MétaCan
Menu
Back to cohort
Record W4407349208 · doi:10.1111/cobi.14450

Avoiding an impending collision in international conservation

2025· article· en· W4407349208 on OpenAlexaff
Lovemore Sibanda, Amy Dickman, Courtney Hughes, Jessica Tacey, Emily K. Madsen, Lessah Mandoloma, Moreangels M. Mbizah, Yolanda Mutinhima, Betty J. Rono, Salum Kulunge, David Kimaili, Trisha Bhujle, David W. Macdonald, Darragh Hare

Bibliographic record

VenueConservation Biology · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicConservation, Biodiversity, and Resource Management
Canadian institutionsGovernment of Alberta
FundersLuc Hoffmann InstituteUniversity of OxfordRobertson Foundation
KeywordsCollisionGeographyComputer scienceComputer security

Abstract

fetched live from OpenAlex

There are long-standing tensions between 2 major movements in international conservation: one emphasizes increasing the area set aside for conservation and the other emphasizes an inclusive, people-centered approach to conservation. The degree to which these movements harmonize or contradict depends largely on how decision makers balance strictly protected areas (PAs) with flexible other effective area-based conservation measures (OECMs). Ensure and enable that by 2030 at least 30 per cent of terrestrial, inland water, and of coastal and marine areas, especially areas of particular importance for biodiversity and ecosystem functions and services, are effectively conserved and managed through ecologically representative, well-connected and equitably governed systems of protected areas and other effective area-based conservation measures, recognizing indigenous and traditional territories where applicable, and integrated into wider landscapes, seascapes and the ocean, while ensuring that any sustainable use, where appropriate in such areas, is fully consistent with conservation outcomes, recognizing and respecting the rights of indigenous peoples and local communities, including over their traditional territories. Over 190 countries have ratified the CBD and committed to the GBF (WWF & IUCN WCPA, 2023), but opinions regarding the motivations for and implications of 30×30 are mixed. Proponents are optimistic that it will deliver substantial positive impacts for biodiversity (Waldron et al., 2020; Wolff et al., 2023), whereas critics argue that it risks prioritizing the goals and interests of people living far from biodiversity-rich areas over those of marginalized IPLCs (Green Economy Coalition, 2021; Rudd et al., 2021). The discourse illuminates tensions between traditional area-based conservation via formal PAs and calls for more inclusive, people-centered approaches (Bakarr, 2023; IUCN Africa Protected Areas Congress, 2022). The people-centered approach, or inclusive conservation, contends that conservation has traditionally excluded IPLCs from PAs, for example, by preventing sustainable access to and use of wildlife resources (Lo & Jang, 2022). Therefore, the people-centered approach seeks to simultaneously conserve biodiversity and improve outcomes for IPLCs who have been or continue to be marginalized by area-based conservation (Raymond et al., 2022). As conservation researchers and practitioners working in multiple landscapes, we have seen how global conservation movements influence decisions that affect PAs and OECM management and, therefore, IPLCs. We appreciate that 30×30 recognizes OECMs and formal PAs (Cook, 2024), but we are concerned that achieving inclusive conservation under 30×30 will depend on how decision makers define and interpret PAs and OECMs. If new PAs and OECMs are designated following traditional exclusionary methods or if PA and OECM management strategies are defined without fully incorporating the rights, values, needs, and concerns of IPLCs, efforts to deliver 30×30 might unintentionally reproduce historical inequalities and reinforce power imbalances associated with colonial forms of conservation (Rudd et al., 2021; Willow, 2016). We therefore see an impending collision at the heart of 30×30. To avoid this collision, the voices of IPLCs must be included in ongoing debates and decision-making about how and where to conserve biodiversity (Sandbrook et al., 2023). This could involve establishing, supporting, and expanding comanagement models to ensure conservation measures are aligned with IPLCs’ knowledge and needs (Rocha et al., 2017). One example is Yaigojé Apaporis National Park in Colombia, which was created at the request of Indigenous Peoples and managed in collaboration with them (Huaiquimilla-Guerrero et al., 2023). Conservation efforts (including PAs and OECMs) can better reflect local interests by implementing governance models that decentralize power dynamics (Cebrián-Piqueras et al., 2023). Without meaningful collaborative decision-making with IPLCs, local resentment and opposition to conservation are likely and could result in neither biodiversity conservation nor social justice (Bennett et al., 2019; Sandbrook et al., 2023). This risk challenges conservation scientists, practitioners, and decision makers to better define effective conservation and evaluate effectiveness over time (Lee & Abdullah, 2019). To meet commitments under target 3, national decision makers must find a balance between strict PAs and more flexible OECMs. They must also create a delicate balance among the needs, interests, and concerns of people living in high-biodiversity areas and those living elsewhere in a country (Dawson et al., 2024). Doing so could help ensure that 30×30 produces practical area-based solutions to the worldwide biodiversity crisis without further marginalizing IPLCs (IUCN Africa Protected Areas Congress, 2022). This should also involve recognizing and respecting IPLCs’ expertise and ability to effectively conserve biodiversity outside formal PAs (ICCA Consortium, 2021) and respecting IPLCs’ agency via shared leadership, as opposed to treating IPLCs as convenient partners in delivering a vision for area-based conservation defined by others (Busck-Lumholt et al., 2024; Dawson et al., 2024). Realistically, the costs of delivering 30×30 will largely fall on IPLCs living near biodiversity-rich areas, even though more powerful—often distant—actors in the Global North champion the target (Earsom, 2023). Therefore, to avoid 30×30 reproducing colonial inequalities, such as displacing and further marginalizing IPLCs, politicians, businesses, nongovernmental organizations, and funding organizations could provide more direct financial support to IPLCs (Sangha, 2020). Such financial support could empower IPLCs to manage and preserve their natural resources effectively, according to their own cultures and values (Jeanty, 2021). Although IPLCs receive financial support from multiple sources (approximately US$270 million per year over the last 10 years [United Nations Environment Programme, 2021]), there remains a huge gap between available funding and actual needs on the ground (Larson et al., 2022). Ensuring that IPLC conservation efforts receive adequate funding and that IPLCs are directly involved in decision-making could foster a more equitable and sustainable approach to global biodiversity conservation (Busck-Lumholt et al., 2024; Milner-Gulland, 2024). The potential collision between expanding area-based conservation measures and inclusive conservation is avoidable. However, there is an urgent need to consider how expanding PAs and OECMs to achieve 30×30 can meet ethical aspirations for more inclusive conservation. This is especially pertinent for IPLCs, who are most directly affected by conservation policies and programs but whose voices are seldom accounted for in global decisions (Martinelli & Martinelli, 2024). Respecting IPLCs’ perspectives and incorporating them meaningfully into decisions on expanding PAs will help ensure national and international conservation efforts are equitable and effective and do not perpetuate historical injustices. We are grateful for funding that enabled the conversations that inspired this article, from: the Inclusivity Accelerator, supported by the Robertson Foundation, and the Morally Contested Conservation Research project, supported by Jamma International, WWF Germany, the BAND Foundation, and the Luc Hoffmann Institute (now Unearthodox), both held at the Wildlife Conservation Research Unit, University of Oxford.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.724

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.270
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueConservation BiologySame topicConservation, Biodiversity, and Resource ManagementFrench-language works237,207