1024-0262 Part B.6242016

1024-0262 Part B.6242016.docx

Community Harvest Assessments for Alaskan National Parks, Preserves, and Monuments

OMB: 1024-0262

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Supporting Statement B


Community Harvest Assessments for Alaskan National Parks, Preserves, and Monuments


OMB Control Number 1024-0262


Terms of Clearance: None


Collections of Information Employing Statistical Methods


1. Describe (including a numerical estimate) the potential respondent universe and any sampling or other respondent selection method to be used. Data on the number of entities (e.g., establishments, State and local government units, households, or persons) in the universe covered by the collection and in the corresponding sample are to be provided in tabular form for the universe as a whole and for each of the strata in the proposed sample. Indicate expected response rates for the collection as a whole. If the collection had been conducted previously, include the actual response rate achieved during the last collection.


The respondent universe for this collection is adults (heads of households) living in the following communities:


National Park or Monument

Resident Zone Community

Aniakchak National Monument

Chignik Bay, Chignik Lagoon, Chignik Lake,

Port Heiden

Gates of the Arctic National Park

Nuiqsut

Wrangell-St. Elias National Park

Tetlin, Yakutat

Cape Krusenstern National Monument and

Kobuk Valley National Park

Buckland, Kiana, Kivalina, Noatak, Selawik



It also includes adult heads of households living in communities that have positive customary and traditional use determinations from the Federal Subsistence Board authorizing subsistence harvests in:


NPS National Preserves

Communities having positive customary and traditional use determinations

Bering Land Bridge National Preserve

Brevig Mission, Nome, Wales, White Mountain

Noatak National Preserve

Buckland, Kiana, Kivalina, Noatak. Selawik

Yukon-Charley Rivers National Preserve

Central, Circle, Eagle, Eagle Village




For larger communities (100 households or more) a random sample of households will be surveyed. In order to draw a sample in larger communities, all permanently occupied houses in the community will be mapped, numbered and randomly sampled using a list of randomly generated numbers.


In order to determine the sample size for a particular survey, the Division of Subsistence takes a number of variables into consideration (Jim Fall, 2015). Once they determine the values for the following variables, they plug into the following equation and solve for the sample size, n.

Multiplied by

Where:

  1. Population size: N is the population size (as opposed to n, which is the sample size). They typically estimate the current population size using the most recent US Census data and data from tribal and community leaders in the survey areas.

  2. Margin of Error: ME is the desired Margin of Error, which measures how accurate we desire the estimate to be. The Division of Subsistence usually attempts to have a margin of error of between 10% (.10) and 20% (.20) for total resource harvests and harvests of major resource categories (e.g. salmon, fish other than salmon, large land mammals), depending on budgetary and other factors.

  3. Confidence level: z is the z-SCORE (1.645 for a 90% confidence interval, 1.96 for a 95% confidence interval, and 2.58 for a 99% confidence interval). The Division of Subsistence typically uses z-SCOREs instead of t-SCOREs—for sample sizes 30 or fewer, they typically attempt a census. They typically seek to use a 90% to 99% confidence level, with 95% the most common.

  4. Estimates of proportion: is the prior judgment of the correct value of the proportion we are trying to estimate. Typically, the Division of Subsistence will use the most conservative estimate of .5 for the estimated proportion. However, if they believe they have better estimates of the proportions for key variables on our survey, either based on past data from that community or current data from similar communities, instead of .5 they may use the largest p-hat estimate from each variable they are trying to determine the proportion of.

  5. Finite Population Correction factor: FPC is the Finite Population Correction (FPC) factor. For small finite populations where the sample size is expected to be 5% or greater of the population, we use a Finite Population Correction factor in accordance with standard statistical practice.


Fieldwork will be spread out over a three-year period, with the survey occurring only once in a given community during the three year period. We will survey households in a select number of communities each year. All respondents will be rural residents who are eligible to subsistence hunt and fish in the relevant parks, preserves, or monuments.


Based on our experience with a similar survey conducted in 2012 (OMB Control Number 1024-0262), we anticipate a response rate of at least 90%. We found during the previous effort that the individuals who accepted the invitation to participate the interviews, therefore we anticipate response rates at or above levels needed to obtain statistically viable results.


Table 1. Gates of the Arctic National Park Communities


GAAR Community

Respondent Universe

(2010 Census)

Target Contact

Goal

Expected Number of Responses (based on an assumed 90% response rate)

Nuiqsut

114

85

77

Total

114

85

77

Annual Total


28

26



Table 2. Wrangell-St. Elias National Park Communities


WRST Communities

Respondent Universe

(2010 Census)

Target Contact

Goal

Expected Number of Responses

Tetlin

43

43

39

Yakutat

270

128

115

Total

313

171

154

Annual Total


57

51




Table 3. Aniakchak National Monument


ANIA Communities

Respondent Universe

(2010 Census)

Target Contact

Goal

Expected Number of Responses

Chignik Bay

31

31

28

Chignik Lagoon

28

28

25

Chignik Lake

21

21

19

Port Heiden

29

29

26

Total

109

109

98

Annual Total


36

33


Table 4. Bering Land Bridge National Preserve


BELA Communities

Respondent Universe

(2010 Census)

Target Contact

Goal

Expected Number of Responses

Brevig Mission

93

93

84

Nome

1216

105

95

Wales

43

43

39

White Mountain

65

65

59

Total

1,417

306

277

Annual Total


102

92


Table 5. Cape Krusenstern National Monument, Kobuk Valley National Park, Noatak National Preserve


CAKR, KOVA, NOAT Communities

Respondent Universe

(2010 Census)

Target Contact

Goal

Expected Number of Responses

Buckland

98

85

77

Kiana

101

85

77

Kivalina

85

85

77

Noatak

114

85

77

Selawik

186

85

77

Total

584

425

385

Annual Total


142

128





Table 6. Yukon-Charley Rivers National Preserve


YUCH Communities

Respondent Universe

(2010 Census)

Target Contact

Goal

Expected Number of Responses

Central

53

53

48

Circle

40

40

36

Eagle

41

41

37

Eagle Village

31

31

28

Total

165

165

149

Annual Total


55

50



2. Describe the procedures for the collection of information including:

* Statistical methodology for stratification and sample selection,

* Estimation procedure,

* Degree of accuracy needed for the purpose described in the justification,

* Unusual problems requiring specialized sampling procedures, and

* Any use of periodic (less frequent than annual) data collection cycles to reduce burden.


We will not conduct a random sample of households in communities of less than 100 households) where sampling is not needed. All households that live in the community at least 9 months a year and consider the community their primary residence will be contacted and asked to participate.


For larger communities (100 households or more) a random sample of households will be surveyed. In order to draw a sample in larger communities, all permanently occupied houses in the community will be mapped, numbered and randomly sampled using a list of randomly generated numbers.


Researchers will contact each household by phone using the local phone book or in person. We will explain the project and ask heads of households if they would be willing to participate in the interview. We expect that the initial contact will take about 10 minutes. In those communities and neighborhoods where the goal is to survey all households, households that decline to participate will be asked to participate in the non-response survey. If they continue to decline they will be skipped. For communities that are sampled, households that decline will be asked to participate in the non-response survey. If they continue to decline they will be replaced with the next household on the randomly ordered list of households.


If respondents agree to participate, researchers will schedule a time to conduct a face-to-face interview with the head of the household. Depending upon family size and levels of subsistence harvest, the number of questions asked and the time it takes to complete them may vary. Based on past experience with similar surveys, we anticipate that the survey will take an average of 60 minutes to complete. Much of the interviewing will be done by local fieldworkers who will receive extensive training on survey methodology and interviewing techniques.


Unusual problems are not anticipated.


3. Describe methods to maximize response rates and to deal with issues of non-response. The accuracy and reliability of information collected must be shown to be adequate for intended uses. For collections based on sampling, a special justification must be provided for any collection that will not yield "reliable" data that can be generalized to the universe studied.


Several methods will be used to maximize response rates.


  1. One strategy for increasing participation rates is to conduct the survey during the winter and early spring, when local residents tend to be less busy with subsistence activities than other times of year.

  2. We will also hire local research assistants in each community to help make introductions, scheduling interviews, and completing the survey.


A non-respondent bias check will be conducted. During the initial contact, all potential respondents will be asked the following three questions taken directly from the survey:


  1. How many people lived in your household in the study period,

  2. How many years have you (the head of household) lived in this community, and

  3. Between January and December (insert study period), did members of your household use or try to harvest salmon.

Data will be analyzed by comparing the responses of those who participate with those of households who decline to participate to identify potential nonresponse bias. Results of the non-response analysis will be interpreted and discussed in the report.


4. Describe any tests of procedures or methods to be undertaken. Testing is encouraged as an effective means of refining collections of information to minimize burden and improve utility. Tests must be approved if they call for answers to identical questions from 10 or more respondents. A proposed test or set of tests may be submitted for approval separately or in combination with the main collection of information.


The survey instrument is the same as the previously approved version of this collection. The questions are the same and only locally harvested species have been added. This revised instrument was pretested by the University of Alaska’s Institute of Social and Economic Research to determine the utility and anticipated burden of this survey instrument. The previous version of the instrument received a 75% response rate. The revisions in the current instrument were developed in collaboration with the Alaska Department of Fish and Game, the University of Alaska’s Institute of Social and Economic Research, and the National Park Service. The collaboration drew upon years of collective experience conducting similar surveys in rural Alaska Native villages, as well as expertise in economics and anthropology. The revisions were pretested for clarity and accuracy with one representative from each of the communities to be surveyed. We asked them to provide feedback on the accuracy of the species added to their community survey.


5. Provide the name and telephone number of individuals consulted on statistical aspects of the design and the name of the agency unit, contractor(s), grantee(s), or other person(s) who will actually collect and/or analyze the information for the agency.


Individuals consulted on statistical aspects of the design


  • James Fall ADF&G Subsistence Program Manager include (907-267-2359),

  • Davin Holen ADF&G Subsistence Program Manager(907-267-2807),

  • Dave Koster ADF&G Subsistence Division Research Analyst IV (907-267-2371), and

  • Donald Callaway (retired), NPS Alaska Region Senior Cultural Anthropologist.


The Subsistence Division of the Alaska Department of Fish and Game will be the lead agency in collecting and analyzing the data.


        • Davin Holen is the Subsistence Division staff member responsible for WRST and ANIA project oversight, data collection and project logistics (907-267-2807).

  • Caroline Brown is the Subsistence Division staff member responsible for YUCH project oversight, data collection and project logistics (907-328-6116).

  • Nicole Braem is the Subsistence Division staff member responsible for WEAR and GAAR project oversight, data collection and project logistics (907-328-6106).


NPS Agency Representatives


  • Barbara Cellarius, Wrangell-St. Elias National Park and Preserve Cultural Anthropologist will serve as the agency technical representative on the project for WRST and will also be involved in analyzing the information (907-822-7236).

  • Marcy Okada, Gates of the Arctic National Park and Preserve and Yukon-Charley Rivers National Preserve Subsistence Program Manager will serve as the agency representative on the GAAR and YUCH project (907-455-0639).

  • Ken Adkisson, Western Arctic Parklands Subsistence Program Manager will serve as the agency representative on the WEAR (BELA, CAKR, KOVA, NOAT) project (907-443-6104).

  • Linda Chisholm, Aniakchak National Monument Subsistence Manager will serve as the agency representative on the ANIA project (907-246-2154).


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