Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 10 of 10 for “"Presence-only data"”.
-
Fast methods for fitting log-Gaussian Cox process models in ecology.
… where point patterns arise in the form of presence-only data - records of species' locations - and used to construct Species Distribution Models (SDMs) as a function of environmental variables. Fitting LGCP models can be difficult and time consuming and, as a result, limits the ability of …
-
Habitat suitability modeling for Lontra canadensis in east Tennessee
… habitats. With environmental and landscape data, we can determine and assign priority areas for conservation efforts targeting the North American river otter (Lontra canadensis) in east Tennessee and beyond. The focus of the present study is the relationship between otters and land cover. …
-
Factors Shaping Macrofaunal Polychaete Communities in the Gulf of Mexico
… niche modeling analysis (ENM) based on ?presence-only? data of four cosmopolitan species belonging to the Cirratulidae and Spionidae in the GoM. The GoM, being a semi-enclosed ocean basin, offers complex topographic features and hydrographic processes. Comparisons of the overall …
-
Potential environmental factors associated with the newly emerging bat white-nose syndrome in the northeastern United States: an exploratory modeling approach and case-control study
… occurrence and distribution of bat WNS. Maxent data uses presence-only data and bases its algorithms on the principal of maximum entropy. Maxent results using 58 environmental predictor variables revealed Slope, Growing-Degree Days, Annual Temperature Range, and Land-Cover as the top four …
-
Predictive Analysis of Arizona Dust Storms (1996–2023): GIS, Artificial Intelligence (MaxEnt), and Spatiotemporal Data
… where different species might live. MaxEnt uses presence-only data which makes it especially useful in environments where reliable absence data is hard to find or unavailable. This study analyzes if the combination of MaxEnt within Geographic Information Systems (ArgGIS Pro) and spatiotemporal …
-
Biogeography and conservation of terrestrial afrotropical birds
… local regions for conservation attention. Presence-only data were gathered and digitized at one-degree square scale for 1686 terrestrial bird species that breed on or regularly visit sub-Saharan Africa as non-breeding migrants. Biogeographical analysis of the 1437 species that are globally …
-
Using Species Distribution Modeling to Assess Illegal Trade Risk: A Case Study of US Imports of Endangered Mahogany (Swietenia spp.)
… of consistent, comprehensive global distribution data makes validating these declarations difficult. I aimed to assist in this analysis by developing species distribution models for the American mahogany species (genus Swietenia). American mahoganies are high-value, high-demand tropical timber …
-
Benthic habitats in a tide-swept channel of the Pentland Firth and their potential responses to a tidal energy development
… was undertaken to collect fine-scale, in-situ data for local hydrodynamics, seabed<br/>structure and epibenthic assemblages. Data from a two-dimensional hydrodynamic model com-plemented in-situ flow data and provided an insight into possible changes to local tidal patterns after the deployment …
-
Habitat Niche Modeling in the Texas Horned Lizard (Phrynosoma cornutum): Applications to Planned Translocation
… to determine if the addition of mechanistic data layers (i.e., habitat-niche models) in a correlative model improved the overall accuracy of model predictions, and second, to apply the best model produced from my dataset to a planned translocation event on Tinker Air Force Base. Correlative …
-
Modeling species geographic distributions in aquatic ecosystems using a density-based clustering algorithm
… are generally developed and tested using data from terrestrial organisms, neglecting aquatic organisms in case studies. Both disease and aquatic systems are often data limited, and current modeling methods are often insufficient. There is, therefore, a need to develop data-driven models …