Using Socio-Economic and Fisheries Involvement Indices to Understand Alaska Fishing Community Well-Being

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Using Socio-Economic and Fisheries Involvement Indices to Understand Alaska Fishing Community Well-Being Stephen Kasperski and Amber Himes-Cornell Alaska Fisheries Science Center NAAFE 2015 Ketchikan, Alaska May 20, 2015

Overview Background information on the context of fishing communities in Alaska and NMFS mandates Defining well-being, vulnerability, and resilience Applications of quantitative indicators Challenges 2

Demographics (Average 2005-2009) Total of 578 Communities throughout Alaska 393 Census Designated Places Variable N Mean Std. Dev. Min Max Population 366 1,812 14,834 0 279,268 Age 313 34.59 10.73 10.2 63.2 Household Size 308 3.16 1.18 1.32 11.04 Household Income 303 $47,575 $20,836 $2,499 $115,417 Unemployment Rate 314 16.34% 14.99 0 69 Home Value 285 $140,769 $88,396 $18,800 $1,000,001 % Native Population 319 46.12% 39.80 0 100 3

Overview: Alaska Population Timing of seasonal residents Annual population peak Degree population fluctuations due to fishing sector 4

NMFS activities relating to protecting fishing communities National Environmental Policy Act (NEPA), 1970 Beginning of social impact assessments (SIAs) Magnuson-Stevens Act - National Standard 8, 2006 Conservation and management measures shall, take into account the importance of fishery resources to fishing communities in order to (a) provide for the sustained participation of such communities, and (b) to the extent practicable, minimize adverse economic impacts on such communities. Environmental Justice Initiative (Executive Order 12898), 1994 Achieving environmental protection for all communities (particularly minorities and low-income populations) 5

Community Social Indices: Project objectives 1. Determine key components of community well-being, vulnerability and resilience 2. Construct indices Create objective measures of the social condition of communities to predict well-being, vulnerability and resilience 3. Use indices as reference points to understand how community vulnerability and resilience may change over time in response to changes in fisheries management regulations, ecosystem changes, and other external forces 6

Relationship between vulnerability, resilience, and well-being Vulnerability is about the existing condition Easy to measure from existing data Resilience is about the response to change over time More difficult to measure until after an event occurs Need to track vulnerability over time to understand community resilience We consider well-being to encompass both concepts of vulnerability and resilience, as well as other components. Recognizing that that well-being is a multi-faceted concept, made up of objective, subjective and interrelational components (Coulthard et al. 2011). 7

Social indicators of vulnerability and resiliency National and international focus on use of indicators to measure well-being in communities Cutter et al. (2003,2008) National, based on county-level data Created social vulnerability index (SoVI) to environmental hazards Jacob and Jepson (2007) and Jacob et al (2010) - Gulf Coast fishing communities Created vulnerability index to measure community sustainability and fishery dependence in the face of changing fisheries regulations Colburn and Jepson (2013) Northeast and Southeast fishing communities Also include indicators of gentrification Effort within NOAA to create nationwide database of social indicators Applicability: Fisheries management program performance (e.g., catch shares), predicting social impacts of proposed management programs (and doing social impact statements), vulnerability to climate change 8

Understanding Alaska Fishing Community Wellbeing 9

Understanding Alaska Fishing Community Well-being 14 indices of community well-being in 2 categories: Socioeconomic well-being indices (7) Fishing involvement indices (7) 346 communities throughout Alaska Data from 2005-2009 from the U.S. Census Bureau s American Community Survey From Himes-Cornell and Kasperski, 2015 Using Socio-Economic and Fisheries Involvement Indices to Understand Alaska Fishing Community Well-Being, Under Review. 10

Socioeconomic Well-being indices Personal disruption Population composition Poverty Labor force structure Housing disruption Housing characteristics Status of schools From Himes-Cornell and Kasperski, 2015 Using Socio-Economic and Fisheries Involvement Indices to Understand Alaska Fishing Community Well-Being, Under Review. 11

Fishing Involvement Indices Commercial processing engagement Commercial processing reliance Commercial harvesting engagement Commercial harvesting reliance Recreational fishing engagement Recreational fishing reliance Subsistence harvesting involvement From Himes-Cornell and Kasperski, 2015 Using Socio-Economic and Fisheries Involvement Indices to Understand Alaska Fishing Community Well-Being, Under Review. 12

Methods Identify variables that represent the well-being concepts mentioned previously Conduct a principal components factor analysis Varimax rotation with Kaiser normalization Achieve a single factor solution Create index scores from the rotated factor loadings using the regression method From Himes-Cornell and Kasperski, 2015 Using Socio-Economic and Fisheries Involvement Indices to Understand Alaska Fishing Community Well-Being, Under Review. 13

Data Fisheries data Commercial landings, permits, revenue, vessels, processors, quota share allocation (NMFS, ADFG) Recreational licenses, guides, charter businesses (NMFS, ADFG) Subsistence permits, halibut and salmon catch, marine mammal take (ADFG, USFWS, Alaska Beluga Whale Commission) Socioeconomic Data American Community Survey 2005-2009 (Census Bureau) 2000 and 2010 decennial census (Census Bureau) Alaska Local and Regional Information (ALARI) database From Himes-Cornell, A. and S. Kasperski. 2015. Using indicators to assess the vulnerability and resiliency of Alaskan communities to climate change. Fisheries Research 162:1-11. 14

Overall community scores For each index (7 social; 7 fisheries): Each community is given a score of 1 if they are +1 standard deviation above the mean index score and a 0 otherwise Dichotomized score is then summed for each community Across all socio-economic well-being indices Across all fishing involvement indices From Himes-Cornell and Kasperski, 2015 Using Socio-Economic and Fisheries Involvement Indices to Understand Alaska Fishing Community Well-Being, Under Review. 15

Community Personal Disruption Population Composition Poverty Labor Force Structure Housing Characteristics Housing Disruption Status of Schools Social Score Kokhanok 1 1 1 0 0 1 0 4 Akutan 0 1 0 1 0 0 1 3 Anvik 1 0 1 0 0 0 1 3 Chevak 1 1 1 0 0 0 0 3 Clark's Point 1 0 1 0 0 0 1 3 False Pass 0 1 0 1 0 0 1 3 Gakona 0 0 0 1 0 1 1 3 Gambell 1 1 1 0 0 0 0 3 Goodnews Bay 1 1 0 0 0 1 0 3 Hooper Bay 1 1 1 0 0 0 0 3 Karluk 1 1 0 0 0 0 1 3 Koyuk 1 1 1 0 0 0 0 3 Koyukuk 1 1 0 0 0 0 1 3 Mentasta Lake 1 0 1 0 0 0 1 3 Napakiak 1 1 1 0 0 0 0 3 Nikolai 1 0 1 0 0 0 1 3 Northway 1 1 1 0 0 0 0 3 Northway Village 1 1 1 0 0 0 0 3 Platinum 1 0 1 0 0 0 1 3 Quinhagak 1 1 1 0 0 0 0 3 Savoonga 1 1 1 0 0 0 0 3 Stebbins 1 1 1 0 0 0 0 3 Takotna 1 1 0 0 0 0 1 3 Tanacross 1 0 0 1 0 0 1 3 Tuluksak 1 1 1 0 0 0 0 3 16 Tuntutuliak 1 1 1 0 0 0 0 3

Social indices: Top 26 communities overall 1 Standard Deviation Personal Disruption Population Composition Poverty Labor Force Structure Housing Characteristics Housing Disruption Stebbins Tanacross Takotna Tuntutuliak Tuluksak Akutan 5 4 3 2 1 0-1 Anvik Chevak Clark's Point False Pass Gakona Savoonga Quinhagak -2-3 -4 Gambell Goodnews Bay Platinum Hooper Bay Northway Village Northway Karluk Kokhanok Nikolai Napakiak Mentasta Lake Koyuk Koyukuk From Himes-Cornell and Kasperski, 2015 Using Socio-Economic and Fisheries Involvement Indices to Understand Alaska Fishing Community Well-Being, Under Review. 17

Total sum dichotomized social scores From Himes-Cornell and Kasperski, 2015 Using Socio-Economic and Fisheries Involvement Indices to Understand Alaska Fishing Community Well-Being, Under Review. 18

Commercial Processing Engagement Commercial Harvesting Engagement Fisheries indices Commercial Processing Reliance Commercial Harvesting Reliance Subsistence Harvesting Involvement Recreational Recreational Community Engagement Reliance Elfin Cove 0 1 1 1 1 1 0 5 Kasilof 0 1 0 1 1 1 1 5 Cordova 1 1 0 1 1 0 0 4 Craig 0 1 0 1 1 1 0 4 Dillingham 1 1 0 1 1 0 0 4 Egegik 1 1 1 1 0 0 0 4 Homer 1 1 0 1 1 0 0 4 Kodiak 1 1 0 1 1 0 0 4 Pelican 0 1 0 1 1 1 0 4 Petersburg 1 1 0 1 1 0 0 4 Port Alexander 0 1 0 1 1 1 0 4 Port Lions 0 1 0 1 1 1 0 4 Soldotna 0 1 0 0 1 1 1 4 Wrangell 1 1 0 1 1 0 0 4 Total Fishery Score From Himes-Cornell and Kasperski, 2015 Using Socio-Economic and Fisheries Involvement Indices to Understand Alaska Fishing Community Well-Being, Under Review. 19

Total sum dichotomized fisheries scores From Himes-Cornell and Kasperski, 2015 Using Socio-Economic and Fisheries Involvement Indices to Understand Alaska Fishing Community Well-Being, Under Review. 20

Groundtruthing the Indices: Can we believe any of this? Develop a rapid assessment methodology to test the external validity of the community well-being indices Compare in-person fieldwork assessments of well-being with quantitative social indicators of well-being described above From Himes-Cornell, A., C. Maguire, S. Kasperski, K. Hoelting, and R. Pollnac. Understanding vulnerability in Alaska fishing communities: A validation methodology for rapid assessment of well-being indices, Under Review. 21

Predictive Accuracy of the indices One goal of indices = Predicting community vulnerability to inform decisionmaking Before making predictions, need confidence in indices Ensure indices represent socio-economic realities of communities Lack of confidence = potential to make erroneous conclusions Project goal: Test predictive accuracy of indices to identify which communities will be hardest hit by change (e.g., climate change, fisheries management) Understand future vulnerability by looking at the past: Crab rationalization (2005)

Predicting vulnerability to proposed management changes Catch share programs Gulf of Alaska trawl fishery rationalization BSAI crab rationalization Significant allocation changes Halibut PSC Proposed endangered species listings Stellar Sea Lions U.S. Department of Commerce National Oceanic and Atmospheric Administration NOAA Fisheries Page 23

Uncooperative data Challenges in Measuring Vulnerability American Community Survey (ACS) data are based upon annual 5-year estimates Not all variables, and indices, seem to be appropriate or available for all communities New data collections needed to say more about human dimensions of any one ecosystem being assessed (e.g., cultural ecosystem services and other non-market valuations) Communities access are embedded in multiple socioeconomic systems and ecosystems many external factors to consider 24

Thank you! Stephen.Kasperski@noaa.gov Amber.Himes@noaa.gov 25