Wetlands are multi-functional landscapes between terrestrial and aquatic ecosystems that provide habitat for wildlife, support groundwater recharge, moderate climate, control flooding, and fulfil the livelihood of communities. Covering nearly 12% of the global area, these contribute significantly to ecosystem services, sustaining human well-being.
Despite their vital role in curbing greenhouse gas emissions and promoting ecological stability, wetlands face threats from rapid urban expansion and anthropogenic activities. The decline in wetland areas globally, particularly in developing nations like India, is a cause for concern. Urban and peri-urban wetlands, vital for sustainable development, are experiencing unprecedented loss due to unplanned land use changes. This loss poses challenges to urban living conditions, especially in fast-growing cities.
The concept of ecosystem health, introduced by Rapport et al. (1985), emphasises the stability and sustainability of ecosystems. Various models and methods, including remote sensing and GIS, have been employed to assess ecosystem health. This study assessed the ecosystem health of urban and peri-urban wetlands of Lucknow district in India and recommended a sustainable solution for their management.
Remote sensing data derived from the normalised difference vegetation index, modified normalised difference water index, and land use/land cover change were utilised for analysing the spatiotemporal change in areas under wetlands, from 1989 to 2018. Site-specific indicators on pressure, state, and response were integrated into the FRAGSTATS-based assessment to construct a Pressure-State-Response (PSR) model. A qualitative field survey has been conducted through focus group discussion and expert opinion to validate the results from the PSR model.
The study focuses on Lucknow district in central India, encompassing urban, peri-urban, and rural areas. Lucknow experiences a sub-tropical climate with distinct seasons. The district has witnessed a significant increase in urban areas and population due to migration and rapid growth. Natural wetland ecosystems, including lakes, ponds, rivers, and oxbow lakes, cover around 9670 ha, facing threats from anthropogenic pressures. The biodiversity of these wetlands is under threat, emphasising the need for effective conservation measures.
The study employed Landsat satellite imagery from 1998, 2008, and 2018 to construct land use and land cover (LULC) maps and extract wetlands during pre- and post-monsoon seasons. To model urban, peri-urban, and rural areas, a classification scheme based on population density, built-up density, and road density was employed. Wetland degradation rates during pre- and post-monsoon seasons from 1998 to 2018 were determined, and landscape metrics were derived for analysis.
The Pressure State Response (PSR) model was applied using site-specific indicators for ecosystem pressure, state, and response. Ecosystem Pressure Index (EPI), Ecosystem State Index (ESI), and Ecosystem Response Index (ERI) were calculated, leading to the computation of the Wetland Ecosystem Health Index (WEHI). A pragmatic approach normalised scores for each parameter of pressure, state, and response indices. Wetland health scores were categorised into six classes based on ecological characteristics.
To validate WEHI-based maps, field-based activities included community mapping, focus group discussions, expert interviews, and administrative recommendations. Community mapping engaged wetland communities in recognising historical changes, while focus group discussions provided insights into wetland degradation and community connections. A symposium of experts addressed livelihood regeneration, wetland conservation, and conflict resolution.
The integrated analysis of land use/land cover change, wetland dynamics, correlation matrices, and health assessments provides a comprehensive understanding of the Lucknow district ecosystem. Urban areas saw improvements, but peri-urban and rural areas faced challenges. Effective conservation strategies should consider these diverse trends and prioritise areas undergoing degradation for targeted interventions.
The full paper can be accessed here