Documenting Twenty Years of the Contracted Labor-Intensive Forestry Workforce on National Forest System Lands in the United States

Author:

Deak Alison12ORCID,Huber-Stearns Heidi23ORCID,Crandall Mindy4ORCID,Poudel Kamana4ORCID,Davis Emily Jane5,Coughlan Michael R2ORCID,Wilmsen Carl6

Affiliation:

1. University of California Cooperative Extension , Mariposa, CA , USA

2. Ecosystem Workforce Program, Institute for Resilient Organizations, Communities, and Environments, University of Oregon , Eugene, OR, USA

3. School for Environment and Sustainability, University of Michigan , Ann Arbor, MI , USA

4. Department of Forest Engineering, Resources, and Management, Oregon State University , Corvallis, OR , USA

5. Forestry and Natural Resources Extension and Department of Forest Ecosystems and Society, Oregon State University , Corvallis, OR , USA

6. Northwest Forest Worker Center , Ashland, OR , USA

Abstract

Abstract This paper presents the first nationwide analysis detailing the scope and scale of labor-intensive forestry contracts performed on National Forest System lands and examines the businesses contracted, location and types of work performed, and distance traveled by businesses between 2001 and 2020. During the study period, 61,698 contracts were awarded to 7,896 businesses, totaling $12.9 billion, to perform labor-intensive forestry work, with most work being contracted for wildfire-related activities. Businesses were typically located in western states and non-minority owned businesses received the majority of contracts. Of minority-owned businesses, Hispanic American–owned businesses received the most contracts. The median distance that businesses traveled to accomplish work increased significantly through time but differed by business type. Understanding the scope and work of businesses awarded contracts provides insight into the workforce and its relationship to marginalized populations. Strategic investment in this workforce may have widespread impacts on federal, state, and local economies and the livelihoods of forest workers. Study Implications: Between 2001–2020, the USDA Forest Service spent billions of dollars on contracts with thousands of businesses to conduct labor-intensive forestry projects; however, project locations and awarded businesses were not evenly distributed through space and time. Emerging and minority businesses represented a small proportion of contracts awarded. Advancing understanding of the businesses conducting labor-intensive forestry work lays the foundation for inquiry into the working conditions forest workers experience as well as disparities in contract capture. Some regions may have benefitted more from contract capture than others. Understanding factors enabling places and businesses to capture these contract dollars may help identify others that may benefit from investment.

Funder

National Institute of Food and Agriculture

Publisher

Oxford University Press (OUP)

Subject

Plant Science,Forestry

Reference47 articles.

1. “Defining and evaluating the ecological restoration economy.”;BenDor;Restoration Ecology,2015

2. “Investing in the future: ecological restoration and the USDA Forest Service.”;Bosworth;Journal of Forestry,2007

3. “Chapter 10: Environmental Justice, Low-Income and Minority Populations, and Forest Management in the Northwest Forest Plan Area.”;Charnley,2018

4. “Fostering Collective Action to Reduce Wildfire Risk Across Property Boundaries in the American West.”;Charnley;Environmental Research Letters,2020

5. “Policy Design to Support Cross-Boundary Land Management: The Example of the Joint Chiefs Landscape Restoration Partnership.”;Cyphers;Land Use Policy,2019

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3