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Journal articles on the topic 'Habitat suitability model'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Setiawan, Taufik, Lilik Budi Prasetyo, Yeni A. Mulyani, and Jarulis. "The Habitat Suitability Modelling of Rhinoceros Hornbills (Buceros rhinoceros) in Java Island, Indonesia." Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) 14, no. 2 (2024): 253. http://dx.doi.org/10.29244/jpsl.14.2.253.

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Rhinoceros hornbills (Buceros rhinoceros) are a bird species belonging to the Bucerotidae family, which is vulnerable based on the IUCN red list of species. This is due to habitat fragmentation, which reduced the Rhinoceros hornbill habitat on Java. Efforts and strategies are needed to maintain Rhinoceros hornbill habitats. Information on the suitability of the Rhinoceros hornbill habitat on Java Island is required to develop a Rhinoceros hornbill conservation strategy. This study aimed to determine a habitat suitability model that produces the highest accuracy, analyze hornbill habitat suitab

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Rew, Jehyeok, Yongjang Cho, Jihoon Moon, and Eenjun Hwang. "Habitat Suitability Estimation Using a Two-Stage Ensemble Approach." Remote Sensing 12, no. 9 (2020): 1475. http://dx.doi.org/10.3390/rs12091475.

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Biodiversity conservation is important for the protection of ecosystems. One key task for sustainable biodiversity conservation is to effectively preserve species’ habitats. However, for various reasons, many of these habitats have been reduced or destroyed in recent decades. To deal with this problem, it is necessary to effectively identify potential habitats based on habitat suitability analysis and preserve them. Various techniques for habitat suitability estimation have been proposed to date, but they have had limited success due to limitations in the data and models used. In this paper, w

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Wang, Yue, Jihong Xia, Wangwei Cai, et al. "Response of Fish Habitat Quality to Weir Distribution Change in Mountainous River Based on the Two-Dimensional Habitat Suitability Model." Sustainability 15, no. 11 (2023): 8698. http://dx.doi.org/10.3390/su15118698.

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Weirs are often constructed on mountainous rivers because of their low construction costs and their ability to provide irrigation and facilitate landscaping, yet there is little research on how fish habitat quality in mountainous rivers responds to weir distribution. This study categorized the distribution characteristics of weirs on typical reaches according to their sinuosity and calculated the corresponding habitat suitability index (HSI) and weighted usable area (WUA) under various discharge conditions using a coupled MIKE21 and habitat suitability model. Then, the relationship between the

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Wei, Junqing, Yasi Tian, Chun Li, Yan Zhang, Hongzhou Yuan, and Yanfang Liu. "Identifying Priority Bird Habitats Through Seasonal Dynamics: An Integrated Habitat Suitability–Risk–Quality Framework." Sustainability 17, no. 13 (2025): 6078. https://doi.org/10.3390/su17136078.

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A key challenge is how to effectively conserve habitats and biodiversity amid widespread habitat fragmentation and loss caused by global urbanization. Despite growing attention to this issue, knowledge of the seasonal dynamics of habitats remains limited, and conservation gaps are still inadequately identified. This study proposes a novel integrated framework, “Habitat Suitability–Risk–Quality”, to improve the assessment of the seasonal bird habitat quality and to identify priority conservation habitats in urban landscapes. The framework was implemented in Wuhan, China, a critical stopover sit

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Hightower, Joseph E., Julianne E. Harris, Joshua K. Raabe, Prescott Brownell, and C. Ashton Drew. "A Bayesian Spawning Habitat Suitability Model for American Shad in Southeastern United States Rivers." Journal of Fish and Wildlife Management 3, no. 2 (2012): 184–98. http://dx.doi.org/10.3996/082011-jfwm-047.

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Abstract Habitat suitability index models for American shad Alosa sapidissima were developed by Stier and Crance in 1985. These models, which were based on a combination of published information and expert opinion, are often used to make decisions about hydropower dam operations and fish passage. The purpose of this study was to develop updated habitat suitability index models for spawning American shad in the southeastern United States, building on the many field and laboratory studies completed since 1985. We surveyed biologists who had knowledge about American shad spawning grounds, assembl

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Rumble, Mark A., and Stanley H. Anderson. "A TEST OF THE HABITAT SUITABILITY MODEL FOR MERRIAM'S WILD TURKEYS." Wildlife Society Bulletin 1995, S1 (1995): 165–73. https://doi.org/10.1002/j.2328-5540.1995.tb00227.x.

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Abstract:An important research area regarding the wild turkey (Meleagris gallopavo) is development of sound habitat models. Habitat models provide standardized methods to quantify wild turkey habitat and stimulate new research hypotheses. Habitat suitability index (HSI) models show species‐habitat relationships on a scale of 0‐1, with 1 being optimum. A proposed HSI model for Merriam's turkeys (M. g. merriami) was applied to data we collected at Merriam's turkey locations and random sites in the Black Hills, South Dakota. We tested this model, assuming that if all available habitats were suita

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Gaulke, Sarah M., Ashleigh B. Cable, Tara C. Hohoff, Brittany A. Rogness, and Mark A. Davis. "One model to rule them all: identifying priority bat habitats from multi‐species habitat suitability models." Journal of Wildlife Management 87, no. 2 (2023): e22351. https://doi.org/10.5281/zenodo.13489675.

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(Uploaded by Plazi for the Bat Literature Project) Abstract Bats are important components of global ecosystems, providing essential ecosystem services with substantial economic benefit. Yet North American bat populations have been negatively affected by numerous factors (e.g., disease, habitat loss, wind energy development) with compounding effects. Bats use habitats at a variety of scales, from small, isolated patches to large, contiguous corridors. Landscape‐level research is necessary to identify important habitats, patches, and corridors to strategically target management interventions. We

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Gaulke, Sarah M., Ashleigh B. Cable, Tara C. Hohoff, Brittany A. Rogness, and Mark A. Davis. "One model to rule them all: identifying priority bat habitats from multi‐species habitat suitability models." Journal of Wildlife Management 87, no. 2 (2023): e22351. https://doi.org/10.5281/zenodo.13489675.

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(Uploaded by Plazi for the Bat Literature Project) Abstract Bats are important components of global ecosystems, providing essential ecosystem services with substantial economic benefit. Yet North American bat populations have been negatively affected by numerous factors (e.g., disease, habitat loss, wind energy development) with compounding effects. Bats use habitats at a variety of scales, from small, isolated patches to large, contiguous corridors. Landscape‐level research is necessary to identify important habitats, patches, and corridors to strategically target management interventions. We

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9

Gaulke, Sarah M., Ashleigh B. Cable, Tara C. Hohoff, Brittany A. Rogness, and Mark A. Davis. "One model to rule them all: identifying priority bat habitats from multi‐species habitat suitability models." Journal of Wildlife Management 87, no. 2 (2023): e22351. https://doi.org/10.5281/zenodo.13489675.

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(Uploaded by Plazi for the Bat Literature Project) Abstract Bats are important components of global ecosystems, providing essential ecosystem services with substantial economic benefit. Yet North American bat populations have been negatively affected by numerous factors (e.g., disease, habitat loss, wind energy development) with compounding effects. Bats use habitats at a variety of scales, from small, isolated patches to large, contiguous corridors. Landscape‐level research is necessary to identify important habitats, patches, and corridors to strategically target management interventions. We

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10

Gaulke, Sarah M., Ashleigh B. Cable, Tara C. Hohoff, Brittany A. Rogness, and Mark A. Davis. "One model to rule them all: identifying priority bat habitats from multi‐species habitat suitability models." Journal of Wildlife Management 87, no. 2 (2023): e22351. https://doi.org/10.5281/zenodo.13489675.

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Abstract:

(Uploaded by Plazi for the Bat Literature Project) Abstract Bats are important components of global ecosystems, providing essential ecosystem services with substantial economic benefit. Yet North American bat populations have been negatively affected by numerous factors (e.g., disease, habitat loss, wind energy development) with compounding effects. Bats use habitats at a variety of scales, from small, isolated patches to large, contiguous corridors. Landscape‐level research is necessary to identify important habitats, patches, and corridors to strategically target management interventions. We

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11

Xiao, Mingzuo, Yuyan Wang, and Wenhui Ma. "GIS-Based Analysis of Wildlife Habitat Suitability and Conservation Strategies in Maasai Mara Reserve." Highlights in Science, Engineering and Technology 67 (September 21, 2023): 154–61. http://dx.doi.org/10.54097/hset.v67i.11631.

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The significance of conducting an animal habitats suitability analysis is to enhance sustainable management in the face of land use modification, population growth, and changing settlement patterns, thereby safeguarding Kenya's natural resources, tourism, biodiversity, resource utilization, and community livelihoods. This paper establishes a habitat suitability analysis of specific animal habitats based on GIS technology. Firstly, key indicators were identified and subjected to the single factor analysis. Secondly, the AHP model was employed to calculate the weights of the indicators. A compre

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

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The objectives of this study were to predict the potential distribution, relative abundance and probability of habitat use by feral camels in southern Northern Territory. Aerial survey data were used to model habitat association. The characteristics of ‘used’ (where camels were observed) v. ‘unused’ (pseudo-absence) sites were compared. Habitat association and abundance were modelled using generalised additive model (GAM) methods. The models predicted habitat suitability and the relative abundance of camels in southern Northern Territory. The habitat suitability maps derived in the present stu

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An, Li, Eve Bohnett, Curtis Battle, et al. "Sex-Specific Habitat Suitability Modeling for Panthera tigris in Chitwan National Park, Nepal: Broader Conservation Implications." Sustainability 13, no. 24 (2021): 13885. http://dx.doi.org/10.3390/su132413885.

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Although research on wildlife species across taxa has shown that males and females may differentially select habitat, sex-specific habitat suitability models for endangered species are uncommon. We developed sex-specific models for Bengal tigers (Panthera tigris) based on camera trapping data collected from 20 January to 22 March 2010 within Chitwan National Park, Nepal, and its buffer zone. We compared these to a sex-indiscriminate habitat suitability model to assess the benefits of a sex-specific approach to habitat suitability modeling. Our sex-specific models produced more informative and

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Dietenberger, Steffen, Marlin M. Mueller, Andreas Henkel, Clémence Dubois, Christian Thiel, and Sören Hese. "Mapping Habitat Structures of Endangered Open Grassland Species (E. aurinia) Using a Biotope Classification Based on Very High-Resolution Imagery." Remote Sensing 17, no. 1 (2025): 149. https://doi.org/10.3390/rs17010149.

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Analyzing habitat conditions and mapping habitat structures are crucial for monitoring ecosystems and implementing effective conservation measures, especially in the context of declining open grassland ecosystems in Europe. The marsh fritillary (Euphydryas aurinia), an endangered butterfly species, depends heavily on specific habitat conditions found in these grasslands, making it vulnerable to environmental changes. To address this, we conducted a comprehensive habitat suitability analysis within the Hainich National Park in Thuringia, Germany, leveraging very high-resolution (VHR) airborne,

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Yao, Jun, Chengli Zhou, Wenquan Wang, Yangyang Li, Ting Du, and Lei Shi. "Habitat Suitability of Danaus genutia Based on the Optimized MaxEnt Model." Insects 15, no. 12 (2024): 971. https://doi.org/10.3390/insects15120971.

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Danaus genutia, commonly known as the tiger butterfly, is a visually appealing species in the Danaidae family. As it is not currently classified as endangered, it is excluded from key protected species lists at national and local levels, limiting focus on its population and habitat status, which may result in it being overlooked in local butterfly conservation initiatives. Yunnan, characterized by high butterfly diversity, presents an ideal region for studying habitat suitability for D. genutia, which may support the conservation of regional biodiversity. This study employs the MaxEnt ecologic

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Bora, Chiranjib, and Prasanta Kumar Saikia. "MaxEnt modelling for predicting habitat suitability and future range of Black-breasted Parrotbill (Paradoxornis flavirostris Gould, 1836) in Northeast India." Ornis Hungarica 32, no. 1 (2024): 31–44. http://dx.doi.org/10.2478/orhu-2024-0003.

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Abstract Habitat suitability models are powerful tools in predicting species distributions and assessing the potential impacts of environmental changes. In this article, a habitat suitability model was developed for Paradoxornis flavirostris, a threatened (Vulnerable) bird species found in the northeastern part of India, using remote sensing data and machine learning techniques. The occurrence records for P. flavirostris were considered from primary as well as multiple secondary sources like GBIF & eBird, and bioclimatic variables such as temperature, precipitation, and humidity were colle

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Muhammed, Khaleel, Aavudai Anandhi, and Gang Chen. "Comparing Methods for Estimating Habitat Suitability." Land 11, no. 10 (2022): 1754. http://dx.doi.org/10.3390/land11101754.

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Habitat suitability (HS) describes the ability of the habitat to support living organisms. There are several approaches to estimate habitat suitability. These approaches are specific to a species or habitat or estimate general HS broadly across multiple species or habitats. The objectives of the study were to compare the approaches for estimating HS and to provide guidelines for choosing an appropriate HS method for conservation. Three HS estimation methods were used. Method 1 scores the suitability based on the naturality of the habitat. Method 2 uses the average of HS values found in the lit

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Jeong, Seunggyu, Changwan Seo, Jaehyun Yoon, Dong Kun Lee, and Jonghoon Park. "A Study on Riparian Habitats for Amphibians Using Habitat Suitability Model." Journal of Environmental Impact Assessment 24, no. 2 (2015): 175–89. http://dx.doi.org/10.14249/eia.2015.24.2.175.

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Jung, Jong Bin, Go Eun Park, Hyun Jun Kim, Jeong Hoon Huh, and Yurry Um. "Predicting the Habitat Suitability for Angelica gigas Medicinal Herb Using an Ensemble Species Distribution Model." Forests 14, no. 3 (2023): 592. http://dx.doi.org/10.3390/f14030592.

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The distribution shift of forest species due to the fact of climate change may negatively affect ecosystem services including the production of medicinal resources. Climate change impact assessments of habitat range changes are essential to sustainably manage forest resources. A change in the habitat suitability due to the fact of climate change was predicted for Angelica gigas, which has high economic value among forest medicinal resources in South Korea. The habitat suitability was predicted by an ensemble species distribution model that combined the results of nine single algorithm models u

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Fonderflick, Jocelyn, Clémentine Azam, Clarisse Brochier, Emmanuel Cosson, and Delphine Quékenborn. "Testing the relevance of using spatial modeling to predict foraging habitat suitability around bat maternity: A case study in Mediterranean landscape." Biological Conservation 192 (June 12, 2015): 120–29. https://doi.org/10.5281/zenodo.13463288.

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(Uploaded by Plazi for the Bat Literature Project) Habitat suitability models (HSMs) have so far been used mainly to study broad-scale patterns of species distribution based on environmental variables; however, they can also be applied to address conservation needs at finer scales. In this study, we evaluated the feasibility of using HSMs based on presence-only data to predict bat foraging habitat suitability around maternity roosts using radio-tracking location data. We radio-marked 34 Rhinolophus ferrumequinum and 29 Myotis emarginatus from two mixed-species maternity roosts (21.5 km apart)

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Fonderflick, Jocelyn, Clémentine Azam, Clarisse Brochier, Emmanuel Cosson, and Delphine Quékenborn. "Testing the relevance of using spatial modeling to predict foraging habitat suitability around bat maternity: A case study in Mediterranean landscape." Biological Conservation 192 (June 7, 2015): 120–29. https://doi.org/10.5281/zenodo.13463288.

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(Uploaded by Plazi for the Bat Literature Project) Habitat suitability models (HSMs) have so far been used mainly to study broad-scale patterns of species distribution based on environmental variables; however, they can also be applied to address conservation needs at finer scales. In this study, we evaluated the feasibility of using HSMs based on presence-only data to predict bat foraging habitat suitability around maternity roosts using radio-tracking location data. We radio-marked 34 Rhinolophus ferrumequinum and 29 Myotis emarginatus from two mixed-species maternity roosts (21.5 km apart)

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Fonderflick, Jocelyn, Clémentine Azam, Clarisse Brochier, Emmanuel Cosson, and Delphine Quékenborn. "Testing the relevance of using spatial modeling to predict foraging habitat suitability around bat maternity: A case study in Mediterranean landscape." Biological Conservation 192 (July 3, 2015): 120–29. https://doi.org/10.5281/zenodo.13463288.

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(Uploaded by Plazi for the Bat Literature Project) Habitat suitability models (HSMs) have so far been used mainly to study broad-scale patterns of species distribution based on environmental variables; however, they can also be applied to address conservation needs at finer scales. In this study, we evaluated the feasibility of using HSMs based on presence-only data to predict bat foraging habitat suitability around maternity roosts using radio-tracking location data. We radio-marked 34 Rhinolophus ferrumequinum and 29 Myotis emarginatus from two mixed-species maternity roosts (21.5 km apart)

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Fonderflick, Jocelyn, Clémentine Azam, Clarisse Brochier, Emmanuel Cosson, and Delphine Quékenborn. "Testing the relevance of using spatial modeling to predict foraging habitat suitability around bat maternity: A case study in Mediterranean landscape." Biological Conservation 192 (July 10, 2015): 120–29. https://doi.org/10.5281/zenodo.13463288.

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(Uploaded by Plazi for the Bat Literature Project) Habitat suitability models (HSMs) have so far been used mainly to study broad-scale patterns of species distribution based on environmental variables; however, they can also be applied to address conservation needs at finer scales. In this study, we evaluated the feasibility of using HSMs based on presence-only data to predict bat foraging habitat suitability around maternity roosts using radio-tracking location data. We radio-marked 34 Rhinolophus ferrumequinum and 29 Myotis emarginatus from two mixed-species maternity roosts (21.5 km apart)

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Fonderflick, Jocelyn, Clémentine Azam, Clarisse Brochier, Emmanuel Cosson, and Delphine Quékenborn. "Testing the relevance of using spatial modeling to predict foraging habitat suitability around bat maternity: A case study in Mediterranean landscape." Biological Conservation 192 (July 17, 2015): 120–29. https://doi.org/10.5281/zenodo.13463288.

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(Uploaded by Plazi for the Bat Literature Project) Habitat suitability models (HSMs) have so far been used mainly to study broad-scale patterns of species distribution based on environmental variables; however, they can also be applied to address conservation needs at finer scales. In this study, we evaluated the feasibility of using HSMs based on presence-only data to predict bat foraging habitat suitability around maternity roosts using radio-tracking location data. We radio-marked 34 Rhinolophus ferrumequinum and 29 Myotis emarginatus from two mixed-species maternity roosts (21.5 km apart)

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Ab Lah, Nor Zafirah, Zulkifli Yusop, Mazlan Hashim, Jamilah Mohd Salim, and Shinya Numata. "Predicting the Habitat Suitability of Melaleuca cajuputi Based on the MaxEnt Species Distribution Model." Forests 12, no. 11 (2021): 1449. http://dx.doi.org/10.3390/f12111449.

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Gelam tree or Melaleuca cajuputi (M. cajuputi) is an important species for the local economy as well as coastal ecosystem protection in Terengganu, Malaysia. This study aimed at producing a current habitat suitability map and predicting future potential habitat distribution for M. cajuputi in Terengganu based on Species distribution modeling (SDM) using the Maximum Entropy principle. Our modeling results show that for the current potential distribution of M. cajuputi species, only 10.82% (1346.5 km2) of Terengganu area is suitable habitat, which 0.96% of the areas are under high, 2.44% moderat

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Aryanti, Nirmala Ayu, Tander Scila Serata Dwi Susilo, Ari Nadya Ningtyas, and Mahmuddin Rahmadana. "Pemodelan Spasial Kesesuaian Habitat Elang Jawa (Nisaetus bartelsi) di Taman Nasional Bromo Tengger Semeru (Spatial Modeling of Javan Hawk-Eagle (Nisaetus bartelsi) Habitat Suitability in Bromo Tengger Semeru National Park)." Jurnal Sylva Lestari 9, no. 1 (2021): 179. http://dx.doi.org/10.23960/jsl19179-189.

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Bromo Tengger Semeru National Park (TNBTS) is a conservation area as the habitat of endemic species in Java Island, such as the Javan hawk-eagle (Nisaetus bartelsi). One of the spatial models of habitat is the Ecological Niche Modeling (ENM) approach. This study aimed to determine habitat suitability for the Javan hawk-eagle in TNBTS. The research was conducted from September 2019 to January 2020. The habitat suitability model used the present coordinate point data and the Javan hawk-eagle habitat environment variables. The data were then analyzed to build a Javan hawk-eagle habitat suitabilit

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Yao, Siyang, Xinyu Li, Chenglin Liu, et al. "Quantitative Assessment of Impact of the Proposed Poyang Lake Hydraulic Project (China) on the Habitat Suitability of Migratory Birds." Water 11, no. 8 (2019): 1639. http://dx.doi.org/10.3390/w11081639.

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Poyang Lake is the largest wintering habitat for migratory birds in Asia. In the last decade, the lake has experienced an early-occurring and prolonged dry season that has deteriorated the lake’s ecological status. To tackle this issue, the Chinese government has proposed the construction of the Poyang Lake Hydraulic Project (PLHP) to regulate water flow to the lake. However, its impact on migratory bird habitats is unknown. In this study, we simulated the habitat suitability for migratory birds in Poyang Lake during wet and dry years, with and without the presence/operation of the hydraulic p

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Ismaili, Rashid Rasool Rabbani, Xiaoxu Peng, Yibin Li, et al. "Modeling Habitat Suitability of Snow Leopards in Yanchiwan National Reserve, China." Animals 14, no. 13 (2024): 1938. http://dx.doi.org/10.3390/ani14131938.

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Snow leopards (Panthera uncia) are elusive predators inhabiting high-altitude and mountainous rugged habitats. The current study was conducted in the Yanchiwan National Nature Reserve, Gansu Province, China, to assess the habitat suitability of snow leopards and identify key environmental factors inducing their distribution. Field data collected between 2019 and 2022 through scat sampling and camera trapping techniques provided insights into snow leopard habitat preferences. Spatial distribution and cluster analyses show distinct hotspots of high habitat suitability, mostly concentrated near m

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Dildar, Zeenat, Wenjiang Huang, Raza Ahmed, and Zeeshan Khalid. "Habitat Suitability of the Common Leopard (Panthera pardus) in Azad Jammu and Kashmir, Pakistan: A Dual-Model Approach Using MaxEnt and Random Forest." Environments 12, no. 6 (2025): 203. https://doi.org/10.3390/environments12060203.

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The common leopard (Panthera pardus) in Azad Jammu and Kashmir (AJ and K), Pakistan, is increasingly threatened by habitat fragmentation and climate change. This study employs a dual-model approach, integrating Maximum Entropy (MaxEnt) and Random Forest algorithms with multi-source remote sensing data to evaluate leopard habitat suitability. Our analysis identifies land cover (LC), fractional vegetation cover (FVC), elevation, temperature seasonality (bio4), and distance to roads (Dist_road) as the most influential habitat predictors. Leopards exhibit a strong preference for mixed forests at e

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Zannetos, Stylianos P., Konstantinos Theodorou, Yiannis G. Zevgolis, Eleni Galinou, and Triantaphyllos Akriotis. "Habitat Suitability Assessment for Two Burrowing Rodents on the Island of Lesvos: A Niche-Based Approach." Life 14, no. 10 (2024): 1231. http://dx.doi.org/10.3390/life14101231.

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We conducted a habitat suitability assessment for two burrowing rodents, Anatolian or Nehring’s blind mole rat (Nannospalax xanthodon) and Harting’s vole (Microtus hartingi), on the island of Lesvos using a niche-based approach. We collected data on the presence of the two species across the island and selected several environmental variables, including land cover, geology, and habitat topography, to assess their influence on habitat suitability. We used the Maxent species distribution modelling algorithm to predict suitable habitats. The results showed that both species preferred habitats wit

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Ariffin, N. A. T., M. A. Mustapha, T. M. Taher, N. F. Khodri, N. I. Abdullah, and S. M. Nor. "Potential habitat connectivity for Malayan gaur (Bos gaurus) in a fragmented forest area in Peninsular Malaysia." Journal of Environmental Biology 42, no. 3(SI) (2021): 798–805. http://dx.doi.org/10.22438/jeb/42/3(si)/jeb-09.

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Aim: To predict the distribution of suitable habitats for Malayan gaur (Bos gaurus) at a highly fragmented forest area in Peninsular Malaysia and to identify the potential connectivity between suitable habitat patches. Methodology: Maximum entropy (MaxEnt) approach was used to predict the distribution of suitable habitats of the Malayan gaur. Gaur presence-only data and six environmental variables were collated for the habitat suitability modeling, and area under curve (AUC) value was used to estimate the performance of the model. The resulting model was then used to derive a potential connect

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Li, Jie, Hui Qin, Shaoqian Pei, et al. "Analysis of an Ecological Flow Regime during the Ctenopharyngodon Idella Spawning Period Based on Reservoir Operations." Water 11, no. 10 (2019): 2034. http://dx.doi.org/10.3390/w11102034.

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The study of fish habitats is important for us to better understand the impact of reservoir construction on river ecosystems. Many habitat models have been developed in the past few decades. In this study, a fuzzy logic-based habitat model, which couples fuzzy inference system, two-dimensional laterally averaged hydrodynamic model, and two-dimensional shallow water hydrodynamic model, is proposed to identify the baseline condition of suitable habitat for fish spawning activities. The proposed model considers the reservoir and the downstream river channel, and explores the comprehensive effects

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Luo, Xiang, Liang Liang, Zhixiao Liu, et al. "Habitat Suitability Evaluation of the Chinese Horseshoe Bat (R. sinicus) in the Wuling Mountain Area Based on MAXENT Modelling." Polish Journal of Environmental Studies 29, no. 2 (2020): 1263–73. https://doi.org/10.5281/zenodo.13447891.

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(Uploaded by Plazi for the Bat Literature Project) The modelling of habitat suitability and the prediction of the spatial distribution of species are important for the conservation of endangered species. In this paper, the evaluation of habitat suitability of the Chinese horseshoe bat (Rhinolophus sinicus) in the Wuling Mountains was studied. The global positioning system (GPS), remote sensing (RS) and geographic information system (GIS) were used to obtain ground survey data and analyse the habitat factors driving the distribution of R. sinicus. The binary logistic regression model and the Ma

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Luo, Xiang, Liang Liang, Zhixiao Liu, et al. "Habitat Suitability Evaluation of the Chinese Horseshoe Bat (R. sinicus) in the Wuling Mountain Area Based on MAXENT Modelling." Polish Journal of Environmental Studies 29, no. 2 (2020): 1263–73. https://doi.org/10.5281/zenodo.13447891.

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(Uploaded by Plazi for the Bat Literature Project) The modelling of habitat suitability and the prediction of the spatial distribution of species are important for the conservation of endangered species. In this paper, the evaluation of habitat suitability of the Chinese horseshoe bat (Rhinolophus sinicus) in the Wuling Mountains was studied. The global positioning system (GPS), remote sensing (RS) and geographic information system (GIS) were used to obtain ground survey data and analyse the habitat factors driving the distribution of R. sinicus. The binary logistic regression model and the Ma

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Luo, Xiang, Liang Liang, Zhixiao Liu, et al. "Habitat Suitability Evaluation of the Chinese Horseshoe Bat (R. sinicus) in the Wuling Mountain Area Based on MAXENT Modelling." Polish Journal of Environmental Studies 29, no. 2 (2020): 1263–73. https://doi.org/10.5281/zenodo.13447891.

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(Uploaded by Plazi for the Bat Literature Project) The modelling of habitat suitability and the prediction of the spatial distribution of species are important for the conservation of endangered species. In this paper, the evaluation of habitat suitability of the Chinese horseshoe bat (Rhinolophus sinicus) in the Wuling Mountains was studied. The global positioning system (GPS), remote sensing (RS) and geographic information system (GIS) were used to obtain ground survey data and analyse the habitat factors driving the distribution of R. sinicus. The binary logistic regression model and the Ma

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Luo, Xiang, Liang Liang, Zhixiao Liu, et al. "Habitat Suitability Evaluation of the Chinese Horseshoe Bat (R. sinicus) in the Wuling Mountain Area Based on MAXENT Modelling." Polish Journal of Environmental Studies 29, no. 2 (2020): 1263–73. https://doi.org/10.5281/zenodo.13447891.

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Abstract:

(Uploaded by Plazi for the Bat Literature Project) The modelling of habitat suitability and the prediction of the spatial distribution of species are important for the conservation of endangered species. In this paper, the evaluation of habitat suitability of the Chinese horseshoe bat (Rhinolophus sinicus) in the Wuling Mountains was studied. The global positioning system (GPS), remote sensing (RS) and geographic information system (GIS) were used to obtain ground survey data and analyse the habitat factors driving the distribution of R. sinicus. The binary logistic regression model and the Ma

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37

Luo, Xiang, Liang Liang, Zhixiao Liu, et al. "Habitat Suitability Evaluation of the Chinese Horseshoe Bat (R. sinicus) in the Wuling Mountain Area Based on MAXENT Modelling." Polish Journal of Environmental Studies 29, no. 2 (2020): 1263–73. https://doi.org/10.5281/zenodo.13447891.

Full text

Abstract:

(Uploaded by Plazi for the Bat Literature Project) The modelling of habitat suitability and the prediction of the spatial distribution of species are important for the conservation of endangered species. In this paper, the evaluation of habitat suitability of the Chinese horseshoe bat (Rhinolophus sinicus) in the Wuling Mountains was studied. The global positioning system (GPS), remote sensing (RS) and geographic information system (GIS) were used to obtain ground survey data and analyse the habitat factors driving the distribution of R. sinicus. The binary logistic regression model and the Ma

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Ouellet, Valerie, André St-Hilaire, Yves Secretan, Marc Mingelbier, Jean Morin, and Stephen J. Dugdale. "The Importance of Including Water Temperature Simulations in a 2D Fish Habitat Model for the St. Lawrence River." Water 13, no. 13 (2021): 1736. http://dx.doi.org/10.3390/w13131736.

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Extreme climatic conditions likely caused a massive fish mortality during the summer of 2001 in the St. Lawrence River. To corroborate this hypothesis, we used a physical habitat simulation approach incorporating hydraulic and water temperature models. Spawning Habitat Suitability Indices (HSI) for common carp (Cyprinus carpio) were developed using fuzzy logic and applied to the model outputs to estimate habitat weighted usable area during the event. The results revealed that areas suitable for common carp spawning (HSI > 0.3) were severely reduced by high water temperatures, which exceeded

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Kenna, Amelie Mc, Alfred Schultz, Matthias Neumann, Angela Lausch, and Erik Borg. "Modeling of Habitat Suitability Using Remote Sensing and Spatio-Temporal Imprecise In Situ Data on the Example of Red Deer." Environments 11, no. 12 (2024): 269. http://dx.doi.org/10.3390/environments11120269.

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This paper presents a streamlined approach to describing potential habitats for red deer (Cervus elaphus) in situations where in situ data collected through observations and monitoring are absent or insufficient. The main objectives of this study were as follows: (a) to minimize the negative effects of limited in situ data; (b) to identify landscape features with a functional relationship between habitat quality and landscape structure; and (c) to use imprecise in situ data for statistical analyses to specify these relationships. The test area was located in the eastern part of Mecklenburg-Wes

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Mandala, Bakti, Ervizal A. M. Zuhud, and Dede Aulia Rahman. "TYPOLOGY OF HABITAT NEPENTHES ARISTOLOCHIOIDES IN KERINCI SEBLAT NATIONAL PARK." Media Konservasi 28, no. 2 (2023): 194–200. https://doi.org/10.29244/medkon.28.2.194-200.

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Nepenthes aristolochioides is an endemic species found in Indonesia. This species has a narrow ecological distribution on Mount Tujuh, in the forest area of Kerinci Seblat National Park (TNKS), Kerinci Regency, Jambi Province. Nepenthes aristolochioides is a rare and critically endangered species of Nepenthes. Unfortunately, the study of environmental factors that influence its existence has not been widely studied. Therefore, a prediction model for the distribution of N.aristolochioides is needed as a solution for managing its habitat. This study aims to make a prediction map of the habitat o

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Muhamad, Muhammad Abdul Hakim, Rozaimi Che Hasan, Najhan Md Said, and Jillian Lean-Sim Ooi. "Seagrass habitat suitability model for Redang Marine Park using multibeam echosounder data: Testing different spatial resolutions and analysis window sizes." PLOS ONE 16, no. 9 (2021): e0257761. http://dx.doi.org/10.1371/journal.pone.0257761.

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Integrating Multibeam Echosounder (MBES) data (bathymetry and backscatter) and underwater video technology allows scientists to study marine habitats. However, use of such data in modeling suitable seagrass habitats in Malaysian coastal waters is still limited. This study tested multiple spatial resolutions (1 and 50 m) and analysis window sizes (3 × 3, 9 × 9, and 21 × 21 cells) probably suitable for seagrass-habitat relationships in Redang Marine Park, Terengganu, Malaysia. A maximum entropy algorithm was applied, using 12 bathymetric and backscatter predictors to develop a total of 6 seagras

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Virgl, John A., and François Messier. "Assessment of source-sink theory for predicting demographic rates among habitats that exhibit temporal changes in quality." Canadian Journal of Zoology 78, no. 8 (2000): 1483–93. http://dx.doi.org/10.1139/z00-066.

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Within the framework of Pulliam's source-sink model we tested predictions of habitat-specific demography on a "closed" population of muskrats (Ondatra zibethicus L.) occupying three contiguous habitats that exhibited temporal changes in quality and quantity. We were able to distinguish between dispersal among habitats and mortality within each habitat, and induce temporal variation in operational-habitat availability and suitability by manipulating water level. Temporal variation in population size and density among habitats supported the source-sink model and was primarily associated with hab

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Sharareh, Pourebrahim Mehrdad Hadipour Zahra Emlaii Hamidreza Heidari Jit Ern Chen Ali Najah Ahmed. "Habitat protection and planning for indicator species using the MaxEnt model in Alborz." Journal of Wildlife and Biodiversity, no. 3 (June 17, 2024): 325–39. https://doi.org/10.5281/zenodo.11917250.

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Predicting and mapping appropriate habitats for endangered and threatened species is crucial for monitoring and restoring their dwindling populations in their natural surroundings. Additionally, it aids in selecting suitable conservation sites and effectively managing their habitats. An ideal approach for habitat suitability modeling involves utilizing MaxEnt machine learning techniques. The MaxEnt model was employed to forecast habitat suitability for key species, including Ursus arctos, Capra aegagrus, Ovis ammon, Lutra lutra, Martes foina, Lynx lynx, and Panthera pardus. Additionally, Linka

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Liu, Qi, Jianyang Ye, Zujie Kang, et al. "Reeve’s Muntjac (Muntiacus reevesi) Habitat Suitability Under Climate Change Scenarios in Hupingshan National Nature Reserve, China." Animals 15, no. 2 (2025): 160. https://doi.org/10.3390/ani15020160.

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Climate change and human disturbance are critical factors affecting the habitat distribution of wild animals, with implications for management strategies such as protecting migration corridors, habitat restoration, and species conservation. In the Hupingshan National Nature Reserve (NNR), Reeve’s muntjac (Muntiacus reevesi) is a key prey species for the South China tiger (Panthera tigris amoyensis), which is extinct in the wild and targeted for reintroduction by the Chinese government. Thus, understanding the habitat distribution and abundance of Reeve’s muntjac is essential to ensure the surv

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Lee, Jaeho, Sungsoo Yoon, Jaeseok Lee, and Changwan Seo. "Climate Change Impacts on the Potential Distribution of Camellia japonica in South Korea under SSP Scenarios." GEO DATA 6, no. 4 (2024): 400–410. https://doi.org/10.22761/gd.2024.0058.

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Climate change presents significant challenges to the habitat suitability of Camellia japonica, a key species in East Asian ecosystems. This study evaluated the potential impacts of climate change on the distribution of Camellia japonica in South Korea using species distribution models (SDMs) and shared socioeconomic pathways (SSP) scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5). Eleven SDMs, including an ensemble model weighted mean (EMW), were applied to predict habitat suitability from 2010 to 2070. Model performance was assessed using receiver operating characteristics curve (ROC), true

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Öhman, Karin, Lars Edenius, and Grzegorz Mikusiński. "Optimizing spatial habitat suitability and timber revenue in long-term forest planning." Canadian Journal of Forest Research 41, no. 3 (2011): 543–51. http://dx.doi.org/10.1139/x10-232.

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Effective tools must be developed that include consideration of biodiversity in the traditional forest planning process. The objective of this study is to present a spatial habitat suitability model that could be included in the optimization of long-term forest planning where the problem can be solved with an exact solution method. This could be an advantage, since, e.g., many forest planning systems available today are designed for problems that could be solved with an exact solution method. The habitat model consists of two parts: suitability assessment of stand-wise conditions and spatial c

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Costa, João Henrique Alliprandini da, and Ursulla Pereira Souza. "The Gulf toadfish goes south: assessing the potential habitat suitability of Opsanus beta in response to climate change." Acta Scientiarum. Biological Sciences 45 (October 27, 2023): e68519. http://dx.doi.org/10.4025/actascibiolsci.v45i1.68519.

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Climate change can directly influence invasive species range, and may reflect in greater habitat suitability, consequently increasing losses in native biodiversity. Habitat suitability modelling can help identify priority areas for conservation and rapid response for invasive taxa. This study aimed to model the habitat suitability of Opsanus beta, an invasive fish species, in South America under current and future climate change scenarios. Three modelling techniques, Generalized Linear Model (GLM), Maximum Entropy Algorithm (Maxent), and Random Forest (RF), were applied, and their results were

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Yudaputra, A. "Predicting habitat suitability of critically endangered Nepenthes sumatrana." IOP Conference Series: Earth and Environmental Science 948, no. 1 (2021): 012020. http://dx.doi.org/10.1088/1755-1315/948/1/012020.

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Abstract Nepenthes sumatrana is a tropical pitcher plant endemic to Sumatra. It has been categorised as critically endangered based on the IUCN Red List. It often occupies in lowland tropical forest of Sumatra. Its habitat has been threatened by land use conversion in the recent decade. Due to the high threats in the wild, the conservation efforts are necessarily required. It is not possible to assess all locations that are suitable for this species. In terms of addressing that issue, Species Distribution Modelling is considered as an alternative way to identify the regions that have the simil

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Dussault, Christian, Réhaume Courtois, and Jean-Pierre Ouellet. "A habitat suitability index model to assess moose habitat selection at multiple spatial scales." Canadian Journal of Forest Research 36, no. 5 (2006): 1097–107. http://dx.doi.org/10.1139/x05-310.

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We developed a habitat suitability index (HSI) model for moose (Alces alces) in the boreal forest. The model used two components: a suitability index for food (SIfood) and another for the interspersion between cover and food (SIedge). We used forest maps as the input data source, and the value of each stand type in terms of cover and food was based on field surveys. To validate the model, the habitat preference of moose equipped with global positioning system telemetry collars was assessed at both landscape and home-range scales. We expected the habitat-preference index to correlate with suita

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Smith, RS, S. Hogan, KN Tedford, B. Lusk, MA Reidenbach, and MCN Castorani. "Long-term data reveal greater intertidal oyster biomass in predicted suitable habitat." Marine Ecology Progress Series 683 (February 3, 2022): 221–26. http://dx.doi.org/10.3354/meps13949.

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Habitat suitability models have been used for decades to develop spatially explicit predictions of landscape capacity to support populations of target species. As high-resolution remote sensing data are increasingly included in habitat suitability models that inform spatial conservation and restoration decisions, it is essential to validate model predictions with independent, quantitative data collected over sustained time frames. Here, we used data collected from 12 reefs over a 14 yr sampling period to validate a recently developed physical habitat suitability model for intertidal oyster ree

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