Relevant bibliographies by topics / Suitability modelling

Academic literature on the topic 'Suitability modelling'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Suitability modelling"

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Hirzel, Alexandre H., and Gwenaëlle Le Lay. "Habitat suitability modelling and niche theory." Journal of Applied Ecology 45, no. 5 (October 2008): 1372–81. http://dx.doi.org/10.1111/j.1365-2664.2008.01524.x.

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Koreň, Milan, Slavomír Find'o, Michaela Skuban, and Matúš Kajba. "Habitat suitability modelling from non-point data." Ecological Informatics 6, no. 5 (September 2011): 296–302. http://dx.doi.org/10.1016/j.ecoinf.2011.05.002.

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Kindt, R. "Ensemble species distribution modelling with transformed suitability values." Environmental Modelling & Software 100 (February 2018): 136–45. http://dx.doi.org/10.1016/j.envsoft.2017.11.009.

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Littleboy, M., D. M. Smith, and M. J. Bryant. "Simulation modelling to determine suitability of agricultural land." Ecological Modelling 86, no. 2-3 (May 1996): 219–25. http://dx.doi.org/10.1016/0304-3800(95)00055-0.

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Ray, Nicolas, and Mark A. Burgman. "Subjective uncertainties in habitat suitability maps." Ecological Modelling 195, no. 3-4 (June 2006): 172–86. http://dx.doi.org/10.1016/j.ecolmodel.2005.11.039.

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Dąbrowski, Tadeusz, Jerzy Chmiel, and Adam Rosiński. "Modelling of power supplies reliability in aspect of their technical and functional state." Journal of KONBiN 42, no. 1 (June 1, 2017): 191–208. http://dx.doi.org/10.1515/jok-2017-0025.

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Abstract The article presents issues related to the modeling of reliability of power supply in terms of their technical and functional condition. There are designated relations allowing to determine the probability of staying the power supply in the state: full suitability, incomplete suitability and unsuitability. There is also examined the impact of time restore of the state of full suitability for the value of the probability of staying the power supply in the state of incomplete suitability.
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Neilsen, D., S. Smith, G. Bourgeois, B. Qian, A. Cannon, G. Neilsen, and I. Losso. "Modelling changing suitability for tree fruits in complex terrain." Acta Horticulturae, no. 1160 (May 2017): 207–14. http://dx.doi.org/10.17660/actahortic.2017.1160.30.

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SUEL, H. "BROWN BEAR (URSUS ARCTOS) HABITAT SUITABILITY MODELLING AND MAPPING." Applied Ecology and Environmental Research 17, no. 2 (2019): 4245–55. http://dx.doi.org/10.15666/aeer/1702_42454255.

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Dabral, S., B. Bhatt, J. P. Joshi, and N. Sharma. "Groundwater suitability recharge zones modelling – A GIS application." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 347–53. http://dx.doi.org/10.5194/isprsarchives-xl-8-347-2014.

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Groundwater quality in Gujarat state is highly variable and due to multiplicity of factors viz. influenced by direct sea water encroachment, inherent sediment salinity, water logging, overexploitation leading to overall deterioration in ground water quality, coupled with domestic and industrial pollution etc. The groundwater scenario in the state is not very encouraging due to imbalance between recharge and groundwater exploitation. Further, the demand for water has increased manifold owing to agricultural, industrial and domestic requirement and this has led to water scarcity in many parts of the state, which is likely to become more severe in coming future due to both natural and manmade factors. Therefore, sustainable development of groundwater resource requires precise quantitative assessment based on reasonably valid scientific principles. Hence, delineation of groundwater potential zones (GWPZ), has acquired great significance. <br><br> The present study focuses on the integrated Geospatial and Multi-Criteria Decision Making (MCDM) techniques to determine the most important contributing factors that affect the groundwater resources and also to delineate the potential zones for groundwater recharge. The multiple thematic layers of influencing parameters viz. geology, geomorphology, soil, slope, drainage density and land use, weightages were assigned to the each factor according to their relative importance as per subject experts opinion owing to the natural setup of the region. The Analytical Hierarchy Process (AHP) was applied to these factors and potential recharge zones were identified. The study area for the assessment of groundwater recharge potential zones is Mahi-Narmada inter-stream region of Gujarat state. The study shows that around 28 % region has the excellent suitability of the ground water recharge.
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Jiménez‐Valverde, Alberto, Pedro Aragón, and Jorge M. Lobo. "Deconstructing the abundance–suitability relationship in species distribution modelling." Global Ecology and Biogeography 30, no. 1 (November 10, 2020): 327–38. http://dx.doi.org/10.1111/geb.13204.

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Dissertations / Theses on the topic "Suitability modelling"

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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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O'Leary, Rebecca A. "Informed statistical modelling of habitat suitability for rare and threatened species." Thesis, Queensland University of Technology, 2008. https://eprints.qut.edu.au/17779/1/Rebecca_O%27Leary_Thesis.pdf.

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In this thesis a number of statistical methods have been developed and applied to habitat suitability modelling for rare and threatened species. Data available on these species are typically limited. Therefore, developing these models from these data can be problematic and may produce prediction biases. To address these problems there are three aims of this thesis. The _rst aim is to develop and implement frequentist and Bayesian statistical modelling approaches for these types of data. The second aim is develop and implement expert elicitation methods. The third aim is to apply these novel approaches to Australian rare and threatened species case studies with the intention of habitat suitability modelling. The _rst aim is ful_lled by investigating two innovative approaches for habitat suitability modelling and sensitivity analysis of the second approach to priors. The _rst approach is a new multilevel framework developed to model the species distribution at multiple scales and identify excess zeros (absences outside the species range). Applying a statistical modelling approach to the identi_cation of excess zeros has not previously been conducted. The second approach is an extension and application of Bayesian classi_cation trees to modelling the habitat suitability of a threatened species. This is the _rst `real' application of this approach in ecology. Lastly, sensitivity analysis of the priors in Bayesian classi_cation trees are examined for a real case study. Previously, sensitivity analysis of this approach to priors has not been examined. To address the second aim, expert elicitation methods are developed, extended and compared in this thesis. In particular, one elicitation approach is extended from previous research, there is a comparison of three elicitation methods, and one new elicitation approach is proposed. These approaches are illustrated for habitat suitability modelling of a rare species and the opinions of one or two experts are elicited. The _rst approach utilises a simple questionnaire, in which expert opinion is elicited on whether increasing values of a covariate either increases, decreases or does not substantively impact on a response. This approach is extended to express this information as a mixture of three normally distributed prior distributions, which are then combined with available presence/absence data in a logistic regression. This is one of the _rst elicitation approaches within the habitat suitability modelling literature that is appropriate for experts with limited statistical knowledge and can be used to elicit information from single or multiple experts. Three relatively new approaches to eliciting expert knowledge in a form suitable for Bayesian logistic regression are compared, one of which is the questionnaire approach. Included in this comparison of three elicitation methods are a summary of the advantages and disadvantages of these three methods, the results from elicitations and comparison of the prior and posterior distributions. An expert elicitation approach is developed for classi_cation trees, in which the size and structure of the tree is elicited. There have been numerous elicitation approaches proposed for logistic regression, however no approaches have been suggested for classi_cation trees. The last aim of this thesis is addressed in all chapters, since the statistical approaches proposed and extended in this thesis have been applied to real case studies. Two case studies have been examined in this thesis. The _rst is the rare native Australian thistle (Stemmacantha australis), in which the dataset contains a large number of absences distributed over the majority of Queensland, and a small number of presence sites that are only within South-East Queensland. This case study motivated the multilevel modelling framework. The second case study is the threatened Australian brush-tailed rock-wallaby (Petrogale penicillata). The application and sensitivity analysis of Bayesian classi_cation trees, and all expert elicitation approaches investigated in this thesis are applied to this case study. This work has several implications for conservation and management of rare and threatened species. Novel statistical approaches addressing the _rst aim provide extensions to currently existing methods, or propose a new approach, for identi _cation of current and potential habitat. We demonstrate that better model predictions can be achieved using each method, compared to standard techniques. Elicitation approaches addressing the second aim ensure expert knowledge in various forms can be harnessed for habitat modelling, a particular bene_t for rare and threatened species which typically have limited data. Throughout, innovations in statistical methodology are both motivated and illustrated via habitat modelling for two rare and threatened species: the native thistle Stemmacantha australis and the brush-tailed rock wallaby Petrogale penicillata.
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O'Leary, Rebecca A. "Informed statistical modelling of habitat suitability for rare and threatened species." Queensland University of Technology, 2008. http://eprints.qut.edu.au/17779/.

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In this thesis a number of statistical methods have been developed and applied to habitat suitability modelling for rare and threatened species. Data available on these species are typically limited. Therefore, developing these models from these data can be problematic and may produce prediction biases. To address these problems there are three aims of this thesis. The _rst aim is to develop and implement frequentist and Bayesian statistical modelling approaches for these types of data. The second aim is develop and implement expert elicitation methods. The third aim is to apply these novel approaches to Australian rare and threatened species case studies with the intention of habitat suitability modelling. The _rst aim is ful_lled by investigating two innovative approaches for habitat suitability modelling and sensitivity analysis of the second approach to priors. The _rst approach is a new multilevel framework developed to model the species distribution at multiple scales and identify excess zeros (absences outside the species range). Applying a statistical modelling approach to the identi_cation of excess zeros has not previously been conducted. The second approach is an extension and application of Bayesian classi_cation trees to modelling the habitat suitability of a threatened species. This is the _rst `real' application of this approach in ecology. Lastly, sensitivity analysis of the priors in Bayesian classi_cation trees are examined for a real case study. Previously, sensitivity analysis of this approach to priors has not been examined. To address the second aim, expert elicitation methods are developed, extended and compared in this thesis. In particular, one elicitation approach is extended from previous research, there is a comparison of three elicitation methods, and one new elicitation approach is proposed. These approaches are illustrated for habitat suitability modelling of a rare species and the opinions of one or two experts are elicited. The _rst approach utilises a simple questionnaire, in which expert opinion is elicited on whether increasing values of a covariate either increases, decreases or does not substantively impact on a response. This approach is extended to express this information as a mixture of three normally distributed prior distributions, which are then combined with available presence/absence data in a logistic regression. This is one of the _rst elicitation approaches within the habitat suitability modelling literature that is appropriate for experts with limited statistical knowledge and can be used to elicit information from single or multiple experts. Three relatively new approaches to eliciting expert knowledge in a form suitable for Bayesian logistic regression are compared, one of which is the questionnaire approach. Included in this comparison of three elicitation methods are a summary of the advantages and disadvantages of these three methods, the results from elicitations and comparison of the prior and posterior distributions. An expert elicitation approach is developed for classi_cation trees, in which the size and structure of the tree is elicited. There have been numerous elicitation approaches proposed for logistic regression, however no approaches have been suggested for classi_cation trees. The last aim of this thesis is addressed in all chapters, since the statistical approaches proposed and extended in this thesis have been applied to real case studies. Two case studies have been examined in this thesis. The _rst is the rare native Australian thistle (Stemmacantha australis), in which the dataset contains a large number of absences distributed over the majority of Queensland, and a small number of presence sites that are only within South-East Queensland. This case study motivated the multilevel modelling framework. The second case study is the threatened Australian brush-tailed rock-wallaby (Petrogale penicillata). The application and sensitivity analysis of Bayesian classi_cation trees, and all expert elicitation approaches investigated in this thesis are applied to this case study. This work has several implications for conservation and management of rare and threatened species. Novel statistical approaches addressing the _rst aim provide extensions to currently existing methods, or propose a new approach, for identi _cation of current and potential habitat. We demonstrate that better model predictions can be achieved using each method, compared to standard techniques. Elicitation approaches addressing the second aim ensure expert knowledge in various forms can be harnessed for habitat modelling, a particular bene_t for rare and threatened species which typically have limited data. Throughout, innovations in statistical methodology are both motivated and illustrated via habitat modelling for two rare and threatened species: the native thistle Stemmacantha australis and the brush-tailed rock wallaby Petrogale penicillata.
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Kiepusewski, Bartosz. "Expressiveness and suitability of languages for control flow modelling in workflows." Thesis, Queensland University of Technology, 2003.

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5

Steenkamp, Pieter Johannes. "Ecological suitability modelling for anthrax in the Kruger National Park, South Africa." Diss., University of Pretoria, 2013. http://hdl.handle.net/2263/23358.

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Bacillus anthracis is the causal agent of anthrax which primarily affects ungulates, occasionally carnivores and less frequently humans. The endospores of this soil-borne bacterium are highly resistant to extreme conditions, and under ideal conditions, anthrax spores can survive for many years in the soil. The bacterium is generally found in soil at sites where infected animals have died. When these spores are exposed, they have the potential to be ingested by a mammalian species which could lead to an anthrax outbreak. Anthrax is almost never transmitted directly from host to host, but is rather ingested by herbivores while drinking, grazing or browsing in a contaminated environment, with the exception of scavengers and carnivores consuming infected prey. Anthrax is known to be endemic in the northern part of Kruger National Park (KNP) in South Africa (SA), with occasional epidemics spreading southward into the non-endemic areas. The aim of this study is to identify and map areas that are ecologically suitable for the harbouring of B. anthracis spores within the KNP. Anthrax surveillance data and selected environmental variables were used as inputs to the maximum entropy (Maxent) species distribution modelling method. Five-hundred and ninety-seven anthrax occurrence records, dating from the year 1988 to 2011, were extracted from the Skukuza State Veterinary Office’s database. A total of 40 environmental variables were used and their relative contribution to predicting suitability for anthrax occurrence was evaluated using Maxent software (version 3.3.3k). Variables showing the highest gain were then used for subsequent, refined model iterations until the final model parameters were established. The environmental variables that contributed the most to the occurrence of anthrax were soil type, normalized difference vegetation index (NDVI), land type and precipitation. A map was created using a geographic information system (GIS) that illustrates the sites where anthrax spores are most likely to occur throughout the Park. This included the known endemic Pafuri region as well as the low lying soils along the Shingwedzi-Phugwane-Bubube rivers and the Letaba-Olifants river drainage area. The outputs of this study could guide future targeted surveillance efforts to focus on areas predicted to be highly suitable for anthrax, especially since the KNP uses passive surveillance to detect anthrax outbreaks. Knowing where to look can improve sampling efficiency and lead to increased understanding of the ecology of anthrax within the KNP.
Dissertation (MMedVet)--University of Pretoria, 2013.
Production Animal Studies
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Geyer, Rian Willem. "Value-adding business process modelling : determining the suitability of a business process modelling technique for a given application." Thesis, Stellenbosch : Stellenbosch University, 2013. http://hdl.handle.net/10019.1/85758.

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Thesis (MScEng)-- Stellenbosch University, 2013.
ENGLISH ABSTRACT: Organizations formally define and document their business processes in order to properly understand them and to subsequently enable their continuous development, improvement and management. In order to formally define and document their business processes, organizations can use Business Process Modelling, which represents the design of graphical models that portray the business processes of organizations. It is however noted that it is difficult to select a suitable Business Process Modelling Technique in support of a specific application of Business Process Modelling. This is due to the considerable amount of existing Business Process Modelling Techniques, the inherent impact of their varying capabilities and the lack of formal measures that are available to support evaluations regarding their suitability for specific modelling applications. It is therefore considered appropriate to execute a research study that is aimed at the development and validation of a measurement framework that can be used to evaluate the suitability of Business Process Modelling Techniques for specific modelling applications.
AFRIKAANSE OPSOMMING: Organisasies definieer en dokumenteer hulle besigheidsprosesse op ʼn formele wyse om hulle ordentlik te verstaan en gevolglik hulle deurlopende ontwikkeling, verbetering en bestuur te bemagtig. Ten einde die uitvoering van hierdie aktiwiteit aan te spreek, kan organisasies Besigheidsproses Modellering gebruik om grafiese modelle van hulle besigheidsprosesse te ontwerp. Daar word egter kennis geneem dat dit moeilik is om ʼn geskikte Besigheidsproses Modellering Tegniek te kies tes ondersteuning van ʼn spesifieke toepassing van Besigheidsproses Modellering. Dit is weens die groot hoeveelheid bestaande Besigheidsproses Modellering Tegnieke, die impak van hulle variërende vermoëns asook die gebrek aan formele maatstawwe wat gebruik kan word om hulle geskiktheid vir spesifieke modellering toepassings te evalueer. Dit lei tot die besluit om ‘n studie te voltooi wat gefokus is op die ontwikkeling en validasie van ʼn metings raamwerk wat gebruik kan word om die geskiktheid van Besigheidsproses Modellering Tegnieke vir spesifieke toepassings van Besigheidproses Modellering te evalueer.
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Alves, Helena Maria Ramos. "Quantitative land suitability evaluation using readily available data sources : a case study of maize in Minas Gerais, Brazil." Thesis, University of Reading, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.335886.

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Handisyde, Neil. "The use of remote sensing and GIS for modelling aquaculture site suitability in relation to changing climate." Thesis, University of Stirling, 2015. http://hdl.handle.net/1893/21885.

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Globally fish production has continued to increase during recent years at a rate exceeding that of human population growth. However the contribution from capture fisheries has remained largely static since the late 1980s with the increase in production being accounted for by dramatic growth in the aquaculture sector. As of 2012 aquaculture accounted for approximately 42% of total fisheries production and 78% of inland fish production. In view of these figures it is unsurprising that for a number of regions aquaculture represents an important source of both food security and income. The use of Geographical Information Systems (GIS) and spatial data have seen substantial developments in recent years with the help of increasingly affordable computing capacity. From an aquaculture perspective the use of GIS has shown significant potential as a means of combining varied data sources, including those acquired via remote sensing, into models to provide decision support in relation to site selection. A common theme amongst site suitability assessments is the incorporation of climate variables relating to temperature and water availability. These factors in turn can have a significant influence on aquaculture in terms of water availability and quality, and temperature modulated growth performance. There is now a strong consensus that during the 20th century, and especially during recent decades, the earth has experienced a significant warming trend. There is also strong agreement that this warming trend is at least partially a consequence of anthropogenic greenhouse gas emissions and that some degree of further warming is inevitable. While global warming is typically discussed in terms of degrees centigrade of average global temperature increase the full effects in terms of climate changes will be varied both in terms of location and season. The current project focuses on site suitability for aquaculture in relation to changing climate conditions. Significant use is made of GIS and a range of spatial data including remotely sensed data and output from a series of climate models. The project consists of a number of key components: 1. Vulnerability of aquaculture related livelihoods to climate change was assessed at the global scale based on the concept of vulnerability to climate related impacts as a function of sensitivity to climate change, exposure to climate change, and adaptive capacity. Use was made of national level statistics along with gridded climate and population data. Climate change scenarios were supplied using the MAGICC/SCENGEN climate modelling tools. Analysis was conducted for aquaculture in freshwater, brackish, and marine environments with outputs represented as a series of raster images. A number of Asian countries (Vietnam, Bangladesh, Laos, and China) were indicated as most vulnerable to impacts on freshwater production. Vietnam, Thailand, Egypt and Ecuador stood out in terms of brackish water production. Norway and Chile were considered most vulnerable to impacts on Marine production while a number of Asian countries (China, Vietnam, and the Philippines) also ranked highly. 2. Site suitability for pond-based aquaculture was modelled at the global scale using a 10 arcsecond grid. Data from an ensemble of 13 climate models was used to model pond temperature and water availability for rain fed ponds under late 20th century conditions and for a 2°C global warming scenario. Two methods are demonstrated for combining data with a focus on the culture of warm water species. Results suggest both positive and negative impacts in relation to the 2°C warming scenario depending on location and season. Some areas are projected to see negative effects from maximum temperatures during the warmest parts of the year while for many regions there are likely to be potential increases in growth performance during colder months with possible expansion into previously unsuitable areas. 3. Methods for detecting surface water using remotely sensed data were investigated for Bangladesh. Use was made of data from the Moderate-resolution Imaging Spectroradiometer (MODIS) and Landsat ETM+ instruments with accuracy assessed against ground truth data collected in the field. A time series was constructed using all available MODIS data (approximately 13 years with an 8 day temporal resolution) to show areas of: surface water, land, and mixed land and water. The time series was then analysed to produce a layer showing the percentage of the total time series where surface water is indicated thus providing a spatial representation of flood prevalence. 4. A land cover data set was produced using 9 Landsat ETM+ scenes to cover the majority of Bangladesh. 10 different classification routines were evaluated including a decision tree approach unique to the current study. Classification results were assessed against two sets of ground control points produced: one based on field collected ground truth data and the other using a stratified random sampling procedure in association with visual analysis of high resolution true colour satellite images and ETM+ composites. The most accurate classifications were provided by the decision tree method developed for the current study and a Multi-Layer Perceptron (MLP) neural network based classifier. 5. Site suitability for pond-based aquaculture within Bangladesh was assessed using a GIS in combination with the ETM+ based land cover data, the MODIS based surface water time series, and components of the global site suitability assessment including modelled pond temperature data. Assessments were made based on late 20th century conditions and a 2°C global warming scenario. The MODIS surface water time series was also used to show the effects of storm surge flooding in relation to cyclone Aila that struck Bangladesh on 25th May 2009. The south and east of the country were considered most suitable for aquaculture due to more favourable cold season temperatures and higher water balance values. The north west of the country was considered least favourable due to higher maximum modelled pond temperatures and lower water balance values. The effect of the 2°C warming scenario was to enhance these trends. To date the potential spatial implications of changing climate for aquaculture has been significantly under researched. In this respect the current study provides a highly useful indication of where aquaculture related livelihoods may be vulnerable. In addition valuable and unique insights are provided into the distribution of areas of both potential increased, as well as decreased, suitability for existing aquaculture and further aquaculture development.
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Gontier, Mikael. "Spatial prediction tools for biodiversity in environmental assessment." Doctoral thesis, Stockholm : Land and Water Resource Engineering (Mark- och vattenteknik), Kungliga Tekniskan högskolan, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4775.

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Roger, Erin Biological Earth &amp Environmental Sciences Faculty of Science UNSW. "The persistence of common wombats in road impacted environments." Awarded by:University of New South Wales. Biological, Earth & Environmental Sciences, 2009. http://handle.unsw.edu.au/1959.4/44530.

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There is growing global concern over the influence of road development on the conservation of biodiversity and on the functioning of ecosystems. Published reviews in the field of road ecology have identified that most research has examined the effects of roads linearly and have advocated for research at landscape scales. Among the many effects roads have, one of the most significant is the loss of animal life resulting from collisions with vehicles. Despite this, little is known of what toll this has on animal populations and how these impacts vary with scale. This stems from the perception that impacts are localised and that animals killed are typically considered common, and therefore not of great conservation concern. This thesis challenges this notion by showing that the impacts of fatalities can affect populations at landscape extents and that commonness is not a barrier to localised extinction risk. To achieve this I focus on the common wombat; an example of a common species for which road impacts have never been previously examined. Chapter 1 provides an overview of the importance of scale in quantifying road impacts and the debate surrounding common species persistence in road environments. Chapter 2 assesses habitat use of wombats in a road environment at a local scale. Results suggest that wombats select for roadside habitat and as a result populations could be under threat. Chapter 3 is a predictive model of wombat road fatalities which demonstrates the importance of incorporating habitat use in predictive fatality modelling. Through use of a spatially explicit population viability analysis, Chapter 4 demonstrates that roads, in conjunction with other threats can affect the persistence of a common species at a local scale. Chapter 5 is a landscape extent assessment of wombat habitat use, finding that increased effort should be employed in evaluating how reserves confer resilience to species from the impacts of roads and that habitat quality can dictate road-based fatality rates. Chapter 6 summarises the research presented in the thesis and suggests direction for future work, particularly the importance of evaluating the interplay between susceptibility and abundance on species vulnerability in road environments.
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Books on the topic "Suitability modelling"

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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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Kulak, Dariusz. Wieloaspektowa metoda oceny stanu gleb leśnych po przeprowadzeniu procesów pozyskania drewna. Publishing House of the University of Agriculture in Krakow, 2017. http://dx.doi.org/10.15576/978-83-66602-28-1.

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Presented reasearch aimed to develop and analyse the suitability of the CART models for prediction of the extent and probability of occurrence of damage to outer soil layers caused by timber harvesting performed under varied conditions. Having employed these models, the author identified certain methods of logging works and conditions, under which they should be performed to minimise the risk of damaging forest soils. The analyses presented in this work covered the condition of soils upon completion of logging works, which was investigated in 48 stands located in central and south-eastern Poland. In the stands selected for these studies a few felling treatments were carried out, including early thinning, late thinning and final felling. Logging works were performed with use of the most popular technologies in Poland. Trees were cut down with chainsaws and timber was extracted by means of various skidding methods: with horses, semi-suspended skidding with the use of cable yarding systems, farm tractors equipped with cable winches or tractors of a skidder type, and forwarding employing farm tractors with trailers loaded mechanically by cranes or manually. The analyses also included mechanised forest operation with the use of a harvester and a forwarder. The information about the extent of damage to soil, in a form of wheel-ruts and furrows, gathered in the course of soil condition inventory served for construction of regression tree models using the CART method (Classification and Regression Trees), based on which the area, depth and the volume of soil damage under analysis, wheel-ruts and furrows, were determined, and the total degree of all soil disturbances was assessed. The CART classification trees were used for modelling the probability of occurrence of wheel-ruts and furrows, or any other type of soil damage. Qualitative independent variables assumed by the author for developing the models included several characteristics describing the conditions under which the logging works were performed, mensuration data of the stands and the treatments conducted there. These characteristics covered in particular: the season of the year when logging works were performed, the system of timber harvesting employed, the manner of timber skidding, the means engaged in the process of timber harvesting and skidding, habitat type, crown closure, and cutting category. Moreover, the author took into consideration an impact of the quantitative independent variables on the extent and probability of occurrence of soil disturbance. These variables included the following: the measuring row number specifying a distance between the particular soil damage and communication tracks, the age of a stand, the soil moisture content, the intensity of a particular cutting treatment expressed by units of harvested timber volume per one hectare of the stand, and the mean angle of terrain inclination. The CART models developed in these studies not only allowed the author to identify the conditions, under which the soil damage of a given degree is most likely to emerge, or determine the probability of its occurrence, but also, thanks to a graphical presentation of the nature and strength of relationships between the variables employed in the model construction, they facilitated a recognition of rules and relationships between these variables and the area, depth, volume and probability of occurrence of forest soil damage of a particular type. Moreover, the CART trees served for developing the so-called decision-making rules, which are especially useful in organising logging works. These rules allow the organisers of timber harvest to plan the management-related actions and operations with the use of available technical means and under conditions enabling their execution in such manner as to minimise the harm to forest soils. Furthermore, employing the CART trees for modelling soil disturbance made it possible to evaluate particular independent variables in terms of their impact on the values of dependent variables describing the recorded disturbance to outer soil layers. Thanks to this the author was able to identify, amongst the variables used in modelling the properties of soil damage, these particular ones that had the greatest impact on values of these properties, and determine the strength of this impact. Detailed results depended on the form of soil disturbance and the particular characteristics subject to analysis, however the variables with the strongest influence on the extent and probability of occurrence of soil damage, under the conditions encountered in the investigated stands, enclosed the following: the season of the year when logging works were performed, the volume-based cutting intensity of the felling treatments conducted, technical means used for completion of logging works, the soil moisture content during timber harvest, the manner of timber skidding, dragged, semi-suspended or forwarding, and finally a distance between the soil damage and transportation ducts. The CART models proved to be very useful in designing timber harvesting technologies that could minimise the risk of forest soil damage in terms of both, the extent of factual disturbance and the probability of its occurrence. Another valuable advantage of this kind of modelling is an opportunity to evaluate an impact of particular variables on the extent and probability of occurrence of damage to outer soil layers. This allows the investigator to identify, amongst all of the variables describing timber harvesting processes, those crucial ones, from which any optimisation process should start, in order to minimise the negative impact of forest management practices on soil condition.
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Book chapters on the topic "Suitability modelling"

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Truesdale, John, Sandy Louchart, Helen Hastie, and Ruth Aylett. "Suitability of Modelling Context for Use within Emergent Narrative." In Interactive Storytelling, 65–70. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02756-2_8.

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Wohed, P., W. M. P. van der Aalst, M. Dumas, A. H. M. ter Hofstede, and N. Russell. "On the Suitability of BPMN for Business Process Modelling." In Lecture Notes in Computer Science, 161–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11841760_12.

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Pankratova, Nataliya, Galina Gorelova, and Vladimir Pankratov. "Study of the Plot Suitability for Underground Construction: Cognitive Modelling." In Advances in Intelligent Systems and Computing, 246–64. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-54215-3_16.

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Hilda, Manzi K., and Joseph P. Gweyi-Onyango. "Geoinformation for Land Suitability Modelling for Climate-Smart Farming in Africa." In Agriculture, Livestock Production and Aquaculture, 155–65. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93258-9_9.

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Jonietz, David, Wolfgang Schuster, and Sabine Timpf. "Modelling the Suitability of Urban Networks for Pedestrians: An Affordance-Based Framework." In Geographic Information Science at the Heart of Europe, 369–82. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00615-4_21.

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Imam, Ekwal. "Habitat Suitability Modelling for Sambar (Rusa unicolor): A Remote Sensing and GIS Approach." In Environment and Earth Observation, 231–46. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46010-9_15.

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Silva, T., V. Sousa, F. Silva, and A. M. P. Jesus. "On the Suitability of Instrumented Orthogonal Cutting Tests Towards Cutting Load Modelling in Turning Operations." In Lecture Notes in Mechanical Engineering, 339–50. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09382-1_30.

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Belavadi, Poornima, Laura Burbach, Martina Ziefle, and André Calero Valdez. "Finding a Structure: Evaluating Different Modelling Languages Regarding Their Suitability of Designing Agent-Based Models." In Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Body, Motion and Behavior, 201–19. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77817-0_16.

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Osipov, Aleksey G., Vitaly V. Garmanov, Vladimir L. Bogdanov, Viktoria A. Pavlova, Vitaly V. Terleev, and Aleksandr O. Nikonorov. "Modelling of the Suitability of Lands to the Agrarian Use and Their Resistance to Negative Processes." In Innovations in Landscape Research, 123–42. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37421-1_7.

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Shrestha, Bikram, and Pavel Kindlmann. "Assessment of the Suitability of Particular Areas in Nepal for Snow Leopard Based on MaxEnt Modelling." In Snow Leopards in Nepal, 141–59. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11355-0_6.

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Conference papers on the topic "Suitability modelling"

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Tobias, E., E. Ras, and N. Amalio. "Suitability of visual modelling languages for modelling tangible user interface applications." In 2012 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2012). IEEE, 2012. http://dx.doi.org/10.1109/vlhcc.2012.6344548.

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"Towards Application Suitability for PvC Environments." In 3rd International Workshop on Modelling, Simulation, Verification and Validation of Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2005. http://dx.doi.org/10.5220/0002577400580062.

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Limbrey, R. "The suitability of satellite broadband to meet distributed applications performance requirements." In Simulation and Modelling of Satellite Systems. IEE, 2002. http://dx.doi.org/10.1049/ic:20020065.

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Sarma, Kandarpa Kumar, and Abhijit Mitra. "MIMO channel modelling: Suitability between Neuro-Fuzzy and Fuzzy-Neural approaches." In 2012 2nd National Conference on Computational Intelligence and Signal Processing (CISP). IEEE, 2012. http://dx.doi.org/10.1109/nccisp.2012.6189668.

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"Habitat suitability and susceptibility modeling for strategic control of invasive Buffel grass, 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.h15.marshall.

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Nuary, Rizky Brisha, Rahmat Setiyono, and Anggoro Cahyo Sukartiko. "Land Suitability Modelling of Agricultural Geographical Indication Products under Climate Change Scenarios." In 2nd International Conference on Smart and Innovative Agriculture (ICoSIA 2021). Paris, France: Atlantis Press, 2022. http://dx.doi.org/10.2991/absr.k.220305.011.

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Rozman, T., and R. V. Horvat. "Case study of the suitability of the process modelling methodology in a team." In 28th International Conference on Information Technology Interfaces, 2006. IEEE, 2006. http://dx.doi.org/10.1109/iti.2006.1708460.

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Majovská, Renata, and Petr Fiala. "MODELLING OF SUPPLY NETWORK DESIGN." In The 19th International Conference on Modelling and Applied Simulation. CAL-TEK srl, 2019. http://dx.doi.org/10.46354/i3m.2019.mas.004.

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The paper is dedicated to proposed modelling approach for supply networks. The original structure of network systems can be modelled as complex adaptive systems and use agent-oriented simulation to demonstrate origin. The structure is clarified by expert opinion with use of DEMATEL method. The suitability of supply networks can be measured by multiple objectives, such as economic, environmental, social, and others. Traditional concepts of optimality focus on valuation of already given systems. We propose to use a methodology for optimal system design. As a methodology of optimal system design can be employed De Novo Multi-objective Linear Programming for reshaping feasible sets in linear systems.
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"Moving window analysis links landscape-scale resource utilization to habitat suitability models of feral pigs in northern Australia." In 21st International Congress on Modelling and Simulation (MODSIM2015). Modelling and Simulation Society of Australia and New Zealand, 2015. http://dx.doi.org/10.36334/modsim.2015.f10.froese.

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"Suitability of a coupled hydrodynamic water quality model to predict changes in water quality from altered meteorological boundary conditions." 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.l5.vanderlinden.

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Reports on the topic "Suitability modelling"

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Aguilar, Glenn, Dan Blanchon, Hamish Foote, Christina Pollonais, and Asia Mosee. Queensland Fruit Fly Invasion of New Zealand: Predicting Area Suitability Under Future Climate Change Scenarios. Unitec ePress, October 2017. http://dx.doi.org/10.34074/pibs.rs22015.

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The Queensland fruit fly (Bactrocera tryoni) is a significant horticultural pest in Australia, and has also established in other parts of the Pacific. There is a significant risk to New Zealand of invasion by this species, and several recent incursions have occurred. The potential effects of climate change on the distribution and impacts of invasive species are well known. This paper uses species distribution modelling using Maxent to predict the suitability of New Zealand to the Queensland fruit fly based on known occurrences worldwide and Bioclim climatic layers. Under current climatic conditions the majority of the country was generally in the lower range, with some areas in the medium range. Suitability prediction maps under future climate change conditions in 2050 and 2070, at lower emission (RCP 2.6) and higher emission (RCP 8.5) scenarios generally show an increase in suitability in both the North and South Islands. Calculations of the shift of suitable areas show a general movement of the centroid towards the south-east, with the higher emission scenario showing a greater magnitude of movement.
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Aguilar, G., H. Waqa-Sakiti, and L. Winder. Using Predicted Locations and an Ensemble Approach to Address Sparse Data Sets for Species Distribution Modelling: Long-horned Beetles (Cerambycidae) of the Fiji Islands. Unitec ePress, December 2016. http://dx.doi.org/10.34074/book.008.

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In response to unique species in Fiji which are threatened or endangered, and in critical need of effective conservation measures to ensure their survival, author Glenn Aguilar has produced an eMedia publication and learning research tool, called GIS For Conservation.The eMedia website hosts tutorial material, videos and modelling results for conservation management and planning purposes. Users will learn spatial analytical skills, species distribution modelling and other relevant GIS tools, as well as enhance ArcMap skills and the species distribution modelling tool Maxent. Accompanying the GIS For Conservation website is a peer-reviewed research report. The report details the case study and research methods that have informed the eMedia publication, focusing on the development of maps predicting the suitability of the Fiji Islands for longhorned beetles (Cerambycidae) that include endemic and endangered species such as the Giant Fijian Beetle Xixuthrus heros.
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Transformational adaptation of key root and tuber crops in Asia: Assessing crop suitability amidst climate change by species distribution modelling. International Potato Center, 2019. http://dx.doi.org/10.4160/9789290605300.

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