Food Security and Wildlife Management in Nunavut

Lysenko, Dmitry; Schott, Stephan

doi:10.2139/ssrn.3141873

Cited by 5 publications

(11 citation statements)

References 9 publications

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“…These assumptions represent a simplification of the food system for analysis, which is a food system often characterized by highly unequal harvesting efforts (ranging from non-hunters to "super hunters", Chabot, 2003:19;Lysenko and Schott, 2019: Fig. 6) and within which country food accessibility that are partially but not fully equalized by food-sharing traditions (Ready and Power, 2018;Lysenko and Schott, 2019).…”

Section: Country Food Available Energy and Protein In Relation To Rdamentioning

confidence: 99%

“…The lifeways of Indigenous Peoples and northern regions connect economy and environment (Kuokkanen, 2011), food and wildlife (Kuhnlein and Humphries, 2017), and the health of the people to the health of the land (Dudley et al, 2015). Communicating value and status across these pluralities is always difficult because they are segregated in contemporary governance, policy, and assessment (Lysenko and Schott, 2019) but is often essential to describe collective wealth and well-being, to quantify trade-offs, and to consider compensation when one system is compromised for another. Nevertheless, cross-system valuations are contested and controversial.…”

Section: Introductionmentioning

confidence: 99%

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Valuation of Country Food in Nunavut Based on Energy and Protein Replacement

Warltier¹,

Landry‐Cuerrier²,

Humphries³

2021

ARCTIC

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Communicating value across the pluralities of Indigenous Peoples’ food systems requires attention to economy and environment, food and wildlife, and the health of the people and that of the land. Valuation of distinct entities is always difficult but often essential to describe collective wealth and well-being, to quantify trade-offs, and to consider compensation when one is compromised for another. Here we estimate the replacement value of Nunavut country food by combining information on the amount and nutritional composition of harvested country food with the nutritional content and local price of store-bought food. Comparing the five-year average of energy and protein available in reported harvest to recommended dietary allowances indicates that 17 of 21 Nunavut communities harvest enough country food to satisfy the protein requirements of all community members. Nunavut’s country food system annually harvests five million kg of protein-rich food from across the territory, which would cost $198 million to purchase as store-bought protein, with a replacement value between $13.19 and $39.67 per kg depending on energy versus protein replacement and the inclusion versus exclusion of store-bought food subsidies. These valuations are higher than most previous estimates of local food value because they are more reflective of the energy and nutrient richness of country food and the high price of store-bought food in northern communities. The country food system is priceless in many, profound ways; better awareness of its energy and protein cost of replacement, together with the breadth of its nutritional and cultural value, may help to ensure local food systems are prioritized in northern food security and economic development initiatives.

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Section: Country Food Available Energy and Protein In Relation To Rdamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Valuation of Country Food in Nunavut Based on Energy and Protein Replacement

Warltier¹,

Landry‐Cuerrier²,

Humphries³

2021

ARCTIC

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“…The initial plan was to conduct a small survey with active harvesters. Analysis of previous harvest studies including the Nunavut Wildlife Harvest Study (NWHS; see Priest and Usher 2004;Lysenko and Schott 2019) as well as a pilot study of the initial survey revealed that the scale of the survey would need to increase to adequately address the research objectives. As such, additional funding was needed to support this endeavor.…”

Section: Country Food Distribution and The Economics Of Hunting And Fmentioning

confidence: 99%

Operationalizing knowledge coevolution: towards a sustainable fishery for Nunavummiut

Schott

Qitsualik²,

Groot

et al. 2020

Arctic Science

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Knowledge coevolution is the process through which information is generated by joining knowledge systems in an inclusive and iterative way to facilitate self-determination of communities and promote cultural resilience. A central and practical component of this framework is the fostering of progress towards improved co-management and community led research. Here we illustrate a knowledge coevolution framework in the context of a major five-year genomics and food security fishery research project in Gjoa Haven, Nunavut. We highlight the process, changes in research objectives, logistical requirements, mutual benefits, and challenges associated with Northern collaborative research, and what lessons we have learned from the process. Knowledge coevolution could be linked to more inclusive and effective fishery co-management in Nunavut and possibly elsewhere. Further, the research process appears to have reinforced Indigenous Knowledge and western science without merging these distinct knowledge systems. Here we strive to provide readers with concrete examples of knowledge coevolution and encourage research groups to incorporate and improve these practices in future projects and in adaptive fishery co-management. We further call on funding agencies to place more value, and thus budgetary priority, on activities related to ongoing consultation, engagement, dissemination, and implementation of project outcomes.

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“…Human interventions are becoming more common in management of environmental and ecological system dynamics, such as extermination of invasive species [1] and harvesting regulation of biological resources [2]. Establishment of management policies of the system dynamics from the viewpoint of both cost-effectiveness and feasibility is an indispensable topic.…”

Section: Introductionmentioning

confidence: 99%

Non-Local Fokker-Planck Equation of Imperfect Impulsive Interventions and its Effectively Super-Convergent Numerical Discretization

Yoshioka

Yaegashi

Tsujimura

et al. 2019

Communications in Computer and Information Science

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Human interventions to control environmental and ecological system dynamics are efficiently described as impulsive interventions by which the system state suddenly transits. Such interventions in applications are imperfect in the sense that the state transition is not exactly controllable and thus uncertain. Mathematical description of the imperfect impulsive interventions, despite relevance in practical problems of environmental and ecological engineering, has not been addressed so far to the best of the authors' knowledge. The objectives and contributions of this research are formulation and numerical computation of single-species population dynamics controlled through imperfect impulsive interventions. We focus on a management problem of a waterfowl population as a model problem where the population dynamics follows a stochastic differential equation subject to impulsive harvesting. We show that the stationary probability density function of the population dynamics is governed by a 1-D Fokker-Planck equation with a special non-locality, which potentially becomes an obstacle in analyzing the equation. We demonstrate that the equation is analytically solvable under a simplified condition, which is validated through a Monte-Carlo simulation result. We also demonstrate that a simple finite volume scheme can approximate its solution in a stable, conservative, and super-convergent manner.

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Food Security and Wildlife Management in Nunavut

Cited by 5 publications

References 9 publications

Valuation of Country Food in Nunavut Based on Energy and Protein Replacement

Valuation of Country Food in Nunavut Based on Energy and Protein Replacement

Operationalizing knowledge coevolution: towards a sustainable fishery for Nunavummiut

Non-Local Fokker-Planck Equation of Imperfect Impulsive Interventions and its Effectively Super-Convergent Numerical Discretization

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