globalchange  > 气候减缓与适应
DOI: 10.1007/s10531-019-01743-6
WOS记录号: WOS:000470665000010
论文题名:
Modeling net primary productivity of tropical deciduous forests in North India using bio-geochemical model
作者: Behera, Soumit Kumar1,2; Tripathi, Poonam2,4; Behera, Mukunda Dev2; Tuli, Rakesh1,3
通讯作者: Behera, Soumit Kumar
刊名: BIODIVERSITY AND CONSERVATION
ISSN: 0960-3115
EISSN: 1572-9710
出版年: 2019
卷: 28, 期:8-9, 页码:2105-2121
语种: 英语
英文关键词: Biome BGC ; Tropical deciduous forest ; Leaf area index ; Net primary productivity ; Plant functional types
WOS关键词: LIGHT-USE EFFICIENCY ; CLIMATE-CHANGE ; GENERAL-MODEL ; BGC MODEL ; CARBON ; ECOSYSTEM ; SENSITIVITY ; BIOMASS ; STORAGE ; INDEX
WOS学科分类: Biodiversity Conservation ; Ecology ; Environmental Sciences
WOS研究方向: Biodiversity & Conservation ; Environmental Sciences & Ecology
英文摘要:

The present work investigates the applicability of a widespread bio-geochemical model (Biome BGC) to simulate monthly net primary productivity (NPP) and leaf area index (LAI) of Indian tropical deciduous forests. We simulated the monthly NPP and LAI of three plant functional types (PFTs) [dry mixed (DM), sal mixed (SM) and teak plantation (TP)] having distinct tree species compositions, canopy structure, different carbon assimilation rates and microclimate within a broad tropical deciduous forest during 2011-2012. The parameterization of 11 major eco-physiological parameters of Biome BGC was performed from in-situ physiological measurements gathered from 9 long-term ecological research plots in above three PFTs and PFT specific indices were developed. Bimodal trends, with highest peak in September during autumn and second peak in January during winter were observed for simulated monthly NPP in all three PFTs. Simulated NPP (gC/m(2)/year) values were 408.8 and 414.6; 376.8 and 392.9; and 327.5 and 338.2 during 2011 and 2012 in DM, SM and TP PFTs respectively. Observed NPP (gC/m(2)/year) values ranged between 463.4 and 493.1; 498.0 and 529.5; and 542.1 and 677.9 in 2012 in DM, SM and TP PFTs respectively. Biome BGC simulated NPP were in positive agreement with observed NPP in all PFTs (R-2=0.92, 0.83 and 0.72 in DM, SM and TP respectively). In all PFTs Biome BGC led toan underestimation of LAI. The current investigation evaluated the operational application of Biome BGC in Indian tropical deciduous forest and opens scope for further improvement for LAI algorithms for better in-situ LAI simulation.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/125544
Appears in Collections:气候减缓与适应

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作者单位: 1.Natl Bot Res Inst, CSIR, Plant Ecol & Climate Change Sci Div, Rana Pratap Marg, Lucknow, Uttar Pradesh, India
2.Indian Inst Technol, Ctr Oceans Rivers Atmosphere & Land Sci, Kharagpur, W Bengal, India
3.Panjab Univ, UIET, Sect 25, Chandigarh, India
4.Int Ctr Integrated Mt Dev ICIMOD Khumaltar, Lalitpur Kathmandu, Nepal

Recommended Citation:
Behera, Soumit Kumar,Tripathi, Poonam,Behera, Mukunda Dev,et al. Modeling net primary productivity of tropical deciduous forests in North India using bio-geochemical model[J]. BIODIVERSITY AND CONSERVATION,2019-01-01,28(8-9):2105-2121
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