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	Modeling spatiotemporal dynamics of global wetlands: comprehensive evaluation of a new sub-grid TOPMODEL parameterization and uncertainties
	Zhang, Zhen1,2,3,4; Zimmermann, Niklaus E.1,5; Kaplan, Jed O.6; Poulter, Benjamin2,3
刊名	BIOGEOSCIENCES
	2016
卷号	13期号:5页码:1387-1408
ISSN号	1726-4170
DOI	10.5194/bg-13-1387-2016
通讯作者	Zhang, Zhen(yuisheng@gmail.com)
英文摘要	Simulations of the spatiotemporal dynamics of wetlands are key to understanding the role of wetland biogeochemistry under past and future climate. Hydrologic inundation models, such as the TOPography-based hydrological model (TOPMODEL), are based on a fundamental parameter known as the compound topographic index (CTI) and offer a computationally cost-efficient approach to simulate wetland dynamics at global scales. However, there remains a large discrepancy in the implementations of TOPMODEL in land-surface models (LSMs) and thus their performance against observations. This study describes new improvements to TOPMODEL implementation and estimates of global wetland dynamics using the LPJ-wsl (Lund-Potsdam-Jena Wald Schnee und Landschaft version) Dynamic Global Vegetation Model (DGVM) and quantifies uncertainties by comparing three digital elevation model (DEM) products (HYDRO1k, GMTED, and HydroSHEDS) at different spatial resolution and accuracy on simulated inundation dynamics. In addition, we found that calibrating TOPMODEL with a benchmark wetland data set can help to successfully delineate the seasonal and interannual variation of wetlands, as well as improve the spatial distribution of wetlands to be consistent with inventories. The HydroSHEDS DEM, using a river-basin scheme for aggregating the CTI, shows the best accuracy for capturing the spatiotemporal dynamics of wetlands among the three DEM products. The estimate of global wet-land potential/maximum is similar to 10.3Mkm(2) (106 km(2)), with a mean annual maximum of similar to 5.17Mkm(2) for 1980-2010. When integrated with wetland methane emission submodule, the uncertainty of global annual CH4 emissions from topography inputs is estimated to be 29.0 Tg yr(-1). This study demonstrates the feasibility of TOPMODEL to capture spatial heterogeneity of inundation at a large scale and highlights the significance of correcting maximum wetland extent to improve modeling of interannual variations in wetland area. It additionally highlights the importance of an adequate investigation of topographic indices for simulating global wetlands and shows the opportunity to converge wetland estimates across LSMs by identifying the uncertainty associated with existing wetland products.
收录类别	SCI
WOS关键词	COMPARISON PROJECT WETCHIMP ; TOPOGRAPHIC WETNESS INDEX ; NORTHERN HIGH-LATITUDES ; LAND-SURFACE MODEL ; METHANE EMISSIONS ; ATMOSPHERIC METHANE ; AMAZON BASIN ; TERRESTRIAL ECOSYSTEMS ; VEGETATION MODEL ; SPATIAL-PATTERNS
WOS研究方向	Environmental Sciences & Ecology ; Geology
WOS类目	Ecology ; Geosciences, Multidisciplinary
语种	英语
出版者	COPERNICUS GESELLSCHAFT MBH
WOS记录号	WOS:000372082500002
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2557382
专题	寒区旱区环境与工程研究所
通讯作者	Zhang, Zhen
作者单位	1.Swiss Fed Res Inst WSL, Dynam Macroecol, Zurcherstr 111, CH-8903 Birmensdorf, Switzerland 2.Montana State Univ, Inst Ecosyst, Bozeman, MT 59717 USA 3.Montana State Univ, Dept Ecol, Bozeman, MT 59717 USA 4.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Peoples R China 5.ETH, Swiss Fed Inst Technol, Dept Environm Syst Sci, CH-8092 Zurich, Switzerland 6.Univ Lausanne, Inst Earth Surface Dynam, CH-1015 Lausanne, Switzerland
推荐引用方式 GB/T 7714	Zhang, Zhen,Zimmermann, Niklaus E.,Kaplan, Jed O.,et al. Modeling spatiotemporal dynamics of global wetlands: comprehensive evaluation of a new sub-grid TOPMODEL parameterization and uncertainties[J]. BIOGEOSCIENCES,2016,13(5):1387-1408.
APA	Zhang, Zhen,Zimmermann, Niklaus E.,Kaplan, Jed O.,&Poulter, Benjamin.(2016).Modeling spatiotemporal dynamics of global wetlands: comprehensive evaluation of a new sub-grid TOPMODEL parameterization and uncertainties.BIOGEOSCIENCES,13(5),1387-1408.
MLA	Zhang, Zhen,et al."Modeling spatiotemporal dynamics of global wetlands: comprehensive evaluation of a new sub-grid TOPMODEL parameterization and uncertainties".BIOGEOSCIENCES 13.5(2016):1387-1408.

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