The role of western‐based scientific, Indigenous and local knowledge in wildlife management and conservation

Kadykalo, Andrew N.; Cooke, Steven J.; Young, Nathan

doi:10.1002/pan3.10194

Cited by 52 publications

(45 citation statements)

References 80 publications

(139 reference statements)

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“…For example, undocumented knowledge may include evidence that cannot be tied to a specific source or justified by a mechanism or explanation, but is simply 'known' by the knowledge holder. This may include forms of Indigenous and Local Knowledge (ILK; Kadykalo et al, 2021b;Reyes-García and Benyei, 2019;Wheeler and Root-Bernstein, 2020), such as indigenous storytelling (Fernández-Llamazares and Cabeza, 2018). Undocumented knowledge will play a particularly important role when there is little or no evidence available from the scientific literature and where there is concern that the effectiveness of the conservation action may not transfer well to the decisionmaker's local context (Christie et al, 2020b;Gutzat and Dormann, 2020).…”

Section: Biii Undocumented Knowledgementioning

confidence: 99%

“…Embedding the use of evidence in practice and policy to inform conservation decisions is increasingly recognised as best practice to achieve desired conservation outcomes and protect species, genetic diversity, and habitats (Addison et al, 2016;Rose et al, 2019;Gillson et al, 2019;Kadykalo et al, 2021b;Sutherland et al, 2013;O'Brien et al in press). By learning from past successes and failures, we can understand how to do more of what works, and less of what does not work, reducing wasted resources previously spent on actions that are known to be ineffective, inefficient, or harmful (Sutherland et al, 2013(Sutherland et al, , 2020(Sutherland et al, , 2021.…”

Section: Introductionmentioning

confidence: 99%

“…A conservation practitioner planning to make a reasoned and informed decision using evidence needs to consider a variety of relevant information sources (Kadykalo et al, 2021b(Kadykalo et al, , 2021aSchwartz et al, 2018). Evidence in this decision-making context can be broadly defined as: 'Relevant information used to assess one or more hypotheses related to a question of interest' (Salafsky et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…undocumented (or tacit) knowledge (e.g., Indigenous People and Local Community (IPLC) knowledge and experience). Just as for peerreviewed scientific evidence, the reliability and relevance of the evidence they provide must be carefully assessed (Kadykalo et al, 2021b(Kadykalo et al, , 2021a.…”

Section: Introductionmentioning

confidence: 99%

“…In addition to evidence on the effectiveness of a conservation action, the costs and risks, feasibility, and acceptability to key stakeholders are also key factors to consider in decision-making (Kadykalo et al, 2021b). For example, consider the scenario of a conservation conflict involving the problem of controlling the numbers of geese to reduce crop damage in Scotland.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A practical conservation tool to combine diverse types of evidence for transparent evidence-based decision-making

Christie¹,

Downey²,

Frick³

et al. 2021

Preprint

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Making the reasoning and evidence behind conservation decisions clear and transparent is a key challenge for the conservation community. Similarly, combining evidence from diverse sources (e.g., scientific vs non-scientific information) into decision-making is also difficult. Our group of conservation researchers and practitioners has co-produced an intuitive tool and template (Evidence-to-Decision (E2D) tool: www.evidence2decisiontool.com) to guide practitioners through a structured process to transparently document and report the evidence and reasoning behind decisions. The tool has three major steps: 1. Define the Decision Context; 2. Gather Evidence; and 3. Make an Evidence-Based Decision. In each step, practitioners enter information (e.g., from the scientific literature, practitioner knowledge and experience, and costs) to inform their decision-making and document their reasoning. The tool packages this information into a customised downloadable report (or is documented if using the offline template), which we hope can stimulate the exchange of information on decisions within and between organisations. By enabling practitioners to revisit how and why past decisions were made, and integrate diverse forms of evidence, we believe our open-access tool’s template can help increase the transparency and quality of decision-making in conservation.

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Section: Biii Undocumented Knowledgementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A practical conservation tool to combine diverse types of evidence for transparent evidence-based decision-making

Christie¹,

Downey²,

Frick³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

Ethical considerations for conservation messaging research and practice

et al. 2022

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Weaving Indigenous and Western knowledge systems to discern drivers of mooz (moose) population decline

Priadka,

Moses,

Kozmik

et al. 2024

People and Nature

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Understanding and addressing biodiversity declines across the globe will require interdisciplinary practices that embrace multiple worldviews and weave knowledge systems. Here, we used a Two‐Eyed Seeing approach to weave Anishinaabe ecological knowledge with peer‐reviewed Western scientific literature to provide a comprehensive understanding of the drivers of a declining moose (mooz; Alces alces) population in Ontario, Canada. We interviewed 66 participants from three Anishinabek communities on the causes of moose decline and conducted a literature review of 52 Western‐science studies that focused on factors that affect moose in Ontario. Our study revealed that there was agreement among knowledge systems on the importance of climate change and disease and parasites in explaining moose population decline in Ontario. Unique perspectives were provided on the mechanisms describing climatic impacts on calf recruitment, with an emphasis on spring onset and green‐up by Western science, and winter onset and timing of the rut by Anishinaabe knowledge. Western science also focused on the effects of habitat disturbance and predation on moose, and Anishinaabe knowledge emphasised harvest pressure. Other factors identified by both knowledge systems included the impacts of roads and railways. Distinctive information offered by Anishinaabe knowledge holders included the displacement of moose from areas in response to the range expansion of white‐tailed deer (waawaashkeshi; Odocoileus virginianus) and the negative effects of contaminants introduced into the environment by mining and forestry activity. Overall, weaving knowledge systems offered a nuanced and wholistic understanding of factors affecting moose and provided different perspectives to explain interacting and cumulative effects. Our study showcases the value in weaving knowledge systems to improve understanding of ecological problems and find wholistic strategies for conservation. Read the free Plain Language Summary for this article on the Journal blog.

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The role of western‐based scientific, Indigenous and local knowledge in wildlife management and conservation

Abstract: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Cited by 52 publications

References 80 publications

A practical conservation tool to combine diverse types of evidence for transparent evidence-based decision-making

A practical conservation tool to combine diverse types of evidence for transparent evidence-based decision-making

Ethical considerations for conservation messaging research and practice

Weaving Indigenous and Western knowledge systems to discern drivers of mooz (moose) population decline

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