Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1111/gcb.15164 |
Structure and parameter uncertainty in centennial projections of forest community structure and carbon cycling | |
Alexey N. Shiklomanov; Ben Bond‐; Lamberty; Jeff W. Atkins; Christopher M. Gough | |
2020-08-26 | |
发表期刊 | Global Change Biology |
出版年 | 2020 |
英文摘要 | Secondary forest regrowth shapes community succession and biogeochemistry for decades, including in the Upper Great Lakes region. Vegetation models encapsulate our understanding of forest function, and whether models can reproduce multi‐decadal succession patterns is an indication of our ability to predict forest responses to future change. We test the ability of a vegetation model to simulate C cycling and community composition during 100 years of forest regrowth following stand‐replacing disturbance, asking (a) Which processes and parameters are most important to accurately model Upper Midwest forest succession? (b) What is the relative importance of model structure versus parameter values to these predictions? We ran ensembles of the Ecosystem Demography model v2.2 with different representations of processes important to competition for light. We compared the magnitude of structural and parameter uncertainty and assessed which sub‐model–parameter combinations best reproduced observed C fluxes and community composition. On average, our simulations underestimated observed net primary productivity (NPP) and leaf area index (LAI) after 100 years and predicted complete dominance by a single plant functional type (PFT). Out of 4,000 simulations, only nine fell within the observed range of both NPP and LAI, but these predicted unrealistically complete dominance by either early hardwood or pine PFTs. A different set of seven simulations were ecologically plausible but under‐predicted observed NPP and LAI. Parameter uncertainty was large; NPP and LAI ranged from ~0% to >200% of their mean value, and any PFT could become dominant. The two parameters that contributed most to uncertainty in predicted NPP were plant–soil water conductance and growth respiration, both unobservable empirical coefficients. We conclude that (a) parameter uncertainty is more important than structural uncertainty, at least for ED‐2.2 in Upper Midwest forests and (b) simulating both productivity and plant community composition accurately without physically unrealistic parameters remains challenging for demographic vegetation models. |
领域 | 气候变化 ; 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/293025 |
专题 | 气候变化 资源环境科学 |
推荐引用方式 GB/T 7714 | Alexey N. Shiklomanov,Ben Bond‐,Lamberty,et al. Structure and parameter uncertainty in centennial projections of forest community structure and carbon cycling[J]. Global Change Biology,2020. |
APA | Alexey N. Shiklomanov,Ben Bond‐,Lamberty,Jeff W. Atkins,&Christopher M. Gough.(2020).Structure and parameter uncertainty in centennial projections of forest community structure and carbon cycling.Global Change Biology. |
MLA | Alexey N. Shiklomanov,et al."Structure and parameter uncertainty in centennial projections of forest community structure and carbon cycling".Global Change Biology (2020). |
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