Larus relictus habitat hierarchical evaluation based on a data driven approach

Harrison Odion Ikhumhen1, Tianxin Li1,2, Shanlong Lu3, Nametso Matomela1,2

1 School of Energy and Environmental Engineering, University of Science and Technology Beijing, 30 Xueyuan road, Haidian District, Beijing, P.R China 100083
2 Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, Beijing PR China, 100083
3 Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, 9 Dengzhuang South Road, Haidian District, Beijing P.R China, 100094.

Abstract


The application of Species Distribution Models (SDM) in the management of species habitat and environmental impact changes has been widely used by scientists and ecologists globally, however this study proposes a novel analytical technique involving the combination of a statistical ranking algorithm and Remote sensing GIS data (habitat and threat) to analyze the suitability hierarchy of the habitat of a signature water-bird (Larus relictus). The results indicate that about 47.63% of the study region was suitable to accommodate L. Relictus during their breeding/resting season, while 27.08% proved to be highly unsuitable for this species. Based on the spatial distribution of the statistical data already incorporated into the GIS environment, it was observed that regions surrounding the Bojiang Lake (especially polygons 38 and 42) dominated by low vegetation and increased amount of moisture proved to be the best region for this species. On the contrary, polygon 23, located in the southern part of the study region proved to be the worst region for this species being dominated by significantly high amount of threat factors having the highest mean normalized hierarchical value and ranking 60th out of 61 in terms of standard deviation. To distinctively capture different suitability level of the study region, we could say that the application of this technique is quite effective and beneficial. This is because, compared to other decision making tools, this technique which solely relies on remote sensing and vector data gives decision makers an option of weight application if so desired.

Keywords


GIS; habitat suitability; RNK algorithm; remote sensing; vector; water-birds

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