Assisted Migration and Protected Area Boundary Adjustment as Climate Adaptation Strategies to Support the Survival of TSD Reptiles (Insights from Crocodylus palustris)

Document Type : Research Article

Authors

1 Department of Environmental Sciences, Faculty of Natural Resources, University of Zabol‎, ‎Zabol, Iran

2 Department of Environmental Sciences, Faculty of Fisheries and Environmental Sciences, Gorgan University of ‎Agricultural Sciences and Natural Resources, Gorgan, Iran

Abstract

Abstract
Climate change can have significant impacts on aquatic ecosystems and related species, especially reptiles with temperature-dependent sex determination (TDS). The present study aimed to investigate the possibility of assisted migration and protected area boundaries adjustment to support the survival of the marsh crocodile (Crocodylus palustris Lesson, 1831) under climate change influence. To achieve this, habitat suitability changes for marsh crocodile were projected under four climate scenarios up to the year 2070 to identify climate refuges. The modeling results showed that a part of the Gando Protected Area would remain suitable under the RCP2.6 scenario, while the entire area would become unsuitable under other scenarios. Therefore, relying on the current protected areas management cannot protect this species. Accordingly, management actions to facilitate assisted migration of this species are necessary. In this regard, a revised boundary for the Gando Protected Area was proposed based on the results, including: climate refuges, population critical areas, and areas with crocodile/human conflict, and consideration of the natural watersheds boundaries. Permanent plots were also considered to monitor the population of the marsh crocodile and prioritize feasibility studies for the species' transfer to new habitats.
Introduction
Climate change is one of the inevitable ecological changes that will have significant impacts on aquatic ecosystems and their dependent species, especially reptile species that have the characteristic of temperature-dependent sex determination (TDS). Therefore, the present study aimed to investigate the possibility of assisted migration and protected area boundaries adjustment to support the survival of the marsh crocodile (Crocodylus palustris Lesson, 1831) under climate change influence.
Material and Methods
Southeast Iran was selected as the study area, which includes the northwesternmost extent of the global distribution of the marsh crocodile. For this purpose, changes in the suitable habitat range of the marsh crocodile under four climate scenarios (RCP2.6, RCP4.5, RCP6.0 and RCP8.5) through the year 2070 were projected using maximum entropy modeling (MaxEnt) and bioclimatic variables from the KGClim_V1 data bank. The MTSS threshold was used to classify the habitat suitability layer based on historical data and future scenarios. The common suitable areas in historical and future data indicated climatic refuges for this species.
By overlaying Boolean layers representing potential changes in habitat suitability due to climate change with the Gando Protected Area layer- as the species’ main habitat- the feasibility of future species conservation was assessed through the designation of restoration zones or boundary adjustments of protected areas. The network of protected areas was also examined in supporting the survival of the species in the future.
In addition to analyzing the population trend using previous studies and expert opinions from field observations, critical population areas were also mapped based on changes in habitat suitability. For this purpose, based on the Boolean layers of historical and future habitat suitability, zones were classified from low-risk (suitable under both historical and all four future scenarios) to high-risk (suitable only under the historical and one future scenario).
To identify potential future human/crocodile conflicts, settlements (cities and villages) and road networks were overlaid with historically and future-predicted suitable habitat areas (areas common across all four climate scenarios).
Based on the results and the natural boundaries of watersheds, a revised boundary for the Gando Protected Area was proposed.
Also, permanent population monitoring plots for the species were identified in this area based on the results of the modeling and the species' presence. Finally, priority areas for conducting local studies on assisted migration were identified within the main watershed of the species' distribution and its neighboring watershed.
Results and Discussion
The modeling results showed that in all climate scenarios, an increase in the area of the suitable habitat area is expected by 2070, with the largest increase in the RCP2.6 scenario and the smallest in RCP6.0. It was also predicted that part of the Gando Protected Area would fall outside the suitable habitat under RCP2.6, and the entire area would become unsuitable under the other scenarios. Similarly, other protected areas will not fall within the projected suitable habitat areas.
Consequently, depending only on the management of protected areas or establishing restoration zones within them will not be enough to conserve this species. This phenomenon is attributed to temperature-dependent sex determination (TSD) in the species, where fluctuations in temperature can influence the sex ratio of hatchlings, potentially resulting in long-term changes in the population's structure and composition. Therefore, revising protected area boundary and implementing management strategies that support the assisted migration of this species are necessary conservation actions. In this regard, a revised boundary for the Gando Protected Area was proposed based on the results of modeling including: climate refuges, population critical areas, historical species distribution, crocodile/human conflict, and consideration of watershed boundaries.
The permanent plots were also located for monitoring the population of the marsh crocodile. Additionally, spatial prioritization for feasibility studies on the species’ assisted migration to new habitats was conducted in the southern Balochestan watershed—the primary distribution area of the species—and in the adjacent watershed (Bandar Abbas–Sedij). Projected areas of human/crocodile conflict by 2070 were also identified.
Conclusions
The present study was conducted to investigate the possibility of protecting the marsh crocodile in the Gando Protected Area, and showed that in addition to the Gando Protected Area, which is the main habitat of the species, the existing network of protected areas will not be effective in supporting the survival of the species in the future. Maintaining the current habitat configuration or defining a restoration zone within climatically unsuitable portions of the protected area will not be feasible, as these areas are projected to become unsuitable under future climate scenarios. Given the high probability of habitat suitability shifts, assisted migration will be inevitable for the survival of the species.
The ability of the marsh crocodile to move according to climate change will increase the human/crocodile conflicts, and therefore, the migration path of the species should be consciously paved through assisted migration.
Accordingly, based on the modeling conducted, critical population areas and climatic refuges for the species were located to show the human/crocodile conflicts, propose a revised boundary for the Gando Protected Area, population monitoring plots for this species, and prioritize target sites for local and field-based feasibility studies supporting the implementation of assisted migration actions.

Keywords

Main Subjects


©2025 The author(s). This is an open access article distributed under Creative Commons Attribution 4.0 International License (CC BY 4.0)

 

 

Abedin, I., Singha, H., Singh, S., Mukherjee, T., Kim, H-W., & Kundu S. (2025). Riverine Realities: Evaluating Climate Change Impacts on Habitat Dynamics of the Critically Endangered Gharial (Gavialis gangeticus) in the Indian Landscape. Animals, 15(6), 896. https://doi.org/10.3390/ani15060896
Abrahms, B., Carter, N. H., Clark-Wolf, T. J., Gaynor, K. M., Johansson, E., McInturff, A., ... & West, L. (2023). Climate change as a global amplifier of human–wildlife conflict. Nature Climate Change13(3), 224-234. https://doi.org/10.1038/s41558-023-01608-5
Abtin, A., & Mobaraki, A. (2016). Gandou: Marsh Crocodile in Iran. Tehran: Talaie Publication. [In Persian]
Bao, S., & Yang, F. (2024). Identification of potential habitats and adjustment of protected area boundaries for large wild herbivores in the Yellow-River-Source National Park, China. Land, 13(2), 186. https://doi.org/10.3390/land13020186
Benateau, S., Gaudard, A., Stamm, C., & Altermatt, F. (2019). Climate change and freshwater ecosystems: Impacts on water quality and ecological status. Eawag, Dübendorf. http://dx.doi.org/10.5167/uzh-169641
Bock, S. L., Lowers, R. H., Rainwater, T. R., Stolen, E., Drake, J. M., Wilkinson, P. M., ... & Parrott, B. B. (2020). Spatial and temporal variation in nest temperatures forecasts sex ratio skews in a crocodilian with environmental sex determination. Proceedings of the Royal Society B, 287(1926), 20200210. http://dx.doi.org/10.1098/rspb.2020.0210
Booth, T. A. (2022). Checking bioclimatic variables that combine temperature and precipitation data before their use in species distribution models. Austral Ecology, 47(5), 1–12. https://doi.org/10.1111/aec.13234
Chang, M. S., Gachal, G. S., Qadri, A. H., Memon, K. H., Sheikh, M. Y., & Nawaz, R. (2015). Distribution, population status and threats of marsh crocodiles in Chotiari Wetland Complex, Sanghar, Sindh–Pakistan. Biharean Biologist, 9(1), 22–28. https://api.semanticscholar.org/CorpusID:54764767
Cui, D., Liang, S., Wang, D., & Liu, Z. (2021). A 1 km global dataset of historical (1979–2017) and future (2020–2100) Köppen–Geiger climate classification and bioclimatic variables. Earth System Science Data Discussions, 1–33. https://doi.org/10.5194/essd2021-53
Dobrowski, S. Z., Littlefield, C. E., Lyons, D. S., Hollenberg, C., Carroll, C., Parks, S. A., ... & Gage, J. (2021). Protected-area targets could be undermined by climate change-driven shifts in ecoregions and biomes. Communications Earth & Environment2(1), 198. https://doi.org/10.1038/s43247-021-00270-z
Ducros, D., Devillers, R., Messager, A., Suet, M., Wachoum, A. S., Deschamps, C., ... & Defos du Rau, P. (2023). Planning from scratch: A new modelling approach for designing protected areas in remote, data‐poor regions. Journal of Applied Ecology60(9), 2018-2030. https://doi.org/10.1111/1365-2664.14470
Elbahi, A., Dugon, M., Oubrou, W., El Bekkay, M., Hermas, J., & Lawton, C. (2024). Modelling the ecological niches of reptiles in highly biodiverse protected areas. Geology, Ecology, and Landscapes, 1–22. https://doi.org/10.1080/24749508.2024.2429227
El-Khalafy, M. M., El-Kenany, E. T., Al-Mokadem, A. Z., Shaltout, S. K., & Mahmoud, A. R. (2025). Habitat suitability modeling to improve conservation strategy of two highly-grazed endemic plant species in saint Catherine Protectorate, Egypt. BMC Plant Biology, 25(1), 485. https://doi.org/10.1186/s12870-025-06401-4
Erfani, M., & Salmanmahiny, A. (2025). Habitat Management of Mugger Crocodile (Crocodylus palustris) through Regional- Scale Niche Modeling for Practical Conservation Planning. Journal of Environmental Studies, 51(1), 41-58. [In Persian] https://doi.org/10.22059/jes.2025.385203.1008549
Fick, S. E., & Hijmans, R. J. (2017). WorldClim 2: New 1 km spatial resolution climate surfaces for global land areas. International Journal of Climatology, 37(12), 4302–4315. https://doi.org/10.1002/joc.5086
Foden, W., Garcia, R., Platts, P., Carr, J., Hoffmann, A., & Visconti, P. (2016). Selecting and evaluating CCVA approaches and methods. In IUCN (Ed.), IUCN SSC guide lines for assessing species’ vulnerability to climate change (pp. 17–32). Cambridge and Gland: IUCN.
Giovanelli, J. G. R., Siqueira, M. F., Haddad, C. F. B., & Alexandrino, J. (2010). Modeling a spatially restricted distribution in the neotropics: How the size of calibration area affects the performance of five presence only methods. Ecological Modelling, 221, 215–224. http://dx.doi.org/10.1016/j.ecolmodel.2009.10.009
Grigg, G., & Kirshner, S. (2015). Biology and evolution of crocodylians. & London: Comstock Publishing Associates, Cornell University Press.
Hällfors, M. H., Aikio, S., Fronzek, S., Hellmann, J. J., Ryttäri, T., & Heikkinen, R. K. (2016). Assessing the need and potential of assisted migration using species distribution models. Biological Conservation, 196, 60–68. https://doi.org/10.1016/j.biocon.2016.01.031
Heydari, N., Ebrahim Tehrani, M., Hosseini, M. R., Mohammadpour, O., Jan Parvar, H., & Ali Hosseini, A. A. (2022). Population survey and census of marsh crocodile, Crocodylus palustris in SE Iran. Biodiversity and Animal Taxonomy, 2(1), 156-163. [In Persian] https://doi.org/10.22126/jbat.2022.8120.1025
Ihlow, F., Bonke, R., Hartmann, T., Geissler, P., Behler, N., & Rödder, D. (2015). Habitat suitability, coverage by protected areas and population connectivity for the Siamese crocodile Crocodylus siamensis Schneider, 1801. Aquatic Conservation: Marine and Freshwater Ecosystems, 25, 544–554. https://doi.org/10.1002/aqc.2473
Kafash, A., Kaboli, M., & Köhler, G. (2015). Comparison of future climatic change effects on desert  and mountain dwelling reptiles in Iran (Paralaudakia caucasia and Saara loricata). Journal of Animal Environment, 7(3), 103–108. [In Persian] https://doi.org/10.22059/jne.2017.214248.1232
Karger, D. N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R. W., ... & Kessler, M. (2017). Climatologies at high resolution for the earth’s land surface areas. Scientific Data4(1), 1-20. https://doi.org/10.1038/sdata.2017.122
Lambert, C., & Virgili, A. (2023). Data stochasticity and model parametrisation impact the performance of species distribution models: Insights from a simulation study. Peer Community Journal, 3(2), e34. http://dx.doi.org/10.24072/pcjournal.263
Li, Q., Shao, W., Jiang, Y., Yan, C., & Liao, W. (2024). Assessing Reptile Conservation Status under Global Climate Change. Biology, 13(6), 436. https://doi.org/10.3390/biology13060436
Merkenschlager, C., Bangelesa, F., Paeth, H., & Hertig, E. (2023). Blessing and curse of BioClim variables: A comparison of different calculation schemes and datasets for species distribution modeling within the extended Mediterranean area. Ecology and Evolution, 13(10), e10553. https://doi.org/10.1002/ece3.10553
Mobaraki, A. (2015). Sustainable management and conservation of the Mugger crocodile (Crocodylus palustris) in Iran (Unpublished MSc thesis). International University of Andalusia, Baeza, Spain.
Mobaraki, A., Erfani, M., Abtin, E., & Ataie, F. (2018). Assessing habitat suitability of the mugger crocodile using maximum entropy. Environmental Sciences, 16(4), 47-62. [In Persian] https://envs.sbu.ac.ir/article_97996.html
Mobaraki, A., Erfani, M., Abtin, E., Brito, J. C., Wei, C. T., Ziegler, T., & Rödder, D. (2023). Last chance to see? Iran and India as strongholds for the Mugger Crocodile (Crocodylus palustris). Salamandra, 59(4), 327–335. https://www.salamandra-journal.com/index.php/contents/2023-vol-59/2133-mobaraki-a-m-erfani-e-abtin-j-c-brito-w-c-tan-t-ziegler/file
Newbold, T., Oppenheimer, P., Etard, A., & Williams, J. J. (2020). Tropical and Mediterranean biodiversity is disproportionately sensitive to land-use and climate change. Nature Ecology & Evolution, 4(12), 1630–1638. https://doi.org/10.1038/s41559-020-01303-0
Phillips, S. J., Dudík, M., & Schapire, R. E. (2024). Maxent software for modeling species niches and distributions (Version 3.4.1). Retrieved March 24, 2024, from http://biodiversityinformatics.amnh.org/open_source/maxent/
Rödder, D., Engler, J. O., Bonke, R., Weinsheimer, F., & Pertel, W. (2010). Fading of the last giants: An assessment of habitat availability of the Sunda gharial Tomistoma schlegelii and coverage with protected areas. Aquatic Conservation: Marine and Freshwater Ecosystems, 20, 678–684. https://doi.org/10.1002/aqc.1137
Shafiezadeh, M., Moradi, H., Fakheran, S., & Pourmanafi, S. (2018). Modeling Focal-Species Habitat Suitability for Biodiversity Conservation Planning in the Southeastern Iran. Iranian Journal of Applied Ecology, 7(3), 51-66. [In Persian] http://doi.org/10.29252/ijae.7.3.51
Sinervo, B., Reséndiz, R. A. L., Miles, D. B., Lovich, J. E., Rosen, P. C., Gadsden, H., ... & de la Cruz, F. R. M. (2024). Climate change and collapsing thermal niches of desert reptiles and amphibians: Assisted migration and acclimation rescue from extirpation. Science of the Total Environment, 908, 168431. https://doi.org/10.1016/j.scitotenv.2023.168431
Urban, M. C. (2024). Climate change extinctions. Science386(6726), 1123-1128. https://doi.org/10.1126/science.adp4461
Vaissi, S. (2022). Response of Iranian lizards to future climate change by poleward expansion, southern contraction, and elevation shifts. Scientific Reports, 12, 2348. https://doi.org/10.1038/s41598-022-06330-4
Vasconcelos, R. N., Cantillo-Pérez, T., Franca Rocha, W. J., Aguiar, W. M., Mendes, D. T., de Jesus, T. B., ... & Oliveira, R. P. (2024). Advances and Challenges in Species Ecological Niche Modeling: A Mixed Review. Earth5(4), 963-989. https://doi.org/10.3390/earth5040050
Xiao, Q., Shi, X. D., Shi, L., Yao, Z. Y., Chen, Y. H., Yang, W. Z., ... & Qi, Y. (2025). Enhanced risk assessment framework integrating distribution dynamics, genetically inferred populations, and morphological traits of Diploderma lizards. Zoological Research, 46(1), 15-26. https://doi.org/10.24272/j.issn.2095-8137.2024.287
Xie, Y., Zhu, Q., Bai, H., He, H., & Zhang, Y. (2024). Combining ecosystem service value and landscape ecological risk to subdivide the riparian buffer zone of the Weihe River in Shaanxi. Ecological Indicators, 166, 112424. https://doi.org/10.1016/j.ecolind.2024.112424
Xu, R., Song, Q., Chen, D., & Guo, X. (2025). Lineage Diversification and Population Dynamics of the Qinghai Toad-Headed Agama (Phrynocephalus vlangalii) on the Qinghai–Tibet Plateau, with Particular Attention to the Northern Slope of the Kunlun–Arjin Mountains. Animals: an Open Access Journal from MDPI15(3), 400. https://doi.org/10.3390/ani15030400
Xu, W., & Prescott, C. E. (2024). Can assisted migration mitigate climate change impacts on forests? Forest Ecology and Management, 556, 121738. https://doi.org/10.1016/j.foreco.2024.121738
Yousefkhani, S. S. H., Aliabadian, M., Rastegar Pouyani, E., & Darvish, J. (2017). Predicting the impact of climate change on the distribution pattern of Agamura persica (Duméril, 1856) (Squamata: Gekkonidae) in Iran. Belgian Journal of Zoology, 147(2), 137–142. https://doi.org/10.26496/bjz.2017.11
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Articles in Press, Accepted Manuscript
Available Online from 10 September 2025
  • Receive Date: 14 July 2025
  • Revise Date: 24 August 2025
  • Accept Date: 04 September 2025