Essays about: "habitat modelling using GIS"
Showing result 1 - 5 of 9 essays containing the words habitat modelling using GIS.
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1. Multi-scale Bark Beetle Predictions Using Machine Learning
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Bark beetle attacks have led to widespread tree disturbance and deaths in many parts of the world, and thereby also economic and biodiversity losses. Forest-rich Sweden has experienced periodic attacks, latest in 2018. READ MORE
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2. Mapping Fire Salamander (Salamandra salamandra) Habitat Suitability in Baden-Württemberg with Multi-Temporal Sentinel-1 and Sentinel-2 Imagery
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Remote sensing image classification is used in land cover, forest type and tree species classifications but rarely considered for habitat suitability modelling of animal and plant species. It is instead common that land cover products derived from remote sensing data are used in these modelling problems, even though satellite imagery can provide more detailed information. READ MORE
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3. The hydrodynamic impacts of Estuarine Oyster reefs, and the application of drone technology to this study
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : The impacts of climate change are being seen within the estuarine environment through erosion and shoreline retreat, associated with sea-level rise and changes in storm activity. Restoration oyster reefs have been identified as a working-with-nature strategy to protect and restore these shoreline environments, stabilising sediment, and reducing erosion. READ MORE
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4. Modelling habitat suitability index for golden eagle
University essay from Stockholms universitet/Institutionen för naturgeografiAbstract : The aim in this study was to develop a model for the probability of finding active golden eagle nests during their breeding season. It was done by using environmental variables derived from expert models which were tested against empirical data. READ MORE
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5. Data driven fuzzy suitability modelling as a method for assessing habitat choice of migratory Red Kites (Milvus, milvus) across Spain
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : As an increasing number of species drift onto the IUCN’s list of endangered species, it has become increasingly important to understand the fundamental aspects that are essential in maintaining the fitness of these threatened species. Using tracking data from 75% of a sample of Swiss juvenile Red Kites during their wintering period in Spain, various bioclimatic predictors (BCMPs) were taken into account to create fuzzy membership functions based on the spatial distribution of the related biogeographic elements within the operating range of the sample set of kites. READ MORE