five

Data from: Assessing and improving global grassland restoration: Drivers, current effectiveness, and future design

收藏
DataCite Commons2026-01-29 更新2026-04-25 收录
下载链接:
https://datadryad.org/dataset/doi:10.5061/dryad.8931zcs4r
下载链接
链接失效反馈
官方服务:
资源简介:
As the UN Decade on Ecosystem Restoration begins, grassland restoration projects are being scaled up globally. However, a new generation of opportunities and challenges requires a new generation of scientific guidance, particularly for grassland ecosystems that need restoration. Our meta-analysis indicated that grassland restoration significantly enhances biodiversity and ecosystem multifunctionality. However, biodiversity and ecosystem multifunctionality both increased in only half of the restoration observations, indicating that the effectiveness of global grassland restoration needs to be improved. Restoration methods and time were identified as important predictors of the effectiveness of grassland restoration. To address this, we conducted a multi-objective optimization to assess when, where, and how to better implement grassland restoration projects globally. This optimization aimed to provide targeted strategies for different grassland types and regions, considering the varying characteristics and needs of each biome.
提供机构:
Dryad
创建时间:
2025-11-05
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