Estimation of net primary productivity by beps model-a case study in fujian province - Details

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Abstract：

In　this　study,　we　applied　a　process-based　model,　boreal　ecosystem　productivity　simulator　(BEPS)　to　simulate　net　primary　productivity　(NPP)　over　Fujian　Province　in　2015,　and　the　responses　of　NPP　to　various　environmental　factors　(e.g.　temperature,　elevation,　slope,　aspect)　was　analyzed.　The　results　showed　that:　(1)　the　total　NPP　and　mean　NPP　of　Fujian　province　in　2015　are　43.13　×　106　tC　and　540.75gC　m-2yr-1,　and　the　rank　of　annual　mean　NPP　of　different　forest　types　was　as　follows:　Evergreen　Broadleaf　Forest(EBF)>Evergreen　Needleleaf　Forest　(ENF)>Needle-Broadleaf　Mixed　Forest(NBMF)>Deciduous　Needleleaf　Forest　(DNF)>Deciduous　Broadleaf　Forest(DBF),　with　the　values　of:　625.6gC　m-2yr-1,　525.3gC　m-2yr-1,　436.6gC　m-2yr-1,　412.4gC　m-2yr-1,　399.9gC　m-2yr-1,　respectively;　(2)　monthly　mean　NPP　show　＇M＇　distribution　temporally　due　to　the　high　temperature　in　summer;(3)a　significant　correlation　existed　between　NPP　and　terrain　factors.　©　2017　IEEE.

Keyword：

BEPS model; Fujian Province; MODIS data; NPP

Community：

[ 1 ] [Xue, M.]Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Yiheyuanhou, Beijing, 100091, China
[ 2 ] [Xue, M.]Key Laboratory of Spatial Data Mining and Information Sharing of Ministry Education, Fuzhou University, Gongye Road 525, Fuzhou, 350002, China
[ 3 ] [Chen, Y.]Key Laboratory of Spatial Data Mining and Information Sharing of Ministry Education, Fuzhou University, Gongye Road 525, Fuzhou, 350002, China
[ 4 ] [Jia, L.]Key Laboratory of Spatial Data Mining and Information Sharing of Ministry Education, Fuzhou University, Gongye Road 525, Fuzhou, 350002, China
[ 5 ] [Wang, X.]Key Laboratory of Spatial Data Mining and Information Sharing of Ministry Education, Fuzhou University, Gongye Road 525, Fuzhou, 350002, China
[ 6 ] [Yan, M.]Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Yiheyuanhou, Beijing, 100091, China
[ 7 ] [Tian, X.]Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Yiheyuanhou, Beijing, 100091, China

Reprint 's Address：

[Tian, X.]Institute of Forest Resource Information Techniques, Chinese Academy of ForestryChina

Email：

tianxin@caf.ac.cn

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Source ：

International Geoscience and Remote Sensing Symposium (IGARSS)

Year： 2017

Volume： 2017-July

Page： 6213-6216

Language： English

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SCOPUS Cited Count： 1

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