文献类型：期刊文献

中文题名：小流域生态系统服务评估方法综述

英文题名：A Review of Assessment Methods for Ecosystem Services in Small Watershed

作者：曾素平[1] 姜春前[1] 白彦锋[1] 王辉[1] 刘恩[1] 陈仕友[1] 郭利娜[1]

机构：[1]中国林业科学研究院林业研究所,北京100091

年份：2025

卷号：38

期号：2

起止页码：1-8

中文期刊名：世界林业研究

外文期刊名：World Forestry Research

收录：;北大核心:【北大核心2023】；

基金：十四五国家重点研发项目“南方低山丘陵区山水林田湖草沙系统治理技术与示范”(2022YFF1303000)。

语种：中文

中文关键词：生态系统服务;小流域;生态模型法;价值评价法;经验统计模型法

外文关键词：ecosystem service;small watershed;ecological modeling method;value evaluation method;empirical statistical modeling method

分类号：X826

摘要：小流域是山地丘陵区生产建设与生态治理的基本单元,评估其生态系统服务对掌握区域生态系统现状具有重要价值。文中梳理国内外小流域尺度生态系统服务(ESs)评估方法,将其分为生态模型法、价值评价法和经验统计模型法3类,进而从供需评估视角、方法适用范围和基础数据要求等方面对比分析不同方法的适用情况及优缺点。研究表明:在小流域ESs评估中,运用生态模型法和价值评价法更为常见。生态模型法应用范围广,且模型种类多、发展较为成熟;但对数据精度和模型参数要求较高,且亟需通过大量实测数据进行验证。价值评价法可用货币价值直观表征服务功能,适用尺度较多,但较难体现服务的时空异质性。经验统计模型法通过历史数据与环境变量建立统计关系模型,适用于水资源管理、土壤保持等服务评估,但评估结果受数据质量和非线性关系限制较大。未来研究需继续完善ESs供需指标体系、提高评估精度并加强对不同评估方法的横向对比。
Small watershed is the basic unit of production and ecological management in mountainous and hilly areas,and its ecosystem service assessment is of great significance to understand the current situation of regional ecosystem.This paper reviews the national and international methods for ecosystem service assessment at the scale of small watershed and their research progress,and categorizes them into ecological modeling,value evaluation,and empirical statistical modeling.Then,their applicability and advantages/disadvantages are compared and analyzed from the perspectives of assessment supply and demand,applicable scope,and basic data requirements.The findings indicate that ecological modeling and value evaluation are the most used methods in small watershed ecosystem service assessments.Ecological modeling,widely applied and well-developed with a variety of models,requires high data precision,extensive model parameters,and substantial field data for validation.Value evaluation,on the other hand,can visually represent ecosystem services in monetary terms,allowing for the wide application scope,although it is difficult to capture the spatiotemporal heterogeneity of ecosystem services.The empirical statistical modeling approach establishes statistical relationship models using historical data and environmental variables.It is suitable for evaluating services such as water resource management and soil retention;however,the assessment results are significantly constrained by data quality and nonlinear relationships.The study recommends that future research should focus on the supply and demand indicator systems for ecosystem services,the improvement of assessment accuracy,and the enhancement of horizontal comparison among different assessment methods.