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Rozprawy doktorskie na temat „Habitat predictive model”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 1 lutego 2022

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1

Machemer, Ethan G. P. "A Predictive Habitat Model for Rainbow Parrotfish Scarus guacamaia." NSUWorks, 2010. http://nsuworks.nova.edu/occ_stuetd/212.

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The rainbow parrotfish Scarus guacamaia is a prominent herbivore in the coastal waters of southeastern Florida whose life history is strongly linked to a dependence on both mangrove and coral reef habitats. Rainbow parrotfish in turn serve in maintaining the health of coral reefs by keeping algal populations in check. This study used NOAA Fisheries data from the Mangrove Visual Census and the Reef Visual Census in Biscayne Bay and Upper Florida Bay. Observations of abiotic factors at individual sites were used to correlate and predict presence and absence of this species. This was done to visu

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Alizadeh, Shabani Afshin, and afshin alizadeh@rmit edu au. "Identifying bird species as biodiversity indicators for terrestrial ecosystem management." RMIT University. Mathematical and Geospatial Sciences, 2006. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20061116.161912.

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It is widely known that the world is losing biodiversity and primarily it is thought to be caused by anthropogenic activities. Many of these activities have been identified. However, we still lack a clear understanding of the causal relationships between human activities and the pressures they place on the environment and biodiversity. We need to know how ecosystems and individual species respond to changes in human activities and therefore how best to moderate our actions and reduce the rate of loss of biodiversity. One of the ways to detect these changes is to use indicators of e

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Embling, Clare B. "Predictive models of cetacean distributions off the west coast of Scotland." Thesis, University of St Andrews, 2008. http://hdl.handle.net/10023/640.

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The main purpose of this study was to produce and test the reliability of predictive models of cetacean distributions off the west coast of Scotland. Passive acoustic and visual surveys were carried out from platforms of opportunity between 2003 and 2005. Acoustic identifications were made primarily of harbour porpoises (Phocoena phocoena), delphinids, and sperm whales (Physeter macrocephalus). Generalised Additive Models (GAMs) were used to relate species’ distributions to a range of environmental variables over a range of temporal and spatial scales. Predictive models of delphinid distributi

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Morris, Charisa Maria. "Building a Predictive Model of Delmarva Fox Squirrel (Sciurus niger cinereus) Occurrence Using Infrared Photomonitors." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/35356.

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Habitat modeling can assist in managing potentially widespread but poorly known biological resources such as the federally endangered Delmarva fox squirrel (DFS; Sciurus niger cinereus). The ability to predict or identify suitable habitat is a necessary component of this species' recovery. Habitat identification is also an important consideration when evaluating impacts of land development on this species distribution, which is limited to the Delmarva Peninsula. The goal of this study was to build a predictive model of DFS occurrence that can be used towards the effective management of this

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5

Amey, Katherine Springer. "Hydrology And Predictive Model Of Headwater Streams And The Groundwater/Surface Water Interactions Supporting Brook Trout Habitat In Northeast Ohio." Kent State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=kent1301618586.

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González-Andrés, Cristina. "The role of marine offshore protected areas in protecting large pelagics. Practical case: Cocos Island National Park (Costa Rica)." Doctoral thesis, Universidad de Alicante, 2020. http://hdl.handle.net/10045/115291.

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Wickert, Claudia. "Breeding white storks in former East Prussia : comparing predicted relative occurrences across scales and time using a stochastic gradient boosting method (TreeNet), GIS and public data." Master's thesis, Universität Potsdam, 2007. http://opus.kobv.de/ubp/volltexte/2007/1353/.

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In dieser Arbeit wurden verschiedene GIS-basierte Habitatmodelle für den Weißstorch (Ciconia ciconia) im Gebiet der ehemaligen deutschen Provinz Ostpreußen (ca. Gebiet der russischen Exklave Kaliningrad und der polnischen Woiwodschaft Ermland-Masuren) erstellt. Zur Charakterisierung der Beziehung zwischen dem Weißstorch und der Beschaffenheit seiner Umwelt wurden verschiedene historische Datensätze über den Bestand des Weißstorches in den 1930er Jahren sowie ausgewählte Variablen zur Habitat-Beschreibung genutzt. Die Aufbereitung und Modellierung der verwendeten Datensätze erfolgte mit Hilfe e

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Cross, Cheryl L. "Predictive Habitat Models for Four Cetaceans in the Mid-Atlantic Bight." NSUWorks, 2010. http://nsuworks.nova.edu/occ_stuetd/221.

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This study focuses on the habitats of cetaceans in the Mid-Atlantic Bight, a region characterized by bathymetric diversity and the presence of distinct water masses (i.e. the shelf water, slope water, and Gulf Stream). The combination of these features contributes to the hydrographic complexity of the area, which furthermore influences biological productivity and potential prey available for cetaceans. The collection of cetacean sighting data together with physical oceanographic data can be used to examine cetacean habitat associations. Cetacean habitat modeling is a mechanism for predicting c

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9

Wright, Amanda. "Predicting the distribution of Eurasian badger (Meles meles) setts." Thesis, Manchester Metropolitan University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364059.

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10

Krause, Colin William. "Evaluation and Use of Stream Temperature Prediction Models for Instream Flow and Fish Habitat Management." Thesis, Virginia Tech, 2002. http://hdl.handle.net/10919/31229.

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The SNTEMP (U.S. Fish and Wildlife Service), QUAL2E (U.S. Environmental Protection Agency), and RQUAL (Tennessee Valley Authority) stream temperature prediction models were evaluated. All models had high predictive ability with the majority of predictions, >80% for Back Creek (Roanoke County, VA) and >90% for the Smith River tailwater (SRT) (Patrick County, VA), within 3Â°C of the measured water temperature. Sensitivity of model input parameters was found to differ between model, stream system, and season. The most sensitive of assessed parameters, dependent on model and stream, were latera

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11

Shrestha, Gajendra. "Predicting the Distribution of Air Pollution Sensitive Lichens Using Habitat Niche Modeling." BYU ScholarsArchive, 2010. https://scholarsarchive.byu.edu/etd/2595.

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Usnea hirta and Xanthoparmelia cumberlandia are commonly used as bio-monitors of air quality. In order to more accurately and efficiently determine the distribution of these two sensitive indicator species, we have developed a probabilistic distribution map as a function of 9 macroclimatic and topographic variables for the White River National Forest, Colorado using Non-Parametric Multiplicative Regression (NPMR) analysis. Furthermore, we also developed a logistic regression (LR) model for X. cumberlandia in order to evaluate the strengths and limitations of the NPMR model. The best model for

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12

Baxter, Katrina. "Linking seafloor mapping and ecological models to improve classification of marine habitats : opportunities and lessons learnt in the Recherche Archipelago, Western Australia." University of Western Australia. School of Plant Biology, 2008. http://theses.library.uwa.edu.au/adt-WU2008.0181.

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[Truncated abstract] Spatially explicit marine habitat data is required for effective resource planning and management across large areas, although mapped boundaries typically lack rigour in explaining what factors influence habitat distributions. Accurate, quantitative methods are needed. In this thesis I aimed to assess the utility of ecological models to determine what factors limit the spatial extent of marine habitats. I assessed what types of modeling methods were able to produce the most accurate predictions and what influenced model results. To achieve this, initially a broad scale mar

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13

Penfield, Lesley B. "AN EXPLORATION OF ACCURACY ISSUES REGARDING PREDICTIVE MODELS OF AVIAN OCCURRENCE IN THE CENTRAL GREAT BASIN." Miami University / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=miami1058557148.

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14

Ahr, Bonnie J. "Habitat selection and utilization of white croaker (Genyonemus lineatus) in the Los Angeles and Long Beach harbors and the development of predictive habitat use models." Thesis, California State University, Long Beach, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=1591586.

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<p>White croaker (<i>Genyonemus lineatus</i>) are a sentinel fish species for contamination due to their direct interaction with contaminated sediments through benthic foraging. White croaker within the Los Angeles and Long Beach Harbor exhibited hierarchical habitat selection: avoiding dredged areas while selecting for areas of high sediment total organic carbon (4.8–8.1%), high polychaete density (406–700 polychaetes/0.1 m<sup>2</sup>), and small sediment grain size (<23.5 µm). Model results suggest that these fish are moving into shallower waters at night to forage and

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15

Duff, Andrew A. "Predicting bat occurrence in northern California using landscape-scale variables." Virtual Press, 2004. http://liblink.bsu.edu/uhtbin/catkey/1286503.

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Predicting species occurrence based upon landscape-scale characteristics is a fundamental goal of ecology and conservation biology. Accurately predicting the potential occurrence of a species is fundamental to management activities that involve large areas where sampling is difficult due to logistical or financial constraints. During the summers of 2001-2003 mist nets were used to capture bats in Whiskeytown National Recreation Area (WNRA), Lassen Volcanic National Park (LVNP), and Lassen National Forest (LNF) in northern California. I used logistic regression and Akaike's Information Criterio

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16

Wallis, Robert Charles. "A GIS Model for Predicting Potential "High Risk" Areas of West Nile Virus by Identifying Ideal Mosquito Breeding Habitats." MSSTATE, 2005. http://sun.library.msstate.edu/ETD-db/theses/available/etd-04082005-112319/.

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West Nile virus has become a major risk to humans since its first appearance in New York City in 1999. Physicians and state health officials are interested in new and more efficient methods for monitoring disease spread and predicting future outbreaks. This study modeled habitat suitability for mosquitoes that carry West Nile virus. Habitat characteristics were used to derive risk maps for the entire state of Mississippi. Statistical significance tests yielded objective evidence for choosing among many habitat variables. Variables that were significantly correlated with diagnosed human cases f

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Gerber, Angela S. "An expanded three-factor model of disordered eating : predicting anorexic and bulimic symptoms /." free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p1421138.

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Leftwich, Kevin Ned. "Habitat models for predicting the occurrence of blotchside logperch (Percina burtoni) and tangerine darters (P. aurantiaca) in the North Fork Holston River and Little River, Virginia." Thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-06232009-063258/.

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19

Mainella, Alexa Marie. "Comparison of MaxEnt and boosted regression tree model performance in predicting the spatial distribution of threatened plant, Telephus spurge (Euphorbia telephioides)." Miami University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=miami1461880521.

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20

Moreira, André Marques Cardoso. "Distribuição e preferências de habitat do esgana-gata (Gasterosteus aculeatus L.) em Portugal: implicações para a sua gestão e conservação." Master's thesis, Universidade de Évora, 2021. http://hdl.handle.net/10174/29727.

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O esgana-gata (G. aculeatus L.) é um peixe de água doce, classificado como Em Perigo (EN) pelo Livro Vermelho dos Vertebrados de Portugal. Contudo, devido à falta de conhecimentos relativamente à sua distribuição e preferências de habitat, poucas foram as medidas propostas com o objetivo de proteger as suas populações. Este estudo permitiu modelar a potencial distribuição da espécie, através de um método de previsão por ensemble. Verificou-se que o esgana-gata tende a ocorrer em habitats aquáticos onde o substrato arenoso é dominante e os níveis de escoamento e de precipitação durante o mês ma

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21

Tempera, Fernando. "Benthic habitats of the extended Faial Island shelf and their relationship to geologic, oceanographic and infralittoral biologic features." Thesis, University of St Andrews, 2009. http://hdl.handle.net/10023/726.

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This thesis presents a new template for multidisciplinary habitat mapping that combines the analyses of seafloor geomorphology, oceanographic proxies and modelling of associated biologic features. High resolution swath bathymetry of the Faial and western Pico shelves is used to present the first state-of-the-art geomorphologic assessment of submerged island shelves in the Azores. Solid seafloor structures are described in previously unreported detail together with associated volcanic, tectonic and erosion processes. The large sedimentary expanses identified in the area are also investigated an

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22

Tran, Ngo Quoc Huy. "Planification de mouvement pour les systèmes dynamiques multi-agents dans un environnement variable." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAT099.

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Cette thèse propose des solutions de commande basées sur la planification optimale de trajectoires pour des systèmes dynamiques multi-agents fonctionnant dans un environnement variable (avec obstacles statiques ou mobiles et des perturbations variables dans le temps).Cette planification de trajectoires repose sur l'utilisation combinée de la théorie des ensembles (en particulier des ensembles convexes bornés), de la commande prédictive non-linéaire (NMPC), du calcul de champs de potentiel et des méthodes basées sur des graphes. Elle se base sur la construction de champs de potentiel répulsifs

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23

Kennedy, Bradley. "The new invasive Odontites serotina: impacts, responses and predictive model." 2012. http://hdl.handle.net/1993/5031.

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Invasive alien species (IAS) pose a serious threat to ecosystems and societies worldwide. Local ecological knowledge (LEK) is increasingly valued as a means of understanding environmental issues; however, its application in the context of IAS research has been limited. The overall objective of this study was to document the LEK of farmers and Weed Supervisors to gain insight into a recent IAS, Odontites serotina. I conducted semi-structured interviews with farmers and Weed Supervisors with O. serotina management experience. Results indicated that the socio-economic impacts for farmer

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24

Parra, Hugo Alexandre Esteves. "Habitat predictive modelling of demersal fish species in the Azores." Master's thesis, 2013. http://hdl.handle.net/10400.3/3092.

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Dissertação de Mestrado, Estudos Integrados dos Oceanos, 25 de Março de 2013, Universidade dos Açores.<br>Species distribution modelling of the marine environment has been extensively used to assess species–environment relationships to predict fish spatial distributions accurately. In this study we explored the application of two distinct modelling techniques, maximum entropy model (MaxEnt) and generalized linear models (GLMs) for predicting the potential distribution in the Azores economic exclusive zone (EEZ) of four economically important demersal fish species: blackbelly rosefish, Helicole

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25

Lockett, Daniel Edwin IV. "A Bayesian approach to habitat suitability prediction." Thesis, 2012. http://hdl.handle.net/1957/28788.

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For the west coast of North America, from northern California to southern Washington, a habitat suitability prediction framework was developed to support wave energy device siting. Concern that wave energy devices may impact the seafloor and benthos has renewed research interest in the distribution of marine benthic invertebrates and factors influencing their distribution. A Bayesian belief network approach was employed for learning species-habitat associations for Rhabdus rectius, a tusk-shaped marine infaunal Mollusk. Environmental variables describing surficial geology and water depth were

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26

Cook, Kiersten Leah. "Space use and predictive habitat models for American black bears (Ursus americanus) in central Georgia, USA." 2007. http://purl.galileo.usg.edu/uga%5Fetd/cook%5Fkiersten%5Fl%5F200712%5Fms.

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Thesis (M.S.)--University of Georgia, 2007.<br>Directed by Michael J. Conroy. Includes articles submitted to Journal of wildlife and The journal of wildlife management. Includes bibliographical references.

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27

Just, Peter. "Entwicklung eines statistischen Habitateignungsmodells zur räumlichen Vorhersage der Vorkommenswahrscheinlichkeit des Wachtelkönigs (Crex crex L.) im Nationalpark Unteres Odertal." Doctoral thesis, 2006. http://hdl.handle.net/11858/00-1735-0000-0006-B32D-E.

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