Explicit modeling of abiotic and landscape factors reveals precipitation and forests associated with aphid abundance
Abstract
Abstract Increases in natural or noncrop habitat surrounding agricultural fields have been shown to be correlated with declines in insect crop pests. However, these patterns are highly variable across studies suggesting other important factors, such as abiotic drivers, which are rarely included in landscape models, may also contribute to variability in insect population abundance. The objective of this study was to explicitly account for the contribution of temperature and precipitation, in addition to landscape composition, on the abundance of a widespread insect crop pest, the soybean aphid ( Aphis glycines Matsumura), in Wisconsin soybean fields. We hypothesized that higher soybean aphid abundance would be associated with higher heat accumulation (e.g., growing degree days) and increasing noncrop habitat in the surrounding landscape, due to the presence of the overwintering primary hosts of soybean aphid. To evaluate these hypotheses, we used an ecoinformatics approach that relied on a large dataset collected across Wisconsin over a 9‐year period (2003–2011), for an average of 235 sites per year ( n = 2,110 fields total). We determined surrounding landscape composition (1.5‐km radius) using publicly available satellite‐derived land cover imagery and interpolated daily temperature and precipitation information from the National Weather Service COOP weather station network. Wemore »
- Authors:
-
- Department of Zoology University of Wisconsin–Madison 250 N Mills St Madison Wisconsin 53706 USA
- Department of Entomology University of Wisconsin–Madison 1630 Linden Drive Madison Wisconsin 53706 USA
- Department of Agronomy University of Wisconsin–Madison 1575 Linden Dr Madison Wisconsin 53706 USA
- Department of Entomology University of Wisconsin–Madison 1630 Linden Drive Madison Wisconsin 53706 USA, Department of Statistics University of Wisconsin–Madison 1300 University Ave Madison Wisconsin 53706 USA
- Department of Forest &, Wildlife Ecology University of Wisconsin–Madison 1630 Linden Drive Madison Wisconsin 53706 USA
- Wisconsin Department of Agriculture, Trade, and Consumer Protection 2811 Agriculture Drive Madison Wisconsin 53706 USA
- Department of Zoology University of Wisconsin–Madison 250 N Mills St Madison Wisconsin 53706 USA, Department of Entomology University of Wisconsin–Madison 1630 Linden Drive Madison Wisconsin 53706 USA
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1400782
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Ecological Applications
- Additional Journal Information:
- Journal Name: Ecological Applications Journal Volume: 26 Journal Issue: 8; Journal ID: ISSN 1051-0761
- Publisher:
- Wiley Blackwell (John Wiley & Sons)
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Stack Whitney, Kaitlin, Meehan, Timothy D., Kucharik, Christopher J., Zhu, Jun, Townsend, Philip A., Hamilton, Krista, and Gratton, Claudio. Explicit modeling of abiotic and landscape factors reveals precipitation and forests associated with aphid abundance. United States: N. p., 2016.
Web. doi:10.1002/eap.1418.
Stack Whitney, Kaitlin, Meehan, Timothy D., Kucharik, Christopher J., Zhu, Jun, Townsend, Philip A., Hamilton, Krista, & Gratton, Claudio. Explicit modeling of abiotic and landscape factors reveals precipitation and forests associated with aphid abundance. United States. https://doi.org/10.1002/eap.1418
Stack Whitney, Kaitlin, Meehan, Timothy D., Kucharik, Christopher J., Zhu, Jun, Townsend, Philip A., Hamilton, Krista, and Gratton, Claudio. Tue .
"Explicit modeling of abiotic and landscape factors reveals precipitation and forests associated with aphid abundance". United States. https://doi.org/10.1002/eap.1418.
@article{osti_1400782,
title = {Explicit modeling of abiotic and landscape factors reveals precipitation and forests associated with aphid abundance},
author = {Stack Whitney, Kaitlin and Meehan, Timothy D. and Kucharik, Christopher J. and Zhu, Jun and Townsend, Philip A. and Hamilton, Krista and Gratton, Claudio},
abstractNote = {Abstract Increases in natural or noncrop habitat surrounding agricultural fields have been shown to be correlated with declines in insect crop pests. However, these patterns are highly variable across studies suggesting other important factors, such as abiotic drivers, which are rarely included in landscape models, may also contribute to variability in insect population abundance. The objective of this study was to explicitly account for the contribution of temperature and precipitation, in addition to landscape composition, on the abundance of a widespread insect crop pest, the soybean aphid ( Aphis glycines Matsumura), in Wisconsin soybean fields. We hypothesized that higher soybean aphid abundance would be associated with higher heat accumulation (e.g., growing degree days) and increasing noncrop habitat in the surrounding landscape, due to the presence of the overwintering primary hosts of soybean aphid. To evaluate these hypotheses, we used an ecoinformatics approach that relied on a large dataset collected across Wisconsin over a 9‐year period (2003–2011), for an average of 235 sites per year ( n = 2,110 fields total). We determined surrounding landscape composition (1.5‐km radius) using publicly available satellite‐derived land cover imagery and interpolated daily temperature and precipitation information from the National Weather Service COOP weather station network. We constructed linear mixed models for soybean aphid abundance based on abiotic and landscape explanatory variables and applied model averaging for prediction using an information theoretic framework. Over this broad spatial and temporal extent in Wisconsin, we found that variation in growing season precipitation was positively related to soybean aphid abundance, while higher precipitation during the nongrowing season had a negative effect on aphid populations. Additionally, we found that aphid populations were higher in areas with proportionally more forest but were lower in areas where minor crops, such as small grains, were more prevalent. Thus, our findings support our hypothesis that including abiotic drivers increases our understanding of crop pest abundance and distribution. Moreover, by explicitly modeling abiotic factors, we may be able to explore how variable climate in tandem with land cover patterns may affect current and future insect populations, with potentially critical implications for crop yields and agricultural food webs.},
doi = {10.1002/eap.1418},
journal = {Ecological Applications},
number = 8,
volume = 26,
place = {United States},
year = {Tue Nov 22 00:00:00 EST 2016},
month = {Tue Nov 22 00:00:00 EST 2016}
}
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