IDEAS home Printed from https://ideas.repec.org/p/ags/usdami/358937.html
   My bibliography  Save this paper

Future of America’s Forest and Rangelands: Forest Service 2020 Resources Planning Act Assessment

Author

Listed:
  • Forest Service

Abstract

The 2020 Resources Planning Act (RPA) Assessment summarizes findings about the status, trends, and projected future of the Nation’s forests and rangelands and the renewable resources that they provide. The 2020 RPA Assessment specifically focuses on the effects of both socioeconomic and climatic change on the U.S. land base, disturbance, forests, forest product markets, rangelands, water, biodiversity, and outdoor recreation. Differing assumptions about population and economic growth, land use change, and global climate change from 2020 to 2070 largely influence the outlook for U.S. renewable resources. Many of the key themes from the 2010 RPA Assessment cycle remain relevant, although new data and technologies allow for deeper and wider investigation. Land development will continue to threaten the integrity of forest and rangeland ecosystems. In addition, the combination and interaction of socioeconomic change, climate change, and the associated shifts in disturbances will strain natural resources and lead to increasing management and resource allocation challenges. At the same time, land management and adoption of conservation measures can reduce pressure on natural resources. The RPA Assessment findings and associated data can be useful to resource managers and policymakers as they develop strategies to sustain natural resources.

Suggested Citation

  • Forest Service, 2023. "Future of America’s Forest and Rangelands: Forest Service 2020 Resources Planning Act Assessment," USDA Miscellaneous 358937, United States Department of Agriculture.
    • Handle: RePEc:ags:usdami:358937
    DOI: 10.22004/ag.econ.358937
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/358937/files/GTR-WO-102-RPA2020.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.358937?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Wear, David W. & Coulston, John W., 2019. "Specifying Forest Sector Models for Forest Carbon Projections," Journal of Forest Economics, now publishers, vol. 34(1-2), pages 73-97, August.
    2. Lo, Yueh-Hsin & Blanco, Juan A. & González de Andrés, Ester & Imbert, J. Bosco & Castillo, Federico J., 2019. "CO2 fertilization plays a minor role in long-term carbon accumulation patterns in temperate pine forests in the southwestern Pyrenees," Ecological Modelling, Elsevier, vol. 407(C), pages 1-1.
    3. Hunter Stanke & Andrew O. Finley & Grant M. Domke & Aaron S. Weed & David W. MacFarlane, 2021. "Over half of western United States' most abundant tree species in decline," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    4. Kai Zhu & Jian Zhang & Shuli Niu & Chengjin Chu & Yiqi Luo, 2018. "Limits to growth of forest biomass carbon sink under climate change," Nature Communications, Nature, vol. 9(1), pages 1-8, December.
    5. Christopher Mihiar & David J. Lewis, 2021. "Climate, Adaptation, and the Value of Forestland: A National Ricardian Analysis of the United States," Land Economics, University of Wisconsin Press, vol. 97(4), pages 911-932.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jennifer Morris & Angelo Gurgel & Bryan K. Mignone & Haroon Kheshgi & Sergey Paltsev, 2024. "Mutual reinforcement of land-based carbon dioxide removal and international emissions trading in deep decarbonization scenarios," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. repec:ash:wpaper:104 is not listed on IDEAS
    3. Wang, Yuhan & Lewis, David J., 2024. "Wildfires and climate change have lowered the economic value of western U.S. forests by altering risk expectations," Journal of Environmental Economics and Management, Elsevier, vol. 123(C).
    4. Coline C. F. Boonman & Josep M. Serra-Diaz & Selwyn Hoeks & Wen-Yong Guo & Brian J. Enquist & Brian Maitner & Yadvinder Malhi & Cory Merow & Robert Buitenwerf & Jens-Christian Svenning, 2024. "More than 17,000 tree species are at risk from rapid global change," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    5. Hashida, Yukiko & Lewis, David J., 2022. "Estimating welfare impacts of climate change using a discrete-choice model of land management: An application to western U.S. forestry," Resource and Energy Economics, Elsevier, vol. 68(C).
    6. Yeste, Antonio & Seely, Brad & Imbert, J. Bosco & Blanco, Juan A., 2024. "Sensitivity of long-term productivity estimations in mixed forests to uncertain parameters related to fine roots," Ecological Modelling, Elsevier, vol. 490(C).
    7. Henderson, Jesse D. & Abt, Robert C. & Abt, Karen L., 2024. "Forest carbon under increasing product demand and land use change in the US Southeast," Forest Policy and Economics, Elsevier, vol. 167(C).
    8. Miguel Riviere & Sylvain Caurla & Philippe Delacote, 2020. "Evolving Integrated Models From Narrower Economic Tools : the Example of Forest Sector Models," Post-Print hal-02512330, HAL.
    9. Baker, Justin S. & Van Houtven, George & Phelan, Jennifer & Latta, Gregory & Clark, Christopher M. & Austin, Kemen G. & Sodiya, Olakunle E. & Ohrel, Sara B. & Buckley, John & Gentile, Lauren E. & Mart, 2023. "Projecting U.S. forest management, market, and carbon sequestration responses to a high-impact climate scenario," Forest Policy and Economics, Elsevier, vol. 147(C).
    10. Miguel Riviere & Sylvain Caurla, 2020. "Representations of the Forest Sector in Economic Models [Les représentations du secteur forestier dans les modèles économiques]," Post-Print hal-03088084, HAL.
    11. Kailiang Yu & Philippe Ciais & Sonia I. Seneviratne & Zhihua Liu & Han Y. H. Chen & Jonathan Barichivich & Craig D. Allen & Hui Yang & Yuanyuan Huang & Ashley P. Ballantyne, 2022. "Field-based tree mortality constraint reduces estimates of model-projected forest carbon sinks," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    12. Ma, Shuaishuai & Zhang, Huayong & Wang, Zhongyu & Zou, Hengchao & Xu, Xiaona, 2025. "Drivers of aboveground biomass in Quercus wutaishanica Mayr forests based on random forest and structural equation modeling: A cross-scale analysis," Ecological Modelling, Elsevier, vol. 505(C).
    13. Johnson, Kelsey K. & Lewis, David J., 2024. "Weather variability risks slow climate adaptation: An empirical analysis of forestry," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:usdami:358937. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: http://www.usda.gov .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.