Dataset Open Access

Data from: Crop pests and predators exhibit inconsistent responses to surrounding landscape composition

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.; Anjum, Muhammad Zubair; Avelino, Jacques; Batáry, Péter; 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; 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; van Veen, F. J. 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, Filipe; Mader, Viktoria; Cortesero, Anne Marie; Marini, Lorenzo; Martinez, Eliana; Martinson, Holly M.; Menozzi, Philippe; Mitchell, Matthew G. E.; Miyashita, Tadashi; Molina, Gonzalo A. R.; Molina-Montenegro, Marco A.; O'Neal, Matthew E.; Opatovsky, Itai; Ortiz-Martinez, Sebaastian; Nash, Michael; Östman, Örjan; Ouin, Annie; Pak, Damie; Paredes, Daniel; Parsa, Soroush; Parry, Hazel; Perez-Alvarez, Ricardo; Perović, David J.; Peterson, Julie A.; Petit, Sandrine; Philpott, Stacy M.; Plećaš, Milan; Pluess, Therese; Pons, Xavier; Potts, Simon G.; Pywell, Richard F.; Ragsdale, David W.; Rand, Tatyana A.; Raymond, Lucie; Ricci, Benoît; Sargent, Chris; Sarthou, Jean-Pierre; Saulais, Julia; Schäckermann, Jessica; Schmidt, Nick P.; Schneider, Gudrun; Schüepp, Christof; Sivakoff, Frances S.; Smith, Henrik G.; Whitney, Kaitlin Stack; Stutz, Sonja; Szendrei, Zsofia; Takada, Mayura B.; Taki, Hisatomo; Tamburini, Giovanni; Thomson, Linda J.; Tricault, Yann; Tsafack, Noelline; Tschumi, Matthias; Valantin-Morison, Muriel; Van Trinh, Mai; van der Werf, Wopke; Vierling, Kerri T.; Werling, Ben P.; Wickens, Jennifer B.; Wickens, Victoria J.; Woodcock, Ben A.; Wyckhuys, Kris; Xiao, Haijun; Yasuda, Mika; Yoshioka, Akira; Zou, Yi

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.
Files (13.9 MB)
Name Size
BioControlDatabase.xlsx
md5:9fdd4b45452607a316c935a5fc1acfe0
13.8 MB Download
README_for_BioControlDatabase.docx
md5:7ab05a331a7001fe55349eb9cb270610
20.6 kB Download
49
9
views
downloads
Views 49
Downloads 9
Data volume 41.6 MB
Unique views 45
Unique downloads 8

Share

Cite as