Nature-based climate solutions can safeguard the world's threatened species

This dataset consists of three output raster layers: Climate change mitigation potential across all areas that qualify for investible nature-based climate solutions (tCO₂e ha^-1yr^-1); Climate change mitigation potential of areas of nature-based climate solutions that could be profitable (tCO₂e ha^-1yr^-1); Net present value estimates of these profitable areas based on the baseline scenario ($ha^-1yr^-1). It also contains two output csv files (biodiversity benefits at country-level and species level), and one R-script that provides an example of our analyses. This dataset is designed to accompany Zeng et al. and the full methodology is described in that publication. Briefly, in this study we modelled the potential financial returns of nature-based climate solutions that focus on avoided habitat loss and restoration of terrestrial forests, grasslands, peatswamp forests and mangrove forests, across the globe. We then determined the potential for financially viable sites to safeguard the distributional ranges of 3,975 species of mammals, amphibians and birds which are currently threatened by range restriction or reduction. Last, we calculated the effect of increasing the price of carbon on the coverage of species ranges. Details of this methods can be in “Dataset overview”. For questions or issues on the spatial data layers, please contact Yiwen Zeng ([e-mail]).本数据集包含三类输出栅格图层：一是覆盖所有符合可投资基于自然的气候解决方案（nature-based climate solutions, NbS）资格区域的气候变化减缓潜力（单位：吨二氧化碳当量每公顷每年，tCO₂e ha⁻¹yr⁻¹）；二是具备盈利潜力的基于自然的气候解决方案区域的气候变化减缓潜力（单位：吨二氧化碳当量每公顷每年，tCO₂e ha⁻¹yr⁻¹）；三是基于基准情景的上述盈利区域的净现值估算结果（单位：美元每公顷每年，$ha⁻¹yr⁻¹）。 本数据集同时附带两份CSV格式输出文件（分别为国家级与物种级生物多样性效益数据），以及一份用于演示本研究分析流程的R脚本。本数据集配套Zeng等人的研究成果，完整研究方法已在该发表论文中详细说明。 简言之，本研究针对全球范围内以避免栖息地丧失、修复陆地森林、草原、泥炭沼泽森林及红树林为目标的基于自然的气候解决方案，对其潜在财务收益开展了建模分析。随后，我们明确了具备财务可行性的点位可保护3975种当前因分布范围受限或缩减而面临生存威胁的哺乳动物、两栖动物与鸟类的分布区域。最后，我们测算出碳价格上涨对物种分布区覆盖范围的影响效应。相关方法细节可参阅“数据集概览”章节。 若您对空间数据图层存在疑问或问题，请联系曾依雯（Yiwen Zeng），邮箱：[e-mail]。