Evidence map›Paper›PMID 33380902›Full record

ArticleGlobal ecology and biogeography : a journal of macroecology2020

Simulating forest resilience: A review.

Katharina Albrich, Werner Rammer, Monica G Turner, Zak Ratajczak, Kristin H Braziunas, Winslow D Hansen, Rupert Seidl

Abstract read
In one paragraph

Article in Global ecology and biogeography : a journal of macroecology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Post-disturbance reorganization of forest ecosystems in a changing world.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Simulating forest resilience: A review.Global ecology and biogeography : a journal of macroecology · 2020
    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

7 authors.

Katharina AlbrichInstitute of Silviculture University of Natural Resources and Life Sciences (BOKU) Vienna Wien Austria.ORCID https://orcid.org/0000-0002-5157-523X
Werner RammerInstitute of Silviculture University of Natural Resources and Life Sciences (BOKU) Vienna Wien Austria.
Monica G TurnerDepartment of Integrative Biology University of Wisconsin-Madison Madison Wisconsin USA.
Zak RatajczakDepartment of Integrative Biology University of Wisconsin-Madison Madison Wisconsin USA.
Kristin H BraziunasDepartment of Integrative Biology University of Wisconsin-Madison Madison Wisconsin USA.
Winslow D HansenEarth Institute Columbia University New York City New York USA.
Rupert SeidlInstitute of Silviculture University of Natural Resources and Life Sciences (BOKU) Vienna Wien Austria.ORCID https://orcid.org/0000-0002-3338-3402

Funding

Austrian Science Fund FWF Y 895
6 · The paper itself

Abstract

aimSimulation models are important tools for quantifying the resilience (i.e., persistence under changed environmental conditions) of forest ecosystems to global change. We synthesized the modelling literature on forest resilience, summarizing common models and applications in resilience research, and scrutinizing the implementation of important resilience mechanisms in these models. Models applied to assess resilience are highly diverse, and our goal was to assess how well they account for important resilience mechanisms identified in experimental and empirical research. LOCATION: Global. TIME PERIOD: 1994 to 2019. MAJOR TAXA STUDIED: Trees.

methodsWe reviewed the forest resilience literature using online databases, selecting 119 simulation modelling studies for further analysis. We identified a set of resilience mechanisms from the general resilience literature and analysed models for their representation of these mechanisms. Analyses were grouped by investigated drivers (resilience to what) and responses (resilience of what), as well as by the type of model being used.

resultsModels used to study forest resilience varied widely, from analytical approaches to complex landscape simulators. The most commonly addressed questions were associated with resilience of forest cover to fire. Important resilience mechanisms pertaining to regeneration, soil processes, and disturbance legacies were explicitly simulated in only 34 to 46% of the model applications. MAIN

conclusionsWe found a large gap between processes identified as underpinning forest resilience in the theoretical and empirical literature, and those represented in models used to assess forest resilience. Contemporary forest models developed for other goals may be poorly suited for studying forest resilience during an era of accelerating change. Our results highlight the need for a new wave of model development to enhance understanding of and management for resilient forests.

Indexed as

ecosystem modellingliterature reviewmodel developmentprocess‐based modellingresilience processessimulation model

Identifiers

PMID33380902
PMCPMC7756463

What OpenQuestion holds

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Registered trials

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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.