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From conflict to collaboration through inclusive landscape governance: Evidence from a contested landscape in Ghana

2024· article· en· W4401673342 on OpenAlex
James Reed, Mirjam Ros-Tonen, Samuel Adeyanju, Abdul Wahid Arimiyaw, Kwabena O. Asubonteng, Bernard N. Baatuwie, Eric Rega Christophe Bayala, Damian Tom-Dery, Amy Ickowitz, Yakubu Balma Issaka, Kaala Moombe, Joseph Mumuni, George Wakesho, M. Zida, Trey Sunderland

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGlobal Environmental Change · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsUniversity of British Columbia
FundersBundesministerium für Umwelt, Naturschutz, Bau und ReaktorsicherheitUnited States Agency for International Development
KeywordsCorporate governancePolitical scienceGeographyEnvironmental resource managementEnvironmental planningSociologyEnvironmental ethicsBusinessEnvironmental sciencePhilosophy

Abstract

fetched live from OpenAlex

• We report on a multistakeholder negotiation process to develop a theory of change. • Drivers of landscape change and barriers to reconciling conflicting aims identified. • Stakeholders agree on a shared vision of inclusive landscape governance. • Short- to long-term goals and activities identified for a pathway of change. • State actors influence the pathway of change more than community representatives. The Western Wildlife Corridor (WWC) in Ghana’s Northern Savannah ecological zone is a contested landscape where efforts to reverse widespread environmental degradation often conflict with local livelihood concerns and broader development objectives. Despite policy measures to devolve natural resource decision-making authority, poor environmental management, persistent socioeconomic challenges, and increasingly limited livelihood opportunities for people living within the corridor prevail. This study investigates environmental degradation in the WWC and natural resource governance using information on stakeholder perceptions from stakeholder workshops, focus group discussions, and key informant interviews. We also explore how natural resource management might be strengthened to better deliver social, economic, and environmental goals. We found that despite a history of contestation, stakeholders were able to agree upon specific issues of common concern and generate a collaborative vision for the WWC landscape. Transitioning toward such a vision requires significant investment in strengthening current governance structures and building natural resource management capacity within the corridor and beyond. Furthermore, persistent challenges of conflicting stakeholder objectives and issues related to coordination, corruption, and non-inclusion in decision-making about natural resources must be addressed to advance progress. Stakeholders were able to formulate specific recommendations and a participatory theory of change to inform the development of a sustainable landscape management plan and future evidence-based policy that could steer the WWC toward a more resilient and multifunctional system that equitably supports livelihoods, biodiversity, and wider economic development. The methods for inclusive engagement in environmental decision-making are extrapolatable to other contexts facing similar social-environmental challenges.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.377
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.024
GPT teacher head0.304
Teacher spread0.280 · 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