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

机译:印度vindhyan高地干燥热带森林生物群系-BGC模型的敏感性分析

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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 eco-physiological 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_(fr)), 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.
机译:采用基于过程的模型生物综合体BGC进行敏感性分析,以便在印度干燥热带森林的净初级生产(NPP)上的生态学参数效果。 敏感性测试表明,森林NPP对以下生态生态学参数非常敏感:冠层透光系数(K),冠层平均特定叶面积(SLA),新茎C:新叶C(SC:LC),最大 气孔电导(G_(s,max)),c:n细根(c:n_(fr)),全面到投影叶面积比和冠层水拦截系数(w_(int))。 因此,这些参数在现场研究中的估计和观察期间需要更精确和关注。

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