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Upper Kafue River watershed

Forests, freshwater, and fisheries providing food security and sustainable livelihoods









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    Brochure, flyer, fact-sheet
    Resilient rivers: Watershed-based management of forests, freshwater, and inland fisheries. 2023
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    The course coaches learners to understand, monitor, and manage watersheds as integrated systems. Lessons begin with watershed function and then focus on forests, freshwater, and fisheries. In each case emphasizing interlinkages, spatial structure, seasonality, benefits to humans, and simple monitoring indicators. Project work in the upper Kafue River watershed, one of the headwaters of the Zambezi River in Zambia, and in the Magdalena and Atrato Rivers, Colombia, offer local perspectives and convincing case studies for understanding and managing on-the-ground conditions.
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    Article
    Projection modeling-based geospatial analysis of land use-land cover change at Hasdeo River Watershed, Chhattisgarh, India
    XV World Forestry Congress, 2-6 May 2022
    2022
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    The land-use change in the Hasdeo River watershed has been observed with all its subwatersheds. The changing patterns may portend localized impairment to forest and agricultural watershed. In this study, Land-use land-cover (LULC) change was modeled using terrset modeling software. The Hasdeo river watershed (geographical extent of 10,396.373 km2) is a part of the Mahanadi River basin in Chhattisgarh, India. Hasdeo River originates from Sonhat (Koriya district, Chhattisgarh, India) and is submerged into the river Mahanadi. It flows in the stretch of 330 km from north to south direction. This river has eight subwatersheds with rich forest diversity and perennial water resources. IRS-1D & P6 LISS3 images from the years 2000 and 2013 were used to investigate the LULC pattern. This has been used for the prediction of LULC change patterns for the years 2035 and 2050 based on the Markov model. The result of the project LULC map for the year 2000-2035 and 2000-2050 shows that the dense forest area will decrease by 12.30% and 15.68% respectively. The settlement area will significantly increase by 20.13% (2035) and 34.90% (2050) and will be the dominant land-use type in the watershed. It shows that population pressure will directly affect forest vegetation and agriculture activities. This study will be helpful for the effective sustainability approach for maintaining the proper LULC pattern of LULC pattern of land-use change in the watershed. This changing pattern will also influence the farming pattern in the catchment area of the Hasdeo River watershed. Keywords: Adaptive and integrated management, Deforestation and forest degradation, Landscape management, Monitoring and data collection, Sustainable forest management ID: 3487496
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    Book (series)
    The number of forest- and tree-proximate people
    A new methodology and global estimates
    2022
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    Mapping the spatial relationship between forests, trees and the people that live in and around them is key to understanding human-environment interactions. First, quantifying spatial relationships between humans and forests and trees outside forests can help decision-makers develop spatially explicit conservation and sustainable development indicators and policies to target priority areas. This study combined tree cover and human population density data to map the spatial relationship between forests, trees and people on a global scale providing estimates of the number of forest-proximate people and tree-proximate people for 2019. The methodology relies on spatial overlays that combine global-scale remotely sensed data on tree cover (as a proxy for forest cover) and gridded human population data to identify people that live in or close to forests and trees. Evidence on the number and spatial distribution of people living within or near forests and trees outside forests may, therefore, support decision-makers to 1) target projects in priority areas; 2) prioritize among alternative sites; 3) reduce the cost of achieving environmental or socio-economic objectives; 4) improve the effectiveness of monitoring, including by estimating the numbers of people who will be affected or have been affected as a result of an intervention, or affected by biophysical changes to forests (e.g. deforestation, fire or floods); and/or 5) more effectively and assuredly reaching target populations.

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