IDEAS home Printed from https://ideas.repec.org/p/ags/aaea16/236154.html

Nutrient retention return on investment in private forest conservation: the case of the Classified Forest and Wildlands Program in Indiana

Author

Listed:
  • Wang, Yangyang
  • Atallah, Shady
  • Shao, Guofan

Abstract

This paper presents a spatially explicit analysis of the nutrient retention ecosystem service responses to changes in forest management in the White River Basin (WRB), Indiana. We use a modified version of the Integrated Valuation of Environmental Services and Tradeoffs (InVEST) model and ArcGIS to simulate and value the magnitude of nutrient retention service, assess the prediction power of the InVEST water yield and nutrient retention model, estimate changes in the quantity and value of nutrient retention service with hypothetical increases in enrollment in a forest conservation program, the Classified Forest and Wildlands (CFW) Program, and rank candidate scenarios using a conservation return on investment (ROI) measure. The results suggest that the benefits from a single ecosystem service of nutrient retention can exceed the cost of the tax deductions for both forest conservation scenarios considered but not for the current CFW enrollment. In particular, expanding the CFW program in contaminated sub-watershed yields a higher ROI than expanding the CFW program along river forks. Consequently, substantial savings can be achieved by applying the ROI analysis to guide conservation policies, compared to prioritization merely on the quantity measures of nutrient retention service or compared to program expansion that is not spatially targeted.

Suggested Citation

  • Wang, Yangyang & Atallah, Shady & Shao, Guofan, 2016. "Nutrient retention return on investment in private forest conservation: the case of the Classified Forest and Wildlands Program in Indiana," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236154, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea16:236154
    DOI: 10.22004/ag.econ.236154
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/236154/files/Wang-Atallah-Shao-2016-AAEA.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.236154?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. Nelson, Nanette M. & Loomis, John B. & Jakus, Paul M. & Kealy, Mary J. & von Stackelburg, Nicholas & Ostermiller, Jeff, 2015. "Linking ecological data and economics to estimate the total economic value of improving water quality by reducing nutrients," Ecological Economics, Elsevier, vol. 118(C), pages 1-9.
    2. W. Viscusi & Joel Huber & Jason Bell, 2008. "The Economic Value of Water Quality," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 41(2), pages 169-187, October.
    3. repec:cup:jagaec:v:28:y:1996:i:02:p:323-336_00 is not listed on IDEAS
    4. Grossmann, Malte, 2012. "Economic value of the nutrient retention function of restored floodplain wetlands in the Elbe River basin," Ecological Economics, Elsevier, vol. 83(C), pages 108-117.
    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. Wang, Yangyang & Atallah, Shady & Shao, Guofan, 2017. "Spatially explicit return on investment to private forest conservation for water purification in Indiana, USA," Ecosystem Services, Elsevier, vol. 26(PA), pages 45-57.
    2. Shr, Yau-Huo (Jimmy) & Zhang, Wendong, 2024. "Omitted downstream attributes and the benefits of nutrient reductions: Implications for choice experiments," Ecological Economics, Elsevier, vol. 222(C).
    3. Shokhrukh-Mirzo Jalilov, 2017. "Value of Clean Water Resources: Estimating the Water Quality Improvement in Metro Manila, Philippines," Resources, MDPI, vol. 7(1), pages 1-15, December.
    4. Windle, Jill & Rolfe, John, 2010. "Assessing community values for reducing agricultural emissions to improve water quality and protect coral health in the Great Barrier Reef," Research Reports 107583, Australian National University, Environmental Economics Research Hub.
    5. Boudreaux, Greg & Lupi, Frank & Sohngen, Brent & Xu, Alan, 2023. "Measuring beachgoer preferences for avoiding harmful algal blooms and bacterial warnings," Ecological Economics, Elsevier, vol. 204(PA).
    6. James Shortle & Richard D. Horan, 2017. "Nutrient Pollution: A Wicked Challenge for Economic Instruments," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 3(02), pages 1-39, April.
    7. Jill Windle & John Rolfe, 2010. "Assessing community values for reducing agricultural emissions to improve water quality and protect coral health in the Great Barrier Reef," Environmental Economics Research Hub Research Reports 1084, Environmental Economics Research Hub, Crawford School of Public Policy, The Australian National University.
    8. Dale Whittington & Vic Adamowicz, 2010. "The Use of Hypothetical Baselines in Stated Preference Surveys," EEPSEA Special and Technical Paper sp201009s1, Economy and Environment Program for Southeast Asia (EEPSEA), revised Sep 2010.
    9. Barth, Nina-Christin & Döll, Petra, 2016. "Assessing the ecosystem service flood protection of a riparian forest by applying a cascade approach," Ecosystem Services, Elsevier, vol. 21(PA), pages 39-52.
    10. Weber, Matthew A. & Meixner, Thomas & Stromberg, Juliet C., 2016. "Valuing instream-related services of wastewater," Ecosystem Services, Elsevier, vol. 21(PA), pages 59-71.
    11. Hans-Martin Gaudecker & Arthur Soest & Erik Wengström, 2012. "Experts in experiments," Journal of Risk and Uncertainty, Springer, vol. 45(2), pages 159-190, October.
    12. Xueqin Zhu & Ekko Ierland, 2012. "Economic Modelling for Water Quantity and Quality Management: A Welfare Program Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(9), pages 2491-2511, July.
    13. Keeler, Bonnie L. & Wood, Spencer A. & Polasky, Stephen & Kling, Catherine L. & Filstrup, Christopher T. & Downing, John A., 2015. "Recreational demand for clean water: evidence from geotagged photographs by visitors to lakes," ISU General Staff Papers 201501290800001557, Iowa State University, Department of Economics.
    14. Wendong Zhang & Brent Sohngen, 2018. "Do U.S. Anglers Care about Harmful Algal Blooms? A Discrete Choice Experiment of Lake Erie Recreational Anglers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(3), pages 868-888.
    15. Patrick J. Walsh & J. Walter Milon & David O. Scrogin, 2011. "The Spatial Extent of Water Quality Benefits in Urban Housing Markets," Land Economics, University of Wisconsin Press, vol. 87(4), pages 628-644.
    16. Nelson, Nanette M. & Loomis, John B. & Jakus, Paul M. & Kealy, Mary J. & von Stackelburg, Nicholas & Ostermiller, Jeff, 2015. "Linking ecological data and economics to estimate the total economic value of improving water quality by reducing nutrients," Ecological Economics, Elsevier, vol. 118(C), pages 1-9.
    17. Hérivaux, Cécile & Grémont, Marine, 2019. "Valuing a diversity of ecosystem services: The way forward to protect strategic groundwater resources for the future?," Ecosystem Services, Elsevier, vol. 35(C), pages 184-193.
    18. Brown, Christina Estela & Tanner, Sophia J. & Hrozencik, R. Aaron & Gramig, Benjamin M., 2025. "The Agricultural and Economic Value of Water," Economic Information Bulletin 356606, United States Department of Agriculture, Economic Research Service.
    19. Chris Moore & Dennis Guignet & Kelly B. Maguire & Chris Dockins & Nathalie B. Simon, 2015. "A Stated Preference Study of the Chesapeake Bay and Watershed Lakes," NCEE Working Paper Series 201506, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Nov 2015.
    20. Choi, Hyunhong & Koo, Yoonmo, 2018. "Using Contingent Valuation and Numerical Methods to Determine Optimal Locations for Environmental Facilities: Public Arboretums in South Korea," Ecological Economics, Elsevier, vol. 149(C), pages 184-201.

    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:aaea16:236154. 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: https://edirc.repec.org/data/aaeaaea.html .

    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.