Relevant bibliographies by topics / Species distribution modelling (SDM)

Contents

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

Academic literature on the topic 'Species distribution modelling (SDM)'

Author: Grafiati
Published: 15 June 2024
Last updated: 31 July 2025

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Journal articles on the topic "Species distribution modelling (SDM)"

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Kamino, Luciana H. Y., João Renato Stehmann, Silvana Amaral, et al. "Challenges and perspectives for species distribution modelling in the neotropics." Biology Letters 8, no. 3 (2011): 324–26. http://dx.doi.org/10.1098/rsbl.2011.0942.

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The workshop ‘ Species distribution models: applications, challenges and perspectives ’ held at Belo Horizonte (Brazil), 29–30 August 2011, aimed to review the state-of-the-art in species distribution modelling (SDM) in the neotropical realm. It brought together researchers in ecology, evolution, biogeography and conservation, with different backgrounds and research interests. The application of SDM in the megadiverse neotropics—where data on species occurrences are scarce—presents several challenges, involving acknowledging the limitations imposed by data quality, including surveys as an inte
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Lowen, J. Benjamin, Devorah R. Hart, Ryan R. E. Stanley, Sarah J. Lehnert, Ian R. Bradbury, and Claudio DiBacco. "Assessing effects of genetic, environmental, and biotic gradients in species distribution modelling." ICES Journal of Marine Science 76, no. 6 (2019): 1762–75. http://dx.doi.org/10.1093/icesjms/fsz049.

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Abstract To develop more reliable marine species distribution models (SDMs), we examine how genetic, climatic, and biotic interaction gradients give rise to prediction error in marine SDM. Genetic lineages with distinct ecological requirements spanning genetic gradients have yet to be treated separately in marine SDM, which are often constrained to modeling the potential distribution of one biological unit (e.g. lineage or species) at a time. By comparing SDM performance for the whole species or where observation and predictions were partitioned among geographically discontinuous genetic linea
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Beale, Colin M., and Jack J. Lennon. "Incorporating uncertainty in predictive species distribution modelling." Philosophical Transactions of the Royal Society B: Biological Sciences 367, no. 1586 (2012): 247–58. http://dx.doi.org/10.1098/rstb.2011.0178.

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Motivated by the need to solve ecological problems (climate change, habitat fragmentation and biological invasions), there has been increasing interest in species distribution models (SDMs). Predictions from these models inform conservation policy, invasive species management and disease-control measures. However, predictions are subject to uncertainty, the degree and source of which is often unrecognized. Here, we review the SDM literature in the context of uncertainty, focusing on three main classes of SDM: niche-based models, demographic models and process-based models. We identify sources
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Wunderlich, Rainer Ferdinand, Yu-Pin Lin, Johnathen Anthony, and Joy R. Petway. "Two alternative evaluation metrics to replace the true skill statistic in the assessment of species distribution models." Nature Conservation 35 (June 20, 2019): 97–116. https://doi.org/10.3897/natureconservation.35.33918.

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Model evaluation metrics play a critical role in the selection of adequate species distribution models for conservation and for any application of species distribution modelling (SDM) in general. The responses of these metrics to modelling conditions, however, are rarely taken into account. This leads to inadequate model selection, downstream analyses and uniformed decisions. To aid modellers in critically assessing modelling conditions when choosing and interpreting model evaluation metrics, we analysed the responses of the True Skill Statistic (TSS) under a variety of presence-background mod
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Booth, Trevor H. "The Origins of Modern Species Distribution Modelling: Some Comments on the Vasconcelos et al. (2024) Review." Earth 6, no. 1 (2025): 12. https://doi.org/10.3390/earth6010012.

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A recent review of species distribution modelling (SDM) published in Earth contains much useful information. However, the introductory paragraphs lack basic information about the first SDM package called BIOCLIM, which became available in January 1984. For example, BIOCLIM-related advances underpinned the development of the most used SDM variables and data. The first SDM climate change studies published in 1988 highlighted the importance of ex situ and native distribution data. This brief note highlights the importance of the early SDM work and its continuing relevance.
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Turan, Cemal. "Impacts of climate change and species distribution modelling: Future scenarios to invasive alien lionfish distribution in the Mediterranean Sea." Biodiversity Information Science and Standards 3 (June 26, 2019): e37363. https://doi.org/10.3897/biss.3.37363.

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The progress on species distribution modelling (SDM) methods has brought new insights into the field of biological invasion management. In particular, statistical niche modelling, for spatio-temporal predictions of marine species' distribution, is an increasingly used tool, supporting efficient decision-making for prevention and conservation. Earth's climate has changed significantly in the last century and the number of alien species penetrating from Indo-Pacific Ocean and South part of the Atlantic in the Mediterranean will continue to increase over the next decades. The purpose of the prese
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Delgado‐Jaramillo, Mariana, Ludmilla M. S. Aguiar, Ricardo B. Machado, Enrico Bernard, and Marion Pfeifer. "Assessing the distribution of a species‐rich group in a continental‐sized megadiverse country: Bats in Brazil." Diversity and Distributions 26, no. 5 (2020): 632–43. https://doi.org/10.5281/zenodo.13467705.

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(Uploaded by Plazi for the Bat Literature Project) Aim: The effective conservation and management of any given species frequently requires basic knowledge on its distribution, which is problematic for highly mobile, species- and ecologically-rich groups, like bats. Moreover, to produce detailed distributions for continental-sized, bat species-rich countries, like Brazil, is difficult, especially considering that ~60% of the country has not a single formal bat record. Using Species Distribution Modelling (SDM), we assessed the potential distribution of >100 species of Brazilian bats.
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Delgado‐Jaramillo, Mariana, Ludmilla M. S. Aguiar, Ricardo B. Machado, Enrico Bernard, and Marion Pfeifer. "Assessing the distribution of a species‐rich group in a continental‐sized megadiverse country: Bats in Brazil." Diversity and Distributions 26, no. 5 (2020): 632–43. https://doi.org/10.5281/zenodo.13467705.

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(Uploaded by Plazi for the Bat Literature Project) Aim: The effective conservation and management of any given species frequently requires basic knowledge on its distribution, which is problematic for highly mobile, species- and ecologically-rich groups, like bats. Moreover, to produce detailed distributions for continental-sized, bat species-rich countries, like Brazil, is difficult, especially considering that ~60% of the country has not a single formal bat record. Using Species Distribution Modelling (SDM), we assessed the potential distribution of >100 species of Brazilian bats.
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Delgado‐Jaramillo, Mariana, Ludmilla M. S. Aguiar, Ricardo B. Machado, Enrico Bernard, and Marion Pfeifer. "Assessing the distribution of a species‐rich group in a continental‐sized megadiverse country: Bats in Brazil." Diversity and Distributions 26, no. 5 (2020): 632–43. https://doi.org/10.5281/zenodo.13467705.

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(Uploaded by Plazi for the Bat Literature Project) Aim: The effective conservation and management of any given species frequently requires basic knowledge on its distribution, which is problematic for highly mobile, species- and ecologically-rich groups, like bats. Moreover, to produce detailed distributions for continental-sized, bat species-rich countries, like Brazil, is difficult, especially considering that ~60% of the country has not a single formal bat record. Using Species Distribution Modelling (SDM), we assessed the potential distribution of >100 species of Brazilian bats.
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Delgado‐Jaramillo, Mariana, Ludmilla M. S. Aguiar, Ricardo B. Machado, Enrico Bernard, and Marion Pfeifer. "Assessing the distribution of a species‐rich group in a continental‐sized megadiverse country: Bats in Brazil." Diversity and Distributions 26, no. 5 (2020): 632–43. https://doi.org/10.5281/zenodo.13467705.

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(Uploaded by Plazi for the Bat Literature Project) Aim: The effective conservation and management of any given species frequently requires basic knowledge on its distribution, which is problematic for highly mobile, species- and ecologically-rich groups, like bats. Moreover, to produce detailed distributions for continental-sized, bat species-rich countries, like Brazil, is difficult, especially considering that ~60% of the country has not a single formal bat record. Using Species Distribution Modelling (SDM), we assessed the potential distribution of >100 species of Brazilian bats.
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Dissertations / Theses on the topic "Species distribution modelling (SDM)"

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Urvois, Teddy. "Structure génétique et modélisation de la distribution des populations de deux espèces invasives de Xylosandrus (Scolytinae - Xyleborini) : deux espèces proches aux histoires d’invasion différentes." Electronic Thesis or Diss., Orléans, 2022. https://theses.univ-orleans.fr/prive/accesESR/2022ORLE1031_va.pdf.

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Xylosandrus compactus et X. crassiusculus sont deux scolytes originaires d’Asie du Sud-Est et invasifs sur plusieurs continents, dont la biologie et l’écologie atypiques favorisent l’invasion. Une approche pluridisciplinaire a été utilisée au cours de cette thèse afin (i) d’identifier l’origine des populations invasives et leurs routes d’invasion, et (ii) de déterminer les zones dans lesquelles elles pourraient s'étendre et s’établir. Les routes d’invasion ont été retracées à l’aide d’un marqueur mitochondrial et de marqueurs génomiques, et les zones favorables à l’établissement de chaque espè
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Fournier, Alice. "Modéliser et prédire les invasions biologiques." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS144/document.

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Les invasions biologiques, deuxième cause de perte de biodiversité à l’échelle mondiale, représentent un risque majeur auquel nos sociétés doivent faire face. On parle d’invasion biologique lorsque des activités humaines permettent à une espèce de franchir des barrières qui jusqu’alors limitaient sa dispersion ou sa multiplication, entrainant une explosion géographique et démographique de l’espèce dans un nouvel écosystème et s’accompagnant éventuellement d’impacts économiques, sociétaux ou écologiques. La façon la plus efficace et la moins coûteuse de limiter les impacts causés par les espèce
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Dal, Maso Elisa. "Epidemiology and control strategies applied to ash dieback and chestnut ink disease." Doctoral thesis, Università degli studi di Padova, 2015. http://hdl.handle.net/11577/3424092.

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Main goal of forest diseases’ management is to reduce economic, biological and aesthetic damages and biodiversity loss caused by plant parasites. The many strategies used can be grouped under two main actions, prevention (prophylaxis in some early writings) and therapy (treatment or cure). Prevention is limited primarily by the lack of knowledge of the organisms involved, including host plants. Mathematical models have been used to extend the understanding of plant disease epidemiology on a number of fronts, providing an opportunity for a more rational use of resources on expensive field trial
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Andrade, André Felipe Alves de. "Estimativa da vulnerabilidade dos corais brasileiros." Universidade Federal de Goiás, 2016. http://repositorio.bc.ufg.br/tede/handle/tede/5592.

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Submitted by Cláudia Bueno (claudiamoura18@gmail.com) on 2016-05-19T19:46:17Z No. of bitstreams: 2 Dissertação - André Felipe Alves de Andrade - 2016.pdf: 2007118 bytes, checksum: 69341ce5bc6c459857d1feff5d92366e (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5)<br>Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2016-05-20T13:54:17Z (GMT) No. of bitstreams: 2 Dissertação - André Felipe Alves de Andrade - 2016.pdf: 2007118 bytes, checksum: 69341ce5bc6c459857d1feff5d92366e (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714
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Serrano, Atuesta Yuliett Marcela. "Patterns of distribution of tree species in the neotropical lowland rainforest biome." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/31237.

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This thesis aims to explore distributional patterns of tree species in the neotropical lowland rain forest biome based on diversity analyses, dated phylogenies and species distribution models, using the family Sapotaceae as a case study. Sapotaceae is an abundant and diverse group in the neotropical lowland rain forest and its distributional patterns are representative of other tree clades in this biome. These characteristics make this family a good model to test ecological and biogeographic hypothesis in neotropical rain forests. An analysis of beta-diversity measured by the number of shared
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Robertson, Mark Peter. "Predictive modelling of species' potential geographical distributions." Thesis, Rhodes University, 2003. http://hdl.handle.net/10962/d1007189.

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Models that are used for predicting species' potential distributions are important tools that have found applications in a number of areas of applied ecology. The majority of these models can be classified as correlative, as they rely on strong, often indirect, links between species distribution records and environmental predictor variables to make predictions. Correlative models are an alternative to more complex mechanistic models that attempt to simulate the mechanisms considered to underlie the observed correlations with environmental attributes. This study explores the influence of the ty
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Marshall, Charlotte Emily. "Species distribution modelling to support marine conservation planning." Thesis, University of Plymouth, 2012. http://hdl.handle.net/10026.1/1176.

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This thesis explores some important practical considerations concerning the use of species distribution models in marine conservation planning. Using geo-referenced gorgonian distribution data, together with explanatory environmental variables, predictive models have been used to map the spatial distribution of suitable gorgonian (sea fan) habitat in two study sites; Hatton Bank, in the Northeast Atlantic, and Lyme Bay on the south coast of Devon. Generalized Linear Models (GLMs), Generalized Additive Models (GAMs) and a Maximum Entropy (Maxent) model have been used to support critical investi
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Dube, Qobo. "Species distribution modelling of Aloidendron dichotomum (quiver tree)." Master's thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/29625.

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A variety of species distribution models (SDMs) were fit to data collected by a 15,000km road-side visual survey of Aloidendron dichotomum populations in the Northern Cape region of South Africa, and Namibia. We fit traditional presence/absence SDMs as well as SDMs on how proportions are distributed across three species stage classes (juvenile, adult, dead). Using five candidate machine learning methods and an ensemble model, we compared a number of approaches, including the role of balanced class (presence/absence) datasets in species distribution modelling. Secondary to this was whether or n
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Hanf, Daniella. "Species Distribution Modelling of Western Pilbara Inshore Dolphins." Thesis, Hanf, Daniella (2015) Species Distribution Modelling of Western Pilbara Inshore Dolphins. Masters by Research thesis, Murdoch University, 2015. https://researchrepository.murdoch.edu.au/id/eprint/29205/.

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This thesis presents the first insights into inshore dolphin distribution of the western Pilbara. The region is undergoing rapid coastal development, which has the potential to threaten Indo-Pacific bottlenose dolphin (Tursiops aduncus) and Australian humpback dolphin (Sousa sahulensis) populations. Understanding the distribution of these species is essential for their conservation. Species distribution models (SDMs) were developed using dolphin sightings data that were opportunistically collected during dugong aerial surveys. A geographical information system (GIS) was used to generate the
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Kon, Kam King Guillaume. "Revisiting Species Sensitivity Distribution : modelling species variability for the protection of communities." Thesis, Lyon 1, 2015. http://www.theses.fr/2015LYO10194/document.

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La SSD (Species Sensitivity Distribution) est une méthode utilisée par les scientifiques et les régulateurs de tous les pays pour fixer la concentration sans danger de divers contaminants sources de stress pour l'environnement. Bien que fort répandue, cette approche souffre de diverses faiblesses sur le plan méthodologique, notamment parce qu'elle repose sur une utilisation partielle des données expérimentales. Cette thèse revisite la SSD actuelle en tentant de pallier ce défaut. Dans une première partie, nous présentons une méthodologie pour la prise en compte des données censurées dans la SS
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Books on the topic "Species distribution modelling (SDM)"

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Ovaskainen, Otso. Joint Species Distribution Modelling. Cambridge University Press, 2020.

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Ovaskainen, Otso, and Nerea Abrego. Joint Species Distribution Modelling: With Applications in R. Cambridge University Press, 2020.

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Joint Species Distribution Modelling: With Applications in R. University of Cambridge ESOL Examinations, 2020.

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Craig, A., Alison Darren, Abbot Catherine, R. C. Venette, and Amy Christelle. Pest Risk Modelling and Mapping for Invasive Alien Species. CABI, 2015.

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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, inform
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Humphreys, John, and Sally Little, eds. Challenges in Estuarine and Coastal Science. Pelagic Publishing, 2022. http://dx.doi.org/10.53061/bdix4458.

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Estuarine and coastal waters are acknowledged centres for anthropogenic impacts. Superimposed on the complex natural interactions between land, rivers and sea are the myriad consequences of human activity – a spectrum ranging from locally polluting effluents to some of the severest consequences of global climate change. For practitioners, academics and students in the field of coastal science and policy, this book examines and exemplifies current and future challenges: from upper estuaries to open coasts and adjacent seas; from tropical to temperate latitudes; from Europe to Australia. This au
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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
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Bradstock, Ross A., A. Malcolm Gill, and Richard J. Williams, eds. Flammable Australia. CSIRO Publishing, 2012. http://dx.doi.org/10.1071/9780643104839.

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In Flammable Australia: Fire Regimes, Biodiversity and Ecosystems in a Changing World, leading researchers in fire ecology and management discuss how fire regimes have shaped and will continue to shape the distribution and abundance of Australia’s highly diverse plants and animals. Central to this is the exploration of the concept of the fire regime – the cumulative pattern of fires and their individual characteristics (fire type, frequency, intensity, season) and how variation in regime components affects landscapes and their constituent biota. &#x0D; Contributions by 44 authors explore a wid
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Book chapters on the topic "Species distribution modelling (SDM)"

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Barewar, Harish, Manish Kuntal Buragohain, and Suvha Lama. "Mapping the Impact of Climate Change on Eco-sensitive Hotspots Using Species Distribution Modelling (SDM): Gaps, Challenges, and Future Perspectives." In Ecosystem and Species Habitat Modeling for Conservation and Restoration. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0131-9_4.

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Gillman, E., and M. Gillman. "Modelling the distribution of butterfly species." In Modelling nature: an introduction to mathematical modelling of natural systems. CABI, 2019. http://dx.doi.org/10.1079/9781786393104.0147.

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Farashi, Azita, and Mohammad Alizadeh-Noughani. "Basic Introduction to Species Distribution Modelling." In Ecosystem and Species Habitat Modeling for Conservation and Restoration. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0131-9_2.

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Botella, Christophe, Alexis Joly, Pierre Bonnet, Pascal Monestiez, and François Munoz. "A Deep Learning Approach to Species Distribution Modelling." In Multimedia Tools and Applications for Environmental & Biodiversity Informatics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76445-0_10.

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Agbezuge, Eric Yaw, and P. Balakrishnan. "Application of Species Distribution Modelling in Agriculture: A Review." In Proceedings of Data Analytics and Management. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6547-2_14.

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Hershey, Rachel Riemann, Martin A. Ramirez, and David A. Drake. "Using Geostatistical Techniques to Map The Distribution of Tree Species From Ground Inventory Data." In Modelling Longitudinal and Spatially Correlated Data. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-0699-6_16.

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Bioco, João, Paula Prata, Fernando Canovas, and Paulo Fazendeiro. "On the Modelling of Species Distribution: Logistic Regression Versus Density Probability Function." In Lecture Notes in Networks and Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10464-0_25.

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Hudson, Irene L., Susan W. Kim, and Marie R. Keatley. "Modelling the Flowering of Four Eucalypt Species Using New Mixture Transition Distribution Models." In Phenological Research. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-3335-2_14.

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Osborne, Patrick E., and Philip J. Seddon. "Selecting Suitable Habitats for Reintroductions: Variation, Change and the Role of Species Distribution Modelling." In Reintroduction Biology. John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781444355833.ch3.

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Bushi, Dhoni, Oyi Dai Nimasow, and Gibji Nimasow. "Modelling the Distribution of a Medicinal Plant Oroxylum indicum (L.) Kurz for Its Conservation in Arunachal Pradesh." In Ecosystem and Species Habitat Modeling for Conservation and Restoration. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0131-9_11.

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Conference papers on the topic "Species distribution modelling (SDM)"

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Beardwood, E. S. "Modelling and Performance Monitoring of Biofilms." In CORROSION 1995. NACE International, 1995. https://doi.org/10.5006/c1995-95201.

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Abstract The detection and control of planktonic microorganisms has been well understood and practised over the years. However the fouling and corrosion associated with sessile bacterial development of biofilms continues to be an area of concern. The norm in industry has been to investigate biofilms associated with corrosion and metal failure long after a reduction in heat transfer efficiency has been incurred. With each case comes additional knowledge and improved understanding of the various processes operating concurrently. Whether corrosion is being directly affected by the presence of mic
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Popović, Teodora, Nina B. Ćurčić, Snežana Đurđić, Gorica Stanojević, and Marko Raković. "IMPORTANCE OF SPECIES DISTRIBUTION MODELLING IN NATURE CONSERVATION: CASE STUDY OF GLACIAL RELICT THREE-TOED WOODPECKER „PICOIDES TRIDACTYLUS“." In Book of Abstracts and Contributed Papers. Geographical Institute "Jovan Cvijić" SASA, 2024. http://dx.doi.org/10.46793/csge5.24tp.

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Identifying geographic areas with habitats suitable for the presence of priority species is of essential importance in conservation planning. A useful tool to identify these areas is a species distribution modelling (SDM), which is a method that defines statistical relationship between species records and environmental variables in the localities where the species is present. To test the possibility of applying this method in conservation planning, this study focused on the Three-toed Woodpecker Picoides tridactylus (Linnaeus, 1758) (Piciformes: Picidae) because it is a glacial relict on the B
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Miyaji, Renato O., and Pedro L. P. Corrêa. "Interpreting ML in Ecology: A RAG-Based Approach to Explainability in Species Distribution Modeling." In Workshop de Computação Aplicada à Gestão do Meio Ambiente e Recursos Naturais. Sociedade Brasileira de Computação - SBC, 2025. https://doi.org/10.5753/wcama.2025.8219.

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Species Distribution Modeling (SDM) relies increasingly on Machine Learning (ML), but many models remain opaque, limiting their usability for non-experts. While SHAP and LIME improve interpretability, they still require technical expertise. This study proposes an agentic Retrieval-Augmented Generation (RAG) framework, integrating ML models (Logistic Regression, Random Forests, MLP), XAI techniques (SHAP, LIME), and a LLM-powered explanation system to enhance explainability. Using GoAmazon 2014/15 environmental data and GBIF species occurrences, we evaluated explanations based on completeness,
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Zhang, Jian, and Sen Li. "A Review of Machine Learning Based Species' Distribution Modelling." In 2017 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration (ICIICII). IEEE, 2017. http://dx.doi.org/10.1109/iciicii.2017.76.

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Nahian, M. K., and R. G. Reddy. "Thermodynamic modelling of species distribution in AlCl3:BMIC salts." In 12th International Conference of Molten Slags, Fluxes and Salts (MOLTEN 2024) Proceedings. Australasian Institute of Mining and Metallurgy (AusIMM), 2024. http://dx.doi.org/10.62053/cquy1573.

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The thermodynamic model for species distribution in aluminium chloride (AlCl3) and 1-butyl-3-methylimidazolium chloride (BMIC) system was developed. The experimental thermodynamic data, considering a range of aluminium chloride species, such as AlCl4-, Al2Cl7-, Al3Cl10-, Al4Cl13-, and Al2Cl6 were used in developing the model. When the XAlCl3 was in the range of 0 to 0.50, only anion species Cl- and AlCl4- were existing in the solution. As the XAlCl3 value increased more than 0.50, the available anions were Al2Cl7-, Al3Cl10-, Al4Cl13-, and Al2Cl6. Specifically, the concentration of Al2Cl7- incr
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"Species distribution modelling for conservation planning in Victoria of Australia." 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.liu.

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Chen, Theresa, and Yao-Yi Chiang. "MiTREE: Multi-input Transformer Ecoregion Encoder for Species Distribution Modelling." In SIGSPATIAL '24: The 32nd ACM International Conference on Advances in Geographic Information Systems. ACM, 2024. http://dx.doi.org/10.1145/3687123.3698297.

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Real, Raimundo, and Alba Estrada. "A stepwise assessment of parsimony and entropy in species distribution modelling." In Entropy 2021: The Scientific Tool of the 21st Century. MDPI, 2021. http://dx.doi.org/10.3390/entropy2021-09790.

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Кривова, О. Н. "МОДЕЛИРОВАНИЕ СРЕДЫ ОБИТАНИЯ HARMONIA AXYRIDIS (PALLAS, 1773) (COCCINELLIDAE) НА ТЕРРИТОРИИ РЕСПУБЛИКИ МОЛДОВА МЕТОДОМ МАКСИМАЛЬНОЙ ЭНТРОПИИ MAXENT". У Scientific and practical conference with international participation "Geo- and bioecological problems of the middle and lower Dniester river basin". A.O. Asociația Internațională a Păstrătorilor Râului Eco-TIRAS, 2024. https://doi.org/10.70739/gbp2024.16.

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The aim of the study was to identify species potential distribution models (SDM) for invasive Asian ladybug (Harmonia axyridis) using the Maxent maximum entropy method. Bioclimatic predictors based on data from the State Hydrometeorological Service for 1991-2020, species observation data (gbif.org, inaturalist.org), and a list of limiting factors of the species (cabi.org) were used. ArcGIS 10.2 and Maxent 3.3.3k were used for data processing. A good spatial model of the species distribution was obtained (AUC = 0.881), consistent with a random test points used as control group. The most potenti
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"Sensitivity analysis to configuration option settings in a selection of species distribution modelling algorithms." 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.a1.hallgren.

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Reports on the topic "Species distribution modelling (SDM)"

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Weldon, James. Modelling the risks of Nymphoides peltata spread in Swedish lakes. Department of Aquatic Resources, Swedish University of Agricultural Sciences, 2024. http://dx.doi.org/10.54612/a.nmtj4tgmer.

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Species distribution modelling is a valuable tool for identifying areas most at risk of the spread of potentially harmful species. Here we model the environmental factors governing the distribution of a harmful species of concern that is currently found in Sweden at only a limited number of locations: the aquatic macrophyte N. peltata (sjögull). The most important factors determining risk of establishment are water chemistry (sufficient amounts of calcium is required), temperature (the species is partly limited by colder temperatures in Sweden) and connectivity to other water bodies. The resul
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Weldon, James, and Carlotta Meriggi. Modelling the risks of invasive aquatic species spread in Swedish lakes. Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, 2023. http://dx.doi.org/10.54612/a.r68r25qcb1.

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Species distribution modelling is a valuable tool for identifying areas most at risk of the spread of invasive species. Here we model the environmental factors governing the distributions of two invasive species of concern that are currently found in Sweden at only a limited number of locations: the aquatic macrophyte Elodea nuttallii (Nuttall’s waterweed / smal vattenpest) and the bivalve Dreissena polymorpha (Zebra mussel / vandrarmussla). For E.nuttallii, the greatest risk factors are connectivity with other water bodies (facilitating dispersion), human population density and length of grow
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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, 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 G
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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, 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 condi
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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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