Spatial and Temporal Variation Pattern of Vegetation NPP in Guangxi Based on GIS

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英文篇名：Spatial and Temporal Variation Pattern of Vegetation NPP in Guangxi Based on GIS 作者：Chungui ; LIAO ; Xiaoju ; XIONG ; Haizhen ; ZHU ; Baoqing ; HU ; Yuelian ; CHEN 英文作者：Chungui LIAO;Xiaoju XIONG;Haizhen ZHU;Baoqing HU;Yuelian CHEN;Key Laboratory of Environment Change and Resources Use in Beibu Gulf,Guangxi Teachers Education University;Guangxi Key Laboratory of Earth Surface Processes and Intelligent Simulation,Guangxi Teachers Education University;School of Geography and Planning,Guangxi Teachers Education University; 英文关键词：Net primary productivity(NPP);;Standard deviation;;Spatial and temporal variation;;Guangxi 中文刊名：AAGR 英文刊名：亚洲农业研究(英文版) 机构：Key Laboratory of Environment Change and Resources Use in Beibu Gulf,Guangxi Teachers Education University;Guangxi Key Laboratory of Earth Surface Processes and Intelligent Simulation,Guangxi Teachers Education University;School of Geography and Planning,Guangxi Teachers Education University; 出版日期：2018-08-15 出版单位：Asian Agricultural Research 年：2018 期：v.10 基金：Supported by State Key Research and Development Program(2016YFC0502401);; Project of National Natural Science Foundation(41661021);; Innovation Team Project for Natural Science Foundation of Guangxi(2016JJF15001);; District-level Project of Student Entrepreneurship and Enterprise Competition of Guangxi Teachers Education University(201810603277) 语种：英文; 页：AAGR201808014 页数：4 CN：08 分类号：54-56+61

摘要

In order to study the rules of variations in the net primary productivity( NPP) of vegetation in Guangxi,this paper used MOD17 A3 H data to compare the spatial and temporal pattern of net primary productivity of vegetation in different cities by unary linear regression method and standard deviation analysis method. It obtained following results.( i) The annual average NPP of cities in Guangxi is in the range of 498. 77-803. 97 g C/m~2·a,and the Beihai has the lowest NPP and Wuzhou has the highest NPP.( ii) The region with small vegetation NPP fluctuation in Guangxi is 6 044. 22 km~2,the region with the larger fluctuation is 37 735. 38 km~2,the region with large fluctuation is43 690. 84 km~2,the region with general fluctuation is 73 938. 14 km~2,and the region with small fluctuation is 74 622. 43 km~2,most regions have small fluctuation in vegetation NPP.( iii) Regions with basically stable NPP are largest,followed by regions with slight decline.( iv)There are great differences in the spatial distribution of NPP variations in Guangxi. Regions with slight decline of NPP are mainly distributed in the northeastern Guangxi; regions with slight increase of NPP are mainly distributed in the southern Guangxi,and regions with basically stable NPP are mainly distributed in southeastern Guangxi.
        In order to study the rules of variations in the net primary productivity( NPP) of vegetation in Guangxi,this paper used MOD17 A3 H data to compare the spatial and temporal pattern of net primary productivity of vegetation in different cities by unary linear regression method and standard deviation analysis method. It obtained following results.( i) The annual average NPP of cities in Guangxi is in the range of 498. 77-803. 97 g C/m~2·a,and the Beihai has the lowest NPP and Wuzhou has the highest NPP.( ii) The region with small vegetation NPP fluctuation in Guangxi is 6 044. 22 km~2,the region with the larger fluctuation is 37 735. 38 km~2,the region with large fluctuation is43 690. 84 km~2,the region with general fluctuation is 73 938. 14 km~2,and the region with small fluctuation is 74 622. 43 km~2,most regions have small fluctuation in vegetation NPP.( iii) Regions with basically stable NPP are largest,followed by regions with slight decline.( iv)There are great differences in the spatial distribution of NPP variations in Guangxi. Regions with slight decline of NPP are mainly distributed in the northeastern Guangxi; regions with slight increase of NPP are mainly distributed in the southern Guangxi,and regions with basically stable NPP are mainly distributed in southeastern Guangxi.

引文

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