Predictors of elephant poaching in a wildlife crime hotspot: The Ruvuma landscape of southern Tanzania and northern Mozambique

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Predictors of elephant poaching in a wildlife crime hotspot : The Ruvuma landscape of southern Tanzania and northern Mozambique. / Zafra-Calvo, Noelia; Lobo, J.M.; Prada, C.; Nielsen, Martin Reinhardt; Burgess, Neil David.

In: Journal for Nature Conservation, Vol. 41, 2018, p. 79–87.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Zafra-Calvo, N, Lobo, JM, Prada, C, Nielsen, MR & Burgess, ND 2018, 'Predictors of elephant poaching in a wildlife crime hotspot: The Ruvuma landscape of southern Tanzania and northern Mozambique', Journal for Nature Conservation, vol. 41, pp. 79–87. https://doi.org/10.1016/j.jnc.2017.11.006

APA

Zafra-Calvo, N., Lobo, J. M., Prada, C., Nielsen, M. R., & Burgess, N. D. (2018). Predictors of elephant poaching in a wildlife crime hotspot: The Ruvuma landscape of southern Tanzania and northern Mozambique. Journal for Nature Conservation, 41, 79–87. https://doi.org/10.1016/j.jnc.2017.11.006

Vancouver

Zafra-Calvo N, Lobo JM, Prada C, Nielsen MR, Burgess ND. Predictors of elephant poaching in a wildlife crime hotspot: The Ruvuma landscape of southern Tanzania and northern Mozambique. Journal for Nature Conservation. 2018;41:79–87. https://doi.org/10.1016/j.jnc.2017.11.006

Author

Zafra-Calvo, Noelia ; Lobo, J.M. ; Prada, C. ; Nielsen, Martin Reinhardt ; Burgess, Neil David. / Predictors of elephant poaching in a wildlife crime hotspot : The Ruvuma landscape of southern Tanzania and northern Mozambique. In: Journal for Nature Conservation. 2018 ; Vol. 41. pp. 79–87.

Bibtex

@article{868a04748e3549b2b0371901ae961b15,
title = "Predictors of elephant poaching in a wildlife crime hotspot: The Ruvuma landscape of southern Tanzania and northern Mozambique",
abstract = "Understanding the spatial distribution of elephant carcasses in relation to ecological characteristics and human activities is critical to developing targeted management strategies for reducing poaching. We employ a spatial modelling approach to quantify the relative contribution of multiple climatic, ecological, human and protected area management predictors of the number of elephant carcasses in a recognized poaching hotspot: the Ruvuma landscape of northern Mozambique and southern Tanzania. This includes the Niassa Reserve in the south and the Selous Game Reserve in the north. In Mozambique, the number of elephant carcasses is positively associated with State-managed protected areas such as Niassa Reserve, but particularly with environmental variables including low rainfall and high temperatures. In Tanzania, elephant carcasses are positively associated with community-managed sites. A strong focus on effective management of protected areas in the Ruvuma landscape is crucial to reducing the killing of elephants.",
keywords = "African elephant, Community management, East Africa, Protected areas, Water availability",
author = "Noelia Zafra-Calvo and J.M. Lobo and C. Prada and Nielsen, {Martin Reinhardt} and Burgess, {Neil David}",
year = "2018",
doi = "10.1016/j.jnc.2017.11.006",
language = "English",
volume = "41",
pages = "79–87",
journal = "Journal for Nature Conservation",
issn = "1617-1381",
publisher = "Elsevier GmbH - Urban und Fischer",

}

RIS

TY - JOUR

T1 - Predictors of elephant poaching in a wildlife crime hotspot

T2 - The Ruvuma landscape of southern Tanzania and northern Mozambique

AU - Zafra-Calvo, Noelia

AU - Lobo, J.M.

AU - Prada, C.

AU - Nielsen, Martin Reinhardt

AU - Burgess, Neil David

PY - 2018

Y1 - 2018

N2 - Understanding the spatial distribution of elephant carcasses in relation to ecological characteristics and human activities is critical to developing targeted management strategies for reducing poaching. We employ a spatial modelling approach to quantify the relative contribution of multiple climatic, ecological, human and protected area management predictors of the number of elephant carcasses in a recognized poaching hotspot: the Ruvuma landscape of northern Mozambique and southern Tanzania. This includes the Niassa Reserve in the south and the Selous Game Reserve in the north. In Mozambique, the number of elephant carcasses is positively associated with State-managed protected areas such as Niassa Reserve, but particularly with environmental variables including low rainfall and high temperatures. In Tanzania, elephant carcasses are positively associated with community-managed sites. A strong focus on effective management of protected areas in the Ruvuma landscape is crucial to reducing the killing of elephants.

AB - Understanding the spatial distribution of elephant carcasses in relation to ecological characteristics and human activities is critical to developing targeted management strategies for reducing poaching. We employ a spatial modelling approach to quantify the relative contribution of multiple climatic, ecological, human and protected area management predictors of the number of elephant carcasses in a recognized poaching hotspot: the Ruvuma landscape of northern Mozambique and southern Tanzania. This includes the Niassa Reserve in the south and the Selous Game Reserve in the north. In Mozambique, the number of elephant carcasses is positively associated with State-managed protected areas such as Niassa Reserve, but particularly with environmental variables including low rainfall and high temperatures. In Tanzania, elephant carcasses are positively associated with community-managed sites. A strong focus on effective management of protected areas in the Ruvuma landscape is crucial to reducing the killing of elephants.

KW - African elephant

KW - Community management

KW - East Africa

KW - Protected areas

KW - Water availability

U2 - 10.1016/j.jnc.2017.11.006

DO - 10.1016/j.jnc.2017.11.006

M3 - Journal article

VL - 41

SP - 79

EP - 87

JO - Journal for Nature Conservation

JF - Journal for Nature Conservation

SN - 1617-1381

ER -

ID: 186415591