Relevant bibliographies by topics / Habitat modelling

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Habitat modelling'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Habitat modelling"

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Bekkby, Trine, and Martin Isæus. "Mapping large, shallow inlets and bays: modelling a Natura 2000 habitat with digital terrain and wave-exposure models." ICES Journal of Marine Science 65, no. 2 (March 1, 2008): 238–41. http://dx.doi.org/10.1093/icesjms/fsn005.

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Abstract Bekkby, T., and Isæus, M. 2008. Mapping large, shallow inlets and bays: modelling a Natura 2000 habitat with digital terrain and wave-exposure models. – ICES Journal of Marine Science, 65: 238–241. EU member countries are obliged to protect a certain share of Natura 2000 habitats. Hence, these habitats must be mapped. This paper is an attempt to provide a tool for modelling one of the Natura 2000 habitat, the “large shallow inlets and bays” (Natura 2000 habitat 1160), using a Norwegian archipelagic area as a case study. The Natura 2000 definition of the habitat is interpreted into criteria used for modelling, and a spatial prediction is presented on a map. The effect of scale, regarding both spatial resolution of data and methodology, is also tested. This is the first publicly accessible attempt to model the Natura 2000 habitat. It shows that the result of the modelling depends on the spatial resolution of the data and the methods used in the modelling process. Using data at a 10-m and a 25-m resolution provides good results, and even the model based on the 50-m data provided an acceptable overall picture.
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Parasiewicz, P., and M. J. Dunbar. "Physical habitat modelling for fish - a developing approach." River Systems 12, no. 2-4 (February 12, 2001): 239–68. http://dx.doi.org/10.1127/lr/12/2001/239.

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Foley, Naomi S., Claire W. Armstrong, Viktoria Kahui, Eirik Mikkelsen, and Siv Reithe. "A Review of Bioeconomic Modelling of Habitat-Fisheries Interactions." International Journal of Ecology 2012 (2012): 1–11. http://dx.doi.org/10.1155/2012/861635.

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This paper reviews the bioeconomic literature on habitat-fisheries connections. Many such connections have been explored in the bioeconomic literature; however, missing from the literature is an analysis merging the potential influences of habitat on both fish stocks and fisheries into one general, overarching theoretical model. We attempt to clarify the nature of linkages between the function of habitats and the economic activities they support. More specifically, we identify theoretically the ways that habitat may enter the standard Gordon-Schaefer model, and nest these interactions in the general model. Habitat influences are defined as either biophysical or bioeconomic. Biophysical effects relate to the functional role of habitat in the growth of the fish stock and may be either essential or facultative to the species. Bioeconomic interactions relate to the effect of habitat on fisheries and can be shown through either the harvest function or the profit function. We review how habitat loss can affect stock, effort, and harvest under open access and maximum economic yield managed fisheries.
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Morris, Liz, and David Ball. "Habitat suitability modelling of economically important fish species with commercial fisheries data." ICES Journal of Marine Science 63, no. 9 (January 1, 2006): 1590–603. http://dx.doi.org/10.1016/j.icesjms.2006.06.008.

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Abstract In this study we used catch and effort data from a commercial fishery to generate habitat suitability models for Port Phillip Bay, Victoria, Australia. Species modelled were King George whiting (Sillaginodes punctata), greenback flounder (Rhombosolea tapirina), Australian salmon (Arripis trutta and A. truttaceus), and snapper (Pagrus auratus). Locations of commercial catches were reported through a grid system of fishing blocks. Spatial analyses in a Geographic Information System (GIS) were applied to describe each fishing block by its habitat area. A multivariate approach was adopted to group each fishing block by its dominant habitats. Standardized catch per unit effort values were overlaid on these groups to identify those that returned high or low catches for each species. A simple set of rules was then devised to predict the habitat suitability for each habitat combination in a fishing block. The spatial distribution of these habitats was presented in a GIS. These habitat suitability models were consistent with existing anecdotal information and expert opinion. While the models require testing, we have shown that in the absence of adequate fishery-independent data, commercial catch and effort data can be used to produce habitat suitability models at a bay-wide scale.
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DeLancey, Evan R., Brian Brisco, Logan J. T. McLeod, Richard Hedley, Erin M. Bayne, Kevin Murnaghan, Fiona Gregory, and Jahan Kariyeva. "Modelling, Characterizing, and Monitoring Boreal Forest Wetland Bird Habitat with RADARSAT-2 and Landsat-8 Data." Water 13, no. 17 (August 25, 2021): 2327. http://dx.doi.org/10.3390/w13172327.

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Earth observation technologies have strong potential to help map and monitor wildlife habitats. Yellow Rail, a rare wetland obligate bird species, is a species of concern in Canada and provides an interesting case study for monitoring wetland habitat with Earth observation data. Yellow Rail has highly specific habitat requirements characterized by shallowly flooded graminoid vegetation, the availability of which varies seasonally and year-to-year. Polarimetric Synthetic Aperture Radar (SAR) in combination with optical data should, in theory, be a great resource for mapping and monitoring these habitats. This study evaluates the use of RADARSAT-2 data and Landsat-8 data to characterize, map, and monitor Yellow Rail habitat in a wetland area within the mineable oil sands region. Specifically, we investigate: (1) The relative importance of polarimetric SAR and Landsat-8 data for predicting Yellow Rail habitat; (2) characterization of wetland habitat with polarimetric SAR data; (3) yearly trends in available habitat; and (4) predictions of potentially suitable habitat across northeastern Alberta. Results show that polarimetric SAR using the Freeman–Durden decomposition and polarization ratios were the most important predictors when modeling the Yellow Rail habitat. These parameters also effectively characterize this habitat based on high congruence with existing descriptions of suitable habitat. Applying the prediction model across all wetland areas showed accurate predictions of occurrence (validated on field occurrence data), and high probability habitats were constrained to very specific wetland areas. Using the RADARSAT-2 data to monitor yearly changes to Yellow Rail habitat was inconclusive, likely due to the different image acquisition times of the 2014 and 2016 images, which may have captured seasonal, rather than inter-annual, wetland dynamics. Polarimetric SAR has proved to be very useful for capturing the specific hydrology and vegetation structure of the Yellow Rail habitat, which could be a powerful technology for monitoring and conserving wetland species habitat.
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Sullivan, B. J., G. S. Baxter, and A. T. Lisle. "Low-density koala (Phascolarctos cinereus) populations in the mulgalands of south-west Queensland. III. Broad-scale patterns of habitat use." Wildlife Research 30, no. 6 (2003): 583. http://dx.doi.org/10.1071/wr02036.

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To date there have been few quantitative studies of the distribution of, and relative habitat utilisation by, koalas in the mulgalands of Queensland. To examine these parameters we applied habitat-accessibility and relative habitat-utilisation indices to estimates of faecal pellet density sampled at 149 sites across the region. Modelling the presence of pellets using logistic regression showed that the potential range of accessible habitats and relative habitat use varied greatly across the region, with rainfall being probably the most important determinant of distribution. Within that distribution, landform and rainfall were both important factors affecting habitat preference. Modelling revealed vastly different probabilities of finding a pellet under trees depending on the tree species, canopy size, and location within the region.
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Lauria, Valentina, Sandrine Vaz, Corinne S. Martin, Steve Mackinson, and André Carpentier. "What influences European plaice (Pleuronectes platessa) distribution in the eastern English Channel? Using habitat modelling and GIS to predict habitat utilization." ICES Journal of Marine Science 68, no. 7 (June 6, 2011): 1500–1510. http://dx.doi.org/10.1093/icesjms/fsr081.

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Abstract Lauria, V., Vaz, S., Martin, C. S., Mackinson, S., and Carpentier, A. 2011. What influences European plaice (Pleuronectes platessa) distribution in the eastern English Channel? Using habitat modelling and GIS to predict habitat utilization. – ICES Journal of Marine Science, 68: 1500–1510. Conservation of fish habitat requires knowledge of how spatial distributions of species are related to environmental factors. Habitat modelling and mapping are useful in predicting species–environment relationships. Species abundance is modelled as a function of environmental parameters to understand species habitat utilization better. The influence of environmental factors on plaice (Pleuronectes platessa) distribution was investigated for two life stages and over two seasons. Generalized linear modelling and quantile regression modelling were used to relate the relative abundance of (juvenile and adult) fish to environmental predictors (seawater temperature, salinity, water column depth, bed-shear stress, and sediment type) in autumn and summer. The resulting regression parameters were used to map preferential and potential habitat distributions within a geographic information system. Models were evaluated by comparing predicted against observed abundances. Seabed sediment type was the main significant predictor of plaice preferential and potential habitats, whereas other factors did not show such a clear influence. The results contribute to a better understanding of the spatial ecology of the species.
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Valjavec, Mateja Breg, Rok Ciglič, Krištof Oštir, and Daniela Ribeiro. "Modelling habitats in karst landscape by integrating remote sensing and topography data." Open Geosciences 10, no. 1 (June 11, 2018): 137–56. http://dx.doi.org/10.1515/geo-2018-0011.

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Abstract Field mapping is an accurate but also time consuming method of detailed mapping of habitat types. Levels of habitat types are usually hierarchically nested at several levels. Our main research question therefore is: ‘How detailed can be modelling of habitat types with decision trees and digital data in karst landscape?’ Similar to studies in other (non-karst) environments we explored the basic properties of the habitats in Dinaric Karst study region (Classical Karst in Southwest Slovenia) and tested modelling of habitat types at three different levels of detail. To seek for the best set of predictor variables we used Rapid-Eye satellite images, airborne images and digital elevation model. We prepared more than 60 explanatory variables and divided habitat polygons into training and testing samples to validate the results. The results proved that modelling with decision trees in Dinaric Karst landscape does not result in high accuracy at high detailed levels. Due to the presence of mine fields in the large area of Dinaric Karst (e.g. in Croatia and Bosnia and Herzegovina) the field mapping in this area is difficult therefore the findings from this study can be used for further development of mapping through remote sensing.
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Vilizzi, L. "Modelling preference curves for the study of fish habitat use." Fundamental and Applied Limnology 155, no. 4 (December 9, 2002): 615–26. http://dx.doi.org/10.1127/archiv-hydrobiol/155/2002/615.

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McLeod, S. R., and A. R. Pople. "Modelling the distribution and relative abundance of feral camels in the Northern Territory using count data." Rangeland Journal 32, no. 1 (2010): 21. http://dx.doi.org/10.1071/rj09057.

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The objectives of this study were to predict the potential distribution, relative abundance and probability of habitat use by feral camels in southern Northern Territory. Aerial survey data were used to model habitat association. The characteristics of ‘used’ (where camels were observed) v. ‘unused’ (pseudo-absence) sites were compared. Habitat association and abundance were modelled using generalised additive model (GAM) methods. The models predicted habitat suitability and the relative abundance of camels in southern Northern Territory. The habitat suitability maps derived in the present study indicate that camels have suitable habitat in most areas of southern Northern Territory. The index of abundance model identified areas of relatively high camel abundance. Identifying preferred habitats and areas of high abundance can help focus control efforts.
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Dissertations / Theses on the topic "Habitat modelling"

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MacDonald, Jane Shaw. "Modelling a Population in a Moving Habitat." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/36701.

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The earth’s climate is increasing in temperature and as a result many species’ habitat ranges are shifting. The shift in habitat ranges threatens the local persistence of many species. Mathematical models that capture this phenomena of range shift do so by considering a bounded domain that has a time dependant location on the real line. The analysis on persistence conditions has been considered in both continuous-time and -space, and discrete-time, continuous-space settings. In both model types density was considered to be continuous across the boundaries. However it has been shown that many species exhibit particular behaviour at habitat edges, such as biased movement towards the more suitable habitat. This behaviour should be incorporated into the analysis to obtain more accurate persistence conditions. In this thesis persistence conditions are obtained for generalized boundary conditions with a continuous-time and -space model for a range-shifting habitat. It is shown that a high preference for the suitable habitat at the trailing edge can greatly reduce the size of suitable habitat required for species persistence. As well, for fast shifting ranges, a high preference at the trailing edge is crucial for persistence.
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Van, Ael Susan M. "Modelling barred owl habitat in northwestern Ontario." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1996. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/MQ33461.pdf.

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Johansson, Maya. "Modelling habitat suitability index for golden eagle." Thesis, Stockholms universitet, Institutionen för naturgeografi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-197086.

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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. This resulted in a habitat suitability index (HSI), which in this case is assumed to indicate the probability of active nests of golden eagles. The study was conducted together with the County Administrative Board of Västernorrland with the purpose to improve golden eagle’s ecological status.To develop the model, different combinations of several explanatory variables were tested in a model selection process, where the most optimal and parsimonious model was chosen. The tested variables have earlier been shown to affect golden eagles, as slope, aspect, forest age, foraging habitat, suitable flight routes, human population density, roads, railways, power lines, wind power plants, hiking trails and clear cuts. The variables where applied in in ArcMAP at three different scales: nest scale (25 x 25 meter), proximate scale (a circle with the radius of 500 meter) and home range scale (a circle with the radius of 8253 meter). A preliminary test of the variables showed that all golden eagle nests were found in slopes with at least 5֯ degreesas well as in home ranges with human population density not more than 8 people/km2. Due to that a stratified analysis wasperformed. The variables where analysed by multiple logistic regression in R, where the occurrence of golden eagles’ nestswas compared towards random points in the landscape. All variables were also tested one by one by logistic regression. Afterperforming the multiple logistic regression, it was possible to apply its equation into ArcMap to obtain suitability maps withHSI values over Västernorrland’s county.The comparisons of different models show that it is better to combine different spatial scales in the model than only using one spatial scale. The result indicate that three different models might be the best, which all had different combinations of slope and aspect at nest scale and power lines at the proximate scale. Two of these models also include hiking trails and human population density, both at home range scale, in their equation. Since it was some unclarity about the causality between hiking trails and human population density, the conclusion was not to choose any of these as the final model. The final model was more parsimonious and had an additive effect from slope and southern aspect at the nest scale and an antagonistic effect from power lines at the proximate scale.This study clarifies that golden eagles’ habitat preferences for nesting sites during their breeding period is steep slopes (at minimum 5֯ degrees) in more southern aspects with few power lines in the proximate area surrounding the nest. Their homeranges are also situated in areas with less than 8 people/km2. The study also pinpoints a potential conflict between golden eagleand wind power planning, as golden eagles prefer steep slopes and remote areas, which also are valuable areas for wind powerplants. Golden eagles’ preference of remote areas also indicate that they might be affected by human persecution, why certainconservation effort should be focused into this issue. Out from the final model, you can find cluster in the landscape where youcan focus conservation management and restrict exploitation. Due to low number of wind power plants in the landscape, nothingcould be concluded about their effect on golden eagle in this study. An advice from the golden eagle’s perspective is to use theprecautionary principle and further plan wind power plants in areas which already have high disturbance, as for example closeto power lines or roads. The result also indicates that forest age from SLU Forest Map is not suitable for telling where to findgolden eagle nests. GIS-data over forest age would facilitate conservation management for plenty of species connected to theforest.Although good statistical results for the final model, cautions need to be taken in general, since neither population viability analysis have been included, nor changes over time in the landscape. Another issue is the low sample size, where a larger sample size would make it possible to perform profound calibration and validation of the data. To develop a more robust model, the advice is to include these into the model and use a larger sample size.
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Parsapour, Moghaddam Parna. "3D Hydro-Morphodynamic and Fish Habitat Modelling." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/38586.

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Meandering rivers provide fresh water and important aquatic ecosystem services, yet at the same time induce flood and erosion hazards. In the face of ongoing development pressure and changing climate, growing concern for meandering rivers has increased the demand to model accurately the flow and predict the sediment transport in a meandering river channel. Calibration and validation of these models based on comparable field-based data, as opposed to laboratory-scale experimental data, may decrease uncertainty and improve understanding of complex flow structures in natural meandering rivers. In this thesis, spatially intensive field data are utilized to develop appropriate calibration and validation methods for 3D meandering river models. Validated models are then applied to the study of morphodynamic processes and the influence of channel change on fish habitat availability in meandering rivers. This study presents a novel methodology for use of three-dimensional (3D) velocity for improved calibration of a 3D hydro-morphodynamic model. A natural tortuously meandering river was simulated using the Delft3D hydrodynamic model. A spatially intensive acoustic Doppler current profiler (ADCP) survey was conducted throughout the study river, providing fully 3D distributed velocities for model calibration. For accurate and realistic comparison of the fully 3D predicted and measured velocities, an algorithm was developed to match the location of each ADCP bin with 3D model grid points. The results suggest that different calibration approaches can result in different calibration parameterizations whose simulated results can differ significantly. It is shown that the model which was calibrated based on the proposed 3D calibration approach had the best model performance. Depending upon the nature and objectives of the numerical modelling exercise, the results demonstrate the importance of model calibration with spatially intensive field data. Given the importance of pressure gradients in driving secondary flow, it is worth studying how the modelled flow structures in a natural river bend can be impacted by the assumption of hydrodynamic pressure. Accordingly, the performance of hydrostatic versus non-hydrostatic pressure assumption in the Delft3D hydrodynamic modelling of a tortuously meandering river was studied. An Acoustic Doppler Velocimeter (ADV) was employed to measure the 3D flow field at a section in a sharp bend of the simulated river at two different flow stages. The field-based ADV data were employed to validate the simulated hydrodynamic models. The results indicate the surprisingly superior performance of the hydrostatic over non-hydrostatic Delft3D modelling of the secondary flow. It was determined that the non-hydrostatic routine employed in Delft3D was not mass conservative, which diminished model accuracy. Despite several decades of intensive study of the morphological changes in meandering rivers, less attention has been paid to confined meanders. This thesis includes a study of the meandering behavior of a semi-alluvial cohesive bed river over a 10-year period. We employed a paired sub-reach study approach, wherein one sub-reach is freely meandering and the second adjacent sub-reach is confined by a railway embankment. Channel migration and morphological changes of the channel banks along each of these sub-reaches were analyzed by comparing the historical aerial photography, light detection and ranging (LIDAR) data, bathymetric data obtained from a total station survey, and field examination. Moreover, two different spatially intensive ADCP surveys were conducted in the study area to find the linkage between the hydrodynamics and morphological changes in the two different sub-reaches. The unconfined sub-reach displayed a typical channel migration pattern with deposition on the inner bank and erosion on the outer bank of the meander bend. On the other hand, the confined sub-reach showed greater bank instabilities than the unconfined sub-reach. In the confined sub-reach, an irregular meandering pattern occurred by the evolution of a concave-bank bench, which was caused by reverse flow eddies. The results of this study could shed light on the potential impacts of channel confinement on bank retreat and river migration in comparable case studies. It is reasonable to expect that hydro-morphodynamic processes in rivers can affect fish habitat availability and quality, but the impact of river morphological changes on fish habitat is not well studied. Herein, we investigate the impact of morphological development of a cohesive meandering creek on the quality of fish habitat available for juvenile yellow perch (Perca flavescens) and white sucker (Catostomus commersonii). A 3D morphodynamic model was first developed to simulate the hydro-morphodynamics of the study creek over a 1-year period. Total station topographic surveys were conducted to provide bathymetric change data for calibration of the morphodynamic module. Successful calibration efforts indicated that the developed model could be reasonably employed to predict the hydro-morphodynamics of the study creek. Two fish sampling surveys were carried out at the beginning and the end of the study period to determine habitat utilization of each fish species in the study reach. ANOVA multiple comparison tests indicate that morphological development of the river was a significant factor for the habitat utilization of juvenile yellow perch, whereas juvenile white sucker habitat utilization was not significantly impacted by the changes in the creek morphology. It is shown that flow depth, depth-averaged velocity, and suspended sediment transport also significantly influenced presence of the juvenile yellow perch at the 5% significant level. As for the juvenile white sucker, the only significant factor was the depth-averaged velocity. The results of the developed 3D hydro-morphodynamic model were fed into a fish habitat model. Comparison of the predicted fish habitat map of the juvenile yellow perch with the results of fish sampling surveys confirms that the habitat quality was better predicted when the impact of morphological changes was taken into account in the fish habitat modelling. The results of the proposed methodology could provide some insights into the impact of sediment transport processes on the fish community. This has important implications for effective river management.
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Sánchez-Ordoñez, Andrés E. "A Markov random fields approach to modelling habitat." Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/54553.

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Habitat modelling presents a challenge due to the variety of data available and their corresponding accuracy. One option is to use Markov random fields as a way to incorporate these distinct types of data for habitat modelling. In this work, I provide a brief overview of the intuition, mathematical theory, and application considerations behind modelling habitat under this framework. In particular, an auto-logistic model is built and applied to modelling sea lion habitat using synthetic data. First, we explore modelling one sample of data. Afterwards, the framework is extended to the multi-sample scenario. Finally, the theory for the methodology is presented, the results of the applied implementation are presented.
Science, Faculty of
Statistics, Department of
Graduate
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Rose, Craig. "Modelling and measuring the habitat of artificial reefs." Thesis, University of Newcastle Upon Tyne, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.417518.

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Douglas, Sarah Jane. "Habitat suitablity modelling in the New Forest National Park." Thesis, Bournemouth University, 2009. http://eprints.bournemouth.ac.uk/15295/.

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The New Forest National Park is a unique semi-natural landscape which contains many species and habitats which are rare and/or threatened. In order to effectively aid in the conservation of these species, particularly in the face of climate change, there is a requirement to know their habitat requirements and distributions within the New Forest. However, due to limited resources there are gaps in knowledge about this for many of these species. Habitat suitability modelling was carried out to suggest unsurveyed sites of potentially suitable habitat (and consequently higher likelihood of species occurrence) for selected species of high conservation concern (Chamaemelum nobile, Galium constrictum, Gladiolus illyricus, Hipparchia semele, Nemobius sylvestris, Pilularia globulifera, Plebejus argus and Poronia punctata). The performance of several modelling approaches was compared. Of the models based on the use of GIS spatial data, an approach requiring only species presence data (Ecological Niche Factor Analysis (ENFA)) was compared to approaches additionally requiring absence or pseudo-absence data (Generalised Linear Models (GLMs) and Generalised Additive Models (GAMs)). An additional approach that did not require GIS data, Bayesian Belief Network (BBN) modelling, was also used to incorporate finer-scale variables not available in GIS format. This relatively new approach to habitat suitability modelling was also used to predict the potential impact of climate change on the suitability of the habitats for the selected species. The evaluation results showed that the presence-absence GLM and GAM models out-performed the presence-only ENFA method, and that the use of pseudo-absences and automated stepwise variable selection proved effective for developing these models. Species with specialist habitat requirements tended to be modelled more accurately than more generalist species. The BBN models also achieved high evaluation values, and were particularly valuable in being able to provide a quantitative assessment of the potential impact of climate change on the selected species. Habitat suitability modelling at the scale of an individual predicted area of the size of the New Forest has so far been rare, as have predictions of climate change on specific species at this scale. However, the results of this research show that this can be a valuable approach to aid in management and conservation of species and their habitats in protected areas.
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Watkins, Angela. "Spatially-explicit modelling of habitat permeability for mammalian wildlife." Thesis, University of Southampton, 2015. https://eprints.soton.ac.uk/375423/.

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Least-cost and agent-based models present alternative approaches to modelling animal movements, at the population level and individual level respectively. This study introduces and tests a novel integration of adapted least-cost methods into agent-based simulations, in order to analyse connectivity and habitat preferences in two species of mammal. An initial proof-of-concept study built a set of empirically validated least-cost models of European hedgehogs (Erinaceus europaeus) into a simple agent based model. Agents most closely simulated natural behaviours of dispersing hedgehogs when their movements accounted for temporally-dependent habitat preferences in addition to least-cost pathways informed by the connectivity map. The fitness of these agents increased in more highly fragmented landscapes, in contrast to agents that took least-cost pathways without time-specific preferences. The integration of functional connectivity with individual behaviour combined the advantages of both modelling techniques. Quantitative analysis of the individual-level consequences of moving within different landscape scenarios provides a unique way of applying model outcomes to direct conservation action. A second conceptual study applied integrative methods to the construction of an agent-based simulation scaled for jaguars (Panthera onca) occupying fragmented landscape in Belize. This simulation tested alternative configurations of a wildlife corridor currently under development in Central Belize as part of the intercontinental Mesoamerican Biological Corridor. Six alternative corridor configurations and three control conditions differed substantially in their effectiveness at mixing agents across the environment, despite relatively little difference in individual welfare. Best estimates of jaguar movement behaviours suggested that a set of five narrow corridors may out perform one wide corridor of the same overall area. The first two studies set the framework for developing a detailed simulation of jaguar behaviour and population dynamics in a mixed forest and farmland landscape in the south of Belize. This more complex model drew on empirical data on resident jaguars in the region to simulate typical movement, feeding, reproduction and mortality events within a stable natural population. An overview of the construction and application of the model precedes detailed descriptions of its calibration, sensitivity analysis and validation with empirical data. Agents located inside protected forest reserves exhibited higher fitness, expressed in higher fecundity and lower energy- and habitat-related mortality, than agents located outside these reserves. Model validation showed similar patterns to field data in landscape utilisation and the spatial distribution of individuals. This approach to spatial modelling of population dynamics can provide novel insights into effective conservation strategies for large carnivores. Application of the model to the fragmented central corridor region of Belize sets the context for real-world conservation planning. Under current conditions, simulated jaguars formed a small but stable population with various levels of immigration. Implementation of wildlife corridors showed the largest tracts of physically connected reserves increased connectivity between spatially disconnected habitat patches but also increased vulnerability to environmental degradation.
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Aarts, Geert. "Modelling space-use and habitat preference from wildlife telemetry data." Thesis, St Andrews, 2007. http://hdl.handle.net/10023/327.

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Bellamy, Chloe Charlotte. "Predictive modelling of bat-habitat relationships on different spatial scales." Thesis, University of Leeds, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.550267.

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To develop effective conservation strategies we need to know the ecological drivers of species' distributions at different spatial scales. Geographic Information Systems (GIS) and habitat suitability modelling technology provide us with the tools to examine multiscale, species-habitat relationships. We collected data on the presence of foraging bats from thirty 1 km2 field sites in the south of the Lake District National Park and used the presence-only modelling software MaxEnt to predict foraging habitat suitability across the entire Park (rv3,300 km') for seven species/species groups. Museum records of species' roosts were also used to investigate roost-habitat relationships. Using a moving window analysis we were able to assess the impact of habitat composition and structure over a range of extents (100 m - 6 km). This revealed species- and scale-specific habitat effects. The presence of foraging bats was best predicted by small scale habitat variables, which may reflect the high mobility of these mammals. The strength of roost-habitat associations tended to be more consistent across the range of scales, suggesting that bats may be sensitive to considerable landscape modification's made at great distances from the roost. Each species presence was best predicted by a unique set of enviro-geographic variables. Of the sibling Pipistre//us species, P. pygmaeus had a more narrow niche breadth because of its dependence on high water cover at large spatial scales (1 - 1.5 km) for foraging. Negative impacts of large scale urban cover were detected for P. euntos. Myotis nattereri and M. brandtiijmystacinus, whereas Pipistre//us avoided roosting within large coniferous plantations. Predictions were mapped at a fine resolution across the Park and validated with independent data, revealing that the high density of deciduous and ancient woodland across the southern Low Fells provided good foraging and roosting habitat for all species. This bat "hotspot" should be of high conservation priority.
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Books on the topic "Habitat modelling"

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Lanno, R. Protective modelling of fisheries habitat loss and replacement. Downsview, Ont: Research and Development Branch, Ontario Ministry of Transportation, 1992.

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Chen, Glenn K. Use of basin survey data in habitat modelling and cumulative watershed effects analyses. [California]: USDA Forest Service, Pacific Southwest Region, 1992.

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Heng, Hannah Yik Siew. Wa ter quality and habitat modelling in the urban river Tame. Birmingham: University of Birmingham, 2003.

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Liu, Xuehua. Mapping and modelling the habitat of giant pandas in Foping Nature Reserve, China. Enschede: ITC, 2001.

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Bayliss, Julian Luke. Use of GIS, geostatistics, and multilevel modelling for biodiversity action planning: The use of habitat association models for multi-species habitat conservation in the Upper Thames Tributaries Environmentally Sensitive Area. [Oxford]: Oxford Brookes University, 2002.

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Rice, Patricia. Landscape ecology of the Souss-Massa National Park, Southern Morocco and applications for the modelling of Bald Ibis (Geronticus Eremita L.) habitat suitability. [Derby: University of Derby], 2002.

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Shakotko, Paul Edward. Modellong moose habitats in Algonquin Provincial Park. Ottawa: National Library of Canada, 1994.

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Tebaldi, Claudia, and Richard Smith. Indirect elicitation from ecological experts: From methods and software to habitat modelling and rock-wallabies. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.19.

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This article focuses on techniques for eliciting expert judgement about complex uncertainties, and more specifically the habitat of the Australian brush-tailed rock-wallaby. Modelling wildlife habitat requirements is important for mapping the distribution of the rock-wallaby, a threatened species, and therefore informing conservation and management. The Bayesian statistical modelling framework provides a useful ‘bridge’, from purely expert-defined models, to statistical models allowing survey data and expert knowledge to be ‘viewed as complementary, rather than alternative or competing, information sources’. The article describes the use of a rigorously designed and implemented expert elicitation for multiple experts, as well as a software tool for streamlining, automating and facilitating an indirect approach to elicitation. This approach makes it possible to infer the relationship between probability of occurrence and the environmental variables and demonstrates how expert knowledge can contribute to habitat modelling.
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Veech, Joseph A. Habitat Ecology and Analysis. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198829287.001.0001.

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Habitat is crucial to the survival and reproduction of individual organisms as well as persistence of populations. As such, species-habitat relationships have long been studied, particularly in the field of wildlife ecology and to a lesser extent in the more encompassing discipline of ecology. The habitat requirements of a species largely determine its spatial distribution and abundance in nature. One way to recognize and appreciate the over-riding importance of habitat is to consider that a young organism must find and settle into the appropriate type of habitat as one of the first challenges of life. This process can be cast in a probabilistic framework and used to better understand the mechanisms behind habitat preferences and selection. There are at least six distinctly different statistical approaches to conducting a habitat analysis – that is, identifying and quantifying the environmental variables that a species most strongly associates with. These are (1) comparison among group means (e.g., ANOVA), (2) multiple linear regression, (3) multiple logistic regression, (4) classification and regression trees, (5) multivariate techniques (Principal Components Analysis and Discriminant Function Analysis), and (6) occupancy modelling. Each of these is lucidly explained and demonstrated by application to a hypothetical dataset. The strengths and weaknesses of each method are discussed. Given the ongoing biodiversity crisis largely caused by habitat destruction, there is a crucial and general need to better characterize and understand the habitat requirements of many different species, particularly those that are threatened and endangered.
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Meisner, John Donald. Modelling the effect of climatic warming on stream habitat of brook trout "Salvelinus fontinalis". 1989.

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Book chapters on the topic "Habitat modelling"

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Maddock, Ian. "Environmental Flows: Habitat Modelling." In The Wetland Book, 1–6. Dordrecht: Springer Netherlands, 2016. http://dx.doi.org/10.1007/978-94-007-6172-8_345-1.

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Maddock, Ian. "Environmental Flows: Habitat Modelling." In The Wetland Book, 1–6. Dordrecht: Springer Netherlands, 2016. http://dx.doi.org/10.1007/978-94-007-6172-8_345-2.

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Karsai, I., Z. Barta, and G. Szilágyi. "Modelling of habitat rearrangement of Carabid beetles." In Carabid Beetles: Ecology and Evolution, 153–56. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-017-0968-2_23.

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Kopecki, Ianina, Matthias Schneider, and Martin Schletterer. "Modelling of Habitat Changes Related to Hydropeaking with CASiMiR." In Novel Developments for Sustainable Hydropower, 147–56. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99138-8_13.

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AbstractThe Upper Inn River is affected by hydropeaking. To mitigate hydropeaking impacts between the villages Ovella and Prutz the diversion hydropower plant GKI has been designed to buffer fast flow changes and divert water into a bypass tunnel. This Testcase enabled the comparison between the impacted and mitigated situation. We exemplify the application of the CASiMiR hydropeaking assessment module and quantify significant improvements of the fish-ecological situation.
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MacLeod, Colin D., Laura Mandleberg, Caroline Schweder, Sarah M. Bannon, and Graham J. Pierce. "A comparison of approaches for modelling the occurrence of marine animals." In Essential Fish Habitat Mapping in the Mediterranean, 21–32. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-9141-4_3.

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Siapatis, Apostolos, Marianna Giannoulaki, Vasilis D. Valavanis, Andreas Palialexis, Eudoxia Schismenou, Athanassios Machias, and Stylianos Somarakis. "Modelling potential habitat of the invasive ctenophore Mnemiopsis leidyi in Aegean Sea." In Essential Fish Habitat Mapping in the Mediterranean, 281–95. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-9141-4_21.

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Valavanis, Vasilis D., Graham J. Pierce, Alain F. Zuur, Andreas Palialexis, Anatoly Saveliev, Isidora Katara, and Jianjun Wang. "Modelling of essential fish habitat based on remote sensing, spatial analysis and GIS." In Essential Fish Habitat Mapping in the Mediterranean, 5–20. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-9141-4_2.

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Skov, Henrik, Stefan Heinänen, Dennis Arreborg-Hansen, Florian Ladage, Bastian Schlenz, Ramünas Zydelis, and Frank Thomsen. "Marine habitat modelling for harbour porpoises in the German Bight." In Ecological Research at the Offshore Windfarm alpha ventus, 151–69. Wiesbaden: Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-02462-8_14.

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Ostfeld, Richard S. "Effects of Habitat Patchiness on Population Dynamics: A Modelling Approach." In Wildlife 2001: Populations, 851–63. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2868-1_64.

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Crec’hriou, Romain, Patrick Bonhomme, Géraldine Criquet, Gwenaêl Cadiou, Philippe Lenfant, Guillaume Bernard, Erwan Roussel, Laurence Le Diréach, and Serge Planes. "Spatial patterns and GIS habitat modelling of fish in two French Mediterranean coastal areas." In Essential Fish Habitat Mapping in the Mediterranean, 135–53. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-9141-4_11.

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Conference papers on the topic "Habitat modelling"

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Pisaturo, Giuseppe Roberto, Andrea Menapace, Silvia Folegot, and Maurizio Righetti. "Fish habitat modelling considering sediment flushing operations." In Proceedings of the 39th IAHR World Congress From Snow to Sea. Spain: International Association for Hydro-Environment Engineering and Research (IAHR), 2022. http://dx.doi.org/10.3850/iahr-39wc252171192022785.

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Jocham, Stefan, and Markus Aufleger. "High-resolution bathymetric LIDAR data in 2D hydrodynamic and habitat modelling – Effects of mesh resolution on instream habitat modelling." In Proceedings of the 39th IAHR World Congress From Snow to Sea. Spain: International Association for Hydro-Environment Engineering and Research (IAHR), 2022. http://dx.doi.org/10.3850/iahr-39wc252171192022403.

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"The population dynamics of ecosystem engineers and habitat modification." In 24th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, 2021. http://dx.doi.org/10.36334/modsim.2021.f3.watt2.

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"Lattice models of habitat destruction in a prey-predator system." In 22nd International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2017. http://dx.doi.org/10.36334/modsim.2017.a4.nakagiri.

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Benger, Simon N. "Modelling wetland habitat availability under long term flow scenarios." In 2012 International Symposium on Geomatics for Integrated Water Resources Management (GIWRM). IEEE, 2012. http://dx.doi.org/10.1109/giwrm.2012.6349536.

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"A dynamic habitat mudflat model for the Coorong, South Australia." In 20th International Congress on Modelling and Simulation (MODSIM2013). Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2013. http://dx.doi.org/10.36334/modsim.2013.h2.benger.

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"Interaction between habitat quality and an Allee-like effect in metapopulations." In 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2011. http://dx.doi.org/10.36334/modsim.2011.e11.mcvinish.

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"Structural complexity in riverine and terrestrial habitat networks affects population abundance and diversity." In 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2011. http://dx.doi.org/10.36334/modsim.2011.e16.webb.

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"Application of a protectability index to assess habitat eutrophication in designated areas." In 20th International Congress on Modelling and Simulation (MODSIM2013). Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2013. http://dx.doi.org/10.36334/modsim.2013.h14.oxley.

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Fukuda, S., N. Onikura, B. De Baets, W. Waegeman, A. M. Mouton, J. Nakajima, and T. Mukai. "A genetic Takagi-Sugeno fuzzy system for fish habitat preference modelling." In 2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC 2010). IEEE, 2010. http://dx.doi.org/10.1109/nabic.2010.5716268.

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Reports on the topic "Habitat modelling"

1

Van Lancker, V., L. Kint, G. Montereale-Gavazzi, N. Terseleer, V. Chademenos, T. Missiaen, R. De Mol, et al. How subsurface voxel modelling and uncertainty analysis contribute to habitat-change prediction and monitoring. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2017. http://dx.doi.org/10.4095/305937.

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