Hostname: page-component-76fb5796d-skm99 Total loading time: 0 Render date: 2024-04-26T17:45:57.827Z Has data issue: false hasContentIssue false

Monitoring should not be a barrier to conservation success: a response to Sanders et al.

Published online by Cambridge University Press:  14 July 2021

P.J. Stephenson*
Affiliation:
IUCN Species Survival Commission Species Monitoring Specialist Group, Laboratory for Conservation Biology, Department of Ecology & Evolution, University of Lausanne, Biophore Building, CH-1015Lausanne, Switzerland. E-mail stephensonpj@gmail.com

Abstract

Type
Letter
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of Fauna & Flora International

Sanders et al. (Reference Sanders, Miller, Bhagwat and Rogers2021) interviewed conservationists (mostly from Kenya and South Africa) to produce a useful typology of the main barriers to conservation success. They found that the inability to demonstrate impact was the second most commonly cited barrier of the 74 identified. Three main causes were proposed to explain this challenge (p. 250). Firstly, many interviewees felt they ‘did not have the right tools to effectively assess conservation initiatives… because progress is not fast or linear and therefore impacts can be difficult to measure’. Secondly, ‘reasons for success may not be obvious, making it difficult to define and report on them’. This led the authors to conclude that ‘there is no satisfactory method for measuring impact consistently or attributing benefits to specific interventions’. I would argue that these are not causes of weak monitoring but oft-repeated excuses.

Several tools and approaches exist for defining and quantifying conservation success and for monitoring projects and their impacts on biodiversity. Available resources include management standards to define and design appropriate project goals and objectives around situation analyses that enhance the feasibility and measurability of conservation interventions (Conservation Measures Partnership, 2020). Such approaches include the use of scalable goals and linked indicator frameworks (sensu Stephenson, Reference Stephenson2019) that allow the monitoring of responses, pressures, biodiversity state and benefits to people along a project's theory of change, facilitating the identification of actual and potential reasons for success. Impact evaluations (e.g. Gertler et al., Reference Gertler, Martinez, Premand, Rawlings and Vermeersch2016), including the use of randomized control trials (Pyengar et al., Reference Pynegar, Gibbons, Asquith and Jones2021) and before after control intervention analyses (Wauchope et al., Reference Wauchope, Amano, Geldmann, Johnston, Simmons, Sutherland and Jones2021), can then be implemented to measure a project's success against counterfactuals that enhance attribution of results from project actions. As Sanders et al. note, progress is not always fast or linear, but that does not obviate the necessity and the usefulness of applying existing management best practices and evaluation techniques.

The top-rated barrier Sanders et al. identified—local capacity—is undoubtedly a factor behind weak monitoring and the poor adoption of existing tools, especially in Africa (O'Connell et al., Reference O'Connell, Nasirwa, Carter, Farmer, Appleton and Arinaitwe2019), and it is sometimes compounded by a lack of willingness to discuss and share results that may not always be favourable (Stephenson et al., Reference Stephenson, Bowles-Newark, Regan, Stanwell-Smith, Diagana and Hoft2017). The conservation community therefore needs to adopt a more results-based management culture and address capacity issues, especially in countries with rich biodiversity. Managers need to factor in a larger proportion of existing project resources, time and effort for data collection and use, and to build capacity for planning, monitoring and evaluation in their teams and partners. Donors need to ensure monitoring budgets are funded and become stricter at holding project managers accountable, while at the same time allowing the space to fail, learn and adapt. With a more widespread results-based management culture and the application of relevant monitoring and evaluation tools we will be able to quantify project progress and demonstrate the level of conservation impact. This will facilitate adaptive management, allowing successful project strategies to be replicated and less successful ones to be adapted. Monitoring should therefore be a solution, not a barrier, to conservation success.

References

Conservation Measures Partnership (2020) Open Standards for the Practice of Conservation. Version 4. Conservation Measures Partnership, Bethesda, USA.Google Scholar
Gertler, P.J., Martinez, S., Premand, P., Rawlings, L.B. & Vermeersch, C.M. (2016) Impact Evaluation in Practice. 2nd edition. The World Bank, Washington, DC, USA.CrossRefGoogle Scholar
O'Connell, M., Nasirwa, O., Carter, M., Farmer, K., Appleton, M., Arinaitwe, J. et al. (2019) Capacity building for conservation: problems and potential solutions for sub-Saharan Africa. Oryx, 53, 273283.CrossRefGoogle Scholar
Pynegar, E.L., Gibbons, J.M., Asquith, N.M. & Jones, J.P.G. (2021) What role should randomized control trials play in providing the evidence base for conservation? Oryx, 55, 235244.CrossRefGoogle Scholar
Sanders, M.J., Miller, L., Bhagwat, S.A. & Rogers, A. (2021) Conservation conversations: a typology of barriers to conservation success. Oryx, 55, 245254.CrossRefGoogle Scholar
Stephenson, P.J. (2019) The Holy Grail of biodiversity conservation management: monitoring impact in projects and project portfolios. Perspectives in Ecology and Conservation, 17, 182192.Google Scholar
Stephenson, P.J., Bowles-Newark, N., Regan, E., Stanwell-Smith, D., Diagana, M., Hoft, R. et al. (2017) Unblocking the flow of biodiversity data for decision-making in Africa. Biological Conservation, 213, 335340.CrossRefGoogle Scholar
Wauchope, H.S., Amano, T., Geldmann, J., Johnston, A., Simmons, B.I., Sutherland, W.J. & Jones, J.P.G. (2021) Evaluating impact using time-series data. Trends in Ecology & Evolution, 36, 193205.CrossRefGoogle ScholarPubMed