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

Author: Grafiati

Published: 15 June 2024

Last updated: 31 July 2025

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1

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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2

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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3

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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5

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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6

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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9

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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10

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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Abstract:

(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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11

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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12

Razak, Irham, Ahmad Zafir Wahab, DZULHELMI MUHAMMAD Nasir, and AMIRRUDIN Ahmad. "Predicting Habitat Suitability for Tarantula in Peninsular Malaysia by Using Species Distribution Modelling (SDM)." Tropical Natural History 24 (November 28, 2024): 182–92. https://doi.org/10.58837/tnh.24.1.260221.

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Theraphosidae, usually referred to as "Tarantula," is an infraorder of the Mygalomorh arachnid family of spiders. It is a large spider with downward-pointing fangs and a hairy body. As of now, few studies were done on Theraphosidaes in Peninsular Malaysia, but those were mainly concentrated on physical taxonomy with brief explanations of the spiders’ natural history. This study revealed the prediction of Theraphosidae habitat suitability in Peninsular Malaysia. Species Distribution Modelling (SDM) was used based on Theraphosidae points of occurrence in Peninsular Malaysia. Prediction for habit

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13

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. http://dx.doi.org/10.3897/natureconservation.35.33918.

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Abstract:

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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14

Bendjeddou, Mohammed Lamine, Idriss Bouam, Stéphane Aulagnier, et al. "First record of the lesser horseshoe bat, Rhinolophus hipposideros (Borkhausen, 1797), in Libya and potential distribution in North Africa." Mammalia 86, no. 4 (2022): 328–32. https://doi.org/10.5281/zenodo.13421158.

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(Uploaded by Plazi for the Bat Literature Project) The lesser horseshoe bat has a broad distribution in warm temperate regions of Europe and Western Asia, and a patchy distribution in Africa. Common in the north-western part of North Africa, the species is missing more to the east. Hereby we report the first record in Libya, considerably extending its known geographic range. Additionally, we performed a species distribution modelling (SDM) analysis to explore its potential distribution in North Africa. The final SDM depicted a relatively wellknown distribution and predicted that the suitable b

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Bendjeddou, Mohammed Lamine, Idriss Bouam, Stéphane Aulagnier, et al. "First record of the lesser horseshoe bat, Rhinolophus hipposideros (Borkhausen, 1797), in Libya and potential distribution in North Africa." Mammalia 86, no. 4 (2022): 328–32. https://doi.org/10.5281/zenodo.13421158.

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(Uploaded by Plazi for the Bat Literature Project) The lesser horseshoe bat has a broad distribution in warm temperate regions of Europe and Western Asia, and a patchy distribution in Africa. Common in the north-western part of North Africa, the species is missing more to the east. Hereby we report the first record in Libya, considerably extending its known geographic range. Additionally, we performed a species distribution modelling (SDM) analysis to explore its potential distribution in North Africa. The final SDM depicted a relatively wellknown distribution and predicted that the suitable b

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Bendjeddou, Mohammed Lamine, Idriss Bouam, Stéphane Aulagnier, et al. "First record of the lesser horseshoe bat, Rhinolophus hipposideros (Borkhausen, 1797), in Libya and potential distribution in North Africa." Mammalia 86, no. 4 (2022): 328–32. https://doi.org/10.5281/zenodo.13421158.

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(Uploaded by Plazi for the Bat Literature Project) The lesser horseshoe bat has a broad distribution in warm temperate regions of Europe and Western Asia, and a patchy distribution in Africa. Common in the north-western part of North Africa, the species is missing more to the east. Hereby we report the first record in Libya, considerably extending its known geographic range. Additionally, we performed a species distribution modelling (SDM) analysis to explore its potential distribution in North Africa. The final SDM depicted a relatively wellknown distribution and predicted that the suitable b

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17

Bendjeddou, Mohammed Lamine, Idriss Bouam, Stéphane Aulagnier, et al. "First record of the lesser horseshoe bat, Rhinolophus hipposideros (Borkhausen, 1797), in Libya and potential distribution in North Africa." Mammalia 86, no. 4 (2022): 328–32. https://doi.org/10.5281/zenodo.13421158.

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(Uploaded by Plazi for the Bat Literature Project) The lesser horseshoe bat has a broad distribution in warm temperate regions of Europe and Western Asia, and a patchy distribution in Africa. Common in the north-western part of North Africa, the species is missing more to the east. Hereby we report the first record in Libya, considerably extending its known geographic range. Additionally, we performed a species distribution modelling (SDM) analysis to explore its potential distribution in North Africa. The final SDM depicted a relatively wellknown distribution and predicted that the suitable b

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18

Bendjeddou, Mohammed Lamine, Idriss Bouam, Stéphane Aulagnier, et al. "First record of the lesser horseshoe bat, Rhinolophus hipposideros (Borkhausen, 1797), in Libya and potential distribution in North Africa." Mammalia 86, no. 4 (2022): 328–32. https://doi.org/10.5281/zenodo.13421158.

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(Uploaded by Plazi for the Bat Literature Project) The lesser horseshoe bat has a broad distribution in warm temperate regions of Europe and Western Asia, and a patchy distribution in Africa. Common in the north-western part of North Africa, the species is missing more to the east. Hereby we report the first record in Libya, considerably extending its known geographic range. Additionally, we performed a species distribution modelling (SDM) analysis to explore its potential distribution in North Africa. The final SDM depicted a relatively wellknown distribution and predicted that the suitable b

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19

Bendjeddou, Mohammed Lamine, Idriss Bouam, Stéphane Aulagnier, et al. "First record of the lesser horseshoe bat, Rhinolophus hipposideros (Borkhausen, 1797), in Libya and potential distribution in North Africa." Mammalia 86, no. 4 (2022): 328–32. https://doi.org/10.5281/zenodo.13421158.

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(Uploaded by Plazi for the Bat Literature Project) The lesser horseshoe bat has a broad distribution in warm temperate regions of Europe and Western Asia, and a patchy distribution in Africa. Common in the north-western part of North Africa, the species is missing more to the east. Hereby we report the first record in Libya, considerably extending its known geographic range. Additionally, we performed a species distribution modelling (SDM) analysis to explore its potential distribution in North Africa. The final SDM depicted a relatively wellknown distribution and predicted that the suitable b

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20

Naimi, Babak, and Miguel B. Araújo. "sdm: a reproducible and extensible R platform for species distribution modelling." Ecography 39, no. 4 (2016): 368–75. http://dx.doi.org/10.1111/ecog.01881.

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21

Felicísimo, Ángel M., Ignacio Armendáriz, and Virginia Alberdi Nieves. "Modelling the potential effects of climate change in the distribution of Xylotrechus arvicola in Spain." Horticultural Science 48, No. 1 (2021): 38–46. http://dx.doi.org/10.17221/85/2019-hortsci.

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Xylotrechus arvicola is an emerging grape pest that generates serious sanitary problems in vineyards and is currently expanding its range throughout Spain. The increasing prevalence of this pest in Spanish vineyards has been detected since 1990. In this study, the relationship between the climate and the actual distribution of the beetle was analysed, as well as how this distribution might change in the future according to several climate change models. The methodology was based on predictive models (SDM; species distribution modelling) using climate variables as explanatory factors, although

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Ben Lamine, Emna, Konstantina Agiadi, Maria Bas López, Grégory Beaugrand, Tatiana Theodoropoulou, and Virginie Raybaud. "Paleo-species distribution modelling in the marine realm: protocol for a global scoping review." Open Research Europe 4 (August 28, 2024): 188. http://dx.doi.org/10.12688/openreseurope.18381.1.

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Background Studying the spatial distribution of marine species and its alterations through time is fundamental for understanding how they respond to environmental changes, as well as the changes of marine biodiversity, its geographic patterns, and how to best preserve it. Species distribution models (SDM) and Ecological Niche Models (ENM) are statistical tools widely used to investigate distribution range shifts under future and past climate change. The present work provides a protocol for conducting a scoping review (ScR) to assess the contribution of SDM and ENM to the study of past environm

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De Marco, Paulo, José Alexandre Felizola Diniz-Filho, and Luis Mauricio Bini. "Spatial analysis improves species distribution modelling during range expansion." Biology Letters 4, no. 5 (2008): 577–80. http://dx.doi.org/10.1098/rsbl.2008.0210.

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Species distribution models (SDMs) assume equilibrium between species' distribution and the environment. However, this assumption can be violated under restricted dispersal and spatially autocorrelated environmental conditions. Here we used a model to simulate species' ranges expansion under two non-equilibrium scenarios, evaluating the performance of SDM coupled with spatial eigenvector mapping. The highest fit is for the models that include space, although the relative importance of spatial variables during the range expansion differs in the two scenarios. Incorporating space to the models w

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Untalan, M. Z. G., D. F. M. Burgos, and 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 (December 23, 2019): 449–54. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w19-449-2019.

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Abstract. Maxent is a machine learning model used for species distribution modelling (SDM) that is rising in popularity. As with any species distribution model, it needs to be validated for certain species before being used to generate insights and trusted predictions. Using Maxent, SDM of two endemic species in the Philippines, Varanus palawanensis (Palawan monitor lizard) and Caprimulgus manillensis (Philippine nightjar), were created using presence-only data, with 14 V. palawanensis and 771 C. manillensis occurrences, and 19 bioclimatic variables from BIOCLIM. This study shows the consisten

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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, no. 1 (2024): 123–37. http://dx.doi.org/10.33002/nr2581.6853.070107.

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Climate change is already affecting biodiversity, with special concern to endemics whose range is restricted and limited. This study focuses on the Mindanao horned frog (Pelobatrachus stejnegeri), an endemic species to the Philippines, susceptible to climate-induced habitat changes. Using MaxEnt species distribution model (SDM), the current and future (year 2050 projections) habitat suitability and distribution of P. stejnegeri were modelled. Results showed that annual mean temperature, elevation, and annual precipitation were the environmental variables having the highest influence on P. stej

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Dollinger, Johannes, Philipp Brun, Vivien Sainte Fare Garnot, and Jan Dirk Wegner. "Sat-SINR: High-Resolution Species Distribution Models Through Satellite Imagery." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-2-2024 (June 10, 2024): 41–48. http://dx.doi.org/10.5194/isprs-annals-x-2-2024-41-2024.

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Abstract. We propose a deep learning approach for high-resolution species distribution modelling (SDM) at large scale combining point-wise, crowd-sourced species observation data and environmental data with Sentinel-2 satellite imagery. What makes this task challenging is the great variety of controlling factors for species distribution, such as habitat conditions, human intervention, competition, disturbances, and evolutionary history. Experts either incorporate these factors into complex mechanistic models based on presence-absence data collected in field campaigns or train machine learning

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Pando, Francisco, Ignacio Heredia, and Lara Lloret. "Using Unsupervised Artificial Neural Networks to Detect Sibling Species: A case in Myxomycetes." Biodiversity Information Science and Standards 3 (June 19, 2019): e37255. https://doi.org/10.3897/biss.3.37255.

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Species distribution modelling (SDM) --i.e. the prediction of species potential geographic distributions based on correlations between known presence records and the environmental conditions at occurrence localities-- is one of the most freqently cited developments in recent years in the realm of biodiversity studies (Web of Science 2019). The reasons for the explosion in SDM studies reside in: a) the pressure to know species distributions (under both present and future climate change scenarios) with precision to satisfy scientific as well as societal objectives; b) the impossibility of knowin

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Støa, Bente, Rune Halvorsen, Jogeir N. Stokland, and Vladimir I. Gusarov. "How much is enough? Influence of number of presence observations on the performance of species distribution models." Sommerfeltia 39, no. 1 (2019): 1–28. http://dx.doi.org/10.2478/som-2019-0001.

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Abstract Species distribution modeling (SDM) can be useful for many applied purposes, e.g., mapping and monitoring of rare and endangered species. Sparse presence data are a recurrent, major obstacle to precise modeling of species distributions. Thus, knowing the minimum number of presences required to obtain reliable distribution models is of fundamental importance for applied use of SDM. This study uses a novel approach to assess the critical sample size (CSS) sufficient for an accurate prediction of species distributions with Maximum Entropy Modeling (MaxEnt). Large presence datasets for th

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FREITAS, GUILHERME H. S., LÍLIAN M. COSTA, ANDERSON V. CHAVES, et al. "Geographic range and conservation of the Cipo Canastero Asthenes luizae, an endemic furnariid of Brazilian sky islands." Bird Conservation International 30, no. 3 (2019): 365–80. http://dx.doi.org/10.1017/s0959270919000418.

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SummaryCipo Canastero Asthenes luizae is a relict ovenbird restricted to rocky outcrops at high elevations within the campo rupestre vegetation of the Espinhaço Range in the state of Minas Gerais, south-eastern Brazil. This poorly known species is considered ‘Near Threatened’, but recent studies have suggested that it should be listed under a higher category of threat. To contribute to the knowledge of this species and its conservation assessment and related planning, we compiled all literature records of the species distribution (n = 16 locations), collected new data on its occurrence (n = 72

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Özkan Tümer, Y., I. Caglayan, and A. YeşiÌ‡l. "Taxonomic classification of tree species distribution models: a review and assessment." International Forestry Review 27, no. 1 (2025): 72–93. https://doi.org/10.1505/146554825839764913.

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Species Distribution Models (SDMs) are powerful tools for identifying key environmental factors that shape species ranges and predicting how those ranges may shift under changing climate conditions. Despite their broad utility, current Species Distribution Model (SDM) research on tree species often lacks a consistent framework for comparing methods and results, making it difficult to synthesize findings and inform best practices. To address this gap, we propose a new, six-category taxonomy (scale, location, tree species, data, data processing and modeling, and model calibration and evaluation)

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Preuss, Sonja, Anna Lundhagen, and Åsa Berggren. "Modelling the distribution of the invasive Roesel's bush-cricket (Metrioptera roeselii) in a fragmented landscape." NeoBiota 11 (November 30, 2011): 33–49. https://doi.org/10.3897/neobiota.11.2060.

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The development of conservation strategies to mitigate the impact of invasive species requires knowledge of the species ecology and distribution. This is, however, often lacking as collecting biological data may be both time-consuming and resource intensive. Species distribution models can offer a solution to this dilemma by analysing the species-environment relationship with help of Geographic information systems (GIS). In this study, we model the distribution of the non-native bush-cricket <i>Metrioptera roeselii </i>in the agricultural landscape in mid-Sweden<i> </i>where the species has be

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Sarkinen, Tiina, Paúl Gonzáles, and Sandra Knapp. "Distribution models and species discovery: the story of a new Solanum species from the Peruvian Andes." PhytoKeys 31 (December 16, 2013): 1–20. https://doi.org/10.3897/phytokeys.31.6312.

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A new species of <i>Solanum</i> sect. <i>Solanum</i> from Peru is described here. <i>Solanum pseudoamericanum</i> Särkinen, Gonzáles & S.Knapp sp. nov. is a member of the Morelloid clade of <i>Solanum</i>, and is characterized by the combination of mostly forked inflorescences, flowers with small stamens 2.5 mm long including the filament, and strongly exerted styles with capitate stigmas. The species was first thought to be restricted to the seasonally dry tropical forests of southern Peru along the dry valleys of Río Pampas and Río Apurímac. Results from species distribution modelling (S

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LAHSSINI, Said, Said HAJIB, Hicham Lahlaoi, Hicham MHARZI ALAOUI, and Abdellatif Khattabi. "Modelling Spatial Distribution of the Carob Tree (Ceratonia siliqua L.) in Azilal Province, Morocco." Journal of Geography and Geology 7, no. 4 (2015): 33. http://dx.doi.org/10.5539/jgg.v7n4p33.

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Factors determining forest species distribution include, in addition to external factors such as human interference and environmental management strategies, also soil and hydrological characteristics and climate conditions in any given areas. Modelling<strong> </strong>distribution has practical application in forest conservation and management, and help decision makers to develop strategies aimed at forest restoration, development of mountainous areas and the continuous and sustainable provision of forest-related services. Species distribution modelling (SDM) can be used for predi

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Bogoni, Juliano A., and Mario Muniz Tagliari. "Potential distribution of piscivores across the Atlantic Forest: From bats and marsupials to large-bodied mammals under a trophic-guild viewpoint." Ecological Informatics 64 (June 12, 2021): 101357. https://doi.org/10.5281/zenodo.13467816.

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(Uploaded by Plazi for the Bat Literature Project) Biodiversity across the Neotropics is a result of selective forces along a myriad of ecosystems. The Brazilian Atlantic Forest biome embodies 321 mammal species; only a small parcel of the species is considered piscivore. The Atlantic Forest biota is threatened by multiple factors, from habitat loss to climate changes. We aimed to understand the current distribution of the six extant piscivore mammals and the distribution of this trophic guild, predicting their distribution under climate change across the Atlantic Forest and identifying areas

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Bogoni, Juliano A., and Mario Muniz Tagliari. "Potential distribution of piscivores across the Atlantic Forest: From bats and marsupials to large-bodied mammals under a trophic-guild viewpoint." Ecological Informatics 64 (June 7, 2021): 101357. https://doi.org/10.5281/zenodo.13467816.

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(Uploaded by Plazi for the Bat Literature Project) Biodiversity across the Neotropics is a result of selective forces along a myriad of ecosystems. The Brazilian Atlantic Forest biome embodies 321 mammal species; only a small parcel of the species is considered piscivore. The Atlantic Forest biota is threatened by multiple factors, from habitat loss to climate changes. We aimed to understand the current distribution of the six extant piscivore mammals and the distribution of this trophic guild, predicting their distribution under climate change across the Atlantic Forest and identifying areas

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Bogoni, Juliano A., and Mario Muniz Tagliari. "Potential distribution of piscivores across the Atlantic Forest: From bats and marsupials to large-bodied mammals under a trophic-guild viewpoint." Ecological Informatics 64 (July 3, 2021): 101357. https://doi.org/10.5281/zenodo.13467816.

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Abstract:

(Uploaded by Plazi for the Bat Literature Project) Biodiversity across the Neotropics is a result of selective forces along a myriad of ecosystems. The Brazilian Atlantic Forest biome embodies 321 mammal species; only a small parcel of the species is considered piscivore. The Atlantic Forest biota is threatened by multiple factors, from habitat loss to climate changes. We aimed to understand the current distribution of the six extant piscivore mammals and the distribution of this trophic guild, predicting their distribution under climate change across the Atlantic Forest and identifying areas

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Bogoni, Juliano A., and Mario Muniz Tagliari. "Potential distribution of piscivores across the Atlantic Forest: From bats and marsupials to large-bodied mammals under a trophic-guild viewpoint." Ecological Informatics 64 (July 10, 2021): 101357. https://doi.org/10.5281/zenodo.13467816.

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Abstract:

(Uploaded by Plazi for the Bat Literature Project) Biodiversity across the Neotropics is a result of selective forces along a myriad of ecosystems. The Brazilian Atlantic Forest biome embodies 321 mammal species; only a small parcel of the species is considered piscivore. The Atlantic Forest biota is threatened by multiple factors, from habitat loss to climate changes. We aimed to understand the current distribution of the six extant piscivore mammals and the distribution of this trophic guild, predicting their distribution under climate change across the Atlantic Forest and identifying areas

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38

Bogoni, Juliano A., and Mario Muniz Tagliari. "Potential distribution of piscivores across the Atlantic Forest: From bats and marsupials to large-bodied mammals under a trophic-guild viewpoint." Ecological Informatics 64 (July 17, 2021): 101357. https://doi.org/10.5281/zenodo.13467816.

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Abstract:

(Uploaded by Plazi for the Bat Literature Project) Biodiversity across the Neotropics is a result of selective forces along a myriad of ecosystems. The Brazilian Atlantic Forest biome embodies 321 mammal species; only a small parcel of the species is considered piscivore. The Atlantic Forest biota is threatened by multiple factors, from habitat loss to climate changes. We aimed to understand the current distribution of the six extant piscivore mammals and the distribution of this trophic guild, predicting their distribution under climate change across the Atlantic Forest and identifying areas

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39

Devika, M., and K. Amitha Bachan. "Ecoregion level niche specific habitat prediction of threatened Syzygium caryophyllatum (Myrtaceae) for reintroduction and ecorestoration." Indian Journal of Forestry 46, no. 2 (2023): 78–86. http://dx.doi.org/10.54207/bsmps1000-2023-663hox.

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Syzygium caryophyllatum (L.) Alston is a medium-sized threatened tree that mainly occupies the low-elevation evergreen patches of the Western Ghats (India) - Sri Lanka biodiversity hotspot. The present study predicts the potential habitats of Syzygium caryophyllatum at the ecoregion level for prioritising its conservation and restoration area. The bioclimatic species distribution modelling (SDM) using 19 bioclimatic parameters of World Clim used here to elucidate fundamental niche of the species. The standardised vegetation and landuse layer used in this model for the prediction of potential n

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Bladon, Andrew J., Paul F. Donald, Nigel J. Collar, et al. "Climatic change and extinction risk of two globally threatened Ethiopian endemic bird species." PLOS ONE 16, no. 5 (2021): e0249633. http://dx.doi.org/10.1371/journal.pone.0249633.

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Climate change is having profound effects on the distributions of species globally. Trait-based assessments predict that specialist and range-restricted species are among those most likely to be at risk of extinction from such changes. Understanding individual species’ responses to climate change is therefore critical for informing conservation planning. We use an established Species Distribution Modelling (SDM) protocol to describe the curious range-restriction of the globally threatened White-tailed Swallow (Hirundo megaensis) to a small area in southern Ethiopia. We find that, across a rang

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Effrosynidis, Dimitrios, Athanassios Tsikliras, Avi Arampatzis, and Georgios Sylaios. "Species Distribution Modelling via Feature Engineering and Machine Learning for Pelagic Fishes in the Mediterranean Sea." Applied Sciences 10, no. 24 (2020): 8900. http://dx.doi.org/10.3390/app10248900.

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In this work a fish species distribution model (SDM) was developed, by merging species occurrence data with environmental layers, with the scope to produce high resolution habitability maps for the whole Mediterranean Sea. The final model is capable to predict the probability of occurrence of each fish species at any location in the Mediterranean Sea. Eight pelagic, commercial fish species were selected for this study namely Engraulis encrasicolus, Sardina pilchardus, Sardinella aurita, Scomber colias, Scomber scombrus, Spicara smaris, Thunnus thynnus and Xiphias gladius. The SDM environmental

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Fyllas, Nikolaos M., Theano Koufaki, Christodoulos I. Sazeides, Gavriil Spyroglou, and Konstantinos Theodorou. "Potential Impacts of Climate Change on the Habitat Suitability of the Dominant Tree Species in Greece." Plants 11, no. 12 (2022): 1616. http://dx.doi.org/10.3390/plants11121616.

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Climate change is affecting species distribution and ecosystem form and function. Forests provide a range of ecosystem services, and understanding their vulnerability to climate change is important for designing effective adaptation strategies. Species Distribution Modelling (SDM) has been extensively used to derive habitat suitability maps under current conditions and project species distribution shifts under climate change. In this study, we model the current and future habitat suitability of the dominant tree species in Greece (Abies cephalonica, Abies borisii-regis, Pinus brutia, Pinus hal

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Adamova, Valeria V., Mikhail A. Orlov, and Alexander V. Sheludkov. "Land snails <i>Brephulopsis cylindrica </i>and <i>Xeropicta derbentina </i>(Gastropoda: Stylommatophora): case study of invasive species distribution modelling." Ruthenica, Russian Malacological Journal 32, no. 3 (2022): 121–36. http://dx.doi.org/10.35885/ruthenica.2022.32(3).5.

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The terrestrial snails Brephulopsis cylindrica and Xeropicta derbentina are native to steppes of the Northern Black Sea region; X. derbentina has also initially inhabited Eastern Mediterranean, the Caucasus, and Anatolia. However, in last decades the species are increasingly reported outside of their natural range which renders them as likely invasive. The paper aims to assess the ecological suitability of adjacent habitats in terms of the molluscs invasion. We address this using species distribution modelling (SDM). The selected environment predictors for SDM included 22 environment factors s

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Jones, Miranda C., and William W. L. Cheung. "Multi-model ensemble projections of climate change effects on global marine biodiversity." ICES Journal of Marine Science 72, no. 3 (2014): 741–52. http://dx.doi.org/10.1093/icesjms/fsu172.

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Abstract Species distribution models (SDMs) are important tools to explore the effects of future global changes in biodiversity. Previous studies show that variability is introduced into projected distributions through alternative datasets and modelling procedures. However, a multi-model approach to assess biogeographic shifts at the global scale is still rarely applied, particularly in the marine environment. Here, we apply three commonly used SDMs (AquaMaps, Maxent, and the Dynamic Bioclimate Envelope Model) to assess the global patterns of change in species richness, invasion, and extinctio

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Datta, Arunava, Oliver Schweiger, and Ingolf Kühn. "Origin of climatic data can determine the transferability of species distribution models." NeoBiota 59 (July 28, 2020): 61–76. https://doi.org/10.3897/neobiota.59.36299.

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Methodological research on species distribution modelling (SDM) has so far largely focused on the choice of appropriate modelling algorithms and variable selection approaches, but the consequences of choosing amongst different sources of environmental data has scarcely been investigated. Bioclimatic variables are commonly used as predictors in SDMs. Currently, several online databases offer the same sets of bioclimatic variables, but they differ in underlying source of raw data and method of data processing (extrapolation and downscaling). In this paper, we asked whether predictive performance

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Hintze, Frederico, Ricardo B. Machado, and Enrico Bernard. "Bioacoustics for in situ validation of species distribution modelling: An example with bats in Brazil." PLOS ONE 16, no. 10 (2021): e0248797. http://dx.doi.org/10.1371/journal.pone.0248797.

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Species distribution modelling (SDM) gained importance on biodiversity distribution and conservation studies worldwide, including prioritizing areas for public policies and international treaties. Useful for large-scale approaches and species distribution estimates, it is a plus considering that a minor fraction of the planet is adequately sampled. However, minimizing errors is challenging, but essential, considering the uses and consequences of such models. In situ validation of the SDM outputs should be a key-step—in some cases, urgent. Bioacoustics can be used to validate and refine those o

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Hintze, Frederico, Ricardo B. Machado, Enrico Bernard, and Daniel De Paiva Silva. "Bioacoustics for in situ validation of species distribution modelling: An example with bats in Brazil." PLOS ONE 16, no. 10 (2021): e0248797. https://doi.org/10.5281/zenodo.13447691.

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Abstract:

(Uploaded by Plazi for the Bat Literature Project) Species distribution modelling (SDM) gained importance on biodiversity distribution and conservation studies worldwide, including prioritizing areas for public policies and international treaties. Useful for large-scale approaches and species distribution estimates, it is a plus considering that a minor fraction of the planet is adequately sampled. However, minimizing errors is challenging, but essential, considering the uses and consequences of such models. In situ validation of the SDM outputs should be a key-step—in some cases, urgent. Bioa

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48

Hintze, Frederico, Ricardo B. Machado, Enrico Bernard, and Daniel De Paiva Silva. "Bioacoustics for in situ validation of species distribution modelling: An example with bats in Brazil." PLOS ONE 16, no. 10 (2021): e0248797. https://doi.org/10.5281/zenodo.13447691.

Full text

Abstract:

(Uploaded by Plazi for the Bat Literature Project) Species distribution modelling (SDM) gained importance on biodiversity distribution and conservation studies worldwide, including prioritizing areas for public policies and international treaties. Useful for large-scale approaches and species distribution estimates, it is a plus considering that a minor fraction of the planet is adequately sampled. However, minimizing errors is challenging, but essential, considering the uses and consequences of such models. In situ validation of the SDM outputs should be a key-step—in some cases, urgent. Bioa

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49

Hintze, Frederico, Ricardo B. Machado, Enrico Bernard, and Daniel De Paiva Silva. "Bioacoustics for in situ validation of species distribution modelling: An example with bats in Brazil." PLOS ONE 16, no. 10 (2021): e0248797. https://doi.org/10.5281/zenodo.13447691.

Full text

Abstract:

(Uploaded by Plazi for the Bat Literature Project) Species distribution modelling (SDM) gained importance on biodiversity distribution and conservation studies worldwide, including prioritizing areas for public policies and international treaties. Useful for large-scale approaches and species distribution estimates, it is a plus considering that a minor fraction of the planet is adequately sampled. However, minimizing errors is challenging, but essential, considering the uses and consequences of such models. In situ validation of the SDM outputs should be a key-step—in some cases, urgent. Bioa

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50

Hintze, Frederico, Ricardo B. Machado, Enrico Bernard, and Daniel De Paiva Silva. "Bioacoustics for in situ validation of species distribution modelling: An example with bats in Brazil." PLOS ONE 16, no. 10 (2021): e0248797. https://doi.org/10.5281/zenodo.13447691.

Full text

Abstract:

(Uploaded by Plazi for the Bat Literature Project) Species distribution modelling (SDM) gained importance on biodiversity distribution and conservation studies worldwide, including prioritizing areas for public policies and international treaties. Useful for large-scale approaches and species distribution estimates, it is a plus considering that a minor fraction of the planet is adequately sampled. However, minimizing errors is challenging, but essential, considering the uses and consequences of such models. In situ validation of the SDM outputs should be a key-step—in some cases, urgent. Bioa

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