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1. Testing an expanded set of sustainable forest management indicators in Mediterranean coppice area

Author

Cutini, A., Ferretti, M., Bertini, G., Brunialti, G., Bagella, S., Chianucci, F., Fabbio, G., Fratini, R., Riccioli, F., Caddeo, C., Calderisi, M., Ciucchi, B., Corradini, S., Cristofolini, F., Cristofori, A., Di Salvatore, U., Ferrara, C., Frati, L., Landi, S., Marchino, L., Patteri, G., Piovosi, M., Roggero, P.P., Seddaiu, G., and Gottardini, E.

Published
2021
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3. Masting is uncommon in trees that depend on mutualist dispersers in the context of global climate and fertility gradients

Author

National Science Foundation (US), Belmont Forum, NASA Astrobiology Institute (US), Pennsylvania State University, Gordon and Betty Moore Foundation, Polish Academy of Sciences, Junta de Andalucía, European Commission, US Forest Service, Qiu, Tong [0000-0003-4499-437X], Aravena, Marie-Claire [0000-0002-4493-4396], Ascoli, Davide [0000-0002-2671-5122], Bergeron, Yves [0000-0003-3707-3687], Bogdziewicz, Michal [0000-0002-6777-9034], Boivin, Thomas [0000-0003-1694-2425], Bonal, Raúl [0000-0002-6084-1771], Caignard, Thomas [0000-0001-5009-4613], Calama Sainz, Rafael Argimiro [0000-0002-2598-9594], Calderon, Sergio Donoso [0000-0002-6324-9351], Camarero, Jesús Julio [0000-0003-2436-2922], Chang-Yang, Chia-Hao [0000-0003-3635-4946], Chave, Jérôme [0000-0002-7766-1347], Chianucci, F. [0000-0002-5688-2060], Courbaud, Benoit [0000-0002-3050-9559], Cutini, A. [0000-0002-7033-2399], Das, Adrian J. [0000-0002-3937-2616], Delpierre, Nicolas [0000-0003-0906-9402], Delzon, Sylvain [0000-0003-3442-1711], Dietze, Michael [0000-0002-2324-2518], Dormont, Laurent [0000-0002-2021-0625], Espelta, Josep Maria [0000-0002-0242-4988], Fahey, Timothy J. [0000-0003-1283-1162], Farfan-Rios, William [0000-0002-3196-0317], Gehring, Catherine [0000-0002-9393-9556], Gilbert, Gregory S. [0000-0002-5195-9903], Gratzer, Georg [0000-0002-6355-6562], Greenberg, Cathryn H. [0000-0002-2831-0989], Guignabert, Arthur [0000-0002-1512-6760], Guo, Qinfeng [0000-0002-4375-4916], Hacket-Pain, Andrew [0000-0003-3676-1568], Hampe, Arndt [0000-0003-2551-9784], Han, Qingmin [0000-0001-6063-6068], Holik, Jan [0000-0002-7949-9689], Hoshizaki, Kazuhiko [0000-0001-7654-9129], Ibáñez, Inés [0000-0002-1054-0727], Johnstone, Jill F. [0000-0001-6131-9339], Journé, Valentin [0000-0001-7324-7002], Kitzberger, T. [0000-0002-9754-4121], Knops, Johannes M.H. [0000-0002-9647-9209], Kunstler, Georges [0000-0002-2544-1940], Kurokawa, Hiroko [0000-0001-8778-8045], Lageard, Jonathan G. A. [0000-0001-8971-0444], LaMontagne, Jalene M. [0000-0001-7713-8591], Lefèvre, François [0000-0003-2242-7251], Leininger, Theodor [0000-0002-4939-3656], Limousin, Jean-Marc [0000-0002-2734-2495], Lutz, James A. [0000-0002-2560-0710], Marell, Anders [0000-0002-3328-4834], McIntire, Eliot J B [0000-0002-6914-8316], Moore, Christopher M. [0000-0001-5783-9833], Moran, Emily [0000-0003-4624-1910], Motta, Renzo [0000-0002-1631-3840], Myers, Jonathan A. [0000-0002-2058-8468], Nagel, Thomas A. [0000-0002-4207-9218], Naoe, Shoji [0000-0002-0605-4187], Noguchi, Mahoko [0000-0002-3393-5131], Oguro, Michio [0000-0003-0974-7971], Parmenter, Robert [0000-0002-2099-6824], Pearse, Ian S. [0000-0001-7098-0495], Pérez-Ramos, Ignacio Manuel [0000-0003-2332-7818], Piechnik, Lukasz [0000-0002-3958-7393], Podgórski, Tomasz [0000-0001-6858-7838], Poulsen, John [0000-0002-1532-9808], Redmond, Miranda D. [0000-0002-4657-7943], Reid, Chantal D. [0000-0002-3811-4076], Rodman, Kyle C. [0000-0001-9538-8412], Rodríguez-Sánchez, Francisco [0000-0002-7981-1599], Šamonil, Pavel [0000-0002-7722-8797], Seget, Barbara [0000-0002-7872-926X], Silman, Miles [0000-0003-4152-2844], Stephenson, Nathan L. [0000-0003-0208-7229], Straub, Jacob N. [0009-0000-3720-7564], Swenson, Jennifer [0000-0002-2069-667X], Swift, Margaret [0000-0001-7913-1879], Thomas, Peter A. [0000-0003-3115-3301], Uriarte, María [0000-0002-0484-0758], Vacchiano, Giorgio [0000-0001-8100-0659], Whipple, Amy V. [0000-0003-3956-7832], Whitham, Thomas G. [0000-0002-1262-4342], Wion, Andreas P. [0000-0002-0701-2843], Wright, S. Joseph [0000-0003-4260-5676], Zhu, Kai [0000-0003-1587-3317], Zimmerman, Jess K. [0000-0002-8179-0731], Zywiec, Magdalena [0000-0002-5992-4051], Clark, James S. [0000-0002-5677-9733], Qiu, Tong, Aravena, Marie-Claire, Ascoli, Davide, Bergeron, Yves, Bogdziewicz, Michal, Boivin, Thomas, Bonal, Raúl, Caignard, Thomas, Cailleret, Maxime, Calama Sainz, Rafael Argimiro, Calderon, Sergio Donoso, Camarero, Jesús Julio, Chang-Yang, Chia-Hao, Chave, Jérôme, Chianucci, F., Courbaud, Benoit, Cutini, A., Das, Adrian J., Delpierre, Nicolas, Delzon, Sylvain, Dietze, Michael, Dormont, Laurent, Espelta, Josep María, Fahey, Timothy J., Farfan-Rios, William, Franklin, Jerry F., Gehring, Catherine, Gilbert, Gregory S., Gratzer, Georg, Greenberg, Cathryn H., Guignabert, Arthur, Guo, Qinfeng, Hacket-Pain, Andrew, Hampe, Arndt, Han, Qingmin, Holik, Jan, Hoshizaki, Kazuhiko, Ibáñez, Inés, Johnstone, Jill F., Journé, Valentin, Kitzberger, Thomas, Knops, Johannes M. H., Kunstler, Georges, Kurokawa, Hiroko, Lageard, Jonathan G. A., LaMontagne, Jalene M., Lefèvre, François, Leininger, Theodor, Limousin, Jean-Marc, Lutz, James A., Macías, Diana, Marell, Anders, McIntire, Eliot J B, Moore, Christopher M., Moran, Emily, Motta, Renzo, Myers, Jonathan A., Nagel, Thomas A., Naoe, Shoji, Noguchi, Mahoko, Oguro, Michio, Parmenter, Robert, Pearse, Ian S., Pérez-Ramos, Ignacio Manuel, Piechnik, Lukasz, Podgórski, Tomasz, Poulsen, John, Redmond, Miranda D., Reid, Chantal D., Rodman, Kyle C., Rodríguez-Sánchez, Francisco, Šamonil, Pavel, Sanguinetti, Javier D., Scher, C. Lane, Seget, Barbara, Sharma, Shubhi, Shibata, M., Silman, Miles, Steele, Michael A., Stephenson, Nathan L., Straub, Jacob N., Sutton, Samantha, Swenson, Jennifer, Swift, Margaret, Thomas, Peter A., Uriarte, María, Vacchiano, Giorgio, Whipple, Amy V., Whitham, Thomas G., Wion, Andreas P., Wright, S. Joseph, Zhu, Kai, Zimmerman, Jess K., Zywiec, Magdalena, Clark, James S., National Science Foundation (US), Belmont Forum, NASA Astrobiology Institute (US), Pennsylvania State University, Gordon and Betty Moore Foundation, Polish Academy of Sciences, Junta de Andalucía, European Commission, US Forest Service, Qiu, Tong [0000-0003-4499-437X], Aravena, Marie-Claire [0000-0002-4493-4396], Ascoli, Davide [0000-0002-2671-5122], Bergeron, Yves [0000-0003-3707-3687], Bogdziewicz, Michal [0000-0002-6777-9034], Boivin, Thomas [0000-0003-1694-2425], Bonal, Raúl [0000-0002-6084-1771], Caignard, Thomas [0000-0001-5009-4613], Calama Sainz, Rafael Argimiro [0000-0002-2598-9594], Calderon, Sergio Donoso [0000-0002-6324-9351], Camarero, Jesús Julio [0000-0003-2436-2922], Chang-Yang, Chia-Hao [0000-0003-3635-4946], Chave, Jérôme [0000-0002-7766-1347], Chianucci, F. [0000-0002-5688-2060], Courbaud, Benoit [0000-0002-3050-9559], Cutini, A. [0000-0002-7033-2399], Das, Adrian J. [0000-0002-3937-2616], Delpierre, Nicolas [0000-0003-0906-9402], Delzon, Sylvain [0000-0003-3442-1711], Dietze, Michael [0000-0002-2324-2518], Dormont, Laurent [0000-0002-2021-0625], Espelta, Josep Maria [0000-0002-0242-4988], Fahey, Timothy J. [0000-0003-1283-1162], Farfan-Rios, William [0000-0002-3196-0317], Gehring, Catherine [0000-0002-9393-9556], Gilbert, Gregory S. [0000-0002-5195-9903], Gratzer, Georg [0000-0002-6355-6562], Greenberg, Cathryn H. [0000-0002-2831-0989], Guignabert, Arthur [0000-0002-1512-6760], Guo, Qinfeng [0000-0002-4375-4916], Hacket-Pain, Andrew [0000-0003-3676-1568], Hampe, Arndt [0000-0003-2551-9784], Han, Qingmin [0000-0001-6063-6068], Holik, Jan [0000-0002-7949-9689], Hoshizaki, Kazuhiko [0000-0001-7654-9129], Ibáñez, Inés [0000-0002-1054-0727], Johnstone, Jill F. [0000-0001-6131-9339], Journé, Valentin [0000-0001-7324-7002], Kitzberger, T. [0000-0002-9754-4121], Knops, Johannes M.H. [0000-0002-9647-9209], Kunstler, Georges [0000-0002-2544-1940], Kurokawa, Hiroko [0000-0001-8778-8045], Lageard, Jonathan G. A. [0000-0001-8971-0444], LaMontagne, Jalene M. [0000-0001-7713-8591], Lefèvre, François [0000-0003-2242-7251], Leininger, Theodor [0000-0002-4939-3656], Limousin, Jean-Marc [0000-0002-2734-2495], Lutz, James A. [0000-0002-2560-0710], Marell, Anders [0000-0002-3328-4834], McIntire, Eliot J B [0000-0002-6914-8316], Moore, Christopher M. [0000-0001-5783-9833], Moran, Emily [0000-0003-4624-1910], Motta, Renzo [0000-0002-1631-3840], Myers, Jonathan A. [0000-0002-2058-8468], Nagel, Thomas A. [0000-0002-4207-9218], Naoe, Shoji [0000-0002-0605-4187], Noguchi, Mahoko [0000-0002-3393-5131], Oguro, Michio [0000-0003-0974-7971], Parmenter, Robert [0000-0002-2099-6824], Pearse, Ian S. [0000-0001-7098-0495], Pérez-Ramos, Ignacio Manuel [0000-0003-2332-7818], Piechnik, Lukasz [0000-0002-3958-7393], Podgórski, Tomasz [0000-0001-6858-7838], Poulsen, John [0000-0002-1532-9808], Redmond, Miranda D. [0000-0002-4657-7943], Reid, Chantal D. [0000-0002-3811-4076], Rodman, Kyle C. [0000-0001-9538-8412], Rodríguez-Sánchez, Francisco [0000-0002-7981-1599], Šamonil, Pavel [0000-0002-7722-8797], Seget, Barbara [0000-0002-7872-926X], Silman, Miles [0000-0003-4152-2844], Stephenson, Nathan L. [0000-0003-0208-7229], Straub, Jacob N. [0009-0000-3720-7564], Swenson, Jennifer [0000-0002-2069-667X], Swift, Margaret [0000-0001-7913-1879], Thomas, Peter A. [0000-0003-3115-3301], Uriarte, María [0000-0002-0484-0758], Vacchiano, Giorgio [0000-0001-8100-0659], Whipple, Amy V. [0000-0003-3956-7832], Whitham, Thomas G. [0000-0002-1262-4342], Wion, Andreas P. [0000-0002-0701-2843], Wright, S. Joseph [0000-0003-4260-5676], Zhu, Kai [0000-0003-1587-3317], Zimmerman, Jess K. [0000-0002-8179-0731], Zywiec, Magdalena [0000-0002-5992-4051], Clark, James S. [0000-0002-5677-9733], Qiu, Tong, Aravena, Marie-Claire, Ascoli, Davide, Bergeron, Yves, Bogdziewicz, Michal, Boivin, Thomas, Bonal, Raúl, Caignard, Thomas, Cailleret, Maxime, Calama Sainz, Rafael Argimiro, Calderon, Sergio Donoso, Camarero, Jesús Julio, Chang-Yang, Chia-Hao, Chave, Jérôme, Chianucci, F., Courbaud, Benoit, Cutini, A., Das, Adrian J., Delpierre, Nicolas, Delzon, Sylvain, Dietze, Michael, Dormont, Laurent, Espelta, Josep María, Fahey, Timothy J., Farfan-Rios, William, Franklin, Jerry F., Gehring, Catherine, Gilbert, Gregory S., Gratzer, Georg, Greenberg, Cathryn H., Guignabert, Arthur, Guo, Qinfeng, Hacket-Pain, Andrew, Hampe, Arndt, Han, Qingmin, Holik, Jan, Hoshizaki, Kazuhiko, Ibáñez, Inés, Johnstone, Jill F., Journé, Valentin, Kitzberger, Thomas, Knops, Johannes M. H., Kunstler, Georges, Kurokawa, Hiroko, Lageard, Jonathan G. A., LaMontagne, Jalene M., Lefèvre, François, Leininger, Theodor, Limousin, Jean-Marc, Lutz, James A., Macías, Diana, Marell, Anders, McIntire, Eliot J B, Moore, Christopher M., Moran, Emily, Motta, Renzo, Myers, Jonathan A., Nagel, Thomas A., Naoe, Shoji, Noguchi, Mahoko, Oguro, Michio, Parmenter, Robert, Pearse, Ian S., Pérez-Ramos, Ignacio Manuel, Piechnik, Lukasz, Podgórski, Tomasz, Poulsen, John, Redmond, Miranda D., Reid, Chantal D., Rodman, Kyle C., Rodríguez-Sánchez, Francisco, Šamonil, Pavel, Sanguinetti, Javier D., Scher, C. Lane, Seget, Barbara, Sharma, Shubhi, Shibata, M., Silman, Miles, Steele, Michael A., Stephenson, Nathan L., Straub, Jacob N., Sutton, Samantha, Swenson, Jennifer, Swift, Margaret, Thomas, Peter A., Uriarte, María, Vacchiano, Giorgio, Whipple, Amy V., Whitham, Thomas G., Wion, Andreas P., Wright, S. Joseph, Zhu, Kai, Zimmerman, Jess K., Zywiec, Magdalena, and Clark, James S.

Abstract

The benefits of masting (volatile, quasi-synchronous seed production at lagged intervals) include satiation of seed predators, but these benefits come with a cost to mutualist pollen and seed dispersers. If the evolution of masting represents a balance between these benefits and costs, we expect mast avoidance in species that are heavily reliant on mutualist dispersers. These effects play out in the context of variable climate and site fertility among species that vary widely in nutrient demand. Meta-analyses of published data have focused on variation at the population scale, thus omitting periodicity within trees and synchronicity between trees. From raw data on 12 million tree-years worldwide, we quantified three components of masting that have not previously been analysed together: (i) volatility, defined as the frequency-weighted year-to-year variation; (ii) periodicity, representing the lag between high-seed years; and (iii) synchronicity, indicating the tree-to-tree correlation. Results show that mast avoidance (low volatility and low synchronicity) by species dependent on mutualist dispersers explains more variation than any other effect. Nutrient-demanding species have low volatility, and species that are most common on nutrient-rich and warm/wet sites exhibit short periods. The prevalence of masting in cold/dry sites coincides with climatic conditions where dependence on vertebrate dispersers is less common than in the wet tropics. Mutualist dispersers neutralize the benefits of masting for predator satiation, further balancing the effects of climate, site fertility and nutrient demands.

Published
2023

4. Models of stand volume and biomass estimation based on LiDAR data for the main forest types in Calabria (southern Italy)

Author

Scrinzi G, Floris A, Clementel F, Bernardini V, Chianucci F, Greco S, Michelini T, Penasa A, Puletti N, Rizzo M, Turco R, and Corona P

Subjects
ALS, LiDAR, Timber Volume, Forest Biomass, Estimation Models, CHM, AlForLab, Forestry, SD1-669.5
Abstract

Models of stand volume and biomass estimation based on LiDAR data for the main forest types in Calabria (southern Italy). The AlForLab project is part of the Cluster MEA (Materials Energy Environment) addressed to the Calabria Region. Estimating the main dendrometric variables of Calabrian forests using models based on publicly available remote sensed data is one of the main purposes of the project. This paper describes the procedures used to develop several thematic maps (raster and vector) of timber volume and phytomass to be used in planning and management activities at both regional and forest property scale, as well as for felling plans, logging projects etc. We used public LiDAR data at medium-low resolution (1.6 pts m-2), acquired on about 90% of Calabrian territory in the frame of a national remote sensing programme of the Italian Ministry of the Environment. Field data from the second National Forest Inventory (INFC 2005) on 311 sample points were used for model calibration, as well as new field data acquired specifically for AlForLab project on 143 angle count samples. A series of regression models to predict volume and its corresponding aboveground biomass (dry and fresh weight) were developed and digital maps at different spatial resolutions were produced, as well as their estimate uncertainties. These models and their mapping products are also an important part of the new-establishing forest Decision Support System CFOR. The adopted models, though based on the same mathematical equation, have specific coefficients for different species and groups of species, according to a forest type classification system compatible with the fourth level of Corine Land Cover. In this way it is possible to apply the models without accessing more detailed forest type maps. All estimation methods and procedures are consistent with national forest inventory models, and with the other new tools proposed by AlForLab project to estimate timber volume, such as the regional tariffs and the field sampling inventory procedures. R2 adjusted values (for models at the highest typological detail) are between 60% and 85%, whereas uncertainties of timber volume estimate (ESS%) range from 25% (for main forest species) up to 50% (for less spread forest types). All processing steps to produce digital maps were performed on open-source environment (R and QGIS).

Published
2017
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5. CFOR: a spatial decision support system dedicated to forest management in Calabria

Author

Puletti N, Floris A, Scrinzi G, Chianucci F, Colle G, Michelini T, Pedot N, Penasa A, Scalercio S, and Corona P

Subjects
SDSS, Geographic Information Systems, Growing Stock, Aboveground Biomass, Forest Management, Forestry, SD1-669.5
Abstract

In this work, a spatial decision support system dedicated to forest management in Calabria (CFOR) is presented. The main aim of the tool is to assess wood production under various harvesting options. All functionalities have been developed by Python and R languages for QGIS. Main inputs are digital models, mainly derived from Lidar, and vector shapefiles.

Published
2017
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6. Large-scale indicators for monitoring forest diversity of the main forest types in Calabria (Italy)

Author

Infusino M, Scalercio S, Corona P, Greco S, Puletti N, and Chianucci F

Subjects
LiDAR, Moths, Biodiversity, Bioindicators Taxa, Landsat, NDVI, Forestry, SD1-669.5
Abstract

Recently, the Society’s perception of forest resources has gone through significant changes. Forest ecosystems play a multifunctional role and host an important portion of the whole biodiversity, particularly in the Mediterranean area. Remote sensing technologies provide a unique way to obtain spatially extensive information on forest ecosystems, but relatively few studies used such information to evaluate forest habitat and biotic diversity. In this paper we evaluate the effectiveness of remote sensing to predict forest diversity by linking remotely sensed information with diversity metrics obtained from ground measurements of butterfly diversity. The field work was carried out in Calabria in four different forest types (beech, chestnut, black pine and silver fir forests). The sampling of Lepidoptera was carried out by LED light traps. We positioned 9 traps per forest type, for a total of 36 sites chosen to sample the different stages of forest succession in each forest type. Samples were carried out once a month from May to November 2015. Data from in situ butterfly measurements were compared with above ground forest biomass estimated from airborne LiDAR with NDVI estimated from Landsat 8. Results indicated that the Geometridae/Noctuideae ratio of lepidopteran communities was significantly correlated with the tree biomass, its distribution among tree size classes and the NDVI. The Geometridae/Noctuidae ratio, therefore, represents an index easy to calculate, which can be employed to integrate data acquired from remote sensing in order to obtain continuous spatial estimates of forest naturalness.

Published
2017
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7. Precision forestry: concepts, tools and perspectives in Italy

Author

Corona P, Chianucci F, Quatrini V, Civitarese V, Clementel F, Costa C, Floris A, Menesatti P, Puletti N, Sperandio G, Verani S, Turco R, Bernardini V, Plutino M, and Scrinzi G

Subjects
Silviculture, Forestry-wood Chain, Forest Inventory, Precision Agriculture, Bio-economy, Digital Agriculture, ICT, Forestry, SD1-669.5
Abstract

Recent advancements in informatics and communication technologies have led to an increasing employment of analytical and communication tools in forestry, including data from satellite, airborne, unmanned aerial vehichles, global positioning systems, and many sensors, devices and other geospatial tools. Precision forestry enables highly repeatable measurements, actions and processes to manage and harvest forest stands, simultaneously allowing information linkages between production and wood supply chain, involving resource managers and environmental community; all these factors are contributing to the wider goal of sustainable forest management. In this report, we review the most recent advances in the precision forestry applications and tools, with particular reference on advanced forest inventory, decision support systems, precision forest harvesting, and wood traceability. We discuss the opportunities and challenges towards implementing precision forest practices in forest management and planning and forest industry in Italy.

Published
2017
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8. Where are we now with European forest multi-taxon biodiversity and where can we head to? - Supplementary Material

Author

Burrascano, S., Chianucci, F., Trentanovi, G., Kepfer-Rojas, S., Sitzia, T., Tinya, F., Doerfler, I., Paillet, Y., Nagel, T.A., Mitic, B., Morillas, L., Munzi, S., van der Sluis, T., Buscot, Francois, Byriel, D.B., et al., Burrascano, S., Chianucci, F., Trentanovi, G., Kepfer-Rojas, S., Sitzia, T., Tinya, F., Doerfler, I., Paillet, Y., Nagel, T.A., Mitic, B., Morillas, L., Munzi, S., van der Sluis, T., Buscot, Francois, and Byriel, D.B., et al.

Abstract

The European biodiversity and forest strategies rely on forest sustainable management (SFM) to conserve forest biodiversity. However, current sustainability assessments hardly account for direct biodiversity indicators. We focused on forest multi-taxon biodiversity to: i) gather and map the existing information; ii) identify knowledge and research gaps; iii) discuss its research potential. We established a research network to fit data on species, standing trees, lying deadwood and sampling unit description from 34 local datasets across 3591 sampling units. A total of 8724 species were represented, with the share of common and rare species varying across taxonomic classes: some included many species with several rare ones (e.g., Insecta); others (e.g., Bryopsida) were represented by few common species. Tree-related structural attributes were sampled in a subset of sampling units (2889; 2356; 2309 and 1388 respectively for diameter, height, deadwood and microhabitats). Overall, multi-taxon studies are biased towards mature forests and may underrepresent the species related to other developmental phases. European forest compositional categories were all represented, but beech forests were over-represented as compared to thermophilous and boreal forests. Most sampling units (94%) were referred to a habitat type of conservation concern. Existing information may support European conservation and SFM strategies in: (i) methodological harmonization and coordinated monitoring; (ii) definition and testing of SFM indicators and thresholds; (iii) data-driven assessment of the effects of environmental and management drivers on multi-taxon forest biological and functional diversity, (iv) multi-scale forest monitoring integrating in-situ and remotely sensed information.

Published
2023

9. Linking seed size and number to trait syndromes in trees

Author

Bogdziewicz, M, Acuña, MCA, Andrus, R, Ascoli, D, Bergeron, Y, Brveiller, D, Boivin, T, Bonal, R, Caignard, T, Cailleret, M, Calama, R, Calderon, SD, Camarero, JJ, Chang-Yang, CH, Chave, J, Chianucci, F, Cleavitt, NL, Courbaud, B, Cutini, A, Curt, T, Das, A, Davi, H, Delpierre, N, Delzon, S, Dietze, M, Dormont, L, Farfan-Rios, W, Gehring, CA, Gilbert, GS, Gratzer, G, Greenberg, CH, Guignabert, A, Guo, Q, Hacket-Pain, A, Hampe, A, Han, Q, Hoshizaki, K, Ibanez, I, Johnstone, JF, Journé, V, Kitzberger, T, Knops, JMH, Kunstler, G, Kobe, R, Lageard, JGA, LaMontagne, JM, Ledwon, M, Leininger, T, Limousin, JM, Lutz, JA, Macias, D, Marell, A, McIntire, EJB, Moran, E, Motta, R, Myers, J, Nagel, TA, Naoe, S, Noguchi, M, Oguro, M, Kurokawa, H, Ourcival, JM, Parmenter, R, Perez-Ramos, IM, Piechnik, L, Podgórski, T, Poulsen, J, Qiu, T, Redmond, MD, Reid, CD, Rodman, KC, Šamonil, P, Holik, J, Scher, CL, Van Marle, HS, Seget, B, Shibata, M, Sharma, S, Silman, M, Steele, MA, Straub, JN, Sun, IF, Sutton, S, Swenson, J, Thomas, PA, Uriarte, M, Vacchiano, G, Veblen, TT, Wright, B, Wright, Sam, Whitham, TG, Zhu, K, Zimmerman, JK, Zywiec, M, Clark, JS, Bogdziewicz, M, Acuña, MCA, Andrus, R, Ascoli, D, Bergeron, Y, Brveiller, D, Boivin, T, Bonal, R, Caignard, T, Cailleret, M, Calama, R, Calderon, SD, Camarero, JJ, Chang-Yang, CH, Chave, J, Chianucci, F, Cleavitt, NL, Courbaud, B, Cutini, A, Curt, T, Das, A, Davi, H, Delpierre, N, Delzon, S, Dietze, M, Dormont, L, Farfan-Rios, W, Gehring, CA, Gilbert, GS, Gratzer, G, Greenberg, CH, Guignabert, A, Guo, Q, Hacket-Pain, A, Hampe, A, Han, Q, Hoshizaki, K, Ibanez, I, Johnstone, JF, Journé, V, Kitzberger, T, Knops, JMH, Kunstler, G, Kobe, R, Lageard, JGA, LaMontagne, JM, Ledwon, M, Leininger, T, Limousin, JM, Lutz, JA, Macias, D, Marell, A, McIntire, EJB, Moran, E, Motta, R, Myers, J, Nagel, TA, Naoe, S, Noguchi, M, Oguro, M, Kurokawa, H, Ourcival, JM, Parmenter, R, Perez-Ramos, IM, Piechnik, L, Podgórski, T, Poulsen, J, Qiu, T, Redmond, MD, Reid, CD, Rodman, KC, Šamonil, P, Holik, J, Scher, CL, Van Marle, HS, Seget, B, Shibata, M, Sharma, S, Silman, M, Steele, MA, Straub, JN, Sun, IF, Sutton, S, Swenson, J, Thomas, PA, Uriarte, M, Vacchiano, G, Veblen, TT, Wright, B, Wright, Sam, Whitham, TG, Zhu, K, Zimmerman, JK, Zywiec, M, and Clark, JS

Abstract

Aim: Our understanding of the mechanisms that maintain forest diversity under changing climate can benefit from knowledge about traits that are closely linked to fitness. We tested whether the link between traits and seed number and seed size is consistent with two hypotheses, termed the leaf economics spectrum and the plant size syndrome, or whether reproduction represents an independent dimension related to a seed size–seed number trade-off. Location: Most of the data come from Europe, North and Central America and East Asia. A minority of the data come from South America, Africa and Australia. Time period: 1960–2022. Major taxa studied: Trees. Methods: We gathered 12 million observations of the number of seeds produced in 784 tree species. We estimated the number of seeds produced by individual trees and scaled it up to the species level. Next, we used principal components analysis and generalized joint attribute modelling (GJAM) to map seed number and size on the tree traits spectrum. Results: Incorporating seed size and number into trait analysis while controlling for environment and phylogeny with GJAM exposes relationships in trees that might otherwise remain hidden. Production of the large total biomass of seeds [product of seed number and seed size; hereafter, species seed productivity (SSP)] is associated with high leaf area, low foliar nitrogen, low specific leaf area (SLA) and dense wood. Production of high seed numbers is associated with small seeds produced by nutrient-demanding species with softwood, small leaves and high SLA. Trait covariation is consistent with opposing strategies: one fast-growing, early successional, with high dispersal, and the other slow-growing, stress-tolerant, that recruit in shaded conditions. Main conclusions: Earth system models currently assume that reproductive allocation is indifferent among plant functional types. Easily measurable seed size is a strong predictor of the seed number and species seed productivity. The co

Published
2023

10. Masting is uncommon in trees that depend on mutualist dispersers in the context of global climate and fertility gradients

Author

Qiu, T, Aravena, MC, Ascoli, D, Bergeron, Y, Bogdziewicz, M, Boivin, T, Bonal, R, Caignard, T, Cailleret, M, Calama, R, Calderon, SD, Camarero, JJ, Chang-Yang, CH, Chave, J, Chianucci, F, Courbaud, B, Cutini, A, Das, AJ, Delpierre, N, Delzon, S, Dietze, M, Dormont, L, Espelta, JM, Fahey, TJ, Farfan-Rios, W, Franklin, JF, Gehring, CA, Gilbert, GS, Gratzer, G, Greenberg, CH, Guignabert, A, Guo, Q, Hacket-Pain, A, Hampe, A, Han, Q, Holik, J, Hoshizaki, K, Ibanez, I, Johnstone, JF, Journé, V, Kitzberger, T, Knops, JMH, Kunstler, G, Kurokawa, H, Lageard, J, LaMontagne, JM, Lefevre, F, Leininger, T, Limousin, JM, Lutz, JA, Macias, D, Marell, A, McIntire, EJB, Moore, CM, Moran, E, Motta, R, Myers, JA, Nagel, TA, Naoe, S, Noguchi, M, Oguro, M, Parmenter, R, Pearse, IS, Perez-Ramos, IM, Piechnik, L, Podgorski, T, Poulsen, J, Redmond, MD, Reid, CD, Rodman, KC, Rodriguez-Sanchez, F, Samonil, P, Sanguinetti, JD, Scher, CL, Seget, B, Sharma, S, Shibata, M, Silman, M, Steele, MA, Stephenson, NL, Straub, JN, Sutton, S, Swenson, JJ, Swift, M, Thomas, PA, Uriarte, M, Vacchiano, G, Whipple, AV, Whitham, TG, Wion, AP, Wright, SJ, Zhu, K, Zimmerman, JK, Zywiec, M, Clark, JS, Qiu, T, Aravena, MC, Ascoli, D, Bergeron, Y, Bogdziewicz, M, Boivin, T, Bonal, R, Caignard, T, Cailleret, M, Calama, R, Calderon, SD, Camarero, JJ, Chang-Yang, CH, Chave, J, Chianucci, F, Courbaud, B, Cutini, A, Das, AJ, Delpierre, N, Delzon, S, Dietze, M, Dormont, L, Espelta, JM, Fahey, TJ, Farfan-Rios, W, Franklin, JF, Gehring, CA, Gilbert, GS, Gratzer, G, Greenberg, CH, Guignabert, A, Guo, Q, Hacket-Pain, A, Hampe, A, Han, Q, Holik, J, Hoshizaki, K, Ibanez, I, Johnstone, JF, Journé, V, Kitzberger, T, Knops, JMH, Kunstler, G, Kurokawa, H, Lageard, J, LaMontagne, JM, Lefevre, F, Leininger, T, Limousin, JM, Lutz, JA, Macias, D, Marell, A, McIntire, EJB, Moore, CM, Moran, E, Motta, R, Myers, JA, Nagel, TA, Naoe, S, Noguchi, M, Oguro, M, Parmenter, R, Pearse, IS, Perez-Ramos, IM, Piechnik, L, Podgorski, T, Poulsen, J, Redmond, MD, Reid, CD, Rodman, KC, Rodriguez-Sanchez, F, Samonil, P, Sanguinetti, JD, Scher, CL, Seget, B, Sharma, S, Shibata, M, Silman, M, Steele, MA, Stephenson, NL, Straub, JN, Sutton, S, Swenson, JJ, Swift, M, Thomas, PA, Uriarte, M, Vacchiano, G, Whipple, AV, Whitham, TG, Wion, AP, Wright, SJ, Zhu, K, Zimmerman, JK, Zywiec, M, and Clark, JS

Abstract

The benefits of masting (volatile, quasi-synchronous seed production at lagged intervals) include satiation of seed predators, but these benefits come with a cost to mutualist pollen and seed dispersers. If the evolution of masting represents a balance between these benefits and costs, we expect mast avoidance in species that are heavily reliant on mutualist dispersers. These effects play out in the context of variable climate and site fertility among species that vary widely in nutrient demand. Meta-analyses of published data have focused on variation at the population scale, thus omitting periodicity within trees and synchronicity between trees. From raw data on 12 million tree-years worldwide, we quantified three components of masting that have not previously been analysed together: (i) volatility, defined as the frequency-weighted year-to-year variation; (ii) periodicity, representing the lag between high-seed years; and (iii) synchronicity, indicating the tree-to-tree correlation. Results show that mast avoidance (low volatility and low synchronicity) by species dependent on mutualist dispersers explains more variation than any other effect. Nutrient-demanding species have low volatility, and species that are most common on nutrient-rich and warm/wet sites exhibit short periods. The prevalence of masting in cold/dry sites coincides with climatic conditions where dependence on vertebrate dispersers is less common than in the wet tropics. Mutualist dispersers neutralize the benefits of masting for predator satiation, further balancing the effects of climate, site fertility and nutrient demands.

Published
2023

11. Where are we now with European forest multi-taxon biodiversity and where can we head to?

Author

Burrascano, S., Chianucci, F., Trentanovi, G., Kepfer-Rojas, S., Sitzia, T., Tinya, F., Doerfler, I., Paillet, Y., Nagel, T.A., Mitic, B., Morillas, L., Munzi, S., van der Sluis, T., Buscot, Francois, Byriel, D.B., et al., Burrascano, S., Chianucci, F., Trentanovi, G., Kepfer-Rojas, S., Sitzia, T., Tinya, F., Doerfler, I., Paillet, Y., Nagel, T.A., Mitic, B., Morillas, L., Munzi, S., van der Sluis, T., Buscot, Francois, and Byriel, D.B., et al.

Abstract

The European biodiversity and forest strategies rely on forest sustainable management (SFM) to conserve forest biodiversity. However, current sustainability assessments hardly account for direct biodiversity indicators. We focused on forest multi-taxon biodiversity to: i) gather and map the existing information; ii) identify knowledge and research gaps; iii) discuss its research potential. We established a research network to fit data on species, standing trees, lying deadwood and sampling unit description from 34 local datasets across 3591 sampling units. A total of 8724 species were represented, with the share of common and rare species varying across taxonomic classes: some included many species with several rare ones (e.g., Insecta); others (e.g., Bryopsida) were represented by few common species. Tree-related structural attributes were sampled in a subset of sampling units (2889; 2356; 2309 and 1388 respectively for diameter, height, deadwood and microhabitats). Overall, multi-taxon studies are biased towards mature forests and may underrepresent the species related to other developmental phases. European forest compositional categories were all represented, but beech forests were over-represented as compared to thermophilous and boreal forests. Most sampling units (94%) were referred to a habitat type of conservation concern. Existing information may support European conservation and SFM strategies in: (i) methodological harmonization and coordinated monitoring; (ii) definition and testing of SFM indicators and thresholds; (iii) data-driven assessment of the effects of environmental and management drivers on multi-taxon forest biological and functional diversity, (iv) multi-scale forest monitoring integrating in-situ and remotely sensed information.

Published
2023

12. Linking seed size and number to trait syndromes in trees

Author

National Science Foundation (US), Belmont Forum, NASA Astrobiology Institute (US), Gordon and Betty Moore Foundation, National Science Centre (Poland), Polish National Agency for Academic Exchange, US Forest Service, Bogdziewicz, Michal [0000-0002-6777-9034], Aravena, Marie-Claire [0000-0002-4493-4396], Andrus, Robert [0000-0003-0968-8377], Ascoli, Davide [0000-0002-0546-4467], Bergeron, Yves [0000-0003-3707-3687], Bonal, Raul [0000-0002-6084-1771], Caignard, Thomas [0000-0001-5009-4613], Calama, Rafael [0000-0002-2598-9594], Calderon, Sergio Donoso [0000-0002-4599-4702], Camarero, J Julio [0000-0003-2436-2922], Chang-Yang, Chia-Hao [0000-0003-3635-4946], Cleavitt, Natalie L [0000-0003-0425-2486], Courbaud, Benoit [0000-0002-3050-9559], Curt, Thomas [0000-0002-2654-3009], Davi, Hendrik [0000-0001-8828-3145], Delpierre, Nicolas [0000-0003-0906-9402], Delzon, Sylvain [0000-0003-3442-1711], Dietze, Michael [0000-0002-2324-2518], Dormont, Laurent [0000-0002-2021-0625], Farfan-Rios, William [0000-0002-3196-0317], Gehring, Catherine [0000-0002-9393-9556], Gilbert, Gregory S. [0000-0002-5195-9903], Gratzer, Georg [0000-0002-6355-6562], Greenberg, Cathryn H. [0000-0002-2831-0989], Guignabert, Arthur [0000-0002-1512-6760], Guo,Qinfeng [0000-0002-4375-4916], Hacket-Pain, Andrew [0000-0003-3676-1568], Hampe, Arndt [0000-0003-2551-9784], Han, Qingmin [0000-0001-6063-6068], Hoshizaki, Kazuhiko [0000-0001-7654-9129], Ibáñez, Inés [0000-0002-1054-0727], Johnstone, Jill F. [0000-0001-6131-9339], Journé, Valentin [0000-0001-7324-7002], Kitzberger, Thomas [0000-0002-9754-4121], Knops, Johannes M. H. [0000-0002-9647-9209], Kunstler, Georges [0000-0002-2544-1940], Kobe, Richard K. [0000-0002-0943-9613], Lageard, Jonathan G. A. [0000-0001-8971-0444], LaMontagne, Jalene M. [0000-0001-7713-8591], Ledwon, Mateusz [0000-0003-3017-6376], Leininger, Theodor [0000-0002-4939-3656], Limousin, Jean-Marc [0000-0002-2734-2495], Lutz, James A. [0000-0002-2560-0710], Moran, Emily [0000-0003-4624-1910], Motta, Renzo [0000-0002-1631-3840], Myers, Jonathan A. [0000-0002-2058-8468], Nagel, Thomas A. [0000-0002-4207-9218], Shoji, N. [0000-0002-0605-4187], Michio Oguro, Mahoko Noguchi [0000-0002-3393-5131], Ourcival, Jean-Marc [0000-0002-3557-3496], Parmenter, Robert [0000-0002-2099-6824], Perez-Ramos, Ignacio M. [0000-0003-2332-7818], Piechnik, Lukasz [0000-0002-3958-7393], Poulsen, John [0000-0002-1532-9808], Qiu, Tong [0000-0003-4499-437X], Redmond, Miranda D. [0000-0002-4657-7943], Reid, Chantal D. [0000-0002-3811-4076], Rodman, Kyle C. [0000-0001-9538-8412], Scher, C. Lane [0000-0003-3689-5769], Seget, Barbara [0000-0002-7872-926X], Silman, Miles [0000-0003-4152-2844], Sun, I-Fang [0000-0001-9749-8324], Sutton, Samantha [0000-0002-1491-7763], Swenson, Jennifer J. [0000-0002-2069-667X], Thomas, Peter A. [0000-0003-3115-3301], Uriarte, Maria [0000-0002-0484-0758], Vacchiano, Giorgio [0000-0001-8100-0659], Veblen, Thomas T. [0000-0002-3037-640X], Wright, Boyd [0000-0002-6322-4904], Wright, S. Joseph [0000-0003-4260-5676], Zhu, Kai [0000-0003-1587-3317], Zimmerman, Jess K. [0000-0002-8179-0731], Zywiec, Magdalena [0000-0002-5992-4051], Bogdziewicz, Michal, Aravena, Marie-Claire, Andrus, Robert, Ascoli, Davide, Bergeron, Yves, Brveille, Daniel, Boivin, Thomas, Bonal, Raúl, Caignard, Thomas, Cailleret, Maxime, Calama Sainz, Rafael Argimiro, Calderon, Sergio Donoso, Camarero, Jesús Julio, Chang-Yang, Chia-Hao, Chave, Jérôme, Chianucci, F., Cleavitt, Natalie L, Courbaud, Benoit, Cutini, A., Curt, Thomas, Das, Adrian J., Davi, Hendrik, Delpierre, Nicolas, Delzon, Sylvain, Dietze, Michael, Dormont, Laurent, Farfan-Rios, William, Gehring, Catherine, Gilbert, Gregory S., Gratzer, Georg, Greenberg, Cathryn H., Guignabert, Arthur, Guo, Qinfeng, Hacket-Pain, Andrew, Hampe, Arndt, Han, Qingmin, Hoshizaki, Kazuhiko, Ibáñez, Inés, Johnstone, Jill F., Journé, Valentin, Kitzberger, Thomas, Knops, Johannes M. H., Kunstler, Georges, Kobe, Richard K., Lageard, Jonathan G. A., LaMontagne, Jalene M., Ledwon, Mateusz, Leininger, Theodor, Limousin, Jean-Marc, Lutz, James A., Macías, Diana, McIntire, Eliot J B, Moran, Emily, Motta, Renzo, Myers, Jonathan A., Nagel, Thomas A., Shoji, N., Michio Oguro, Mahoko Noguchi, Kurokawa, Hiroko, Ourcival, Jean-Marc, Parmenter, Robert, Pérez-Ramos, Ignacio Manuel, Piechnik, Lukasz, Poulsen, John, Podgórski, Tomasz, Qiu, Tong, Redmond, Miranda D., Reid, Chantal D., Rodman, Kyle C., Šamonil, Pavel, Holik, Jan, Scher, C. Lane, van Marle, Harald S., Seget, Barbara, Shibata, M., Sharma, Shubhi, Silman, Miles, Steele, Michael A., Straub, Jacob N., Sun, I-Fang, Sutton, Samantha, Swenson, Jennifer J., Thomas, Peter A., Uriarte, Maria, Vacchiano, Giorgio, Veblen, Thomas T., Wright, Boyd, Wright, S. Joseph, Whitham, Thomas G., Zhu, Kai, Zimmerman, Jess K., Zywiec, Magdalena, Clark, James S., National Science Foundation (US), Belmont Forum, NASA Astrobiology Institute (US), Gordon and Betty Moore Foundation, National Science Centre (Poland), Polish National Agency for Academic Exchange, US Forest Service, Bogdziewicz, Michal [0000-0002-6777-9034], Aravena, Marie-Claire [0000-0002-4493-4396], Andrus, Robert [0000-0003-0968-8377], Ascoli, Davide [0000-0002-0546-4467], Bergeron, Yves [0000-0003-3707-3687], Bonal, Raul [0000-0002-6084-1771], Caignard, Thomas [0000-0001-5009-4613], Calama, Rafael [0000-0002-2598-9594], Calderon, Sergio Donoso [0000-0002-4599-4702], Camarero, J Julio [0000-0003-2436-2922], Chang-Yang, Chia-Hao [0000-0003-3635-4946], Cleavitt, Natalie L [0000-0003-0425-2486], Courbaud, Benoit [0000-0002-3050-9559], Curt, Thomas [0000-0002-2654-3009], Davi, Hendrik [0000-0001-8828-3145], Delpierre, Nicolas [0000-0003-0906-9402], Delzon, Sylvain [0000-0003-3442-1711], Dietze, Michael [0000-0002-2324-2518], Dormont, Laurent [0000-0002-2021-0625], Farfan-Rios, William [0000-0002-3196-0317], Gehring, Catherine [0000-0002-9393-9556], Gilbert, Gregory S. [0000-0002-5195-9903], Gratzer, Georg [0000-0002-6355-6562], Greenberg, Cathryn H. [0000-0002-2831-0989], Guignabert, Arthur [0000-0002-1512-6760], Guo,Qinfeng [0000-0002-4375-4916], Hacket-Pain, Andrew [0000-0003-3676-1568], Hampe, Arndt [0000-0003-2551-9784], Han, Qingmin [0000-0001-6063-6068], Hoshizaki, Kazuhiko [0000-0001-7654-9129], Ibáñez, Inés [0000-0002-1054-0727], Johnstone, Jill F. [0000-0001-6131-9339], Journé, Valentin [0000-0001-7324-7002], Kitzberger, Thomas [0000-0002-9754-4121], Knops, Johannes M. H. [0000-0002-9647-9209], Kunstler, Georges [0000-0002-2544-1940], Kobe, Richard K. [0000-0002-0943-9613], Lageard, Jonathan G. A. [0000-0001-8971-0444], LaMontagne, Jalene M. [0000-0001-7713-8591], Ledwon, Mateusz [0000-0003-3017-6376], Leininger, Theodor [0000-0002-4939-3656], Limousin, Jean-Marc [0000-0002-2734-2495], Lutz, James A. [0000-0002-2560-0710], Moran, Emily [0000-0003-4624-1910], Motta, Renzo [0000-0002-1631-3840], Myers, Jonathan A. [0000-0002-2058-8468], Nagel, Thomas A. [0000-0002-4207-9218], Shoji, N. [0000-0002-0605-4187], Michio Oguro, Mahoko Noguchi [0000-0002-3393-5131], Ourcival, Jean-Marc [0000-0002-3557-3496], Parmenter, Robert [0000-0002-2099-6824], Perez-Ramos, Ignacio M. [0000-0003-2332-7818], Piechnik, Lukasz [0000-0002-3958-7393], Poulsen, John [0000-0002-1532-9808], Qiu, Tong [0000-0003-4499-437X], Redmond, Miranda D. [0000-0002-4657-7943], Reid, Chantal D. [0000-0002-3811-4076], Rodman, Kyle C. [0000-0001-9538-8412], Scher, C. Lane [0000-0003-3689-5769], Seget, Barbara [0000-0002-7872-926X], Silman, Miles [0000-0003-4152-2844], Sun, I-Fang [0000-0001-9749-8324], Sutton, Samantha [0000-0002-1491-7763], Swenson, Jennifer J. [0000-0002-2069-667X], Thomas, Peter A. [0000-0003-3115-3301], Uriarte, Maria [0000-0002-0484-0758], Vacchiano, Giorgio [0000-0001-8100-0659], Veblen, Thomas T. [0000-0002-3037-640X], Wright, Boyd [0000-0002-6322-4904], Wright, S. Joseph [0000-0003-4260-5676], Zhu, Kai [0000-0003-1587-3317], Zimmerman, Jess K. [0000-0002-8179-0731], Zywiec, Magdalena [0000-0002-5992-4051], Bogdziewicz, Michal, Aravena, Marie-Claire, Andrus, Robert, Ascoli, Davide, Bergeron, Yves, Brveille, Daniel, Boivin, Thomas, Bonal, Raúl, Caignard, Thomas, Cailleret, Maxime, Calama Sainz, Rafael Argimiro, Calderon, Sergio Donoso, Camarero, Jesús Julio, Chang-Yang, Chia-Hao, Chave, Jérôme, Chianucci, F., Cleavitt, Natalie L, Courbaud, Benoit, Cutini, A., Curt, Thomas, Das, Adrian J., Davi, Hendrik, Delpierre, Nicolas, Delzon, Sylvain, Dietze, Michael, Dormont, Laurent, Farfan-Rios, William, Gehring, Catherine, Gilbert, Gregory S., Gratzer, Georg, Greenberg, Cathryn H., Guignabert, Arthur, Guo, Qinfeng, Hacket-Pain, Andrew, Hampe, Arndt, Han, Qingmin, Hoshizaki, Kazuhiko, Ibáñez, Inés, Johnstone, Jill F., Journé, Valentin, Kitzberger, Thomas, Knops, Johannes M. H., Kunstler, Georges, Kobe, Richard K., Lageard, Jonathan G. A., LaMontagne, Jalene M., Ledwon, Mateusz, Leininger, Theodor, Limousin, Jean-Marc, Lutz, James A., Macías, Diana, McIntire, Eliot J B, Moran, Emily, Motta, Renzo, Myers, Jonathan A., Nagel, Thomas A., Shoji, N., Michio Oguro, Mahoko Noguchi, Kurokawa, Hiroko, Ourcival, Jean-Marc, Parmenter, Robert, Pérez-Ramos, Ignacio Manuel, Piechnik, Lukasz, Poulsen, John, Podgórski, Tomasz, Qiu, Tong, Redmond, Miranda D., Reid, Chantal D., Rodman, Kyle C., Šamonil, Pavel, Holik, Jan, Scher, C. Lane, van Marle, Harald S., Seget, Barbara, Shibata, M., Sharma, Shubhi, Silman, Miles, Steele, Michael A., Straub, Jacob N., Sun, I-Fang, Sutton, Samantha, Swenson, Jennifer J., Thomas, Peter A., Uriarte, Maria, Vacchiano, Giorgio, Veblen, Thomas T., Wright, Boyd, Wright, S. Joseph, Whitham, Thomas G., Zhu, Kai, Zimmerman, Jess K., Zywiec, Magdalena, and Clark, James S.

Abstract

Aim Our understanding of the mechanisms that maintain forest diversity under changing climate can benefit from knowledge about traits that are closely linked to fitness. We tested whether the link between traits and seed number and seed size is consistent with two hypotheses, termed the leaf economics spectrum and the plant size syndrome, or whether reproduction represents an independent dimension related to a seed size–seed number trade-off. Location Most of the data come from Europe, North and Central America and East Asia. A minority of the data come from South America, Africa and Australia. Time period 1960–2022. Major taxa studied Trees. Methods We gathered 12 million observations of the number of seeds produced in 784 tree species. We estimated the number of seeds produced by individual trees and scaled it up to the species level. Next, we used principal components analysis and generalized joint attribute modelling (GJAM) to map seed number and size on the tree traits spectrum. Results Incorporating seed size and number into trait analysis while controlling for environment and phylogeny with GJAM exposes relationships in trees that might otherwise remain hidden. Production of the large total biomass of seeds [product of seed number and seed size; hereafter, species seed productivity (SSP)] is associated with high leaf area, low foliar nitrogen, low specific leaf area (SLA) and dense wood. Production of high seed numbers is associated with small seeds produced by nutrient-demanding species with softwood, small leaves and high SLA. Trait covariation is consistent with opposing strategies: one fast-growing, early successional, with high dispersal, and the other slow-growing, stress-tolerant, that recruit in shaded conditions. Main conclusions Earth system models currently assume that reproductive allocation is indifferent among plant functional types. Easily measurable seed size is a strong predictor of the seed number and species seed productivity. The connectio

Published
2023

13. Relationships between overstory and understory structure and diversity in semi-natural mixed floodplain forests at Bosco Fontana (Italy)

Author

Chianucci F, Minari E, Fardusi Most J, Merlini P, Cutini A, Corona P, and Mason F

Subjects
Deciduous Forests, Functional Diversity, Diversity Measure, Hemispherical Photography, Leaf Area Index, Forestry, SD1-669.5
Abstract

The “Bosco Fontana” natural reserve includes the last remaining mixed floodplain forest in northern Italy and one of the most endangered ecosystems in Europe. Its effective management is hindered by the complexity of interactions of mixed-tree species and the influence of environmental factors on understory plant diversity. In this study we analyzed the patterns of natural evolution in semi-natural floodplain forest stands at Bosco Fontana with the aim of better understanding its current natural processes and dynamics. Stand structure, taxonomic and functional diversity, species composition, and leaf area index (LAI) of overstory and understory layers were surveyed in permanent plots over two inventory years (1995, 2005). The influence of environmental factors on understory plant diversity was assessed using Ellenberg’s indices for light, soil moisture, soil nutrient and soil reaction. Results indicated that overstory species composition varies according to the soil moisture, with hornbeam prevailing in xeric sites and deciduous oak species in mesic sites. Xeric sites showed high functional dispersion in both drought and shade tolerant traits, while it was significantly lower in both overstory and understory in the moist site. Functional dispersion of drought tolerance in the overstory and understory layers was positively correlated, while species richness was negatively correlated between the two layers. Diversity in the understory was mainly correlated with soil conditions. Understory LAI was positively correlated with overstory LAI in xeric and mesic plots, while no correlations were found in the moist plot. Overall, our results suggest that site conditions (soil conditions and water availability) are the major drivers of understory and overstory dynamics in the study forest. Hence, local site conditions and the understory should be carefully considered in the management of mixed floodplain forests.

Published
2016
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15. The estimation of canopy attributes from digital cover photography by two different image analysis methods

Author

Chianucci F, Chiavetta U, and Cutini A

Subjects
Digital Cover Photography, Canopy Cover, Gap Fraction, Leaf Area Index, Dense Canopy, Forestry, SD1-669.5
Abstract

Proximal sensing methods using digital photography have gained wide acceptance for describing and quantifying canopy properties. Digital hemispherical photography (DHP) is the most widely used photographic technique for canopy description. However, the main drawbacks of DHP have been the tedious and time-consuming image processing required and the sensitivity of the results to the image analysis methods. Recently, an alternative approach using vertical photography has been proposed, namely, digital cover photography (DCP). The method captures detailed vertical canopy gaps and performs canopy analysis by dividing gap fractions into large between-crown gaps and small within- crown gaps. Although DCP is a rapid, simple and readily available method, the processing steps involved in gap fraction analysis have a large subjective component by default. In this contribution, we propose an alternative simple, more objective and easily implemented procedure to perform gap fraction analysis of DCP images. We compared the performance of the two image analysis methods in dense deciduous forests. Leaf area index (LAI) estimates from the two image analysis methods were compared with reference LAI measurements obtained through the use of litter traps to measure leaf fall. Both methods provided accurate estimates of the total gap fraction and, thus, accurate estimates of the LAI. The new proposed procedure is recommended for dense canopies because the subjective classification of large gaps is most error-prone in stands with dense canopy cover.

Published
2014
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17. Allometric relationships for volume and biomass for stone pine (Pinus pinea L.) in Italian coastal stands

Author

Cutini A, Chianucci F, and Manetti Maria C

Subjects
Allometric Equations, Aboveground Biomass, Belowground Biomass, Carbon Stocks, Biomass Expansion Factor, Forestry, SD1-669.5
Abstract

Tree biomass plays a key role in sustainable forest management and in determining forest carbon stocks. Accurate estimates based on species-specific empirical data are necessary for regional and national inventories and forest carbon management. In this study, we obtained allometric relationships for volume and aboveground biomass for stone pine (Pinus pinea) based on empirical data collected in four coastal stands in Italy. Root sampling was also performed. The results enabled generalized equations for volume and aboveground biomass to be developed. However, an analysis also showed several differences in biomass allocation in stone pine resulting from different stand characteristics, emphasizing the importance of stand-dependent factors for adjusting regional or national biomass calculations. Biomass expansion factors were also provided. This study provides tools to help forest managers in quantifying volume and biomass, thereby contributing to the accurate estimation of carbon sequestration and stocks in stone pine stands in Italy.

Published
2013
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18. Digital hemispherical photography for estimating forest canopy properties: current controversies and opportunities

Author

Chianucci F and Cutini A

Subjects
Digital Hemispherical Photography, Fisheye Lens, Leaf Area Index, Radiative Transfer, Foliage Clumping, Forestry, SD1-669.5
Abstract

Hemispherical photography has been used since the 1960s in forest ecology. Nevertheless, specific constraints related to film cameras have progressively prevented widespread adoption of this photographic method. Advances in digital photographic technology hold great promise to overcome the major drawbacks of hemispherical photography, particularly regarding field techniques and image processing aspects. This contribution is aimed to: (i) provide a basic foreground of digital hemispherical photography; (ii) illustrate the major strengths and weakness of the method; (iii) provide an reliable protocol for image acquisition and analysis, to get the most out of using hemispherical photography for canopy properties extraction.

Published
2012
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19. MASTREE+ : time-series of plant reproductive effort from six continents

Author

Hacket-Pain, Andrew, Foest, J.J., Pearse, I.S., LaMontagne, J.M., Koenig, W.D., Vacchiano, G., Bogdziewicz, M., Caignard, T., Celebias, P., van Dormolen, J., Fernández-Martínez, Marcos, Moris, J.V., Palaghianu, C., Pesendorfer, Mario, Satake, A., Schermer, E., Tanentzap, A.J., Thomas, P.A., Vecchio, D., Wion, A.P., Wohlgemuth, T., Xue, T., Abernethy, K., Aravena Acuña, M.C., Daniel Barrera, M., Barton, J.H., Boutin, S., Bush, E.R., Donoso Calderón, S., Carevic, F.S., de Castilho, C.V., Manuel Cellini, J., Chapman, C.A., Chapman, H., Chianucci, F., da Costa, P., Croisé, L., Cutini, A., Dantzer, B., Justin DeRose, R., Dikangadissi, J.T., Dimoto, E., da Fonseca, F.L., Gallo, L., Gratzer, G., Greene, D.F., Hadad, M.A., Herrera, A.H., Jeffery, K.J., Johnstone, J. F, Kalbitzer, U., Kantorowicz, W., Klimas, C.A., Lageard, J.G.A., Lane, J., Lapin, K., Ledwoń, M., Leeper, A.C., Vanessa Lencinas, M., Lira-Guedes, A.C., Lordon, M.C., Marchelli, P., Marino, S., Schmidt Van Marle, H., McAdam, A.G., Momont, L.R.W., Nicolas, M., de Oliveira Wadt, L.H., Panahi, P., Martínez Pastur, G., Patterson, T., Luis Peri, P., Piechnik, Ł., Pourhashemi, M., Espinoza Quezada, C., Roig, F.A., Peña Rojas, K., Micaela Rosas, Y., Schueler, S., Seget, B., Soler, R., Steele, M.A., Toro-Manríquez, M., Tutin, C.E.G., Ukizintambara, T., White, L., Yadok, B., Willis, J.L., Zolles, A., Żywiec, M., Ascoli, D., Hacket-Pain, Andrew, Foest, J.J., Pearse, I.S., LaMontagne, J.M., Koenig, W.D., Vacchiano, G., Bogdziewicz, M., Caignard, T., Celebias, P., van Dormolen, J., Fernández-Martínez, Marcos, Moris, J.V., Palaghianu, C., Pesendorfer, Mario, Satake, A., Schermer, E., Tanentzap, A.J., Thomas, P.A., Vecchio, D., Wion, A.P., Wohlgemuth, T., Xue, T., Abernethy, K., Aravena Acuña, M.C., Daniel Barrera, M., Barton, J.H., Boutin, S., Bush, E.R., Donoso Calderón, S., Carevic, F.S., de Castilho, C.V., Manuel Cellini, J., Chapman, C.A., Chapman, H., Chianucci, F., da Costa, P., Croisé, L., Cutini, A., Dantzer, B., Justin DeRose, R., Dikangadissi, J.T., Dimoto, E., da Fonseca, F.L., Gallo, L., Gratzer, G., Greene, D.F., Hadad, M.A., Herrera, A.H., Jeffery, K.J., Johnstone, J. F, Kalbitzer, U., Kantorowicz, W., Klimas, C.A., Lageard, J.G.A., Lane, J., Lapin, K., Ledwoń, M., Leeper, A.C., Vanessa Lencinas, M., Lira-Guedes, A.C., Lordon, M.C., Marchelli, P., Marino, S., Schmidt Van Marle, H., McAdam, A.G., Momont, L.R.W., Nicolas, M., de Oliveira Wadt, L.H., Panahi, P., Martínez Pastur, G., Patterson, T., Luis Peri, P., Piechnik, Ł., Pourhashemi, M., Espinoza Quezada, C., Roig, F.A., Peña Rojas, K., Micaela Rosas, Y., Schueler, S., Seget, B., Soler, R., Steele, M.A., Toro-Manríquez, M., Tutin, C.E.G., Ukizintambara, T., White, L., Yadok, B., Willis, J.L., Zolles, A., Żywiec, M., and Ascoli, D.

Abstract

Significant gaps remain in understanding the response of plant reproduction to environmental change. This is partly because measuring reproduction in long-lived plants requires direct observation over many years and such datasets have rarely been made publicly available. Here we introduce MASTREE+, a data set that collates reproductive time-series data from across the globe and makes these data freely available to the community. MASTREE+ includes 73,828 georeferenced observations of annual reproduction (e.g. seed and fruit counts) in perennial plant populations worldwide. These observations consist of 5971 population-level time-series from 974 species in 66 countries. The mean and median time-series length is 12.4 and 10 years respectively, and the data set includes 1122 series that extend over at least two decades (≥20 years of observations). For a subset of well-studied species, MASTREE+ includes extensive replication of time-series across geographical and climatic gradients. Here we describe the open-access data set, available as a.csv file, and we introduce an associated web-based app for data exploration. MASTREE+ will provide the basis for improved understanding of the response of long-lived plant reproduction to environmental change. Additionally, MASTREE+ will enable investigation of the ecology and evolution of reproductive strategies in perennial plants, and the role of plant reproduction as a driver of ecosystem dynamics.

Published
2022

22. Handbook of sampling for multi-taxon biodiversity studies in European forests

Author

Burrascano, S., Trentanovi, G., Paillet, Y., Heilmann-Clausen, J., Giordani, P., Bagella, S., Campagnaro, T., Campanaro, A., Chianucci, F., De Smedt, P., García-Mijangos, I., Matošević, D., Sitzia, T., Doerfler, I., Hofmeister, J., Kepfer-Rojas, S., Lõhmus, A., Munzi, S., Runnel, K., Tinya, F., Vandekerkhove, K., Theo van der Sluis, T., Ódor, P. Balducci L., Bravo-Oviedo, A., Aszalós, R., Brazaitis, G., Cutini, A., D’Andrea, E., Hošek, J., Janssen, P., Korboulewsky, N., Kozák, D., Lachat, T., Lopez, R., Mårell, A., Matula, R., Mikoláš, M., Nordén, B., Popov, S., Pärtel, M., Penner, J., Schall, P., Svoboda, M., Ujházyová, M., Verheyen, K., and Xystrakis, F.

Published
2022

29. TRY plant trait database enhanced coverage and open access

Author

Kattge, J., Bönisch, G., Díaz, S., Lavorel, S., Prentice, I.C., Leadley, P., Tautenhahn, S., Werner, G.D.A., Aakala, T., Abedi, M., Acosta, A.T.R., Adamidis, G.C., Adamson, K., Aiba, M., Albert, C.H., Alcántara, J.M., Alcázar, C, C., Aleixo, I., Ali, H., Amiaud, B., Ammer, C., Amoroso, M.M., Anand, M., Anderson, C., Anten, N., Antos, J., Apgaua, D.M.G., Ashman, T.-L., Asmara, D.H., Asner, G.P., Aspinwall, M., Atkin, O., Aubin, I., Baastrup-Spohr, L., Bahalkeh, K., Bahn, M., Baker, T., Baker, W.J., Bakker, J.P., Baldocchi, D., Baltzer, J., Banerjee, A., Baranger, A., Barlow, J., Barneche, D.R., Baruch, Z., Bastianelli, D., Battles, J., Bauerle, W., Bauters, M., Bazzato, E., Beckmann, M., Beeckman, H., Beierkuhnlein, C., Bekker, R., Belfry, G., Belluau, M., Beloiu, M., Benavides, R., Benomar, L., Berdugo-Lattke, M.L., Berenguer, E., Bergamin, R., Bergmann, J., Bergmann, Carlucci, M., Berner, L., Bernhardt-Römermann, M., Bigler, C., Bjorkman, A.D., Blackman, C., Blanco, C., Blonder, B., Blumenthal, D., Bocanegra-González, K.T., Boeckx, P., Bohlman, S., Böhning-Gaese, K., Boisvert-Marsh, L., Bond, W., Bond-Lamberty, B., Boom, A., Boonman, C.C.F., Bordin, K., Boughton, E.H., Boukili, V., Bowman, D.M.J.S., Bravo, S., Brendel, M.R., Broadley, M.R., Brown, K.A., Bruelheide, H., Brumnich, F., Bruun, H.H., Bruy, D., Buchanan, S.W., Bucher, S.F., Buchmann, N., Buitenwerf, R., Bunker, D.E., Bürger, J., Burrascano, Sabina, Burslem, D.F.R.P., Butterfield, B.J., Byun, C., Marques, M., Scalon, M.C., Caccianiga, M., Cadotte, M., Cailleret, M., Camac, J., Camarero, J.J., Campany, C., Campetella, G., Campos Prieto, Juan Antonio, Cano-Arboleda, L., Canullo, R., Carbognani, M., Carvalho, F., Casanoves, F., Castagneyrol, B., Catford, J.A., Cavender-Bares, J., Cerabolini, Bruno E. L., Cervellini, M., Chacón-Madrigal, E., Chapin, K., Chapin, F.S., Chelli, S., Chen, S.-C., Chen, A., Cherubini, P., Chianucci, F., Choat, B., Chung, K.-S., Chytrý, Milan, Ciccarelli, D., Coll, L., Collins, C.G., Conti, L., Coomes, D., Cornelissen, J.H.C., Cornwell, W.K., Corona, P., Coyea, M., Craine, J., Craven, D., Cromsigt, J.P.G.M., Csecserits, A., Cufar, K., Cuntz, M., and da, Silva, A.C

Abstract

Plant traits the morphological, anatomical, physiological, biochemical and phenological characteristics of plants determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits almost complete coverage for plant growth form . However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives. © 2019 The Authors. Global Change Biology published by John Wiley and Sons Ltd

Published
2020

34. Integrated forest management to prevent wildfires under Mediterranean environments

Author

Corona, P., Ascoli, D., Barbati, A., Bovio, G., Colangelo, G., Elia, M., Garfì, V., Iovino, F., Lafortezza, R., Leone, V., Lovreglio, R., Marchetti, M., Marchi, Enrico, Menguzzato, G., Nocentini, Susanna, Picchio, R., Portoghesi, L., Puletti, N., Sanesi, G., and Chianucci, F.

Subjects
lcsh:Agriculture, wildfire prevention, forest fuel management, Wildfi re prevention, wildland-urban interface, prescribed burning, Wildfire prevention, Forest fuel management, Wildland-Urban Interface, Prescribed burning, lcsh:S
Abstract

This review presents a multidisciplinary framework for integrating the ecological, regulatory, procedural and technical aspects of forest management for fires prevention under Mediterranean environments. The aims are to: i) provide a foreground of wildfire scenario; ii) illustrate the theoretical background of forest fuel management; iii) describe the available fuel management techniques and mechanical operations for fire prevention in forest and wildland-urban interfaces, with exemplification of case-studies; iv) allocate fire prevention activities under the hierarchy of forest planning. The review is conceived as an outline commentary discussion targeted to professionals, technicians and government personnel involved in forestry and environmental management.

Published
2015

35. A deep learning approachfor automatic mapping of poplar plantations using Sentinel-2 imagery

Author

D’Amico, G., Francini, S., Giannetti, F., Vangi, E., Travaglini, D., Chianucci, F., Mattioli, W., Grotti, M., Puletti, N., Corona, P., and Chirici, G.

Abstract

ABSTRACTPoplars are one of the most widespread fast-growing tree species used for forest plantations. Owing to their distinct features (fast growth and short rotation) and the dependency on the timber price market, poplar plantations are characterized by large inter-annual fluctuations in their extent and distribution. Therefore, monitoring poplar plantations requires a frequent update of information – not feasible by National Forest Inventories due to their periodicity – achievable by remote sensing systems applications. In particular, the new Sentinel-2 mission, with a revisiting period of 5 days, represents a potentially efficient tool for meeting this need.In this paper, we present a deep learning approach for mapping poplar plantations using Sentinel-2 time series. A reference dataset of poplar plantations was available for a large study area of more than 46,000 km2in Northern Italy and served as training and testing data. Two classification methods were compared: (1) a fully connected neural network (also called multilayer perceptron), and (2) a traditional logistic regression. The performance of the two approaches was estimated through bootstrapping procedure with a confidence interval of 99%. Results indicated for deep learning an omission error rate of 2.77%±2.76%, showing improvements compared to logistic regression, omission error rate = 8.91%±4.79%.

Published
2021
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37. Generalized biomass equations for Stone pine (Pinus pinea L.) across the Mediterranean basin

Author

Ruiz-Peinado, Ricardo [0000-0003-0126-1651], Correia, Angela, Faias, S. P., Ruiz-Peinado, Ricardo, Chianucci, F., Cutini, A., Fontes, Luis, Manetti, M. C., Montero, G., Soares, P., Tomé, Margarida, Ruiz-Peinado, Ricardo [0000-0003-0126-1651], Correia, Angela, Faias, S. P., Ruiz-Peinado, Ricardo, Chianucci, F., Cutini, A., Fontes, Luis, Manetti, M. C., Montero, G., Soares, P., and Tomé, Margarida

Abstract

Accurate estimates of tree biomass are strongly required for forest carbon budget estimates and to understand ecosystem dynamics for a sustainable management. Existing biomass equations for Mediterranean species are scarce, stand- and site-specific and therefore are not suitable for large scale application. In this study, biomass allometric equations were developed for stone pine (Pinus pinea L.), a Mediterranean tree species with relevant ecologic and economic interest. A dataset of 283 harvested trees was compiled with above- and belowground biomass from 16 sites in three countries (Italy, Spain, Portugal) representative of the species’ geographical Mediterranean distribution. A preliminary approach comparing the ordinary least squares method and the mixed model approach was performed in order to evaluate the most appropriate method for nested data in the absence of calibration data. To quantify the sources of error associated with applying biomass equations beyond the geographical range of the data used to develop them, a residual analysis was conducted. The allometric analysis showed low intra-specific variability in aboveground biomass relationships, which was relatively insensitive to the stand and site conditions. Significant differences were found for the crown components (needles and branches), which may be attributed to local geographical adaptation, site conditions and stand management. The root biomass was highly correlated with diameter at breast height irrespective of the geographical origin. Biased estimates were found when using site-specific equations outside the geographical range from where they were developed. The new biomass equations improved the accuracy of biomass estimates, particularly for the aboveground components of higher dimension trees and for the root component, being highly suitable for use in regional and national biomass forest calculations. It is, up to the present, the most complete database of harvested stone pine trees worldwi

Published
2018

38. Long-term response to thinning in a beech (Fagus sylvatica L.) coppice stand under conversion to high forest in Central Italy

Author

Chianucci, F, Salvati, L, Giannini, T, Chiavetta, U, Corona, P, and Cutini, A

Subjects
Plant Canopy Analyzer, leaf area index, Settore SECS-S/03 - Statistica Economica, coppice management, continuous cover forestry, thinning, Forestry, SD1-669.5
Abstract

European beech (L.) forests have a long history of coppicing, but the majority of formerly managed coppices are currently under conversion to high forest. The long time required to achieve conversion requires a long-term perspective to fully understand the implication of the applied conversion practices. In this study, we showed results from a long-term (1992â2014) case-study comparing two management options (natural evolution andperiodic thinning) in a beech coppice in conversion to high forest. Leaf area index, litter production, radiation transmittance and growth efficiency taken as relevant stand descriptors, were estimated using both direct and indirect optical methods. Overall, results indicated that beech coppice showed positive and prompt responses to active conversion practices based on periodic medium-heavy thinning. A growth efficiency index showed that tree growth increased as the cutting intensity increased. Results from the case study supported the effectiveness of active conversion management from an economic (timber harvesting) and ecological (higher growth efficiency) point of view.Fagus sylvatica

Published
2016

39. Reproductive phenology and conception synchrony in a natural wild boar population.

Author

CANU, A., SCANDURA, M., MERLI, E., CHIRICHELLA, R., BOTTERO, E., CHIANUCCI, F., CUTINI, A., and APOLLONIO, M.

Subjects
ANIMAL populations, WILD boar, PHENOLOGY, CONCEPTION, FERTILIZATION (Biology)
Abstract

Reproductive synchrony among gregarious mammals has a strong adaptive value and may lead to cooperative behaviors aimed at maximizing offspring survival. Additionally, temporal clustering of estrus has important implications on individual mating tactics and ultimately affects the degree of polygamy in a population. Although several studies have examined the reproductive biology of wild boar (Sus scrofa), much remains to be understood about the patterns of timing and synchrony of reproduction in natural populations. We analyzed the spatiotemporal distribution of conception dates in an Italian wild boar population taking into account the effects of environmental and individual factors, in order to determine the main variables influencing the timing of reproduction and to detect the signs of a socially-driven reproductive synchrony. Specifically, for each litter belonging to 354 pregnant sows culled between 2006 and 2013 in a mountain area of Tuscany, we determined the conception date (CD) from an estimate of the mean fetal age and the culling date. We then investigated which factors drove the variation in CD, by implementing linear mixed models, Mantel tests and spatial autocorrelation analyses. The selected model showed significant effects of rainfall, temperatures, and previous and current productivity on CD, as well as a strong correlation of CDs among sows culled in close spatial and temporal proximity (i.e., in the same hunting ground and hunting season). Likewise, autocorrelation analyses and Mantel tests consistently indicated that closer sows had similar conception dates. Overall, our results confirm the effect of resource availability and climate on wild boar reproductive phenology, and suggest socially-driven reproductive patterns, in spite of a high turn-over in social groups due to hunting. Finally, possible advantages and evolutionary implications of reproductive synchrony in wild boar are discussed. [ABSTRACT FROM AUTHOR]

Published
2015
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40. THz water transmittance and leaf surface area: An effective nondestructive method for determining leaf water content

Author

Luca Masini, Alessandro Tredicucci, Alessandra Toncelli, Paolo Storchi, Andrea Ottomaniello, Francesco Chianucci, Mario Pagano, Giorgio Carelli, Giovanbattista de Dato, Lorenzo Baldacci, Piermaria Corona, Pagano, M., Baldacci, L., Ottomaniello, A., Dato, G. D., Chianucci, F., Masini, L., Carelli, G., Toncelli, A., Storchi, P., Tredicucci, A., and Corona, P.

Subjects
0106 biological sciences, Limiting factor, Terahertz radiation, Terahertz, quantum cascade laser, Quercus suber, lcsh:Chemical technology, drought stress, leaves, plants, terahertz quantum cascade laser, water content, 01 natural sciences, Biochemistry, Article, Analytical Chemistry, Settore FIS/03 - Fisica della Materia, 03 medical and health sciences, Laurus nobilis, food, Optical depth (astrophysics), Transmittance, lcsh:TP1-1185, Electrical and Electronic Engineering, Instrumentation, Water content, 030304 developmental biology, 0303 health sciences, Leave, biology, Water, Plant, Drought stress, Leaves, Plants, biology.organism_classification, Atomic and Molecular Physics, and Optics, food.food, Droughts, Plant Leaves, Horticulture, Ostrya carpinifolia, Environmental science, Drought stre, 010606 plant biology & botany
Abstract

Water availability is a major limiting factor in plant productivity and plays a key role in plant species distribution over a given area. New technologies, such as terahertz quantum cascade lasers (THz-QCLs) have proven to be non-invasive, effective, and accurate tools for measuring and monitoring leaf water content. This study explores the feasibility of using an advanced THz-QCL device for measuring the absolute leaf water content in Corylus avellana L., Laurus nobilis L., Ostrya carpinifolia Scop., Quercus ilex L., Quercus suber L., and Vitis vinifera L. (cv. Sangiovese). A recently proposed, simple spectroscopic technique was used, consisting in determining the transmission of the THz light beam through the leaf combined with a photographic measurement of the leaf area. A significant correlation was found between the product of the leaf optical depth (&tau, ) and the leaf surface area (LA) with the leaf water mass (Mw) for all the studied species (Pearson&rsquo, s r test, p &le, 0.05). In all cases, the best fit regression line, in the graphs of &tau, LA as a function of Mw, displayed R2 values always greater than 0.85. The method proposed can be combined with water stress indices of plants in order to gain a better understanding of the leaf water management processes or to indirectly monitor the kinetics of leaf invasion by pathogenic bacteria, possibly leading to the development of specific models to study and fight them.

Published
2019
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41. L’uso tradizionale del legno in Sicilia

Author

Sala G, Fares, S, Alivernin,i A, Chianucci, F, Ferrara, C, Marchi, M, Sallustio, L, Bucci, G, and Sala G

Subjects
Legno, manufati, utilizzazioni forestali, usi tradizionali
Abstract

Fin dall’antichità, il legno è stato utilizzato per produrre oltre che energia, materiale per la costruzione di edifici e di oggeti che servivano per la vita quotidiana. Ma il legno è stato utilizzato anche come materia prima per la scultura e per i manufati artistici. Anche in Sicilia sono numerosi gli edifici storici (o parti di esso) in legno, mez - zi di trasporto (carri o navi), opere d’arte dipinte su legno, sculture religiose e strumenti musicali che sono arrivati ai giorni nostri e che dimostrano le abilità e la padronanza di tecniche nelle civiltà del passato. Indubbiamente il legno era nella cultura rurale una risorsa essenziale ed un capitale per l’economia dei piccoli laboratori artigianali dove venivano costruiti la maggior parte degli oggeti quotidiani. Tutavia, in tuti i testi che fanno riferimento all’utilizzazione del legno in Italia come legno da opera non si fa quasi mai riferimento alla Sicilia mentre la stessa viene citata per la povertà delle foreste. Invece la Sicilia vanta una lunga tradizione nell’utilizzazione del legno come dimostra una vasta e, sino ad oggi, in parte inesplorata leteratura. Lo scopo del presente studio è stato quello di dimostrare come l’uso del legno in Sicilia fosse difuso e di come chi operava con il legno avesse una profonda conoscenza delle carateristiche di questa risorsa. La ricerca si è svolta atraverso l’analisi della leteratura e con indagini di campo efetuando interviste ad anziani artigiani. La ricerca bibliografica, vista l’assoluta assenza di riferimenti nei testi di tecnologia del legno e di selvicoltura italiani e siciliani, si è basata su testi di antropologia, storia e etnologia. I dati confermano che l’uso del legno ha una lunga tradizione in Sicilia e che sono moltissime le specie di alberi sia forestali che da fruto (ad es. abete dei Nebrodi, faggio, leccio, olivo, mandorlo, noce, bagolaro, etc.) che sono state utilizzate come materia prima per una vasta gamma di scopi. Mentre gli usi tradizionali non sono in alcuni casi totalmente spariti, altri appaiono in forte rivalutazione, si pensi ad esempio all’utilizzo del legno nelle costruzioni. Altri definibili “moderni” come la realizzazione dei parquet apre nuove prospetive. Qesti nuovi setori rappresentano delle opportunità per il setore agroforestale, con la possibilità di utilizzare specie come l’ulivo per le quali è in ato una opera di selezione di varietà prometenti per l’arboricoltura da legno. L’integrazione tra agricoltura e utilizzazione del legno apre infati nuove ed interessanti prospetive.

Published
2017

42. L’utilizzo di specie alloctone invasive per la produzione di legno: rischio o opportunità?

Author

Badalamenti, E., Fares, S, Alivernini, A, Chianucci, F, Ferrara, C, Marchi, M, Sallustio, L, Bucci, G, and Badalamenti, E

Subjects
Settore AGR/05 - Assestamento Forestale E Selvicoltura, Specie invasive, Arboricoltura da legno, Ailanto, gestione forestale
Abstract

L’arboricoltura da legno, così come l’attività di rimboschimento propriamente detta, ha da sempre fatto ricorso anche a specie estranee alla flora locale, che si sono spesso rivelate particolarmente adatte a questo scopo. Tali scelte sono state principalmente legate alla notevole rapidità di crescita iniziale di alcune specie alloctone rispetto a quelle autoctone, e quindi alla possibilità di ottenere un’elevata produzione legnosa in tempi brevi, carattere fondamentale soprattutto nel caso di impianti realizzati a fini energetici. Tuttavia, in conseguenza della mancata valutazione dell’effettiva idoneità ecologica delle aree di impianto, spesso gli impianti non hanno raggiunto livelli produttivi soddisfacenti. Altre specie potrebbero essere utilizzate con successo per fini produttivi, ma è necessario considerare in modo idoneo rischi ed opportunità del loro impiego. In particolare, sono in corso prove sperimentali sul possibile utilizzo dell’ailanto (Ailanthus altissima (Mill.) Swingle) e della leucena (Leucaena leucocephala (Lam.) de Wit). È stata valutata la produttività di queste specie e sono al contempo in corso di valutazione idonee tecniche per il loro controllo; i risultati appaiono incoraggianti. Data la capacità di queste specie di crescere in ambienti che, riduttivamente, si possono considerare marginali perché spesso degradati e difficilmente destinabili ad altre specie o altro tipo di produzioni, in tali contesti il loro utilizzo potrebbe rappresentare un’opportunità. Inoltre, in aree di non particolare interesse ambientale e paesaggistico, e dove l’eliminazione dell’ailanto appare tecnicamente ed economicamente insostenibile, il contenimento di una sua ulteriore diffusione attraverso un uso produttivo della biomassa legnosa potrebbe costituire una valida alternativa gestionale.

Published
2017

43. È possibile tracciare un bilancio sull’eucalitticoltura in Sicilia e sulle sue prospettive?

Author

MAETZKE, Federico Guglielmo, LA MELA VECA, Donato Salvatore, Sferlazza, Sebastiano, BADALAMENTI, Emilio, Mughini, G., LA MANTIA, Tommaso, Fares, S, Alivernini, A, Ferrara, C, Marchi, M, Sallustio, L, Chianucci, F, Bucci, G, Maetzke, F.G., La Mela Veca, D.S., Sferlazza, S., Badalamenti, E., Mughini, G., and La Mantia, T.

Subjects
Eucalyptus spp, arboricoltura da legno, bioenergia, eucaliticoltura, Settore AGR/05 - Assestamento Forestale E Selvicoltura
Abstract

La storia dell’eucalitticoltura in Sicilia è ormai una storia di mezzo secolo. La diffusione dell’eucalitticoltura in Sicilia e nelle regioni meridionali in genere ha corrisposto alla diffusione di un modello nuovo per queste realtà. Diversi errori sono stati compiuti soprattutto con riferimento alle scelte tecniche compiute a posteriori (scelta delle stazioni, assenza di cure colturali, utilizzazioni improprie). Un rinnovato interesse per questi popolamenti è derivato dalle opportunità offerte per l’utilizzazione energetica. Tuttavia anche questo approccio mostra i suoi limiti legati alla necessità di ricorrere a grossi volumi di legname e ad un utilizzo delle risorse legnose forestali siciliane non sostenibile nel lungo periodo. Se si precisa sempre più l’ambito ottimale per le diverse specie di eucalitto, nel contempo si evidenziano alcuni errori compiuti ai quali si potrebbe rimediare ad esempio attraverso l’utilizzo di materiale di moltiplicazione idoneo sia in termini di identità genetica nonché di qualità del materiale stesso.

Published
2017

44. Evolutionary ecology of masting: mechanisms, models, and climate change.

Author

Bogdziewicz M, Kelly D, Ascoli D, Caignard T, Chianucci F, Crone EE, Fleurot E, Foest JJ, Gratzer G, Hagiwara T, Han Q, Journé V, Keurinck L, Kondrat K, McClory R, LaMontagne JM, Mundo IA, Nussbaumer A, Oberklammer I, Ohno M, Pearse IS, Pesendorfer MB, Resente G, Satake A, Shibata M, Snell RS, Szymkowiak J, Touzot L, Zwolak R, Zywiec M, and Hacket-Pain AJ

Subjects
Reproduction physiology, Animals, Climate Change, Biological Evolution, Models, Biological
Abstract

Many perennial plants show mast seeding, characterized by synchronous and highly variable reproduction across years. We propose a general model of masting, integrating proximate factors (environmental variation, weather cues, and resource budgets) with ultimate drivers (predator satiation and pollination efficiency). This general model shows how the relationships between masting and weather shape the diverse responses of species to climate warming, ranging from no change to lower interannual variation or reproductive failure. The role of environmental prediction as a masting driver is being reassessed; future studies need to estimate prediction accuracy and the benefits acquired. Since reproduction is central to plant adaptation to climate change, understanding how masting adapts to shifting environmental conditions is now a central question., Competing Interests: Declaration of interests No competing interests to declare., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Published
2024
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45. The Relationship Between Maturation Size and Maximum Tree Size From Tropical to Boreal Climates.

Author

Journé V, Bogdziewicz M, Courbaud B, Kunstler G, Qiu T, Acuña MA, Ascoli D, Bergeron Y, Berveiller D, Boivin T, Bonal R, Caignard T, Cailleret M, Calama R, Camarero JJ, Chang-Yang CH, Chave J, Chianucci F, Curt T, Cutini A, Das A, Daskalakou E, Davi H, Delpierre N, Delzon S, Dietze M, Calderon SD, Dormont L, Espelta JM, Farfan-Rios W, Fenner M, Franklin J, Gehring C, Gilbert G, Gratzer G, Greenberg CH, Guignabert A, Guo Q, Hacket-Pain A, Hampe A, Han Q, Hanley ME, Lambers JHR, Holík J, Hoshizaki K, Ibanez I, Johnstone JF, Knops JMH, Kobe RK, Kurokawa H, Lageard J, LaMontagne J, Ledwon M, Lefèvre F, Leininger T, Limousin JM, Lutz J, Macias D, Mårell A, McIntire E, Moran EV, Motta R, Myers J, Nagel TA, Naoe S, Noguchi M, Norghauer J, Oguro M, Ourcival JM, Parmenter R, Pearse I, Pérez-Ramos IM, Piechnik Ł, Podgórski T, Poulsen J, Redmond MD, Reid CD, Samonil P, Scher CL, Schlesinger WH, Seget B, Sharma S, Shibata M, Silman M, Steele M, Stephenson N, Straub J, Sutton S, Swenson JJ, Swift M, Thomas PA, Uriarte M, Vacchiano G, Whipple A, Whitham T, Wright SJ, Zhu K, Zimmerman J, Żywiec M, and Clark JS

Subjects
Climate Change, Reproduction, Forests, Trees growth & development, Tropical Climate
Abstract

The fundamental trade-off between current and future reproduction has long been considered to result in a tendency for species that can grow large to begin reproduction at a larger size. Due to the prolonged time required to reach maturity, estimates of tree maturation size remain very rare and we lack a global view on the generality and the shape of this trade-off. Using seed production from five continents, we estimate tree maturation sizes for 486 tree species spanning tropical to boreal climates. Results show that a species' maturation size increases with maximum size, but in a non-proportional way: the largest species begin reproduction at smaller sizes than would be expected if maturation were simply proportional to maximum size. Furthermore, the decrease in relative maturation size is steepest in cold climates. These findings on maturation size drivers are key to accurately represent forests' responses to disturbance and climate change., (© 2024 John Wiley & Sons Ltd.)

Published
2024
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46. Widespread breakdown in masting in European beech due to rising summer temperatures.

Author

Foest JJ, Bogdziewicz M, Pesendorfer MB, Ascoli D, Cutini A, Nussbaumer A, Verstraeten A, Beudert B, Chianucci F, Mezzavilla F, Gratzer G, Kunstler G, Meesenburg H, Wagner M, Mund M, Cools N, Vacek S, Schmidt W, Vacek Z, and Hacket-Pain A

Subjects
Europe, Seeds growth & development, Seeds physiology, Reproduction, Trees growth & development, Trees physiology, Pollination, Fagus growth & development, Fagus physiology, Seasons, Climate Change, Temperature
Abstract

Climate change effects on tree reproduction are poorly understood, even though the resilience of populations relies on sufficient regeneration to balance increasing rates of mortality. Forest-forming tree species often mast, i.e. reproduce through synchronised year-to-year variation in seed production, which improves pollination and reduces seed predation. Recent observations in European beech show, however, that current climate change can dampen interannual variation and synchrony of seed production and that this masting breakdown drastically reduces the viability of seed crops. Importantly, it is unclear under which conditions masting breakdown occurs and how widespread breakdown is in this pan-European species. Here, we analysed 50 long-term datasets of population-level seed production, sampled across the distribution of European beech, and identified increasing summer temperatures as the general driver of masting breakdown. Specifically, increases in site-specific mean maximum temperatures during June and July were observed across most of the species range, while the interannual variability of population-level seed production (CVp) decreased. The declines in CVp were greatest, where temperatures increased most rapidly. Additionally, the occurrence of crop failures and low seed years has decreased during the last four decades, signalling altered starvation effects of masting on seed predators. Notably, CVp did not vary among sites according to site mean summer temperature. Instead, masting breakdown occurs in response to warming local temperatures (i.e. increasing relative temperatures), such that the risk is not restricted to populations growing in warm average conditions. As lowered CVp can reduce viable seed production despite the overall increase in seed count, our results warn that a covert mechanism is underway that may hinder the regeneration potential of European beech under climate change, with great potential to alter forest functioning and community dynamics., (© 2024 The Authors. Global Change Biology published by John Wiley & Sons Ltd.)

Published
2024
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47. Masting is uncommon in trees that depend on mutualist dispersers in the context of global climate and fertility gradients.

Author

Qiu T, Aravena MC, Ascoli D, Bergeron Y, Bogdziewicz M, Boivin T, Bonal R, Caignard T, Cailleret M, Calama R, Calderon SD, Camarero JJ, Chang-Yang CH, Chave J, Chianucci F, Courbaud B, Cutini A, Das AJ, Delpierre N, Delzon S, Dietze M, Dormont L, Espelta JM, Fahey TJ, Farfan-Rios W, Franklin JF, Gehring CA, Gilbert GS, Gratzer G, Greenberg CH, Guignabert A, Guo Q, Hacket-Pain A, Hampe A, Han Q, Holik J, Hoshizaki K, Ibanez I, Johnstone JF, Journé V, Kitzberger T, Knops JMH, Kunstler G, Kurokawa H, Lageard JGA, LaMontagne JM, Lefevre F, Leininger T, Limousin JM, Lutz JA, Macias D, Marell A, McIntire EJB, Moore CM, Moran E, Motta R, Myers JA, Nagel TA, Naoe S, Noguchi M, Oguro M, Parmenter R, Pearse IS, Perez-Ramos IM, Piechnik L, Podgorski T, Poulsen J, Redmond MD, Reid CD, Rodman KC, Rodriguez-Sanchez F, Samonil P, Sanguinetti JD, Scher CL, Seget B, Sharma S, Shibata M, Silman M, Steele MA, Stephenson NL, Straub JN, Sutton S, Swenson JJ, Swift M, Thomas PA, Uriarte M, Vacchiano G, Whipple AV, Whitham TG, Wion AP, Wright SJ, Zhu K, Zimmerman JK, Zywiec M, and Clark JS

Subjects
Fertility, Seeds, Satiation, Trees, Reproduction
Abstract

The benefits of masting (volatile, quasi-synchronous seed production at lagged intervals) include satiation of seed predators, but these benefits come with a cost to mutualist pollen and seed dispersers. If the evolution of masting represents a balance between these benefits and costs, we expect mast avoidance in species that are heavily reliant on mutualist dispersers. These effects play out in the context of variable climate and site fertility among species that vary widely in nutrient demand. Meta-analyses of published data have focused on variation at the population scale, thus omitting periodicity within trees and synchronicity between trees. From raw data on 12 million tree-years worldwide, we quantified three components of masting that have not previously been analysed together: (i) volatility, defined as the frequency-weighted year-to-year variation; (ii) periodicity, representing the lag between high-seed years; and (iii) synchronicity, indicating the tree-to-tree correlation. Results show that mast avoidance (low volatility and low synchronicity) by species dependent on mutualist dispersers explains more variation than any other effect. Nutrient-demanding species have low volatility, and species that are most common on nutrient-rich and warm/wet sites exhibit short periods. The prevalence of masting in cold/dry sites coincides with climatic conditions where dependence on vertebrate dispersers is less common than in the wet tropics. Mutualist dispersers neutralize the benefits of masting for predator satiation, further balancing the effects of climate, site fertility and nutrient demands., (© 2023. The Author(s), under exclusive licence to Springer Nature Limited.)

Published
2023
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48. MASTREE+: Time-series of plant reproductive effort from six continents.

Author

Hacket-Pain A, Foest JJ, Pearse IS, LaMontagne JM, Koenig WD, Vacchiano G, Bogdziewicz M, Caignard T, Celebias P, van Dormolen J, Fernández-Martínez M, Moris JV, Palaghianu C, Pesendorfer M, Satake A, Schermer E, Tanentzap AJ, Thomas PA, Vecchio D, Wion AP, Wohlgemuth T, Xue T, Abernethy K, Aravena Acuña MC, Daniel Barrera M, Barton JH, Boutin S, Bush ER, Donoso Calderón S, Carevic FS, de Castilho CV, Manuel Cellini J, Chapman CA, Chapman H, Chianucci F, da Costa P, Croisé L, Cutini A, Dantzer B, Justin DeRose R, Dikangadissi JT, Dimoto E, da Fonseca FL, Gallo L, Gratzer G, Greene DF, Hadad MA, Herrera AH, Jeffery KJ, Johnstone JF, Kalbitzer U, Kantorowicz W, Klimas CA, Lageard JGA, Lane J, Lapin K, Ledwoń M, Leeper AC, Vanessa Lencinas M, Lira-Guedes AC, Lordon MC, Marchelli P, Marino S, Schmidt Van Marle H, McAdam AG, Momont LRW, Nicolas M, de Oliveira Wadt LH, Panahi P, Martínez Pastur G, Patterson T, Luis Peri P, Piechnik Ł, Pourhashemi M, Espinoza Quezada C, Roig FA, Peña Rojas K, Micaela Rosas Y, Schueler S, Seget B, Soler R, Steele MA, Toro-Manríquez M, Tutin CEG, Ukizintambara T, White L, Yadok B, Willis JL, Zolles A, Żywiec M, and Ascoli D

Subjects
Ecology, Plants, Seeds physiology, Ecosystem, Reproduction
Abstract

Significant gaps remain in understanding the response of plant reproduction to environmental change. This is partly because measuring reproduction in long-lived plants requires direct observation over many years and such datasets have rarely been made publicly available. Here we introduce MASTREE+, a data set that collates reproductive time-series data from across the globe and makes these data freely available to the community. MASTREE+ includes 73,828 georeferenced observations of annual reproduction (e.g. seed and fruit counts) in perennial plant populations worldwide. These observations consist of 5971 population-level time-series from 974 species in 66 countries. The mean and median time-series length is 12.4 and 10 years respectively, and the data set includes 1122 series that extend over at least two decades (≥20 years of observations). For a subset of well-studied species, MASTREE+ includes extensive replication of time-series across geographical and climatic gradients. Here we describe the open-access data set, available as a.csv file, and we introduce an associated web-based app for data exploration. MASTREE+ will provide the basis for improved understanding of the response of long-lived plant reproduction to environmental change. Additionally, MASTREE+ will enable investigation of the ecology and evolution of reproductive strategies in perennial plants, and the role of plant reproduction as a driver of ecosystem dynamics., (© 2022 The Authors. Global Change Biology published by John Wiley & Sons Ltd.)

Published
2022
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49. Testing Removal of Carbon Dioxide, Ozone, and Atmospheric Particles by Urban Parks in Italy.

Author

Fares S, Conte A, Alivernini A, Chianucci F, Grotti M, Zappitelli I, Petrella F, and Corona P

Subjects
Carbon Dioxide, Cities, Ecosystem, Italy, Parks, Recreational, Trees, Air Pollutants analysis, Ozone
Abstract

Cities are responsible for more than 80% of global greenhouse gas emissions. Sequestration of air pollutants is one of the main ecosystem services that urban forests provide to the citizens. The atmospheric concentration of several pollutants such as carbon dioxide (CO 2 ), tropospheric ozone (O 3 ), and particulate matter (PM) can be reduced by urban trees through processes of adsorption and deposition. We predict the quantity of CO 2 , O 3 , and PM removed by urban tree species with the multilayer canopy model AIRTREE in two representative urban parks in Italy: Park of Castel di Guido, a 3673 ha reforested area located northwest of Rome, and Park of Valentino, a 42 ha urban park in downtown Turin. We estimated a total annual removal of 1005 and 500 kg of carbon per hectare, 8.1 and 1.42 kg of ozone per hectare, and 8.4 and 8 kg of PM 10 per hectare. We highlighted differences in pollutant sequestration between urban areas and between species, shedding light on the importance to perform extensive in situ measurements and modeling analysis of tree characteristics to provide realistic estimates of urban parks to deliver ecosystem services.

Published
2020
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50. TRY plant trait database - enhanced coverage and open access.

Author

Kattge J, Bönisch G, Díaz S, Lavorel S, Prentice IC, Leadley P, Tautenhahn S, Werner GDA, Aakala T, Abedi M, Acosta ATR, Adamidis GC, Adamson K, Aiba M, Albert CH, Alcántara JM, Alcázar C C, Aleixo I, Ali H, Amiaud B, Ammer C, Amoroso MM, Anand M, Anderson C, Anten N, Antos J, Apgaua DMG, Ashman TL, Asmara DH, Asner GP, Aspinwall M, Atkin O, Aubin I, Baastrup-Spohr L, Bahalkeh K, Bahn M, Baker T, Baker WJ, Bakker JP, Baldocchi D, Baltzer J, Banerjee A, Baranger A, Barlow J, Barneche DR, Baruch Z, Bastianelli D, Battles J, Bauerle W, Bauters M, Bazzato E, Beckmann M, Beeckman H, Beierkuhnlein C, Bekker R, Belfry G, Belluau M, Beloiu M, Benavides R, Benomar L, Berdugo-Lattke ML, Berenguer E, Bergamin R, Bergmann J, Bergmann Carlucci M, Berner L, Bernhardt-Römermann M, Bigler C, Bjorkman AD, Blackman C, Blanco C, Blonder B, Blumenthal D, Bocanegra-González KT, Boeckx P, Bohlman S, Böhning-Gaese K, Boisvert-Marsh L, Bond W, Bond-Lamberty B, Boom A, Boonman CCF, Bordin K, Boughton EH, Boukili V, Bowman DMJS, Bravo S, Brendel MR, Broadley MR, Brown KA, Bruelheide H, Brumnich F, Bruun HH, Bruy D, Buchanan SW, Bucher SF, Buchmann N, Buitenwerf R, Bunker DE, Bürger J, Burrascano S, Burslem DFRP, Butterfield BJ, Byun C, Marques M, Scalon MC, Caccianiga M, Cadotte M, Cailleret M, Camac J, Camarero JJ, Campany C, Campetella G, Campos JA, Cano-Arboleda L, Canullo R, Carbognani M, Carvalho F, Casanoves F, Castagneyrol B, Catford JA, Cavender-Bares J, Cerabolini BEL, Cervellini M, Chacón-Madrigal E, Chapin K, Chapin FS, Chelli S, Chen SC, Chen A, Cherubini P, Chianucci F, Choat B, Chung KS, Chytrý M, Ciccarelli D, Coll L, Collins CG, Conti L, Coomes D, Cornelissen JHC, Cornwell WK, Corona P, Coyea M, Craine J, Craven D, Cromsigt JPGM, Csecserits A, Cufar K, Cuntz M, da Silva AC, Dahlin KM, Dainese M, Dalke I, Dalle Fratte M, Dang-Le AT, Danihelka J, Dannoura M, Dawson S, de Beer AJ, De Frutos A, De Long JR, Dechant B, Delagrange S, Delpierre N, Derroire G, Dias AS, Diaz-Toribio MH, Dimitrakopoulos PG, Dobrowolski M, Doktor D, Dřevojan P, Dong N, Dransfield J, Dressler S, Duarte L, Ducouret E, Dullinger S, Durka W, Duursma R, Dymova O, E-Vojtkó A, Eckstein RL, Ejtehadi H, Elser J, Emilio T, Engemann K, Erfanian MB, Erfmeier A, Esquivel-Muelbert A, Esser G, Estiarte M, Domingues TF, Fagan WF, Fagúndez J, Falster DS, Fan Y, Fang J, Farris E, Fazlioglu F, Feng Y, Fernandez-Mendez F, Ferrara C, Ferreira J, Fidelis A, Finegan B, Firn J, Flowers TJ, Flynn DFB, Fontana V, Forey E, Forgiarini C, François L, Frangipani M, Frank D, Frenette-Dussault C, Freschet GT, Fry EL, Fyllas NM, Mazzochini GG, Gachet S, Gallagher R, Ganade G, Ganga F, García-Palacios P, Gargaglione V, Garnier E, Garrido JL, de Gasper AL, Gea-Izquierdo G, Gibson D, Gillison AN, Giroldo A, Glasenhardt MC, Gleason S, Gliesch M, Goldberg E, Göldel B, Gonzalez-Akre E, Gonzalez-Andujar JL, González-Melo A, González-Robles A, Graae BJ, Granda E, Graves S, Green WA, Gregor T, Gross N, Guerin GR, Günther A, Gutiérrez AG, Haddock L, Haines A, Hall J, Hambuckers A, Han W, Harrison SP, Hattingh W, Hawes JE, He T, He P, Heberling JM, Helm A, Hempel S, Hentschel J, Hérault B, Hereş AM, Herz K, Heuertz M, Hickler T, Hietz P, Higuchi P, Hipp AL, Hirons A, Hock M, Hogan JA, Holl K, Honnay O, Hornstein D, Hou E, Hough-Snee N, Hovstad KA, Ichie T, Igić B, Illa E, Isaac M, Ishihara M, Ivanov L, Ivanova L, Iversen CM, Izquierdo J, Jackson RB, Jackson B, Jactel H, Jagodzinski AM, Jandt U, Jansen S, Jenkins T, Jentsch A, Jespersen JRP, Jiang GF, Johansen JL, Johnson D, Jokela EJ, Joly CA, Jordan GJ, Joseph GS, Junaedi D, Junker RR, Justes E, Kabzems R, Kane J, Kaplan Z, Kattenborn T, Kavelenova L, Kearsley E, Kempel A, Kenzo T, Kerkhoff A, Khalil MI, Kinlock NL, Kissling WD, Kitajima K, Kitzberger T, Kjøller R, Klein T, Kleyer M, Klimešová J, Klipel J, Kloeppel B, Klotz S, Knops JMH, Kohyama T, Koike F, Kollmann J, Komac B, Komatsu K, König C, Kraft NJB, Kramer K, Kreft H, Kühn I, Kumarathunge D, Kuppler J, Kurokawa H, Kurosawa Y, Kuyah S, Laclau JP, Lafleur B, Lallai E, Lamb E, Lamprecht A, Larkin DJ, Laughlin D, Le Bagousse-Pinguet Y, le Maire G, le Roux PC, le Roux E, Lee T, Lens F, Lewis SL, Lhotsky B, Li Y, Li X, Lichstein JW, Liebergesell M, Lim JY, Lin YS, Linares JC, Liu C, Liu D, Liu U, Livingstone S, Llusià J, Lohbeck M, López-García Á, Lopez-Gonzalez G, Lososová Z, Louault F, Lukács BA, Lukeš P, Luo Y, Lussu M, Ma S, Maciel Rabelo Pereira C, Mack M, Maire V, Mäkelä A, Mäkinen H, Malhado ACM, Mallik A, Manning P, Manzoni S, Marchetti Z, Marchino L, Marcilio-Silva V, Marcon E, Marignani M, Markesteijn L, Martin A, Martínez-Garza C, Martínez-Vilalta J, Mašková T, Mason K, Mason N, Massad TJ, Masse J, Mayrose I, McCarthy J, McCormack ML, McCulloh K, McFadden IR, McGill BJ, McPartland MY, Medeiros JS, Medlyn B, Meerts P, Mehrabi Z, Meir P, Melo FPL, Mencuccini M, Meredieu C, Messier J, Mészáros I, Metsaranta J, Michaletz ST, Michelaki C, Migalina S, Milla R, Miller JED, Minden V, Ming R, Mokany K, Moles AT, Molnár A 5th, Molofsky J, Molz M, Montgomery RA, Monty A, Moravcová L, Moreno-Martínez A, Moretti M, Mori AS, Mori S, Morris D, Morrison J, Mucina L, Mueller S, Muir CD, Müller SC, Munoz F, Myers-Smith IH, Myster RW, Nagano M, Naidu S, Narayanan A, Natesan B, Negoita L, Nelson AS, Neuschulz EL, Ni J, Niedrist G, Nieto J, Niinemets Ü, Nolan R, Nottebrock H, Nouvellon Y, Novakovskiy A, Nystuen KO, O'Grady A, O'Hara K, O'Reilly-Nugent A, Oakley S, Oberhuber W, Ohtsuka T, Oliveira R, Öllerer K, Olson ME, Onipchenko V, Onoda Y, Onstein RE, Ordonez JC, Osada N, Ostonen I, Ottaviani G, Otto S, Overbeck GE, Ozinga WA, Pahl AT, Paine CET, Pakeman RJ, Papageorgiou AC, Parfionova E, Pärtel M, Patacca M, Paula S, Paule J, Pauli H, Pausas JG, Peco B, Penuelas J, Perea A, Peri PL, Petisco-Souza AC, Petraglia A, Petritan AM, Phillips OL, Pierce S, Pillar VD, Pisek J, Pomogaybin A, Poorter H, Portsmuth A, Poschlod P, Potvin C, Pounds D, Powell AS, Power SA, Prinzing A, Puglielli G, Pyšek P, Raevel V, Rammig A, Ransijn J, Ray CA, Reich PB, Reichstein M, Reid DEB, Réjou-Méchain M, de Dios VR, Ribeiro S, Richardson S, Riibak K, Rillig MC, Riviera F, Robert EMR, Roberts S, Robroek B, Roddy A, Rodrigues AV, Rogers A, Rollinson E, Rolo V, Römermann C, Ronzhina D, Roscher C, Rosell JA, Rosenfield MF, Rossi C, Roy DB, Royer-Tardif S, Rüger N, Ruiz-Peinado R, Rumpf SB, Rusch GM, Ryo M, Sack L, Saldaña A, Salgado-Negret B, Salguero-Gomez R, Santa-Regina I, Santacruz-García AC, Santos J, Sardans J, Schamp B, Scherer-Lorenzen M, Schleuning M, Schmid B, Schmidt M, Schmitt S, Schneider JV, Schowanek SD, Schrader J, Schrodt F, Schuldt B, Schurr F, Selaya Garvizu G, Semchenko M, Seymour C, Sfair JC, Sharpe JM, Sheppard CS, Sheremetiev S, Shiodera S, Shipley B, Shovon TA, Siebenkäs A, Sierra C, Silva V, Silva M, Sitzia T, Sjöman H, Slot M, Smith NG, Sodhi D, Soltis P, Soltis D, Somers B, Sonnier G, Sørensen MV, Sosinski EE Jr, Soudzilovskaia NA, 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Subjects
Biodiversity, Ecology, Plants, Access to Information, Ecosystem
Abstract

Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives., (© 2019 The Authors. Global Change Biology published by John Wiley & Sons Ltd.)

Published
2020
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