首页|2000-2012年淮南煤矿区植被净初级生产力的时空变化特征

2000-2012年淮南煤矿区植被净初级生产力的时空变化特征

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  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
采用基于遥感-生态过程耦合的GLOPEM-CEVSA模型模拟计算2000-2012年植被净初级生产力(NPP)数据,基于宏观角度从时空两方面分析其演变规律,分析年NPP总量与主要气候因子(年均气温、年降水量和年日照时数)之间的相关关系,为掌握淮南煤矿区的生态系统健康状况和进行矿区生态系统的调控提供决策依据.通过与MODIS NPP数据和基于粮食产量的农田NPP估算两种方法进行比较,表明了该文模拟数据具有一定的有效性.采用一元线性回归方法分析了年NPP总量随时间的变化规律;运用均值法和差值法分析了NPP的空间分布特征;应用Person相关系数和偏相关系数分析了年NPF总量与年均气温、年降水量和年日照时数间的相关关系.结果表明:13年来矿区植被年均NPP(以C计)为697.64 g·m-2,区域总体NPP的年均值为1.389 Tg.年NPP呈波动缓慢增长趋势,从2000年的1.103 Tg·a-1缓慢增加到2012年的1.452 Tg·a-1,年平均增长量为0.023 5 Tg.从空间分布看,NPP分布格局与土地利用方式密切相关,随着矿区的建设和城镇建设的发展,NPP显著降低;在农业耕作区内,NPP呈微弱增加趋势.与同期气候因子的相关性分析表明:年NPP与年均气温呈弱正相关关系,相关系数为0.125(P=0.683),与全年降水量呈中等强度相关,相关系数为0.522(P=0.067),与年日照时数呈不相关关系.
Spatial-temporal Variation of Vegetation Net Primary Productivity in Huainan Coal Mine Area from 2000 to 2012
By using the data of net primary productivity (NPP) of vegetation from 2000 to 2012,which was calculated by GLOPEM-CEVSA coupling model based on remote sensing and ecological process,the evolution pattern of NPP was analyzed from the temporal and spatial aspects based on the macroscopic perspective,and its relationships with the main climatic factors (annual average air temperature,annual precipitation and annual sunshine-time number) were also analyzed.The above results provided the theory support to the control of fine state of ecological system and adjustment of the ecological system in Huainan coal mining area.By comparing with the MODIS NPP data and estimating the farmland NPP based on the grain yield,the results indicated the effectiveness of the GLOPEM-CEVSA model.Then,a linear regression method was employed to analyze the variations of annual NPP with time,and the average and difference method were used to analyze the spatial distribution characteristics of NPP.Finally,the Pearson correlation coefficient and partial correlation coefficient were made use of analyzing the correlation between annual NPP and annual average temperature,annual precipitation and annual sunshine hours.The results showed that for 13 years,the average annual net primary productivity of vegetation (by C) in the mining area is 697.64 g·m-2·a-1,regional average annual NPP was 1.389Tg·a1;annual NPP increased from 1.103 Tg·a-1 in 2000 to 1.452 Tg·a-1 in 2012 with a fluctuation trend of slow growth,and the average annual growth rate is 0.023 5 Tg.From the spatial distribution view,NPP distribution pattern was closely related to land use.With the development of the construction of mining area and town,NPP in the above areas decreased significantly,but then NPP in the farming district is weakly increased.By the analyzing correlation with the climate factors,the results showed that there was a weak positive correlation between annual NPP and annual average temperature,whose correlation coefficient was 0.125 (P=0.683);there was medium intensity correlation between annual NPP and annual precipitation,whose the correlation coefficient was 0.522(P=0.067);there was no correlation between annual NPP and annual sunshine-time number.

Net primary productivity (NPP)Huainan mining areaGLOPEM-CEVSA modelspatial and temporal variation

陈广洲、李鑫海、焦利锋、汪家权、顾康康

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安徽建筑大学环境与能源工程学院,安徽合肥230601

合肥工业大学土木与水利工程学院,安徽合肥230009

合肥工业大学资源与环境工程学院,安徽合肥230009

安徽建筑大学建筑与规划学院,安徽合肥230022

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净初级生产力(NPP) 淮南煤矿区 GLOPEM-CEVSA模型 时空变化

国家自然科学基金面上项目安徽省自然学基金面上项目安徽省教育厅人文社科重点项目安徽省高校省级优秀青年人才基金重点项目

414714221508085MD67SK2015A295gxyqZD2016148

2017

10.16258/j.cnki.1674-5906.2017.02.003

生态环境学报
广东省生态环境与土壤研究所 广东省土壤学会

生态环境学报

CSTPCDCSCD北大核心
影响因子：1.608
ISSN：1674-5906
年,卷(期)：2017.26(2)
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