Research Article |
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Corresponding author: Mehmet Kürşat Şahin ( yasambilimci.kursat@gmail.com ) Academic editor: Yurii Kornilev
© 2025 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:
Şahin MK (2025) Ecological niches and climate-driven range shifts in Hemorrhois snakes: implications for biogeography. Herpetozoa 38: 191-204. https://doi.org/10.3897/herpetozoa.38.e151017
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Understanding the factors shaping species distributions is essential for predicting their responses to environmental change. The genus Hemorrhois (horseshoe whip snakes) comprises ecologically diverse colubrid snakes found across the Mediterranean Basin, North Africa, the Middle East, and Central Asia. Despite this broad range, their ecological niches and distributional dynamics remain understudied. This study employs ecological niche modeling (ENM) to assess the biogeography, niche differentiation, and potential climate-driven range shifts of H. algirus, H. hippocrepis, H. nummifer, and H. ravergieri under future climate scenarios. Using species occurrence data and bioclimatic variables, I constructed ensemble models to predict suitable habitats, evaluate niche overlap, and quantify potential range changes. Results indicate significant variation in climate-driven distributional responses among species. Hemorrhois algirus is projected to expand across North Africa, whereas H. hippocrepis, H. nummifer, and H. ravergieri may face range contractions under high-emission scenarios. Niche analyses suggest moderate overlap between H. algirus and H. hippocrepis, implying historical and ecological connectivity, while H. nummifer and H. ravergieri display distinct environmental preferences. Climatic and geographic barriers—such as the Sahara Desert, the Dardanelles and Istanbul Straits, the Alps, and the Pyrenees Mountains—play crucial roles in shaping their evolutionary trajectories. Given the increasing threats of climate change and habitat loss, this study underscores the need for conservation strategies prioritizing habitat connectivity, species-specific management, and climate refugia. By integrating ecological and evolutionary perspectives, this research contributes to understanding Mediterranean and Western Palearctic reptile biogeography and their responses to environmental change.
climate change, habitat loss, niche differentiation, Squamata, Western Palearctic
Species distributions and their ecological niches are shaped by a combination of historical biological and geological events, climatic fluctuations, and biotic interactions (
Climate change represents a significant threat to many reptilian taxa, particularly those with narrow ecological tolerances or fragmented distributions (
The genus Hemorrhois (Colubridae), commonly referred to as the horseshoe whip snakes, comprises four currently recognized species: Hemorrhois algirus, H. hippocrepis, H. nummifer, and H. ravergieri (
Despite their broad distributions, Hemorrhois snakes generally remain relatively understudied with regard to their ecological interactions and responses to environmental changes. The integration of species distribution modeling and niche differentiation assessments will clarify the role of climate in their speciation and habitat requirements for conservation planning. Given the increasing pressures of habitat destruction and climate change, future research should prioritize identifying key refugia, assessing population viability, and implementing conservation strategies that account for both regional and global threats to these snakes (
This study provides a comprehensive assessment of the biogeography and ecological niches of the genus Hemorrhois by integrating occurrence records, climatic variables, and predictive modeling techniques. I hypothesize that Hemorrhois species exhibit significant climatic niche differentiation corresponding to their ecological and biogeographic diversity and that climate change will drive species-specific range shifts. To test this hypothesis, I developed ENMs based on climatic variables and species occurrence data to (i) evaluate the relationship between current Hemorrhois distributions and observed climate and forecast potential future species distributions under different climate change scenarios (2081–2100) and (ii) measure and compare climatic niche divergence within the genus. These findings will contribute to a better understanding of Mediterranean and Palearctic reptile biogeography and offer insights into the resilience and adaptability of Hemorrhois species in the face of ongoing environmental transformations.
The study area encompasses the entire distributional range of Hemorrhois (20°W to 80°E longitude, 25° to 48°N latitude), spanning diverse ecosystems across Southern Europe (including the Iberian Peninsula), North Africa, the Middle East, and Central and Southwestern Asia (Fig.
Bioclimatic variables were obtained from the CHELSA database at a spatial resolution of 30 arc-seconds (
Pearson correlations among variables were computed using R v4.3 (
An ensemble model was developed to predict the potential suitable habitats of Hemorrhois species, utilizing six distinct algorithms: generalized linear model (GLM), generalized additive model (GAM), surface range envelope (SRE/BIOCLIM), domain model (DM), random forest (RF), and maximum entropy (MAXENT). This was implemented using the ENMTools and kuenm packages (
Model comparisons for species distribution of genus Hemorrhois according to AUC values.
| Species | GLM | GAM | RF | DM | BC | MaxEnt |
|---|---|---|---|---|---|---|
| H. algirus | 0.847 | 0.861 | 0.903 | 0.873 | 0.864 | 0.955 |
| H. hippocrepis | 0.861 | 0.829 | 0.888 | 0.851 | 0.910 | 0.943 |
| H. nummifer | 0.865 | 0.868 | 0.922 | 0.899 | 0.898 | 0.959 |
| H. ravergieri | 0.805 | 0.811 | 0.813 | 0.804 | 0.810 | 0.915 |
To ensure optimal model complexity, 341 candidate MAXENT models were tested using combinations of feature classes (hinge, threshold, product, quadratic, and linear) and regularization multipliers (ranging from 0.1 to 10). Feature class selection was based on previous studies demonstrating their role in controlling model complexity and preventing overfitting (
Subsequently, the 341 candidate MAXENT models were evaluated using a multi-criteria assessment framework. Optimal models were selected based on (i) the highest Area Under the Curve (AUC) values, (ii) the lowest Akaike Information Criterion corrected for small sample sizes (AICc) (
Summary statistics for the best models selected for species distribution maps of Hemorrhois species.
| Species | Feature | Candidate models | Statistically significant models | Mean AUC ratio | Partial ROC | Omission rate at 5% | AICc | ΔAICc | W AICc | AUC |
|---|---|---|---|---|---|---|---|---|---|---|
| H. algirus | product + threshold | 341 | 340 | 1.741 | 0 | 0.044 | 2891.214 | 0 | 0.914 | 0.955 |
| H. hippocrepis | quadratic+ product | 341 | 36 | 1.873 | 0 | 0.049 | 2893.732 | 0 | 1 | 0.943 |
| H. nummifer | linear + threshold | 341 | 175 | 1.729 | 0 | 0.039 | 6643.085 | 0 | 0.718 | 0.959 |
| H. ravergieri | product | 341 | 341 | 1.420 | 0 | 0.090 | 4873.719 | 0 | 1 | 0.915 |
| Species / Variable % | Bio 2 | Bio 3 | Bio 4 | Bio 5 | Bio 8 | Bio 9 | Bio 15 | Bio 18 |
|---|---|---|---|---|---|---|---|---|
| H. algirus | 5.1 | 31.9 | 15.5 | 0.9 | 4.4 | 3.7 | 7.1 | 31.4 |
| H. hippocrepis | 11.5 | 15.4 | 29.8 | 4.3 | 1.9 | 2.7 | 16.7 | 17.7 |
| H. nummifer | 15.6 | 0.8 | 11.9 | 7.7 | 19.5 | 6.8 | 25.1 | 12.6 |
| H. ravergieri | 13.9 | 4.1 | 34.1 | 18.3 | 5.5 | 4.1 | 4.8 | 15.2 |
Recent (1970–2000) and future (2081–2100) climatic suitability for Hemorrhois algirus based on different models under the optimistic (ssp126) and pessimistic (ssp585) scenarios. (a. Recent; b. GFDL 126; c. GFDL 585; d. IPSL 126; e. IPSL 585; f. MPI 126; g. MPI 585; h. MRI 126; i. MRI 585; j. UKESM 126; k. UKESM 585).
Recent (1970–2000) and future (2081–2100) climatic suitability for Hemorrhois hippocrepis based on different models under the optimistic (ssp126) and pessimistic (ssp585) scenarios. (a. Recent; b. GFDL 126; c. GFDL 585; d. IPSL 126; e. IPSL 585; f. MPI 126; g. MPI 585; h. MRI 126; i. MRI 585; j. UKESM 126; k. UKESM 585).
Recent (1970–2000) and future (2081–2100) climatic suitability for Hemorrhois nummifer based on different models under the optimistic (ssp126) and pessimistic (ssp585) scenarios. (a. Recent; b. GFDL 126; c. GFDL 585; d. IPSL 126; e. IPSL 585; f. MPI 126; g. MPI 585; h. MRI 126; i. MRI 585; j. UKESM 126; k. UKESM 585).
Recent (1970–2000) and future (2081–2100) climatic suitability for Hemorrhois ravergieri based on different models under the optimistic (ssp126) and pessimistic (ssp585) scenarios. (a. Recent; b. GFDL 126; c. GFDL 585; d. IPSL 126; e. IPSL 585; f. MPI 126; g. MPI 585; h. MRI 126; i. MRI 585; j. UKESM 126; k. UKESM 585).
To assess and visualize potential species range change (SRC) in Hemorrhois species under climate change scenarios, a spatial analysis approach was employed to generate maps depicting regions where species may experience gains or losses in suitable conditions. The metrics include “Loss” (the number of pixels anticipated to become unsuitable), “Absent” (the number of pixels expected to remain unsuitable), “Stable” (the number of pixels projected to remain suitable), and “Gain” (the number of pixels predicted to become suitable). These estimates are based on model predictions and do not directly represent the species’ actual area of occupancy, as they are derived from binarized model outputs using a specified threshold (
Species range change (SRC) of Hemorrhois species in recently suitable habitats (gain/loss) by 2081–2100 under optimistic (ssp126) and pessimistic (ssp585) scenarios.
| Species | Models | ssp 126 | ssp 585 | ||||
|---|---|---|---|---|---|---|---|
| Loss% | Gain% | SRC | Loss% | Gain% | SRC | ||
| H. algirus | GFDL | 24.835 | 51.704 | 26.869 | 37.479 | 87.835 | 50.356 |
| IPSL | 25.452 | 57.618 | 32.166 | 55.364 | 74.289 | 18.925 | |
| MPI | 16.785 | 39.717 | 22.932 | 66.008 | 52.168 | -13.840 | |
| MRI | 30.486 | 39.004 | 8.518 | 56.218 | 66.134 | 9.916 | |
| UKESM | 25.435 | 47.649 | 22.214 | 58.336 | 69.940 | 11.604 | |
| H. hippocrepis | GFDL | 29.754 | 7.031 | -22.723 | 33.283 | 14.912 | -18.371 |
| IPSL | 13.709 | 9.614 | -4.095 | 36.498 | 21.176 | -15.322 | |
| MPI | 4.987 | 16.539 | 11.552 | 79.754 | 9.542 | -70.212 | |
| MRI | 17.442 | 12.587 | -4.855 | 42.728 | 14.378 | -28.350 | |
| UKESM | 9.604 | 35.054 | 25.450 | 23.948 | 45.717 | 21.769 | |
| H. nummifer | GFDL | 48.962 | 12.032 | -36.930 | 93.914 | 26.065 | -67.849 |
| IPSL | 42.159 | 21.548 | -20.611 | 95.113 | 23.581 | -71.532 | |
| MPI | 20.834 | 25.842 | 5.008 | 97.441 | 9.971 | -87.470 | |
| MRI | 42.659 | 18.103 | -24.556 | 89.894 | 24.405 | -65.489 | |
| UKESM | 57.535 | 21.942 | -35.593 | 96.142 | 25.915 | -70.227 | |
| H. ravergieri | GFDL | 3.394 | 7.071 | 3.677 | 9.207 | 6.996 | -2.211 |
| IPSL | 8.979 | 3.204 | -5.775 | 20.203 | 6.109 | -14.094 | |
| MPI | 8.814 | 1.554 | -7.260 | 43.978 | 1.839 | -42.139 | |
| MRI | 13.606 | 4.423 | -9.183 | 10.183 | 8.210 | -1.973 | |
| UKESM | 32.516 | 0.716 | -31.800 | 40.609 | 1.086 | -39.523 | |
These metrics provide important insights into the potential impacts of climate change on the distribution of Hemorrhois species. The analysis of these metrics across different climate scenarios enables a thorough understanding of potential range shifts for each species (
To evaluate ecological niche differentiation among Hemorrhois species, I implemented a comprehensive analytical framework combining traditional overlap metrics with multivariate statistical techniques. First, I calculated Schoener’s D (difference-focused) and Hellinger’s I (similarity-focused) indices to quantify niche similarity, with values ranging from 0 (no overlap) to 1 (identical niches) (
Ecological niche models predicted distinct environmental suitability patterns among Hemorrhois species, with consistent outputs across algorithms. The performance evaluation of the models—based on AUC, AICc, partial ROC, and omission rates—indicated that all selected models demonstrated high predictive accuracy and statistical significance, supporting their reliability for subsequent analyses (Tables
Model projections under future climate scenarios suggest heterogeneous responses among Hemorrhois species, with some showing potential range expansions, others contractions, and a few maintaining relatively stable distributions (Figs
For H. algirus, Bio_3 (31.9%) and Bio_18 (31.4%) were the two most important variables affecting its potential distribution (Table
For H. hippocrepis, Bio_4 (29.8%) and Bio_18 (17.7%) were identified as the most influential variables shaping its potential distribution (Table
For H. nummifer, Bio_15 (25.1%) and Bio_8 (19.5%) were the most influential variables contributing to its potential distribution (Table
For H. ravergieri, Bio_4 (34.1%) and Bio_5 (18.3%) were the most influential variables shaping its potential distribution (Table
The comparative analysis of range shift patterns among Hemorrhois species revealed contrasting responses to projected climate change. Hemorrhois algirus is generally expected to expand its suitable range across North Africa, while H. hippocrepis, H. nummifer, and H. ravergieri are projected to experience significant range contractions under pessimistic climate scenarios. The degree of projected range loss was highest for H. nummifer and H. ravergieri, particularly in regions of complex topography and aridification, suggesting species-specific sensitivity to climatic variables and geographic constraints.
The measured niche overlaps among all species are presented in Table
This study provides a comprehensive examination of the ecological niche attributes and future range dynamics of four Hemorrhois species. The biogeographical patterns of these species are influenced by both historical and contemporary ecological processes. The presence of H. hippocrepis in the western Mediterranean, for instance, suggests a complex history of dispersal and vicariance events (
These contrasting responses to climate change may reflect differences in environmental plasticity, which influence each species’ ability to tolerate or adapt to changing conditions. Species occupying broader climatic niches (H. algirus) are more resilient, while those reliant on mesic or montane habitats (H. nummifer, H. ravergieri) show heightened vulnerability. Insular and coastal specialists (H. hippocrepis) are additionally constrained by limited dispersal options. These findings highlight that ecological generalists may fare better under climate change, whereas specialists are at greater risk.
Hemorrhois algirus occupies broad arid and semi-arid habitats in North Africa and is projected to expand its range under future climate scenarios. Its adaptation to harsh environmental conditions, along with ecological flexibility, likely confers resilience to increasing temperatures and habitat changes. In contrast, H. hippocrepis, which inhabits coastal and insular Mediterranean regions, is expected to experience moderate range contraction. Geographic isolation on islands and shorelines, coupled with limited dispersal ability, may make this species more vulnerable to habitat loss and climate-driven shifts.
Hemorrhois nummifer, distributed across mesic habitats in the Levant, shows the highest projected range contraction. Its dependence on relatively humid conditions renders it particularly sensitive to the aridification trends forecasted under future scenarios. Similarly, H. ravergieri, which occupies montane and steppe habitats in Western and Central Asia, is projected to lose a substantial portion of its range—especially in high-altitude regions, which are disproportionately affected by temperature increases.
These observed patterns are consistent with findings in other reptilian taxa. Genera Timon and Lacerta exhibit niche conservatism and gradual phenotypic shifts linked to historical climatic stability (
Given the projections of range contraction for several Hemorrhois species, conservation strategies must prioritize habitat connectivity, preservation of climatic refugia, and management of cross-border habitats. Adaptive conservation planning tailored to each species’ ecological needs will be crucial. Species like H. algirus may benefit from proactive habitat expansion opportunities, whereas H. nummifer and H. ravergieri will require strategies to mitigate habitat fragmentation and loss.
This study also conducted niche analyses to assess the ecological niche overlap among four Hemorrhois species. The results demonstrated a range of niche differentiation—from low to moderate to substantial—reflecting varying degrees of ecological specialization within the genus. The identity and background tests provide insights into niche dynamics, revealing statistical support for niche overlap in only 2 of 8 pairwise comparisons (Table
| Hemorrhois comparisons | Identity test | Background test (asymmetric) | Background test (symmetric) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| D0 | D1 | I0 | I1 | D0 | D1 | I0 | I1 | D0 | D1 | I0 | I1 | |
| algirus vs. hippocrepis | 0.429 | 0.830 | 0.716 | 0.976 | 0.454 | 0.674 | 0.744 | 0.901 | 0.446 | 0.689 | 0.728 | 0.898 |
| algirus vs. nummifer | 0.275 | 0.727 | 0.551 | 0.918 | - | - | - | - | - | - | - | - |
| algirus vs. ravergieri | 0.290 | 0.843 | 0.565 | 0.978 | - | - | - | - | - | - | - | - |
| hippocrepis vs. nummifer | 0.273 | 0.854 | 0.567 | 0.969 | - | - | - | - | - | - | - | - |
| hippocrepis vs. ravergieri | 0.387 | 0.833 | 0.672 | 0.978 | - | - | - | - | - | - | - | - |
| nummifer vs. ravergieri | 0.560 | 0.870 | 0.833 | 0.985 | 0.578 | 0.582 | 0.853 | 0.846 | 0.563 | 0.584 | 0.819 | 0.807 |
The case of niche overlap in parapatric speciation, as illustrated by the comparisons between H. hippocrepis and H. algirus and between H. nummifer and H. ravergieri, requires further discussion due to the restricted distributions of southern Europe and North Africa for H. hippocrepis and H. algirus and the Eastern Mediterranean and Western Asia for H. nummifer and H. hippocrepis. The utilization of the niche is significantly influenced by various ecological interactions. Therefore, incorporating data on diverse selective regimes may aid in analyzing the speciation dynamics of these parapatric species (
These findings suggest that, although certain species have established unique ecological niches, a general pattern of niche conservatism is evident within the Hemorrhois genus. This tendency toward niche conservatism supports the theory that speciation in Hemorrhois may be influenced by the preservation of ancestral ecological features, in line with results reported for other reptile groups (e.g.,
It is important to interpret these findings with caution, given the inherent limitations of correlative ENMs, which do not incorporate factors such as dispersal constraints, physiological tolerances, or species interactions (
This study presents a species-level evaluation of ecological niches and projected future distributions for Hemorrhois snakes using correlative ecological niche models based on bioclimatic variables. The projections indicate that H. algirus may experience range expansion under future climate conditions, whereas H. nummifer and H. ravergieri are likely to face substantial habitat reductions. These outcomes should be interpreted within the scope of the modeling framework, as correlative ENMs do not incorporate physiological tolerances, dispersal limitations, or biotic interactions. The results suggest that niche differentiation has occurred among species within the genus, with varied ecological preferences likely shaped by historical isolation and climatic gradients. The evolutionary history of Hemorrhois species appears to have been influenced by past climatic fluctuations and geographic obstacles such as deserts, mountain systems, and sea barriers. Areas identified as climatically stable under both current and future scenarios may represent important climate refugia that could support long-term population persistence. These findings support the prioritization of such regions in conservation planning and emphasize the need to integrate ecological modeling with physiological, genetic, and dispersal-based approaches in future research.
I thank Mr. Hanley Garner for proofreading and Assoc. Prof. Muammer Kurnaz, the respected anonymous reviewers, and the section editor for their valuable suggestions.
Raw species occurrence records of Hemorrhois species from literature, online source databases, and personal trips
Data type: docx
Mobility-Oriented Parity (MOP) analysis for projected distribution of Hemorrhois algirus under future climate conditions
Data type: tiff
Mobility-Oriented Parity (MOP) analysis for projected distribution of Hemorrhois hippocrepis under future climate conditions
Data type: tiff
Mobility-Oriented Parity (MOP) analysis for projected distribution of Hemorrhois nummifer under future climate conditions
Data type: tiff
Mobility-Oriented Parity (MOP) analysis for projected distribution of Hemorrhois ravergieri under future climate conditions
Data type: tiff
Species range change (SRC) of Hemorrhois species in recently suitable habitats
Data type: tiff
Results of identity tests for each Hemorrhois species
Data type: tiff
Results of asymmetric and symmetric background similarity tests for each parapatric Hemorrhois species
Data type: tiff