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David J Hodgson

Biographic Data

ID5586699
NAMEDavid J Hodgson
GIVEN NAMESDavid J
FAMILY NAMEHodgson
SIGNATUREHODGSON D J
AFFILIATIONSUniversity of Exeter
ORCID0000-0003-4220-2076
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Stakeholder discourse coalitions and polarisation in the hen harrier conservation debate in news media

    Open Access•Filippo Marino, Sarah Crowley et al.•ARTICLE•People and Nature•2023

    Conservation conflicts are complex and can be deep‐rooted, with stakeholders holding entrenched policy positions. The actors involved producing verbal interconnected interactions that form policy debates. Thus, conservation debates can be viewed as network phenomena with stakeholders forming coalitions in support of, or opposition to, certain policies and practices. We used Discourse Network Analysis of print media to investigate the structure an…

  • Maasai pastoralists kill lions in retaliation for depredation of livestock by lions

    Open Access•Enoch Ontiri, Enoch M Ontiri et al.•ARTICLE•People and Nature•2019

    The borders of national parks in Kenya are hotspots for human–wildlife conflict. The deliberate killing of lions by Maasai pastoralists is illegal, but continues despite mitigation attempts. Currently, there is a somewhat pervasive opinion, within the human–wildlife conflict literature, that lions are killed by Maasai people either as cultural ceremony or indiscriminately in response to the loss of livestock. We reconsider the indiscriminate repu…

  • A brief introduction to mixed effects modelling and multi-model inference in ecology

    Open Access•Xavier A Harrison, Lynda Donaldson et al.•ARTICLE•PeerJ•2018

    The use of linear mixed effects models (LMMs) is increasingly common in the analysis of biological data. Whilst LMMs offer a flexible approach to modelling a broad range of data types, ecological data are often complex and require complex model structures, and the fitting and interpretation of such models is not always straightforward. The ability to achieve robust biological inference requires that practitioners know how and when to apply these …

No prominent works on this page.

  • A brief introduction to mixed effects modelling and multi-model inference in ecology

    Open Access•Xavier A Harrison, Lynda Donaldson et al.•ARTICLE•PeerJ•2018

    The use of linear mixed effects models (LMMs) is increasingly common in the analysis of biological data. Whilst LMMs offer a flexible approach to modelling a broad range of data types, ecological data are often complex and require complex model structures, and the fitting and interpretation of such models is not always straightforward. The ability to achieve robust biological inference requires that practitioners know how and when to apply these …

  • Maasai pastoralists kill lions in retaliation for depredation of livestock by lions

    Open Access•Enoch Ontiri, Enoch M Ontiri et al.•ARTICLE•People and Nature•2019

    The borders of national parks in Kenya are hotspots for human–wildlife conflict. The deliberate killing of lions by Maasai pastoralists is illegal, but continues despite mitigation attempts. Currently, there is a somewhat pervasive opinion, within the human–wildlife conflict literature, that lions are killed by Maasai people either as cultural ceremony or indiscriminately in response to the loss of livestock. We reconsider the indiscriminate repu…

  • Stakeholder discourse coalitions and polarisation in the hen harrier conservation debate in news media

    Open Access•Filippo Marino, Sarah Crowley et al.•ARTICLE•People and Nature•2023

    Conservation conflicts are complex and can be deep‐rooted, with stakeholders holding entrenched policy positions. The actors involved producing verbal interconnected interactions that form policy debates. Thus, conservation debates can be viewed as network phenomena with stakeholders forming coalitions in support of, or opposition to, certain policies and practices. We used Discourse Network Analysis of print media to investigate the structure an…

Species Distribution and Climate Change (2 works) · Wildlife Ecology and Conservation (2 works) · Agroforestry (1 works) · Animal Diversity and Health Studies (1 works) · Artificial Intelligence (1 works) · Bioinformatics (1 works) · Biological data (1 works) · Biology (1 works) · Carnivore (1 works) · Climate Change Communication and Perception (1 works)

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