Evidence map›Paper›PMID 38515765›Full record

ArticleJournal of biogeography2024

Potential sources of time lags in calibrating species distribution models.

Franz Essl, Adrián García-Rodríguez, Bernd Lenzner, Jake M Alexander, César Capinha, Pierre Gaüzère, Antoine Guisan, Ingolf Kühn, Jonathan Lenoir, David M Richardson and 5 more

Abstract read
In one paragraph

Article in Journal of biogeography, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Species range shifts often speed ahead of their modeled climatic niches.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Predicting Suitable Habitat forEcology and evolution · 2025
    Article
  8. Article
  9. Article
  10. 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

15 authors.

Franz EsslDivision of BioInvasions, Global Change & Macroecology, Department of Botany and Biodiversity Research University of Vienna Vienna Austria.ORCID https://orcid.org/0000-0001-8253-2112
Adrián García-RodríguezDivision of BioInvasions, Global Change & Macroecology, Department of Botany and Biodiversity Research University of Vienna Vienna Austria.
Bernd LenznerDivision of BioInvasions, Global Change & Macroecology, Department of Botany and Biodiversity Research University of Vienna Vienna Austria.ORCID https://orcid.org/0000-0002-2616-3479
Jake M AlexanderInstitute of Integrative Biology, ETH Zurich Zurich Switzerland.
César CapinhaCentre of Geographical Studies Institute of Geography and Spatial Planning, University of Lisbon Lisboa Portugal.
Pierre GaüzèreUniv. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS LECA Grenoble F-38000 France.
Antoine GuisanUniversity of Lausanne Lausanne Switzerland.
Ingolf KühnHelmholtz Centre for Environmental Research - UFZ Halle Germany.
Jonathan LenoirUMR CNRS 7058, Ecologie et Dynamique des Systèmes Anthropisés (EDYSAN) Université de Picardie Jules Verne Amiens France.ORCID https://orcid.org/0000-0003-0638-9582
David M RichardsonDepartment of Botany and Zoology, Centre for Invasion Biology Stellenbosch University Stellenbosch South Africa.
Sabine B RumpfDepartment of Environmental Sciences University of Basel Basel Switzerland.ORCID https://orcid.org/0000-0001-5909-9568
Jens-Christian SvenningDepartment of Biology, Center for Ecological Dynamics in a Novel Biosphere (ECONOVO) & Center for Biodiversity Dynamics in a Changing World (BIOCHANGE) Aarhus University Aarhus Denmark.ORCID https://orcid.org/0000-0002-3415-0862
Wilfried ThuillerUniv. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS LECA Grenoble F-38000 France.ORCID https://orcid.org/0000-0002-5388-5274
Damaris ZurellInstitute for Biochemistry and Biology University of Potsdam Potsdam Germany.ORCID https://orcid.org/0000-0002-4628-3558
Stefan DullingerDivision of Biodiversity Dynamics and Conservation, Department of Botany and Biodiversity Research University of Vienna Vienna Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Anthropocene is characterized by a rapid pace of environmental change and is causing a multitude of biotic responses, including those that affect the spatial distribution of species. Lagged responses are frequent and species distributions and assemblages are consequently pushed into a disequilibrium state. How the characteristics of environmental change-for example, gradual 'press' disturbances such as rising temperatures due to climate change versus infrequent 'pulse' disturbances such as extreme events-affect the magnitude of responses and the relaxation times of biota has been insufficiently explored. It is also not well understood how widely used approaches to assess or project the responses of species to changing environmental conditions can deal with time lags. It, therefore, remains unclear to what extent time lags in species distributions are accounted for in biodiversity assessments, scenarios and models; this has ramifications for policymaking and conservation science alike. This perspective piece reflects on lagged species responses to environmental change and discusses the potential consequences for species distribution models (SDMs), the tools of choice in biodiversity modelling. We suggest ways to better account for time lags in calibrating these models and to reduce their leverage effects in projections for improved biodiversity science and policy.

Indexed as

climate changeclimatic debtcolonization creditextinction debtinvasion debtmismatchnicheprojectionspecies distribution models

Identifiers

PMID38515765
PMCPMC10952696

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.