Habitat suitability analysis for hippopotamus (H. amphibious) using GIS and remote sensing in Lake Tana and its environs, Ethiopia

Abstract

This research was carried out from October 2013 to May 2014. Hippopotamus amphibious is a mammalian species distributed in different lakes and rivers where ecological requirements are fulfilled for its survival. Lake Tana and its environs are home to Hippopotamus amphibious. The species is identified as vulnerable worldwide due to habitat loss and poaching. However, despite its vulnerability, there is no research conducted regarding the species, and its environmental requirements in Ethiopia. Therefore, the main objective of this study was to carryout habitat suitability analysis and find out suitable habitat sites of hippopotamus within the Lake Tana and its environs using the integration of GIS and remote sensing techniques. The softwares such as, Arc GIS10.2, ERDAS IMAGINE2010, and Virtual satellite image downloader were used in this research. The data used were SPOT image of 2012 of the study area, bathymetric data of Lake Tana, DEM, Google Earth data and GCP. Running a suitability model requires estimation of weights by expertise for each individual criterion on GIS software. Thus, the habitats in Lake Tana and its environs ranging from most suitable to not suitable for hippopotamus were identified. It was shown that 50.88% of the areas under study was highly disturbed and became unsuitable to hippopotamus, 42.29% of the areas were moderately disturbed, and only 1.81% of the areas were revealed to be undisturbed. As the study result showed that in and around Lake Tana, a human factor was considered to be outweighing the physical factors to minimize the habitat for the aforementioned animal. The results revealed that only 22.54% of the study areas were identified as most suitable for the animal under study of which the large portions of the areas are located at the backside of settlements which are not easily accessible by the species, while 40.5% of the areas were found to be moderately suitable, and 36.96% were unsuitable habitats for hippopotamus. Based on the findings of the present study it was concluded that there was high interference of human being in the habitats of hippopotamus especially at the shores of the lake since the land were looked-for agricultural activities. Therefore, too much proximity of human activities in identified hippopotamus habitats have to be protected and conservation buffer surrounding the Lake has to be developed.

Habitat Suitability Model of Prehistoric Asian Hippo <em>Hippopotamus sivalensis</em> spp. From The Late Pleistocene of East Java

“…In fact, this model is different to the Anthropocene hippo's habitat model has been developed recently. Most model developed by Bogui et al (2016), Buruso (2018), and Eshuis (2011) incorporated anthropogenic disturbance factors in their analysis. However this factor was not realistic for analyzing the habitat suitability of H. sivalensis spp.…”

Potato Crop Suitability Site Selection for Food Security Using GIS with Mcda, in Amhara Region, Ethiopia

“…The following dependent and independent variables were included in the study. The dependent variable was potato arable land while the independent variables were elevation (Buruso, 2017), slop (Buruso, 2017), soil type (Girma, etal 2015), rainfall and temperature (Atsbaha etal, 2002). All the variables are modeled below (figure, 5) by using ArcGIS model builder and the model is also validated and executed, the accuracy of the model was represented by the shadow of each model variable and parameter.…”

Integrating geospatial tools and species for conservation planning in a data-poor region of the Far Eastern Himalayas

“…To determine the weight overlay factor procedure, an expert knowledge was used to generate the commensurable scores, where the appropriate score maps are weighted according to the habitat function prepared for the decision following Bashari and Hemami (2013); Store and Jokimäki (2003). Developing such kind of ranked by experts from the region is a most suitable relative influence on the suitability of habitat for the selected animal (Buruso, 2018). While designing, we assigned each factor a percentage weight so that the sum of the weights is 100%.…”