Modelling and optimising associated biodiversity in alley cropping systems

Loading...
Thumbnail Image
Identifiers
ISSN: 2059-6936
E-ISSN: 2059-6944
ISBN: 978-1-80146-721-6

Publication date

Advisors

Tutors

Journal Title

Journal ISSN

Volume Title

Publisher

Burleigh Dodds Science Publishing
Metrics
Google Scholar
lacobus
Export

Research Projects

Organizational Units

Journal Issue

Abstract

Agricultural intensification, as well as the abandonment of traditional agriculture practices, can result in reduced biodiversity and ecosystem services that are difficult to reverse because of the long-time lags characterising the dynamics of socio-ecological systems (Santos et al., 2022b). Societal and ecological mechanisms interact, generating changes in biological communities and degradation of ecosystem functions that are misunderstood and, at a human generation time-scale, mostly irreversible. Our modelling approach complements previous work relating to agroforestry, management and biodiversity conservation. The simple demonstration, supported by partial contributions for overall diversity, reinforces the idea that agroforestry (in our case study, alley cropping) seems critical to halt biodiversity loss in agricultural landscapes. Despite the limitations inherent to a preliminary modelling exercise, the methodology developed provides a tarting point to anticipate the changes in associated biodiversity induced by farmer choices and management options, guiding pertinent future strategies to integrate crop production with nature.

Description

Keywords

Bibliographic citation

Santos, M., Gonçalves, B., Mosquera-Losada, M. R., Modelling and optimising associated biodiversity in alley cropping systems in Mosquera-Losada, M. R., Martin, L., Pantera, A., Chatrchyan, A. (2025), Advances in temperate agroforestry, pp. 247–276

Relation

Has part

Has version

Is based on

Is part of

Is referenced by

Is version of

Requires

Sponsors

Rights

© The Authors 2025. This is an open access chapter distributed under a Creative Commons Attribution 4.0 License (CC BY).
Attribution 4.0 International