11 results on '"Zolles, Anita"'
Search Results
2. Das Mastverhalten von Bäumen im Wandel
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Lapin, Katharina, primary, Zolles, Anita, additional, and Schüler, Silvio, additional
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- 2023
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3. High-resolution Carbon cycling data from 2019 to 2021 measured at six Austrian LTER sites.
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Dirnböck, Thomas, Bahn, Michael, Diaz-Pines, Eugenio, Djukic, Ika, Englisch, Michael, Gartner, Karl, Gollobich, Günther, Hofbauer, Armin, Ingrisch, Johannes, Kitzler, Barbara, Knaebel, Karl, Kobler, Johannes, Maier, Andreas, Wohner, Christoph, Offenthaler, Ivo, Peterseil, Johannes, Pröll, Gisela, Venier, Sarah, Zechmeister, Sophie, and Zolles, Anita
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CARBON cycle ,CLIMATE extremes ,WETLANDS ,DATA integration ,TREE growth ,ECOSYSTEMS - Abstract
Seven long-term observation sites have been established in six regions across Austria, covering major ecosystem types such as forests, grasslands and wetlands across a wide bioclimatic range. The purpose of these observations is to measure key ecosystem parameters serving as baselines for assessing the impacts of extreme climate events on the carbon cycle. The data sets collected include meteorological variables, soil microclimate, CO
2 fluxes and tree stem growth, all recorded at high temporal resolution between 2019 and 2021 (including one year of average climate conditions and two comparatively dry years). The DOIs of the dataset can be found in the data availability chapter. The sites will be integrated into the European Research Infrastructure for Integrated European Long-Term Ecosystem, Critical Zone, and Socio-Ecological Research (eLTER RI). Subsequently, new data covering the variables presented here will be continuously available through its data integration portal. This step will allow the data to reach its full potential for research on drought-related ecosystem carbon cycling. [ABSTRACT FROM AUTHOR]- Published
- 2024
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4. Dynamics of standing deadwood in Austrian forests under varying forest management and climatic conditions
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Oettel, Janine, primary, Zolles, Anita, additional, Gschwantner, Thomas, additional, Lapin, Katharina, additional, Kindermann, Georg, additional, Schweinzer, Karl‐Manfred, additional, Gossner, Martin M., additional, and Essl, Franz, additional
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- 2023
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5. MASTREE+: Time‐series of plant reproductive effort from six continents
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Hacket‐Pain, Andrew, primary, Foest, Jessie J., additional, Pearse, Ian S., additional, LaMontagne, Jalene M., additional, Koenig, Walter D., additional, Vacchiano, Giorgio, additional, Bogdziewicz, Michał, additional, Caignard, Thomas, additional, Celebias, Paulina, additional, van Dormolen, Joep, additional, Fernández‐Martínez, Marcos, additional, Moris, Jose V., additional, Palaghianu, Ciprian, additional, Pesendorfer, Mario, additional, Satake, Akiko, additional, Schermer, Eliane, additional, Tanentzap, Andrew J., additional, Thomas, Peter A., additional, Vecchio, Davide, additional, Wion, Andreas P., additional, Wohlgemuth, Thomas, additional, Xue, Tingting, additional, Abernethy, Katharine, additional, Aravena Acuña, Marie‐Claire, additional, Daniel Barrera, Marcelo, additional, Barton, Jessica H., additional, Boutin, Stan, additional, Bush, Emma R., additional, Donoso Calderón, Sergio, additional, Carevic, Felipe S., additional, de Castilho, Carolina Volkmer, additional, Manuel Cellini, Juan, additional, Chapman, Colin A., additional, Chapman, Hazel, additional, Chianucci, Francesco, additional, da Costa, Patricia, additional, Croisé, Luc, additional, Cutini, Andrea, additional, Dantzer, Ben, additional, Justin DeRose, R., additional, Dikangadissi, Jean‐Thoussaint, additional, Dimoto, Edmond, additional, da Fonseca, Fernanda Lopes, additional, Gallo, Leonardo, additional, Gratzer, Georg, additional, Greene, David F., additional, Hadad, Martín A., additional, Herrera, Alejandro Huertas, additional, Jeffery, Kathryn J., additional, Johnstone, Jill F., additional, Kalbitzer, Urs, additional, Kantorowicz, Władysław, additional, Klimas, Christie A., additional, Lageard, Jonathan G. A., additional, Lane, Jeffrey, additional, Lapin, Katharina, additional, Ledwoń, Mateusz, additional, Leeper, Abigail C., additional, Vanessa Lencinas, Maria, additional, Lira‐Guedes, Ana Cláudia, additional, Lordon, Michael C., additional, Marchelli, Paula, additional, Marino, Shealyn, additional, Schmidt Van Marle, Harald, additional, McAdam, Andrew G., additional, Momont, Ludovic R. W., additional, Nicolas, Manuel, additional, de Oliveira Wadt, Lúcia Helena, additional, Panahi, Parisa, additional, Martínez Pastur, Guillermo, additional, Patterson, Thomas, additional, Luis Peri, Pablo, additional, Piechnik, Łukasz, additional, Pourhashemi, Mehdi, additional, Espinoza Quezada, Claudia, additional, Roig, Fidel A., additional, Peña Rojas, Karen, additional, Micaela Rosas, Yamina, additional, Schueler, Silvio, additional, Seget, Barbara, additional, Soler, Rosina, additional, Steele, Michael A., additional, Toro‐Manríquez, Mónica, additional, Tutin, Caroline E. G., additional, Ukizintambara, Tharcisse, additional, White, Lee, additional, Yadok, Biplang, additional, Willis, John L., additional, Zolles, Anita, additional, Żywiec, Magdalena, additional, and Ascoli, Davide, additional
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- 2022
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6. Continuous Parameterization of Leaf Area Index and Phenological Phases Within Deciduous Forests Based on Temperature Measurements
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Zolles, Anita, primary, Schueler, Silvio, additional, Gartner, Karl, additional, and Scheifinger, Gartner, additional
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- 2021
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7. Comparing environmental impacts of alien plants, insects and pathogens in protected riparian forests
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Lapin, Katharina, primary, Bacher, Sven, additional, Cech, Thomas, additional, Damjanić, Rok, additional, Essl, Franz, additional, Georges, Freya-Isabel, additional, Hoch, Gernot, additional, Kavčič, Andreja, additional, Koltay, András, additional, Kostić, Saša, additional, Lukić, Ivan, additional, Marinšek, Aleksander, additional, Nagy, László, additional, Agbaba, Sanja Novak, additional, Oettel, Janine, additional, Orlović, Saša, additional, Poljaković-Pajnik, Leopold, additional, Sallmannshofer, Markus, additional, Steinkellner, Martin, additional, Stojnic, Srdjan, additional, Westergren, Marjana, additional, Zlatkovic, Milica, additional, Zolles, Anita, additional, and de Groot, Maarten, additional
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- 2021
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8. High‐resolution gridded climate data for Europe based on bias‐corrected EURO‐CORDEX: The ECLIPS dataset
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Chakraborty, Debojyoti, primary, Dobor, Laura, additional, Zolles, Anita, additional, Hlásny, Tomáš, additional, and Schueler, Silvio, additional
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- 2020
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9. High-resolution gridded climate data for Europe based on biascorrected EURO-CORDEX: The ECLIPS dataset.
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Chakraborty, Debojyoti, Dobor, Laura, Zolles, Anita, Hlásny, Tomáš, and Schueler, Silvio
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DATABASES ,ATMOSPHERIC models ,SPATIAL resolution ,SOCIAL processes ,ECOSYSTEMS - Abstract
Climate is an important driver of many ecological and social processes; the availability of high-resolution climate data is thus one of the key presumptions for knowledge-based decisions. We created a new climate dataset for Europe referred to as ECLIPS (European CLimate Index ProjectionS), which contains gridded data for 80 annual, seasonal and monthly climate variables for two past (1961–1990 and 1991–2010) and five future (2011–2020, 2021–2140, 2041–2060, 2061–2080 and 2081–2100) periods. The future data are based on five regional climate models (RCMs) driven by two greenhouse gas concentration scenarios, RCP 4.5 and RCP 8.5. Two ECLIPS versions were developed: ECLIPS 1.1 with a spatial resolution of 0.11° × 0.11°, which is the resolution of the underlying RCMs, and ECLIPS 2.0 downscaled to the resolution of 30 arcsec employing the delta approach. Both ECLIPS versions were tested against independent station data from the European Climate Assessment (ECA) dataset. Correlations of the ECA and ECLIPS 1.1 data ranged from 0.63 to 0.78, depending on the tested variable. The correlations increased to 0.78–0.93 for ECLIPS 2.0, suggesting substantial improvement of the match with station data due to the downscaling. A large number of climate projections, periods and indices as well as the availability of these data at two different spatial resolutions can support diverse studies across a range of disciplines and thus extend our understanding of climate-sensitive dynamics of many social and ecological systems. [ABSTRACT FROM AUTHOR]
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- 2021
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10. Parameterizing tree growth with standard meteorological data
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Zolles, Anita Christine
- Abstract
In dieser Arbeit sollen zwei neue Methoden zur Parametrisierung von phänologischen Baumparametern über meteorlogische Standardmessungen diskutiert werden. Konkret untersucht werden dabei der Start des Baumumfangswachstums und der Leaf-Area-Index (LAI). Die zu diesem Zwecke verwendeten Daten, werden vom Bundesforschungszentrum für Wald (BFW) und der Zentralanstalt für Meteorologie und Geodynamik (ZAMG) zur Verfügung gestellt. Die zu untersuchenden Daten wurden über sieben Jahre (2011-2017) von drei verschiedenen Messstationen in der näheren Umgebung von Klausen Leopoldsdorf, Niederösterreich aufgezeichnet. Dabei befindet sich eine der Stationen direkt im Bestand (Bestandsstation), die zweite im Bereich des Waldrands (Klimastation) und bei der dritten Station handelt es sich um eine Freilandstation außerhalb Des Waldgebietes (Referenzstation). An allen drei Stationen werden meteorologische Messungen durchgeführt, wobei für diese Arbeit lediglich die Strahlungsmessung an der Klimastation (in einer zeitlichen Auflösung von 15 Minuten) und die Temperaturmessungen an der Bestandsstation (in einer zeitlichen Auflösung von 15Minuten) sowie der Referenzstation (täglich Werte des Maximum-,Minimum- und Mittelwerts) verwendet werden. Zusätzlich werden Messungen der Baumumfangsänderung (in stündlicher Auflösung) an sieben verschiedenen Bäumen und jährlichen LAI Messungen (ermittelt über hemisphärische Fotografien an 16 verschiedenen Messpunkten) verwendet, beide Messungen erfolgen an der Bestandsstation. Für die erste beschriebene Methode werden die jährlichen akkumulierten Strahlungssummen aus der Klimastation verwendet, um den Start des Baumumfangswachstums zu parametrisieren. Dabei zeigt sich, dass der Start des Baumumfangswachstums dann auftritt, wenn eine Strahlungsssumme von etwa 800000MJ/m2 erreicht wird, wobei der mittlere absolute Fehler bei rund zehn Tagen liegt. Bei der zweiten Methode wird die Differenz zwischen der täglichen Maximumtemperatur der Bestandsund Referenzstation (DMAX) verwendet um den LAI zu parametrisieren. Nach der grafischen Darstellung des mittleren Jahresgangs von DMAX werden zwei charakteristische Belaubungsphasen identifiziert: Die Phase maximaler Belaubung im Sommer, sowie die Phase ohne Belaubung, die ab dem Spätherbst beginnt und bis in den Vorfrühling reicht. Der Vergleich zwischen dem über DMAX parametrisierten und dem gemessenen LAI zeigte eine hohe Korrelation von 0,9. Ein weiterer Vergleich des parametrisierten LAI mit dem Baumumfangswachstum zeigt, dass die Korrelation beider Parameter ihr Maximum von 0,48 erreicht, wenn die Zeitreihe des parametrisierten LAIs um 48 Tage nach Hinten verschoben wird. Die Ergebnisse unterstützen die Annahme, dass meteorologische Größen für die Parametrisierung von charakteristischen Baumparametern geeignet sind., This study presents two novel methods to parametrize phenological tree parameters, namely stem growth start and leaf-area-index (LAI), using standard meteorological data. For the purpose of this study phenological as well as meteorological data was provided by the Austrian Research Centre for Forests (BFW) and the Austrian Central Institute for Meteorology and Geodynamics (ZAMG). Used data stems from three different measurement sites in the vicinity of Klausen Leopoldsdorf in Lower Austria across seven years (2011-2017). The first site is located directly in the forest (forest site), the second site is at the edge of the forest (climate site) and the third site is an open ground site outside the forest area (reference site). Meteorological measurements are carried out at all three measurement sites. Where, for this study only the solar radiation measurement at the climate site (with a temporal resolution of 15 minutes) and the temperature measurements at the forest site (with a temporal resolution of 15 minutes) and the reference site (which provided measurements of daily minimum, maximum and mean) are used. In addition, measurements of growth in tree girth at seven different trees (with a temporal resolution of one hour) and annual LAImeasurements (using hemispherical photographs at 16 points) are conducted at the forest site. The first method described in this study uses the annual accumulated solar radiation sum at the climate site to parametrize stem growth start. Results indicate that stem growth start is observed when an accumulated solar radiation sum of roundabout 800000MJ/m2 is reached with the obtained mean absolute error being approximately 10 days. For the second method the difference in daily maximum temperature at the forest site and the reference site (referred to as DMAX) is used to parametrize the LAI. For DMAX the average course of the year is plotted and the graph is sectioned into two different foliage phases: A maximum foliage phase during summertime and a no foliage phase ranging from late autumn to early spring. Comparison of the LAI parametrization derived from DMAX and the average LAI obtained via measurements showed a high correlation of 0,90. Further comparison of the parametrized LAI to measurements of growth in girth showed that the correlation of both parameters is maximised to 0,48 when a shift of 48 days was applied to the parametrized LAI time series. The findings of this study provide support for the hypothesis that stem growth start and LAI can be parametrized using standard meteorological data.
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- 2019
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11. MASTREE+ : time-series of plant reproductive effort from six continents
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Andrew Hacket‐Pain, Jessie J. Foest, Ian S. Pearse, Jalene M. LaMontagne, Walter D. Koenig, Giorgio Vacchiano, Michał Bogdziewicz, Thomas Caignard, Paulina Celebias, Joep van Dormolen, Marcos Fernández‐Martínez, Jose V. Moris, Ciprian Palaghianu, Mario Pesendorfer, Akiko Satake, Eliane Schermer, Andrew J. Tanentzap, Peter A. Thomas, Davide Vecchio, Andreas P. Wion, Thomas Wohlgemuth, Tingting Xue, Katharine Abernethy, Marie‐Claire Aravena Acuña, Marcelo Daniel Barrera, Jessica H. Barton, Stan Boutin, Emma R. Bush, Sergio Donoso Calderón, Felipe S. Carevic, Carolina Volkmer de Castilho, Juan Manuel Cellini, Colin A. Chapman, Hazel Chapman, Francesco Chianucci, Patricia da Costa, Luc Croisé, Andrea Cutini, Ben Dantzer, R. Justin DeRose, Jean‐Thoussaint Dikangadissi, Edmond Dimoto, Fernanda Lopes da Fonseca, Leonardo Gallo, Georg Gratzer, David F. Greene, Martín A. Hadad, Alejandro Huertas Herrera, Kathryn J. Jeffery, Jill F. Johnstone, Urs Kalbitzer, Władysław Kantorowicz, Christie A. Klimas, Jonathan G. A. Lageard, Jeffrey Lane, Katharina Lapin, Mateusz Ledwoń, Abigail C. Leeper, Maria Vanessa Lencinas, Ana Cláudia Lira‐Guedes, Michael C. Lordon, Paula Marchelli, Shealyn Marino, Harald Schmidt Van Marle, Andrew G. McAdam, Ludovic R. W. Momont, Manuel Nicolas, Lúcia Helena de Oliveira Wadt, Parisa Panahi, Guillermo Martínez Pastur, Thomas Patterson, Pablo Luis Peri, Łukasz Piechnik, Mehdi Pourhashemi, Claudia Espinoza Quezada, Fidel A. Roig, Karen Peña Rojas, Yamina Micaela Rosas, Silvio Schueler, Barbara Seget, Rosina Soler, Michael A. Steele, Mónica Toro‐Manríquez, Caroline E. G. Tutin, Tharcisse Ukizintambara, Lee White, Biplang Yadok, John L. Willis, Anita Zolles, Magdalena Żywiec, Davide Ascoli, CAROLINA VOLKMER DE CASTILHO, CPAF-RR, PATRICIA DA COSTA, CNPMA, ANA CLAUDIA LIRA GUEDES, CPAF-AP, FERNANDA LOPES DA FONSECA, CPAF-AC, LUCIA HELENA DE OLIVEIRA WADT, CPAF-RO., Hacket-Pain, Andrew [0000-0003-3676-1568], Foest, Jessie J [0000-0002-8236-4646], Pearse, Ian S [0000-0001-7098-0495], LaMontagne, Jalene M [0000-0001-7713-8591], Koenig, Walter D [0000-0001-6207-1427], Vacchiano, Giorgio [0000-0001-8100-0659], Bogdziewicz, Michał [0000-0002-6777-9034], Caignard, Thomas [0000-0001-5009-4613], Celebias, Paulina [0000-0001-9916-2904], Fernández-Martínez, Marcos [0000-0002-5661-3610], Moris, Jose V [0000-0003-0241-7910], Palaghianu, Ciprian [0000-0003-2496-2135], Pesendorfer, Mario [0000-0002-7994-7090], Satake, Akiko [0000-0002-0831-8617], Schermer, Eliane [0000-0001-7302-2241], Tanentzap, Andrew J [0000-0002-2883-1901], Thomas, Peter A [0000-0003-3115-3301], Wion, Andreas P [0000-0002-0701-2843], Wohlgemuth, Thomas [0000-0002-4623-0894], Abernethy, Katharine [0000-0002-0393-9342], Aravena Acuña, Marie-Claire [0000-0002-4493-4396], Daniel Barrera, Marcelo [0000-0002-9207-8109], Barton, Jessica H [0000-0002-2016-4278], Boutin, Stan [0000-0001-6317-038X], Bush, Emma R [0000-0003-4036-125X], Donoso Calderón, Sergio [0000-0002-4599-4702], Carevic, Felipe S [0000-0002-6137-2057], de Castilho, Carolina Volkmer [0000-0002-1064-2758], Manuel Cellini, Juan [0000-0002-7870-5751], Chapman, Colin A [0000-0002-8827-8140], Chapman, Hazel [0000-0001-8509-703X], Chianucci, Francesco [0000-0002-5688-2060], da Costa, Patricia [0000-0002-5192-6685], Cutini, Andrea [0000-0002-7033-2399], Dantzer, Ben [0000-0002-3058-265X], Justin DeRose, R [0000-0002-4849-7744], da Fonseca, Fernanda Lopes [0000-0001-7289-6684], Gratzer, Georg [0000-0002-6355-6562], Hadad, Martín A [0000-0002-9334-064X], Herrera, Alejandro Huertas [0000-0003-2229-6714], Johnstone, Jill F [0000-0001-6131-9339], Kalbitzer, Urs [0000-0002-6289-7971], Kantorowicz, Władysław [0000-0002-2474-0113], Klimas, Christie A [0000-0001-9362-1305], Lageard, Jonathan GA [0000-0001-8971-0444], Lapin, Katharina [0000-0003-4462-2058], Ledwoń, Mateusz [0000-0003-3017-6376], Vanessa Lencinas, Maria [0000-0002-2123-3976], Lira-Guedes, Ana Cláudia [0000-0001-9200-4727], Marchelli, Paula [0000-0002-6949-0656], McAdam, Andrew G [0000-0001-7323-2572], Nicolas, Manuel [0000-0002-0885-1227], de Oliveira Wadt, Lúcia Helena [0000-0002-5018-7550], Panahi, Parisa [0000-0002-5295-9534], Martínez Pastur, Guillermo [0000-0003-2614-5403], Patterson, Thomas [0000-0002-3498-893X], Luis Peri, Pablo [0000-0002-5398-4408], Piechnik, Łukasz [0000-0002-3958-7393], Pourhashemi, Mehdi [0000-0002-8918-6336], Roig, Fidel A [0000-0003-0987-0486], Peña Rojas, Karen [0000-0001-6795-1503], Micaela Rosas, Yamina [0000-0001-7476-399X], Schueler, Silvio [0000-0003-0155-5692], Seget, Barbara [0000-0002-7872-926X], Soler, Rosina [0000-0002-5799-1672], Toro-Manríquez, Mónica [0000-0001-6492-1333], White, Lee [0000-0002-4595-5981], Yadok, Biplang [0000-0001-5926-9897], Willis, John L [0000-0003-0238-0003], Zolles, Anita [0000-0003-3476-3172], Żywiec, Magdalena [0000-0002-5992-4051], Ascoli, Davide [0000-0002-0546-4467], Apollo - University of Cambridge Repository, Department of Geography and Planning, School of Environmental Sciences, University of Liverpool, US Geological Survey [Fort Collins], United States Geological Survey [Reston] (USGS), Department of Biological Sciences [Chicago], University of Illinois [Chicago] (UIC), University of Illinois System-University of Illinois System, University of California [Berkeley] (UC Berkeley), University of California (UC), Department of Agricultural and Environmental Sciences, Università degli Studi di Milano = University of Milan (UNIMI), Laboratoire des EcoSystèmes et des Sociétés en Montagne (UR LESSEM), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Biodiversité, Gènes & Communautés (BioGeCo), Université de Bordeaux (UB)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Universitatea Stefan cel Mare Suceava (USU), Department of Forest and Soil Sciences, Universität für Bodenkultur Wien = University of Natural Resources and Life [Vienne, Autriche] (BOKU), Kyushu University, Institut méditerranéen de biodiversité et d'écologie marine et continentale (IMBE), Avignon Université (AU)-Aix Marseille Université (AMU)-Institut de recherche pour le développement [IRD] : UMR237-Centre National de la Recherche Scientifique (CNRS), ECOSYSTEMS AND GLOBAL CHANGE GROUP DEPARTMENT OF PLANT SCIENCES UNIVERSITY OF CAMBRIDGE GBR, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), School of Life Sciences, University of Northumbria at Newcastle [United Kingdom], Faculty of Natural Sciences [Stirling], University of Stirling, Universidad Nacional de la Plata [Argentine] (UNLP), Department of Biological Sciences [Edmonton], University of Alberta, Royal Botanic Garden [Edinburgh], Brazilian Agricultural Research Corporation (Embrapa), Department of Anthropology [George Washington University] (GW), The George Washington University (GW), School of biological Sciences [Christchurch], University of Canterbury [Christchurch], Centro di Viticoltura ed Enologia [CREA], Consiglio per la Ricerca in Agricoltura e l’analisi dell’economia agraria = Council for Agricultural Research and Economics (CREA), Département Recherche-Développement-Innovation, Office National des Forêts (ONF), Agence Nationale des Parcs Nationaux du Gabon (ANPN), Centro de Investigación en Ecosistemas de la Patagonia (CIEP), Universidad Austral de Chile, Institute of Arctic Biology, University of Alaska [Fairbanks] (UAF), Department of Biology, University of Konstanz, Konstanz, forest research institute, Department of silviculture and genetics of forest trees, Austrian Research Centre for Forests (BFW), Department of Ecology and Evolutionary Biology [Boulder], University of Colorado [Boulder], Instituto Nacional de Tecnología Agropecuaria, and Universidad Nacional de la Patagonia Austral (UNPA)
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Plantas Perennes ,Reclutamiento ,demography ,Seed production ,Regeneración ,Regeneration (biological) ,Q1 ,Perennials ,Flowering ,Plant Propagation ,Evolución de las Estrategias Reproductivas ,Ecología Vegetal ,flowering ,general flowering ,masting ,plant reproduction ,recruitment ,regeneration ,Propagación de Plantas ,General Environmental Science ,Global and Planetary Change ,Ecology ,Ecosistemas de Tierras Secas ,Reproduction ,R735 ,Plants ,[SDE]Environmental Sciences ,Seeds ,General flowering ,Recruitment ,Strategies ,FOS: Medical biotechnology ,demography, flowering, general flowering, masting, plant reproduction, recruitment, regeneration ,Dryland Ecosystems ,Plant reproduction ,ddc:570 ,Environmental Chemistry ,Demografía ,Regeneration ,Floración ,Time Series Analysis ,Ecosystem ,Demography ,Plant Ecology ,Masting ,QR ,Evolution of Reproductive Strategies ,FOS: Biological sciences ,Análisis de Series Temporales ,Estrategias - 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. EEA Santa Cruz Fil: Hacket-Pain, Andrew. University of Liverpool. School of Environmental Sciences. Department of Geography and Planning; Reino Unido Fil: Foest, Jessie J. University of Liverpool. School of Environmental Sciences. Department of Geography and Planning; Reino Unido Fil: Pearse, Ian S. U.S. Fort Collins Science Center. Geological Survey; Estados Unidos Fil: LaMontagne, Jalene M. DePaul University. Department of Biological Sciences; Estados Unidos Fil: Koenig, Walter D. University of California Berkeley. Hastings Reservation; Estados Unidos Fil: Vacchiano, Giorgio. University of Milan. Milan Department of Agricultural and Environmental Sciences; Italia. Fil: Bogdziewicz, Michał. Adam Mickiewicz University. Faculty of Biology. Institute of Environmental Biology; Polonia Fil: Bogdziewicz, Michał. University Grenoble Alpes. INRAE, LESSEM; Francia Fil: Caignard, Thomas. Université Bordeaux. INRAE, BIOGECO; Francia Fil: Celebias, Paulina. Adam Mickiewicz University. Faculty of Biology. Institute of Environmental Biology; Polonia Fil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Fil: Peri, Pablo Luis. Universidad Nacional de la Patagonia Austral; Argentina. Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fil: Ascoli, Davide. University of Torino. Department of Agricultural. Forest and Food Sciences (DISAFA); Italia Fil: Gallo, Leonardo Ariel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina Fil: Gallo, Leonardo Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina Fil: Marchelli, Paula. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina Fil: Marchelli, Paula. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
- Published
- 2022
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