Response of wetland soil carbon to groundwater conservation: Probabilistic outcomes from error propagation |
| |
| Institution: | 1. Key Laboratory of Agricultural Ecology and Environment, Shandong Agricultural University, Taian 271018, China;2. College of Forestry, Agricultural University of Hebei, Baoding 071000, China;3. Shandong Forest Tree Seedling Station, Jinan 250014, China;4. Institute of Agro-biotechnology, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China;5. Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China;1. State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Jiangsu 210023, China;2. College of Environmental Science and Engineering, Tianjin Key Laboratory of Environmental Remediation and Pollution Control, Ministry of Education Key Laboratory of Pollution Processes and Environmental Criteria, Nankai University, Tianjin 300071, China;1. Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, Jilin 130102, China;2. University of Chinese Academy of Sciences, Beijing 100049, China;1. Department of Geography, The University of Georgia, 204 Geography-Geology Building, Athens, GA 30602, USA;2. Department of Anthropology, The University of Georgia, Baldwin Hall, Athens, GA 30602, USA;1. Universidade Federal Rural de Pernambuco, Departamento de Estatística e Informática, Rua Dom Manoel de Medeiros s/n, Dois Irmãos - 52171-900 - Recife/PE, Brazil;2. National Research Council, Institute of Methodologies for Environmental Analysis–C.da S.Loja, Tito 85050, Italy |
| |
| Abstract: | Water loss compromises functions performed by wetland ecosystems. Efforts to rehabilitate wetland function typically begin with attempts to reestablish hydrology. These activities are often not monitored, so tools to extract information from them could partly offset the lost opportunity to learn from whole-ecosystem hydrological manipulation. In 2002, groundwater abstraction was lessened by 35% throughout 1700 km2 of west-central Florida (USA). I assembled a pathway of correlations to project how this hydrological manipulation affected water levels and soil carbon (C) storage in overlying wetlands. Parameter values and residual error in these statistical models were resampled from known variances, thereby propagating uncertainty through the pathway of relationships, and expressing the response of soil C probabilistically. Projected soil C probability distributions were most distinguishable between full and moderate (30% less) abstraction. With more severe abstraction cutbacks, gains in projected soil C became more marginal and uncertain, suggesting that wetland soil C pools are not notably impacted by low-volume groundwater abstraction. Reducing uncertainty in projected soil C will require better understanding the dynamic response of soil C to increases in the amount of time that wetland soil is inundated. The step-by-step error propagation routine presented here is a platform for assimilating information from diverse sources in order to project probabilistic responses of ecosystem function to wetland restoration attempts, and it helps identify where further certainty is most wanted in a pathway of cause–effect relationships. |
| |
| Keywords: | Cypress swamp Decomposition Groundwater abstraction Monte Carlo Soil organic matter Uncertainty |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
