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Structured decision-making shows broad support from diverse stakeholders for habitat conservation and restoration in Kenya’s Central Highlands

2024· article· en· W4402739899 on OpenAlex
Gwili E. M. Gibbon, Martin Dallimer, Hassan Golo, Humphrey Munene, Charlene A. Wandera, Monda N. Edson, Jane C. Gachura, Tim Hobbs, Festus Ihwagi, Stephen R. Ikhamati, Samson K. Ikiara, David Kimathi, Francis B. Lenyakopiro, James Mwang'ombe Mwamodenyi, John Mwiti, Rachael Mundia, Justuce Mureithi, Godfrey Mwogora, Priscilla K. Ndiira, Redempta Njeri, Jerenimo Lepirei, Craig Outram, Phineas Rewa, Maurice Schutgens, Silvano Simiyu, Sven Verwiel, Antony Wandera, Don White, Robert J. Smith, Zoe G. Davies

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

VenueLand Use Policy · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicRangeland Management and Livestock Ecology
Canadian institutionsCommunity Based Research Centre
FundersUniversity of Kent
KeywordsHabitatCentral HighlandsGeographyEnvironmental planningEnvironmental resource managementConservationAgroforestryEnvironmental protectionEcologyEnvironmental scienceBiology

Abstract

fetched live from OpenAlex

The need for targeted restoration in regions where ecosystem integrity has become compromised is now widely recognised. Local community views, alongside those of other stakeholders, should be incorporated into transparent decision-making to ensure conservation/restoration activities are successful. We used a structured decision-making approach, working with stakeholders and local communities, to pose and answer the following question for Kenya’s Central Highlands: “ what future land-use options [2030] are feasible for the study region, which is most preferable, how does this vary between different stakeholder groups, and what values drive these preferences? ”. We engaged with 51 individuals from six stakeholder groups ( Big Farms , Conservationists , Counties , Forest Users , Pastoralists , Smallholders ). As individuals, the stakeholders held significantly different values for provisioning, cultural, regulation and maintenance ecosystem services. However, following consensus-building activities within the six groups, shared values and perspectives emerged. The future land-use option of habitat conservation/restoration was preferred by the majority of stakeholder groups, although one ( Big Farms ) favoured increased plantation forestry. Water resource management was also prioritised consistently. By using structured decision-making, we demonstrate that ecosystem restoration is compatible with the views and values of smallholders and forest users, as well as those with a direct interest in conservation. Structured decision-making processes can facilitate stakeholders with disparate views to work towards a consensus regarding future land-use options, aiding environmental planning and implementation. • Ecosystem restoration is needed for biodiversity and ecosystem function recovery. • Structured decision-making is a transparent way to account for stakeholder values. • Individuals in Kenya’s Central Highlands valued ecosystem services differently. • Water management and restoration emerged as priorities from consensus-building. • Structured decision-making helped those with disparate views reach near consensus.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.973

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.033
GPT teacher head0.276
Teacher spread0.243 · 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