Delineating the spatial drivers of agri-environment scheme adoption at field and farm levels

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 348, P. 119407 - 119407

Published: Oct. 27, 2023

Agri-environment schemes (AES), introduced by the EU Common Agricultural Policy (CAP), aim to compensate land owners for implementing environmentally-friendly practices. Whilst literature has examined their effectiveness and how farmer characteristics govern AES adoption, there is a lack of knowledge about spatial drivers AES, particularly structural, biophysical landscape factors in UK. Using Humber region as case study, this paper explores uptake Countryside Stewardship options varied from 2016 2021. It also examines 2500 farms field- farm-level data 2019 better understand what type British farmers are adopting on. Logistic regression analysis used identify (including farm characteristics, designated sites quality) that best explain overall well specific scheme at farm-level. Our reveals 'buffer strips', 'hedgerow management', 'permanent grassland', 'winter bird food' most commonly adopted 2019. generally on larger fields feature marginalised, unproductive vulnerable land, except strips' which showed tendency appear with more profitable, higher quality land. This therefore, supports notion placed lower large proportions agricultural not effectively targeted. With expected loss direct payments UK result Department Environment, Food & Rural Affairs (DEFRA) post-Brexit re-evaluation rural policy, these results call Sustainable Farming Incentive (SFI) be made accessible inclusive broader diversity farmers.

Language: Английский

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Do agri-environmental schemes target effectively species, habitats and pressures in French Natura 2000 network?

Agriculture Ecosystems & Environment, Journal Year: 2024, Volume and Issue: 373, P. 109114 - 109114

Published: June 28, 2024

Agriculture intensification is one of the most impacting drivers European biodiversity decline. The Natura 2000 (N2000) network constitutes a key tool for conservation species and natural habitats in Europe. Its action to counteract negative impacts agriculture mainly based on implementation Agri-environment schemes (AES) N2000 sites. As economical resources are usually limited, spatial targeting essential such policy. Here we evaluated whether AES distribution was coordination with habitat states, agriculture-driven pressures French network. Using Pressure-State-Response framework, tested hypothesis that were implemented sites mostly exposed pressures, having higher representativeness degradation levels. We combined different sources information (i.e., standard data forms policy, collected by observatory rural development national geographical information) produce pressure, state response indicators. declined analysis per category related agricultural activities considered vulnerability each pressure category. found limited between AES, variables: only 37 % fitted models significant. Significant relationships negative. Considering all indicators, our hypotheses disproven more than half significant relationships. results revealed mismatch ecological needs within network, as devoted less pressure. Our raise need strategic approach Indeed, level human should be automatically a-priori any management measures effectively focus efforts causes current crisis.

Language: Английский

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Factors Influencing the Perceived Economic Benefits of Innovative Agri-Environmental Contracts

Environmental Management, Journal Year: 2024, Volume and Issue: 74(4), P. 790 - 807

Published: Aug. 11, 2024

Abstract Continued innovation in contract design may enhance the delivery of agri-environmental climate public goods (AECPG), but barriers to adoption arise terms how farmers perceive economic benefits. Therefore, this paper examines survey data from Ireland and Netherlands analyse whether land managers agree that results-based, collective action, value chain tenure contracts for AECPG are understandable, applicable their farm economically beneficial. Using Probit models, we also identify groups who different types as being beneficial, these findings can inform policymakers farmer need adequate consideration during contracts. For example, greater incentives could encourage older enrol results-based Netherlands. We find a link between duration perceived benefits action both countries, with desiring longer duration. highlight apply lessons Netherlands, where they more common varied. Greater knowledge exchange users non-users such would help bridge gap theory practice countries.

Language: Английский

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Motivations for farmers’ participation in agri-environmental scheme in the EU, literature review

Open Agriculture, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract Agri-environmental schemes (AESs) play a pivotal role in aligning agricultural practices with environmental objectives, promoting sustainable land management, and conserving biodiversity. This article presents comprehensive synthesis of recent advancements AES research within the European Union context, focusing on ecological, economic, socio-political dimensions. Through systematic review literature published since 2013, we identify emerging trends, gaps, priorities, providing novel insights into effectiveness. We examine factors that influence participation such as biodiversity, habitat fragmentation, ecosystem services. also explore economic influencing farmer participation, including financial incentives, income stability, cost–benefit analysis. Furthermore, investigate dimensions AES, institutional frameworks, stakeholder engagement, trust programme implementation. Key findings highlight need for adaptive management strategies, incentive structures aligned inclusive governance mechanisms to enhance Our underscores importance context-specific approaches account farm characteristics, socio-economic factors, arrangements. Practical implications policymakers, practitioners, stakeholders are discussed, emphasizing evidence-based policymaking iterative learning agriculture conservation.

Language: Английский

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D5.3 Agent-based model at the European scale

Published: Dec. 12, 2024

This document presents the generalised linear model (GLM) and agent-based (ABM) that were developed in H2020 project BESTMAP to predict uptake of Agri-Environmental Schemes (AES) European Union. The deliverable is based on work done Work Package 4.1 (WP4.1) – Agent-Based Modelling Analysis BESTMAP. comprises a description particular implementation ABM including discussion how why Union differs from case study-specific models described Deliverable 4.1. link model’s code GitLab provided. Furthermore, data requirements potential limitations with respect accessibility are outlined. accompanied by structured form following ODD+D protocol (Müller et al., 2013) Appendix. focuses development GLM linked. As an outlook, research questions can be answered models, further extensions discussed. Additionally, it briefly discussed outputs will enhance biophysical modelling upscaling, which other part Task 5.2

Language: Английский

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