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Wetland Biomass and Productivity in Coastal Louisiana: Base Line Data (1976-2015) and Knowledge Gaps for the Development of Spatially Explicit Models for Ecosystem Restoration and Rehabilitation Initiatives
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Number of Authors: 122019 (English)In: Water, ISSN 2073-4441, Vol. 11, no 10, article id 2054Article in journal (Refereed) Published
Abstract [en]

Coastal Louisiana hosts 37% of the coastal wetland area in the conterminous US, including one of the deltaic coastal regions more susceptible to the synergy of human and natural impacts causing wetland loss. As a result of the construction of flood protection infrastructure, dredging of channels across wetlands for oil/gas exploration and maritime transport activities, coastal Louisiana has lost approximately 4900 km(2) of wetland area since the early 1930s. Despite the economic relevance of both wetland biomass and net primary productivity (NPP) as ecosystem services, there is a lack of vegetation simulation models to forecast the trends of those functional attributes at the landscape level as hydrological restoration projects are implemented. Here, we review the availability of peer-reviewed biomass and NPP wetland data (below and aboveground) published during the period 1976-2015 for use in the development, calibration and validation of high spatial resolution (<200 m x 200 m) vegetation process-based ecological models. We discuss and list the knowledge gaps for those species that represent vegetation community associations of ecological importance, including the long-term research issues associated to limited number of paired belowground biomass and productivity studies across hydrological basins currently undergoing different freshwater diversions management regimes and hydrological restoration priorities.

Place, publisher, year, edition, pages
2019. Vol. 11, no 10, article id 2054
Keywords [en]
wetland, productivity, biomass, coastal Louisiana, delta plain, Chenier Plain, Mississippi River, ecological models, wetland restoration
National Category
Earth and Related Environmental Sciences
Identifiers
URN: urn:nbn:se:su:diva-176749DOI: 10.3390/w11102054ISI: 000495598400098OAI: oai:DiVA.org:su-176749DiVA, id: diva2:1377156
Available from: 2019-12-11 Created: 2019-12-11 Last updated: 2019-12-12Bibliographically approved

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Jaramillo, Fernando
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Department of Physical GeographyStockholm University Baltic Sea Centre
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