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Wetlands
Article . 2023 . Peer-reviewed
License: CC BY
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Article . 2023
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https://dx.doi.org/10.60692/32...
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Other literature type . 2023
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Practical Guide to Measuring Wetland Carbon Pools and Fluxes

دليل عملي لقياس أحواض الكربون في الأراضي الرطبة والتدفقات
Authors: Sheel Bansal; Irena F. Creed; Brian A. Tangen; Scott D. Bridgham; Ankur R. Desai; Ken W. Krauss; Scott C. Neubauer; +60 Authors

Practical Guide to Measuring Wetland Carbon Pools and Fluxes

Abstract

AbstractWetlands cover a small portion of the world, but have disproportionate influence on global carbon (C) sequestration, carbon dioxide and methane emissions, and aquatic C fluxes. However, the underlying biogeochemical processes that affect wetland C pools and fluxes are complex and dynamic, making measurements of wetland C challenging. Over decades of research, many observational, experimental, and analytical approaches have been developed to understand and quantify pools and fluxes of wetland C. Sampling approaches range in their representation of wetland C from short to long timeframes and local to landscape spatial scales. This review summarizes common and cutting-edge methodological approaches for quantifying wetland C pools and fluxes. We first define each of the major C pools and fluxes and provide rationale for their importance to wetland C dynamics. For each approach, we clarify what component of wetland C is measured and its spatial and temporal representativeness and constraints. We describe practical considerations for each approach, such as where and when an approach is typically used, who can conduct the measurements (expertise, training requirements), and how approaches are conducted, including considerations on equipment complexity and costs. Finally, we review key covariates and ancillary measurements that enhance the interpretation of findings and facilitate model development. The protocols that we describe to measure soil, water, vegetation, and gases are also relevant for related disciplines such as ecology. Improved quality and consistency of data collection and reporting across studies will help reduce global uncertainties and develop management strategies to use wetlands as nature-based climate solutions.

Keywords

Accretion, 550, Naturgeografi, Carbon Dynamics in Peatland Ecosystems, Eddy covariance, Social psychology, Porewater, Importance of Mangrove Ecosystems in Coastal Protection, Engineering, Models, Methods, Pathology, Psychology, Biomass, Dissolved gas, Environmental resource management, Groundwater, Ecology, Hydrology (agriculture), Carbon cycle, Plants, Remote sensing, Accretion; Accumulation; Biomass; Bulk density; Carbon cycling; Chambers; Core; Decomposition; Dissolved gas; Dissolved organic carbon; Eddy covariance; Greenhouse gas; Groundwater; Hydrology; Incubation; Lateral transport; Litter; Methane; Methods; Microbes; Models; Net primary productivity; Plants; Porewater; Radiometric dating; Remote sensing; Sediment; Soil organic carbon; Water; Vegetation, Net primary productivity, FOS: Psychology, Microbes, Habitat, Physical Sciences, Wetland, Medicine, Incubation, Core, Mark Brinson Review, Temporal scales, Methane, Vegetation (pathology), 570, Biogeochemical Cycling of Nutrients in Aquatic Ecosystems, Landscape ecology, Biogeochemical cycle, Greenhouse gas, Environmental science, Accumulation, Lateral transport, Litter, Environmental Chemistry, Biology, Ecosystem, Carbon cycling, Representativeness heuristic, Decomposition, Chambers, Vegetation, Radiometric dating, Soil organic carbon, Water, Bulk density, Geotechnical engineering, Physical Geography, FOS: Biological sciences, Wetlands, Environmental Science, Sediment, Dissolved organic carbon, Hydrology

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    35
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
35
Top 10%
Average
Top 1%
Green
hybrid