uid=AND,o=lter,dc=ecoinformatics,dc=org all public read SS010 Claire Rapp claire.rapp@oregonstate.edu Michael P. Nelson

Department of Forest Ecosystems and Society; 201K Richarson Hall; College of Forestry; Oregon State University Corvallis OR 97331

541-737-9221 mpnelson@oregonstate.edu http://www.michaelpnelson.com http://orcid.org/0000-0001-6917-4752 Lucia Cook Hadella lucia.hadella@gmail.com Claire Rapp claire.rapp@oregonstate.edu Michael P. Nelson

Department of Forest Ecosystems and Society; 201K Richarson Hall; College of Forestry; Oregon State University Corvallis OR 97331

541-737-9221 mpnelson@oregonstate.edu http://www.michaelpnelson.com http://orcid.org/0000-0001-6917-4752 Principal Investigator Claire Rapp claire.rapp@oregonstate.edu Creator Michael P. Nelson

Department of Forest Ecosystems and Society; 201K Richarson Hall; College of Forestry; Oregon State University Corvallis OR 97331

541-737-9221 mpnelson@oregonstate.edu http://www.michaelpnelson.com http://orcid.org/0000-0001-6917-4752 Creator Ivan Arismendi

3100 SW Jefferson Way Corvallis Oregon 97330 USA

541-750-7443 541-231-8921 ivan.arismendi@oregonstate.edu ivanarsmendi@gmail.com https://fw.oregonstate.edu/users/ivan-arismendi http://orcid.org/0000-0002-8774-9350 Other Researcher Claire Rapp claire.rapp@oregonstate.edu Abstractor Lucia Cook Hadella lucia.hadella@gmail.com Creator Lucia Cook Hadella lucia.hadella@gmail.com Former Investigator 2022-11-30 This dataset contains deidentified demographics information for the members of external advisory boards that serve university natural resource programs. Data collected in 2017 and 2022 represents a sample of land-grant, National Association of University Forestry Program-affiliated, TIMES-ranked universities and colleges. Each row represents a member of an advisory board. Data collection was completed in two years: 2017 and 2022. Data was collected from department webpages and lists of advisory board members provided by department personnel. As needed, information was augmented through internet searches for public LinkedIn pages, organizational pages, local news stories, etc. Data include a unique respondent ID, a code for the university they are from, their employer affiliation (e.g., NGO, federal government, NR business, etc.) and their gender and ethnicity measured as binary variables. organizations education human dimensions Andrews Experimental Forest site thesaurus Data [and/or facilities] were provided by the H.J. Andrews Experimental Forest and Long Term Ecological Research (LTER) program, administered cooperatively by Oregon State University, the USDA Forest Service Pacific Northwest Research Station, and the Willamette National Forest. This material is based upon work supported by the National Science Foundation under the grant LTER8 DEB-2025755 Data Use Agreement: The re-use of scientific data has the potential to greatly increase communication, collaboration and synthesis within and among disciplines, and thus is fostered, supported and encouraged. This Data Set is released under the Creative Commons license CC BY "Attribution" (see: https://creativecommons.org/licenses/by/4.0/). Creative Commons license CC BY - Attribution is a license that allows others to distribute, remix, tweak, and build upon your work (even commercially), as long as you are credited for the original creation. This license accommodates maximum dissemination and use of licensed materials. It is considered professional conduct and an ethical obligation to acknowledge the work of other scientists. The Data User is asked to provide attribution of the original work if this data package is shared in whole or by individual parts or used in the derivation of other products. A recommended citation is provided for each Data Set in the Andrews LTER data catalog (see: http://andlter.forestry.oregonstate.edu/data/catalog/datacatalog.aspx). A generic citation is also provided for this Data Set on the website https://portal.edirepository.org in the summary metadata page. Data Users are thus strongly encouraged to consider consultation, collaboration and/or co-authorship with the Data Set Creator. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed and all data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. General acknowledgement: Data were provided by the HJ Andrews Experimental Forest research program, funded by the National Science Foundation's Long-Term Ecological Research Program (DEB 2025755), US Forest Service Pacific Northwest Research Station, and Oregon State University. Creative Commons Attribution 4.0 International Public License https://creativecommons.org/licenses/by/4.0/ CC-BY-4.0 https://andlter.forestry.oregonstate.edu/data/abstract.aspx?dbcode=SS010 2017-01-02 2022-09-30 The purpose of this study was to assess the employer affiliation and gender and ethnic diversity of members of university natural resource program advisory boards. The study is intended to both summarize the state of gender and ethnic diversity in advisory boards and track change over time.

An update history is logged and maintained with each new version of every dataset.

notPlanned Study code and preliminary metadata established Version1 2022-11-08 Uploaded metadata and data into SQL. Ran QC. Version2 2022-11-30 Information Manager

Andrews Forest LTER Program US Forest Service Pacific Northwest Research Station 3200 SW Jefferson Way Corvallis OR 97331

hjaweb@lists.oregonstate.edu http://andrewsforest.oregonstate.edu/ Michael P. Nelson

Department of Forest Ecosystems and Society; 201K Richarson Hall; College of Forestry; Oregon State University Corvallis OR 97331

541-737-9221 mpnelson@oregonstate.edu http://www.michaelpnelson.com http://orcid.org/0000-0001-6917-4752 Andrews Forest LTER Site

Forest Ecosystems and Society Department in Forestry Oregon State University 201K Richardson Hall Corvallis OR 97331-5752

(541) 737-8480 lterweb@lists.oregonstate.edu http://andrewsforest.oregonstate.edu/ Field Methods - SS010 Once we had lists of advisory board members, either from websites or provided through emails, we created a database first with the names of the advisory board members and their affiliated organizations. We sought information on board members first and last names, employer type (described in more detail below), gender, and ethnicity. Information was first drawn from advisory board websites or lists provided through emails. Missing information was filled in using a Google search. Where relevant, each member’s name was entered in the Google search window, along with their affiliated organization and the state of the university. This often yielded “Meet Our Team” pages from the employer’s website, interviews and features in local newspapers, and publicly available LinkedIn pages. We were purposeful in performing the data recording and collection in a specific order (beginning by recording all information given in the advisory board list before supplementing it through a Google search) for the sake of consistency. For example, if a list taken from the advisory board website indicated that “Sally Jones” worked for “Green Tree Timber Co.,” but a Google search showed that she had recently moved to “Sturdy Timber, Inc.,” her affiliation was still recorded on the spreadsheet as “Green Tree Timber Co.” The employer/affiliate categories were modified from the categories used by Sample et al. in their 2015 report and included university faculty and extension, natural resources businesses, non-natural resources businesses, natural resources consultant, federal agencies, state agencies, local government, and NGOs (Sample et al., 2015). We used employer websites, and particularly the “About” and “Mission” pages to help us categorize these organizations. The categorization was intuitive, since it was not difficult, upon navigating through each website, to determine that an organization was, for example, a timber firm, putting them into the category of “natural resources business.” We made visual observations of photos advisory board members to categorize each member by race and gender. We also relied on text to categorize individuals. For example, if a board member website bio described them as a member of a Tribal nation, or if they were identified on the advisory board page by a prefix, such as “Mr.” or “Ms.,” or if they were referred to with a gender pronoun such as “he” or “she” in any text collected through the Google search. If we were unable to find a prefix or pronoun, we relied on the free online program Gender API (https://gender-api.com/), which draws on a database of close to two million first names to provide the user with an informed guess about the name holder. We only used guesses that were rated as 80 percent accurate and above. To protect confidentiality and right to privacy, in the deidentified dataset we replaced university names with INSTITUTIONID and respondent names with RESPONDENTID. Information from websites (e.g., advisory board pages, LinkedIn pages, etc.) and member lists provided by department personnel were recorded into an Excel document. Sampling frequency: 5 years; data collected in 2017 and 2022 In 2017, we defined our population of interest to only include programs at universities that fit into all three of the following categories: 1) members of the National Association of University Forest Resources Programs (NAUFPR), 2) Land Grant institutions (including 1890 schools), and 3) listed in the Times Higher Education World University Rankings for 2016 – 2017. This led to a list of 28 universities. In 2022, we included all original 28 universities and added 4 Land Grant, ranked universities that became NAUFRP members since then. For each university in both 2017 and 2022, we went through a stepwise procedure to establish if the program had an external advisory board. First, we conducted a web search for each program, navigating to each program’s website (e.g., the Department of Forest Resources and Environmental Conservation, or the College of Forestry) and searched for an advisory board webpage. If we were able to find a webpage with names and employer affiliations for an external advisory board, we used that as the primary list of names. If we were not able to find an advisory board online, we emailed the program head (e.g., department head, dean, etc.) for information on any external advisory boards. If the program head did not respond after a second reminder email, or confirmed the program did not have an advisory board, we moved up one administrative level if the program was not already at the college level. For example, if a department head confirmed the Forest Resources department did not have an advisory board, we would then look at the College of Environment and Natural Resources. We only pursued higher administrative levels if it seemed the advisory board would still be representative of the department. To continue our example, while a College of Environment and Natural Resources would be relevant enough for inclusion, a College of Letters and Science would be too broad and would not be included. Similar to the department level, first we searched for evidence of an external advisory board on the upper administrative level on their website. If we could not find any information, we emailed the administrative head, typically a dean of a college. We emailed the upper administrative heads once. United States -124.73634200 -66.94539200 49.38280800 24.52120800 Posy Elizabeth Busby

Assistant Professor OSU Botany & Plant Pathology

busbyp@science.oregonstate.edu posybusby@gmail.com http://bpp.oregonstate.edu/content/posy-busby http://orcid.org/0000-0002-2837-9820 Principal Investigator Matthew G Betts

Department of Forest Ecosystems and Society; 201E Richardson Hall; College of Forestry; Oregon State University Corvallis OR 97331

(541) 737-3841 matt.betts@oregonstate.edu http://www.fsl.orst.edu/flel/index.htm http://orcid.org/0000-0002-7100-2551 Principal Investigator Brooke E. Penaluna brooke.penaluna@usda.gov Brooke.Penaluna@oregonstate.edu https://www.fs.fed.us/pnw/lwm/aem/people/penaluna.html http://orcid.org/0000-0001-7215-770X Principal Investigator Catalina Segura

Assistant Professor; Department of Forest Engineering, Resources, and Management; Oregon State University Corvallis OR 97331

541-737-6568 catalina.segura@oregonstate.edu http://ferm.forestry.oregonstate.edu/facstaff/segura-catalina http://orcid.org/0000-0002-0924-1172 Principal Investigator David Bell david.bell@usda.gov david.bell@oregonstate.edu https://lemma.forestry.oregonstate.edu/about/david-bell http://orcid.org/0000-0002-2673-5836 Principal Investigator The H.J. Andrews Experimental Forest is a living laboratory that provides unparalleled opportunities for the study of forest and stream ecosystems in the central Cascade Range of Oregon. Since 1980, as a part of the National Science Foundation Long Term Ecological Research (NSF-LTER) program, the Andrews Experimental Forest has become a leader in the analysis of forest and stream ecosystem dynamics. Long-term field experiments and measurement programs have focused on climate dynamics, streamflow, water quality, and vegetation succession. Currently researchers are working to develop concepts and tools needed to predict effects of natural disturbance, land use, and climate change on ecosystem structure, function, and species composition. The Andrews Experimental Forest is administered cooperatively by the USDA Forest Service Pacific Northwest Research Station, Oregon State University and the Willamette National Forest. Funding for the research program comes from the National Science Foundation (NSF), US Forest Service Pacific Northwest Research Station, Oregon State University, and other sources. Data were provided by the HJ Andrews Experimental Forest research program, funded by the National Science Foundation's Long-Term Ecological Research Program (DEB 2025755), US Forest Service Pacific Northwest Research Station, and Oregon State University. National Science Foundation: DEB2025755 National Science Foundation https://ror.org/021nxhr62 DEB2025755 https://www.nsf.gov/awardsearch/showAward?AWD_ID=2025755 The Andrews Forest is situated in the western Cascade Range of Oregon, and covers the entire 15,800-acre (6400-ha) drainage basin of Lookout Creek. Elevation ranges from 1350 to 5340 feet (410 to 1630 m). Broadly representative of the rugged mountainous landscape of the Pacific Northwest, the Andrews Forest contains excellent examples of the region's conifer forests and associated wildlife and stream ecosystems. These forests are among the tallest and most productive in the world, with tree heights of often greater than 250 ft (75 m). Streams are steep, cold and clean, providing habitat for numerous aquatic organisms. ss01001 Demographic data for university natural resources program advisory board's members Contains deidentified demographics information for the members of external advisory boards that serve university natural resource programs ss01001_v1.csv 18182 a9b7f1a99da190fb537da846e91ce229 1 \r\n column , " https://andlter.forestry.oregonstate.edu/data/register/dataaccess.aspx?docid=ss01001_v1.csv 2017-01-02 2022-09-30 DBCODE FSDB Database Code char(5) SS010 FSDB Database Study Code SS010 ENTITY Entity number numeric(2,0) number 1 natural 1.0000 1.0000 YEAR Year of data collection numeric(4,0) year (yyyy) 1 integer 2017.0000 2022.0000 INSTITUTIONID unique code assigned to university where respondent is from char(2) unique code assigned to university where respondent is from RESPONDENTID unique ID assigned to respondent char(5) unique ID assigned to respondent EMPLOYER respondent employer affiliation char(15) Federal Agency Individual is employed by a federal agency, e.g., US Forest Service, National Park Service, NOAA, NSF, etc. Local Agency Individual is employed by a government agency below the state level, e.g., county commission, city parks and recreation department, special issue district, etc. NGO Individual is employed by a non-profit, e.g., adviocacy organizations such as the Sierra Club or National Cattlemen's Association, professional organizations such as the Society of American Foresters, land trusts, or foundations, etc. Non-NR Business Individual is employed by a business that is predominately not related to natural resources or evironmental management. E.g., local market/grocery store, law firm that does not specialize in environmental law, Salesforce, Coca-Cola, etc. NR Business Individual is employed by a business that is predominately related to natural resources or environmental management and is also not predominantely consulting work. E.g., Raching, mining, farming, or private forestry practice, etc. NR Consulting Individual is employed by a business that is predominately related to consulting or investing in natural resource management. E.g., Wildlife Consultants LLC, Hyatt Surveying Services, Natural Resource Planning Services INC, Regenesis Management Group,etc Other Information can be found on the individual's employment, but it does not fit into any other category. E.g., school teacher, retired, unemployed and not seeking employment, etc. State Agency Individual is employed by a state agency, e.g., state-level department of natural resources, state-level parks department, state representative, etc. University Individual is employed by a univeristy, e.g., professor, staff, extension specialist, graduate student Unknown Employment status is unknown, undetermined, or unspecified GENDER indicates respondent gender char(1) 0 Male 1 Female 9 Gender is unknown, undetermined, or unspecified ETHNICITY indicates respondent ethnicity based on researcher visiual identification char(1) 0 White 1 Non-White 9 Ethnicity is unknown, undetermined, or unspecified PRIMARY ss01001.RESPONDENTID ss01001.YEAR NOTNULL ss01001.DBCODE ss01001.EMPLOYER ss01001.ENTITY ss01001.ETHNICITY ss01001.GENDER ss01001.INSTITUTIONID ss01001.RESPONDENTID ss01001.YEAR 452 dimensionless number, i.e., ratio, count year (4 character) portion of date