Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.1007/s10980-023-01709-8
Lizenz creative commons licence
Volltext HORIZON 2020 Publikation
Titel (primär) Farm structure and environmental context drive farmers’ decisions on the spatial distribution of ecological focus areas in Germany
Autor Alarcón-Segura, V.; Roilo, S.; Paulus, A. ORCID logo ; Beckmann, M. ORCID logo ; Klein, N.; Cord, A.F.
Quelle Landscape Ecology
Erscheinungsjahr 2023
Department CLE
Band/Volume 38
Heft 9
Seite von 2293
Seite bis 2305
Sprache englisch
Topic T5 Future Landscapes
Keywords Farm context; Farmland biodiversity; Field context; Greening policy; Multinomial regression; Soil conditions; Terrain conditions; Spatial allocation
Horizon 2020
Projektname Behavioural, Ecological and Socio-economic Tools for Modelling Agricultural Policy
Akronym BestMap
Grant Number
Erscheinungsdatum 06.07.2023
European Union (EU); Euratom
Euratom research and training programme 2014-2018
Abstract Context
Ecological Focus Areas (EFAs) were designed as part of the greening strategy of the common agricultural policy to conserve biodiversity in European farmland, prevent soil erosion and improve soil quality. Farmers receive economic support if they dedicate at least 5% of their arable farmland to any type of EFA, which can be selected from a list of options drawn up at the European Union level. However, EFAs have been criticized for failing to achieve their environmental goals and being ineffective in conserving farmland biodiversity, mainly because they are not spatially targeted and because they promote economic rather than ecological considerations in farm management decisions.
We used a spatially explicit approach to assess the influence of farm and field context as well as field terrain and soil conditions on the likelihood of whether or not a particular EFA type was implemented in a field. Methods We used a multinomial model approach using field-level land use and management data from 879 farms that complied with the EFA policy in 2019 in the Mulde River Basin in Saxony, Germany. Geospatial environmental information was used to assess which predictor variables (related to farm context, field context or field terrain and soil conditions) increased the probability of a field being assigned to a particular EFA. We tested the hypothesis that productive EFAs are more often implemented on fields that are more suitable for agricultural production and that EFA options that are considered more valuable for biodiversity (e.g. non-productive EFAs) are allocated on fields that are less suitable for agricultural production.
We found that farms embedded in landscapes with a low proportion of small woody features or nature conservation areas mainly fulfilled the EFA policy with productive EFAs (e.g. nitrogen fixing crops). Conversely, farms with a higher proportion of small woody features or nature conservation areas were more likely to adopt non-productive EFAs. As predicted, large and compact fields with higher soil fertility and lower erosion risk were assigned to productive EFAs. Non-productive EFAs were placed on small fields in naturally disadvantaged areas. EFA options considered particularly beneficial for biodiversity, such as fallow land, were allocated far away from other semi-natural or nature protection areas.
Our results highlight that the lack of spatial targeting of EFAs may result in EFA options being assigned to areas where their relative contribution to conservation goals is lower (e.g. farms with higher shares of protected areas) and absent in areas where they are most needed (e.g. high intensity farms). To ensure that greening policies actually promote biodiversity in European agriculture, incentives are needed to encourage greater uptake of ecologically effective measures on intensively used farms. These should be coupled with additional measures to conserve threatened species with specific habitat requirements.
dauerhafte UFZ-Verlinkung
Alarcón-Segura, V., Roilo, S., Paulus, A., Beckmann, M., Klein, N., Cord, A.F. (2023):
Farm structure and environmental context drive farmers’ decisions on the spatial distribution of ecological focus areas in Germany
Landsc. Ecol. 38 (9), 2293 - 2305 10.1007/s10980-023-01709-8