Abstract
Global theories of change (ToCs) can provide broad, overarching guidance for conservation and sustainable use of Earth’s ecosystems. However, broad guidance alone cannot inform how conservation actions will lead to desired socioecological outcomes. Here we develop a framework for translating a global-scale ToC into focused, ecosystem-specific ToCs that consider feasibility of actions, as determined by national socioeconomic and political contexts (that is, enabling conditions). We used coastal wetlands as a case study for developing the framework and identified six distinct multinational profiles of enabling conditions (‘enabling profiles’) for their conservation. For countries belonging to profiles with high internal capacity to enable conservation, we described plausible ToCs that involved strengthening policy and regulation. Alternatively, for profiles with low internal enabling capacity, plausible ToCs typically required formalizing community-led conservation. Our ‘enabling profile’ framework can be applied to other ecosystems to help operationalize the Kunming–Montreal Global Biodiversity Framework and meet sustainable development goals.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 digital issues and online access to articles
$119.00 per year
only $9.92 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
Data availability
All input data used in analyses were obtained from published sources cited in the Methods and Supplementary Information. They are stored on GitHub (https://github.com/cabuelow/enabling-theories-of-change) and archived on Zenodo (https://doi.org/10.5281/zenodo.8125788).
Code availability
The code to run the analyses and reproduce the figures is available on GitHub (https://github.com/cabuelow/enabling-theories-of-change), including an interactive application for exploring the profiles (https://github.com/cabuelow/enabling-profiles-app). The code is archived on Zenodo (https://doi.org/10.5281/zenodo.8125788).
References
Rice, W. S., Sowman, M. R. & Bavinck, M. Using theory of change to improve post-2020 conservation: a proposed framework and recommendations for use. Conserv. Sci. Pr. 2, e301 (2020).
Convention on Biological Diversity. Kunming–Montreal Global Biodiversity Framework (UN Environment Programme, 2022); www.cbd.int/doc/c/e6d3/cd1d/daf663719a03902a9b116c34/cop-15-l-25-en.pdf
Phang, S. C., Failler, P. & Bridgewater, P. Addressing the implementation challenge of the global biodiversity framework. Biodivers. Conserv. 29, 3061–3066 (2020).
Milner-Gulland, E. J. et al. Four steps for the Earth: mainstreaming the post-2020 global biodiversity framework. One Earth 4, 75–87 (2021).
Qiu, J. et al. Evidence-based causal chains for linking health, development, and conservation actions. Bioscience 68, 182–193 (2018).
Ostrom, E., Burger, J., Field, C. B., Norgaard, R. B. & Policansky, D. Revisiting the commons: local lessons, global challenges. Science 284, 278–282 (1999).
Lovelock, C. E. et al. Assessing the risk of carbon dioxide emissions from blue carbon ecosystems. Front. Ecol. Environ. 15, 257–265 (2017).
Zeng, Y., Friess, D. A., Sarira, T. V., Siman, K. & Koh, L. P. Global potential and limits of mangrove blue carbon for climate change mitigation. Curr. Biol. 31, 1737–1743 (2021).
Sievers, M. et al. The role of vegetated coastal wetlands for marine megafauna conservation. Trends Ecol. Evol. 34, 807–817 (2019).
Halpern, B. S. et al. Recent pace of change in human impact on the world’s ocean. Sci. Rep. 9, 11609 (2019).
Brown, C. J. et al. Opportunities for improving recognition of coastal wetlands in global ecosystem assessment frameworks. Ecol. Indic. 126, 107694 (2021).
McCay, S. D. & Lacher, T. E. Jr. National level use of International Union for Conservation of Nature knowledge products in American National Biodiversity Strategies and Action Plans and National Reports to the Convention on Biological Diversity. Conserv. Sci. Pr. 3, e350 (2021).
Duke, N. C., Bell, A. M., Pederson, D. K., Roelfsema, C. M. & Nash, S. B. Herbicides implicated as the cause of severe mangrove dieback in the Mackay region, NE Australia: consequences for marine plant habitats of the GBR World Heritage Area. Mar. Pollut. Bull. 51, 308–324 (2005).
King, J., Alexander, F. & Brodie, J. Regulation of pesticides in Australia: the Great Barrier Reef as a case study for evaluating effectiveness. Agric. Ecosyst. Environ. 180, 54–67 (2013).
Smith, A. H. & Berkes, F. Community-based use of mangrove resources in St. Lucia. Int. J. Environ. Stud. 43, 123–131 (1993).
Kletou, D. et al. Seagrass recovery after fish farm relocation in the eastern Mediterranean. Mar. Environ. Res. 140, 221–233 (2018).
Shilland, R. et al. A question of standards: adapting carbon and other PES markets to work for community seagrass conservation. Mar. Policy 129, 104574 (2021).
Grantham, H. S. et al. Effective conservation planning requires learning and adaptation. Front. Ecol. Environ. 8, 431–437 (2010).
de Los Santos, C. B. et al. Recent trend reversal for declining European seagrass meadows. Nat. Commun. 10, 3356 (2019).
Mauerhofer, V., Kim, R. E. & Stevens, C. When implementation works: a comparison of Ramsar Convention implementation in different continents. Environ. Sci. Policy 51, 95–105 (2015).
Williamson, M. A., Schwartz, M. W. & Lubell, M. N. Spatially explicit analytical models for social-ecological systems. Bioscience 68, 885–895 (2018).
Rosa, I. M. D. et al. Multiscale scenarios for nature futures. Nat. Ecol. Evol. 1, 1416–1419 (2017).
Reed, J. et al. Co-producing theory of change to operationalize integrated landscape approaches. Sustain. Sci. 18, 839–855 (2023).
Root-Bernstein, M. Tacit working models of human behavioural change I: implementation of conservation projects. Ambio 49, 1639–1657 (2020).
Browne, K., Katz, L. & Agrawal, A. Futures of conservation funding: can Indonesia sustain financing of the Bird’s Head Seascape? World Dev. Perspect. 26, 100418 (2022).
Walker, J. E. et al. Governance and the mangrove commons: advancing the cross-scale, nested framework for the global conservation and wise use of mangroves. J. Environ. Manage. 312, 114823 (2022).
Hughes, A. et al. Challenges and possible solutions to creating an achievable and effective post-2020 Global Biodiversity Framework. Ecosyst. Health Sustain. 8, 2124196 (2022).
Wyborn, C. & Evans, M. C. Conservation needs to break free from global priority mapping. Nat. Ecol. Evol. 5, 1322–1324 (2021).
The Intersect of the Exclusive Economic Zones and IHO Sea Areas, Version 4 (Flanders Marine Institute, 2020).
Bunting, P. et al. The global mangrove watch—a new 2010 global baseline of mangrove extent. Remote Sens. 10, 1669 (2018).
Global Distribution of Seagrasses (Version 6.0). Sixth Update to the Data Layer Used in Green and Short (UNEP-WCMC, 2017).
Mcowen, C. et al. A global map of saltmarshes. Biodivers. Data J. 5, e11764 (2017).
Griffiths, L. L., Connolly, R. M. & Brown, C. J. Critical gaps in seagrass protection reveal the need to address multiple pressures and cumulative impacts. Ocean Coast. Manag. 183, 104946 (2020).
Tulloch, V. J. D. et al. Linking threat maps with management to guide conservation investment. Biol. Conserv. 245, 108527 (2020).
Hui, F. K. C. boral—Bayesian ordination and regression analysis of multivariate abundance data in R. Methods Ecol. Evol. 7, 744–750 (2016).
Waldron, A. et al. Reductions in global biodiversity loss predicted from conservation spending. Nature 551, 364–367 (2017).
Rousseeuw, P. J. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J. Comput. Appl. Math. 20, 53–65 (1987).
De’ath, G. & Fabricius, K. E. Classification and regression trees: a powerful yet simple technique for ecological data analysis. Ecology 81, 3178–3192 (2000).
Therneau, T. M. & Atkinson, E. J. An Introduction to Recursive Partitioning Using the RPART Routines (Mayo Foundation, 2019).
Goldberg, L., Lagomasino, D., Thomas, N. & Fatoyinbo, T. Global declines in human-driven mangrove loss. Glob. Change Biol. 26, 5844–5855 (2020).
Dunic, J. C., Brown, C. J., Connolly, R. M., Turschwell, M. P. & Côté, I. M. Long-term declines and recovery of meadow area across the world’s seagrass bioregions. Glob. Change Biol. 27, 4096–4109 (2020).
Europe’s Environment: The Dobris Assessment (EEA, 1995).
Belgiu, M. UIA world countries boundaries. ArcGIS Hub https://hub.arcgis.com/datasets/252471276c9941729543be8789e06e12_0/about (2015).
Acknowledgements
We acknowledge funding support from the Global Wetlands Project, supported by a charitable organization that neither seeks nor permits publicity for its efforts. M.S. acknowledges support from Griffith University Postdoctoral Fellowship and an Australian Research Council Discovery Early Career Researcher Award (no. DE220100079). A.I.S. acknowledges support from Portuguese national funds through the Foundation for Science and Technology (FCT). I.P. acknowledges support from project CEECIND/00962/2017 and the FCT/Ministério da Ciência, Tecnologia e Ensino Superior through the support to CESAM (UIDB/50017/2020, UIDP/50017/2020, LA/P/0094/2020). P.S.M. acknowledges support from Alluvium Consulting Australia. J.C.D. acknowledges support from a Canadian Graduate Doctoral Scholarship (CGSD3-518641-2018) from the Natural Sciences and Engineering Research Council. C.J.B. acknowledges support from a Future Fellowship (no. FT210100792) from the Australian Research Council.
Author information
Authors and Affiliations
Contributions
C.A.B., C.J.B., R.M.C., L.G. and V.J.D.T. conceived the project. C.A.B., C.J.B., R.M.C., L.G., V.J.D.T., B.H., J.C.D., S.Y.L., B.G.M., P.S.M., R.M.P., A.R., M.S., A.I.S., M.P.T. and J.V.-R. contributed to the methodology. L.G., C.A.B. and B.H. collected the data. C.A.B. and C.J.B. analysed the data. C.A.B. wrote the first draft of the manuscript. C.J.B., R.M.C., L.G., V.J.D.T., B.H., J.C.D., S.Y.L., B.G.M., P.S.M., R.M.P., A.R., M.S., A.I.S., M.P.T. and J.V.-R. contributed to revising the manuscript. C.J.B., B.G.M. and R.M.C. resourced the project.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Peer review
Peer review information
Nature Sustainability thanks Jiangxiao Qiu and Thomas Pienkowski for their contribution to the peer review of this work.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Supplementary Information
Supplementary Tables 1–4, Figs. 1–8 and Appendix 1.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Buelow, C.A., Connolly, R.M., Dunic, J.C. et al. Enabling conservation theories of change. Nat Sustain 7, 73–81 (2024). https://doi.org/10.1038/s41893-023-01245-y
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41893-023-01245-y