Toggle Main Menu Toggle Search

Open Access padlockePrints

A Framework to Assess Forest-Agricultural Landscape Management for Socioecological Well-Being Outcomes

Lookup NU author(s): Professor Yit Arn TehORCiD, Professor Stephen Rushton, Professor Marion PfeiferORCiD

Downloads


Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

Global demand for agricultural products continues to grow. However, efforts to boost productivity exacerbate existing pressures on nature, both on farms and in the wider landscape. There is widespread appreciation of the critical need to achieve balance between biodiversity and human well-being in rural tropical crop production landscapes, that are essential for livelihoods and food security. There is limited empirical evidence of the interrelationships between natural capital, the benefits and costs of nature and its management, and food security in agricultural landscapes. Agroforestry practices are frequently framed as win-win solutions to reconcile the provision of ecosystem services important to farmers (i.e., maintaining soil quality, supporting pollinator, and pest control species) with nature conservation. Yet, underlying trade-offs (including ecosystem disservices linked to pest species or human-wildlife conflicts) and synergies (e.g., impact of ecosystem service provision on human well-being) are seldom analysed together at the landscape scale. Here, we propose a systems model framework to analyse the complex pathways, with which natural capital on and around farms interacts with human well-being, in a spatially explicit manner. To illustrate the potential application of the framework, we apply it to a biodiversity and well-being priority landscape in the Southern Agricultural Growth Corridor of Tanzania, a public-private partnership for increasing production of cash and food crops. Our framework integrates three main dimensions: biodiversity (using tree cover and wildlife as key indicators), food security through crop yield and crop health, and climate change adaptation through microclimate buffering of trees. The system model can be applied to analyse forest-agricultural landscapes as socio-ecological systems that retain the capacity to adapt in the face of change in ways that continue to support human well-being. It is based on metrics and pathways that can be quantified and parameterised, providing a tool for monitoring multiple outcomes from management of forest-agricultural landscapes. This bottom-up approach shifts emphasis from global prioritisation and optimisation modelling frameworks, based on biophysical properties, to local socio-economic contexts relevant in biodiversity-food production interactions across large parts of the rural tropics.


Publication metadata

Author(s): Milheiras SG, Sallu SM, Marshall AR, Shirima DD, Kioko EN, Loveridge R, Moore E, Olivier P, Teh YA, Rushton S, Pfeifer M

Publication type: Article

Publication status: Published

Journal: Frontiers in Forests and Global Change

Year: 2022

Volume: 5

Online publication date: 26/05/2022

Acceptance date: 11/04/2022

Date deposited: 05/12/2024

ISSN (electronic): 2624-893X

Publisher: Frontiers Media SA

URL: https://doi.org/10.3389/ffgc.2022.709971

DOI: 10.3389/ffgc.2022.709971

Data Access Statement: The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.


Altmetrics

Altmetrics provided by Altmetric


Funding

Funder referenceFunder name
BBSRC Global Challenges Research Fund, reference BB/S014586/1

Share