{"title":"将生物多样性影响纳入土地使用决策","authors":"Cindy G. Azuero-Pedraza , Valerie M. Thomas","doi":"10.1016/j.ecolmodel.2024.110852","DOIUrl":null,"url":null,"abstract":"<div><p>We develop a framework for incorporating biodiversity impacts into land use optimization models. Using the countryside species–area relationship, six approaches to incorporating biodiversity are evaluated: constraint versus objective function, and with characterization factors, piecewise linear, or non-linear implementation. We also consider the underlying ethical assumptions of different options for biodiversity evaluation considering taxa and ecoregions. To explore the six approaches, we use a case study that considers both climate change mitigation and the biodiversity impact due to habitat loss. We find that the characterization factor approach underestimates biodiversity loss, while the piecewise linear approach somewhat overestimates. Utilizing two approaches: biodiversity protection as the objective, and biodiversity as a constraint allows the construction of a Pareto frontier for cost versus loss of species. In addition to minimum cost solutions and minimum biodiversity loss solutions, the integrated model allows to identify (1) solutions with improved outcomes, those better for biodiversity and with small changes on costs, (2) mechanisms the model uses to achieve the improved solutions, (3) trade-offs and (4) challenges.</p></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"497 ","pages":"Article 110852"},"PeriodicalIF":2.6000,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0304380024002400/pdfft?md5=61889b147a6202e116f9834ce1884737&pid=1-s2.0-S0304380024002400-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Incorporating biodiversity impacts in land use decisions\",\"authors\":\"Cindy G. Azuero-Pedraza , Valerie M. Thomas\",\"doi\":\"10.1016/j.ecolmodel.2024.110852\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>We develop a framework for incorporating biodiversity impacts into land use optimization models. Using the countryside species–area relationship, six approaches to incorporating biodiversity are evaluated: constraint versus objective function, and with characterization factors, piecewise linear, or non-linear implementation. We also consider the underlying ethical assumptions of different options for biodiversity evaluation considering taxa and ecoregions. To explore the six approaches, we use a case study that considers both climate change mitigation and the biodiversity impact due to habitat loss. We find that the characterization factor approach underestimates biodiversity loss, while the piecewise linear approach somewhat overestimates. Utilizing two approaches: biodiversity protection as the objective, and biodiversity as a constraint allows the construction of a Pareto frontier for cost versus loss of species. In addition to minimum cost solutions and minimum biodiversity loss solutions, the integrated model allows to identify (1) solutions with improved outcomes, those better for biodiversity and with small changes on costs, (2) mechanisms the model uses to achieve the improved solutions, (3) trade-offs and (4) challenges.</p></div>\",\"PeriodicalId\":51043,\"journal\":{\"name\":\"Ecological Modelling\",\"volume\":\"497 \",\"pages\":\"Article 110852\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-09-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0304380024002400/pdfft?md5=61889b147a6202e116f9834ce1884737&pid=1-s2.0-S0304380024002400-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Modelling\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0304380024002400\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Modelling","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304380024002400","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
Incorporating biodiversity impacts in land use decisions
We develop a framework for incorporating biodiversity impacts into land use optimization models. Using the countryside species–area relationship, six approaches to incorporating biodiversity are evaluated: constraint versus objective function, and with characterization factors, piecewise linear, or non-linear implementation. We also consider the underlying ethical assumptions of different options for biodiversity evaluation considering taxa and ecoregions. To explore the six approaches, we use a case study that considers both climate change mitigation and the biodiversity impact due to habitat loss. We find that the characterization factor approach underestimates biodiversity loss, while the piecewise linear approach somewhat overestimates. Utilizing two approaches: biodiversity protection as the objective, and biodiversity as a constraint allows the construction of a Pareto frontier for cost versus loss of species. In addition to minimum cost solutions and minimum biodiversity loss solutions, the integrated model allows to identify (1) solutions with improved outcomes, those better for biodiversity and with small changes on costs, (2) mechanisms the model uses to achieve the improved solutions, (3) trade-offs and (4) challenges.
期刊介绍:
The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).