基于CASA模型的植被净初级生产力时空演变格局及其影响因素——以湖北省为例  

Analysis of the Spatiotemporal Evolution Patterns of Vegetation Net Primary Productivity and Its Influencing Factors Based on CASA Model——A Case Study of Hubei Province

作　　者：陈晓杰[1] 张长城 张金亭[1] 王静[1] CHEN Xiaojie;ZHANG Changcheng;ZHANG Jinting;WANG Jing(School of Resources and Environmental Sciences,Wuhan University,Wuhan 430079,China;Wuhan Brigade of Hydrogeology and Engineering Geology,Wuhan 430051,China)

机构地区：[1]武汉大学资源与环境科学学院,武汉430079 [2]湖北省地质局武汉水文地质工程地质大队,武汉430051

出　　处：《水土保持研究》2022年第3期253-261,共9页Research of Soil and Water Conservation

基　　金：国家自然科学基金项目“滨海开发带生态用地保护效率演变与空间效应研究”(41871203);自然资源部中国地质调查局项目(DD20189123)。

摘　　要：为了揭示湖北省植被NPP的时空演变规律及驱动机制,基于CASA模型计算2000—2018年湖北省植被NPP,结合气象数据和土地利用数据,利用重心模型、相关性分析和贡献指数等方法分析植被NPP的时空变化及其影响因素。结果表明:(1)2000—2018年湖北省植被NPP年均值介于532.19~656.49 g C/(m^(2)·a),整体呈波动上升趋势;(2)湖北省植被NPP在空间分布上表现为由西北向东南递减的趋势,植被NPP重心迁移轨迹呈M型,西北地区的增量和增速较大高于东南地区。(3)湖北省植被NPP与年均气温呈正相关的区域面积占全省总面积的54.49%,主要分布在荆门、荆州地区以及宜昌东南部地区;年均NPP与年降水量呈正相关的面积高达87.65%,主要分布在随州、襄阳和孝感北部地区。(4)2000—2018年研究区域内NPP总量增加19.86×10^(-2)Tg C,在土地利用变化引起的NPP损益中,主要由其他土地类型向林地、耕地和草地转换引起;不同时期土地覆盖变化对NPP总量的贡献率有所差异,2000—2010年建设用地贡献率最高为53.81%,2010—2018年耕地贡献率最高为61.53%。In order to reveal the spatiotemporal variations of NPP and its influencing factors,the NPP of vegetation in Hubei Province was calculated from 2000 to 2018 by using the CASA model.Based on the combination of meteorological data with land use data,the spatiotemporal variations of NPP and its influencing factors were analyzed by using the gravity center model,correlation analysis and contribution index.The results show that:(1)the annual NPP ranged from 532.19 to 656.49 g C/(m^(2)·a)in Hubei Province from 2000 to 2018,and showed an increasing trend of fluctuation;(2)the spatial distribution of vegetation NPP in Hubei Province showed a decreasing trend from northwest to southeast,and the migration trajectory of vegetation NPP was M-shaped;the increment and growth rate of vegetation NPP in northwest region were higher than those in southeast region;(3)the regions with significant correlation between NPP and temperature mainly distributed in Jingmen,Jingzhou and southeastern Yichang,while the regions with significant correlation between NPP and rainfall mainly distributed in Suizhou,Xiangyang and northern Xiaogan;(4)the change of total NPP from woodland to cultivated land was the most important driver of the NPP gains and losses caused by land use change,and the added value was 27.42×10^(-2) Tg C;land use changes of cultivated land and construction land had the highest contribution rate to NPP.

关 键 词：净初级生产力 CASA模型 气候变化 重心模型 湖北省 

分 类 号：Q948[生物学—植物学]