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1. Towards Scalable Insect Monitoring: Ultra-Lightweight CNNs as On-Device Triggers for Insect Camera Traps

Author

Gardiner, Ross, Rowands, Sareh, and Simmons, Benno I.

Subjects
Quantitative Biology - Quantitative Methods, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

Camera traps, combined with AI, have emerged as a way to achieve automated, scalable biodiversity monitoring. However, the passive infrared (PIR) sensors that trigger camera traps are poorly suited for detecting small, fast-moving ectotherms such as insects. Insects comprise over half of all animal species and are key components of ecosystems and agriculture. The need for an appropriate and scalable insect camera trap is critical in the wake of concerning reports of declines in insect populations. This study proposes an alternative to the PIR trigger: ultra-lightweight convolutional neural networks running on low-powered hardware to detect insects in a continuous stream of captured images. We train a suite of models to distinguish insect images from backgrounds. Our design achieves zero latency between trigger and image capture. Our models are rigorously tested and achieve high accuracy ranging from 91.8% to 96.4% AUC on validation data and >87% AUC on data from distributions unseen during training. The high specificity of our models ensures minimal saving of false positive images, maximising deployment storage efficiency. High recall scores indicate a minimal false negative rate, maximising insect detection. Further analysis with saliency maps shows the learned representation of our models to be robust, with low reliance on spurious background features. Our system is also shown to operate deployed on off-the-shelf, low-powered microcontroller units, consuming a maximum power draw of less than 300mW. This enables longer deployment times using cheap and readily available battery components. Overall we offer a step change in the cost, efficiency and scope of insect monitoring. Solving the challenging trigger problem, we demonstrate a system which can be deployed for far longer than existing designs and budgets power and bandwidth effectively, moving towards a generic insect camera trap.

Published
2024

2. DustNet: skillful neural network predictions of Saharan dust

Author

Nowak, Trish E., Augousti, Andy T., Simmons, Benno I., and Siegert, Stefan

Subjects
Physics - Geophysics, Computer Science - Artificial Intelligence, Physics - Atmospheric and Oceanic Physics, Physics - Data Analysis, Statistics and Probability, 86-06(Primary), 86A10(Secondary), J.2, I.2.1, I.2.7
Abstract

Suspended in the atmosphere are millions of tonnes of mineral dust which interacts with weather and climate. Accurate representation of mineral dust in weather models is vital, yet remains challenging. Large scale weather models use high power supercomputers and take hours to complete the forecast. Such computational burden allows them to only include monthly climatological means of mineral dust as input states inhibiting their forecasting accuracy. Here, we introduce DustNet a simple, accurate and super fast forecasting model for 24-hours ahead predictions of aerosol optical depth AOD. DustNet trains in less than 8 minutes and creates predictions in 2 seconds on a desktop computer. Created by DustNet predictions outperform the state-of-the-art physics-based model on coarse 1 x 1 degree resolution at 95% of grid locations when compared to ground truth satellite data. Our results show DustNet has a potential for fast and accurate AOD forecasting which could transform our understanding of dust impacts on weather patterns., Comment: 34 pages, 9 figures, uses 2D CNN

Published
2024

5. CropPol : A dynamic, open and global database on crop pollination

Author

Allen-Perkins, Alfonso, Magrach, Ainhoa, Dainese, Matteo, Garibaldi, Lucas A., Kleijn, David, Rader, Romina, Reilly, James R., Winfree, Rachael, Lundin, Ola, McGrady, Carley M., Brittain, Claire, Biddinger, David J., Artz, Derek R., Elle, Elizabeth, Hoffman, George, Ellis, James D., Daniels, Jaret, Gibbs, Jason, Campbell, Joshua W., Brokaw, Julia, Wilson, Julianna K., Mason, Keith, Ward, Kimiora L., Gundersen, Knute B., Bobiwash, Kyle, Gut, Larry, Rowe, Logan M., Boyle, Natalie K., Williams, Neal M., Joshi, Neelendra K., Rothwell, Nikki, Gillespie, Robert L., Isaacs, Rufus, Fleischer, Shelby J., Peterson, Stephen S., Rao, Sujaya, Pitts-Singer, Theresa L., Fijen, Thijs, Boreux, Virginie, Rundlöf, Maj, Viana, Blandina Felipe, Klein, Alexandra-Maria, Smith, Henrik G., Bommarco, Riccardo, Carvalheiro, Luísa G., Ricketts, Taylor H., Ghazoul, Jaboury, Krishnan, Smitha, Benjamin, Faye E., Loureiro, João, Castro, Sílvia, Raine, Nigel E., de Groot, Gerard Arjen, Horgan, Finbarr G., Hipólito, Juliana, Smagghe, Guy, Meeus, Ivan, Eeraerts, Maxime, Potts, Simon G., Kremen, Claire, García, Daniel, Miñarro, Marcos, Crowder, David W., Pisanty, Gideon, Mandelik, Yael, Vereecken, Nicolas J., Leclercq, Nicolas, Weekers, Timothy, Lindstrom, Sandra A. M., Stanley, Dara A., Zaragoza-Trello, Carlos, Nicholson, Charlie C., Scheper, Jeroen, Rad, Carlos, Marks, Evan A. N., Mota, Lucie, Danforth, Bryan, Park, Mia, Bezerra, Antônio Diego M., Freitas, Breno M., Mallinger, Rachel E., da Silva, Fabiana Oliveira, Willcox, Bryony, Ramos, Davi L., da Silva e Silva, Felipe D., Lázaro, Amparo, Alomar, David, González-Estévez, Miguel A., Taki, Hisatomo, Cariveau, Daniel P., Garratt, Michael P. D., Jodar, Diego N. Nabaes, Stewart, Rebecca I. A., Ariza, Daniel, Pisman, Matti, Lichtenberg, Elinor M., Schüepp, Christof, Herzog, Felix, Entling, Martin H., Dupont, Yoko L., Michener, Charles D., Daily, Gretchen C., Ehrlich, Paul R., Burns, Katherine L. W., Vilà, Montserrat, Robson, Andrew, Howlett, Brad, Blechschmidt, Leah, Jauker, Frank, Schwarzbach, Franziska, Nesper, Maike, Diekötter, Tim, Wolters, Volkmar, Castro, Helena, Gaspar, Hugo, Nault, Brian A., Badenhausser, Isabelle, Petersen, Jessica D., Tscharntke, Teja, Bretagnolle, Vincent, Chan, D. Susan Willis, Chacoff, Natacha, Andersson, Georg K. S., Jha, Shalene, Colville, Jonathan F., Veldtman, Ruan, Coutinho, Jeferson, Bianchi, Felix J. J. A., Sutter, Louis, Albrecht, Matthias, Jeanneret, Philippe, Zou, Yi, Averill, Anne L., Saez, Agustin, Sciligo, Amber R., Vergara, Carlos H., Bloom, Elias H., Oeller, Elisabeth, Badano, Ernesto I., Loeb, Gregory M., Grab, Heather, Ekroos, Johan, Gagic, Vesna, Cunningham, Saul A., Åström, Jens, Cavigliasso, Pablo, Trillo, Alejandro, Classen, Alice, Mauchline, Alice L., Montero-Castaño, Ana, Wilby, Andrew, Woodcock, Ben A., Sidhu, C. Sheena, Steffan-Dewenter, Ingolf, Vogiatzakis, Ioannis N., Herrera, José M., Otieno, Mark, Gikungu, Mary W., Cusser, Sarah J., Nauss, Thomas, Nilsson, Lovisa, Knapp, Jessica, Ortega-Marcos, Jorge J., González, José A., Osborne, Juliet L., Blanche, Rosalind, Shaw, Rosalind F., Hevia, Violeta, Stout, Jane, Arthur, Anthony D., Blochtein, Betina, Szentgyorgyi, Hajnalka, Li, Jin, Mayfield, Margaret M., Woyciechowski, Michał, Nunes-Silva, Patrícia, de Oliveira, Rosana Halinski, Henry, Steve, Simmons, Benno I., Dalsgaard, Bo, Hansen, Katrine, Sritongchuay, Tuanjit, O'Reilly, Alison D., García, Fermín José Chamorro, Parra, Guiomar Nates, Pigozo, Camila Magalhães, and Bartomeus, Ignasi

Published
2022

6. Quantifying Earth system interactions for sustainable food production via expert elicitation

Author

Chrysafi, Anna, Virkki, Vili, Jalava, Mika, Sandström, Vilma, Piipponen, Johannes, Porkka, Miina, Lade, Steven J., La Mere, Kelsey, Wang-Erlandsson, Lan, Scherer, Laura, Andersen, Lauren S., Bennett, Elena, Brauman, Kate A., Cooper, Gregory S., De Palma, Adriana, Döll, Petra, Downing, Andrea S., DuBois, Timothy C., Fetzer, Ingo, Fulton, Elizabeth A., Gerten, Dieter, Jaafar, Hadi, Jägermeyr, Jonas, Jaramillo, Fernando, Jung, Martin, Kahiluoto, Helena, Lassaletta, Luis, Mackay, Anson W., Mason-D’Croz, Daniel, Mekonnen, Mesfin M., Nash, Kirsty L., Pastor, Amandine V., Ramankutty, Navin, Ridoutt, Brad, Siebert, Stefan, Simmons, Benno I., Staal, Arie, Sun, Zhongxiao, Tobian, Arne, Usubiaga-Liaño, Arkaitz, van der Ent, Ruud J., van Soesbergen, Arnout, Verburg, Peter H., Wada, Yoshihide, Zipper, Sam, and Kummu, Matti

Published
2022
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8. Trait evolution, resource specialization and vulnerability to plant extinctions among Antillean hummingbirds

Author

Dalsgaard, Bo, Kennedy, Jonathan D, Simmons, Benno I, Baquero, Andrea C, González, Ana M Martín, Timmermann, Allan, Maruyama, Pietro K, McGuire, Jimmy A, Ollerton, Jeff, Sutherland, William J, and Rahbek, Carsten

Subjects
Life Below Water, Animals, Beak, Biological Evolution, Birds, Body Size, Confidence Intervals, Extinction, Biological, Flowers, Linear Models, Plant Nectar, Pollination, Species Specificity, Temperature, West Indies, island biology, mountains, mutualistic networks, endemics, specialization, taxon cycles, Biological Sciences, Agricultural and Veterinary Sciences, Medical and Health Sciences
Abstract

Species traits are thought to predict feeding specialization and the vulnerability of a species to extinctions of interaction partners, but the context in which a species evolved and currently inhabits may also matter. Notably, the predictive power of traits may require that traits evolved to fit interaction partners. Furthermore, local abiotic and biotic conditions may be important. On islands, for instance, specialized and vulnerable species are predicted to be found mainly in mountains, whereas species in lowlands should be generalized and less vulnerable. We evaluated these predictions for hummingbirds and their nectar-food plants on Antillean islands. Our results suggest that the rates of hummingbird trait divergence were higher among ancestral mainland forms before the colonization of the Antilles. In correspondence with the limited trait evolution that occurred within the Antilles, local abiotic and biotic conditions-not species traits-correlate with hummingbird resource specialization and the vulnerability of hummingbirds to extinctions of their floral resources. Specifically, hummingbirds were more specialized and vulnerable in conditions with high topographical complexity, high rainfall, low temperatures and high floral resource richness, which characterize the Antillean Mountains. These findings show that resource specialization and species vulnerability to extinctions of interaction partners are highly context-dependent.

Published
2018

9. Ecological mechanisms explaining interactions within plant–hummingbird networks : morphological matching increases towards lower latitudes

Author

Sonne, Jesper, Vizentin-Bugoni, Jeferson, Maruyama, Pietro K., Araujo, Andréa C., Chávez-González, Edgar, Coelho, Aline G., Cotton, Peter A., Marín-Gómez, Oscar H., Lara, Carlos, Lasprilla, Liliana R., Machado, Caio G., Maglianesi, Maria A., Malucelli, Tiago S., González, Ana M. Martín, Oliveira, Genilda M., Oliveira, Paulo E., Ortiz-Pulido, Raul, Rocca, Márcia A., Rodrigues, Licléia C., Sazima, Ivan, Simmons, Benno I., Tinoco, Boris, Varassin, Isabela G., Vasconcelos, Marcelo F., O’Hara, Bob, Schleuning, Matthias, Rahbek, Carsten, Sazima, Marlies, and Dalsgaard, Bo

Published
2020

12. Limited potential for bird migration to disperse plants to cooler latitudes

Author

González-Varo, Juan P., Rumeu, Beatriz, Albrecht, Jörg, Arroyo, Juan M., Bueno, Rafael S., Burgos, Tamara, da Silva, Luís P., Escribano-Ávila, Gema, Farwig, Nina, García, Daniel, Heleno, Ruben H., Illera, Juan C., Jordano, Pedro, Kurek, Przemysław, Simmons, Benno I., Virgós, Emilio, Sutherland, William J., and Traveset, Anna

Published
2021
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13. Hurricane‐induced pollinator shifts in a tightly coadapted plant–hummingbird mutualism.

Author

Schrøder, Taia S. O., Gonçalves, Fernando, Vollstädt, Maximilian G. R., Zhang, Tianying, Jensen, Rasmus D., Tarazona‐Tubens, Fabio L., Kim, Seokmin, Galetti, Mauro, Simmons, Benno I., Kaiser‐Bunbury, Christopher N., Temeles, Ethan J., and Dalsgaard, Bo

Subjects
POLLEN, COMPETITION (Biology), RESOURCE availability (Ecology), PLANT reproduction, ENDANGERED species
Abstract

This article explores the effects of hurricanes on the relationship between plants and pollinators in the Caribbean. Specifically, it examines the impact of Hurricane Maria on the mutualism between two species of Heliconia plants and the purple-throated carib hummingbird. Before the hurricane, this mutualism was highly specialized, but afterwards, other hummingbird species and a generalized passerine pollinator began visiting the Heliconia flowers at similar rates. This suggests that the population decline of the purple-throated carib allowed for increased visitation by other species, leading to a breakdown in competitive exclusion. The study also raises concerns about the conservation of these relationships in the face of increasing hurricane frequency and intensity due to global warming. [Extracted from the article]

Published
2024
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16. Insights from two decades of the Student Conference on Conservation Science

Author

Geldmann, Jonas, Alves-Pinto, Helena, Amano, Tatsuya, Bartlett, Harriet, Christie, Alec P., Collas, Lydia, Cooke, Sophia C., Correa, Roberto, Cripps, Imogen, Doherty, Anya, Finch, Tom, Garnett, Emma E., Hua, Fangyuan, Jones, Julia Patricia Gordon, Kasoar, Tim, MacFarlane, Douglas, Martin, Philip A., Mukherjee, Nibedita, Mumby, Hannah S., Payne, Charlotte, Petrovan, Silviu O., Rocha, Ricardo, Russell, Kirsten, Simmons, Benno I., Wauchope, Hannah S., Worthington, Thomas A., Trevelyan, Rosie, Green, Rhys, and Balmford, Andrew

Published
2020
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17. The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project.

Author

Hudson, Lawrence N, Newbold, Tim, Contu, Sara, Hill, Samantha LL, Lysenko, Igor, De Palma, Adriana, Phillips, Helen RP, Alhusseini, Tamera I, Bedford, Felicity E, Bennett, Dominic J, Booth, Hollie, Burton, Victoria J, Chng, Charlotte WT, Choimes, Argyrios, Correia, David LP, Day, Julie, Echeverría-Londoño, Susy, Emerson, Susan R, Gao, Di, Garon, Morgan, Harrison, Michelle LK, Ingram, Daniel J, Jung, Martin, Kemp, Victoria, Kirkpatrick, Lucinda, Martin, Callum D, Pan, Yuan, Pask-Hale, Gwilym D, Pynegar, Edwin L, Robinson, Alexandra N, Sanchez-Ortiz, Katia, Senior, Rebecca A, Simmons, Benno I, White, Hannah J, Zhang, Hanbin, Aben, Job, Abrahamczyk, Stefan, Adum, Gilbert B, Aguilar-Barquero, Virginia, Aizen, Marcelo A, Albertos, Belén, Alcala, EL, Del Mar Alguacil, Maria, Alignier, Audrey, Ancrenaz, Marc, Andersen, Alan N, Arbeláez-Cortés, Enrique, Armbrecht, Inge, Arroyo-Rodríguez, Víctor, Aumann, Tom, Axmacher, Jan C, Azhar, Badrul, Azpiroz, Adrián B, Baeten, Lander, Bakayoko, Adama, Báldi, András, Banks, John E, Baral, Sharad K, Barlow, Jos, Barratt, Barbara IP, Barrico, Lurdes, Bartolommei, Paola, Barton, Diane M, Basset, Yves, Batáry, Péter, Bates, Adam J, Baur, Bruno, Bayne, Erin M, Beja, Pedro, Benedick, Suzan, Berg, Åke, Bernard, Henry, Berry, Nicholas J, Bhatt, Dinesh, Bicknell, Jake E, Bihn, Jochen H, Blake, Robin J, Bobo, Kadiri S, Bóçon, Roberto, Boekhout, Teun, Böhning-Gaese, Katrin, Bonham, Kevin J, Borges, Paulo AV, Borges, Sérgio H, Boutin, Céline, Bouyer, Jérémy, Bragagnolo, Cibele, Brandt, Jodi S, Brearley, Francis Q, Brito, Isabel, Bros, Vicenç, Brunet, Jörg, Buczkowski, Grzegorz, Buddle, Christopher M, Bugter, Rob, Buscardo, Erika, Buse, Jörn, Cabra-García, Jimmy, Cáceres, Nilton C, and Cagle, Nicolette L

Subjects
data sharing, global biodiversity modeling, global change, habitat destruction, land use, Ecology, Evolutionary Biology
Abstract

The PREDICTS project-Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)-has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity.

Published
2017

24. Ten-year assessment of the 100 priority questions for global biodiversity conservation

Author

Jucker, Tommaso, Wintle, Bonnie, Shackelford, Gorm, Bocquillon, Pierre, Geffert, Jan Laurens, Kasoar, Tim, Kovacs, Eszter, Mumby, Hannah S., Orland, Chloé, Schleicher, Judith, Tew, Eleanor R., Zabala, Aiora, Amano, Tatsuya, Bell, Alexandra, Bongalov, Boris, Chambers, Josephine M., Corrigan, Colleen, Durán, América P., Duvic-Paoli, Leslie-Anne, Emilson, Caroline, Emilson, Erik J.S., da Silva, Jéssica Fonseca, Garnett, Emma E., Green, Elizabeth J., Guth, Miriam K., Hacket-Pain, Andrew, Hinsley, Amy, Igea, Javier, Kunz, Martina, Luke, Sarah H., Lynam, William, Martin, Philip A., Nunes, Matheus H., Ockendon, Nancy, Pavitt, Aly, Payne, Charlotte L.R., Plutshack, Victoria, Rademacher, Tim T., Robertson, Rebecca J., Rose, David C., Serban, Anca, Simmons, Benno I., Tayleur, Catherine, Wordley, Claire F.R., and Mukherjee, Nibedita

Published
2018

27. Pressure to publish introduces large‐language model risks.

Author

Johnson, Thomas F., Simmons, Benno I., Millard, Joseph, Strydom, Tanya, Danet, Alain, Sweeny, Amy R., and Evans, Luke C.

Subjects
ACADEMIC employment, RESEARCH personnel, COMPUTER hacking
Abstract

Large‐language models (LLMs) have the potential to accelerate research in ecology and evolution, cultivating new insights and innovation. However, whilst revelling in the plethora of opportunities, researchers need to consider that LLM use could also introduce risks.An important piece of context underpinning this perspective is the pressure to publish, where research careers are defined, at least partly, by publication metrics like number of papers, impact factor, citations etc. Coupled with academic employment insecurity, especially during early career, researchers may reason that LLMs are a low‐risk and high‐reward tool for publication.However, this pressure to publish can introduce risks if LLMs are used as a shortcut to game publication metrics instead of a tool to support true innovation. These risks may ultimately reduce research quality, stifle researcher development and incur reputational damage for researchers and the entire scientific record.We conclude with a series of recommendations to mitigate the magnitude of these risks and encourage researchers to apply caution whilst maximising LLM potential. [ABSTRACT FROM AUTHOR]

Published
2024
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28. Pollination supply models from a local to global scale

Author

Giménez-García, Angel, primary, Allen-Perkins, Alfonso, additional, Bartomeus, Ignasi, additional, Balbi, Stefano, additional, Knapp, Jessica L., additional, Hevia, Violeta, additional, Woodcock, Ben Alex, additional, Smagghe, Guy, additional, Miñarro, Marcos, additional, Eeraerts, Maxime, additional, Colville, Jonathan F., additional, Hipólito, Juliana, additional, Cavigliasso, Pablo, additional, Nates-Parra, Guiomar, additional, Herrera, José M., additional, Cusser, Sarah, additional, Simmons, Benno I., additional, Wolters, Volkmar, additional, Jha, Shalene, additional, Freitas, Breno M., additional, Horgan, Finbarr G., additional, Artz, Derek R., additional, Sidhu, C. Sheena, additional, Otieno, Mark, additional, Boreux, Virginie, additional, Biddinger, David J., additional, Klein, Alexandra-Maria, additional, Joshi, Neelendra K., additional, Stewart, Rebecca I. A., additional, Albrecht, Matthias, additional, Nicholson, Charlie C., additional, O'Reilly, Alison D., additional, Crowder, David William, additional, Burns, Katherine L. W., additional, Nabaes Jodar, Diego Nicolás, additional, Garibaldi, Lucas Alejandro, additional, Sutter, Louis, additional, Dupont, Yoko L., additional, Dalsgaard, Bo, additional, da Encarnação Coutinho, Jeferson Gabriel, additional, Lázaro, Amparo, additional, Andersson, Georg K. S., additional, Raine, Nigel E., additional, Krishnan, Smitha, additional, Dainese, Matteo, additional, van der Werf, Wopke, additional, Smith, Henrik G., additional, and Magrach, Ainhoa, additional

Published
2023
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30. Author Correction: The environmental costs and benefits of high-yield farming

Author

Balmford, Andrew, Amano, Tatsuya, Bartlett, Harriet, Chadwick, Dave, Collins, Adrian, Edwards, David, Field, Rob, Garnsworthy, Philip, Green, Rhys, Smith, Pete, Waters, Helen, Whitmore, Andrew, Broom, Donald M., Chara, Julian, Finch, Tom, Garnett, Emma, Gathorne-Hardy, Alfred, Hernandez-Medrano, Juan, Herrero, Mario, Hua, Fangyuan, Latawiec, Agnieszka, Misselbrook, Tom, Phalan, Ben, Simmons, Benno I., Takahashi, Taro, Vause, James, Ermgassen, Erasmus zu, and Eisner, Rowan

Published
2019
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31. The environmental costs and benefits of high-yield farming

Author

Balmford, Andrew, Amano, Tatsuya, Bartlett, Harriet, Chadwick, Dave, Collins, Adrian, Edwards, David, Field, Rob, Garnsworthy, Philip, Green, Rhys, Smith, Pete, Waters, Helen, Whitmore, Andrew, Broom, Donald M., Chara, Julian, Finch, Tom, Garnett, Emma, Gathorne-Hardy, Alfred, Hernandez-Medrano, Juan, Herrero, Mario, Hua, Fangyuan, Latawiec, Agnieszka, Misselbrook, Tom, Phalan, Ben, Simmons, Benno I., Takahashi, Taro, Vause, James, zu Ermgassen, Erasmus, and Eisner, Rowan

Published
2018
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32. Rapid monitoring of ecological persistence

Author

Song, Chuliang, primary, Simmons, Benno I., additional, Fortin, Marie-Josée, additional, Gonzalez, Andrew, additional, Kaiser-Bunbury, Christopher N., additional, and Saavedra, Serguei, additional

Published
2023
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33. Has land use pushed terrestrial biodiversity beyond the planetary boundary? A global assessment

Author

Newbold, Tim, Hudson, Lawrence N., Arnell, Andrew P., Contu, Sara, De Palma, Adriana, Ferrier, Simon, Hill, Samantha L. L., Hoskins, Andrew J., Lysenko, Igor, Phillips, Helen R. P., Burton, Victoria J., Chng, Charlotte W. T., Emerson, Susan, Di, Gao, Pask-Hale, Gwilym, Hutton, Jon, Jung, Martin, Sanchez-Ortiz, Katia, Simmons, Benno I., Whitmee, Sarah, Zhang, Hanbin, Scharlemann, Jörn P. W., and Purvis, Andy

Published
2016

34. Pollination supply models from a local to global scale

Author

Giménez-García, Angel, Allen-Perkins, Alfonso, Bartomeus, Ignasi, Balbi, Stefano, Knapp, Jessica L., Hevia, Violeta, Woodcock, Ben Alex, Smagghe, Guy, Miñarro, Marcos, Eeraerts, Maxime, Colville, Jonathan F., Hipólito, Juliana, Cavigliasso, Pablo, Nates-Parra, Guiomar, Herrera, José M., Cusser, Sarah, Simmons, Benno I., Wolters, Volkmar, Jha, Shalene, Freitas, Breno M., Horgan, Finbarr G., Artz, Derek R., Sidhu, C. Sheena, Otieno, Mark, Boreux, Virginie, Biddinger, David J., Klein, Alexandra-Maria, Joshi, Neelendra K., Stewart, Rebecca I.A., Albrecht, Matthias, Nicholson, Charlie C., O'Reilly, Alison D., Crowder, David William, Burns, Katherine L.W., Nabaes Jodar, Diego Nicolás, Garibaldi, Lucas Alejandro, Sutter, Louis, Dupont, Yoko L., Dalsgaard, Bo, da Encarnação Coutinho, Jeferson Gabriel, Lázaro, Amparo, Andersson, Georg K.S., Raine, Nigel E., Krishnan, Smitha, Dainese, Matteo, van der Werf, Wopke, Smith, Henrik G., Magrach, Ainhoa, Giménez-García, Angel, Allen-Perkins, Alfonso, Bartomeus, Ignasi, Balbi, Stefano, Knapp, Jessica L., Hevia, Violeta, Woodcock, Ben Alex, Smagghe, Guy, Miñarro, Marcos, Eeraerts, Maxime, Colville, Jonathan F., Hipólito, Juliana, Cavigliasso, Pablo, Nates-Parra, Guiomar, Herrera, José M., Cusser, Sarah, Simmons, Benno I., Wolters, Volkmar, Jha, Shalene, Freitas, Breno M., Horgan, Finbarr G., Artz, Derek R., Sidhu, C. Sheena, Otieno, Mark, Boreux, Virginie, Biddinger, David J., Klein, Alexandra-Maria, Joshi, Neelendra K., Stewart, Rebecca I.A., Albrecht, Matthias, Nicholson, Charlie C., O'Reilly, Alison D., Crowder, David William, Burns, Katherine L.W., Nabaes Jodar, Diego Nicolás, Garibaldi, Lucas Alejandro, Sutter, Louis, Dupont, Yoko L., Dalsgaard, Bo, da Encarnação Coutinho, Jeferson Gabriel, Lázaro, Amparo, Andersson, Georg K.S., Raine, Nigel E., Krishnan, Smitha, Dainese, Matteo, van der Werf, Wopke, Smith, Henrik G., and Magrach, Ainhoa

Abstract

Ecological intensification has been embraced with great interest by the academic sector but is still rarely taken up by farmers because monitoring the state of different ecological functions is not straightforward. Modelling tools can represent a more accessible alternative of measuring ecological functions, which could help promote their use amongst farmers and other decision-makers. In the case of crop pollination, modelling has traditionally followed either a mechanistic or a data-driven approach. Mechanistic models simulate the habitat preferences and foraging behaviour of pollinators, while data-driven models associate georeferenced variables with real observations. Here, we test these two approaches to predict pollination supply and validate these predictions using data from a newly released global dataset on pollinator visitation rates to different crops. We use one of the most extensively used models for the mechanistic approach, while for the data-driven approach, we select from among a comprehensive set of state-of-the-art machine-learning models. Moreover, we explore a mixed approach, where data-derived inputs, rather than expert assessment, inform the mechanistic model. We find that, at a global scale, machine-learning models work best, offering a rank correlation coefficient between predictions and observations of pollinator visitation rates of 0.56. In turn, the mechanistic model works moderately well at a global scale for wild bees other than bumblebees. Biomes characterized by temperate or Mediterranean forests show a better agreement between mechanistic model predictions and observations, probably due to more comprehensive ecological knowledge and therefore better parameterization of input variables for these biomes. This study highlights the challenges of transferring input variables across multiple biomes, as expected given the different composition of species in different biomes. Our results provide clear guidance on which pollination supply mode

Published
2023

35. Pollination supply models from a local to global scale

Author

Agencia Estatal de Investigación (España), Eusko Jaurlaritza, Comunidad de Madrid, European Commission, Universidad Politécnica de Madrid, Research Foundation - Flanders, Ministerio de Economía y Competitividad (España), Ministerio de Universidades (España), Fundação para a Ciência e a Tecnologia (Portugal), Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil), Department of Agriculture (US), German Research Foundation, Irish Research Council, Swedish Research Council, Giménez-García, Ángel, Allen-Perkins, Alfonso, Bartomeus, Ignasi, Balbi, Stefano, Knapp, Jessica L., Hevia, Violeta, Woodcock, Ben Alex, Smagghe, Guy, Miñarro, Marcos, Eeraerts, Maxime, Colville, Jonathan F., Hipólito, Juliana, Cavigliasso, Pablo, Nates-Parra, Guiomar, Herrera, José M., Cusser, Sarah, Simmons, Benno I., Wolters, Volkmar, Jha, Shalene, Freitas, Breno M., Horgan, Finbarr G., Artz, Derek R., Sidhu, C. Sheena, Otieno, Mark, Boreux, Virginie, Biddinger, David J., Klein, Alexandra Maria, Joshi, Neelendra K., Stewart, Rebecca I.A., Albrecht, Matthias, Nicholson, Charlie C., O'Reilly, Alison D., Crowder, David William, Burns, Katherine L.W., Nabaes Jodar, Diego Nicolás, Garibaldi, Lucas Alejandro, Sutter, Louis, Dupont, Yoko L., Dalsgaard, Bo, Da Encarnação Coutinho, Jeferson Gabriel, Lázaro, Amparo, Andersson, Georg K. S., Raine, Nigel E., Krishnan, Smitha, Dainese, Matteo, Van Der Werf, Wopke, Smith, Henrik G., Magrach, Ainhoa, Agencia Estatal de Investigación (España), Eusko Jaurlaritza, Comunidad de Madrid, European Commission, Universidad Politécnica de Madrid, Research Foundation - Flanders, Ministerio de Economía y Competitividad (España), Ministerio de Universidades (España), Fundação para a Ciência e a Tecnologia (Portugal), Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil), Department of Agriculture (US), German Research Foundation, Irish Research Council, Swedish Research Council, Giménez-García, Ángel, Allen-Perkins, Alfonso, Bartomeus, Ignasi, Balbi, Stefano, Knapp, Jessica L., Hevia, Violeta, Woodcock, Ben Alex, Smagghe, Guy, Miñarro, Marcos, Eeraerts, Maxime, Colville, Jonathan F., Hipólito, Juliana, Cavigliasso, Pablo, Nates-Parra, Guiomar, Herrera, José M., Cusser, Sarah, Simmons, Benno I., Wolters, Volkmar, Jha, Shalene, Freitas, Breno M., Horgan, Finbarr G., Artz, Derek R., Sidhu, C. Sheena, Otieno, Mark, Boreux, Virginie, Biddinger, David J., Klein, Alexandra Maria, Joshi, Neelendra K., Stewart, Rebecca I.A., Albrecht, Matthias, Nicholson, Charlie C., O'Reilly, Alison D., Crowder, David William, Burns, Katherine L.W., Nabaes Jodar, Diego Nicolás, Garibaldi, Lucas Alejandro, Sutter, Louis, Dupont, Yoko L., Dalsgaard, Bo, Da Encarnação Coutinho, Jeferson Gabriel, Lázaro, Amparo, Andersson, Georg K. S., Raine, Nigel E., Krishnan, Smitha, Dainese, Matteo, Van Der Werf, Wopke, Smith, Henrik G., and Magrach, Ainhoa

Abstract

Ecological intensification has been embraced with great interest by the academic sector but is still rarely taken up by farmers because monitoring the state of different ecological functions is not straightforward. Modelling tools can represent a more accessible alternative of measuring ecological functions, which could help promote their use amongst farmers and other decision-makers. In the case of crop pollination, modelling has traditionally followed either a mechanistic or a data-driven approach. Mechanistic models simulate the habitat preferences and foraging behaviour of pollinators, while data-driven models associate georeferenced variables with real observations. Here, we test these two approaches to predict pollination supply and validate these predictions using data from a newly released global dataset on pollinator visitation rates to different crops. We use one of the most extensively used models for the mechanistic approach, while for the data-driven approach, we select from among a comprehensive set of state-of-The-Art machine-learning models. Moreover, we explore a mixed approach, where data-derived inputs, rather than expert assessment, inform the mechanistic model. We find that, at a global scale, machine-learning models work best, offering a rank correlation coefficient between predictions and observations of pollinator visitation rates of 0.56. In turn, the mechanistic model works moderately well at a global scale for wild bees other than bumblebees. Biomes characterized by temperate or Mediterranean forests show a better agreement between mechanistic model predictions and observations, probably due to more comprehensive ecological knowledge and therefore better parameterization of input variables for these biomes. This study highlights the challenges of transferring input variables across multiple biomes, as expected given the different composition of species in different biomes. Our results provide clear guidance on which pollination supply mode

Published
2023

37. Rapid monitoring of ecological persistence.

Author

Chuliang Song, Simmons, Benno I., Fortin, Marie-Josée, Gonzalez, Andrew, Kaiser-Bunbury, Christopher N., and Saavedra, Serguei

Subjects
*ENVIRONMENTAL monitoring, *BIOTIC communities, *ECOSYSTEM health, *ENDANGERED species, *POPULATION dynamics
Abstract

Effective conservation of ecological communities requires accurate and up-to-date information about whether species are persisting or declining to extinction. The persistence of an ecological community is supported by its underlying network of species interactions. While the persistence of the network supporting the whole community is the most relevant scale for conservation, in practice, only small subsets of these networks can be monitored. There is therefore an urgent need to establish links between the small snapshots of data conservationists can collect, and the “big picture” conclusions about ecosystem health demanded by policymakers, scientists, and societies. Here, we show that the persistence of small subnetworks (motifs) in isolation—that is, their persistence when considered separately from the larger network of which they are a part—is a reliable probabilistic indicator of the persistence of the network as a whole. Our methods show that it is easier to detect if an ecological community is not persistent than if it is persistent, allowing for rapid detection of extinction risk in endangered systems. Our results also justify the common practice of predicting ecological persistence from incomplete surveys by simulating the population dynamics of sampled subnetworks. Empirically, we show that our theoretical predictions are supported by data on invaded networks in restored and unrestored areas, even in the presence of environmental variability. Our work suggests that coordinated action to aggregate information from incomplete sampling can provide a means to rapidly assess the persistence of entire ecological networks and the expected success of restoration strategies. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
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40. CropPol:A dynamic, open and global database on crop pollination

Author

Allen‐Perkins, Alfonso, Magrach, Ainhoa, Dainese, Matteo, Garibaldi, Lucas A., Kleijn, David, Rader, Romina, Reilly, James R., Winfree, Rachael, Lundin, Ola, McGrady, Carley M., Brittain, Claire, Biddinger, David J., Artz, Derek R., Elle, Elizabeth, Hoffman, George, Ellis, James D., Daniels, Jaret, Gibbs, Jason, Campbell, Joshua W., Brokaw, Julia, Wilson, Julianna K., Mason, Keith, Ward, Kimiora L., Gundersen, Knute B., Bobiwash, Kyle, Gut, Larry, Rowe, Logan M., Boyle, Natalie K., Williams, Neal M., Joshi, Neelendra K., Rothwell, Nikki, Gillespie, Robert L., Isaacs, Rufus, Fleischer, Shelby J., Peterson, Stephen S., Rao, Sujaya, Pitts‐Singer, Theresa L., Fijen, Thijs, Boreux, Virginie, Rundlöf, Maj, Viana, Blandina Felipe, Klein, Alexandra‐Maria, Smith, Henrik G., Bommarco, Riccardo, Carvalheiro, Luísa G., Ricketts, Taylor H., Ghazoul, Jaboury, Krishnan, Smitha, Benjamin, Faye E., Loureiro, João, Castro, Sílvia, Raine, Nigel E., Groot, Gerard Arjen, Horgan, Finbarr G., Hipólito, Juliana, Smagghe, Guy, Meeus, Ivan, Eeraerts, Maxime, Potts, Simon G., Kremen, Claire, García, Daniel, Miñarro, Marcos, Crowder, David W., Pisanty, Gideon, Mandelik, Yael, Vereecken, Nicolas J., Leclercq, Nicolas, Weekers, Timothy, Lindstrom, Sandra A. M., Stanley, Dara A., Zaragoza‐Trello, Carlos, Nicholson, Charlie C., Scheper, Jeroen, Rad, Carlos, Marks, Evan A. N., Mota, Lucie, Danforth, Bryan, Park, Mia, Bezerra, Antônio Diego M., Freitas, Breno M., Mallinger, Rachel E., Oliveira da Silva, Fabiana, Willcox, Bryony, Ramos, Davi L., D. da Silva e Silva, Felipe, Lázaro, Amparo, Alomar, David, González‐Estévez, Miguel A., Taki, Hisatomo, Cariveau, Daniel P., Garratt, Michael P. D., Nabaes Jodar, Diego N., Stewart, Rebecca I. A., Ariza, Daniel, Pisman, Matti, Lichtenberg, Elinor M., Schüepp, Christof, Herzog, Felix, Entling, Martin H., Dupont, Yoko L., Michener, Charles D., Daily, Gretchen C., Ehrlich, Paul R., Burns, Katherine L. W., Vilà, Montserrat, Robson, Andrew, Howlett, Brad, Blechschmidt, Leah, Jauker, Frank, Schwarzbach, Franziska, Nesper, Maike, Diekötter, Tim, Wolters, Volkmar, Castro, Helena, Gaspar, Hugo, Nault, Brian A., Badenhausser, Isabelle, Petersen, Jessica D., Tscharntke, Teja, Bretagnolle, Vincent, Willis Chan, D. Susan, Chacoff, Natacha, Andersson, Georg K. S., Jha, Shalene, Colville, Jonathan F., Veldtman, Ruan, Coutinho, Jeferson, Bianchi, Felix J. J. A., Sutter, Louis, Albrecht, Matthias, Jeanneret, Philippe, Zou, Yi, Averill, Anne L., Saez, Agustin, Sciligo, Amber R., Vergara, Carlos H., Bloom, Elias H., Oeller, Elisabeth, Badano, Ernesto I., Loeb, Gregory M., Grab, Heather, Ekroos, Johan, Gagic, Vesna, Cunningham, Saul A., Åström, Jens, Cavigliasso, Pablo, Trillo, Alejandro, Classen, Alice, Mauchline, Alice L., Montero‐Castaño, Ana, Wilby, Andrew, Woodcock, Ben A., Sidhu, C. Sheena, Steffan‐Dewenter, Ingolf, Vogiatzakis, Ioannis N., Herrera, José M., Otieno, Mark, Gikungu, Mary W., Cusser, Sarah J., Nauss, Thomas, Nilsson, Lovisa, Knapp, Jessica, Ortega‐Marcos, Jorge J., González, José A., Osborne, Juliet L., Blanche, Rosalind, Shaw, Rosalind F., Hevia, Violeta, Stout, Jane, Arthur, Anthony D., Blochtein, Betina, Szentgyorgyi, Hajnalka, Li, Jin, Mayfield, Margaret M., Woyciechowski, Michał, Nunes‐Silva, Patrícia, Halinski de Oliveira, Rosana, Henry, Steve, Simmons, Benno I., Dalsgaard, Bo, Hansen, Katrine, Sritongchuay, Tuanjit, O'Reilly, Alison D., Chamorro García, Fermín José, Nates Parra, Guiomar, Magalhães Pigozo, Camila, Bartomeus, Ignasi, Allen‐Perkins, Alfonso, Magrach, Ainhoa, Dainese, Matteo, Garibaldi, Lucas A., Kleijn, David, Rader, Romina, Reilly, James R., Winfree, Rachael, Lundin, Ola, McGrady, Carley M., Brittain, Claire, Biddinger, David J., Artz, Derek R., Elle, Elizabeth, Hoffman, George, Ellis, James D., Daniels, Jaret, Gibbs, Jason, Campbell, Joshua W., Brokaw, Julia, Wilson, Julianna K., Mason, Keith, Ward, Kimiora L., Gundersen, Knute B., Bobiwash, Kyle, Gut, Larry, Rowe, Logan M., Boyle, Natalie K., Williams, Neal M., Joshi, Neelendra K., Rothwell, Nikki, Gillespie, Robert L., Isaacs, Rufus, Fleischer, Shelby J., Peterson, Stephen S., Rao, Sujaya, Pitts‐Singer, Theresa L., Fijen, Thijs, Boreux, Virginie, Rundlöf, Maj, Viana, Blandina Felipe, Klein, Alexandra‐Maria, Smith, Henrik G., Bommarco, Riccardo, Carvalheiro, Luísa G., Ricketts, Taylor H., Ghazoul, Jaboury, Krishnan, Smitha, Benjamin, Faye E., Loureiro, João, Castro, Sílvia, Raine, Nigel E., Groot, Gerard Arjen, Horgan, Finbarr G., Hipólito, Juliana, Smagghe, Guy, Meeus, Ivan, Eeraerts, Maxime, Potts, Simon G., Kremen, Claire, García, Daniel, Miñarro, Marcos, Crowder, David W., Pisanty, Gideon, Mandelik, Yael, Vereecken, Nicolas J., Leclercq, Nicolas, Weekers, Timothy, Lindstrom, Sandra A. M., Stanley, Dara A., Zaragoza‐Trello, Carlos, Nicholson, Charlie C., Scheper, Jeroen, Rad, Carlos, Marks, Evan A. N., Mota, Lucie, Danforth, Bryan, Park, Mia, Bezerra, Antônio Diego M., Freitas, Breno M., Mallinger, Rachel E., Oliveira da Silva, Fabiana, Willcox, Bryony, Ramos, Davi L., D. da Silva e Silva, Felipe, Lázaro, Amparo, Alomar, David, González‐Estévez, Miguel A., Taki, Hisatomo, Cariveau, Daniel P., Garratt, Michael P. D., Nabaes Jodar, Diego N., Stewart, Rebecca I. A., Ariza, Daniel, Pisman, Matti, Lichtenberg, Elinor M., Schüepp, Christof, Herzog, Felix, Entling, Martin H., Dupont, Yoko L., Michener, Charles D., Daily, Gretchen C., Ehrlich, Paul R., Burns, Katherine L. W., Vilà, Montserrat, Robson, Andrew, Howlett, Brad, Blechschmidt, Leah, Jauker, Frank, Schwarzbach, Franziska, Nesper, Maike, Diekötter, Tim, Wolters, Volkmar, Castro, Helena, Gaspar, Hugo, Nault, Brian A., Badenhausser, Isabelle, Petersen, Jessica D., Tscharntke, Teja, Bretagnolle, Vincent, Willis Chan, D. Susan, Chacoff, Natacha, Andersson, Georg K. S., Jha, Shalene, Colville, Jonathan F., Veldtman, Ruan, Coutinho, Jeferson, Bianchi, Felix J. J. A., Sutter, Louis, Albrecht, Matthias, Jeanneret, Philippe, Zou, Yi, Averill, Anne L., Saez, Agustin, Sciligo, Amber R., Vergara, Carlos H., Bloom, Elias H., Oeller, Elisabeth, Badano, Ernesto I., Loeb, Gregory M., Grab, Heather, Ekroos, Johan, Gagic, Vesna, Cunningham, Saul A., Åström, Jens, Cavigliasso, Pablo, Trillo, Alejandro, Classen, Alice, Mauchline, Alice L., Montero‐Castaño, Ana, Wilby, Andrew, Woodcock, Ben A., Sidhu, C. Sheena, Steffan‐Dewenter, Ingolf, Vogiatzakis, Ioannis N., Herrera, José M., Otieno, Mark, Gikungu, Mary W., Cusser, Sarah J., Nauss, Thomas, Nilsson, Lovisa, Knapp, Jessica, Ortega‐Marcos, Jorge J., González, José A., Osborne, Juliet L., Blanche, Rosalind, Shaw, Rosalind F., Hevia, Violeta, Stout, Jane, Arthur, Anthony D., Blochtein, Betina, Szentgyorgyi, Hajnalka, Li, Jin, Mayfield, Margaret M., Woyciechowski, Michał, Nunes‐Silva, Patrícia, Halinski de Oliveira, Rosana, Henry, Steve, Simmons, Benno I., Dalsgaard, Bo, Hansen, Katrine, Sritongchuay, Tuanjit, O'Reilly, Alison D., Chamorro García, Fermín José, Nates Parra, Guiomar, Magalhães Pigozo, Camila, and Bartomeus, Ignasi

Abstract

Seventy five percent of the world's food crops benefit from insect pollination. Hence, there has been increased interest in how global change drivers impact this critical ecosystem service. Because standardized data on crop pollination are rarely available, we are limited in our capacity to understand the variation in pollination benefits to crop yield, as well as to anticipate changes in this service, develop predictions, and inform management actions. Here, we present CropPol, a dynamic, open, and global database on crop pollination. It contains measurements recorded from 202 crop studies, covering 3,394 field observations, 2,552 yield measurements (i.e., berry mass, number of fruits, and fruit density [kg/ha], among others), and 47,752 insect records from 48 commercial crops distributed around the globe. CropPol comprises 32 of the 87 leading global crops and commodities that are pollinator dependent. Malus domestica is the most represented crop (32 studies), followed by Brassica napus (22 studies), Vaccinium corymbosum (13 studies), and Citrullus lanatus (12 studies). The most abundant pollinator guilds recorded are honey bees (34.22% counts), bumblebees (19.19%), flies other than Syrphidae and Bombyliidae (13.18%), other wild bees (13.13%), beetles (10.97%), Syrphidae (4.87%), and Bombyliidae (0.05%). Locations comprise 34 countries distributed among Europe (76 studies), North America (60), Latin America and the Caribbean (29), Asia (20), Oceania (10), and Africa (7). Sampling spans three decades and is concentrated on 2001–2005 (21 studies), 2006–2010 (40), 2011–2015 (88), and 2016–2020 (50). This is the most comprehensive open global data set on measurements of crop flower visitors, crop pollinators and pollination to date, and we encourage researchers to add more datasets to this database in the future. This data set is released for non-commercial use only. Credits should be given to this paper (i.e., proper citation), and the products generated with this da

Published
2022

41. Quantifying Earth system interactions for sustainable food production via expert elicitation

Author

Spatial Ecology and Global Change, Environmental Sciences, Chrysafi, Anna, Virkki, Vili, Jalava, Mika, Sandström, Vilma, Piipponen, Johannes, Porkka, Miina, Lade, Steven J., La Mere, Kelsey, Wang-Erlandsson, Lan, Scherer, Laura, Andersen, Lauren S., Bennett, Elena, Brauman, Kate A., Cooper, Gregory S., De Palma, Adriana, Döll, Petra, Downing, Andrea S., DuBois, Timothy C., Fetzer, Ingo, Fulton, Elizabeth A., Gerten, Dieter, Jaafar, Hadi, Jägermeyr, Jonas, Jaramillo, Fernando, Jung, Martin, Kahiluoto, Helena, Lassaletta, Luis, Mackay, Anson W., Mason-D’Croz, Daniel, Mekonnen, Mesfin M., Nash, Kirsty L., Pastor, Amandine V., Ramankutty, Navin, Ridoutt, Brad, Siebert, Stefan, Simmons, Benno I., Staal, Arie, Sun, Zhongxiao, Tobian, Arne, Usubiaga-Liaño, Arkaitz, van der Ent, Ruud J., van Soesbergen, Arnout, Verburg, Peter H., Wada, Yoshihide, Zipper, Sam, Kummu, Matti, Spatial Ecology and Global Change, Environmental Sciences, Chrysafi, Anna, Virkki, Vili, Jalava, Mika, Sandström, Vilma, Piipponen, Johannes, Porkka, Miina, Lade, Steven J., La Mere, Kelsey, Wang-Erlandsson, Lan, Scherer, Laura, Andersen, Lauren S., Bennett, Elena, Brauman, Kate A., Cooper, Gregory S., De Palma, Adriana, Döll, Petra, Downing, Andrea S., DuBois, Timothy C., Fetzer, Ingo, Fulton, Elizabeth A., Gerten, Dieter, Jaafar, Hadi, Jägermeyr, Jonas, Jaramillo, Fernando, Jung, Martin, Kahiluoto, Helena, Lassaletta, Luis, Mackay, Anson W., Mason-D’Croz, Daniel, Mekonnen, Mesfin M., Nash, Kirsty L., Pastor, Amandine V., Ramankutty, Navin, Ridoutt, Brad, Siebert, Stefan, Simmons, Benno I., Staal, Arie, Sun, Zhongxiao, Tobian, Arne, Usubiaga-Liaño, Arkaitz, van der Ent, Ruud J., van Soesbergen, Arnout, Verburg, Peter H., Wada, Yoshihide, Zipper, Sam, and Kummu, Matti

Published
2022

42. Plant–frugivore interactions across the Caribbean islands:Modularity, invader complexes and the importance of generalist species

Author

Vollstädt, Maximilian G. R., Galetti, Mauro, Kaiser-Bunbury, Christopher N., Simmons, Benno I., Gonçalves, Fernando, Morales-Pérez, Alcides L., Navarro, Luis, Tarazona-Tubens, Fabio L., Schubert, Spencer, Carlo, Tomas, Salazar, Jackeline, Faife-Cabrera, Michel, Strong, Allan, Madden, Hannah, Mitchell, Adam, Dalsgaard, Bo, Vollstädt, Maximilian G. R., Galetti, Mauro, Kaiser-Bunbury, Christopher N., Simmons, Benno I., Gonçalves, Fernando, Morales-Pérez, Alcides L., Navarro, Luis, Tarazona-Tubens, Fabio L., Schubert, Spencer, Carlo, Tomas, Salazar, Jackeline, Faife-Cabrera, Michel, Strong, Allan, Madden, Hannah, Mitchell, Adam, and Dalsgaard, Bo

Abstract

Aim: Mutualistic interactions between plants and animals are fundamental for the maintenance of natural communities and the ecosystem services they provide. However, particularly in human-dominated island ecosystems, introduced species may alter mutualistic interactions. Based on an extensive dataset of plant–frugivore interactions, we mapped and analysed a meta-network across the Caribbean archipelago. Specifically, we searched for subcommunity structure (modularity) and identified the types of species facilitating the integration of introduced species in the Caribbean meta-network. Location: Caribbean archipelago (Lucayan archipelago, Greater Antilles, Lesser Antilles). Methods: We reviewed published scientific literature, unpublished theses and other nonpeer-reviewed sources to compile an extensive dataset of plant–frugivore interactions. We visualized spatial patterns and conducted a modularity analysis of the cross-island meta-network. We also examined which species were most likely to interact with introduced species: (1) endemic, nonendemic native or introduced species, and (2) generalized or specialized species. Results: We reported 3060 records of interactions between 486 plant and 178 frugivore species. The Caribbean meta-network was organized in 13 modules, driven by a combination of functional or taxonomic (modules dominated by certain groups of frugivores) and biogeographical (island-specific modules) mechanisms. Few introduced species or interaction pairs were shared across islands, suggesting little homogenization of the plant–frugivore meta-network at the regional scale. However, we found evidence of “invader complexes,” as introduced frugivores were more likely to interact with introduced plants than expected at random. Moreover, we found generalist species more likely to interact with introduced species than were specialized species. Main conclusions: These results demonstrate that generalist species and “invader complexes” may facilitate the in

Published
2022

43. CropPol: A dynamic, open and global database on crop pollination

Author

Belmont Forum, European Commission, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Netherlands Organization for Scientific Research, National Science Foundation (US), Allen, Alfonso, Magrach, Ainhoa, Dainese, Matteo, Garibaldi, Lucas A., Kleijn, David, Rader, Romina, Reilly, James R., Winfree, Rachael, Lundin, Ola, McGrady, Carley M., Brittain, Claire, Halinski, Rosana, Henry, Steve, Simmons, Benno I., Dalsgaard, Bo, Campbell, Joshua W., Hansen, Katrine, Mason, Keith, Ward, Kimiora L., Michener, Charles D., Gundersen, Knute B., Pisman, Matti, Bobiwash, Kyle, Gut, Larry, Rowe, Logan M., Boyle, Natalie K., Williams, Neal M., Joshi, Neelendra K., Rothwell, Nikki, Gillespie, Robert L., Isaacs, Rufus, Daily, Gretchen C., Lichtenberg, Elinor M., Fleischer, Shelby J., Peterson, Stephen S., Rao, Sujaya, Pitts-Singer, Theresa L., Fijen, Thijs, Boreux, Virginie, Rundlöf, Maj, Felipe Viana, Blandina, Klein, Alexandra‐Maria, Smith, Henrik G., Schüepp, Christoff, Ehrlich, Paul R., Bommarco, Riccardo, Carvalheiro, Luísa G., Ricketts, Taylor H., Ghazoul, Jaboury, Krishnan, Smitha, Benjamin, Faye E., Loureiro, João, Castro, Sílvia, Raine, Nigel E., Herzog, Felix, Arjen de Groot, Gerard, Burns, Katherine L. W., Horgan, Finbarr G., Hipólito, Juliana, Smagghe, Guy, Meeus, Ivan, Eeraerts, Maxime, Potts, Simon G., Kremen, Claire, Gómez García, Daniel, Entling, Martin H., Miñarro, Marcos, Crowder, David W., Vilà, Montserrat, Pisanty, Gideon, Mandelik, Yael, Vereecken, Nicolas J., Leclercq, Nicolas, Weekers, Timothy, Lindstrom, Sandra A.M., Stanley, Dara A., Dupont, Yoko L., Zaragoza-Trello, C., Nicholson, Charlie C., Scheper, Jeroen, Robson, Andrew, Rad, Carlos, Marks, Evan A. N., Mota, Lucie, Danforth, Bryan, Park, Mia, Bezerra, Antônio Diego M., Jauker, Frank, Freitas, Breno M., Mallinger, Rachel E., Silva, Fabiana Oliveira da, Willcox, Bryony, Howlett, Brad, Ramos, Davi L., Silva, Felipe D. da Silva e, Lázaro, Amparo, Alomar, David, González-Estévez, Miguel A., Schwarzbach, Franciska, Taki, Hisatomo, Cariveau, Daniel P., Garratt, Michael P. D., Nabaes Jodar, Diego Nicolás, Stewart, Rebecca I. A, Blechschmidt, Leah, Ariza, Daniel, Biddinger, David J., Nesper, Maike, Sritongchuay, Tuanjit, Diekötter, Tim, Wolters, Volkmar, Castro, Helena, Gaspar, Hugo, Nault, Brian A., Badenhausser, Isabelle, Petersen, Jessica D., Tscharntke, Teja, Bretagnolle, Vincent, Artz, Derek R., O'Reilly, Alison D., Willis Chan, D. Susan, Chacoff, Natacha P., Andersson, Georg K. S., Jha, Shalene, Colville, Jonathan F., Veldtman, Ruan, Coutinho, Jeferson, Bianchi, Felix J. J. A., Sutter, Louis, Albrecht, Matthias, Chamorro, Fermín José, Elle, Elizabeth, Jeanneret, Philippe, Zou, Yi, Averill, Anne, Sáez, Agustín, Sciligo, Amber R., Vergara, Carlos H., Bloom, Elias H., Oeller, Elisabeth, Badano, Ernesto I., Nates, Guiomar, Loeb, Gregory M., Hoffman, George, Grab, Heather, Ekroos, Johan, Gagic, Vesna, Cunningham, Saul A., Åström, Jens, Cavigliasso, Pablo, Trillo, Alejandro, Classen, Alice, Pigozo, Camila Magalhães, Mauchline, Alice L., Montero-Castaño, Ana, Ellis, James D., Wilby, Andrew, Woodcock, Ben A., Sidhu, C. Sheena, Steffan-Dewenter, Ingolf, Vogiatzakis, Ioannis N., Herrera, José M., Otieno, Mark, Bartomeus, Ignasi, Gikungu, Mary W., Cusser, Sarah J., Nauss, Thomas, Daniels, Jared, Nilsson, Lovisa, Knapp, Jessica, Ortega-Marcos, Jorge J., González, José A., Osborne, Juliet L., Blanche, Rosalind, Brokaw, Julia, Shaw, Rosalind F., Hevia, Violeta, Stout, Jane, Arthur, Anthony D., Gibbs, Jason, Blochtein, Betina, Szentgyorgyi, Hajnalka, Jin, Li, Mayfield, Margaret M., Woyciechowski, Michał, Wilson, Julianna K., Nunes-Silva, Patrícia, Belmont Forum, European Commission, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Netherlands Organization for Scientific Research, National Science Foundation (US), Allen, Alfonso, Magrach, Ainhoa, Dainese, Matteo, Garibaldi, Lucas A., Kleijn, David, Rader, Romina, Reilly, James R., Winfree, Rachael, Lundin, Ola, McGrady, Carley M., Brittain, Claire, Halinski, Rosana, Henry, Steve, Simmons, Benno I., Dalsgaard, Bo, Campbell, Joshua W., Hansen, Katrine, Mason, Keith, Ward, Kimiora L., Michener, Charles D., Gundersen, Knute B., Pisman, Matti, Bobiwash, Kyle, Gut, Larry, Rowe, Logan M., Boyle, Natalie K., Williams, Neal M., Joshi, Neelendra K., Rothwell, Nikki, Gillespie, Robert L., Isaacs, Rufus, Daily, Gretchen C., Lichtenberg, Elinor M., Fleischer, Shelby J., Peterson, Stephen S., Rao, Sujaya, Pitts-Singer, Theresa L., Fijen, Thijs, Boreux, Virginie, Rundlöf, Maj, Felipe Viana, Blandina, Klein, Alexandra‐Maria, Smith, Henrik G., Schüepp, Christoff, Ehrlich, Paul R., Bommarco, Riccardo, Carvalheiro, Luísa G., Ricketts, Taylor H., Ghazoul, Jaboury, Krishnan, Smitha, Benjamin, Faye E., Loureiro, João, Castro, Sílvia, Raine, Nigel E., Herzog, Felix, Arjen de Groot, Gerard, Burns, Katherine L. W., Horgan, Finbarr G., Hipólito, Juliana, Smagghe, Guy, Meeus, Ivan, Eeraerts, Maxime, Potts, Simon G., Kremen, Claire, Gómez García, Daniel, Entling, Martin H., Miñarro, Marcos, Crowder, David W., Vilà, Montserrat, Pisanty, Gideon, Mandelik, Yael, Vereecken, Nicolas J., Leclercq, Nicolas, Weekers, Timothy, Lindstrom, Sandra A.M., Stanley, Dara A., Dupont, Yoko L., Zaragoza-Trello, C., Nicholson, Charlie C., Scheper, Jeroen, Robson, Andrew, Rad, Carlos, Marks, Evan A. N., Mota, Lucie, Danforth, Bryan, Park, Mia, Bezerra, Antônio Diego M., Jauker, Frank, Freitas, Breno M., Mallinger, Rachel E., Silva, Fabiana Oliveira da, Willcox, Bryony, Howlett, Brad, Ramos, Davi L., Silva, Felipe D. da Silva e, Lázaro, Amparo, Alomar, David, González-Estévez, Miguel A., Schwarzbach, Franciska, Taki, Hisatomo, Cariveau, Daniel P., Garratt, Michael P. D., Nabaes Jodar, Diego Nicolás, Stewart, Rebecca I. A, Blechschmidt, Leah, Ariza, Daniel, Biddinger, David J., Nesper, Maike, Sritongchuay, Tuanjit, Diekötter, Tim, Wolters, Volkmar, Castro, Helena, Gaspar, Hugo, Nault, Brian A., Badenhausser, Isabelle, Petersen, Jessica D., Tscharntke, Teja, Bretagnolle, Vincent, Artz, Derek R., O'Reilly, Alison D., Willis Chan, D. Susan, Chacoff, Natacha P., Andersson, Georg K. S., Jha, Shalene, Colville, Jonathan F., Veldtman, Ruan, Coutinho, Jeferson, Bianchi, Felix J. J. A., Sutter, Louis, Albrecht, Matthias, Chamorro, Fermín José, Elle, Elizabeth, Jeanneret, Philippe, Zou, Yi, Averill, Anne, Sáez, Agustín, Sciligo, Amber R., Vergara, Carlos H., Bloom, Elias H., Oeller, Elisabeth, Badano, Ernesto I., Nates, Guiomar, Loeb, Gregory M., Hoffman, George, Grab, Heather, Ekroos, Johan, Gagic, Vesna, Cunningham, Saul A., Åström, Jens, Cavigliasso, Pablo, Trillo, Alejandro, Classen, Alice, Pigozo, Camila Magalhães, Mauchline, Alice L., Montero-Castaño, Ana, Ellis, James D., Wilby, Andrew, Woodcock, Ben A., Sidhu, C. Sheena, Steffan-Dewenter, Ingolf, Vogiatzakis, Ioannis N., Herrera, José M., Otieno, Mark, Bartomeus, Ignasi, Gikungu, Mary W., Cusser, Sarah J., Nauss, Thomas, Daniels, Jared, Nilsson, Lovisa, Knapp, Jessica, Ortega-Marcos, Jorge J., González, José A., Osborne, Juliet L., Blanche, Rosalind, Brokaw, Julia, Shaw, Rosalind F., Hevia, Violeta, Stout, Jane, Arthur, Anthony D., Gibbs, Jason, Blochtein, Betina, Szentgyorgyi, Hajnalka, Jin, Li, Mayfield, Margaret M., Woyciechowski, Michał, Wilson, Julianna K., and Nunes-Silva, Patrícia

Abstract

Seventy five percent of the world's food crops benefit from insect pollination. Hence, there has been increased interest in how global change drivers impact this critical ecosystem service. Because standardized data on crop pollination are rarely available, we are limited in our capacity to understand the variation in pollination benefits to crop yield, as well as to anticipate changes in this service, develop predictions, and inform management actions. Here, we present CropPol, a dynamic, open, and global database on crop pollination. It contains measurements recorded from 202 crop studies, covering 3,394 field observations, 2,552 yield measurements (i.e., berry mass, number of fruits, and fruit density [kg/ha], among others), and 47,752 insect records from 48 commercial crops distributed around the globe. CropPol comprises 32 of the 87 leading global crops and commodities that are pollinator dependent. Malus domestica is the most represented crop (32 studies), followed by Brassica napus (22 studies), Vaccinium corymbosum (13 studies), and Citrullus lanatus (12 studies). The most abundant pollinator guilds recorded are honey bees (34.22% counts), bumblebees (19.19%), flies other than Syrphidae and Bombyliidae (13.18%), other wild bees (13.13%), beetles (10.97%), Syrphidae (4.87%), and Bombyliidae (0.05%). Locations comprise 34 countries distributed among Europe (76 studies), North America (60), Latin America and the Caribbean (29), Asia (20), Oceania (10), and Africa (7). Sampling spans three decades and is concentrated on 2001¿2005 (21 studies), 2006¿2010 (40), 2011¿2015 (88), and 2016¿2020 (50). This is the most comprehensive open global data set on measurements of crop flower visitors, crop pollinators and pollination to date, and we encourage researchers to add more datasets to this database in the future.

Published
2022

44. CropPol:A dynamic, open and global database on crop pollination

Author

Allen-Perkins, Alfonso, Magrach, Ainhoa, Dainese, Matteo, Garibaldi, Lucas A., Kleijn, David, Rader, Romina, Reilly, James R., Winfree, Rachael, Lundin, Ola, McGrady, Carley M., Brittain, Claire, Biddinger, David J., Artz, Derek R., Elle, Elizabeth, Hoffman, George, Ellis, James D., Daniels, Jaret, Gibbs, Jason, Campbell, Joshua W., Brokaw, Julia, Wilson, Julianna K., Mason, Keith, Ward, Kimiora L., Gundersen, Knute B., Bobiwash, Kyle, Gut, Larry, Rowe, Logan M., Boyle, Natalie K., Williams, Neal M., Joshi, Neelendra K., Rothwell, Nikki, Gillespie, Robert L., Isaacs, Rufus, Fleischer, Shelby J., Peterson, Stephen S., Rao, Sujaya, Pitts-Singer, Theresa L., Fijen, Thijs, Boreux, Virginie, Rundlöf, Maj, Viana, Blandina Felipe, Klein, Alexandra-Maria, Smith, Henrik G., Bommarco, Riccardo, Carvalheiro, Luísa G., Ricketts, Taylor H., Ghazoul, Jaboury, Krishnan, Smitha, Benjamin, Faye E., Loureiro, João, Castro, Sílvia, Raine, Nigel E., de Groot, Gerard Arjen, Horgan, Finbarr G., Hipólito, Juliana, Smagghe, Guy, Meeus, Ivan, Eeraerts, Maxime, Potts, Simon G., Kremen, Claire, García, Daniel, Miñarro, Marcos, Crowder, David W., Pisanty, Gideon, Mandelik, Yael, Vereecken, Nicolas J., Leclercq, Nicolas, Weekers, Timothy, Lindstrom, Sandra A. M., Stanley, Dara A., Zaragoza-Trello, Carlos, Nicholson, Charlie C., Scheper, Jeroen, Rad, Carlos, Marks, Evan A.N., Mota, Lucie, Danforth, Bryan, Park, Mia, Bezerra, Antônio Diego M., Freitas, Breno M., Mallinger, Rachel E., Oliveira da Silva, Fabiana, Willcox, Bryony, Ramos, Davi L., da Silva e Silva, Felipe D., Lázaro, Amparo, Alomar, David, González-Estévez, Miguel A., Taki, Hisatomo, Cariveau, Daniel P., Garratt, Michael P. D., Nabaes Jodar, Diego N., Stewart, Rebecca I. A., Ariza, Daniel, Pisman, Matti, Lichtenberg, Elinor M., Schüepp, Christof, Herzog, Felix, Entling, Martin H, Dupont, Yoko L., Michener, Charles D., Daily, Gretchen C., Ehrlich, Paul R., Burns, Katherine L.W., Vilà, Montserrat, Robson, Andrew, Howlett, Brad, Blechschmidt, Leah, Jauker, Frank, Schwarzbach, Franziska, Nesper, Maike, Diekötter, Tim, Wolters, Volkmar, Castro, Helena, Gaspar, Hugo, Nault, Brian A., Badenhausser, Isabelle, Petersen, Jessica D., Tscharntke, Teja, Bretagnolle, Vincent, Willis Chan, D. Susan, Chacoff, Natacha, Andersson, Georg K. S., Jha, Shalene, Colville, Jonathan F., Veldtman, Ruan, Coutinho, Jeferson, Bianchi, Felix J. J. A., Sutter, Louis, Albrecht, Matthias, Jeanneret, Philippe, Zou, Yi, Averill, Anne L., Saez, Agustin, Sciligo, Amber R., Vergara, Carlos H, Bloom, Elias H., Oeller, Elisabeth, Badano, Ernesto I., Loeb, Gregory M., Grab, Heather, Ekroos, Johan, Gagic, Vesna, Cunningham, Saul A, Åström, Jens, Cavigliasso, Pablo, Trillo, Alejandro, Classen, Alice, Mauchline, Alice L., Montero-Castaño, Ana, Wilby, Andrew, Woodcock, Ben A., Sidhu, C. Sheena, Steffan-Dewenter, Ingolf, Vogiatzakis, Ioannis N., Herrera, José M., Otieno, Mark, Gikungu, Mary W., Cusser, Sarah J., Nauss, Thomas, Nilsson, Lovisa, Knapp, Jessica, Ortega-Marcos, Jorge J., González, José A., Osborne, Juliet L., Blanche, Rosalind, Shaw, Rosalind F., Hevia, Violeta, Stout, Jane, Arthur, Anthony D., Blochtein, Betina, Szentgyorgyi, Hajnalka, Li, Jin, Mayfield, Margaret M, Woyciechowski, Michał, Nunes-Silva, Patrícia, Halinski de Oliveira, Rosana, Henry, Steve, Simmons, Benno I., Dalsgaard, Bo, Hansen, Katrine, Sritongchuay, Tuanjit, O'Reilly, Alison D., Chamorro García, Fermín José, Nates Parra, Guiomar, Magalhães Pigozo, Camila, Bartomeus, Ignasi, Allen-Perkins, Alfonso, Magrach, Ainhoa, Dainese, Matteo, Garibaldi, Lucas A., Kleijn, David, Rader, Romina, Reilly, James R., Winfree, Rachael, Lundin, Ola, McGrady, Carley M., Brittain, Claire, Biddinger, David J., Artz, Derek R., Elle, Elizabeth, Hoffman, George, Ellis, James D., Daniels, Jaret, Gibbs, Jason, Campbell, Joshua W., Brokaw, Julia, Wilson, Julianna K., Mason, Keith, Ward, Kimiora L., Gundersen, Knute B., Bobiwash, Kyle, Gut, Larry, Rowe, Logan M., Boyle, Natalie K., Williams, Neal M., Joshi, Neelendra K., Rothwell, Nikki, Gillespie, Robert L., Isaacs, Rufus, Fleischer, Shelby J., Peterson, Stephen S., Rao, Sujaya, Pitts-Singer, Theresa L., Fijen, Thijs, Boreux, Virginie, Rundlöf, Maj, Viana, Blandina Felipe, Klein, Alexandra-Maria, Smith, Henrik G., Bommarco, Riccardo, Carvalheiro, Luísa G., Ricketts, Taylor H., Ghazoul, Jaboury, Krishnan, Smitha, Benjamin, Faye E., Loureiro, João, Castro, Sílvia, Raine, Nigel E., de Groot, Gerard Arjen, Horgan, Finbarr G., Hipólito, Juliana, Smagghe, Guy, Meeus, Ivan, Eeraerts, Maxime, Potts, Simon G., Kremen, Claire, García, Daniel, Miñarro, Marcos, Crowder, David W., Pisanty, Gideon, Mandelik, Yael, Vereecken, Nicolas J., Leclercq, Nicolas, Weekers, Timothy, Lindstrom, Sandra A. M., Stanley, Dara A., Zaragoza-Trello, Carlos, Nicholson, Charlie C., Scheper, Jeroen, Rad, Carlos, Marks, Evan A.N., Mota, Lucie, Danforth, Bryan, Park, Mia, Bezerra, Antônio Diego M., Freitas, Breno M., Mallinger, Rachel E., Oliveira da Silva, Fabiana, Willcox, Bryony, Ramos, Davi L., da Silva e Silva, Felipe D., Lázaro, Amparo, Alomar, David, González-Estévez, Miguel A., Taki, Hisatomo, Cariveau, Daniel P., Garratt, Michael P. D., Nabaes Jodar, Diego N., Stewart, Rebecca I. A., Ariza, Daniel, Pisman, Matti, Lichtenberg, Elinor M., Schüepp, Christof, Herzog, Felix, Entling, Martin H, Dupont, Yoko L., Michener, Charles D., Daily, Gretchen C., Ehrlich, Paul R., Burns, Katherine L.W., Vilà, Montserrat, Robson, Andrew, Howlett, Brad, Blechschmidt, Leah, Jauker, Frank, Schwarzbach, Franziska, Nesper, Maike, Diekötter, Tim, Wolters, Volkmar, Castro, Helena, Gaspar, Hugo, Nault, Brian A., Badenhausser, Isabelle, Petersen, Jessica D., Tscharntke, Teja, Bretagnolle, Vincent, Willis Chan, D. Susan, Chacoff, Natacha, Andersson, Georg K. S., Jha, Shalene, Colville, Jonathan F., Veldtman, Ruan, Coutinho, Jeferson, Bianchi, Felix J. J. A., Sutter, Louis, Albrecht, Matthias, Jeanneret, Philippe, Zou, Yi, Averill, Anne L., Saez, Agustin, Sciligo, Amber R., Vergara, Carlos H, Bloom, Elias H., Oeller, Elisabeth, Badano, Ernesto I., Loeb, Gregory M., Grab, Heather, Ekroos, Johan, Gagic, Vesna, Cunningham, Saul A, Åström, Jens, Cavigliasso, Pablo, Trillo, Alejandro, Classen, Alice, Mauchline, Alice L., Montero-Castaño, Ana, Wilby, Andrew, Woodcock, Ben A., Sidhu, C. Sheena, Steffan-Dewenter, Ingolf, Vogiatzakis, Ioannis N., Herrera, José M., Otieno, Mark, Gikungu, Mary W., Cusser, Sarah J., Nauss, Thomas, Nilsson, Lovisa, Knapp, Jessica, Ortega-Marcos, Jorge J., González, José A., Osborne, Juliet L., Blanche, Rosalind, Shaw, Rosalind F., Hevia, Violeta, Stout, Jane, Arthur, Anthony D., Blochtein, Betina, Szentgyorgyi, Hajnalka, Li, Jin, Mayfield, Margaret M, Woyciechowski, Michał, Nunes-Silva, Patrícia, Halinski de Oliveira, Rosana, Henry, Steve, Simmons, Benno I., Dalsgaard, Bo, Hansen, Katrine, Sritongchuay, Tuanjit, O'Reilly, Alison D., Chamorro García, Fermín José, Nates Parra, Guiomar, Magalhães Pigozo, Camila, and Bartomeus, Ignasi

Abstract

Seventy five percent of the world's food crops benefit from insect pollination. Hence, there has been increased interest in how global change drivers impact this critical ecosystem service. Because standardized data on crop pollination are rarely available, we are limited in our capacity to understand the variation in pollination benefits to crop yield, as well as to anticipate changes in this service, develop predictions, and inform management actions. Here, we present CropPol, a dynamic, open, and global database on crop pollination. It contains measurements recorded from 202 crop studies, covering 3,394 field observations, 2,552 yield measurements (i.e., berry mass, number of fruits, and fruit density [kg/ha], among others), and 47,752 insect records from 48 commercial crops distributed around the globe. CropPol comprises 32 of the 87 leading global crops and commodities that are pollinator dependent. Malus domestica is the most represented crop (32 studies), followed by Brassica napus (22 studies), Vaccinium corymbosum (13 studies), and Citrullus lanatus (12 studies). The most abundant pollinator guilds recorded are honey bees (34.22% counts), bumblebees (19.19%), flies other than Syrphidae and Bombyliidae (13.18%), other wild bees (13.13%), beetles (10.97%), Syrphidae (4.87%), and Bombyliidae (0.05%). Locations comprise 34 countries distributed among Europe (76 studies), North America (60), Latin America and the Caribbean (29), Asia (20), Oceania (10), and Africa (7). Sampling spans three decades and is concentrated on 2001–2005 (21 studies), 2006–2010 (40), 2011–2015 (88), and 2016–2020 (50). This is the most comprehensive open global data set on measurements of crop flower visitors, crop pollinators and pollination to date, and we encourage researchers to add more datasets to this database in the future. This data set is released for non-commercial use only. Credits should be given to this paper (i.e., proper citation), and the products generated with this

Published
2022

45. CropPol: a dynamic, open and global database on crop pollination

Author

Allen‐Perkins, Alfonso, Magrach, Ainhoa, Dainese, Matteo, Garibaldi, Lucas A., Kleijn, David, Rader, Romina, Reilly, James R., Winfree, Rachael, Lundin, Ola, McGrady, Carley M., Brittain, Claire, Biddinger, David J., Artz, Derek R., Elle, Elizabeth, Hoffman, George, Ellis, James D., Daniels, Jaret, Gibbs, Jason, Campbell, Joshua W., Brokaw, Julia, Wilson, Julianna K., Mason, Keith, Ward, Kimiora L., Gundersen, Knute B., Bobiwash, Kyle, Gut, Larry, Rowe, Logan M., Boyle, Natalie K., Williams, Neal M., Joshi, Neelendra K., Rothwell, Nikki, Gillespie, Robert L., Isaacs, Rufus, Fleischer, Shelby J., Peterson, Stephen S., Rao, Sujaya, Pitts‐Singer, Theresa L., Fijen, Thijs, Boreux, Virginie, Rundlöf, Maj, Viana, Blandina Felipe, Klein, Alexandra‐Maria, Smith, Henrik G., Bommarco, Riccardo, Carvalheiro, Luísa G., Ricketts, Taylor H., Ghazoul, Jaboury, Krishnan, Smitha, Benjamin, Faye E., Loureiro, João, Castro, Sílvia, Raine, Nigel E., Groot, Gerard Arjen, Horgan, Finbarr G., Hipólito, Juliana, Smagghe, Guy, Meeus, Ivan, Eeraerts, Maxime, Potts, Simon G., Kremen, Claire, García, Daniel, Miñarro, Marcos, Crowder, David W., Pisanty, Gideon, Mandelik, Yael, Vereecken, Nicolas J., Leclercq, Nicolas, Weekers, Timothy, Lindstrom, Sandra A.M., Stanley, Dara A., Zaragoza‐Trello, Carlos, Nicholson, Charlie C., Scheper, Jeroen, Rad, Carlos, Marks, Evan A.N., Mota, Lucie, Danforth, Bryan, Park, Mia, Bezerra, Antônio Diego M., Freitas, Breno M., Mallinger, Rachel E., Silva, Fabiana Oliveira, Willcox, Bryony, Ramos, Davi L., Silva e Silva, Felipe D., Lázaro, Amparo, Alomar, David, González‐Estévez, Miguel A., Taki, Hisatomo, Cariveau, Daniel P., Garratt, Michael P.D., Nabaes Jodar, Diego N., Stewart, Rebecca I.A., Ariza, Daniel, Pisman, Matti, Lichtenberg, Elinor M., Schüepp, Christof, Herzog, Felix, Entling, Martin H., Dupont, Yoko L., Michener, Charles D., Daily, Gretchen C., Ehrlich, Paul R., Burns, Katherine L.W., Vilà, Montserrat, Robson, Andrew, Howlett, Brad, Blechschmidt, Leah, Jauker, Frank, Schwarzbach, Franziska, Nesper, Maike, Diekötter, Tim, Wolters, Volkmar, Castro, Helena, Gaspar, Hugo, Nault, Brian A., Badenhausser, Isabelle, Petersen, Jessica D., Tscharntke, Teja, Bretagnolle, Vincent, Chan, D. Susan Willis, Chacoff, Natacha, Andersson, Georg K.S., Jha, Shalene, Colville, Jonathan F., Veldtman, Ruan, Coutinho, Jeferson, Bianchi, Felix J.J.A., Sutter, Louis, Albrecht, Matthias, Jeanneret, Philippe, Zou, Yi, Averill, Anne L., Saez, Agustin, Sciligo, Amber R., Vergara, Carlos H., Bloom, Elias H., Oeller, Elisabeth, Badano, Ernesto I., Loeb, Gregory M., Grab, Heather, Ekroos, Johan, Gagic, Vesna, Cunningham, Saul A., Åström, Jens, Cavigliasso, Pablo, Trillo, Alejandro, Classen, Alice, Mauchline, Alice L., Montero‐Castaño, Ana, Wilby, Andrew, Woodcock, Ben A., Sidhu, C. Sheena, Steffan‐Dewenter, Ingolf, Vogiatzakis, Ioannis N., Herrera, José M., Otieno, Mark, Gikungu, Mary W., Cusser, Sarah J., Nauss, Thomas, Nilsson, Lovisa, Knapp, Jessica, Ortega‐Marcos, Jorge J., González, José A., Osborne, Juliet L., Blanche, Rosalind, Shaw, Rosalind F., Hevia, Violeta, Stout, Jane, Arthur, Anthony D., Blochtein, Betina, Szentgyorgyi, Hajnalka, Li, Jin, Mayfield, Margaret M., Woyciechowski, Michał, Nunes‐Silva, Patrícia, Oliveira, Rosana Halinski, Henry, Steve, Simmons, Benno I., Dalsgaard, Bo, Hansen, Katrine, Sritongchuay, Tuanjit, O'Reilly, Alison D., García, Fermín José Chamorro, Parra, Guiomar Nates, Pigozo, Camila Magalhães, Bartomeus, Ignasi, Allen‐Perkins, Alfonso, Magrach, Ainhoa, Dainese, Matteo, Garibaldi, Lucas A., Kleijn, David, Rader, Romina, Reilly, James R., Winfree, Rachael, Lundin, Ola, McGrady, Carley M., Brittain, Claire, Biddinger, David J., Artz, Derek R., Elle, Elizabeth, Hoffman, George, Ellis, James D., Daniels, Jaret, Gibbs, Jason, Campbell, Joshua W., Brokaw, Julia, Wilson, Julianna K., Mason, Keith, Ward, Kimiora L., Gundersen, Knute B., Bobiwash, Kyle, Gut, Larry, Rowe, Logan M., Boyle, Natalie K., Williams, Neal M., Joshi, Neelendra K., Rothwell, Nikki, Gillespie, Robert L., Isaacs, Rufus, Fleischer, Shelby J., Peterson, Stephen S., Rao, Sujaya, Pitts‐Singer, Theresa L., Fijen, Thijs, Boreux, Virginie, Rundlöf, Maj, Viana, Blandina Felipe, Klein, Alexandra‐Maria, Smith, Henrik G., Bommarco, Riccardo, Carvalheiro, Luísa G., Ricketts, Taylor H., Ghazoul, Jaboury, Krishnan, Smitha, Benjamin, Faye E., Loureiro, João, Castro, Sílvia, Raine, Nigel E., Groot, Gerard Arjen, Horgan, Finbarr G., Hipólito, Juliana, Smagghe, Guy, Meeus, Ivan, Eeraerts, Maxime, Potts, Simon G., Kremen, Claire, García, Daniel, Miñarro, Marcos, Crowder, David W., Pisanty, Gideon, Mandelik, Yael, Vereecken, Nicolas J., Leclercq, Nicolas, Weekers, Timothy, Lindstrom, Sandra A.M., Stanley, Dara A., Zaragoza‐Trello, Carlos, Nicholson, Charlie C., Scheper, Jeroen, Rad, Carlos, Marks, Evan A.N., Mota, Lucie, Danforth, Bryan, Park, Mia, Bezerra, Antônio Diego M., Freitas, Breno M., Mallinger, Rachel E., Silva, Fabiana Oliveira, Willcox, Bryony, Ramos, Davi L., Silva e Silva, Felipe D., Lázaro, Amparo, Alomar, David, González‐Estévez, Miguel A., Taki, Hisatomo, Cariveau, Daniel P., Garratt, Michael P.D., Nabaes Jodar, Diego N., Stewart, Rebecca I.A., Ariza, Daniel, Pisman, Matti, Lichtenberg, Elinor M., Schüepp, Christof, Herzog, Felix, Entling, Martin H., Dupont, Yoko L., Michener, Charles D., Daily, Gretchen C., Ehrlich, Paul R., Burns, Katherine L.W., Vilà, Montserrat, Robson, Andrew, Howlett, Brad, Blechschmidt, Leah, Jauker, Frank, Schwarzbach, Franziska, Nesper, Maike, Diekötter, Tim, Wolters, Volkmar, Castro, Helena, Gaspar, Hugo, Nault, Brian A., Badenhausser, Isabelle, Petersen, Jessica D., Tscharntke, Teja, Bretagnolle, Vincent, Chan, D. Susan Willis, Chacoff, Natacha, Andersson, Georg K.S., Jha, Shalene, Colville, Jonathan F., Veldtman, Ruan, Coutinho, Jeferson, Bianchi, Felix J.J.A., Sutter, Louis, Albrecht, Matthias, Jeanneret, Philippe, Zou, Yi, Averill, Anne L., Saez, Agustin, Sciligo, Amber R., Vergara, Carlos H., Bloom, Elias H., Oeller, Elisabeth, Badano, Ernesto I., Loeb, Gregory M., Grab, Heather, Ekroos, Johan, Gagic, Vesna, Cunningham, Saul A., Åström, Jens, Cavigliasso, Pablo, Trillo, Alejandro, Classen, Alice, Mauchline, Alice L., Montero‐Castaño, Ana, Wilby, Andrew, Woodcock, Ben A., Sidhu, C. Sheena, Steffan‐Dewenter, Ingolf, Vogiatzakis, Ioannis N., Herrera, José M., Otieno, Mark, Gikungu, Mary W., Cusser, Sarah J., Nauss, Thomas, Nilsson, Lovisa, Knapp, Jessica, Ortega‐Marcos, Jorge J., González, José A., Osborne, Juliet L., Blanche, Rosalind, Shaw, Rosalind F., Hevia, Violeta, Stout, Jane, Arthur, Anthony D., Blochtein, Betina, Szentgyorgyi, Hajnalka, Li, Jin, Mayfield, Margaret M., Woyciechowski, Michał, Nunes‐Silva, Patrícia, Oliveira, Rosana Halinski, Henry, Steve, Simmons, Benno I., Dalsgaard, Bo, Hansen, Katrine, Sritongchuay, Tuanjit, O'Reilly, Alison D., García, Fermín José Chamorro, Parra, Guiomar Nates, Pigozo, Camila Magalhães, and Bartomeus, Ignasi

Abstract

Seventy five percent of the world's food crops benefit from insect pollination. Hence, there has been increased interest in how global change drivers impact this critical ecosystem service. Because standardized data on crop pollination are rarely available, we are limited in our capacity to understand the variation in pollination benefits to crop yield, as well as to anticipate changes in this service, develop predictions, and inform management actions. Here, we present CropPol, a dynamic, open and global database on crop pollination. It contains measurements recorded from 202 crop studies, covering 3,394 field observations, 2,552 yield measurements (i.e. berry weight, number of fruits and kg per hectare, among others), and 47,752 insect records from 48 commercial crops distributed around the globe. CropPol comprises 32 of the 87 leading global crops and commodities that are pollinator dependent. Malus domestica is the most represented crop (32 studies), followed by Brassica napus (22 studies), Vaccinium corymbosum (13 studies), and Citrullus lanatus (12 studies). The most abundant pollinator guilds recorded are honey bees (34.22% counts), bumblebees (19.19%), flies other than Syrphidae and Bombyliidae (13.18%), other wild bees (13.13%), beetles (10.97%), Syrphidae (4.87%), and Bombyliidae (0.05%). Locations comprise 34 countries distributed among Europe (76 studies), Northern America (60), Latin America and the Caribbean (29), Asia (20), Oceania (10), and Africa (7). Sampling spans three decades and is concentrated on 2001-05 (21 studies), 2006-10 (40), 2011-15 (88), and 2016-20 (50). This is the most comprehensive open global data set on measurements of crop flower visitors, crop pollinators and pollination to date, and we encourage researchers to add more datasets to this database in the future. This data set is released for non-commercial use only. Credits should be given to this paper (i.e., proper citation), and the products generated with this database should

Published
2022

46. The challenge of biased evidence in conservation

Author

Christie, Alec P, Amano, Tatsuya, Martin, Philip A, Petrovan, Silviu O, Shackelford, Gorm E, Simmons, Benno I, Smith, Rebecca K, Williams, David R, Wordley, Claire FR, Sutherland, William J, Christie, Alec P [0000-0002-8465-8410], Amano, Tatsuya [0000-0001-6576-3410], Martin, Philip A [0000-0002-6804-2720], Petrovan, Silviu O [0000-0002-3984-2403], Shackelford, Gorm E [0000-0003-0949-0934], Simmons, Benno I [0000-0002-2751-9430], Williams, David R [0000-0002-0379-1800], Sutherland, William J [0000-0002-6498-0437], and Apollo - University of Cambridge Repository

Subjects
Conservation of Natural Resources, bias, synthesis, 决策, síntesis, priorización, 研究设计, 综合分析, conservación basada en evidencias, sesgo, study design, evidence-based conservation, Animals, diseño de estudio, evidencia de la conservación, 保护证据, conservation research, 优先保护, investigación sobre la conservación, conservation evidence, Australasia, Endangered Species, decision-making, prioritization, Biodiversity, Europe, 保护研究, North America, 基于证据的保护, toma de decisiones, 偏倚
Abstract

Efforts to tackle the current biodiversity crisis need to be as efficient and effective as possible given chronic underfunding. To inform decision‐makers of the most effective conservation actions, it is important to identify biases and gaps in the conservation literature to prioritize future evidence generation. We used the Conservation Evidence database to assess the state of the global literature that tests conservation actions for amphibians and birds. For the studies in the database, we investigated their spatial and taxonomic extent and distribution across biomes, effectiveness metrics, and study designs. Studies were heavily concentrated in Western Europe and North America for birds and particularly for amphibians, and temperate forest and grassland biomes were highly represented relative to their percentage of land coverage. Studies that used the most reliable study designs ‐ before‐after control‐impact and randomized controlled trials ‐ were the most geographically restricted and scarce in the evidence base. There were negative spatial relationships between the numbers of studies and the numbers of threatened and data‐deficient species worldwide. Taxonomic biases and gaps were apparent for amphibians and birds–some entire orders were absent from the evidence base–whereas others were poorly represented relative to the proportion of threatened species they contained. Metrics used to evaluate effectiveness of conservation actions were often inconsistent between studies, potentially making them less directly comparable and evidence synthesis more difficult. Testing conservation actions on threatened species outside Western Europe, North America and Australasia should be prioritized. Standardizing metrics and improving the rigor of study designs used to test conservation actions would also improve the quality of the evidence base for synthesis and decision‐making.

Published
2021

48. Refocusing multiple stressor research around the targets and scales of ecological impacts

Author

Simmons, Benno I, Blyth, Penelope S A, Blanchard, Julia L, Clegg, Tom, Delmas, Eva, Garnier, Aurélie, Griffiths, Christopher A, Jacob, Ute, Pennekamp, Frank, Petchey, Owen L, Poisot, Timothée, Webb, Thomas J, Beckerman, Andrew P, University of Zurich, and Simmons, Benno I

Subjects
10127 Institute of Evolutionary Biology and Environmental Studies, 1105 Ecology, Evolution, Behavior and Systematics, Ecology, Behavior and Systematics, UFSP13-8 Global Change and Biodiversity, Evolution, 570 Life sciences, biology, 590 Animals (Zoology), 2303 Ecology
Published
2021
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49. Steps to diversify priority‐setting research in conservation: reflections on de Gracia 2021

Author

Jucker, Tommaso, primary, Amano, Tatsuya, additional, Bell, Alexandra, additional, Garnett, Emma E., additional, Geffert, Jan Laurens, additional, Guth, Miriam K., additional, Hacket‐Pain, Andrew, additional, Luke, Sarah H., additional, Mumby, Hannah S., additional, Nunes, Matheus, additional, Rademacher, Tim, additional, Rose, David C., additional, Schleicher, Judith, additional, Simmons, Benno I., additional, Zabala, Aiora, additional, and Mukherjee, Nibedita, additional

Published
2021
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50. Niche-based processes and neutrality influence patterns of indirect interactions in mutualistic networks

Author

Simmons, Benno I., Beckerman, Andrew P., Hansen, Katrine, Maruyama, Pietro K., Vizentin-Bugoni, Jeferson, and Dalsgaard, Bo

Abstract

Indirect interactions are central to ecological and evolutionary dynamics in pollination communities, yet we have little understanding about the processes determining patterns of indirect interactions, such as those between pollinators through shared flowering plants. Instead, research has concentrated on the processes responsible for direct interactions and whole-network structures. This is partly due to a lack of appropriate tools for characterising indirect interaction structures, because traditional network metrics discard much of this information. The recent development of tools for counting motifs (subnetworks depicting interactions between a small number of species) in bipartite networks enable detailed analysis of indirect interaction patterns. Here we generate plant-hummingbird pollination networks based on three major assembly processes – neutral effects (species interacting in proportion to abundance), morphological matching and phenological overlap – and evaluate the motifs associated with each one. We find that different processes produce networks with significantly different patterns of indirect interactions. Neutral effects tend to produce densely-connected motifs, with short indirect interaction chains, and motifs where many specialists interact indirectly through a single generalist. Conversely, niche-based processes (morphology and phenology) produced motifs with a core of interacting generalists, supported by peripheral specialists. These results have important implications for understanding the mechanisms determining indirect interaction structures.

Published
2020
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