Identifying suitable reintroduction sites for the White-rumped Vulture (Gyps bengalensis) in India's Western Ghats using niche models and habitat requirements

Anoop, N. R.; Babu, Santhanakrishnan; Nagarajan, R.; Sen, Sandeep

doi:10.1016/j.ecoleng.2020.106034

Cited by 11 publications

(5 citation statements)

References 45 publications

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“…Finally, bio09 (mean temperature of the driest quarter) and bio08 (mean temperature of the wettest quarter) were the most important variables of temperature for EBV and EGV, respectively. However, the influence of bioclimatic variables in habitat determination, in general, has been noted in other studies on raptors and scavengers (Gschweng et al, 2012;Liminana et al, 2012;Phipps et al, 2017;Zhang et al, 2019;Anoop et al, 2020;Jha and Jha, 2021a). Interestingly, the results on the important role of variables in the present study does not support an earlier hypothesis that LULC is the most important contributor in model prediction in central India in the case of migratory vultures (EBV, EGV and Himalayan Griffon) as derived by MaxEnt algorithm .…”

Section: Variable Identificationcontrasting

confidence: 99%

“…Identification of important variables as vital contributors have been emphasized in earlier research on vultures in Central India and Gangetic-Deccan-Thar region of India Jha, 2020, 2021a,b) and elsewhere (Phipps et al, 2017;Zhang et al, 2019;Anoop et al, 2020). In the ensemble model which is the consensus of superior models, five top variables played their role in model determination up to 78% (EBV) and 57% (EGV) (Figure 11).…”

Section: Variable Identificationmentioning

confidence: 90%

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Wintering habitat modelling for conservation of Eurasian vultures in northern India

Jha

KANAUJIA

Jha³

2022

Nova Geodesia

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Eurasian Black Vulture (EBV) and Eurasian Griffon Vulture (EGV), while residents elsewhere, winter in Uttar Pradesh, India. Knowledge of the habitat and regulating factors is obligatory for protection and better management of these vultures. Therefore, different types of habitats were mapped using eight species distribution models. Presence records from field survey, published data and citizen science, and 23 bioenvironmental raster layers were the model inputs. Eighteen models were developed whose strength varied greatly. As per the performance indicators, GBM and GLM were found to be superior models for EGV. For EBV all models were acceptable. MARS, with good model strength, was rejected on the grounds of field verification. However, the Ensemble model, overall, was found the best. As per this model, good habitat was restricted mostly in the Tarai ecozone. The top two vital variables were NDVI, and bio13 for both the vultures. The most vital temperature variable for EGV was bio08 while bio09 for EBV. Tarai ecozone showed the largest expanse of suitable area for both the vultures followed by Vindhyan-Bundelkhand, Gangetic plains and Semi-arid ecozones. Among the two, EBV (49000 km2) had more suitable area than EGV (37000 km2). Agricultural areas were found to be largely unsuitable. As per land cover, good habitat was mostly confined in forests. For better management of these wintering vultures which need only roosting and foraging, it is proposed that destruction of forested habitat and decrease in foraging materials needed immediate attention and control.

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Section: Variable Identificationcontrasting

confidence: 99%

Section: Variable Identificationmentioning

confidence: 90%

Wintering habitat modelling for conservation of Eurasian vultures in northern India

Jha

KANAUJIA

Jha³

2022

Nova Geodesia

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“…The use of minimum training presence logistic threshold in model building is suitable for the endangered species as it can predict the larger areas of their distribution range [ 66 ]. Besides the use of this logistic threshold in determining the habitat suitability is more appropriate; when the over estimation of the suitable habitats is considered to be less lethal as compared to under estimation [ 67 ].…”

Section: Methodsmentioning

confidence: 99%

Ecological assessment and environmental niche modelling of Himalayan rhubarb (Rheum webbianum Royle) in northwest Himalaya

et al. 2021

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In an era of anthropocene, threatened and endemic species with small population sizes and habitat specialists experience a greater global conservation concern in view of being at higher risk of extinction. Predicting and plotting appropriate potential habitats for such species is a rational method for monitoring and restoring their dwindling populations in expected territories. Ecological niche modelling (ENM) coalesces species existence sites with environmental raster layers to construct models that describe possible distributions of plant species. The present study is aimed to study the potential distribution and cultivation hotspots for reintroducing the high value, vulnerable medicinal herb (Rheum webbianum) in the Union territories of Jammu and Kashmir and Ladakh using population attributes and ecological niche modelling approach. Sixty-three populations inventoried from twenty-eight areas display a significant change in the phytosociological attributes on account of various anthropogenic threats. The current potential habitats coincide with actual distribution records and the mean value of Area Under Curve (AUC) was 0.98 and the line of predicted omission was almost adjacent to omission in training samples, thus validating a robustness of the model. The potential habitat suitability map based on the current climatic conditions predicted a total of 103760 km2 as suitable area for the growth of Rheum webbianum. Under the future climatic conditions, there is a significant reduction in the habitat suitability ranging from -78531.34 Km2 (RCP 4.5 for 2050) to -77325.81 (RCP 8.5 for 2070). Furthermore, there is a slight increase in the suitable habitats under future climatic conditions, ranging from +21.99 Km2 under RCP 8.5 (2050) to +3.14 Km2 under RCP 4.5 (2070). The Jackknife tests indicated Precipitation of Driest Month (BIO14) as the most contributing climatic variable in governing the distribution of R. webbianum. Therefore, scientifically sound management strategies are urgently needed to save whatever populations are left in-situ to protect this species from getting extinct. Present results can be used by conservationists for mitigating the biodiversity decline and exploring undocumented populations of R. webbianum on one hand and by policymakers in implementing the policy of conservation of species with specific habitat requirements by launching species recovery programmes in future on the other.

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“…Vultures are obligate scavengers and one of the most extinction-prone bird groups in the world (Sekercioglu et al, 2004;Straub et al, 2015;Phipps et al, 2017;Anoop et al, 2020). In India, there are nine old world vultures; most belong to the critically endangered and endangered category.…”

Section: Animal Species Distributionmentioning

confidence: 99%

Use of species distribution models to study habitat suitability for sustainable management and conservation in the Indian subcontinent: A decade's retrospective

Roy¹,

Suman²,

Ray³

et al. 2022

Front. Sustain. Resour. Manag.

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Loss of native habitat has been identified as one of the crucial drivers of the growing biodiversity crisis, acting toward the deleterious effects on individual fitness, functional diversity, changes in species richness and community structure. The objective of the study was to review the species distribution modeling works done in the Indian subcontinent throughout the last decade (2012–2021) to highlight the urgent issues of biodiversity conservation and sustainable management. Species distribution model (SDM), ecological niche model (ENM), and habitat suitability model (HSM) are, in general, used to predict the niche of a species. The Scopus search engine result was used for conducting the literature search of peer-reviewed articles. Topics examined included estimation of species' potential distribution area, spread of introduced species, deadly diseases or pests, habitat loss or future range shift of species due to anthropogenic alterations and climate change. The analysis showed that the majority of the works were focused on predicting native species distribution patterns (n = 119, 82%) rather than the invasion of alien species in the native ecosystem (n = 26, 18%) indicating the further scope of research in these areas. The scientific articles highlighted that the modeling results could be utilized efficiently to design conservation areas if not biased toward charismatic species. A coordinating institute at the inter-ministerial level can help to undertake policy-related planning for sustainable management and execution of decisions.

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Identifying suitable reintroduction sites for the White-rumped Vulture (Gyps bengalensis) in India's Western Ghats using niche models and habitat requirements

Cited by 11 publications

References 45 publications

Wintering habitat modelling for conservation of Eurasian vultures in northern India

Wintering habitat modelling for conservation of Eurasian vultures in northern India

Ecological assessment and environmental niche modelling of Himalayan rhubarb (Rheum webbianum Royle) in northwest Himalaya

Use of species distribution models to study habitat suitability for sustainable management and conservation in the Indian subcontinent: A decade's retrospective

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