Spatial datalayers and associated R code used to derive the statistics on potential carbon benefits from different biodiversity focused spatial management measures of the seabed in the UK

associated data and r code for the paper epstein & roberts 2022 - "does biodiversity focused protection of the seabed deliver carbon benefits? a uk case study." this repository contains the spatial datalayers and associated r code used to derive the statistics on potential carbon benefits from different biodiversity focused spatial management measures in the uk. the input data required can be found in an asociatted reposititory from the plos climate paper epstein & roberts (2022) identifying priority areas to manage mobile bottom fishing on seabed carbon in the uk. https://doi.org/10.1371/journal.pclm.0000059. data at - https://www.seanoe.org/data/00784/89590/

本数据集包含与 Epstein & Roberts (2022) 年发表的论文《针对海底生物多样性的保护措施是否能带来碳效益？一项英国案例研究》相关的关联数据及 R 语言代码。该仓库存储了用于推导英国不同生物多样性关注型空间管理措施潜在碳效益的统计数据所需的空间数据层和相关 R 语言代码。所需输入数据可从 PLOS Climate 纸质出版物 Epstein & Roberts (2022) 所附的相关仓库中获取，该仓库旨在识别英国海底碳优先管理区域，以实现移动底拖网作业的管理。数据链接：https://www.seanoe.org/data/00784/89590。