Ecological indicators for monitoring coffee agroforestry systems in protected areas: A case study in São Paulo State, Brazil

IF 6.1 1区农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY

Agricultural Systems Pub Date : 2024-12-20 DOI:10.1016/j.agsy.2024.104245

Vitoria Duarte Derisso, Ricardo Gomes César, Ricardo Augusto Gorne Viani, Haroldo Borges Gomes, Edson Vidal

引用次数: 0

Abstract

Biodiverse coffee agroforestry systems (AFS) offer high potential for forest restoration. However, long-term monitoring using appropriate indicators is necessary to ensure successful ecological restoration. In the State of São Paulo, Brazil, legal instruments define ecological indicators and reference values for monitoring AFS-mediated ecological restoration.

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保护区内监测咖啡农林复合系统的生态指标：巴西圣保罗州的案例研究

生物多样性咖啡农林复合系统（AFS）为森林恢复提供了巨大潜力。然而，为了确保成功的生态恢复，必须使用适当的指标进行长期监测。在巴西圣保罗州，法律文书规定了监测afs介导的生态恢复的生态指标和参考值。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Agricultural Systems 农林科学-农业综合

CiteScore

13.30

自引率

7.60%

发文量

174

审稿时长

30 days

期刊介绍： Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. The scope includes the development and application of systems analysis methodologies in the following areas: Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making; The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment; Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems; Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.