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基于GEE平台的黄河流域森林植被净初级生产力时空变化特征 被引量:17

Spatio-temporal variation characteristics of forest net primary productivity in the Yellow River Basin based on Google Earth Engine cloud platform
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摘要 黄河流域是我国重要的生态屏障,研究黄河流域森林植被净初级生产力(Net Primary Productivity,NPP)的时空变化特征及驱动机制,对解释黄河流域森林碳汇/源变化具有重要意义。基于Google Earth Engine(GEE)云平台,利用MOD17A3H V6 NPP数据、MCD12Q1 V6土地覆盖类型数据、ECMWF/ERA5气象数据和USGS/SRTMGL1_003高程数据,采用岭回归分析、Hurst指数和冗余分析(Redundancy Analysis,RDA)对黄河流域2001—2019年森林NPP的时空变化特征及影响因子进行分析。结果表明:(1)2001—2019年,黄河流域森林平均总面积为3.66万km^(2),其中阔叶林、针叶林、混交林平均面积分别为:2.64万km^(2)、0.01万km^(2)和1.01万km^(2),森林NPP年总量呈线性增加趋势,其均值为8.99Tg C,年均增速为0.36Tg C/a,19a增长率为173.60%;不同森林类型的NPP年总量均值分别为:4.79Tg C(阔叶林)、6.04×10^(-5)Tg C(针叶林)和0.64Tg C(混交林),年均增速为:阔叶林(0.16Tg C/a)>混交林(0.04Tg C/a)>针叶林(6.98×10^(-6)Tg C/a)。(2)2001—2019年,黄河流域森林年均NPP呈线性增加趋势,其均值为241.58g C m^(-2) a^(-1),年均增速为7.18g C m^(-2) a^(-1),19a增长率为108.63%;不同森林类型的年均NPP均值分别为:178.48g C m^(-2) a^(-1)(阔叶林)、0.60g C m^(-2) a^(-1)(针叶林)和62.49g C m^(-2) a^(-1)(混交林),年均增速为:阔叶林(4.75g C m^(-2) a^(-1))>混交林(2.39g C m^(-2) a^(-1))>针叶林(0.04g C m^(-2) a^(-1))。(3)黄河流域森林NPP呈增加趋势的面积占94.50%,其中显著增加的面积占73.29%;呈减少趋势的面积占5.50%,其中显著减少的面积占1.57%。阔叶林NPP显著增加的面积最高(76.78%),其次为混交林(60.84%),针叶林最少(56.76%)。(4)黄河流域森林NPP的Hurst指数(H)介于0.38—1.00之间,平均值为0.87,其中H≥0.5的像元数约占99.34%,黄河流域森林NPP在未来一段时间内仍保持持续增加趋势。(5)归因分析表明环境因子对黄河流域森林NPP时空变化的总解释率为55.80%, The Yellow River Basin is an important ecological barrier in China.To study the spatio⁃temporal variation characteristics and driving mechanisms of the Net Primary Productivity(NPP)of forest is of great significance to explain the change of forest carbon sink and source in the Yellow River Basin.Based on Google Earth Engine(GEE)cloud platform,MOD17A3H V6 NPP data,MCD12Q1 V6 land cover data,ECMWF/ERA5 weather data,USGS/SRTMGL1_003 elevation data,and ridge regression analysis,Hurst index,redundancy analysis(RDA)were used to analyze the spatio⁃temporal variation characteristics and influencing factors of the forest NPP in the Yellow River Basin from 2001 to 2019.The results showed that(1)from 2001 to 2019,the average total area of forest in the Yellow River Basin was 36600 km^(2),of which the average area of broadleaf forest,coniferous forest and mixed forest was 26400 km^(2),100 km^(2) and 10100 km^(2).The annual total forest NPP showed a linear increasing trend,with an average value of 8.99 Tg C,an average annual growth rate of 0.36 Tg C/a,and a 19⁃year growth rate of 173.60%.The averagely annual total NPP of different forest types were:4.79 Tg C(broadleaf forest),6.04×10^(-5) Tg C(coniferous forest)and 0.64 Tg C(mixed forest),and the averagely annual growth rate were:broadleaf forest(0.16 Tg C/a)>mixed forest(0.04 Tg C/a)>coniferous forest(6.98×10^(-6) Tg C/a).(2)From 2001 to 2019,the annual average NPP of the forest in the Yellow River Basin increased linearly,with an average value of 241.58 g C m^(-2) a^(-1),an average annual growth rate of 7.18 g C m^(-2) a^(-1),and a 19-year growth rate of 108.63%.The mean annual average NPP of different forest types were 178.48 g C m^(-2) a^(-1)(broadleaf forest),0.60 g C m^(-2) a^(-1)(coniferous forest)and 62.49 g C m^(-2) a^(-1)(mixed forest),and the averagely annual growth rate were:broadleaf forest(4.75 g C m^(-2) a^(-1))>mixed forest(2.39 g C m^(-2) a^(-1))>coniferous forest(0.04 g C m^(-2) a^(-1)).(3)The area of forest NPP showed an increasing trend in the Yell
作者 郭睿妍 田佳 杨志玲 杨泽康 苏文瑞 刘文娟 GUO Ruiyan;TIAN Jia;YANG Zhiling;YANG Zekang;SU Wenrui;LIU Wenjuan(School of Agriculture,Ningxia University,Yinchuan 750021,China)
机构地区 宁夏大学农学院
出处 《生态学报》 CAS CSCD 北大核心 2022年第13期5437-5445,共9页 Acta Ecologica Sinica
基金 国家自然科学基金(31960330) 宁夏自然科学基金(2020AAC03112)。
关键词 森林NPP 时空变化 冗余分析(RDA) Google Earth Engine(GEE) 黄河流域 forest NPP spatial-temporal variation redundancy analysis Google Earth Engine Yellow River Basin
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