Applying species distribution models in public health research by predicting snakebite risk using venomous snakes' habitat suitability as an indicating factor

被引:25
|
作者
Yousefi, Masoud [1 ]
Kafash, Anooshe [1 ]
Khani, Ali [2 ]
Nabati, Nima [3 ]
机构
[1] Univ Tehran, Fac Nat Resources, Dept Environm Sci, Karaj, Iran
[2] Khorasan e Razavi Prov Off, Dept Environm, Mashhad, Razavi Khorasan, Iran
[3] Shahid Sadoughi Univ Med Sci, Shahid Sadoughi Hosp, Yazd, Iran
关键词
CLIMATE-CHANGE; POTENTIAL DISTRIBUTION; OPHIDIA VIPERIDAE; CONSERVATION; BITES; IRAN; MACROVIPERA; MANAGEMENT; GEOGRAPHY; ECOLOGY;
D O I
10.1038/s41598-020-74682-w
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Snakebite envenoming is an important public health problem in Iran, despite its risk not being quantified. This study aims to use venomous snakes' habitat suitability as an indicator of snakebite risk, to identify high-priority areas for snakebite management across the country. Thus, an ensemble approach using five distribution modelling methods: Generalized Boosted Models, Generalized Additive Models, Maximum Entropy Modelling, Generalized Linear Models, and Random Forest was applied to produce a spatial snakebite risk model for Iran. To achieve this, four venomous snakes' habitat suitability (Macrovipera lebetinus, Echis carinatus, Pseudocerastes persicus and Naja oxiana) were modelled and then multiplied. These medically important snakes are responsible for the most snakebite incidents in Iran. Multiplying habitat suitability models of the four snakes showed that the northeast of Iran (west of Khorasan-e-Razavi province) has the highest snakebite risk in the country. In addition, villages that were at risk of envenoming from the four snakes were identified. Results revealed that 51,112 villages are at risk of envenoming from M. lebetinus, 30,339 from E. carinatus, 51,657 from P. persicus and 12,124 from N. oxiana. Precipitation seasonality was identified as the most important variable influencing distribution of the P. persicus, E. carinatus and M. lebetinus in Iran. Precipitation of the driest quarter was the most important predictor of suitable habitats of the N. oxiana. Since climatic variables play an important role in shaping the distribution of the four venomous snakes in Iran, thus their distribution may alter with changing climate. This paper demonstrates application of species distribution modelling in public health research and identified potential snakebite risk areas in Iran by using venomous snakes' habitat suitability models as an indicating factor. Results of this study can be used in snakebite and human-snake conflict management in Iran. We recommend increasing public awareness of snakebite envenoming and education of local people in areas which identified with the highest snakebite risk.
引用
收藏
页数:11
相关论文
共 9 条
  • [1] Using individual-based models to develop invasive species risk assessments by predicting species habitat suitability
    Coulter, David P.
    Feiner, Zachary S.
    Coulter, Alison A.
    Diebel, Matthew W.
    JOURNAL OF APPLIED ECOLOGY, 2022, 59 (12) : 3083 - 3097
  • [2] Predicting Ambystoma ordinarium Habitat in Central Mexico Using Species Distribution Models
    Escalera-Vazquez, Luis H.
    Hernandez-Guzman, Rafael
    Soto-Rojas, Carlos
    Suazo-Ortuno, Ireri
    HERPETOLOGICA, 2018, 74 (02) : 117 - 126
  • [3] Predicting habitat suitability for rare plants at local spatial scales using a species distribution model
    Gogol-Prokurat, Melanie
    ECOLOGICAL APPLICATIONS, 2011, 21 (01) : 33 - 47
  • [4] Predicting the Habitat Suitability for Angelica gigas Medicinal Herb Using an Ensemble Species Distribution Model
    Jung, Jong Bin
    Park, Go Eun
    Kim, Hyun Jun
    Huh, Jeong Hoon
    Um, Yurry
    FORESTS, 2023, 14 (03):
  • [5] Predicting the Habitat Suitability and Distribution of Two Species of Mound-Building Termites in Nigeria Using Bioclimatic and Vegetation Variables
    Istifanus, Aiki P.
    Abdelmutalab, Azrag. G. A.
    Pirk, Christian W. W.
    Yusuf, Abdullahi A.
    DIVERSITY-BASEL, 2023, 15 (02):
  • [6] Predicting Environmental Suitability for a Rare and Threatened Species (Lao Newt, Laotriton laoensis) Using Validated Species Distribution Models
    Chunco, Amanda J.
    Phimmachak, Somphouthone
    Sivongxay, Niane
    Stuart, Bryan L.
    PLOS ONE, 2013, 8 (03):
  • [7] LIVES: a new habitat modelling technique for predicting the distribution of species' occurrences using presence-only data based on limiting factor theory
    Li, Jin
    Hilbert, David W.
    BIODIVERSITY AND CONSERVATION, 2008, 17 (13) : 3079 - 3095
  • [8] LIVES: a new habitat modelling technique for predicting the distribution of species’ occurrences using presence-only data based on limiting factor theory
    Jin Li
    David W. Hilbert
    Biodiversity and Conservation, 2008, 17 : 3079 - 3095
  • [9] Assessing extinction-risk of endangered plants using species distribution models: a case study of habitat depletion caused by the spread of greenhouses
    Benito, Blas M.
    Montserrat Martinez-Ortega, M.
    Munoz, Luz M.
    Lorite, Juan
    Penas, Julio
    BIODIVERSITY AND CONSERVATION, 2009, 18 (09) : 2509 - 2520