Andrew Kythreotis

@article{2130,

title = {Citizen Social Science for More Integrative and Effective Climate Action: A Science-Policy Perspective},

author = {AP. Kythreotis and CS Mantyka-Pringle and TG Mercer and L Whitmarsh and A Corner and J Paavola and C Chambers and BA Miller and N Castree},

doi = {10.3389/fenvs.2019.00010},

year  = {2019},

date = {2019-01-01},

journal = {Frontiers in Environmental Sciences},

abstract = {<p>Governments are struggling to limit global temperatures below the 2textdegreeC Paris target with existing climate change policy approaches. This is because conventional climate policies have been predominantly (inter)nationally top-down, which limits citizen agency in driving policy change and influencing citizen behavior. Here we propose elevating Citizen \textit{Social} Science (CSS) to a new level across governments as an advanced collaborative approach of accelerating climate action and policies that moves beyond conventional citizen science and participatory approaches. Moving beyond the traditional science-policy model of the democratization of science in enabling more inclusive climate policy change, we present examples of how CSS can potentially transform citizen behavior and enable citizens to become key agents in driving climate policy change. We also discuss the barriers that could impede the implementation of CSS and offer solutions to these. In doing this, we articulate the implications of increased citizen action through CSS in moving forward the broader normative and political program of transdisciplinary and co-productive climate change research and policy.</p>},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{1652,

title = {Bridging science and traditional knowledge to assess cumulative impacts of stressors on ecosystem health},

author = {Chrystal S Mantyka-Pringle and Timothy D Jardine and Lori Bradford and Lalita Bharadwaj and Andrew P Kythreotis and Jennifer Fresque-Baxter and Erin Kelly and Gila Somers and Lorne E Doig and Paul D Jones and Slave River & Delta Partnership},

doi = {DOI: 10.1016/j.envint.2017.02.008},

year  = {2017},

date = {2017-01-01},

abstract = {<p>Cumulative environmental impacts driven by anthropogenic stressors lead to disproportionate effects on indigenous communities that are reliant on land and water resources. Understanding and counteracting these effects requires knowledge from multiple sources. Yet the combined use of Traditional Knowledge (TK) and Scientific Knowledge (SK) has both technical and philosophical hurdles to overcome, and suffers from inherently imbalanced power dynamics that can disfavour the very communities it intends to benefit. In this article, we present a textquoterighttwo-eyed seeingtextquoteright approach for co-producing and blending knowledge about ecosystem health by using an adapted Bayesian Belief Network for the Slave River and Delta region in Canadatextquoterights Northwest Territories. We highlight how bridging TM and SK with a combination of field data, interview transcripts, existing models, and expert judgement can address key questions about ecosystem health when considerable uncertainty exists. SK indicators (e.g., bird counts, mercury in fish, water depth) were graded as moderate, whereas TM indicators (e.g., bird usage, fish aesthetics, changes to water flow) were graded as being poor in comparison to the past. SK indicators were predominantly spatial (i.e., comparing to other locations) while the TK indicators were predominantly temporal (i.e., comparing across time). After being populated by 16 experts (local harvesters, Elders, governmental representatives, and scientists) using both TK and SK, the model output reported low probabilities that the social-ecological system is healthy as it used to be. We argue that it is novel and important to bridge TM and SK to address the challenges of environmental change such as the cumulative impacts of multiple stressors on ecosystems and the services they provide. This study presents a critical social-ecological tool for widening the evidence-base to a more holistic understanding of the system dynamics of multiple environmental stressors in ecosystems and for developing more effective knowledge-inclusive partnerships between indigenous communities, researchers and policy decision-makers. This represents new transformational empirical insights into how wider knowledge discourses can contribute to more effective adaptive co-management governance practices and solutions for the resilience and sustainability of ecosystems in Northern Canada and other parts of the world with strong indigenous land tenure. (C) 2017 Elsevier Ltd. All rights reserved.</p>},

keywords = {},

pubstate = {published},

tppubtype = {article}

}