Evidence map›Paper›PMID 31679487›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2019

Shifted distribution baselines: neglecting long-term biodiversity records risks overlooking potentially suitable habitat for conservation management.

Sophie Monsarrat, Peter Novellie, Ian Rushworth, Graham Kerley

Abstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
  2. Predicting the distribution ofFrontiers in plant science · 2026
    Article
  3. Article
  4. New Perspectives on European Wildcat (Ecology and evolution · 2025
    Article
  5. Article
  6. Preventing extinction in an age of species migration and planetary change.Conservation biology : the journal of the Society for Conservation Biology · 2024
    Article
  7. Article
  8. Article
  9. Ecological marginalization is widespread and increases extinction risk in mammals.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Unshifting the baseline: a framework for documenting historical population changes and assessing long-term anthropogenic impacts.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  14. Anthropocene refugia: integrating history and predictive modelling to assess the space available for biodiversity in a human-dominated world.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  15. Insights from the past: unique opportunity or foreign country?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  16. Article
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

4 authors.

Sophie MonsarratCentre for African Conservation Ecology, Nelson Mandela University, Port Elizabeth 6031, South Africa.
Peter NovellieCentre for African Conservation Ecology, Nelson Mandela University, Port Elizabeth 6031, South Africa.
Ian RushworthEzemvelo KZN Wildlife, Pietermaritzburg, South Africa.
Graham KerleyCentre for African Conservation Ecology, Nelson Mandela University, Port Elizabeth 6031, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Setting appropriate conservation measures to halt the loss of biodiversity requires a good understanding of species' habitat requirements and potential distribution. Recent (past few decades) ecological data are typically used to estimate and understand species' ecological niches. However, historical local extinctions may have truncated species-environment relationships, resulting in a biased perception of species' habitat preferences. This may result in incorrect assessments of the area potentially available for their conservation. Incorporating long-term (centuries-old) occurrence records with recent records may provide better information on species-environment relationships and improve the modelling and understanding of habitat suitability. We test whether neglecting long-term occurrence records leads to an underestimation of species' historical niche and potential distribution and identify which species are more vulnerable to this effect. We compare outputs of species distribution models and niche hypervolumes built using recent records only with those built using both recent and long-term (post-1500) records, for a set of 34 large mammal species in South Africa. We find that, while using recent records only is adequate for some species, adding historical records in the analyses impacts estimates of the niche and habitat suitability for 12 species (34%) in our dataset, and that this effect is significantly higher for carnivores. These results show that neglecting long-term biodiversity records in spatial analyses risks misunderstanding, and generally underestimating, species' niches, which in turn may lead to ill-informed management decisions, with significant implications for the effectiveness of conservation efforts. This article is part of a discussion meeting issue 'The past is a foreign country: how much can the fossil record actually inform conservation?'

Indexed as

BiodiversityMammalsAnimalsConservation of Natural ResourcesEcosystemSouth Africahabitat suitability modelshistorical ecologymegafaunanatural rangenichereintroduction

Identifiers

PMID31679487
PMCPMC6863494

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.