remote sensing Article The InVEST Habitat Quality Model Associated with Land Use/Cover Changes: A Qualitative Case Study of the Winike Watershed in the Omo-Gibe Basin, Southwest Ethiopia Abreham Berta Aneseyee 1,2 , Tomasz Noszczyk 3,* , Teshome Soromessa 1 and Eyasu Elias 1 1 Center of Environmental Science, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa, P.O. Box 1176, Ethiopia;
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[email protected] (E.E.) 2 Department of Natural Resource Management, Wolkite University, Ethiopia, Wolkite, P.O. Box 07, Ethiopia 3 Department of Land Management and Landscape Architecture, Faculty of Environmental Engineering and Land Surveying, University of Agriculture in Krakow, Krakow, Poland, 253c Balicka Street, 30-149 Krakow, Poland * Correspondence:
[email protected] Received: 17 February 2020; Accepted: 27 March 2020; Published: 30 March 2020 Abstract: The contribution of biodiversity to the global economy, human survival, and welfare has been increasing significantly, but the anthropogenic pressure as a threat to the pristine habitat has followed. This study aims to identify habitat suitability, analyze the change in habitat quality from 1988 to 2018, and to investigate the correlation between impact factors and habitat quality. The InVEST habitat quality model was used to analyze the spatiotemporal change in habitat quality in individual land-use types in the Winike watershed. Remote sensing data were used to analyze the land use/land cover changes. Nine threat sources, their maximum distance of impact, mode of decay, and sensitivity to threats were also estimated for each land-use cover type.