SENSITIVITY ANALYSIS OF BIOME-BGC MODEL FOR DRY TROPICAL FORESTS OF VINDHYAN HIGHLANDS, INDIA

被引：0
|
作者：
Kumar, Manoj [1 ]
Raghubanshi, A. S. [2 ]
机构：
[1] Banaras Hindu Univ, Dept Bot, Ecosyst Anal Lab, Varanasi 221005, Uttar Pradesh, India
[2] Banaras Hindu Univ, Inst Environm & Sustainable Dev, Varanasi 221005, Uttar Pradesh, India
来源：
ISPRS BHOPAL 2011 WORKSHOP EARTH OBSERVATION FOR TERRESTRIAL ECOSYSTEM | 2011年 / 38-8卷 / W20期
关键词：
Biome-BGC model; Dry deciduous forest; Net primary productivity; Sensitivity index; Vindhyan highlands; NET PRIMARY PRODUCTION; PRODUCTIVITY; PHENOLOGY;
D O I：
暂无
中图分类号：
P9 [自然地理学];
学科分类号：
0705 ; 070501 ;
摘要：
A process-based model BIOME-BGC was run for sensitivity analysis to see the effect of ecophysiological parameters on net primary production (NPP) of dry tropical forest of India. The sensitivity test reveals that the forest NPP was highly sensitive to the following ecophysiological parameters: Canopy light extinction coefficient (k), Canopy average specific leaf area (SLA), New stem C : New leaf C (SC:LC), Maximum stomatal conductance (g(s,max)), C:N of fine roots (C:N(f)r), All-sided to projected leaf area ratio and Canopy water interception coefficient (W-int). Therefore, these parameters need more precision and attention during estimation and observation in the field studies.
引用
收藏
页码：129 / 133
页数：5
相关论文
共 50 条
  • [1] Application of BIOME-BGC model to managed forests 1. Sensitivity analysis
    Tatarinov, Fyodor A.
    Cienciala, Emil
    FOREST ECOLOGY AND MANAGEMENT, 2006, 237 (1-3) : 267 - 279
  • [2] Modeling the grazing effect on dry grassland carbon cycling with Biome-BGC model
    Han, Qifei
    Luo, Geping
    Li, Chaofan
    Xu, WenQiang
    ECOLOGICAL COMPLEXITY, 2014, 17 : 149 - 157
  • [3] Improved simulation of poorly drained forests using Biome-BGC
    Bond-Lamberty, Ben
    Gower, Stith T.
    Ahl, Douglas E.
    TREE PHYSIOLOGY, 2007, 27 (05) : 703 - 715
  • [4] Improving the Simulation Accuracy of the Net Ecosystem Productivity of Subtropical Forests in China: Sensitivity Analysis and Parameter Calibration Based on the BIOME-BGC Model
    Sun, Jiaqian
    Mao, Fangjie
    Du, Huaqiang
    Li, Xuejian
    Xu, Cenheng
    Zheng, Zhaodong
    Teng, Xianfeng
    Ye, Fengfeng
    Yang, Ningxin
    Huang, Zihao
    FORESTS, 2024, 15 (03):
  • [5] A hierarchical analysis of terrestrial ecosystem model Biome-BGC: Equilibrium analysis and model calibration
    Wang, Weile
    Ichii, Kazuhito
    Hashimoto, Hirofumi
    Michaelis, Andrew R.
    Thornton, Peter E.
    Law, Beverly E.
    Nemani, Ramakrishna R.
    ECOLOGICAL MODELLING, 2009, 220 (17) : 2009 - 2023
  • [6] Reimplementation of the Biome-BGC model to simulate successional change
    Bond-Lamberty, B
    Gower, ST
    Ahl, DE
    Thornton, PE
    TREE PHYSIOLOGY, 2005, 25 (04) : 413 - 424
  • [7] IMPROVMENT OF BIOME-BGC MODEL BY INCORPORATION AND DATA ASSIMILATION
    Yan, Min
    Tian, Xin
    Li, Zengyuan
    Chen, Erxue
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 1378 - 1381
  • [8] Estimation of productivity in pine and oak forests in northern Portugal using Biome-BGC
    Nunes, Leonia
    Gower, Stith T.
    Peckham, Scott D.
    Magalhaes, Marco
    Lopes, Domingos
    Rego, Francisco Castro
    FORESTRY, 2015, 88 (02): : 200 - 212
  • [9] Parameter Sensitivity of the Arctic Biome-BGC Model for Estimating Evapotranspiration in the Arctic Coastal Plain
    Engstrom, Ryan
    Hope, Allen
    ARCTIC ANTARCTIC AND ALPINE RESEARCH, 2011, 43 (03) : 380 - 388
  • [10] Simulating carbon and water cycles of larch forests in East Asia by the BIOME-BGC model with AsiaFlux data
    Ueyama, M.
    Ichii, K.
    Hirata, R.
    Takagi, K.
    Asanuma, J.
    Machimura, T.
    Nakai, Y.
    Ohta, T.
    Saigusa, N.
    Takahashi, Y.
    Hirano, T.
    BIOGEOSCIENCES, 2010, 7 (03) : 959 - 977
12345