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1. 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 more...

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. more...

Published
2018

2. From individuals to ecosystems : a study of the temporal and spatial variation in ecological network structure

Author

Henri, Dominic Charles, van Veen, Frank, and Hodgson, Dave

Subjects
577, foraging behaviour, host-parasitoid networks, conservation biological control, population dynamics, allometry, body-size, network structure, ecosystem services
Abstract

Ecological network theory has developed from studies of static, binary trophic relationships to the analysis of quantitative, dynamic communities consisting of multiple link-types. Particularly, work has focused on the dynamic nature of ecological networks, which maintains stability in complex communities. However, there are few in situ network-level studies of the determinants of temporal and spatial variation in community structure. This thesis utilises data from a 10-year study of a host-parasitoid network and a collaborative study in an applied ecological setting to identify individual level factors important to network structure. The work aims towards an empirical, predictive framework linking adaptive foraging behaviour to ecological network structure. The results show that condition-dependent foraging behaviours structure host-parasitoid networks. The realised niches of the studied parasitoid species were generally biased towards larger host species and condition-dependent sex ratio allocation increased the likelihood that females would eclose from relatively larger hosts and males from relatively smaller hosts, which resulted in sex ratios deviating from Hamiltonian (50:50) predictions. Further, both of these aspects of behaviour are plastic, where parasitoid behaviour responded to environmental heterogeneity. Particularly, host preference behaviour conformed to an egg-/time-limitation framework, where the size dependency of the behaviour is greater when individuals have a greater likelihood of being egg-limited. Both the size-dependency and the plasticity of these behaviours differed significantly between secondary parasitoid species. This species identity effect interacted with landscape heterogeneity, which may explain some inter- and intra-specific variation in network structure. With respect to applied ecology, the results show that the benefits of natural vegetation for pest control are dependent upon the dispersal capabilities and the diet breadth of the pest and its natural enemies. The findings are evaluated towards a predictive framework for understanding the effects of future climate change on community structure and stability. We consider this framework in terms of applied ecology, particularly pest control ecosystem services provided by natural vegetation in an agricultural environment. The synergistic nature of the multiple determinants of network structure found in this thesis suggest that future studies should focus on the whole network, which is not necessarily the sum of its parts. more...

Published
2014

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5. 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 more...

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. more...

Published
2018