Forest disturbance impacts the demography of an endemic rodent within the Eastern Arc Mountains

Though information on the population dynamics and reproduction of the endemic delectable soft-furred mouse, Praomys delectorum, abound, the impact of anthropogenic disturbances on these parameters is still not known. This study investigated the impact of anthropogenic disturbances on the breeding pattern, population structure, and sex ratios of P. delectorum. The capture-mark-recapture technique was used to trap rodents from June 2018 to February 2020 in the Ukaguru Mountains within the Eastern Arc Mountains, Tanzania, where four 60 m × 60 m grids were set, two in intact sites and two in disturbed sites. More significant males were trapped in intact forests (χ2 = 10.71, df = 1, p = 0.001) compared to disturbed forests. The population density of P. delectorum varied temporally with peaks attained in the wet season in both habitats. Population structure showed few juveniles in most months and sub-adults accounted for the population increases in the wet seasons in all habitats. The proportion of reproductively active individuals varied temporally in both disturbed and intact forests while habitat disturbance showed no effect on the breeding activity of this species. Overall, these results suggest season as a factor responsible for the varying reproductive activity and population structure of P. delectorum in the landscape.

Authors

Institutions

Publication Details

Journal
Geology Ecology and Landscapes
Published
2026-03-09
DOI
https://doi.org/10.1080/24749508.2026.2640698
Primary Topic
Animal Ecology and Behavior Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Forest disturbance impacts the demography of an endemic rodent within the Eastern Arc Mountains

Rhodes H. Makundi, Olaoluwa John Ademola, Loth S. Mulungu, Apia W. Massawe
Geology Ecology and Landscapes
Animal Ecology and Behavior Studies
article

Forest disturbance impacts the demography of an endemic rodent within the Eastern Arc Mountains

Rhodes H. Makundi, Olaoluwa John Ademola, Loth S. Mulungu, Apia W. Massawe
article en

Abstract

Though information on the population dynamics and reproduction of the endemic delectable soft-furred mouse, Praomys delectorum, abound, the impact of anthropogenic disturbances on these parameters is still not known. This study investigated the impact of anthropogenic disturbances on the breeding pattern, population structure, and sex ratios of P. delectorum. The capture-mark-recapture technique was used to trap rodents from June 2018 to February 2020 in the Ukaguru Mountains within the Eastern Arc Mountains, Tanzania, where four 60 m × 60 m grids were set, two in intact sites and two in disturbed sites. More significant males were trapped in intact forests (χ2 = 10.71, df = 1, p = 0.001) compared to disturbed forests. The population density of P. delectorum varied temporally with peaks attained in the wet season in both habitats. Population structure showed few juveniles in most months and sub-adults accounted for the population increases in the wet seasons in all habitats. The proportion of reproductively active individuals varied temporally in both disturbed and intact forests while habitat disturbance showed no effect on the breeding activity of this species. Overall, these results suggest season as a factor responsible for the varying reproductive activity and population structure of P. delectorum in the landscape.

Geology Ecology and Landscapes
University of Ilorin (NG), Sokoine University of Agriculture (TZ)
Openalex Percentile: Top 38%
Animal Ecology and Behavior 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.