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Decision Support System for the Assessment and Enhancement of Agrobiodiversity Performance.

Authors :
Marcelino, Sara Morgado
Gaspar, Pedro Dinis
Paço, Arminda
Lima, Tânia M.
Monteiro, Ana
Franco, José Carlos
Santos, Erika S.
Campos, Rebeca
Lopes, Carlos M.
Source :
Sustainability (2071-1050); Aug2024, Vol. 16 Issue 15, p6519, 17p
Publication Year :
2024

Abstract

The industrialisation of agriculture and changes in production systems have contributed to a biodiversity decline worldwide. Developing accurate and adequate assessment methods can encourage farmers to support more sustainable agricultural management. This study presents a decision support system to promote agrobiodiversity that incorporates not only a quantitative assessment of relevant indicators of agrobiodiversity performance but also provides enhancement practice recommendations and associated benefits, presenting an action plan in order of priority. Additionally, the decision support system allows a visual comparison between biodiversity composite indicators and indicators representing pest control and crop yield. Since grape cultivation is considered one of the most intensive agricultural systems, thus significantly impacting biodiversity, the elaborated decision support system was tested on a viticultural agroecosystem in the demarcated Douro region in Portugal. The results demonstrated the decision support system functioning according to the selected methodology and allowed the identification of future lines for investigation. During the analysed period, the following were verified: an increase of 2% in the biodiversity indicator, 130% in harvest yield, and 2077% in the enemy-to-pest ratio. It is expected that the elaborated DSS will offer a significant contribution by bridging communication gaps on alternative management options to improve biodiversity performance in agricultural systems. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20711050
Volume :
16
Issue :
15
Database :
Complementary Index
Journal :
Sustainability (2071-1050)
Publication Type :
Academic Journal
Accession number :
178951492
Full Text :
https://doi.org/10.3390/su16156519