Wetland Indices of Biological Integrity

Veselka, Walter; Anderson, James T.

doi:10.1007/978-94-007-6907-6_1

Cited by 9 publications

(2 citation statements)

References 45 publications

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“…Common approaches for evaluating the condition of wetlands include hydrogeomorphic functional assessment (Brinson and Rheinhardt 1996;Smith et al 2008;Davis et al 2013), rapid field assessment of human activity (Fennessy et al 2007;Stein et al 2009), and biologicallybased multimetric assessment (Rader et al 2001;Veselka and Anderson 2013). A potential problem with the functional approach is that function does not necessarily equate to wetland quality, and usually the models rely on structural indicators that may or may not relate to function (Cole 2006).…”

Section: Introductionmentioning

confidence: 98%

Potential Vegetation Criteria for Identifying Reference-Quality Wetlands in the South-Central United States

et al. 2014

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Reference criteria are needed for wetland monitoring and assessment programs. We used field-collected vegetation data from non-forested wetland sites in the south-central United States to establish preliminary criteria for identifying reference-quality wetlands in future surveys. Our analysis included three parts: (1) preliminary reference verification and metric ranking using boxplots and standardized effect size, (2) updating the putative reference sample and metric selection using Test Site Analysis, and (3) establishing reference criteria from best-metric confidence intervals and indicator species combinations. The Floristic Quality Assessment Index most clearly distinguished the reference wetlands; an index value of at least 20 is recommended for future reference designations in the study region. Other potential reference criteria include a maximum of 3-5 % bare ground in the 100 m buffer, a moderately sensitive species assemblage (mean conservatism>5.0), a small percentage (<10 %) of tolerant species (coefficient of conservatism≤2), and high native richness (>22 species). Five single species, four pairs, and one triplet combination were extracted as potential indicators of reference sites from 70,375 combinations of 75 candidate species, offering an efficient alternative to sampling entire vegetation communities. The analysis framework in this case study could be useful for similar projects in other regions.

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Section: Introductionmentioning

confidence: 98%

Potential Vegetation Criteria for Identifying Reference-Quality Wetlands in the South-Central United States

et al. 2014

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“…LDI and ILP approaches have been very useful in measuring the extension of uncontrolled human activities, but are not useful for measuring the degree of deterioration in the health of wetland ecosystems. The biological intensity index (IBI) is a qualitative measure used to explore the condition of habitat type with relation to its biological communities [8]. The hydrogeomorphic model (HGM) is helpful to develop a functional classification of the wetlands, which provides a basis for generalizing the hydrological characteristics of a specified wetland class [9].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Wetland Ecosystem Health Using the Pressure–State–Response (PSR) Model: A Case Study of Mursidabad District of West Bengal (India)

Das¹,

Pradhan

Shit³

et al. 2020

Sustainability

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Wetlands are essential for protein production, water sanctification, groundwater recharge, climate purification, nutrient cycling, decreasing floods and biodiversity preservation. The Mursidabad district in West Bengal (India) is situated in the floodplain of the Ganga–Padma and Bhagirathi rivers. The region is characterized by diverse types of wetlands; however, the wetlands are getting depredated day-by-day due to hydro-ecological changes, uncontrolled human activities and rapid urbanization. This study attempted to explore the health status of the wetland ecosystem in 2013 and 2020 at the block level in the Mursidabad district, using the pressure–state–response model. Based on wetland ecosystem health values, we categorized the health conditions and identified the blocks where the health conditions are poor. A total of seven Landsat ETM+ spaceborne satellite images in 2001, 2013 and 2020 were selected as the data sources. The statistical data included the population density and urbanization increase rate, for all administrative units, and were collected from the census data of India for 2001 and 2011. We picked nine ecosystem indicators for the incorporated assessment of wetland ecosystem health. The indicators were selected considering every block in the Mursidabad district and for the computation of the wetland ecosystem health index by using the analytical hierarchy processes method. This study determined that 26.92% of the blocks fell under the sick category in 2013, but increased to 30.77% in 2020, while the percentage of blocks in the very healthy category has decreased markedly from 11.54% to 3.85%. These blocks were affected by higher human pressure, such as population density, urbanization growth rate and road density, which resulted in the degradation of wetland health. The scientific protection and restoration techniques of these wetlands should be emphasized in these areas.

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Wetland Monitoring: Reporting

Crossman¹,

Stratford²

2016

The Wetland Book

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Wetland Indices of Biological Integrity

Cited by 9 publications

References 45 publications

Potential Vegetation Criteria for Identifying Reference-Quality Wetlands in the South-Central United States

Potential Vegetation Criteria for Identifying Reference-Quality Wetlands in the South-Central United States

Assessment of Wetland Ecosystem Health Using the Pressure–State–Response (PSR) Model: A Case Study of Mursidabad District of West Bengal (India)

Wetland Monitoring: Reporting

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