Details
| Original language | English |
|---|---|
| Article number | 108250 |
| Journal | Agriculture, Ecosystems and Environment |
| Volume | 342 |
| Early online date | 3 Nov 2022 |
| Publication status | Published - 1 Feb 2023 |
Abstract
Natural pest control has the potential to reduce pesticide use. Therefore, it has an essential role to play in the transition towards a more sustainable agriculture. For the prediction of natural pest control, it is essential to understand the distribution of the species providing this ecosystem service. The presence of pests and natural enemies depends on a combination of abiotic and biotic factors, each playing a determining role at different spatial scales. We developed a hierarchical model composed of environmental predictors including bioclimatic and land use variables at the European scale, as well as landscape complexity and biotic interactions at the landscape scale. This paper presents the predicted distribution of 111 species from seven different arthropod families (two pest aphid species and their natural enemy species) in an agricultural region in northern Germany. The hierarchical framework allows determining the capacity of landscapes to support pest control ecosystem services provided by arthropods at the local scale and informs on vulnerable areas or potential mismatches between natural pest control demand and supply. Thereby it can support the design of local scale measures for habitat improvement, biodiversity conservation and the increase of ecosystem services supply. The hierarchical approach can be adapted to other agroecosystems and leaves potential for further adaptations to improve the prediction of pests and their natural enemy distribution, dynamics and factors influencing their spatial distribution.
Keywords
- Arthropod community, Biological control, Ensemble species distribution models, Hierarchical models, Joint species distribution models, Landscape complexity, Natural enemies, Species richness
ASJC Scopus subject areas
- Environmental Science(all)
- Ecology
- Agricultural and Biological Sciences(all)
- Animal Science and Zoology
- Agricultural and Biological Sciences(all)
- Agronomy and Crop Science
Sustainable Development Goals
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In: Agriculture, Ecosystems and Environment, Vol. 342, 108250, 01.02.2023.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Modelling potential natural pest control ecosystem services provided by arthropods in agricultural landscapes
AU - Perennes, Marie
AU - Diekötter, Tim
AU - Hoffmann, Hannes
AU - Martin, Emily A.
AU - Schröder, Boris
AU - Burkhard, Benjamin
N1 - Funding Information: This study was partly funded by the BiodivERsA project “IMAGINE”, supported in Germany by the BMBF – Federal Ministry for Research and Education. M.P. was supported by a grant from the Graduate Academy of the Leibniz University of Hannover .
PY - 2023/2/1
Y1 - 2023/2/1
N2 - Natural pest control has the potential to reduce pesticide use. Therefore, it has an essential role to play in the transition towards a more sustainable agriculture. For the prediction of natural pest control, it is essential to understand the distribution of the species providing this ecosystem service. The presence of pests and natural enemies depends on a combination of abiotic and biotic factors, each playing a determining role at different spatial scales. We developed a hierarchical model composed of environmental predictors including bioclimatic and land use variables at the European scale, as well as landscape complexity and biotic interactions at the landscape scale. This paper presents the predicted distribution of 111 species from seven different arthropod families (two pest aphid species and their natural enemy species) in an agricultural region in northern Germany. The hierarchical framework allows determining the capacity of landscapes to support pest control ecosystem services provided by arthropods at the local scale and informs on vulnerable areas or potential mismatches between natural pest control demand and supply. Thereby it can support the design of local scale measures for habitat improvement, biodiversity conservation and the increase of ecosystem services supply. The hierarchical approach can be adapted to other agroecosystems and leaves potential for further adaptations to improve the prediction of pests and their natural enemy distribution, dynamics and factors influencing their spatial distribution.
AB - Natural pest control has the potential to reduce pesticide use. Therefore, it has an essential role to play in the transition towards a more sustainable agriculture. For the prediction of natural pest control, it is essential to understand the distribution of the species providing this ecosystem service. The presence of pests and natural enemies depends on a combination of abiotic and biotic factors, each playing a determining role at different spatial scales. We developed a hierarchical model composed of environmental predictors including bioclimatic and land use variables at the European scale, as well as landscape complexity and biotic interactions at the landscape scale. This paper presents the predicted distribution of 111 species from seven different arthropod families (two pest aphid species and their natural enemy species) in an agricultural region in northern Germany. The hierarchical framework allows determining the capacity of landscapes to support pest control ecosystem services provided by arthropods at the local scale and informs on vulnerable areas or potential mismatches between natural pest control demand and supply. Thereby it can support the design of local scale measures for habitat improvement, biodiversity conservation and the increase of ecosystem services supply. The hierarchical approach can be adapted to other agroecosystems and leaves potential for further adaptations to improve the prediction of pests and their natural enemy distribution, dynamics and factors influencing their spatial distribution.
KW - Arthropod community
KW - Biological control
KW - Ensemble species distribution models
KW - Hierarchical models
KW - Joint species distribution models
KW - Landscape complexity
KW - Natural enemies
KW - Species richness
UR - http://www.scopus.com/inward/record.url?scp=85141341489&partnerID=8YFLogxK
U2 - 10.1016/j.agee.2022.108250
DO - 10.1016/j.agee.2022.108250
M3 - Article
AN - SCOPUS:85141341489
VL - 342
JO - Agriculture, Ecosystems and Environment
JF - Agriculture, Ecosystems and Environment
SN - 0167-8809
M1 - 108250
ER -