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4. A global synthesis reveals biodiversity-mediated benefits for crop production.

Author

Dainese, Matteo, Martin, Emily A, Aizen, Marcelo A, Albrecht, Matthias, Bartomeus, Ignasi, Bommarco, Riccardo, Carvalheiro, Luisa G, Chaplin-Kramer, Rebecca, Gagic, Vesna, Garibaldi, Lucas A, Ghazoul, Jaboury, Grab, Heather, Jonsson, Mattias, Karp, Daniel S, Kennedy, Christina M, Kleijn, David, Kremen, Claire, Landis, Douglas A, Letourneau, Deborah K, Marini, Lorenzo, Poveda, Katja, Rader, Romina, Smith, Henrik G, Tscharntke, Teja, Andersson, Georg KS, Badenhausser, Isabelle, Baensch, Svenja, Bezerra, Antonio Diego M, Bianchi, Felix JJA, Boreux, Virginie, Bretagnolle, Vincent, Caballero-Lopez, Berta, Cavigliasso, Pablo, Ćetković, Aleksandar, Chacoff, Natacha P, Classen, Alice, Cusser, Sarah, da Silva E Silva, Felipe D, de Groot, G Arjen, Dudenhöffer, Jan H, Ekroos, Johan, Fijen, Thijs, Franck, Pierre, Freitas, Breno M, Garratt, Michael PD, Gratton, Claudio, Hipólito, Juliana, Holzschuh, Andrea, Hunt, Lauren, Iverson, Aaron L, Jha, Shalene, Keasar, Tamar, Kim, Tania N, Kishinevsky, Miriam, Klatt, Björn K, Klein, Alexandra-Maria, Krewenka, Kristin M, Krishnan, Smitha, Larsen, Ashley E, Lavigne, Claire, Liere, Heidi, Maas, Bea, Mallinger, Rachel E, Martinez Pachon, Eliana, Martínez-Salinas, Alejandra, Meehan, Timothy D, Mitchell, Matthew GE, Molina, Gonzalo AR, Nesper, Maike, Nilsson, Lovisa, O'Rourke, Megan E, Peters, Marcell K, Plećaš, Milan, Potts, Simon G, Ramos, Davi de L, Rosenheim, Jay A, Rundlöf, Maj, Rusch, Adrien, Sáez, Agustín, Scheper, Jeroen, Schleuning, Matthias, Schmack, Julia M, Sciligo, Amber R, Seymour, Colleen, Stanley, Dara A, Stewart, Rebecca, Stout, Jane C, Sutter, Louis, Takada, Mayura B, Taki, Hisatomo, Tamburini, Giovanni, Tschumi, Matthias, Viana, Blandina F, Westphal, Catrin, Willcox, Bryony K, Wratten, Stephen D, Yoshioka, Akira, Zaragoza-Trello, Carlos, Zhang, Wei, and Zou, Yi

Subjects
Humans, Crops, Agricultural, Ecosystem, Biodiversity, Pest Control, Biological, Agriculture, Pollination, Crop Production, Crops, Agricultural, Pest Control, Biological
Abstract

Human land use threatens global biodiversity and compromises multiple ecosystem functions critical to food production. Whether crop yield-related ecosystem services can be maintained by a few dominant species or rely on high richness remains unclear. Using a global database from 89 studies (with 1475 locations), we partition the relative importance of species richness, abundance, and dominance for pollination; biological pest control; and final yields in the context of ongoing land-use change. Pollinator and enemy richness directly supported ecosystem services in addition to and independent of abundance and dominance. Up to 50% of the negative effects of landscape simplification on ecosystem services was due to richness losses of service-providing organisms, with negative consequences for crop yields. Maintaining the biodiversity of ecosystem service providers is therefore vital to sustain the flow of key agroecosystem benefits to society.

Published
2019

6. Estimating animal abundance with N-mixture models using the R-INLA package for R

Author

Meehan, Timothy D., Michel, Nicole L., and Rue, Håvard

Subjects
Statistics - Applications
Abstract

Successful management of wildlife populations requires accurate estimates of abundance. Abundance estimates can be confounded by imperfect detection during wildlife surveys. N-mixture models enable quantification of detection probability and, under appropriate conditions, produce abundance estimates that are less biased. Here, we demonstrate use of the R-INLA package for R to analyze N-mixture models and compare performance of R-INLA to two other common approaches: JAGS (via the runjags package for R), which uses Markov chain Monte Carlo and allows Bayesian inference, and the unmarked package for R, which uses maximum likelihood and allows frequentist inference. We show that R-INLA is an attractive option for analyzing N-mixture models when (i) fast computing times are necessary (R-INLA is 10 times faster than unmarked and 500 times faster than JAGS), (ii) familiar model syntax and data format (relative to other R packages) is desired, (iii) survey-level covariates of detection are not essential, and (iv) Bayesian inference is preferred., Comment: 25 pages, 3 figures, 2 appendices

Published
2017

7. Crop pests and predators exhibit inconsistent responses to surrounding landscape composition.

Author

Karp, Daniel S, Chaplin-Kramer, Rebecca, Meehan, Timothy D, Martin, Emily A, DeClerck, Fabrice, Grab, Heather, Gratton, Claudio, Hunt, Lauren, Larsen, Ashley E, Martínez-Salinas, Alejandra, O'Rourke, Megan E, Rusch, Adrien, Poveda, Katja, Jonsson, Mattias, Rosenheim, Jay A, Schellhorn, Nancy A, Tscharntke, Teja, Wratten, Stephen D, Zhang, Wei, Iverson, Aaron L, Adler, Lynn S, Albrecht, Matthias, Alignier, Audrey, Angelella, Gina M, Zubair Anjum, Muhammad, Avelino, Jacques, Batáry, Péter, Baveco, Johannes M, Bianchi, Felix JJA, Birkhofer, Klaus, Bohnenblust, Eric W, Bommarco, Riccardo, Brewer, Michael J, Caballero-López, Berta, Carrière, Yves, Carvalheiro, Luísa G, Cayuela, Luis, Centrella, Mary, Ćetković, Aleksandar, Henri, Dominic Charles, Chabert, Ariane, Costamagna, Alejandro C, De la Mora, Aldo, de Kraker, Joop, Desneux, Nicolas, Diehl, Eva, Diekötter, Tim, Dormann, Carsten F, Eckberg, James O, Entling, Martin H, Fiedler, Daniela, Franck, Pierre, Frank van Veen, FJ, Frank, Thomas, Gagic, Vesna, Garratt, Michael PD, Getachew, Awraris, Gonthier, David J, Goodell, Peter B, Graziosi, Ignazio, Groves, Russell L, Gurr, Geoff M, Hajian-Forooshani, Zachary, Heimpel, George E, Herrmann, John D, Huseth, Anders S, Inclán, Diego J, Ingrao, Adam J, Iv, Phirun, Jacot, Katja, Johnson, Gregg A, Jones, Laura, Kaiser, Marina, Kaser, Joe M, Keasar, Tamar, Kim, Tania N, Kishinevsky, Miriam, Landis, Douglas A, Lavandero, Blas, Lavigne, Claire, Le Ralec, Anne, Lemessa, Debissa, Letourneau, Deborah K, Liere, Heidi, Lu, Yanhui, Lubin, Yael, Luttermoser, Tim, Maas, Bea, Mace, Kevi, Madeira, Filipe, Mader, Viktoria, Cortesero, Anne Marie, Marini, Lorenzo, Martinez, Eliana, Martinson, Holly M, Menozzi, Philippe, Mitchell, Matthew GE, Miyashita, Tadashi, Molina, Gonzalo AR, and Molina-Montenegro, Marco A

Subjects
Animals, Crops, Agricultural, Ecosystem, Pest Control, Biological, Models, Biological, agroecology, biodiversity, biological control, ecosystem services, natural enemies, Crops, Agricultural, Pest Control, Biological, Models
Abstract

The idea that noncrop habitat enhances pest control and represents a win-win opportunity to conserve biodiversity and bolster yields has emerged as an agroecological paradigm. However, while noncrop habitat in landscapes surrounding farms sometimes benefits pest predators, natural enemy responses remain heterogeneous across studies and effects on pests are inconclusive. The observed heterogeneity in species responses to noncrop habitat may be biological in origin or could result from variation in how habitat and biocontrol are measured. Here, we use a pest-control database encompassing 132 studies and 6,759 sites worldwide to model natural enemy and pest abundances, predation rates, and crop damage as a function of landscape composition. Our results showed that although landscape composition explained significant variation within studies, pest and enemy abundances, predation rates, crop damage, and yields each exhibited different responses across studies, sometimes increasing and sometimes decreasing in landscapes with more noncrop habitat but overall showing no consistent trend. Thus, models that used landscape-composition variables to predict pest-control dynamics demonstrated little potential to explain variation across studies, though prediction did improve when comparing studies with similar crop and landscape features. Overall, our work shows that surrounding noncrop habitat does not consistently improve pest management, meaning habitat conservation may bolster production in some systems and depress yields in others. Future efforts to develop tools that inform farmers when habitat conservation truly represents a win-win would benefit from increased understanding of how landscape effects are modulated by local farm management and the biology of pests and their enemies.

Published
2018

11. Spatially explicit Bayesian hierarchical models improve estimates of avian population status and trends.

Author

Smith, Adam C., Binley, Allison D., Daly, Lindsay, Edwards, Brandon P. M., Ethier, Danielle, Frei, Barbara, Iles, David, Meehan, Timothy D., Michel, Nicole L., and Smith, Paul A.

Subjects
BAYESIAN analysis, AVIAN anatomy, SHORE birds, DEMOGRAPHIC change
Abstract

Copyright of Ornithological Applications is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2024
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16. A framework for linking hemispheric, full annual cycle prioritizations to local conservation actions for migratory birds

Author

DeLuca, William V., primary, Seavy, Nathaniel E., additional, Grand, Joanna, additional, Velásquez‐Tibatá, Jorge, additional, Taylor, Lotem, additional, Bowler, Cat, additional, Deppe, Jill L., additional, Knight, Erika J., additional, Lentijo, Gloria M., additional, Meehan, Timothy D., additional, Michel, Nicole L., additional, Saunders, Sarah P., additional, Schillerstrom, Nolan, additional, Smith, Melanie A., additional, Witko, Chad, additional, and Wilsey, Chad B., additional

Published
2023
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31. Integrating data types to estimate spatial patterns of avian migration across the Western Hemisphere

Author

Meehan, Timothy D., primary, Saunders, Sarah P., additional, DeLuca, William V., additional, Michel, Nicole L., additional, Grand, Joanna, additional, Deppe, Jill L., additional, Jimenez, Miguel F., additional, Knight, Erika J., additional, Seavy, Nathaniel E., additional, Smith, Melanie A., additional, Taylor, Lotem, additional, Witko, Chad, additional, Akresh, Michael E., additional, Barber, David R., additional, Bayne, Erin M., additional, Beasley, James C., additional, Belant, Jerrold L., additional, Bierregaard, Richard O., additional, Bildstein, Keith L., additional, Boves, Than J., additional, Brzorad, John N., additional, Campbell, Steven P., additional, Celis‐Murillo, Antonio, additional, Cooke, Hilary A., additional, Domenech, Robert, additional, Goodrich, Laurie, additional, Gow, Elizabeth A., additional, Haines, Aaron, additional, Hallworth, Michael T., additional, Hill, Jason M., additional, Holland, Amanda E., additional, Jennings, Scott, additional, Kays, Roland, additional, King, D. Tommy, additional, Mackenzie, Stuart A., additional, Marra, Peter P., additional, McCabe, Rebecca A., additional, McFarland, Kent P., additional, McGrady, Michael J., additional, Melcer, Ron, additional, Norris, D. Ryan, additional, Norvell, Russell E., additional, Rhodes, Olin E., additional, Rimmer, Christopher C., additional, Scarpignato, Amy L., additional, Shreading, Adam, additional, Watson, Jesse L., additional, and Wilsey, Chad B., additional

Published
2022
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35. Unraveling a century of global change impacts on winter bird distributions in the eastern United States

Author

Saunders, Sarah P., primary, Meehan, Timothy D., additional, Michel, Nicole L., additional, Bateman, Brooke L., additional, DeLuca, William, additional, Deppe, Jill L., additional, Grand, Joanna, additional, LeBaron, Geoffrey S., additional, Taylor, Lotem, additional, Westerkam, Henrik, additional, Wu, Joanna X., additional, and Wilsey, Chad B., additional

Published
2022
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49. Crop pests and predators exhibit inconsistent responses to surrounding landscape composition

Author

Karp, Daniel S., Chaplin-Kramer, Rebecca, Meehan, Timothy D., Martin, Emily A., DeClerck, Fabrice, Grab, Heather, Gratton, Claudio, Hunt, Lauren, Larsen, Ashley E., Martinez-Salinas, Alejandra, O'Rourke, Megan E., Rusch, Adrien, Poveda, Katja, Jonsson, Mattias, Rosenheim, Jay A., Schellhorn, Nancy A., Tscharntke, Teja, Wratten, Stephen D., Zhang, Wei, Iverson, Aaron L., Adler, Lynn S., Albrecht, Matthias, Alignier, Audrey, Angelella, Gina M., Anjum, Muhammad Zubair, Avelino, Jacques, Batary, Peter, Baveco, Johannes M., Bianchi, Felix J.J.A., Birkhofer, Klaus, Bohnenblust, Eric W., Bommarco, Riccardo, Brewer, Michael J., Caballero-López, Berta, Carrière, Yves, Carvalheiro, Luísa G., Cayuela, Luis, Centrella, Mary, Cetkovic, Aleksandar, Henri, Dominic Charles, Chabert, Ariane, Costamagna, Alejandro C., De la Mora, Aldo, De Kraker, Joop, Desneux, Nicolas, Diehl, Eva, Diekötter, Tim, Dormann, Carsten F., Eckberg, James O., Entling, Martin H., Fiedler, Daniela, Franck, Pierre, van Veen, Frank, Frank, Thomas, Gagic, Vesna, Garratt, Michael P.D., Getachew, Awraris, Gonthier, David J., Goodell, Peter B., Graziosi, Ignazio, Groves, Russell L., Gurr, Geoff M., Hajian-Forooshani, Zachary, Heimpel, George E., Herrmann, John D., Huseth, Anders S., Inclán, Diego J., Ingrao, Adam J., Iv, Phirun, Jacot, Katja, Johnson, Gregg A., Jones, Laura, Kaiser, Marina, Kaser, Joe M., Keasar, Tamar, Kim, Tania N., Kishinevsky, Miriam, Landis, Douglas A., Lavandero, Blas, Lavigne, Claire, Le Ralec, Anne, Lemessa, Debissa, Letourneau, Deborah K., Liere, Heidi, Lu, Yanhui, Lubin, Yael, Luttermoser, Tim, Maas, Bea, Mace, Kevi, Madeira, Felipe, Mader, Viktoria, Cortesero, Anne-Marie, Marini, Lorenzo, Martinez, Eliana, Martinson, Holly M., and Menozzi, Philippe

Subjects
F08 - Systèmes et modes de culture, H10 - Ravageurs des plantes
Abstract

The idea that noncrop habitat enhances pest control and represents a win–win opportunity to conserve biodiversity and bolster yields has emerged as an agroecological paradigm. However, while noncrop habitat in landscapes surrounding farms sometimes benefits pest predators, natural enemy responses remain heterogeneous across studies and effects on pests are inconclusive. The observed heterogeneity in species responses to noncrop habitat may be biological in origin or could result from variation in how habitat and biocontrol are measured. Here, we use a pest-control database encompassing 132 studies and 6,759 sites worldwide to model natural enemy and pest abundances, predation rates, and crop damage as a function of landscape composition. Our results showed that although landscape composition explained significant variation within studies, pest and enemy abundances, predation rates, crop damage, and yields each exhibited different responses across studies, sometimes increasing and sometimes decreasing in landscapes with more noncrop habitat but overall showing no consistent trend. Thus, models that used landscape-composition variables to predict pest-control dynamics demonstrated little potential to explain variation across studies, though prediction did improve when comparing studies with similar crop and landscape features. Overall, our work shows that surrounding noncrop habitat does not consistently improve pest management, meaning habitat conservation may bolster production in some systems and depress yields in others. Future efforts to develop tools that inform farmers when habitat conservation truly represents a win–win would benefit from increased understanding of how landscape effects are modulated by local farm management and the biology of pests and their enemies.

Published
2018

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