Research Article |
Corresponding author: Ali Gholamifard ( gholamifard.ali@gmail.com ) Academic editor: Yurii Kornilev
© 2023 Ali Gholamifard, Mehmet Kürşat Şahin.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Gholamifard A, Şahin MK (2023) Range dynamics of Walterinnesia morgani (Serpentes, Elapidae) during climatic oscillations in Iran. Herpetozoa 36: 317-324. https://doi.org/10.3897/herpetozoa.36.e107947
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Reptiles have a crucial part in maintaining global biodiversity and the functioning of dynamic ecosystems, owing to their ecological roles and functions. Nevertheless, these organisms are susceptible to human-induced disruptions and the deterioration of their habitats, leading to their categorization as the third most endangered group of vertebrates on a global scale. Understanding the spatial distribution of reptiles is crucial due to their often specific habitat needs and limited vagility. Morgan’s black cobra (Walterinnesia morgani) is a secretive venomous snake species that has thus far received little attention in Iranian scientific literature. The aim of the present study was to determine the existing distribution pattern of the cobra and to speculate on how climatic changes might affect it. Maximum entropy modeling was used to examine a dataset consisting of 16 occurrence records gleaned from field observations and the literature. The niche of the species was predicted using current and future climate change forecasts and bioclimatic and topographical characteristics. The models predicted a future reduction in the wide distribution region of W. morgani in southern and western Iran. It was discovered that climatic factors like temperature range, precipitation dynamics, and river proximity all played a key role in shaping the pattern of distribution. The predicted suitable areas for W. morgani were dependent on water sources; however, future scenarios showed a decline in suitable habitats. This study underscores the importance of conservation efforts in light of the potential implications of climate change on this species. To further understand the range shifts and adaptive strategies of the species, further study of its ecology and dispersal dynamics is required.
ecological niche, MaxEnt, Morgan’s black cobra, precipitation, topography
Reptiles, although they account for one-third of global terrestrial vertebrate diversity, have lagged behind other groups, such as birds and mammals, in terms of ecological studies (
Although reptile species are widely distributed throughout the world, they are at risk of extinction due to habitat loss and degradation, pollution, invasive species, diseases, and climate change (
The herpetofauna of Iran comprises 81 species of snakes belonging to 34 genera and 7 Families (
The genus Walterinnesia Lataste, 1887 has two species known commonly as desert black snakes or black desert cobras including the type species Walterinnesia aegyptia Lataste, 1887 and Walterinnesia morgani (Mocquard, 1905) (Fig.
Walterinnesia morgani, Morgan’s black cobra or black desert cobra, is a venomous snake species that inhabits the Arabian Peninsula (Kuwait and Saudi Arabia), the extreme south of Turkey, Syria, and the majority of Iraq, as well as western and southern Iran (Ilam, Kermanshah, Khuzestan, Bushehr, Fars, and Hormozgan Provinces) (
Black desert cobras display nocturnal activity patterns (
In spite of the known distribution of Morgan’s black cobra, W. morgani, (IUCN status is Least Concern (LC)) in the Central and Southern Zagros Mountains, and its medical importance (
This study was conducted within the borders of the Islamic Republic of Iran (25.08–39.77°N, 44.04–63.3°E; Fig.
Bioclimatic variables and one topographic layer (elevation) were downloaded from the CHELSA database (https://chelsa-climate.org/) at a spatial resolution of 30 arc-second raster grids (
Percentage contribution of the environmental layers used in species distribution modeling of Walterinnesia morgani.
Bio 2 mean diurnal air temperature range | Bio 7 annual range of air temperature | Bio 9 daily mean air temperatures of the driest quarter | Bio 14 precipitation amount of the driest month | Bio 15 precipitation seasonality | Bio 17 mean monthly precipitation amount of the driest quarter | d_river distance to river | elev elevation |
---|---|---|---|---|---|---|---|
10 | 4.3 | 27.7 | 0.4 | 14.7 | 1.1 | 31.9 | 10 |
All used variables were employed to predict the species niche under recent (1970–2000) and future (2071–2100) climate change projections (GFDL-ESM4, IPSL-CM6A-LR, MPI-ESM1-2-HR, MRI-ESM2-0, and UKESM1-0-LL) with the lowest and the highest limits of the shared socioeconomic pathways (SSPs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) as these models have the best performance for Eurasia (
Maximum entropy modeling was utilized since it is a robust method that can be applied to presence and pseudo-absence data. Based on presence and pseudo-absence data, this algorithm can predict the presence of a species with a probability between 0 and 1 (
In order to optimize the model complexity for the cobra species, 31 combinations of MaxEnt’s 5 feature classes [hinge (h), threshold (t), product (p), quadratic (q), and linear (l)] along with 17 regulation multiplier values (0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 2, 3, 4, 5, 6, 8, 10) were evaluated. This combination of options enabled us to find the best-fitting model representing our data by generating diverse candidate models (
The regions anticipated to be suitable for W. morgani exhibited a significant area under the curve (AUC) value of 0.955±0.014. Furthermore, the recent historical and future bioclimatic predictions (2071–2100) under the SSP126 and SSP585 scenarios had the lowest values for Akaike Information Criterion corrected (AICc) and the delta AICc at 0.169 and 0, respectively. (Figs
Future habitat suitability (2071–2100) of W. morgani in Iran based on A. GFDL-ESM4 under optimistic scenario (ssp 126); B. GFDL-ESM4 under pessimistic scenario (ssp 585); C. IPSL-CM6A-LR under optimistic scenario (ssp 126); D. IPSL-CM6A-LR under pessimistic scenario (ssp 585); E. MPI-ESM1-2- HR under optimistic scenario (ssp 126); F. MPI-ESM1-2- HR under pessimistic scenario (ssp 585); G. MRI-ESM2-0 under optimistic scenario (ssp 126); H. MRI-ESM2-0 under pessimistic scenario (ssp 585); I. UKESM1- 0-LL under optimistic scenario (ssp 126); J. UKESM1- 0-LL under pessimistic scenario (ssp 585) (warmer colors refer to high suitability level).
Summary for selecting the best model for species distribution maps of W. morgani via ‘kuenm’ package.
All candidate models | Statistically significant models | MaxEnt features | AICc | wAICc | Delta AICc | AUC | Mean AUC ratio |
---|---|---|---|---|---|---|---|
1054 | 1054 | linear, quadratic, product | 418.125 | 0.169 | 0.00 | 0.955±0.014 | 1.866 |
The fact that the AUC data were very close to 1 showed that the potential distribution area revealed by the locality data obtained from the distribution area of the desert cobra displayed a much better performance than a random prediction. For W. morgani, 1054 statistically significant models that had different regularization multipliers and feature classes were evaluated. Linear, quadratic and product (LQP) features along with a regularization multiplier of 0.8, and with the lowest delta AICc, was the best model. The most important variables were d_river (31.9%), Bio_9 (27.7%) and Bio_15 (14.7%), respectively.
According to the analysis, the potential distribution area of W. morgani covers a water source-dependent pattern in western Iran. Additionally, as can be seen in future climatic conditions, the potential distribution range would be narrower than under recent historical conditions. Habitat loss is expected in each future climatic scenario, but its level varies depending on the ssp level (Table
Species range change (SRC) of W. morgani in recently suitable habitats (gain/loss) by 2081–2100 under optimistic (ssp126) and pessimistic (ssp585) scenarios in different climate-change projections.
Percent loss | Percent gain | Species range change | |
---|---|---|---|
GFDL-ESM4 ssp 126 | 18.859 | 1.279 | -17.58 |
GFDL-ESM4 ssp 585 | 49.337 | 4.739 | -44.598 |
IPSL-CM6A-LR ssp 126 | 19.613 | 1.636 | -17.977 |
IPSL-CM6A-LR ssp 585 | 71.262 | 0.518 | -70.744 |
MPI-ESM1-2- HR ssp 126 | 13.15 | 3.336 | -9.814 |
MPI-ESM1-2- HR ssp 585 | 65.135 | 0.274 | -64.861 |
MRI-ESM2-0 ssp 126 | 19.854 | 5.286 | -14.568 |
MRI-ESM2-0 ssp 585 | 58.527 | 10.632 | -47.894 |
UKESM1- 0-LL ssp 126 | 30.247 | 12.219 | -18.028 |
UKESM1- 0-LL ssp 585 | 77.18 | 7.599 | -69.581 |
Numerous biotic and abiotic factors have significant impacts on the distribution of species (
Based on these results, most of the suitable predicted areas were slightly wider than the present potential distribution of W. morgani. This might be the possible effect of “d_river” as one of the highest contributors to shape the distribution pattern via the water requirement of the species. Additionally, daily and annual temperature cycles have also contributed to the potential distribution pattern as well as the seasonal factors, especially the driest seasonal precipitation dynamics. This overall bioclimatic and topographic pattern is observed in many herptile species in and nearby the study area (
On the other hand, our results show that there will be a future decrease in suitable habitats for W. morgani, but the level of the decreasing trend varies depending on the SSP levels and different future scenario sets (Suppl. material
When compared to other large vertebrate groups, the ability of reptiles to migrate is quite restricted (
On the other hand, the model algorithm that was used in this study did not take into account some parameters, such as parasitism, disease, habitat loss, and fragmentation that might affect the realistic distribution of the species (
A. Gholamifard and M.K. Şahin conceived the study. A. Gholamifard collected the field data and documentation. M.K. Şahin carried out the sampling design, statistical analysis and performed modeling. A. Gholamifard and M.K. Şahin contributed equally to writing the manuscript.
We thank Dr. Erica DeMilio for the proof reading and the respected anonymous reviewers and Editor Dr. Yurii Kornilev for improving the manuscript. We are grateful to Professor Aaron M. Bauer for editing the final version of this manuscript.
Species occurrence records of W. morgani in Iran from literature and our field trips
Data type: docx
Variables used for modeling the distribution of black desert cobra (Walterinnesia morgani)
Data type: docx
Climate forcing data and source for the CHELSA CMIP6 ISIMIP3 data
Data type: docx
Species range change (SRC) of W. morgani in recently suitable habitats (gain/loss) by 2081–2100 under optimistic (ssp126) and pessimistic (ssp585) scenarios
Data type: docx