{"title":"应对气候变化:面对地区极端天气采用农林业","authors":"Christian Stetter , Johannes Sauer","doi":"10.1016/j.ecolecon.2024.108266","DOIUrl":null,"url":null,"abstract":"<div><p>The cultivation of agroforestry systems is regarded as an effective strategy that can help synergistically mitigate and adapt to the adverse impacts of climate change and regional extreme weather events. This study addresses the question of whether, and under what conditions, farmers are likely to adopt agroforestry systems in response to regional weather extremes and presents a novel research approach to tackle this question. A discrete choice experiment was conducted to elicit farmers’ preferences for agroforestry and wood-based land use systems. The results were combined with geospatial weather information. Assuming adaptive weather expectations, land users’ dynamic responses to extreme weather were simulated in terms of adoption probabilities. Farmers in the case study region in southeastern Germany were found to have a negative preference for alley cropping systems (i.e. agroforestry) and short rotation coppice, compared to an exclusively crop-based land use system. However, the results from the simulation of a 2018-like extreme weather event showed that alley cropping has a high probability of being adopted in the long-term. This study provides novel insights into the adaptive uptake of climate-resilient agroforestry systems. This information can be used to develop more effective policies and programs to promote agroforestry as a climate-resilient land-use strategy.</p></div>","PeriodicalId":51021,"journal":{"name":"Ecological Economics","volume":null,"pages":null},"PeriodicalIF":6.6000,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0921800924001630/pdfft?md5=aa90c904606e2450c8a134c44b2da3d5&pid=1-s2.0-S0921800924001630-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Tackling climate change: Agroforestry adoption in the face of regional weather extremes\",\"authors\":\"Christian Stetter , Johannes Sauer\",\"doi\":\"10.1016/j.ecolecon.2024.108266\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The cultivation of agroforestry systems is regarded as an effective strategy that can help synergistically mitigate and adapt to the adverse impacts of climate change and regional extreme weather events. This study addresses the question of whether, and under what conditions, farmers are likely to adopt agroforestry systems in response to regional weather extremes and presents a novel research approach to tackle this question. A discrete choice experiment was conducted to elicit farmers’ preferences for agroforestry and wood-based land use systems. The results were combined with geospatial weather information. Assuming adaptive weather expectations, land users’ dynamic responses to extreme weather were simulated in terms of adoption probabilities. Farmers in the case study region in southeastern Germany were found to have a negative preference for alley cropping systems (i.e. agroforestry) and short rotation coppice, compared to an exclusively crop-based land use system. However, the results from the simulation of a 2018-like extreme weather event showed that alley cropping has a high probability of being adopted in the long-term. This study provides novel insights into the adaptive uptake of climate-resilient agroforestry systems. This information can be used to develop more effective policies and programs to promote agroforestry as a climate-resilient land-use strategy.</p></div>\",\"PeriodicalId\":51021,\"journal\":{\"name\":\"Ecological Economics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":6.6000,\"publicationDate\":\"2024-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0921800924001630/pdfft?md5=aa90c904606e2450c8a134c44b2da3d5&pid=1-s2.0-S0921800924001630-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0921800924001630\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0921800924001630","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
Tackling climate change: Agroforestry adoption in the face of regional weather extremes
The cultivation of agroforestry systems is regarded as an effective strategy that can help synergistically mitigate and adapt to the adverse impacts of climate change and regional extreme weather events. This study addresses the question of whether, and under what conditions, farmers are likely to adopt agroforestry systems in response to regional weather extremes and presents a novel research approach to tackle this question. A discrete choice experiment was conducted to elicit farmers’ preferences for agroforestry and wood-based land use systems. The results were combined with geospatial weather information. Assuming adaptive weather expectations, land users’ dynamic responses to extreme weather were simulated in terms of adoption probabilities. Farmers in the case study region in southeastern Germany were found to have a negative preference for alley cropping systems (i.e. agroforestry) and short rotation coppice, compared to an exclusively crop-based land use system. However, the results from the simulation of a 2018-like extreme weather event showed that alley cropping has a high probability of being adopted in the long-term. This study provides novel insights into the adaptive uptake of climate-resilient agroforestry systems. This information can be used to develop more effective policies and programs to promote agroforestry as a climate-resilient land-use strategy.
期刊介绍:
Ecological Economics is concerned with extending and integrating the understanding of the interfaces and interplay between "nature''s household" (ecosystems) and "humanity''s household" (the economy). Ecological economics is an interdisciplinary field defined by a set of concrete problems or challenges related to governing economic activity in a way that promotes human well-being, sustainability, and justice. The journal thus emphasizes critical work that draws on and integrates elements of ecological science, economics, and the analysis of values, behaviors, cultural practices, institutional structures, and societal dynamics. The journal is transdisciplinary in spirit and methodologically open, drawing on the insights offered by a variety of intellectual traditions, and appealing to a diverse readership.
Specific research areas covered include: valuation of natural resources, sustainable agriculture and development, ecologically integrated technology, integrated ecologic-economic modelling at scales from local to regional to global, implications of thermodynamics for economics and ecology, renewable resource management and conservation, critical assessments of the basic assumptions underlying current economic and ecological paradigms and the implications of alternative assumptions, economic and ecological consequences of genetically engineered organisms, and gene pool inventory and management, alternative principles for valuing natural wealth, integrating natural resources and environmental services into national income and wealth accounts, methods of implementing efficient environmental policies, case studies of economic-ecologic conflict or harmony, etc. New issues in this area are rapidly emerging and will find a ready forum in Ecological Economics.