Crop variety and prey richness affect spatial patterns of human-wildlife conflicts in Iran's Hyrcanian forests

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

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Crop variety and prey richness affect spatial patterns of human-wildlife conflicts in Iran's Hyrcanian forests. / Meinecke, Laura; Soofi, Mahmood; Riechers, Maraja et al.
in: Journal for Nature Conservation, Jahrgang 43, 01.06.2018, S. 165-172.

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

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Meinecke L, Soofi M, Riechers M, Khorozyan I, Hosseini H, Schwarze S et al. Crop variety and prey richness affect spatial patterns of human-wildlife conflicts in Iran's Hyrcanian forests. Journal for Nature Conservation. 2018 Jun 1;43:165-172. doi: 10.1016/j.jnc.2018.04.005

Bibtex

@article{bd6ed5372e724be5ac97a69de4fcf931,
title = "Crop variety and prey richness affect spatial patterns of human-wildlife conflicts in Iran's Hyrcanian forests",
abstract = "Human-wildlife conflicts are a growing problem in Iran and pose a notable challenge to conservation efforts in its Hyrcanian forest region. We surveyed 162 households in 45 villages at six study sites to understand species-specific patterns of human-wildlife conflicts and people's reactions to these conflicts, and to suggest appropriate conflict mitigation measures. By using generalized linear and generalized linear mixed models, we analysed socio-economic and ecological variables to find key determinants of the main conflict types around seven species of mammals. We also incorporated prey richness data (i.e. red deer, roe deer and wild boar) in our models. Wild boar (Sus scrofa) and grey wolf (Canis lupus) were found to be the primary conflict species in regard to reported levels of severity and crop loss by wild boars was reported by 97% of households. Logistic regression showed that these conflicts were positively influenced by the variety of cultivated crop species and the size of land under cultivation. Generalized linear mixed models showed that human-wild boar conflicts increased in areas with lower human density, vegetation cover and distance to protected areas. Wolf conflicts were most frequent in the form of sheep attacks (81%) compared to goat (11%) and cattle (8%) attacks. Our analysis showed that the attacks were positively influenced by village and elevation and increased in areas with lower prey richness and those located closer to, or inside, protected areas. Several cost-effective mitigation measures should be used complementarily according to their effectiveness. These include avoiding planting of palatable seasonal crops near protected areas and establishing physical barriers around crop fields to lower large-scale crop damage by wild boars. To reduce livestock predation by wolf, it will be essential to address the restoration of the wild prey community and efficiency of animal husbandry practices.",
keywords = "Conservation measures, Crop damage, Iran, Livestock depredation, Mitigation, Protected areas, Ecosystems Research, Environmental planning",
author = "Laura Meinecke and Mahmood Soofi and Maraja Riechers and Igor Khorozyan and Hamid Hosseini and Stefan Schwarze and Matthias Waltert",
year = "2018",
month = jun,
day = "1",
doi = "10.1016/j.jnc.2018.04.005",
language = "English",
volume = "43",
pages = "165--172",
journal = "Journal for Nature Conservation",
issn = "1617-1381",
publisher = "Elsevier GmbH",

}

RIS

TY - JOUR

T1 - Crop variety and prey richness affect spatial patterns of human-wildlife conflicts in Iran's Hyrcanian forests

AU - Meinecke, Laura

AU - Soofi, Mahmood

AU - Riechers, Maraja

AU - Khorozyan, Igor

AU - Hosseini, Hamid

AU - Schwarze, Stefan

AU - Waltert, Matthias

PY - 2018/6/1

Y1 - 2018/6/1

N2 - Human-wildlife conflicts are a growing problem in Iran and pose a notable challenge to conservation efforts in its Hyrcanian forest region. We surveyed 162 households in 45 villages at six study sites to understand species-specific patterns of human-wildlife conflicts and people's reactions to these conflicts, and to suggest appropriate conflict mitigation measures. By using generalized linear and generalized linear mixed models, we analysed socio-economic and ecological variables to find key determinants of the main conflict types around seven species of mammals. We also incorporated prey richness data (i.e. red deer, roe deer and wild boar) in our models. Wild boar (Sus scrofa) and grey wolf (Canis lupus) were found to be the primary conflict species in regard to reported levels of severity and crop loss by wild boars was reported by 97% of households. Logistic regression showed that these conflicts were positively influenced by the variety of cultivated crop species and the size of land under cultivation. Generalized linear mixed models showed that human-wild boar conflicts increased in areas with lower human density, vegetation cover and distance to protected areas. Wolf conflicts were most frequent in the form of sheep attacks (81%) compared to goat (11%) and cattle (8%) attacks. Our analysis showed that the attacks were positively influenced by village and elevation and increased in areas with lower prey richness and those located closer to, or inside, protected areas. Several cost-effective mitigation measures should be used complementarily according to their effectiveness. These include avoiding planting of palatable seasonal crops near protected areas and establishing physical barriers around crop fields to lower large-scale crop damage by wild boars. To reduce livestock predation by wolf, it will be essential to address the restoration of the wild prey community and efficiency of animal husbandry practices.

AB - Human-wildlife conflicts are a growing problem in Iran and pose a notable challenge to conservation efforts in its Hyrcanian forest region. We surveyed 162 households in 45 villages at six study sites to understand species-specific patterns of human-wildlife conflicts and people's reactions to these conflicts, and to suggest appropriate conflict mitigation measures. By using generalized linear and generalized linear mixed models, we analysed socio-economic and ecological variables to find key determinants of the main conflict types around seven species of mammals. We also incorporated prey richness data (i.e. red deer, roe deer and wild boar) in our models. Wild boar (Sus scrofa) and grey wolf (Canis lupus) were found to be the primary conflict species in regard to reported levels of severity and crop loss by wild boars was reported by 97% of households. Logistic regression showed that these conflicts were positively influenced by the variety of cultivated crop species and the size of land under cultivation. Generalized linear mixed models showed that human-wild boar conflicts increased in areas with lower human density, vegetation cover and distance to protected areas. Wolf conflicts were most frequent in the form of sheep attacks (81%) compared to goat (11%) and cattle (8%) attacks. Our analysis showed that the attacks were positively influenced by village and elevation and increased in areas with lower prey richness and those located closer to, or inside, protected areas. Several cost-effective mitigation measures should be used complementarily according to their effectiveness. These include avoiding planting of palatable seasonal crops near protected areas and establishing physical barriers around crop fields to lower large-scale crop damage by wild boars. To reduce livestock predation by wolf, it will be essential to address the restoration of the wild prey community and efficiency of animal husbandry practices.

KW - Conservation measures

KW - Crop damage

KW - Iran

KW - Livestock depredation

KW - Mitigation

KW - Protected areas

KW - Ecosystems Research

KW - Environmental planning

UR - http://www.scopus.com/inward/record.url?scp=85047275079&partnerID=8YFLogxK

U2 - 10.1016/j.jnc.2018.04.005

DO - 10.1016/j.jnc.2018.04.005

M3 - Journal articles

AN - SCOPUS:85047275079

VL - 43

SP - 165

EP - 172

JO - Journal for Nature Conservation

JF - Journal for Nature Conservation

SN - 1617-1381

ER -

DOI