five

Reconciling diverse viewpoints within systematic conservation planning

收藏
DataONE2023-02-03 更新2024-06-08 收录
下载链接:
https://search.dataone.org/view/sha256:7252e8cfa616ab0b799ea0176590ecd146757586d865d15f7451d6df11be1edd
下载链接
链接失效反馈
官方服务:
资源简介:
Conservation encompasses numerous alternative viewpoints on what to value (features such as biodiversity, ecosystem services or socio-economic benefits) and how to convert these values into conservation policies that deliver for nature and people. Reconciling these differing values and viewpoints in policy development and implementation is a perennial challenge. Balancing differing stakeholder viewpoints within a single conservation plan risks some viewpoints overshadowing others. This can occur as some dominant viewpoints may lead to more marginal views being suppressed, and also through social biases during the planning process. Here we develop four separate ‘caricature’ conservation viewpoints, and spatially quantify each of them in order to test different approaches to equitable reconciliation. Each viewpoint prioritises different locations, dependent on the extent to which they deliver a variety of different biodiversity, well-being and economic goals. We then show how these diffe..., Please see the README.md document and the accompanying published article: Cunningham, C.A., Crick, H.Q., Morecroft, M.D., Thomas, C.D., Beale, C.M. 2023. Reconciling diverse viewpoints within systematic conservation planning. People and Nature. https://doi.org/10.1002/pan3.10449. , Please see the README.md document and the accompanying published article: Cunningham, C.A., Crick, H.Q., Morecroft, M.D., Thomas, C.D., Beale, C.M. 2023. Reconciling diverse viewpoints within systematic conservation planning. People and Nature. https://doi.org/10.1002/pan3.10449. Software used: R R version 4.2.2 (2022-10-31 ucrt) -- \"Innocent and Trusting\"Copyright (C) 2022 The R Foundation for Statistical ComputingPlatform: x86_64-w64-mingw32/x64 (64-bit) Zonation Zonation 4.0.0rc1_compact, build: Sep 19 2014 18:16:13
创建时间:
2025-07-20
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作