Evidence map›Paper›PMID 42396573›Full record

ArticleEcology and evolution2026

Teaching Macrosystems Ecology Concepts With a Collaborative, Adaptable Education Module.

Megan C Malish, Shang Gao, Daniel C Allen, Thomas M Neeson

Abstract read
In one paragraph

Article in Ecology and evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Megan C MalishDepartment of Geography and Environmental Sustainability University of Oklahoma Norman Oklahoma USA.ORCID https://orcid.org/0000-0002-3643-8317
Shang GaoSchool of Natural Resources and the Environment University of Arizona Tucson Arizona USA.
Daniel C AllenDepartment of Ecosystem Science and Management Pennsylvania State University State College Pennsylvania USA.
Thomas M NeesonDepartment of Geography and Environmental Sustainability University of Oklahoma Norman Oklahoma USA.ORCID https://orcid.org/0000-0001-6758-0511

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Macrosystems ecology offers a powerful set of concepts and tools for understanding large-scale environmental challenges. Training students to understand and apply these ideas can be challenging, as it requires students to engage with complex concepts and advanced technical skills. To address these challenges, we developed an education module to teach students the conceptual and technical skills necessary for macrosystems ecology research. The relatively short, two-part module facilitates students' exploration of the role of cross-scale interactions, a fundamental macrosystems concept, through applications to stream hydrology. We implemented the education module in a university course with mixed undergraduate and graduate student enrollment and used learning assessments to evaluate the effectiveness of the module. We found that the module increased students' self-reported proficiency and confidence in understanding and interpreting large geospatial datasets. Students also demonstrated increased knowledge of cross-scale interactions after completion of the module. Notably, we found evidence that synthesis of ideas through collaborative learning was a key driver of gains in student outcomes. Our study demonstrates an effective approach for teaching difficult concepts and skills relevant to macrosystems ecology research. Our education module is flexible and adaptable, and could be implemented broadly in STEM courses to teach macrosystems concepts to a wide range of students.

Indexed as

collaborative learningcross‐scale interactionecology educationmacrosystems ecology

Identifiers

PMID42396573
PMCPMC13322780

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.