Evidence map›Paper›PMID 40685754›Full record

ReviewEcology2025

Spectral biology across scales in changing environments.

Jeannine Cavender-Bares, Jose Eduardo Meireles, Jesús Pinto-Ledezma, Peter B Reich, Meredith C Schuman, Philip A Townsend, Amy Trowbridge

Abstract readReview
In one paragraph

Review in Ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

7 authors.

Jeannine Cavender-BaresDepartment of Ecology, Evolution and Behavior, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0003-3375-9630
Jose Eduardo MeirelesDepartment of Integrative Biology, University of Maine, Bangor, Maine, USA.
Jesús Pinto-LedezmaDepartment of Ecology, Evolution and Behavior, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0001-6668-9670
Peter B ReichDepartment of Forest Resources, University of Minnesota, Minneapolis, Minnesota, USA.
Meredith C SchumanDepartment of Geography and Department of Chemistry, University of Zurich, Zurich, Switzerland.
Philip A TownsendDepartment of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0001-7003-8774
Amy TrowbridgeDepartment of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, Wisconsin, USA.

Funding

Division of Biological Infrastructure NSF-DBI-2021898
6 · The paper itself

Abstract

Understanding ecosystem processes on our rapidly changing planet requires integration across spatial, temporal, and biological scales. We propose that spectral biology, using tools that enable near- to far-range sensing by capturing the interaction of energy with matter across domains of the electromagnetic spectrum, will increasingly enable ecological insights across scales from cells to continents. Here, we focus on advances using spectroscopy in the visible to short-wave infrared, chlorophyll fluorescence-detecting systems, and optical laser scanning (light detection and ranging, LiDAR) to introduce the topic and special feature. Remote sensing using these tools, in conjunction with in situ measurements, can powerfully capture ecological and evolutionary processes in changing environments. These tools are amenable to capturing variation in life processes across biological scales that span physiological, evolutionary, and macroecological hierarchies. We point out key areas of spectral biology with high potential to advance understanding and monitoring of ecological processes across scales-particularly at large spatial extents-in the face of rapid global change. These include: the detection of plant and ecosystem composition, diversity, structure, and function as well as their relationships; detection of the causes and consequences of environmental stress, including disease and drought, for ecosystems; and detection of change through time in ecosystems over large spatial extents to discern variation in and mechanisms underlying their resistance, recovery, and resilience in the face of disturbance. We discuss opportunities for spectral biology to discover previously unseen variation and novel processes and to prepare the field of ecology for novel computational tools on the horizon with vast new capabilities for monitoring the ecology of our changing planet.

Indexed as

Climate ChangeEcosystemEnvironmental MonitoringSpectrum AnalysisRemote Sensing Technology

Identifiers

PMID40685754
PMCPMC12277874

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.