Habitat suitability model of endangered Latidens salimalii and the probable consequences of global warming

Raman, Sreehari; Shameer, Thekke Thumbath; Charles, Bipin; Sanil, Raveendranathanpillai

doi:10.1007/s42965-020-00114-5

Cited by 16 publications

(14 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The habitat specialist species like brown palm civet may suffer from the loss of a specific habitat. (Raman et al, 2020b). Because the brown palm civet is strictly arboreal, removing fruiting trees from its habitat significantly impacts the species.…”

Section: Discussionmentioning

confidence: 99%

“…The Western Ghats receive good rainfall, which differs from place to place, and it is responsible for the formation of northeast and southwest monsoons. At present, the Western Ghats is facing severe threats due to uncontrolled anthropogenic pressure and climate change (Raman et al, 2020a(Raman et al, , 2020b)…”

Section: Study Areamentioning

confidence: 99%

“…While the evaluation criteria for the AUC statistic is excellent (0.90-1.00), very good (0.8-0.9), good (0.7-0.8), fair (0.6-0.7), and poor (0.5-0.6) (Monserud and Leemans (1992), Swets (1988), and Duan et al (2014)). We classified the predicted suitability of habitat into very high (>0.8), high (0.6-0.8), moderate (0.4-0.6), low (0.2-0.4), and very low (<0.2) (Raman et al, 2020b). Each predicted habitat category is estimated by creating polygons and expressed in square kilometers (km 2 ).…”

Section: Habitat Suitability Modelingmentioning

confidence: 99%

“…MaxEnt (Maximum Entropy) creates species distribution models based on species occurrence records and, in response to various environmental variables (Papeş & Gaubert, 2007;Williams et al, 2009). The niche modeling advancements allow us to predict and identify the suitable habitat for the nocturnal and cryptic endemic species (Raman et al, 2020a(Raman et al, , 2020b.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Phenotypic variations, habitat suitability, and diel activity of the endemic brown palm civets

Shameer¹,

Backer²,

Yogesh³

et al. 2021

Geology, Ecology, and Landscapes

Self Cite

View full text Add to dashboard Cite

The natural distribution and the species ecology of the lesser-known nocturnal endemic brown palm civet in the Western Ghats are definite. We used camera trap data from the Western Ghats to predict the suitable niche, coat colour pattern, and diel activity. The environmental variables like rainfall, elevation, isothermaility, tree density, and tree height profoundly influence the brown palm civet's habitat suitability. We determined that the most suitable habitat area in the entire Western Ghats is 21,853 km 2 , in four well-defined isolated blocks. The brown palm civet distribution is more towards the south, ranging from Kakkad to Anamalai. The distribution on the north side is in the Nilgiris, Bhadra, and the Sahyadri. The diel activity pattern indicates that the species is nocturnal, with activity peak in the early night and ending in the early morning, and is nearly identical in different landscapes. The species has a variety of coat patterns, which we believe is due to phenotypic plasticity. The species is not a true high altitude montane shola-dependent species, unlike the other endemic species of the Western Ghats. The destruction of rainforests resulting from excessive anthropogenic pressure results in habitat fragmentation, posing a significant threat to the brown palm civet habitats.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

Section: Habitat Suitability Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Phenotypic variations, habitat suitability, and diel activity of the endemic brown palm civets

Shameer¹,

Backer²,

Yogesh³

et al. 2021

Geology, Ecology, and Landscapes

Self Cite

View full text Add to dashboard Cite

show abstract

“…The area was calculated from no suitability to high suitability using the logistic output of MaxEnt, and the logical suitability index (SI). We classified the suitability maps into five categories including “highly suitable habitat (HSH)” (SI ≥ 0.7), “suitable habitat (SH)” (0.4 ≤ SI < 0.7), “marginally suitable habitat (MSH)” (0.1 ≤ SI < 0.4), and “unsuitable habitat (UH)” (SI < 0.1, Gilani et al, 2020; Raman et al, 2020; Singh et al, 2020).…”

Section: Methodsmentioning

confidence: 99%

Impact of climate change on Asiatic black bear (Ursus thibetanus) and its autumn diet in the northern highlands of Pakistan

Zahoor

Liu

Ahmad

et al. 2021

Global Change Biology

View full text Add to dashboard Cite

Approximately 20%–30% of plant and animal species are at risk of extinction by the end of the 21st century owing to climate change. Range shifts and range contractions in plant species will dramatically affect the distribution of animals relying on them for food and shelter. The negative impacts of climate change on forested landscapes of the northern highlands of Pakistan (NHP) could change the species composition and distribution. The Asiatic black bear (Ursus thibetanus), a forest‐dwelling species, primarily depends on plants for foraging, and is assumed to be affected by climate change in NHP. Scat analyses and indigenous knowledge from Machiara National Park revealed the maximum consumption of Quercus species (natural food) and Zea mays (human grown food) by the Asiatic black bear in autumn season. We collected the occurrence data of the Asiatic black bear and its commonly used food (three Quercus spp.) in the NHP. We used the MaxEnt model to simulate current and future (in 2050 and 2070) distribution of the species under RCP4.5 (medium carbon emission scenario) and RCP8.5 (extreme carbon emission scenario). The results predict range reduction and extreme fragmentation in the habitats of all the Quercus spp. Besides, a dramatic decrease in the suitable (SH) and very highly suitable (HSH) habitats was predicted in the future. Range shift and range reduction of Quercus spp. may interrupt the denning chronology of Asiatic black bears, escalate the human‐black bear conflicts and local extirpation of the species. Given the extent and magnitude of climate change, it will likely not be enough to focus solely on the conservation of the Asiatic black bear. We need more dynamic planning aiming at mitigating the effect of climate change in forested landscapes including the Quercus forests.

show abstract

The devil is in the detail: Environmental variables frequently used for habitat suitability modeling lack information for forest‐dwelling bats in Germany

Bald,

Gottwald,

Hillen

et al. 2024

Ecology and Evolution

View full text Add to dashboard Cite

In response to the pressing challenges of the ongoing biodiversity crisis, the protection of endangered species and their habitats, as well as the monitoring of invasive species are crucial. Habitat suitability modeling (HSM) is often treated as the silver bullet to address these challenges, commonly relying on generic variables sourced from widely available datasets. However, for species with high habitat requirements, or for modeling the suitability of habitats within the geographic range of a species, variables at a coarse level of detail may fall short. Consequently, there is potential value in considering the incorporation of more targeted data, which may extend beyond readily available land cover and climate datasets. In this study, we investigate the impact of incorporating targeted land cover variables (specifically tree species composition) and vertical structure information (derived from LiDAR data) on HSM outcomes for three forest specialist bat species (Barbastella barbastellus, Myotis bechsteinii, and Plecotus auritus) in Rhineland‐Palatinate, Germany, compared to commonly utilized environmental variables, such as generic land‐cover classifications (e.g., Corine Land Cover) and climate variables (e.g., Bioclim). The integration of targeted variables enhanced the performance of habitat suitability models for all three bat species. Furthermore, our results showed a high difference in the distribution maps that resulted from using different levels of detail in environmental variables. This underscores the importance of making the effort to generate the appropriate variables, rather than simply relying on commonly used ones, and the necessity of exercising caution when using habitat models as a tool to inform conservation strategies and spatial planning efforts.

show abstract

Habitat suitability model of endangered Latidens salimalii and the probable consequences of global warming

Cited by 16 publications

References 50 publications

Phenotypic variations, habitat suitability, and diel activity of the endemic brown palm civets

Phenotypic variations, habitat suitability, and diel activity of the endemic brown palm civets

Impact of climate change on Asiatic black bear (Ursus thibetanus) and its autumn diet in the northern highlands of Pakistan

The devil is in the detail: Environmental variables frequently used for habitat suitability modeling lack information for forest‐dwelling bats in Germany

Contact Info

Product

Resources

About