Evidence map›Paper›PMID 42016945›Full record

ArticleEcology and evolution2026

Butterfly Diversity in a Sacred Kaya Forest in Southern Kenya.

Laura Wagner, Jan Christian Habel, Maria Fungomeli, Mike Teucher, Thomas Schmitt

Abstract read
In one paragraph

Article in Ecology and evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Laura WagnerSenckenberg - Leibniz Institution for Biodiversity and Earth System Research Senckenberg German Entomological Institute Müncheberg Germany.
Jan Christian HabelEvolutionary Zoology, Department of Environment and Biodiversity University of Salzburg Salzburg Austria.ORCID https://orcid.org/0000-0003-1378-9381
Maria FungomeliCoastal Forests Conservation Unit Centre for Biodiversity, National Museums of Kenya Kilifi Kenya.ORCID https://orcid.org/0000-0002-8963-6405
Mike TeucherDepartment of Geoecology, Institute for Geosciences and Geography Martin Luther University Halle-Wittenberg Halle/Saale Germany.
Thomas SchmittSenckenberg - Leibniz Institution for Biodiversity and Earth System Research Senckenberg German Entomological Institute Müncheberg Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Habitat destruction and the deterioration of habitat quality are among the main drivers causing worldwide biodiversity loss. The lowland tropical dry forests of the East African coastal region, a hotspot of endemism, have been negatively affected by anthropogenic activities over the last few centuries. Today, only small remnants of these forests with their pristine flora and fauna still exist. It is questionable to what extent the original biodiversity can persist in such small and isolated habitat remnants. Butterflies respond highly sensitively to environmental changes. In this study, we analysed butterfly community structures across a habitat mosaic consisting of natural ecosystems and anthropogenic agro-environments in southern Kenya. Butterflies were counted along line-transects in dense forest, along the forest margin, and in neighbouring pastures and orchards; several biotic and abiotic parameters were assessed for all transect sections (e.g., addressing the vegetation structure). Data collection was conducted during the rainy and dry season, as well as during the transition between both seasons. We compiled species specific traits on the butterfly species ecology, distribution, and behaviour. The obtained results revealed significant differentiation among the butterfly communities in natural forest, forest margins, and in the anthropogenic ecosystems. Although both butterfly diversity and abundance were lowest inside the natural forest, vulnerable forest specialist species occurred restricted to the forest and were absent from anthropogenic ecosystems. The butterfly communities found in the agro-environments were species-rich if compared with the natural forest ecosystem, but dominated by generalist species. From the dry to the rainy season, species numbers increased in all habitat types, but the number of individuals increased only at forest margins and in pastures. This underlines the buffering effect against drought in forests but also in orchards. In general, our data underline that no surrogate habitat exists for typical forest butterflies. This underlines the high ecological relevance of such forest remnants and confirms the necessity of strict conservation of these last remnants of lowland dry forest.

Indexed as

biodiversity hotspotbutterfliesgeneralist specieshabitat mosaicseasonalityspecialist speciestransect counts

Identifiers

PMID42016945
PMCPMC13093687

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.