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http://dx.doi.org/10.25673/120822
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DC Field | Value | Language |
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dc.contributor.author | Bonato, Marta | - |
dc.contributor.author | Burian, Alfred | - |
dc.contributor.author | Equihua, Juliàn A. | - |
dc.contributor.author | Cord, Anna F. | - |
dc.contributor.author | Bartkowski, Bartosz | - |
dc.contributor.author | Strauch, Michael | - |
dc.date.accessioned | 2025-10-15T05:41:21Z | - |
dc.date.available | 2025-10-15T05:41:21Z | - |
dc.date.issued | 2025 | - |
dc.identifier.uri | https://opendata.uni-halle.de//handle/1981185920/122777 | - |
dc.identifier.uri | http://dx.doi.org/10.25673/120822 | - |
dc.description.abstract | The implementation of agri-environmental practices (AEPs) is a key strategy to reach biodiversity and environmental objectives in agricultural landscapes, but their widespread application is often hampered by perceived trade-offs with crop production. However, the extent of these trade-offs remains poorly understood and has rarely been quantified in real-world case studies. Hence, our aim was to analyze trade-offs between crop yield, water quality and farmland biodiversity using an optimization approach for the spatial allocation of AEPs for a catchment in Eastern Germany. Potential AEPs were selected based on a co design approach with local stakeholders (stakeholder-based scenario) and were complemented by additional AEPs to reach current EU policies targets (policy-based scenarios). Consequences for crop production and environmental objectives were evaluated through spatially-explicit crop, water and biodiversity models. Contrary to common perception, we found that crop losses required to increase environmental objectives were marginal (maximum loss of 1.1% in the stakeholder based scenario). The implementation of AEPs even led to win-win outcomes for crop production and environmental objectives in over 20% of the Pareto-optimal solutions as compared to the status quo. These win-win outcomes resulted merely from biophysical effects as positive biodiversity feedbacks to agriculture were not included in our model. Spatial optimization of AEPs allocation was key to mediating trade-offs across scenarios, highlighting the large potential of spatially explicit approaches for the management of agricultural landscapes. | eng |
dc.language.iso | eng | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject.ddc | 550 | - |
dc.title | Minimizing trade-offs in agricultural landscapes through optimal spatial allocation of agri-environmental practices | eng |
dc.type | Article | - |
local.versionType | publishedVersion | - |
local.bibliographicCitation.journaltitle | Journal of environmental management | - |
local.bibliographicCitation.volume | 393 | - |
local.bibliographicCitation.publishername | Elsevier | - |
local.bibliographicCitation.publisherplace | Amsterdam [u.a.] | - |
local.bibliographicCitation.doi | 10.1016/j.jenvman.2025.126939 | - |
local.openaccess | true | - |
dc.identifier.ppn | 1935946633 | - |
cbs.publication.displayform | 2025 | - |
local.bibliographicCitation.year | 2025 | - |
cbs.sru.importDate | 2025-10-15T05:40:43Z | - |
local.bibliographicCitation | Enthalten in Journal of environmental management - Amsterdam [u.a.] : Elsevier, 1990 | - |
local.accessrights.dnb | free | - |
Appears in Collections: | Open Access Publikationen der MLU |
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1-s2.0-S0301479725029159-main.pdf | 8.66 MB | Adobe PDF | ![]() View/Open |