Agroecosystem services: A review of concepts, indicators, assessment methods and future research perspectives. (September 2022)

• Record Type: Journal Article
• Authors: Liu, Qinghua; Sun, Xiao; Wu, Wenbin; Liu, Zhenhuan; Fang, Guangji; Yang, Peng
• Is Part Of: Ecological indicators. Volume 142(2022)
• Publication Date: 2022-09
• Subjects: Agroecosystem -- Agroecosystem services (AES) -- Indicators -- Quantitative methods -- Sustainable agricultural development; Environmental monitoring -- Periodicals; Environmental management -- Periodicals; Environmental impact analysis -- Periodicals; Environmental risk assessment -- Periodicals; Sustainable development -- Periodicals; 333.71405
• DOI: 10.1016/j.ecolind.2022.109218
• Languages: English
• ISSNs: 1470-160X

Abstract

Highlights: We reviewed the progress, indicators, and methods of agroecosystem services. Agroecosystem services are closely related to agroecosystem functions and human agricultural practices. Multi-source data fusion for integrated model will be the tendency for agroecosystem service assessment. Agricultural landscape planning and governance can help to improve agroecosystem services and achieve sustainable development goals (SDGs). Abstract: Agroecosystems benefit from many ecosystem services and are frequently managed to increase productivity. In recent years, agricultural industrialization has caused the loss of some important ecosystem services in agroecosystems, hindering some sustainable development goals (SDGs). In order to promote sustainable agricultural development, it is necessary to restore the damaged agroecosystems and improve agroecosystem services (AES). However, there are relatively few studies on AES, and fewer studies concerning the definition or connotation of AES. Therefore, this paper reviews current AES research, indicators, and assessment methods, as well as directions for future research. AES are determined by agroecosystem functions and human agricultural practices, with both positive and negative effects, scale effects, and trade-offs and synergies between AES. AES indicators can be classified as provisioning services, regulating services, and cultural services, with a few studies including supporting services. Currently, the main AES assessment methods include public participation, empirical model, mechanism model, and value estimation. Multi-source data fusion for integrated models to assess multiple AES will be the future research trend. In addition, AES research should develop additional promising topics, including considering both AES and agroecosystem disservices (AEDS); assessing AES supply, demand, and flow; and analyzing AES trade-offs and synergies comprehensively. This will extend the research field to the links between AES and SDGs and their applications in agricultural landscape planning and governance. This review highlights the importance of AES research to more effectively manage agroecosystems and promote sustainable agricultural development.