Temperature and rainfall patterns constrain the multidimensional rewilding of global forests

Guiyao Zhou, Xuhui Zhou, David J. Eldridge, Ximei Han, Yanjun Song, Ruiqiang Liu, Lingyan Zhou, Yanghui He, Zhenggang Du, Manuel Delgado-Baquerizo

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

The long-term contribution of global forest restoration to support multiple dimensions of biodiversity and ecosystem function remains largely illusive across contrasting climates and forest types. This hampers the capacity to predict the future of forest rewilding under changing global climates. Here, 120 studies are synthesized across five continents, and it is found that forest restoration promotes multiple dimensions of biodiversity and ecosystem function such as soil fertility, plant biomass, microbial habitat, and carbon sequestration across contrasting climates and forest types. Based on global relationship between stand age and soil organic carbon stock, planting 350 million hectares of forest under the UN Bonn Challenge can sequester >30 Gt soil C in the surface 20 cm over the next century. However, these findings also indicate that predicted increases in temperature and reductions in precipitation can constrain the positive effects of forest rewilding on biodiversity and ecosystem function. Further, important tradeoffs are found in very old forests, with considerable disconnection between biodiversity and ecosystem function. Together, these findings provide evidence of the importance of the multidimensional rewilding of forests, suggesting that on-going climatic changes may dampen the expectations of the positive effects of forest restoration on biodiversity and ecosystem function.
Original languageEnglish
Article number2201144
Number of pages6
JournalAdvanced Science
Volume9
Issue number18
DOIs
Publication statusPublished - 2022

Open Access - Access Right Statement

© 2022 The Authors. Advanced Science published by Wiley-VCH GmbH. This is an open access article under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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