Tree islands enhance biodiversity and functioning in oil palm landscapes

2023 | journal article. A publication with affiliation to the University of Göttingen.

Jump to: Cite & Linked | Documents & Media | Details | Version history

Cite this publication

​Tree islands enhance biodiversity and functioning in oil palm landscapes​
Zemp, D. C.; Guerrero-Ramirez, N.; Brambach, F.; Darras, K.; Grass, I.; Potapov, A. & Röll, A. et al.​ (2023) 
Nature,.​ DOI: https://doi.org/10.1038/s41586-023-06086-5 

Documents & Media

document.pdf17.95 MBAdobe PDF

License

GRO License GRO License

Details

Authors
Zemp, Delphine Clara; Guerrero-Ramirez, Nathaly; Brambach, Fabian; Darras, Kevin; Grass, Ingo; Potapov, Anton; Röll, Alexander; Arimond, Isabelle; Ballauff, Johannes; Behling, Hermann; Kreft, Holger
Abstract
Abstract In the United Nations Decade on Ecosystem Restoration 1 , large knowledge gaps persist on how to increase biodiversity and ecosystem functioning in cash crop-dominated tropical landscapes 2 . Here, we present findings from a large-scale, 5-year ecosystem restoration experiment in an oil palm landscape enriched with 52 tree islands, encompassing assessments of ten indicators of biodiversity and 19 indicators of ecosystem functioning. Overall, indicators of biodiversity and ecosystem functioning, as well as multidiversity and ecosystem multifunctionality, were higher in tree islands compared to conventionally managed oil palm. Larger tree islands led to larger gains in multidiversity through changes in vegetation structure. Furthermore, tree enrichment did not decrease landscape-scale oil palm yield. Our results demonstrate that enriching oil palm-dominated landscapes with tree islands is a promising ecological restoration strategy, yet should not replace the protection of remaining forests.
Issue Date
2023
Journal
Nature 
Organization
Fakultät für Forstwissenschaften und Waldökologie ; Burckhardt-Institut ; Abteilung Waldbau und Waldökologie der Tropen ; Zentrum für Biodiversität und Nachhaltige Landnutzung 
ISSN
0028-0836
eISSN
1476-4687
Language
English

Reference

Citations


Social Media