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Integrating snake distribution, abundance and expert‐derived behavioural traits predicts snakebite risk

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Integrating snake distribution, abundance and expert‐derived behavioural traits predicts snakebite risk. / Martín, Gerardo; Erinjery, Joseph; Gumbs, Rikki et al.
In: Journal of Applied Ecology, Vol. 59, No. 2, 28.02.2022, p. 611-623.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Martín, G, Erinjery, J, Gumbs, R, Somaweera, R, Ediriweera, D, Diggle, PJ, Kasturiratne, A, de Silva, HJ, Lalloo, DG, Iwamura, T & Murray, KA 2022, 'Integrating snake distribution, abundance and expert‐derived behavioural traits predicts snakebite risk', Journal of Applied Ecology, vol. 59, no. 2, pp. 611-623. https://doi.org/10.1111/1365-2664.14081

APA

Martín, G., Erinjery, J., Gumbs, R., Somaweera, R., Ediriweera, D., Diggle, P. J., Kasturiratne, A., de Silva, H. J., Lalloo, D. G., Iwamura, T., & Murray, K. A. (2022). Integrating snake distribution, abundance and expert‐derived behavioural traits predicts snakebite risk. Journal of Applied Ecology, 59(2), 611-623. https://doi.org/10.1111/1365-2664.14081

Vancouver

Martín G, Erinjery J, Gumbs R, Somaweera R, Ediriweera D, Diggle PJ et al. Integrating snake distribution, abundance and expert‐derived behavioural traits predicts snakebite risk. Journal of Applied Ecology. 2022 Feb 28;59(2):611-623. Epub 2021 Nov 19. doi: 10.1111/1365-2664.14081

Author

Martín, Gerardo ; Erinjery, Joseph ; Gumbs, Rikki et al. / Integrating snake distribution, abundance and expert‐derived behavioural traits predicts snakebite risk. In: Journal of Applied Ecology. 2022 ; Vol. 59, No. 2. pp. 611-623.

Bibtex

@article{eede3f7c11c24d88ae40b44327560843,
title = "Integrating snake distribution, abundance and expert‐derived behavioural traits predicts snakebite risk",
abstract = "Abstract: Despite important implications for human health, distribution, abundance and behaviour of most medically relevant snakes remain poorly understood. Such data deficiencies hamper efforts to characterise the causal pathways of snakebite envenoming and to prioritise management options in the areas at greatest risk. We estimated the spatial patterns of abundance of seven medically relevant snake species from Sri Lanka, a snakebite hotspot, and combined them with indices of species' relative abundance, aggressiveness and envenoming severity obtained from an expert opinion survey, to test whether these fundamental ecological traits could explain spatial patterns of snakebite and envenoming incidence. The spatial intensity of snake occurrence records in relation to independent environmental factors (fundamental niches and land cover) was analysed with point process models. Then, with the estimated patterns of abundance, we tested which species' abundances added together, with and without weightings for aggressiveness, envenoming severity and relative abundance, best correlate with per capita geographic incidence patterns of snakebite and envenoming. We found that weighting abundance patterns by species' traits increased correlation with incidence. The best performing combination had three species weighted by aggressiveness and abundance, with a correlation of r = 0.47 (p <0.01) with snakebite incidence. An envenoming severity and relative abundance‐weighted combination of two species was the most strongly associated with envenoming incidence (r = 0.46, p = 0). Synthesis and applications. We show that snakebite risk is explained by abundance, aggressiveness and envenoming severity of the snake species most frequently involved in envenoming cases. Incorporating causality via ecological information of key snake species is critical for snakebite risk mapping, helping to tailor preventive measures for dominant snake species and deploying the necessary antivenom therapies.",
keywords = "Biodiversity ecology, Community ecology, Disease ecology, Human ecology, Population ecology, Spatial ecology, RESEARCH ARTICLE, RESEARCH ARTICLES, abundance, aggressiveness, fundamental niches, neglected tropical diseases, occurrence data, point process models, snakebite envenoming",
author = "Gerardo Mart{\'i}n and Joseph Erinjery and Rikki Gumbs and Ruchira Somaweera and Dileepa Ediriweera and Diggle, {Peter J.} and Anuradhani Kasturiratne and {de Silva}, {Hithanadura J.} and Lalloo, {David G.} and Takuya Iwamura and Murray, {Kris A.}",
year = "2022",
month = feb,
day = "28",
doi = "10.1111/1365-2664.14081",
language = "English",
volume = "59",
pages = "611--623",
journal = "Journal of Applied Ecology",
issn = "0021-8901",
publisher = "Blackwell Publishing Ltd",
number = "2",

}

RIS

TY - JOUR

T1 - Integrating snake distribution, abundance and expert‐derived behavioural traits predicts snakebite risk

AU - Martín, Gerardo

AU - Erinjery, Joseph

AU - Gumbs, Rikki

AU - Somaweera, Ruchira

AU - Ediriweera, Dileepa

AU - Diggle, Peter J.

AU - Kasturiratne, Anuradhani

AU - de Silva, Hithanadura J.

AU - Lalloo, David G.

AU - Iwamura, Takuya

AU - Murray, Kris A.

PY - 2022/2/28

Y1 - 2022/2/28

N2 - Abstract: Despite important implications for human health, distribution, abundance and behaviour of most medically relevant snakes remain poorly understood. Such data deficiencies hamper efforts to characterise the causal pathways of snakebite envenoming and to prioritise management options in the areas at greatest risk. We estimated the spatial patterns of abundance of seven medically relevant snake species from Sri Lanka, a snakebite hotspot, and combined them with indices of species' relative abundance, aggressiveness and envenoming severity obtained from an expert opinion survey, to test whether these fundamental ecological traits could explain spatial patterns of snakebite and envenoming incidence. The spatial intensity of snake occurrence records in relation to independent environmental factors (fundamental niches and land cover) was analysed with point process models. Then, with the estimated patterns of abundance, we tested which species' abundances added together, with and without weightings for aggressiveness, envenoming severity and relative abundance, best correlate with per capita geographic incidence patterns of snakebite and envenoming. We found that weighting abundance patterns by species' traits increased correlation with incidence. The best performing combination had three species weighted by aggressiveness and abundance, with a correlation of r = 0.47 (p <0.01) with snakebite incidence. An envenoming severity and relative abundance‐weighted combination of two species was the most strongly associated with envenoming incidence (r = 0.46, p = 0). Synthesis and applications. We show that snakebite risk is explained by abundance, aggressiveness and envenoming severity of the snake species most frequently involved in envenoming cases. Incorporating causality via ecological information of key snake species is critical for snakebite risk mapping, helping to tailor preventive measures for dominant snake species and deploying the necessary antivenom therapies.

AB - Abstract: Despite important implications for human health, distribution, abundance and behaviour of most medically relevant snakes remain poorly understood. Such data deficiencies hamper efforts to characterise the causal pathways of snakebite envenoming and to prioritise management options in the areas at greatest risk. We estimated the spatial patterns of abundance of seven medically relevant snake species from Sri Lanka, a snakebite hotspot, and combined them with indices of species' relative abundance, aggressiveness and envenoming severity obtained from an expert opinion survey, to test whether these fundamental ecological traits could explain spatial patterns of snakebite and envenoming incidence. The spatial intensity of snake occurrence records in relation to independent environmental factors (fundamental niches and land cover) was analysed with point process models. Then, with the estimated patterns of abundance, we tested which species' abundances added together, with and without weightings for aggressiveness, envenoming severity and relative abundance, best correlate with per capita geographic incidence patterns of snakebite and envenoming. We found that weighting abundance patterns by species' traits increased correlation with incidence. The best performing combination had three species weighted by aggressiveness and abundance, with a correlation of r = 0.47 (p <0.01) with snakebite incidence. An envenoming severity and relative abundance‐weighted combination of two species was the most strongly associated with envenoming incidence (r = 0.46, p = 0). Synthesis and applications. We show that snakebite risk is explained by abundance, aggressiveness and envenoming severity of the snake species most frequently involved in envenoming cases. Incorporating causality via ecological information of key snake species is critical for snakebite risk mapping, helping to tailor preventive measures for dominant snake species and deploying the necessary antivenom therapies.

KW - Biodiversity ecology

KW - Community ecology

KW - Disease ecology

KW - Human ecology

KW - Population ecology

KW - Spatial ecology

KW - RESEARCH ARTICLE

KW - RESEARCH ARTICLES

KW - abundance

KW - aggressiveness

KW - fundamental niches

KW - neglected tropical diseases

KW - occurrence data

KW - point process models

KW - snakebite envenoming

U2 - 10.1111/1365-2664.14081

DO - 10.1111/1365-2664.14081

M3 - Journal article

VL - 59

SP - 611

EP - 623

JO - Journal of Applied Ecology

JF - Journal of Applied Ecology

SN - 0021-8901

IS - 2

ER -