摘要
以4期遥感反演数据为基础,采用影响生态系统质量状况的生态参数修订当量因子并建立生态系统服务价值(ESV)估算模型,在GIS空间分析支持下,综合分析了三峡库区2000~2015年ESV时空演变特征及其驱动力。结果表明:①研究区生态系统类型以森林和农田为主,占比分别达到了60%和30%;15 a间,各生态系统类型变化显著,其中森林和聚落增长明显,分别增长了644.53 km^2和567.24 km^2,反之农田和草地下降了723.58,588.62 km^2。②研究区总ESV波动增长,增长了51.44亿元,增幅为1.38%。各类ESV中森林贡献率最大,其价值占研究区总量的比例各时段均达到了75%以上,且呈持续增长趋势;研究区生态系统服务功能类型主要以水文调节和气候调节为主,且两者ESV均呈小幅增长。③研究区ESV空间分布地域差异明显,总体呈"南北高-东西低"的分布格局,ESV高值区主要分布在大巴山、巫山、七曜山、方斗山等中低山植被覆盖较好的区域,以及长江、嘉陵江干流;低值区主要分布在长江沿岸中大型城市建成区及周边;空间演变方面,研究区ESV变化呈"高增-低减"变化趋势。④驱动力分析结果显示,城镇化率是影响研究区ESV的首要驱动因素,说明区域城市化进程速度、社会经济发展水平与ESV关系密切,优化国土空间布局能有效提升三峡库区生态系统服务价值。
Based on four periods remote sensing inversion data,the ecological parameters affecting the ecosystem quality were used to revise the equivalent factor and establish the ESV estimation model.Supported by GIS,the spatial-temporal evolution characteristics and driving factors of the ESV in the Three Gorges Reservoir Area from 2000 to 2015 were studied by the remote sensing data.The results showed that:(1)Forest and farmland were the main ecosystem types in the study area,accounting for 60%and 30%of the study area respectively.In the last 15 years,the types of ecosystem changed significantly,among which forest and settlement significantly increased by 644.53 km^2 and 567.24 km^2 respectively.On the contrary,farmland and grassland decreased by 723.58 km^2 and 588.62 km^2.(2)The total ESV increased by 5.144 billion yuan,with an increasing rate of 1.38%.Forest contributed the most to ESV,its value accounted for more than 75%of the total ESV in each period,with a continuous increasing trend.Types of ecosystem services function were mainly composed of hydrological regulation and climate regulation,and the ESV of both types were slightly increased in each period.(3)The spatial distribution of ESV in the study area varied,and the overall distribution pattern was"north-south high and east-west low".The areas with high ESV were mainly distributed in areas with good vegetation coverage in the middle and low mountains such as Daba Mountain,Wushan Mountain,Qiyao Mountain and Fangdou Mountain,as well as the main stream of the Yangtze River and Jialing River.The areas with low ESV were mainly distributed in the built-up areas and surrounding areas of large and medium-sized cities along the Yangtze River.In terms of spatial evolution,the ESV variation in the study area showed a trend of"high increase-low decrease".(4)Driving force results showed that the urbanization rate was the primary driving factor affecting the ESV in the study area,indicating that the speed of regional urbanization and the level of the social economic development level were closely related to ESV.Optimizing the land space layout can effectively improve the ecosystem service value in the Three Gorges Reservoir Area.
作者
齐静
邓伟
周渝
罗旭
QI Jing;DENG Wei;ZHOU Yu;LUO Xu(Environmental Planning Institute,Chongqing Academy of Environment Science,Chongqing 400020,China;State Key Laboratory of Coal Mine Disaster Dynamics and Control,Chongqing University,Chongqing 400044,China)
出处
《人民长江》
北大核心
2020年第1期113-119,共7页
Yangtze River
基金
国家社科基金项目“三峡库区乡村旅游扶贫绩效研究”(16XJY017)
重庆市科研机构绩效激励引导专项项目“重庆市生态资产评估”(cstc2018jxjl20016)
重庆市科研机构绩效激励引导专项项目“长江经济带生态保护红线监管体系研究”(cstc2018jxjl20010)
重庆市生态环境局重大科技项目“生态保护红线监管制度研究”
重庆市生态环境局重大科技项目“基于生态资产时空演变的重庆市生态保护红线生态补偿标准研究”.
关键词
生态系统服务价值
时空演变
驱动力
三峡库区
ecosystem service value
spatial-temporal evolution
driving force
Three Gorges Reservoir Area
