Compositional diversity of rehabilitated tropical lands supports multiple ecosystem services and buffers uncertainties

2016 | journal article

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

Cite this publication

​Compositional diversity of rehabilitated tropical lands supports multiple ecosystem services and buffers uncertainties​
Knoke, T.; Paul, C. ; Hildebrandt, P.; Calvas, B.; Castro, L. M.; Härtl, F. & Döllerer, M. et al.​ (2016) 
Nature Communications7(1) art. 11877​.​ DOI: https://doi.org/10.1038/ncomms11877 

Documents & Media

License

Published Version

Attribution 4.0 CC BY 4.0

Details

Authors
Knoke, Thomas; Paul, Carola ; Hildebrandt, Patrick; Calvas, Baltazar; Castro, Luz Maria; Härtl, Fabian; Döllerer, Martin; Hamer, Ute; Windhorst, David; Wiersma, Yolanda F.; Curatola Fernández, Giulia F.; Obermeier, Wolfgang A.; Adams, Julia; Breuer, Lutz; Mosandl, Reinhard; Beck, Erwin; Weber, Michael; Stimm, Bernd; Haber, Wolfgang; Fürst, Christine; Bendix, Jörg
Abstract
High landscape diversity is assumed to increase the number and level of ecosystem services. However, the interactions between ecosystem service provision, disturbance and landscape composition are poorly understood. Here we present a novel approach to include uncertainty in the optimization of land allocation for improving the provision of multiple ecosystem services. We refer to the rehabilitation of abandoned agricultural lands in Ecuador including two types of both afforestation and pasture rehabilitation, together with a succession option. Our results show that high compositional landscape diversity supports multiple ecosystem services (multifunction effect). This implicitly provides a buffer against uncertainty. Our work shows that active integration of uncertainty is only important when optimizing single or highly correlated ecosystem services and that the multifunction effect on landscape diversity is stronger than the uncertainty effect. This is an important insight to support a land-use planning based on ecosystem services.
Issue Date
2016
Journal
Nature Communications 
Organization
Fakultät für Forstwissenschaften und Waldökologie ; Burckhardt-Institut ; Abteilung Forstökonomie und nachhaltige Landnutzungsplanung 
ISSN
2041-1723
eISSN
2041-1723
Language
English

Reference

Citations


Social Media