globalchange  > 影响、适应和脆弱性
DOI: 10.1016/j.foreco.2015.06.027
Scopus记录号: 2-s2.0-84945485343
论文题名:
Carbon stocks of mangroves within the Zambezi River Delta, Mozambique
作者: Stringer C.E.; Trettin C.C.; Zarnoch S.J.; Tang W.
刊名: Forest Ecology and Management
ISSN:  0378-1127
出版年: 2015
卷: 354
起始页码: 139
结束页码: 148
语种: 英语
英文关键词: Blue carbon ; Carbon inventory ; East Africa ; Forested wetland
Scopus关键词: Aneroid altimeters ; Artificial intelligence ; Climate change ; Decision support systems ; Ecology ; Ecosystems ; Error analysis ; Forestry ; Lakes ; Radio altimeters ; Rivers ; Tracking radar ; Uncertainty analysis ; Wetlands ; Carbon inventories ; Climate change mitigation ; East Africa ; Forested wetlands ; Land elevation satellites ; Shuttle radar topography mission ; Spatial decision support systems ; Stratified random sampling ; C (programming language) ; belowground biomass ; carbon sequestration ; climate change ; data interpretation ; data quality ; ecosystem service ; ICESat ; mangrove ; Shuttle Radar Topography Mission ; spatial distribution ; wetland ; East Africa ; Zambezi River ; Rhizophoraceae
英文摘要: Mangroves are well-known for their numerous ecosystem services, including storing a globally significant C pool. There is increasing interest in the inclusion of mangroves in national climate change mitigation and adaptation plans in developing nations as they become involved with incentive programs for climate change mitigation. The quality and precision of data required by these programs necessitates the use of an inventory approach that allows for quantification, rather than general characterization, of C stocks. In this study, we quantified the ecosystem C stock of the Zambezi River Delta mangroves utilizing a rigorous, yet operationally feasible approach. We applied a stratified random sampling inventory design, based on five forest canopy height classes, derived from Ice, Cloud, and Land Elevation Satellite/Geoscience Laser Altimeter System (ICE Sat/GLAS) and the Shuttle Radar Topography Mission (SRTM) data, and a Spatial Decision Support System to allocate inventory plots. Carbon content in above- and below-ground biomass pools in addition to soils to a depth of 200cm was measured. The average biomass C density for the height classes ranged from 99.2MgCha-1 to 341.3MgCha-1. Soil C density was the largest measured C pool, containing 274.6MgCha-1 to 314.1MgCha-1 and accounting for 45-73% of the height class ecosystem C densities, which ranged from 373.8MgCha-1 to 620.8MgCha-1. The ecosystem C density estimates for the five strata were weighted based on their spatial distribution across the landscape to yield a total C stock for the Zambezi River Delta mangroves of 1.4×107MgC. The error bounds from the 95% confidence interval are ±6% of our ecosystem C stock estimate, well within acceptable levels of uncertainty. © 2015.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/65317
Appears in Collections:影响、适应和脆弱性

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作者单位: Center for Forested Wetlands Research, Southern Research Station, USDA Forest Service, Cordesville, SC, United States; Forest Inventory and Analysis, Southern Research Station, USDA Forest Service, Clemson, SC, United States; Department of Geography and Earth Sciences, University of North Carolina at Charlotte, Charlotte, NC, United States; Center for Applied Geographic Information Science, University of North Carolina at Charlotte, Charlotte, NC, United States

Recommended Citation:
Stringer C.E.,Trettin C.C.,Zarnoch S.J.,et al. Carbon stocks of mangroves within the Zambezi River Delta, Mozambique[J]. Forest Ecology and Management,2015-01-01,354
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