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Your search keyword '"habitat suitability mapping"' showing total 18 results

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18 results on '"habitat suitability mapping"'

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1. New Sightings and Habitat Suitability Mapping of Endemic Platyceps gracilis (GÜNTHER, 1862)

2. IPS Monitor – A habitat suitability monitoring tool for invasive alien plant species in Germany

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3. Current and future habitat suitability modelling of Bambusa teres outside forest areas in Nepal under climate change scenarios

4. Spatial Distribution, Diversity Mapping, and Gap Analysis of Wild Vigna Species Conserved in India's National Genebank.

5. Habitat suitability map of Ixodes ricinus tick in France using multi-criteria analysis

6. Habitat potential modelling and mapping of Teucrium polium using machine learning techniques.

7. Mapping habitats for the suitability of jellyfish blooms around the UK and Ireland.

8. Mapping habitat suitabilities of some wildlife species in Burdur Lake Basin

9. A representativeness-directed approach to mitigate spatial bias in VGI for the predictive mapping of geographic phenomena.

11. The distribution of deep-sea sponge aggregations in the North Atlantic and implications for their effective spatial management.

12. Bayesian networks for habitat suitability modeling: a potential tool for conservation planning with scarce resources.

13. Integrating GIS and expert judgment in a multi-criteria analysis to map and develop a habitat suitability index: A case study of large mammals on the Malayan Peninsula.

14. Diversity and distribution of benthic macrofauna in the Baltic Sea: Data inventory and its use for species distribution modelling and prediction

16. The Use of Geographic Information Systems, Remote Sensing, and Suitability Modeling to Identify Conifer Restoration Sites with High Biological Potential for Anadromous Fish at the Cedar River Municipal Watershed in Western Washington, U.S.A.

17. Integrating multi-source data for wildlife habitat mapping: A case study of the black-and-white snub-nosed monkey (Rhinopithecus bieti) in Yunnan, China.

18. Predicting Habitat Suitability and Conserving Juniperus spp. Habitat Using SVM and Maximum Entropy Machine Learning Techniques.