Loes A. Verkuil , Peter H. Verburg , Christian Levers , Anne Elise Stratton , Catharina J.E. Schulp
{"title":"荷兰生态农业的亮点:生态农业实践与收入稳定性的空间分析","authors":"Loes A. Verkuil , Peter H. Verburg , Christian Levers , Anne Elise Stratton , Catharina J.E. Schulp","doi":"10.1016/j.agsy.2024.104086","DOIUrl":null,"url":null,"abstract":"<div><h3>Context</h3><p>Agroecological practices are known to reduce environmental pressure of farming systems and increase food system resilience in tropical regions. In contrast, in the temperate climate and industrialized agricultural context of the Netherlands, agroecology use remains limited and its impacts are unknown. As agroecological systems can form a sustainable alternative to conventional farming, it is relevant to study to what extent farmers use agroecological practices in the Netherlands, potentially serving as a model for transition.</p></div><div><h3>Objective</h3><p>This study assesses spatial patterns of uptake of agroecological practices and their relationship with income resilience.</p></div><div><h3>Methods</h3><p>Using data from 735 Dutch farms, we created a composite Agroecology Index to quantify the extent of use of agroecological practices. The FAO's 10 Elements of Agroecology framework was used to select indicators for the index, by selecting the six of the Elements in this framework for which our dataset contained suitable data. Linear regressions explored underlying factors, such as farm size and farm type. Using an outlier analysis, bright and dark spot farms, exceeding or lagging the Dutch average, were mapped. We evaluated the effects of agroecological practices on income resilience over a 10-year period.</p></div><div><h3>Results and conclusions</h3><p>On a 0–100 scale, agroecology scores ranged from 16.5% to 61.1% (36.6 ± 7.0), with stark contrasts between different Elements of agroecology. Arable farms excelled in Diversity, while livestock farms performed better in Efficiency. Spatial variation was substantial, with both bright and dark spots dispersed across the country. We found highest average scores and the strongest prevalence of bright spots in the province of Flevoland, an area with an exceptional number of organic farmers. Higher agroecology scores were linked to increased income stability, independent of farm size or type.</p></div><div><h3>Significance</h3><p>The methods developed in this study provide an approach to address the growing demand for evidence of the upscaling of agroecology in practice. Also, the relationships between agroecology and social and environmental outcomes from farm to regional scales can be addressed, which can guide developments towards sustainable agriculture.</p></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"220 ","pages":"Article 104086"},"PeriodicalIF":6.1000,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0308521X24002361/pdfft?md5=14a5e8a7052ba9e6701380eab5dd5a3e&pid=1-s2.0-S0308521X24002361-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Bright spots of agroecology in the Netherlands: A spatial analysis of agroecological practices and income stability\",\"authors\":\"Loes A. Verkuil , Peter H. Verburg , Christian Levers , Anne Elise Stratton , Catharina J.E. Schulp\",\"doi\":\"10.1016/j.agsy.2024.104086\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Context</h3><p>Agroecological practices are known to reduce environmental pressure of farming systems and increase food system resilience in tropical regions. In contrast, in the temperate climate and industrialized agricultural context of the Netherlands, agroecology use remains limited and its impacts are unknown. As agroecological systems can form a sustainable alternative to conventional farming, it is relevant to study to what extent farmers use agroecological practices in the Netherlands, potentially serving as a model for transition.</p></div><div><h3>Objective</h3><p>This study assesses spatial patterns of uptake of agroecological practices and their relationship with income resilience.</p></div><div><h3>Methods</h3><p>Using data from 735 Dutch farms, we created a composite Agroecology Index to quantify the extent of use of agroecological practices. The FAO's 10 Elements of Agroecology framework was used to select indicators for the index, by selecting the six of the Elements in this framework for which our dataset contained suitable data. Linear regressions explored underlying factors, such as farm size and farm type. Using an outlier analysis, bright and dark spot farms, exceeding or lagging the Dutch average, were mapped. We evaluated the effects of agroecological practices on income resilience over a 10-year period.</p></div><div><h3>Results and conclusions</h3><p>On a 0–100 scale, agroecology scores ranged from 16.5% to 61.1% (36.6 ± 7.0), with stark contrasts between different Elements of agroecology. Arable farms excelled in Diversity, while livestock farms performed better in Efficiency. Spatial variation was substantial, with both bright and dark spots dispersed across the country. 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Bright spots of agroecology in the Netherlands: A spatial analysis of agroecological practices and income stability
Context
Agroecological practices are known to reduce environmental pressure of farming systems and increase food system resilience in tropical regions. In contrast, in the temperate climate and industrialized agricultural context of the Netherlands, agroecology use remains limited and its impacts are unknown. As agroecological systems can form a sustainable alternative to conventional farming, it is relevant to study to what extent farmers use agroecological practices in the Netherlands, potentially serving as a model for transition.
Objective
This study assesses spatial patterns of uptake of agroecological practices and their relationship with income resilience.
Methods
Using data from 735 Dutch farms, we created a composite Agroecology Index to quantify the extent of use of agroecological practices. The FAO's 10 Elements of Agroecology framework was used to select indicators for the index, by selecting the six of the Elements in this framework for which our dataset contained suitable data. Linear regressions explored underlying factors, such as farm size and farm type. Using an outlier analysis, bright and dark spot farms, exceeding or lagging the Dutch average, were mapped. We evaluated the effects of agroecological practices on income resilience over a 10-year period.
Results and conclusions
On a 0–100 scale, agroecology scores ranged from 16.5% to 61.1% (36.6 ± 7.0), with stark contrasts between different Elements of agroecology. Arable farms excelled in Diversity, while livestock farms performed better in Efficiency. Spatial variation was substantial, with both bright and dark spots dispersed across the country. We found highest average scores and the strongest prevalence of bright spots in the province of Flevoland, an area with an exceptional number of organic farmers. Higher agroecology scores were linked to increased income stability, independent of farm size or type.
Significance
The methods developed in this study provide an approach to address the growing demand for evidence of the upscaling of agroecology in practice. Also, the relationships between agroecology and social and environmental outcomes from farm to regional scales can be addressed, which can guide developments towards sustainable agriculture.
期刊介绍:
Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments.
The scope includes the development and application of systems analysis methodologies in the following areas:
Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making;
The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment;
Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems;
Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.