Letteratura scientifica selezionata sul tema "Species distribution modelling (SDM)"
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Articoli di riviste sul tema "Species distribution modelling (SDM)":
Kamino, Luciana H. Y., João Renato Stehmann, Silvana Amaral, Paulo De Marco, Thiago F. Rangel, Marinez F. de Siqueira, Renato De Giovanni e Joaquín Hortal. "Challenges and perspectives for species distribution modelling in the neotropics". Biology Letters 8, n. 3 (26 ottobre 2011): 324–26. http://dx.doi.org/10.1098/rsbl.2011.0942.
Beale, Colin M., e Jack J. Lennon. "Incorporating uncertainty in predictive species distribution modelling". Philosophical Transactions of the Royal Society B: Biological Sciences 367, n. 1586 (19 gennaio 2012): 247–58. http://dx.doi.org/10.1098/rstb.2011.0178.
Lowen, J. Benjamin, Devorah R. Hart, Ryan R. E. Stanley, Sarah J. Lehnert, Ian R. Bradbury e Claudio DiBacco. "Assessing effects of genetic, environmental, and biotic gradients in species distribution modelling". ICES Journal of Marine Science 76, n. 6 (8 aprile 2019): 1762–75. http://dx.doi.org/10.1093/icesjms/fsz049.
Naimi, Babak, e Miguel B. Araújo. "sdm: a reproducible and extensible R platform for species distribution modelling". Ecography 39, n. 4 (1 marzo 2016): 368–75. http://dx.doi.org/10.1111/ecog.01881.
Wunderlich, Rainer Ferdinand, Yu-Pin Lin, Johnathen Anthony e Joy R. Petway. "Two alternative evaluation metrics to replace the true skill statistic in the assessment of species distribution models". Nature Conservation 35 (20 giugno 2019): 97–116. http://dx.doi.org/10.3897/natureconservation.35.33918.
Felicísimo, Ángel M., Ignacio Armendáriz e Virginia Alberdi Nieves. "Modelling the potential effects of climate change in the distribution of Xylotrechus arvicola in Spain". Horticultural Science 48, No. 1 (31 marzo 2021): 38–46. http://dx.doi.org/10.17221/85/2019-hortsci.
De Marco, Paulo, José Alexandre Felizola Diniz-Filho e Luis Mauricio Bini. "Spatial analysis improves species distribution modelling during range expansion". Biology Letters 4, n. 5 (29 luglio 2008): 577–80. http://dx.doi.org/10.1098/rsbl.2008.0210.
Untalan, M. Z. G., D. F. M. Burgos e K. P. Martinez. "SPECIES DISTRIBUTION MODELLING OF TWO SPECIES ENDEMIC TO THE PHILIPPINES TO SHOW THE APPLICABILITY OF MAXENT". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W19 (23 dicembre 2019): 449–54. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w19-449-2019.
Lobite, Neil Jun Sala. "Modelling Habitat Suitability and Distribution of the Endemic Mindanao Horned Frog (Pelobatrachus stejnegeri) and its Response to Changing Climate". Grassroots Journal of Natural Resources 7, n. 1 (30 aprile 2024): 123–37. http://dx.doi.org/10.33002/nr2581.6853.070107.
FREITAS, GUILHERME H. S., LÍLIAN M. COSTA, ANDERSON V. CHAVES, MARCELO F. VASCONCELOS, LEONARDO C. RIBEIRO, JULIANO C. SILVA, RONEY A. SOUZA, FABRÍCIO R. SANTOS e MARCOS RODRIGUES. "Geographic range and conservation of the Cipo Canastero Asthenes luizae, an endemic furnariid of Brazilian sky islands". Bird Conservation International 30, n. 3 (31 ottobre 2019): 365–80. http://dx.doi.org/10.1017/s0959270919000418.
Tesi sul tema "Species distribution modelling (SDM)":
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.
Xylosandrus compactus and X. crassiusculus are two ambrosia beetles originating from Southeastern Asia and invasive on several continents, whose atypical biology and ecology favour invasion. During this thesis, a multidisciplinary approach was used to (i) identify the origin of invasive populations and their invasion routes and (ii) determine the areas in which they could spread and establish. Invasion routes were traced using a mitochondrial marker and genomic markers, and the suitable areas for each species were identified using species distribution models (SDM).Despite their ecological and phylogenetic proximity, the two species have different invasion histories. Two lineages were identified in X. compactus, one originating from India or Vietnam, who invaded Africa, and the other from the Shanghai area, who independently invaded the American-Pacific and Europe. X. crassiusculus comprises two very diverging clusters, mostly allopatric and with different ecological niches. Cluster 1 independently invaded Pacific islands and Africa. Cluster 2 is responsible for the invasion in the Americas, Europe, Africa and Oceania, with several independent introductions from multiple sources (including bridgehead, where an invasion occurs from an area already invaded) followed by intra-continental dispersion. For both species, SDM showed suitable areas where the pests are not present yet and which could be invaded. We expect an impact of climate change on their future potential distributions. Conversely, the recent evolution of climate is not responsible for their recent invasion in Europe, which has already been suitable for decades
Fournier, Alice. "Modéliser et prédire les invasions biologiques". Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS144/document.
Biologicals invasions, the second cause of biodiversity loss worldwide, represent a major threat that our societies have to face. Invasive species correspond to species that, due to human activities, cross geographic and reproduction barriers and expand into new areas in large numbers. This spread into new ecosystems may have severe socio-economic or ecological impacts. The most efficient way to limit these impacts is to predict and avoid biological invasions before they occur by setting up appropriate management plans.The aim of this PhD thesis is to demonstrate that existing predictive models can be further developed and combined together to improve biological invasion predictions. All of the methods developed in this thesis have been applied to social Hymenoptera: ant species (Formicidae) and the Asian hornet (Vespa velutina nigrithorax), but they are generalizable to any other taxa. The questions asked are: can we predict future invader species? Can we improve the spatial predictions of their distribution? Can we predict invasive species impact?First, I show in this thesis that it is possible to develop a model that detects future invasive species, even before they have had the chance to be moved outside their native range. I apply this screening tool to more than 2000 ant species, provide a list of the 15 ant species that are highly likely to become invasive and map their global suitability to highlights the area the most at risk from these invasions. All continents are threatened by at least one of these potential invasions. Second, I set up a methodological framework to improve species distribution predictions by combining multi-scale drivers. I apply this method to the invasive Asian hornet, identify its high affinity habitats, and use this information to refine suitability maps. I show that integrating multiple drivers, while still respecting their scale of effect, produced a potential range 55.9% smaller than that predicted using a climatic model alone. Finally, I propose a method to predict invasive species impacts in a spatially explicit way and I apply it to the estimate the Asian hornet’s impact on honeybee colonies in France. To do so, I estimate the Asian hornet nest density across France and combine it with an agent-based hive model to estimate honeybee mortality risk. I show that up to 41% of the honeybee colonies are likely to collapse due to the Asian hornet.Overall, these studies demonstrate how modelling techniques can provide valuable inputs to improve invasive species management decision by offering tools to optimize prevention strategies and target areas, species or habitats where action is needed in priority. Biological invasions involve our scientific, political and cultural perceptions in an intricate way; this PhD thesis highlights the usefulness of bringing together modelling techniques and the rest of biological invasion knowledge to better grasp invasion science complexity
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.
Lo scopo principale della gestione delle malattie forestali è la riduzione dei danni economici, biologici ed estetici e delle perdite di biodiversità dovute alle malattie delle piante. Le molteplici strategie usate nella gestione delle malattie possono essere raggruppate in due azioni principali, la prevenzione (anche detta profilassi) e la terapia (trattamento o cura). La prevenzione è principalmente limitata dalla mancanza di conoscenza in merito all'organismo in oggetto e i suoi ospiti. I modelli matematici sono stati utilizzati per approfondire la conoscenza delle malattie delle piante con vari obiettivi. Essi offrono l'opportunità di affrontare un uso razionale delle risorse riguardo ai costosi monitoraggi e rappresentano un passo fondamentale verso misure di controllo più sostenibili. Da un punto di vista curativo, oggigiorno gli sforzi sono focalizzati allo sviluppo di concetti di gestione delle malattie che bilancino i benefici dei pesticidi con le preoccupazioni in merito ai residui che possono contaminare l'ambiente. In questa tesi, i due principi della gestione della malattia sono stati affrontati con due casi studio: il dissecamento del frassino, causata da Hymenoscyphus fraxineus, che può essere considerata la più grave malattia del genere Fraxinus in Europa, e il mal dell'inchiostro del castagno, causata da Phytophthora cambivora (Petri) Buism. and P. cinnamomi Rands. Nella prima parte della tesi sono state introdotte le due malattie, in modo da poterne appurare somiglianze e differenze (Capitolo I). Successivamente, dal capitolo II al capitolo V sono descritte le prove sperimentali effettuate. In particolare, nel capitolo II è stato approntato uno studio della nicchia ecologica di H. fraxineus, con la caratterizzazione di variabili ecologiche e ambientali associate a zone naturalmente infette. Tale procedura è stata effettuata tramite Species Distribution Models (SDM), ampiamente utilizzati in ambito ecologico e da poco tempo anche nell'ambito della patologia vegetale. La presenza del patogeno è risultata fortemente correlata a tre variabili ambientali estive, in particolare abbondanti precipitazioni, alta umidità del suolo e basse temperature, in comparazione con la media dell'area di studio. Successivamente la tecnica dell'ensemble forecasting è stata applicata per ottenere una predizione della distribuzione potenziale del patogeno a scala europea, considerando la distribuzione di F. excelsior e F. angustifolia, ospiti della malattia. Infine, un innovativo metodo di network analysis ha permesso di individuare le aree ecologicamente adatte al patogeno ma non raggiungibili con una diffusione naturale. Nel capitolo III viene descritto uno studio condotto per valutare sei diversi fungicidi contro H. fraxineus. Inizialmente è stata effettuata una prova in vitro dei prodotti commerciali contro cinque ceppi del patogeno. Tiabendazolo, propiconazolo e allicina sono risultati i fungicidi più efficaci, con dose letale mediana più bassa, rispetto, per esempio, al principio attivo procloraz. Al contrario, il solfato di rame e i fosfiti di potassio si sono rilevati completamente inefficaci. Successivamente, i tre migliori fungicidi sono stati applicati in planta tramite trattamenti endoterapici su frassini maggiori inoculati al tronco con un ceppo autoctono. Tale test è stato anticipato da prove preliminari per massimizzare l'efficienza delle iniezioni; nelle condizioni stazionali e climatiche delle prove, maggiori velocità sono state raggiunte con soluzione acquosa addizionata con 1.2 % di acido acetico, effettuando i trattamenti la mattina presto o nel pomeriggio tardo. Considerando i risultati della prova in planta, tiabendazolo e allicina hanno rallentato in maniera significativa la crescita delle necrosi, al contrario non si è riusciti a iniettare la soluzione a base di propiconazolo. I capitoli IV e V riprendono le metodologie applicate contro la patologia del dissecamento del frassino, applicandole al mal dell'inchiostro del castagno. In particolare nel capitolo IV, la teoria fuzzy è stata adottata nello studio del complesso del mal dell'inchiostro, includendo nella costruzione del modello variabili ambientali quali temperatura minima invernale, siccità estiva, esposizione, distanza da corsi d'acqua e permeabilità del suolo, che più possono influire sullo sviluppo della malattia. Il modello è stato validato con un'ampia ricerca sul campo condotta nei castagneti nell'area di Treviso. Inoltre, sono state prodotte delle mappe dell'incertezza (inerenti a struttura, input e parametri del modello) per la corretta interpretazione della previsione. Buona parte dell'area a castagneto nella zona di studio si è rivelata adatta allo sviluppo del mal dell'inchiostro, mentre solo il 18.8 %, corrispondente alle aree più elevate, presentava rischi inferiori. Un secondo studio (capitolo V) ha riguardato una prova comparativa di efficacia di quattro formulazioni di fosfiti di potassio tramite endoterapia. P. cinnamomi è stata isolata con la tecnica del baiting in un castagneto affetto da mal dell'inchiostro ed è stata inoculata su 50 castagni asintomatici. In seguito ai trattamenti endoterapici, l'unica soluzione che ha significativamente rallentato la crescita delle necrosi è stata quella a base di fosfiti di potassio (35 %) addizionata con 0.1 % di soluzione di micronutrienti. Un'ulteriore prova di endoterapia è stata condotta in via preliminare nel castagneto abbandonato in cui era stata isolata P. cinnamomi, al fine di valutare la stimolazione alla crescita del callo cicatriziale da parte della soluzione iniettata fosfiti di potassio 70 %. I risultati ottenuti in questo caso non hanno evidenziato una differenza significativa rispetto ai controlli trattati con acqua, probabilmente per una necessità di tempi più lunghi considerando piante di età maggiore. In base ai risultati raggiunti, la modellistica epidemiologica e i trattamenti endoterapici sperimentati in merito alle patologie del dissecamento del frassino e al mal dell'inchiostro del castagno possono rappresentare degli strumenti fondamentali nella gestione integrata delle malattie considerate, da applicare insieme ad appropriate tecniche colturali per massimizzarne i benefici.
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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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES
Coral reefs are of extreme importance to both nature and society, due to being responsible for several services and harbouring hundreds of species. Despite such critical importance, reef corals current suffered heavy losses since the Anthropocene, with 20% of world´s corals damaged beyond recovery due to human pressure and coastal development. This scenario is even worse, since corals are especially vulnerable to climate change and the entire ecosystem could go extinct by 2050. In this study we focus on comparing the already established impacts from human development and the yet happen losses from climate change on Brazilian corals, a unique fauna that still have gaps in knowledge. We created environmental suitability models for 24 species and quantified individual losses from both climate change and human activities. From the individual results we derived an overall pattern, in which we found out that future losses from climate alteration are equivalent to current losses from human activities. We then used the spatial distribution of those activities and key areas for conservation, determined with software Zonation, to select six areas in the Brazilian exclusive economic zone where proactive and reactive conservation strategies should be implanted, given its importance to biodiversity and concentrated anthropogenic impacts. Overall suitability losses were of approximately 30% for both sources and 60% of the areas will continue to be suitable in the future. Therefore, Brazilian corals will experience heavy losses from climate, especially the loss of highly suitable areas, which are compared to effects from human economic activities. Coral situation is likely to be even worse, if we were to consider bleaching, ocean acidification and diseases, events expected to increase with the rising temperature.
Ecological Niche Modelling (ENM) is widely used for conservation purposes, predicting species invasion, evolutionary aspects and a whole array of applications. However, for most cases, evaluating the efficiency of those models poses as problematic, as commonly used methods (i.e. random methods) do not assure the required independence between data used to create the model and data used to evaluate the model. We developed a new transferabilitybased framework that ensures the much-needed independence between subsets. We created an alternate approach that geographically splits occurrence datasets, while intrinsically controls issues related to previous transferability approaches, such as overfitting, extrapolation and sampling bias. We used 26 Atlantic coral species to perform three different geographical divisions quantifying the effect of different splits on model predictive efficiency. We demonstrate that transferability should be used as an effective method to evaluate ENMs. Geographical split of the area in deciles proved as a reliable evaluation method, assuring independence between datasets and being less prone to common transferability issues. Our odds-and-evens framework provides improvements to the ongoing debate of ENMs evaluating by its transferability. This new method corrects the issue of artificiality causing sampling bias and overfitting, common in previous methodologies, while also is less prone to extrapolation issues, a common problem in transferability approaches. Moreover, the framework appears as a feasible and useful alternative to the problematic and commonly used random partition of datasets evaluation.
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.
Robertson, Mark Peter. "Predictive modelling of species' potential geographical distributions". Thesis, Rhodes University, 2003. http://hdl.handle.net/10962/d1007189.
Marshall, Charlotte Emily. "Species distribution modelling to support marine conservation planning". Thesis, University of Plymouth, 2012. http://hdl.handle.net/10026.1/1176.
Dube, Qobo. "Species distribution modelling of Aloidendron dichotomum (quiver tree)". Master's thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/29625.
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/.
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.
Species Sensitivity Distribution (SSD) is a method used by scientists and regulators from all over the world to determine the safe concentration for various contaminants stressing the environment. Although ubiquitous, this approach suffers from numerous methodological flaws, notably because it is based on incomplete use of experimental data. This thesis revisits classical SSD, attempting to overcome this shortcoming. First, we present a methodology to include censored data in SSD with a web-tool to apply it easily. Second, we propose to model all the information present in the experimental data to describe the response of a community exposed to a contaminant. To this aim, we develop a hierarchical model within a Bayesian framework. On a dataset describing the effect of pesticides on diatom growth, we illustrate how this method, accounting for variability as well as uncertainty, provides benefits to risk assessment. Third, we extend this hierarchical approach to include the temporal dimension of the community response. The objective of that development is to remove the dependence of risk assessment on the date of the last experimental observation in order to build a precise description of its time evolution and to extrapolate to longer times. This approach is build on a toxico-dynamic model and illustrated on a dataset describing the salinity tolerance of freshwater species
Libri sul tema "Species distribution modelling (SDM)":
Ovaskainen, Otso. Joint Species Distribution Modelling. Cambridge University Press, 2020.
Ovaskainen, Otso, e Nerea Abrego. Joint Species Distribution Modelling: With Applications in R. Cambridge University Press, 2020.
Ovaskainen, Otso, e Nerea Abrego. Joint Species Distribution Modelling: With Applications in R. University of Cambridge ESOL Examinations, 2020.
Craig, A., Alison Darren, Abbot Catherine, R. C. Venette e Amy Christelle. Pest Risk Modelling and Mapping for Invasive Alien Species. CABI, 2015.
Tebaldi, Claudia, e Richard Smith. Indirect elicitation from ecological experts: From methods and software to habitat modelling and rock-wallabies. A cura di Anthony O'Hagan e Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.19.
Humphreys, John, e Sally Little, a cura di. Challenges in Estuarine and Coastal Science. Pelagic Publishing, 2022. http://dx.doi.org/10.53061/bdix4458.
Veech, Joseph A. Habitat Ecology and Analysis. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198829287.001.0001.
Bradstock, Ross A., A. Malcolm Gill e Richard J. Williams, a cura di. Flammable Australia. CSIRO Publishing, 2012. http://dx.doi.org/10.1071/9780643104839.
Capitoli di libri sul tema "Species distribution modelling (SDM)":
Barewar, Harish, Manish Kuntal Buragohain e 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, 59–86. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0131-9_4.
Gillman, E., e M. Gillman. "Modelling the distribution of butterfly species." In Modelling nature: an introduction to mathematical modelling of natural systems, 147–92. Wallingford: CABI, 2019. http://dx.doi.org/10.1079/9781786393104.0147.
Farashi, Azita, e Mohammad Alizadeh-Noughani. "Basic Introduction to Species Distribution Modelling". In Ecosystem and Species Habitat Modeling for Conservation and Restoration, 21–40. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0131-9_2.
Botella, Christophe, Alexis Joly, Pierre Bonnet, Pascal Monestiez e François Munoz. "A Deep Learning Approach to Species Distribution Modelling". In Multimedia Tools and Applications for Environmental & Biodiversity Informatics, 169–99. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76445-0_10.
Agbezuge, Eric Yaw, e P. Balakrishnan. "Application of Species Distribution Modelling in Agriculture: A Review". In Proceedings of Data Analytics and Management, 173–88. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6547-2_14.
Hershey, Rachel Riemann, Martin A. Ramirez e David A. Drake. "Using Geostatistical Techniques to Map The Distribution of Tree Species From Ground Inventory Data". In Modelling Longitudinal and Spatially Correlated Data, 187–98. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-0699-6_16.
Bioco, João, Paula Prata, Fernando Canovas e Paulo Fazendeiro. "On the Modelling of Species Distribution: Logistic Regression Versus Density Probability Function". In Lecture Notes in Networks and Systems, 378–91. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10464-0_25.
Hudson, Irene L., Susan W. Kim e Marie R. Keatley. "Modelling the Flowering of Four Eucalypt Species Using New Mixture Transition Distribution Models". In Phenological Research, 299–320. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-3335-2_14.
Osborne, Patrick E., e Philip J. Seddon. "Selecting Suitable Habitats for Reintroductions: Variation, Change and the Role of Species Distribution Modelling". In Reintroduction Biology, 73–104. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781444355833.ch3.
Bushi, Dhoni, Oyi Dai Nimasow e 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, 213–26. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0131-9_11.
Atti di convegni sul tema "Species distribution modelling (SDM)":
Zhang, Jian, e 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.
"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.
Real, Raimundo, e Alba Estrada. "A stepwise assessment of parsimony and entropy in species distribution modelling". In Entropy 2021: The Scientific Tool of the 21st Century. Basel, Switzerland: MDPI, 2021. http://dx.doi.org/10.3390/entropy2021-09790.
"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.
"Implementing best practices and a workflow for modelling the geospatial distribution of migratory species". 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.c3.santana.
"Experimenting with modelling via a virtual laboratory: Evaluating pseudo-absence strategies to refine a species distribution model". 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.g8.lowchoy.
El Alaoui, Omar, e Ali Idri. "Heterogeneous Ensemble Learning for Modelling Species Distribution: A Case Study of Redstarts Habitat Suitability". In 12th International Conference on Data Science, Technology and Applications. SCITEPRESS - Science and Technology Publications, 2023. http://dx.doi.org/10.5220/0012118100003541.
Miyaji, Renato O., e Pedro L. P. Corrêa. "Handling uncertainty through Bayesian inference for Species Distribution Modelling in the Amazon Basin region". In Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/eniac.2021.18243.
"The sensitivity of species distribution models to new data and the utility of putting uncertainty on the map". In 25th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, 2023. http://dx.doi.org/10.36334/modsim.2023.clemens.
Fukuda, Shinji. "Effects of data prevalence on species distribution modelling using a genetic takagi-sugeno fuzzy system". In 2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS). IEEE, 2013. http://dx.doi.org/10.1109/gefs.2013.6601051.
Rapporti di organizzazioni sul tema "Species distribution modelling (SDM)":
Weldon, James, e 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.
Aguilar, G., H. Waqa-Sakiti e 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, dicembre 2016. http://dx.doi.org/10.34074/book.008.
Aguilar, Glenn, Dan Blanchon, Hamish Foote, Christina Pollonais e Asia Mosee. Queensland Fruit Fly Invasion of New Zealand: Predicting Area Suitability Under Future Climate Change Scenarios. Unitec ePress, ottobre 2017. http://dx.doi.org/10.34074/pibs.rs22015.
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.