4.7 Review

Modelling Agroforestry's Contributions to People-A Review of Available Models

Journal

AGRONOMY-BASEL
Volume 11, Issue 11, Pages -

Publisher

MDPI
DOI: 10.3390/agronomy11112106

Keywords

agroforestry; modelling; nature's contribution to people; ecosystem functions

Funding

  1. Hessisches Landesamt fur Naturschutz, Umwelt und Geologie (HLNUG) [Z1-15C c 01.02]
  2. Hessisches Ministerium fur Umwelt, Klima, Landwirtschaft und Verbraucherschutz (HMUKLV)
  3. Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy [EXC 2070-390732324]

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Climate change, environmental pollution, loss of biodiversity, and increasing human population with food demand threaten the functioning of agro-ecosystems. Agroforestry systems offer benefits to enhance nature's contributions, but empirical assessments of impacts are challenging. Simulation models can help assess and predict the role of agroforestry in nature's contributions.
Climate change, increasing environmental pollution, continuous loss of biodiversity, and a growing human population with increasing food demand, threaten the functioning of agro-ecosystems and their contribution to people and society. Agroforestry systems promise a number of benefits to enhance nature's contributions to people. There are a wide range of agroforestry systems implemented representing different levels of establishment across the globe. This range and the long time periods for the establishment of these systems make empirical assessments of impacts on ecosystem functions difficult. In this study we investigate how simulation models can help to assess and predict the role of agroforestry in nature's contributions. The review of existing models to simulate agroforestry systems reveals that most models predict mainly biomass production and yield. Regulating ecosystem services are mostly considered as a means for the assessment of yield only. Generic agroecosystem models with agroforestry extensions provide a broader scope, but the interaction between trees and crops is often addressed in a simplistic way. The application of existing models for agroforestry systems is particularly hindered by issues related to code structure, licences or availability. Therefore, we call for a community effort to connect existing agroforestry models with ecosystem effect models towards an open-source, multi-effect agroforestry modelling framework.

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