Natural capital and ecosystem services informing decisions: From promise to practice
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The central challenge of the 21st century is to develop economic, social, and governance systems capable of ending poverty and achieving sustainable levels of population and consumption while securing the life-support systems underpinning current and future human well-being. Essential to meeting this challenge is the incorporation of natural capital and the ecosystem services it provides into decision-making. We explore progress and crucial gaps at this frontier, reflecting upon the 10 y since the Millennium Ecosystem Assessment. We focus on three key dimensions of progress and ongoing challenges: raising awareness of the interdependence of ecosystems and human well-being, advancing the fundamental interdisciplinary science of ecosystem services, and implementing this science in decisions to restore natural capital and use it sustainably. Awareness of human dependence on nature is at an all-time high, the science of ecosystem services is rapidly advancing, and talk of natural capital is now common from governments to corporate boardrooms. However, successful implementation is still in early stages. We explore why ecosystem service information has yet to fundamentally change decision-making and suggest a path forward that emphasizes: ( i ) developing solid evidence linking decisions to impacts on natural capital and ecosystem services, and then to human well-being; ( ii ) working closely with leaders in government, business, and civil society to develop the knowledge, tools, and practices necessary to integrate natural capital and ecosystem services into everyday decision-making; and ( iii ) reforming institutions to change policy and practices to better align private short-term goals with societal long-term goals.
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Governmental policies and market transactions typically do not reflect the full value of nature's contributions to people.
“These various contributions are now widely recognized in the scientific literature, but governmental policies and market transactions typically do not reflect their full value ( 7 ).”
From Pervasive human-driven decline of life on Earth points to the need for transformative change (2019) · cites this paper as [7]
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Upstream watershed condition predicts rural children’s health across 35 developing countries
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Self-citationQuantifying and sustaining biodiversity in tropical agricultural landscapes
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Future Risk for Southern Ocean Ecosystem Services Under Climate Change
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Identifying the regional disparities of ecosystem services from a supply-demand perspective
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Risk management and decision-making in relation to sustainable development
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Circular cities: planning for circular development in European cities
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Resilience of aquatic systems: Review and management implications
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Identifying key ecosystem service providing areas to inform national-scale conservation planning
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Anthropocene Crisis: Climate Change, Pollinators, and Food Security
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One hundred priority questions for landscape restoration in Europe
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Coastal wetlands reduce property damage during tropical cyclones
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Worker wellbeing and productivity in advanced economies: Re-examining the link
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- Authors
- Guerry, A. D., Polasky, S., Lubchenco, J., Chaplin-Kramer, R., Daily, G. C., Griffin, R., Ruckelshaus, M., Bateman, I. J., Duraiappah, A., Elmqvist, T., Feldman, M. W., Folke, C., Hoekstra, J., Kareiva, P. M., Keeler, B. L., Li, S., McKenzie, E., Ouyang, Z., Reyers, B., Ricketts, T. H., Rockström, J., Tallis, H., & Vira, B.
- Affiliations
- University of Washington (US)
- University of Minnesota (US)
- Oregon State University (US)
- Woods Institute for the Environment, Stanford University, Stanford, CA 94305;
- Royal Swedish Academy of Sciences (SE)
- Stanford University (US)
- University of East Anglia (GB)
- Mahatma Gandhi Institute of Education for Peace and Sustainable Development, New Delhi 110 029, India;
- Stockholm Resilience Centre (SE)
- World Wildlife Fund, Washington, DC 20037;
- The Nature Conservancy (US)
- Xi'an Jiaotong University (CN)
- World Wildlife Fund (US)
- Chinese Academy of Sciences (CN)
- Council for Scientific and Industrial Research (ZA)
- University of Vermont (US)
- University of Cambridge (GB)
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2015-06-15
- Volume
- 112
- Issue
- 24
- Pages
- 7348-7355
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC4475956
- OpenAlex
- W1540250989
- Cited by
- 1,017
- References
- 108
- Citations by year
- 2026: 66 · 2025: 75 · 2024: 88 · 2023: 98 · 2022: 107 · 2021: 110 · 2020: 126 · 2019: 91 · 2018: 95 · 2017: 87 · 2016: 57 · 2015: 16
- FWCI
- 69.70
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- UWA Profiles and Research Repository (UWA) (submittedVersion)
- Research Center for Eco-Environmental Sciences OpenIR (Chinese Academy of Sciences) (submittedVersion, cc-by-nc-sa)
- UEA Digital Repository (University of East Anglia) (submittedVersion)
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Land Use and Ecosystem Services
- Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Sustainable Development and Environmental Policy
- Physical Sciences › Environmental Science › Global and Planetary Change › Conservation, Biodiversity, and Resource Management
- Keywords
- natural capital, ecosystem services, decision-making, Millennium Ecosystem Assessment, human well-being, sustainability, ecological restoration, policy reform, interdisciplinary research, evidence-based policy, institutional change, poverty reduction
- MeSH terms
- Animals, Conservation of Natural Resources, Decision Making, Ecology, Humans, Public Policy, Ecosystem
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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