Suppr超能文献

农业林业系统实施的优先领域空间指标:农业景观恢复的优化策略。

Spatial indicator of priority areas for the implementation of agroforestry systems: An optimization strategy for agricultural landscapes restoration.

机构信息

UNESP/FCAV - São Paulo State University, Faculty of Agrarian and Veterinary Sciences, Access Way Prof. Paulo Donato Castellane, s/n, Jaboticabal, SP 14884-900, Brazil; POLUS-Land Use Policy Group, Paulista State University (UNESP), Access Way Prof. Paulo Donato Castellane, s/n, Jaboticabal, SP 14884-900, Brazil.

Guarulhos University (UNG), Praça Tereza Cristina, 239, 07023-070 Guarulhos, SP, Brazil; POLUS-Land Use Policy Group, Paulista State University (UNESP), Access Way Prof. Paulo Donato Castellane, s/n, Jaboticabal, SP 14884-900, Brazil.

出版信息

Sci Total Environ. 2022 Sep 15;839:156185. doi: 10.1016/j.scitotenv.2022.156185. Epub 2022 May 23.

Abstract

The ecological functions restoration in agricultural areas is a major challenge on a landscape scale. In the specific case of active restoration through Agroforestry Systems (AFS), the absence of a specific direction hinders ecological restoration processes, especially in regions that prefer intensive agriculture. Thus, this study aims to develop a Spatial Indicator of Priority Areas to guide Agroforestry Systems implementation in agricultural landscapes. A spatial multicriteria decision analysis (MDCA) was carried out based on environmental factors: soil, geology and slope (which determine the natural vulnerability of the land) and anthropogenic factors: land use and land cover, forest fragments, potential land use capacity and legal protected areas in rural properties (which reflects human pressure and land use suitability). Subsequently, four priority levels were classified for agroforestry interventions: (1) Low priority; (2) Average priority; (3) High priority; (4) Extreme priority. A final map was made to identify priority areas for landscape recovery in 9 cities located at the mouth of the Mogi Guaçu River Hydrographic Basin, State of São Paulo, Brazil. Considering the natural vulnerability of the land and the multifunctional aspects of the landscape, the scenarios projection allowed a consensus for forest conservation and agricultural suitability perspectives. A final combination of the explored aspects culminated in the spatial indicator, which model foresees 22,300 ha available for urgent actions for restoration, reforestation and sustainable exploitation through agroforestry systems. We emphasize the challenges in reconciling the socioeconomic and ecological functions in the agroecosystem, however, the metric provides a more inclusive and assertive management strategy for natural resources and advances towards the goal of reforestation and implementation of payment for environmental services (PES) schemes.

摘要

农业区的生态功能恢复是景观尺度上的一个主要挑战。在通过农林复合系统(AFS)进行主动恢复的具体情况下,缺乏具体的方向会阻碍生态恢复进程,特别是在偏好集约化农业的地区。因此,本研究旨在开发一个优先领域空间指标,以指导农业景观中的农林复合系统实施。基于环境因素(决定土地自然脆弱性的土壤、地质和坡度)和人为因素(土地利用和土地覆盖、森林片段、潜在土地利用能力和农村财产的法定保护区,反映人类压力和土地利用适宜性),进行了空间多准则决策分析(MDCA)。随后,根据农林复合干预的优先级,将四个优先级水平进行了分类:(1)低优先级;(2)中等优先级;(3)高优先级;(4)极高优先级。最后制作了一张地图,以确定巴西圣保罗州莫吉瓜苏河流域 9 个城市景观恢复的优先区域。考虑到土地的自然脆弱性和景观的多功能性,情景预测允许在森林保护和农业适宜性方面达成共识。对所探讨方面的最终组合产生了空间指标,该模型预测有 22300 公顷土地可用于通过农林复合系统进行紧急恢复、重新造林和可持续利用的行动。我们强调了在农业生态系统中协调社会经济和生态功能的挑战,然而,该指标提供了一种更具包容性和自信的自然资源管理策略,并朝着重新造林和实施环境服务付费(PES)计划的目标迈进。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验