Evidence map›Paper›PMID 34543495›Full record

ArticleGlobal change biology2022

Increasing the spatial and temporal impact of ecological research: A roadmap for integrating a novel terrestrial process into an Earth system model.

Emily Kyker-Snowman, Danica L Lombardozzi, Gordon B Bonan, Susan J Cheng, Jeffrey S Dukes, Serita D Frey, Elin M Jacobs, Risa McNellis, Joshua M Rady, Nicholas G Smith and 3 more

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Global change biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
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

4 citing papers in PubMed, 65 citations in OpenAlex.

  1. Article
  2. Article
  3. Corrigendum.Global change biology · 2022
    Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 6 institutions in 1 country.

Emily Kyker-SnowmanDepartment of Natural Resources and the Environment, University of New Hampshire, Durham, New Hampshire, USA.ORCID 0000-0003-1782-1916
Danica L LombardozziClimate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, Colorado, USA.ORCID 0000-0003-3557-7929
Gordon B BonanClimate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, Colorado, USA.ORCID 0000-0003-0830-6437
Susan J ChengDepartment of Ecology and Evolutionary Biology and Center for Research on Learning and Teaching, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0001-7222-2268
Jeffrey S DukesDepartment of Forestry and Natural Resources, Purdue University, West Lafayette, Indiana, USA.ORCID 0000-0001-9482-7743
Serita D FreyDepartment of Natural Resources and the Environment, University of New Hampshire, Durham, New Hampshire, USA.ORCID 0000-0002-9221-5919
Elin M JacobsDepartment of Forestry and Natural Resources, Purdue University, West Lafayette, Indiana, USA.ORCID 0000-0001-5697-7628
Risa McNellisDepartment of Biological Sciences, Texas Tech University, Lubbock, Texas, USA.ORCID 0000-0002-3538-9269
Joshua M RadyDepartment of Forest Resources and Environmental Conservation, Virginia Tech, Blacksburg, Virginia, USA.ORCID 0000-0002-7806-136X
Nicholas G SmithDepartment of Biological Sciences, Texas Tech University, Lubbock, Texas, USA.ORCID 0000-0001-7048-4387
R Quinn ThomasDepartment of Forest Resources and Environmental Conservation, Virginia Tech, Blacksburg, Virginia, USA.ORCID 0000-0003-1282-7825
William R WiederClimate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, Colorado, USA.ORCID 0000-0001-7116-1985
A Stuart GrandyDepartment of Natural Resources and the Environment, University of New Hampshire, Durham, New Hampshire, USA.ORCID 0000-0002-3214-2295
NSF National Center for Atmospheric Research · USUniversity of New Hampshire · USPurdue University West Lafayette · USTexas Tech University · USVirginia Tech · USUniversity of Michigan · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Terrestrial ecosystems regulate Earth's climate through water, energy, and biogeochemical transformations. Despite a key role in regulating the Earth system, terrestrial ecology has historically been underrepresented in the Earth system models (ESMs) that are used to understand and project global environmental change. Ecology and Earth system modeling must be integrated for scientists to fully comprehend the role of ecological systems in driving and responding to global change. Ecological insights can improve ESM realism and reduce process uncertainty, while ESMs offer ecologists an opportunity to broadly test ecological theory and increase the impact of their work by scaling concepts through time and space. Despite this mutualism, meaningfully integrating the two remains a persistent challenge, in part because of logistical obstacles in translating processes into mathematical formulas and identifying ways to integrate new theories and code into large, complex model structures. To help overcome this interdisciplinary challenge, we present a framework consisting of a series of interconnected stages for integrating a new ecological process or insight into an ESM. First, we highlight the multiple ways that ecological observations and modeling iteratively strengthen one another, dispelling the illusion that the ecologist's role ends with initial provision of data. Second, we show that many valuable insights, products, and theoretical developments are produced through sustained interdisciplinary collaborations between empiricists and modelers, regardless of eventual inclusion of a process in an ESM. Finally, we provide concrete actions and resources to facilitate learning and collaboration at every stage of data-model integration. This framework will create synergies that will transform our understanding of ecology within the Earth system, ultimately improving our understanding of global environmental change, and broadening the impact of ecological research.

Indexed as

Earth, PlanetEcosystemEcologyUncertaintyWaterWatercollaborative bridgingdata-model integrationEarth system modelsglobal ecologyhistory of modelsinterdisciplinary workflowmodeling across scales

Identifiers

PMID34543495
PMCPMC9293342
OpenAlexW3200145679

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.