Staff Publications

Staff Publications

  • external user (warningwarning)
  • Log in as
  • language uk
  • About

    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 538983
Title Exploring management strategies to enhance the provision of ecosystem services in complex smallholder agroforestry systems
Author(s) Andreotti, Federico; Mao, Zhun; Jagoret, Patrick; Speelman, Erika N.; Gary, Christian; Saj, Stephane
Source Ecological Indicators 94 (2018). - ISSN 1470-160X - p. 257 - 265.
DOI https://doi.org/10.1016/j.ecolind.2018.06.048
Department(s) Laboratory of Geo-information Science and Remote Sensing
Farming Systems Ecology
PE&RC
Publication type Refereed Article in a scientific journal
Publication year 2018
Abstract Agroforestry systems (AFS) can provide multiple ecosystem services (ES), partly due to their high (agro)biodiversity. However, multi-criteria analyses studying trade-offs between multiple ES and exploring AFS management optimization paths are still scarce. Routine methods, such as regressions or weighted/non-weighted scorings, may reveal unsuitable because data collections hardly meet rigorous statistical designs and knowledge about ES can be limited in such complex systems. In this paper, we explore a novel approach based on algorithms identifying Pareto fronts to check for management schemes which favour the multi-functionality of complex agroecosystems. We based our study on the ground truth data from 58 cocoa-based AFS fields in Cameroon and chose to study three ES: cocoa production, aboveground tree carbon storage and natural pest control. The combination of expert knowledge and Pareto front algorithms enabled us to identify four clusters of increasing ES provision among the 58 plots: “bottom”, “low-yield intermediate”, “high-yield intermediate”, and “top”. Significant differences in associated tree communities and management strategies were identified across the four clusters. While highlighting clusters of AFS with common management strategies, the use of the Pareto front algorithm enabled us to draw significant lessons on cocoa-based AFS despite their high complexity. We believe that such an approach can be used to design suitable benchmarks for the study and improvement of multiple ES provision in complex agroecosystems.
Comments
There are no comments yet. You can post the first one!
Post a comment
 
Please log in to use this service. Login as Wageningen University & Research user or guest user in upper right hand corner of this page.