Evidence map›Paper›PMID 33144939›Full record

ReviewEcology and evolution2020

Toward reliable habitat suitability and accessibility models in an era of multiple environmental stressors.

Hanne De Kort, Michel Baguette, Jonathan Lenoir, Virginie M Stevens

Abstract readReview
In one paragraph

Review in Ecology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Habitat Suitability Assessment of Milu (Animals : an open access journal from MDPI · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Habitat Suitability ofEcology and evolution · 2025
    Article
  6. Distribution Shifts ofAnimals : an open access journal from MDPI · 2025
    Article
  7. Article
  8. Predicting the Potential Distribution of the Szechwan Rat Snake (Animals : an open access journal from MDPI · 2023
    Article
  9. Article
  10. Article
  11. Review
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.

Hanne De KortPlant Conservation and Population Biology Biology Department University of Leuven Leuven Belgium.ORCID https://orcid.org/0000-0003-2516-0134
Michel BaguetteStation d'Ecologie Théorique et Expérimentale (UMR 5321 SETE) National Center for Scientific Research (CNRS) Université Toulouse III - Paul Sabatier Moulis France.
Jonathan LenoirUR "Ecologie et Dynamique des Systèmes Anthropisés" (EDYSAN UMR 7058 CNRS-UPJV) Université de Picardie Jules Verne Amiens Cedex 1 France.
Virginie M StevensStation d'Ecologie Théorique et Expérimentale (UMR 5321 SETE) National Center for Scientific Research (CNRS) Université Toulouse III - Paul Sabatier Moulis France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global biodiversity declines, largely driven by climate and land-use changes, urge the development of transparent guidelines for effective conservation strategies. Species distribution modeling (SDM) is a widely used approach for predicting potential shifts in species distributions, which can in turn support ecological conservation where environmental change is expected to impact population and community dynamics. Improvements in SDM accuracy through incorporating intra- and interspecific processes have boosted the SDM field forward, but simultaneously urge harmonizing the vast array of SDM approaches into an overarching, widely adoptable, and scientifically justified SDM framework. In this review, we first discuss how climate warming and land-use change interact to govern population dynamics and species' distributions, depending on species' dispersal and evolutionary abilities. We particularly emphasize that both land-use and climate change can reduce the accessibility to suitable habitat for many species, rendering the ability of species to colonize new habitat and to exchange genetic variation a crucial yet poorly implemented component of SDM. We then unite existing methodological SDM practices that aim to increase model accuracy through accounting for multiple global change stressors, dispersal, or evolution, while shifting our focus to model feasibility. We finally propose a roadmap harmonizing model accuracy and feasibility, applicable to both common and rare species, particularly those with poor dispersal abilities. This roadmap (a) paves the way for an overarching SDM framework allowing comparison and synthesis of different SDM studies and (b) could advance SDM to a level that allows systematic integration of SDM outcomes into effective conservation plans.

Indexed as

Anthropocenebiological conservationecological niche modelingglobal changehabitat suitability modelingmanagementspecies range shiftsstacked species distribution model

Identifiers

PMID33144939
PMCPMC7593202

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.