Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/155116
Title: Mapping the benefits of nature in cities with the InVEST software
Authors: Hamel, Perrine
Guerry, A. D.
Polasky, S.
Han, B.
Douglass, J. A.
Hamann, M.
Janke, B.
Kuiper, J. J.
Levrel, H.
Liu, H.
Lonsdorf, E.
McDonald, R. I.
Nootenboom, C.
Ouyang, Z.
Remme, R. P.
Sharp, R. P.
Tardieu, L.
Viguié, V.
Xu, D.
Zheng, H.
Daily, G. C.
Keywords: Science::Geology
Engineering::Computer science and engineering::Computer applications
Issue Date: 2021
Source: Hamel, P., Guerry, A. D., Polasky, S., Han, B., Douglass, J. A., Hamann, M., Janke, B., Kuiper, J. J., Levrel, H., Liu, H., Lonsdorf, E., McDonald, R. I., Nootenboom, C., Ouyang, Z., Remme, R. P., Sharp, R. P., Tardieu, L., Viguié, V., Xu, D., ...Daily, G. C. (2021). Mapping the benefits of nature in cities with the InVEST software. Npj Urban Sustainability, 1(1), 25-. https://dx.doi.org/10.1038/s42949-021-00027-9
Journal: npj Urban Sustainability
Abstract: Natural infrastructure such as parks, forests, street trees, green roofs, and coastal vegetation is central to sustainable urban management. Despite recent progress, it remains challenging for urban decision-makers to incorporate the benefits of natural infrastructure into urban design and planning. Here, we present an approach to support the greening of cities by quantifying and mapping the diverse benefits of natural infrastructure for now and in the future. The approach relies on open-source tools, within the InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) software, that compute biophysical and socio-economic metrics relevant to a variety of decisions in data-rich or data-scarce contexts. Through three case studies in China, France, and the United States, we show how spatially explicit information about the benefits of nature enhances urban management by improving economic valuation, prioritizing land use change, and promoting inclusive planning and stakeholder dialogue. We discuss limitations of the tools, including modeling uncertainties and a limited suite of output metrics, and propose research directions to mainstream natural infrastructure information in integrated urban management.
URI: https://hdl.handle.net/10356/155116
ISSN: 2661-8001
DOI: 10.1038/s42949-021-00027-9
DOI (Related Dataset): 10.21979/N9/C7MJTD
Rights: © 2021 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons. org/licenses/by/4.0/.
Fulltext Permission: open
Fulltext Availability: With Fulltext
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