Safeguarding nocturnal pollinators for food security in sub-Saharan Africa

Nocturnal pollinators are vital for food security in sub-Saharan Africa, yet they face numerous threats, including habitat loss, light pollution, and climate change. Understanding these combined risks and implementing targeted management strategies to protect them is essential for ensuring sustainable agriculture, food security, and biodiversity in the region.

Authors

Institutions

Publication Details

Journal
Trends in Ecology & Evolution
Published
2025-09-01
DOI
https://doi.org/10.1016/j.tree.2025.08.002
Primary Topic
Plant and animal studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Safeguarding nocturnal pollinators for food security in sub-Saharan Africa

Mark Otieno, Ingolf Steffan‐Dewenter, Marcell K. Peters
Trends in Ecology & Evolution
Plant and animal studies
article

Safeguarding nocturnal pollinators for food security in sub-Saharan Africa

Mark Otieno, Ingolf Steffan‐Dewenter, Marcell K. Peters
article en

Abstract

Nocturnal pollinators are vital for food security in sub-Saharan Africa, yet they face numerous threats, including habitat loss, light pollution, and climate change. Understanding these combined risks and implementing targeted management strategies to protect them is essential for ensuring sustainable agriculture, food security, and biodiversity in the region.

Trends in Ecology & EvolutionVol. 40(10)
University of Würzburg (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 81%
Plant and animal studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.