Modelling habitat suitability for the Critically Endangered Manumea or Tooth-Billed Pigeon (Didunculus strigirostris) using past and present baselines

Evidence-based conservation can be hindered by limited field data, but historical archives have potential to provide unique insights into conservation-relevant parameters such as distribution of suitable habitat. The Manumea or Tooth-Billed Pigeon (Didunculus strigirostris) has declined on Samoa and only a tiny remnant population still persists, and a key first step for conservation is to locate surviving birds. Numerous Manumea records are available from the nineteenth century onwards, and we use historical and modern records to generate a series of species distribution models to predict distribution of suitable habitat across Samoa to guide new field searches. Manumea distribution is closely associated with forest cover or its proxies. Preferred Manumea food plants are suggested to be low-elevation trees, but elevation provides relatively low percentage contribution in most models, thus not excluding the possibility that Manumea might occur at high elevations. There is also little evidence for elevational change in records over the past century. Models based on visual versus acoustic records exhibit differences in predicted habitat suitability, suggesting that some purported acoustic records might not actually represent Manumea calls. Field searches should target areas representing high habitat suitability across all models, notably the forested central axis of Upolu.

Publication Details

Journal
UCL Discovery (University College London)
Published
2024-10-31
Primary Topic
Global Maternal and Child Health
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Modelling habitat suitability for the Critically Endangered Manumea or Tooth-Billed Pigeon (Didunculus strigirostris) using past and present baselines

UCL Discovery (University College London)
Global Maternal and Child Health
article

Modelling habitat suitability for the Critically Endangered Manumea or Tooth-Billed Pigeon (Didunculus strigirostris) using past and present baselines

article en

Abstract

Evidence-based conservation can be hindered by limited field data, but historical archives have potential to provide unique insights into conservation-relevant parameters such as distribution of suitable habitat. The Manumea or Tooth-Billed Pigeon (Didunculus strigirostris) has declined on Samoa and only a tiny remnant population still persists, and a key first step for conservation is to locate surviving birds. Numerous Manumea records are available from the nineteenth century onwards, and we use historical and modern records to generate a series of species distribution models to predict distribution of suitable habitat across Samoa to guide new field searches. Manumea distribution is closely associated with forest cover or its proxies. Preferred Manumea food plants are suggested to be low-elevation trees, but elevation provides relatively low percentage contribution in most models, thus not excluding the possibility that Manumea might occur at high elevations. There is also little evidence for elevational change in records over the past century. Models based on visual versus acoustic records exhibit differences in predicted habitat suitability, suggesting that some purported acoustic records might not actually represent Manumea calls. Field searches should target areas representing high habitat suitability across all models, notably the forested central axis of Upolu.

UCL Discovery (University College London)
Imperial College London, Research England
Life in Land
Openalex Percentile: Top 33%
Global Maternal and Child Health
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.