Literature DB >> 25963760

Framework tool for a rapid cumulative effects assessment: case of a prominent wetland in Myanmar.

N Pradhan1, H Habib, M Venkatappa, T Ebbers, R Duboz, O Shipin.   

Abstract

The wetland of focus, Inle Lake, located in central Myanmar, is well known for its unique biodiversity and culture, as well as for ingenious floating garden agriculture. During the last decades, the lake area has seen extensive degradation in terms of water quality, erosion, deforestation, and biodiversity concomitant with a major shift to unsustainable land use. The study was conducted, with an emphasis on water quality, to analyze environmental impacts (effects) changing the ecosystem and to comprehensively evaluate the environmental state of the ecosystem through an innovative Rapid Cumulative Effects Assessment framework tool. The assessment started with a framework-forming Participatory Rural Appraisal (PRA), which quantified and prioritized impacts over space and time. Critically important impacts were assessed for "intra-inter interactions" using the loop analysis simulation. Water samples were analyzed while geographic information system (GIS) and remote sensing were used to identify water pollution hotspots. It was concluded that out of a plethora of impacts, pollution from municipal sources, sedimentation, and effects exerted by floating gardens had the most detrimental impacts, which cumulatively affected the entire ecosystem. The framework tool was designed in a broad sense with a reference to highly needed assessments of poorly studied wetlands where degradation is evident, but scarcely quantified, and where long-term field studies are fraught with security issues and resource unavailability (post-conflict, poor and remote regions, e.g., Afghanistan, Laos, Sudan, etc.).

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Year:  2015        PMID: 25963760     DOI: 10.1007/s10661-015-4508-4

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  3 in total

1.  Validation of satellite data for quality assurance in lake monitoring applications.

Authors:  P A Brivio; C Giardino; E Zilioli
Journal:  Sci Total Environ       Date:  2001-03-14       Impact factor: 7.963

2.  Understanding and predicting effects of modified interactions through a qualitative analysis of community structure.

Authors:  Jeffrey M Dambacher; Rodrigo Ramos-Jiliberto
Journal:  Q Rev Biol       Date:  2007-09       Impact factor: 4.875

3.  Estimation of chlorophyll-a concentration in Turbid Lake using spectral smoothing and derivative analysis.

Authors:  Chunmei Cheng; Yuchun Wei; Xiaopeng Sun; Yu Zhou
Journal:  Int J Environ Res Public Health       Date:  2013-07-16       Impact factor: 3.390

  3 in total

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