Author
Listed:
- Wang Li
(State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences
Aarhus University
Aarhus University)
- Wen-Yong Guo
(Aarhus University
Aarhus University
East China Normal University)
- Maya Pasgaard
(Aarhus University
Aarhus University
Aarhus University)
- Zheng Niu
(State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences)
- Li Wang
(State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences)
- Fang Chen
(International Research Center of Big Data for Sustainable Development Goals (CBAS))
- Yuchu Qin
(International Research Center of Big Data for Sustainable Development Goals (CBAS))
- Jens-Christian Svenning
(Aarhus University
Aarhus University)
Abstract
Climate change and human activities strongly influence forests, but uncertainties persist about the pervasiveness of these stressors and how they will shape future forest structure. Disentangling the relative influences of climate and human activities on global forest structure is essential for understanding and predicting the role of forests in biosphere carbon cycling and biodiversity conservation as well as for climate mitigation strategies. Using a synthetic forest canopy structure index, we map forest structural density at a near-global scale using a satellite dataset. We find distinct latitudinal patterns of multidimensional forest structure and that forests in protected areas (PAs) and so-called intact forest landscapes (IFLs) have an overall higher structural density than other forests. Human factors are the second-most important driver of forest structure after climate (temperature and rainfall), both globally and regionally, with negative associations to structural density. Human factors are the dominant driver of regional-scale variation in structural density in 35.1% of forests globally and even of forest structure in 31.4% and 22.4% of forests in PAs and IFLs, respectively. As anthropogenic forest degradation clearly affects many areas that are formally protected or perceived to be intact, it is vital to counteract human impacts more effectively in the planning and sustainable management of PAs and IFLs.
Suggested Citation
Wang Li & Wen-Yong Guo & Maya Pasgaard & Zheng Niu & Li Wang & Fang Chen & Yuchu Qin & Jens-Christian Svenning, 2023.
"Human fingerprint on structural density of forests globally,"
Nature Sustainability, Nature, vol. 6(4), pages 368-379, April.
Handle:
RePEc:nat:natsus:v:6:y:2023:i:4:d:10.1038_s41893-022-01020-5
DOI: 10.1038/s41893-022-01020-5
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natsus:v:6:y:2023:i:4:d:10.1038_s41893-022-01020-5. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.