土地利用及景观格局演变对生态系统服务价值的影响  

The effects of land use structure and landscape pattern change on ecosystem service values

作　　者：王航[1,2,3] 秦奋[1] 朱筠[1] 张传才[1] 

机构地区：[1]黄河中下游数字地理技术教育部重点实验室,开封475004 [2]河南大学环境与规划学院,开封475004 [3]韩山师范学院旅游管理与烹饪学院,潮州521041

出　　处：《生态学报》2017年第4期1286-1296,共11页Acta Ecologica Sinica

基　　金：国家科技支撑计划项目(2013BAC05B01);河南省重大科技专项(121100111300);潮州市科技支撑项目

摘　　要：基于1990—2013年土地利用数据和统计年鉴数据,构建CPI指数修订生态系统服务价值(ESV)系数,并进行淮河上游土地利用结构及空间格局的时空演变特征分析和ESV评价研究,探讨ESV对土地利用结构和格局变化的响应关系。结果表明:(1)淮河上游区域ESV整体呈上升趋势,1995—2005年ESV出现波动下降,在2010年前后明显上升,2010—2013年ESV增值高于其他时段;(2)ESV增量呈现山地>丘陵区>平原区的地形梯度效应,且其生态增值主要来源于林地和水域贡献;(3)ESV与土地利用时空变化和土地景观格局丰度和聚集度变化存在明显相关,说明了合理的土地利用开发方式及适当的开发速度将有助于改善生态系统服务,开发过程要兼顾地类优势,避免地类斑块过度破碎化;(4)CPI指数修订ESV系数方法,能够消除时间序列内物价变动因素,使得计算结果更贴近实际ESV,提高了多个时期生态系统服务评价的准确性和可比性。It is important to study the effect of land use change on ecosystem service value （ESV）. Most previous studies have tended to directly use the ecosystem service equivalent value to calculate the ESV and then have compared multi period ESVs. Because of the use of different price bases, even if the value of the same ecosystem is assessed using multi period ESVs, the conclusions can be very different, which means there has to be a deviation evaluation. In order to improve the accuracy of these comparisons, we developed a Consumer price index（CPI） revised ESV coefficient method for multi period ESV computation. The upper reaches of the Huaihe River was used as a case study to estimate the spatial distribution and dynamics of ecosystem services. In this study, we used the land use and statistical yearbook data to investigate how the spatial-temporal evolution of land use structure and spatial patterns affect the ESV. The results showed that （1） the ESV generally showed an increasing trend in the study region. Between 1995 and 2005, the ESV decreased, but then increased significantly around 2010. Furthermore, the increase from 2010 to 2013 was higher than that for any other period. （2） The ESV increase was higher in mountain areas than in hilly areas, and the increase in hilly areas was higher than that in the plains, which shows a topographical gradient effect. The increase was mainly because of the contributions made by forest and water ecosystems. （3） There were significant correlations between the ESV and land use change and Aggregation index （AI） and Number of patches（NP）landscape pattern indexes. These correlations show that a reasonable model for land use development and an appropriate development rate will help enhance ecosystem services. The development process should take into account the advantages that different land types can offer so that excessive fragmentation of land type patches can be avoided. （4） A method that uses the CPI index to revise ESV coefficients means that t

关 键 词：生态系统服务价值 土地利用变化 景观格局 时空分异 淮河上游 

分 类 号：P901[天文地球—自然地理学] F301.2[经济管理—产业经济] X171[环境科学与工程—环境科学]