Large-scale coastal wetland restoration on the Laurentian Great Lakes: Determining the potential for water quality improvement

Mitsch, William J.; Wang, Naiming

doi:10.1016/s0925-8574(00)00081-1

Cited by 63 publications

(27 citation statements)

References 18 publications

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“…Percent cover data are routinely collected as part of wetland monitoring projects in Louisiana and elsewhere (Mitsch and Wang 2000) and are commonly used as a metric for assessing restoration success (Callaway et al 2001). Taft et al (1997) suggest that when it is feasible to do so, that abundance measures should be included in all vegetation assessments.…”

Section: Floristic Quality Indexmentioning

confidence: 99%

Development and use of a floristic quality index for coastal Louisiana marshes

Cretini

Visser

Krauss

et al. 2011

Environ Monit Assess

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The Floristic Quality Index (FQI) has been used as a tool for assessing the integrity of plant communities and for assessing restoration projects in many regions of the USA. Here, we develop a modified FQI (FQI(mod)) for coastal Louisiana wetlands and verify it using 12 years of monitoring data from a coastal restoration project. Plant species that occur in coastal Louisiana were assigned a coefficient of conservatism (CC) score by a local group with expertise in Louisiana coastal vegetation. Species percent cover and both native and non-native species were included in the FQI(mod) which was scaled from 0-100. The FQI(mod) scores from the long-term monitoring project demonstrated the utility of this index for assessing wetland condition over time, including its sensitivity to a hurricane. Ultimately, the FQI developed for coastal Louisiana will be used in conjunction with other wetland indices (e.g., hydrology and soils) to assess wetland condition coastwide and these indices will aid managers in coastal restoration and management decisions.

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Section: Floristic Quality Indexmentioning

confidence: 99%

Development and use of a floristic quality index for coastal Louisiana marshes

Cretini

Visser

Krauss

et al. 2011

Environ Monit Assess

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“…Despite the recognition that wetlands are important biogeochemical hotspots, there have been markedly few attempts to quantify metabolism or identify its drivers in shoreline wetlands, especially in the Laurentian Great Lakes. This is surprising given that metabolism is an important functional measurement in general (Cole et al 2000;Staehr et al 2010) and that wetlands are among the most productive ecosystems globally (Wetzel 2001).Emergent shoreline wetlands support numerous ecosystem services, such as trapping organic matter, nutrients, and sediment (Reed et al 1999;Mitsch and Wang 2000); controlling shoreline erosion (Mitsch and Wang 2000); and providing feeding and nursery habitat for fish and birds. Although shoreline wetlands often represent a burial sink for organic matter produced elsewhere, these habitats also can export organic matter to other lake habitats, especially when wetland GPP exceeds R (i.e., NEP is positive) and the wetlands have a surface connection to open-water habitats (Bouchard 2007).…”

mentioning

confidence: 99%

Influence of geomorphic setting on the metabolism of Lake Huron fringing wetlands

Cooper

Steinman

Uzarski

2013

Limnology & Oceanography

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We measured gross primary productivity (GPP) and respiration (R) seasonally in benthic, water column, and epiphytic microhabitats of Lake Huron fringing wetlands. Spring areal GPP ranged from 33 to 103 mmol O 2 m 22 d 21 , spring R ranged from 16 to 110 mmol O 2 m 22 d 21 , and the water column was the most important microhabitat for both GPP and R on average. Summer GPP ranged from 40 to 131 mmol O 2 m 22 d 21 , R ranged from 25 to 155 mmol O 2 m 22 d 21 , and the water column and benthic microhabitats were equally important for GPP and R. Fall GPP ranged from , 1 to 19 mmol O 2 m 22 d 21 , and R ranged from , 1 to 47 mmol O 2 m 22 d 21 , with the benthic and water column microhabitats being equally important. Net metabolism (the difference between GPP and R) was close to zero at most wetlands, but when macrophyte productivity was accounted for, most wetlands appeared autotrophic. Both GPP and R were highest in deep wetlands protected from hydrologic energy and declined with increasing wave exposure. With increasing exposure, wetlands were restricted to shallower water and benthic GPP and R increased relative to water column GPP and R. This pattern persisted to intermediate levels of exposure, beyond which benthic GPP and R declined as a result of physical disturbance to the sediment. Coastal wetlands are hotspots of productivity in Lake Huron and hydrologic energy is an important driver of total metabolism rates, as well as the distribution of GPP and R among microhabitats.Gross primary productivity (GPP) and respiration (R), collectively referred to as ecosystem metabolism, provide insight into the balance of organic matter production and remineralization in an ecosystem. This balance, or net ecosystem productivity (NEP 5 GPP 2 R), has been used to infer the trophic nature of many aquatic and marine systems, with positive NEP indicating autotrophy and negative NEP indicating heterotrophy (Odum 1956). In lakes, metabolism measurements made in the pelagic zone are often used to characterize the lake as a whole (Cole et al. 2000;Staehr et al. 2010). However, considerable heterogeneity among lake habitats has been observed (Lauster et al. 2006;Van de Bogert et al. 2007). For example, benthic habitats often have much different metabolic conditions than pelagic habitats (Vadeboncoeur et al. 2001(Vadeboncoeur et al. , 2002, and shallow littoral habitats, especially shoreline marshes, can have elevated GPP and R rates relative to deeper pelagic areas (Carter 1988). Despite the recognition that wetlands are important biogeochemical hotspots, there have been markedly few attempts to quantify metabolism or identify its drivers in shoreline wetlands, especially in the Laurentian Great Lakes. This is surprising given that metabolism is an important functional measurement in general (Cole et al. 2000;Staehr et al. 2010) and that wetlands are among the most productive ecosystems globally (Wetzel 2001).Emergent shoreline wetlands support numerous ecosystem services, such as trapping organic matter, nutrients, and sed...

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“…Passive restoration focuses on the enhancement of ecohydrological processes to rebuild the hydrogeomorphology for wetland self-restoration (Mitsch and Wang, 2000;Hunter et al, 2008;Jarzemsky et al, 2013). The degradation of marshes caused by reclamation or channelization can be mitigated by converting cropland to marshes and grass (Yu et al, 2008).…”

Section: Passive Restorationmentioning

confidence: 99%