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1 Githiora-Murimi, Y. W.; Owuor, M. A.; Abila, R.; Olago, D.; Oriaso, S. 2022. Integrating stakeholder preferences into ecosystem services mapping in Yala Wetland, Kenya. Ecosystems and People, 18(1):146-163. [doi: https://doi.org/10.1080/26395916.2022.2039774]

Wetlands ; Ecosystem services ; Mapping ; Stakeholders ; Land use change ; Land cover mapping ; Landscape ; Biodiversity ; Swamps ; Cultural services ; Regulating services ; Local communities ; Livelihoods / Kenya / Yala wetland / Yala Swamp

(Location: IWMI HQ Call no: e-copy only Record No: H051052)

https://www.tandfonline.com/doi/pdf/10.1080/26395916.2022.2039774
https://vlibrary.iwmi.org/pdf/H051052.pdf

(7.11 MB) (7.11 MB)

Wetlands such as the Yala swamp in Kenya are among the most important and increasingly threatened ecosystems globally due to their ecological significance and complexity, and the importance of the ecosystem services (ES) they provide to wetland communities. Appropriate governance and management of wetlands thus require the use of interdisciplinary tools that take into account both ecological and social considerations. This study used the matrix model combining social preferences with GIS-based maps of land use/land cover (LULC) to analyse the capacity of the Yala swamp to supply ES (flows). We engaged a total of 132 participants who manage and use natural resources in the wetland through a participatory process to identify ES, map LULC, and score the flow of ES on a scale of 0 to 5 using the matrix model. We also analysed the impacts of stakeholder characteristics (gender, environmental expertise, and location) on the scoring of the matrix. Results showed high average scores (score of 4) for trees and shrubs, papyrus, and water bodies across a range of provisioning, regulating and cultural services. The study found that gender and location had little influence on the respondents’ scores, while environmental conservation experts provided scores significantly higher than local resource users (farmers/fishermen) across the ES types. Overall, the study contributes to understanding: 1) the importance of linking LULC with ES provision to inform landscape management and 2) the need to incorporate a range of stakeholder perspectives in studies making use of expert knowledge and preferences, for inclusive management.

2 Shrestha, M.; Nepal, Santosh. 2022. Quantifying water-related ecosystem services potential of the Kangchenjunga Landscape in the eastern Himalaya: a modeling approach. Hydrology Research, 53(6):892-907. [doi: https://doi.org/10.2166/nh.2022.012]

Water availability ; Ecosystem services ; Water yield ; Hydrological modelling ; Regulating services ; Precipitation ; Glaciers ; Snow cover ; Snowmelt ; Rivers ; Discharge ; Indicators / Nepal / Bhutan / Himalaya / Kangchenjunga Landscape

(Location: IWMI HQ Call no: e-copy only Record No: H051235)

https://iwaponline.com/hr/article-pdf/53/6/892/1065586/nh0530892.pdf
https://vlibrary.iwmi.org/pdf/H051235.pdf

(1.25 MB) (1.25 MB)

Quantifying water-related ecosystem services (WES) helps to secure limited and valuable water resources sustainably. Mainstreaming these ecosystem services into policy and decision-making requires accurate information at the local level. This paper aims to quantify provisioning and regulating freshwater ecosystem services potential in the Kangchenjunga Landscape using a hydro-ecological model. This study is the first to use the J2000 hydrological model to estimate annual and seasonal WES. The model output was validated against snow-cover and river discharge, after conducting a sensitivity analysis of the input parameter. High precipitation and low evapotranspiration resulted in rich water availability in the landscape. It was found that the precipitation amount in the landscape is highly seasonal, resulting in high variation in water availability. Snowfall, accounting for 4% of the total precipitation still plays an important role in regulating water resources. Nearly 100% of the discharge during the dry period originates from groundwater and melt runoff. This study highlights the importance of the presence of snow and glacier to sustain the ecosystem in the landscape. This model-derived information could further be used for decision-making and evaluating the impact of climatic and land use changes.