
Kanae TokunagaGulf of Maine Research Institute · Coastal & Marine Economics Lab
Kanae Tokunaga
PhD in Economics
About
120
Publications
19,182
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Introduction
My research aims to describe how human communities, at individual and community-level, respond to changes in natural environment (e.g., climate change) and human-systems (e.g., urbanization, policy changes). I use bio-economic modeling, econometrics, and survey and interview-based approaches to investigate topics related to fisheries economics and management, seafood demand and supply chain (e.g., tuna, lobster, crab), coastal ecosystem services, and climate change related ocean.
Additional affiliations
June 2012 - May 2015
January 2010 - May 2012
University of Hawaii Economic Research Organization (UHERO)
Position
- Research Assistant
June 2015 - March 2018
Education
August 2010 - May 2015
August 2008 - May 2010
Publications
Publications (120)
AbstractThis study estimates the price elasticity of demand for Pacific bluefin tuna in Tsukiji Market by using an instrumental variables approach. Variability in catch by purse seine vessels and fluctuations in the auctioned volume at Tsukiji Market are used as supply shocks. This study finds an elastic demand for Pacific bluefin tuna with an esti...
Tokyo Bay's ecosystem has severely deteriorated due to land reclamation projects, which gradually claimed over 95% of the intertidal flats in the bay, beginning in the early 20th century. We conducted a contingent valuation study to examine the habitat protection and recreational value of intertidal flats in Tokyo Bay, Japan. To understand the moti...
This paper analyzes a unique fisheries co-management institution in Japan that has implemented two distinct sets of co-management rules within a single fishing season. The uniqueness stems from the fact that the fishing effort coordination implemented during the first half of the season and the 'derby' fishing during the latter half sit at the oppo...
In a changing climate, there is an imperative to build coupled social-ecological systems-including fisheries-that can withstand or adapt to climate stressors. Although resilience theory identifies system attributes that supposedly confer resilience , these attributes have rarely been clearly defined, mechanistically explained, nor tested and applie...
Rights-based fisheries management – a management system that apportions harvesting rights of fisheries resources to individuals or groups of individuals based on pre-determined allocation criteria – has become more common in the past three decades due to its potential to achieve resource sustainability while improving economic efficiency. Policies...
Both the ecological and social dimensions of fisheries are being affected by climate change. As a result, policymakers, managers, scientists and fishing communities are seeking guidance on how to holistically build resilience to climate change. Numerous studies have highlighted key attributes of resilience in fisheries, yet concrete examples that e...
Maine's coastal communities critically depend on the American lobster fishery, which is now exposed to ocean warming. There is uncertainty about the future robustness of the stock and the economic performance of the fleet appears vulnerable. This research characterizes economic heterogeneity in Maine's fishing fleet using latent class stochastic pr...
Knowledge co-production offers a promising approach to design effective and equitable pathways to reach development goals. Fisheries Strategies for Changing Oceans and Resilient Ecosystems by 2030 (FishSCORE), a United Nations Ocean Decade programme, will co-produce knowledge that advances solutions for climate resilient fisheries through networks...
In a changing climate, there is an imperative to build coupled social-ecological systems—including fisheries—that can withstand or adapt to climate stressors. Although resilience theory identifies system attributes that supposedly confer resilience, these attributes have rarely been clearly defined, mechanistically explained, nor tested and applied...
Coastal communities SIDS and LDCs are unique in their position of vulnerability towards ocean-derived risks. They have high levels of exposure and sensitivity to these risks, in part owing to the heavy dependency on the sea for fisheries and tourism – core sectors that support their GDP, livelihoods as well as food security. The situation in these...
The prospect of a new era of blue growth poses unprecedented sustainability and governance challenges for the ocean, as marine ecosystems face cumulative pressures from local human impacts, global climate change and distal socioeconomic drivers. Driven by increasing consumption patterns, land-based sources decline, and technological progress, the h...
Both fisheries and tourism have been highlighted as pivotal sectors to achieving the SDGs. Women play important roles across fisheries value chains and throughout the tourism sector. Yet women’s roles, contributions, priorities and interests tend to be overlooked and undervalued across sectors as well as in policy and management. In addition, becau...
Nature-based solutions (NbS), such as the implementation of environmental conservation and restoration as public works projects, require accurate and cost-effective assessments of the values related to the projects. The values should represent collective ecosystem services, individual services such as food provision and water purification, and othe...
High latitude marine systems are experiencing climate change and other human-induced impacts that outpace global averages. Communities dependent on these systems are also undergoing complex economic and socio-ecological changes. Ecological, economic, market and community developments in Arctic and sub-Arctic crab fisheries are increasingly complex...
Marine fisheries provide protein, income, and employment for millions of people across the world, but future fisheries face multiple stressors, including climate change. To ensure continued flows of benefits from fisheries, we need modern, forward-looking ways of setting sustainability objectives that consider ecosystem carrying capacity, health of...
Green port structures (i.e. green infrastructure in ports and harbors) featuring habitats for marine organisms have been promoted in Japan as part of a comprehensive policy to reduce the environmental impact of ports and carry out habitat conservation, restoration, and creation. In this study, we evaluated the ecosystem services provided by green p...
Japanese fisheries are underperforming, with stock declines in some key domestic fisheries. This study examines tradeoffs between allowing current fishing mortality levels to continue versus adopting fishing mortality levels that are intended to maximize either yield or profitability in Japanese fisheries. Because stock status estimates exist for o...
This study examines Japanese offshore fisheries management by focusing on the possibilities and challenges in implementing co-management of fisheries. Offshore fisheries, characterized by a lack of clear geographical boundaries in fishing grounds and community boundaries in fishery participants, face different challenges than coastal fisheries that...
Wetlands, tidal flats, seaweed beds, and coral reefs are valuable not only as habitats for many species, but also as places where people interact with the sea. Unfortunately, these areas have declined in recent years, so environmental improvement projects to conserve and restore them are being carried out across the world. In this study, we propose...
Location of survey stations for benthic organisms in four tidal flats: (a) SN, (b) UK,(c) TR, and (d) OR.
(d) source: aerial photograph of Geospatial Information Authority of Japan, https://mapps.gsi.go.jp/.
Definition of variables for calculating wave run up height.
Conceptual model of environmental factors for environmental education.
Radarchart of PR4 scores for each environmental factor in environmental education: (a) SN, (b) UK, (c) TR, and (d) OR.
Conceptual model of environmental factors for historical designation as special sites.
Conceptual model of environmental factors for places for rest and relaxation.
Conceptual model of environmental factors for suspended material removal.
Radar chart of PR8 scores for each environmental factor in suspended material removal: (a) SN, (b) UK, (c) TR, and (d) OR.
Number of visitors per day by usage type.
Location of survey stations for bivalves in four tidal flats: (a) SN, (b) UK, (c) TR, and (d) OR.
(d) source: aerial photograph of Geospatial Information Authority of Japan, https://mapps.gsi.go.jp/.
Conceptual model of environmental factors for carbon storage in benthic organisms.
Conceptual model of environmental factors for carbon storage in sediment.
Meanannual wet weights of commercially important species (X1; g-wet/m2) and presentstatus (x1) values forfood provision.
Scores for each tidal flat for research.
Present status (x5), trend score (T5), PR score (PR5), likely near-term future status (x5,F), service score (I5), and sustainability score (S5).
Number of everyday users per day (V, people/day), total duration of everyday use adjusted by an awareness factor (X7) and present status (x7) values for places foreveryday rest and relaxation.
Scores for each tidal flat for everyday rest and relaxation.
Present status (x7), trend score (T7), PR score (PR7), likely near-term future status (x7,F), service score (I7), and sustainability score (S7).
Environmental factors for suspended material removal.
Annualmean of bivalve water filtration volume (X8; m3/m2/h) and present status (x8) values for suspended material removal.
Scores for each tidal flat for suspended material removal.
Present status (x8), trend score (T8), PR score (PR8), likely near-term future status (x8,F), service score (I8), and sustainability score (S8).
Annual COD purification amount by benthic organisms (X9; g-COD/m2/y) and present status (x9) values for organic matter decomposition.
Radar chart of PR1 scores for each environmental factor in food provision: (a) SN, (b) UK, (c) TR, and (d) OR.
Conceptual model of environmental factors for coastal protection.
Radar chart of PR3 scores for each environmental factor in recreation: (a)UK, (b) TR, and (c) OR.
SN was excluded because recreation is not allowed in this area.
Radarchart of PR6 scores for each environmental factor in historical designation as special sites: (a) SN, (b) UK, (c) TR, and (d) OR.
SN and UK were excluded because these types of activities and structures are not permitted in these areas.
Conceptual model of environmental factors for organic matter decomposition.
Radar chart of PR8 scores for each environmental factor in organic matter decomposition: (a) SN, (b) UK, (c) TR, and (d) OR.
Radar chart of PR11 scores for each environmental factor in degree of diversity: (a) SN, (b) UK, (c) TR, and (d) OR.
Radar chart of PR12 score for each environmental factor in rare species: (a) SN, (b) UK, (c) TR, and (d) OR.
Environmental factors for food provision.
Calculation results for annual maximum wave run-up height ratio (X2.2) in 2013.
Present status (x2) values for coastal protection.
Environmental factors for environmental education.
Annual number of papers (X5; papers/y) and present status (x5) values for research.
Scores for each tidal flat for organic matter decomposition.
Present status (x9), trend score (T9), PR score (PR9), likely near-term future status (x9,F), service score (I9), and sustainability score (S9).
Carbon contents for each phylum (Miura et al., 2013).
Annual minimum carbon fixation in benthic organisms and sediments (X10; g-C/m2) and present status (x10) values for carbon storage.
Scores for each tidal flat for carbon storage.
Present status (x10), trend score (T10), PR score (PR10), likely near-term future status (x10,F), service score (I10), and sustainability score (S10).
Dataset of radar chart of PR1 scores for each environmental factor in food provision (Fig. S3).
Dataset radarchart of PR4 scores for each environmental factor in environmental education (Fig. S11).
Dataset of number of visitors per day by usage type (Fig. S17).
Dataset of results of questionnaire survey (Fig. S18).
Supplemental iformation for the calculation of the coastal ecosystem service index (Clean).
Conceptual model of environmental factors for food provision.
Relationship between distance from shoreline and mean annual wave energy: (a) SN, (b) UK,(c) TR, and (d) OR.
Radar chart of PR2 scores for each environmental factor in coastal protection: (a) SN, (b) UK, (c) TR, and (d) OR.
Conceptual model of environmental factors for recreation.
Photo of a torii (a traditional Shinto gate) in OR.
Location of survey stations for field survey in three tidal flats: (a) UK, (b) TR, and (c) OR.
(c) source: aerial photograph of Geospatial Information Authority of Japan, https://mapps.gsi.go.jp/.
Results of questionnaire survey: (a) recognition of the existence of the tidal flat,(b) duration of stay (h), and (c) awareness of the importance of the tidal flat.
Radar chartof PR7 scores for each environmental factor in places for rest and relaxation: (a) UK, (b) TR, and (c) OR.
SN was excluded because these activities are not permitted in this area.
Conceptual model of environmental factors for degree of diversity.
Mean annual wave energy reduction ratio (X2.1) and present status (x2.1) values for coastal protection.
Annual maximum wave run-up height ratio (X2.2) and present status (x2.2) values for coastal protection.
Environmental factors for recreation.
Annual number of visitors for the purpose of environmental education (X4; people/y) and present status (x4) values for environmental education.
Keywords used for web search in research.
Environmental factors for historical designation as special sites.
Annual number of number of rites and festivals (X6.1), number of faith-related buildings (X6.2), and present status (x6) values for historical designation as special sites.
Production-to-biomass ratio and conversion coefficient (from the wet weight to COD (g-COD/g-wet) for each phylum.
Environmental factors for organic matter decomposition.
Environmental factors for degree of diversity.
Annual number of threatened species weighted by threatened category (X12) and present status (x12) values for rare species.
Dataset of ranges of error in trend scores (Fig. 5).
Dataset of radarchart of PR3 scores for each environmental factor in recreation (Fig. S9).
Dataset of radarchart of PR6 scores for each environmental factor in historical designation as special sites (Fig. S14).
Location of survey stations for benthic organisms and sediment in four tidal flats: (a)SN, (b) UK, (c) TR, and (d) OR.
(d) source: aerial photograph of Geospatial Information Authority of Japan, https://mapps.gsi.go.jp/.
Radar chart of PR10 scores for each environmental factor in carbon storage with benthic organisms: (a) SN, (b) UK, (c) TR, and (d) OR.
Radar chart of PR10 scores for each environmental factor in carbon storage with sediments: (a) SN, (b) UK, (c) TR, and (d) OR.