The marsh slug, Deroceras laeve in Darjeeling Himalayas, India: First record and modelling of suitable habitats

Gupta, Neha Kumari; Paul, Pranesh; Barman, Himangshu; Aditya, Gautam

doi:10.1016/j.chnaes.2022.07.003

Cited by 5 publications

(4 citation statements)

References 36 publications

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“…The data set contained a total of 916 occurrence points. To mitigate geographical biases, a spatial thinning process (5 km × 5 km) (Gupta et al, 2023) of the occurrence points was applied through the spThin package in R v4.2.2. Subsequently, outliers-such as points located at sea or those missing essential environmental data-were removed manually.…”

Section: Occurrence Pointsmentioning

confidence: 99%

“…In this study, the MaxEnt algorithm was employed to identify suitable habitats for the king cobra across Asia. The MaxEnt algorithm, which operates on presence-only data, establishes a nonlinear relationship between predictor and response variables (Gupta et al, 2023). The MaxEnt-based species distribution model (SDM) is commonly applied to predict suitable habitats or appropriate areas for flora and fauna across different geographical and temporal scales (Phillips & Schapire, 2004).…”

Section: Introductionmentioning

confidence: 99%

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Range‐wide prediction of habitat suitability for king cobras under current and future scenarios

Mukherjee,

Patra,

Hossain

2024

Integrative Conservation

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Ophiophagus hannah, commonly known as the king cobra, is listed as vulnerable by the International Union for Conservation of Nature (IUCN) and is protected under national laws in most countries. This charismatic species faces multiple threats, including habitat loss, human persecution, illegal trafficking, and climate change. Due to the king cobra's sensitivity to environmental conditions, its population status and trends are barely understood. This study used the MaxEnt algorithm to predict the potential distribution of king cobras across Asia, a method that has been successfully implemented in modeling distributions of various species in the region. The findings showed that Evergreen Broadleaf Trees emerged as the most influential variable for the distribution of Ophiophagus hannah with a 27.3% contribution, followed by the Mean Diurnal Range and Urban/Built‐up areas. Jackknife analysis identified the Mean Diurnal Range as having the highest testing gain. Approximately 413,268 km2 were found to have the most suitable climatic conditions for sustaining this species. Countries such as India, Myanmar, Bangladesh, Vietnam, Cambodia, Indonesia, and Malaysia were identified as having favorable conditions. Under the future climate scenario SSP5‐8.5, the extent of suitable habitats (maximum) for the king cobra is projected to decrease in the periods 2041–2060 and 2081–2100. This report provides valuable insights that could inform conservation strategies for O. hannah in these regions.

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Section: Occurrence Pointsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Range‐wide prediction of habitat suitability for king cobras under current and future scenarios

Mukherjee,

Patra,

Hossain

2024

Integrative Conservation

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“…Out of 19 bioclimatic variables, 12 consensus landcover variables and one topographic variable ve variables were used to interpret the distribution pattern of Charaxes bernardus hierax in the studied geographic location (Table 1). During modeling species distribution by MaxEnt, default settings were used (Gupta et al 2022). Ten thousand background points were used to determine the MaxEnt distribution and all the occurrence points are used for training.…”

Section: Modeling Overviewmentioning

confidence: 99%

“…As variables are used with 30s resolution (1Km X 1Km) spatial thinning for the occurrence points (5km X 5Km) was done by using the spThin package in R v4.2.2 (R studio Team 2020)for removing the geographic biases (Gupta et al 2022). After that 13 occurrence points were used to developed the model (Fig.…”

Section: Modeling Overviewmentioning

confidence: 99%

Species Distribution Modeling of Variable Tawny Rajah (Charaxes bernardus hierax) in some unusual habitats of West Bengal, India: implications for conservation

Mukherjeeq,

Purohit,

Bag

et al. 2023

Preprint

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Lepidopteran species serve as one of the most important pollinators in ecosystem and this species also coevolved with their nectaring plants. They regarded as one of the good indicators of ecosystem health due to their high sensitivity to the changes in environmental variables. There are numerous butterfly and moth species are found in India whose possible distribution in the geographic areas yet to be known. In our present study we try to find out the predicted distribution area of Variable Tawny Rajah (Charaxes bernardus hierax) in West Bengal by the use MaxEnt 3.4.4 program. It was observed that northern part of West Bengal consists of greater areas that contain suitable environmental conditions (maximum and moderate) than southern part of West Bengal. The regions with > 304 mm and > 105 mm precipitation (bio 13 and bio 15) are considered to suitable for sustaining this species. This type of study may helps to provide an idea about predicted distribution of Charaxes bernardus hierax in West Bengal and selection of conservation strategies for this butterfly species in particular geographical region.

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Life table estimates of the invasive slug Deroceras laeve (O. F Müller, 1774) occurring in Darjeeling Himalayas, India

Gupta,

Paul,

Barman

et al. 2024

Trop Ecol

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The marsh slug, Deroceras laeve in Darjeeling Himalayas, India: First record and modelling of suitable habitats

Cited by 5 publications

References 36 publications

Range‐wide prediction of habitat suitability for king cobras under current and future scenarios

Range‐wide prediction of habitat suitability for king cobras under current and future scenarios

Species Distribution Modeling of Variable Tawny Rajah (Charaxes bernardus hierax) in some unusual habitats of West Bengal, India: implications for conservation

Life table estimates of the invasive slug Deroceras laeve (O. F Müller, 1774) occurring in Darjeeling Himalayas, India

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