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来源类型Article
规范类型其他
DOI10.1002/2013JG002509
Modeling forest dynamics along climate gradients in Bolivia.
Seiler C; Hutjes RWA; Kruijt B; Quispe J; Anez S; Arora VK; Melton JR; Hickler T
发表日期2014
出处Journal of Geophysical Research: Biogeosciences 119 (5): 758-775
出版年2014
语种英语
摘要Dynamic vegetation models have been used to assess the resilience of tropical forests to climate change, but the global application of these modeling experiments often misrepresents carbon dynamics at a regional level, limiting the validity of future projections. Here a dynamic vegetation model (Lund Potsdam Jena General Ecosystem Simulator) was adapted to simulate present-day potential vegetation as a baseline for climate change impact assessments in the evergreen and deciduous forests of Bolivia. Results were compared to biomass measurements (819 plots) and remote sensing data. Using regional parameter values for allometric relations, specific leaf area, wood density, and disturbance interval, a realistic transition from the evergreen Amazon to the deciduous dry forest was simulated. This transition coincided with threshold values for precipitation (1400 mm/yr) and water deficit (i.e., potential evapotranspiration minus precipitation) (-830 mm/yr), beyond which leaf abscission became a competitive advantage. Significant correlations were found between modeled and observed values of seasonal leaf abscission (R2 = 0.6, p<0.001) and vegetation carbon (R2 = 0.31, p<0.01). Modeled Gross Primary Productivity (GPP) and remotely sensed normalized difference vegetation index showed that dry forests were more sensitive to rainfall anomalies than wet forests. GPP was positively correlated to the El Nino-Southern Oscillation index in the Amazon and negatively correlated to consecutive dry days. Decreasing rainfall trends were simulated to reduce GPP in the Amazon. The current model setup provides a baseline for assessing the potential impacts of climate change in the transition zone from wet to dry tropical forests in Bolivia.
主题Directorate (DIR) ; Water (WAT)
关键词Carbon Dynamics Tropics Bolivia
URLhttp://pure.iiasa.ac.at/id/eprint/10903/
来源智库International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/130028
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Seiler C,Hutjes RWA,Kruijt B,et al. Modeling forest dynamics along climate gradients in Bolivia.. 2014.
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