Evidence map›Paper›PMID 38560619›Full record

ReviewBioscience2024

The potential of historical spy-satellite imagery to support research in ecology and conservation.

Catalina Munteanu, Benjamin M Kraemer, Henry H Hansen, Sofia Miguel, E J Milner-Gulland, Mihai Nita, Igor Ogashawara, Volker C Radeloff, Simone Roverelli, Oleksandra O Shumilova and 2 more

Open access · hybridAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Bioscience, 2024. 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
16.6field-weighted citation impact, top 1% 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

1 citing paper in PubMed, 18 citations in OpenAlex.

  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

12 authors at 8 institutions in 6 countries.

Catalina MunteanuWildlife Ecology and Management, University of Freiburg, Freiburg, Germany.ORCID https://orcid.org/0000-0003-1616-9639
Benjamin M KraemerEnvironmental Hydrological Systems at the University of Freiburg, Freiburg, Germany.ORCID https://orcid.org/0000-0002-3390-9005
Henry H HansenTechnology Department of Environmental and Life Sciences Biology at Karlstad University, Karlstad, Sweden.ORCID https://orcid.org/0000-0001-8630-2875
Sofia MiguelDepartamento de Geología, Geografía, y Medio Ambiente, Environmental Remote Sensing Research Group, Universidad de Alcalá, Alcalá de Henares, Spain.
E J Milner-GullandDepartment of Biology at the University of Oxford, Oxford, England, United Kingdom.ORCID https://orcid.org/0000-0003-0324-2710
Mihai NitaDepartment of Forest Engineering, in the Faculty of Silviculture and Forest Engineering, Transilvania University of Brasov, Brasov, Romania.ORCID https://orcid.org/0000-0002-6072-7784
Igor OgashawaraLeibniz Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany.ORCID https://orcid.org/0000-0001-6328-0001
Volker C RadeloffSILVIS Lab, in the Department of Forest and Wildlife Ecology at the University of Wisconsin-Madison, Madison, Wisconsin, United States.ORCID https://orcid.org/0000-0001-9004-221X
Simone RoverelliWildlife Ecology and Management, University of Freiburg, Freiburg, Germany.
Oleksandra O ShumilovaLeibniz Institut of Freshwater Ecology and Inland Fisheries, Berlin, Germany.ORCID https://orcid.org/0000-0002-6270-7242
Ilse StorchWildlife Ecology and Managementm University of Freiburg, Freiburg, Germany.ORCID https://orcid.org/0000-0002-3252-2036
Tobias KuemmerleGeography Department and the Integrative Research Institute on Transformations of Human-Environment Systems, Humboldt University of Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0002-9775-142X
University of Freiburg · DELeibniz Institute of Freshwater Ecology and Inland Fisheries · DEHumboldt-Universität zu Berlin · DEKarlstad University · SETransylvania University of Brașov · ROUniversidad de Alcalá · ESUniversity of Oxford · GBUniversity of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Remote sensing data are important for assessing ecological change, but their value is often restricted by their limited temporal coverage. Major historical events that affected the environment, such as those associated with colonial history, World War II, or the Green Revolution are not captured by modern remote sensing. In the present article, we highlight the potential of globally available black-and-white satellite photographs to expand ecological and conservation assessments back to the 1960s and to illuminate ecological concepts such as shifting baselines, time-lag responses, and legacy effects. This historical satellite photography can be used to monitor ecosystem extent and structure, species' populations and habitats, and human pressures on the environment. Even though the data were declassified decades ago, their use in ecology and conservation remains limited. But recent advances in image processing and analysis can now unlock this research resource. We encourage the use of this opportunity to address important ecological and conservation questions.

Indexed as

Cold Warecosystem extentecosystem structurehuman pressurespecies habitats and populationsspy-satellite images

Identifiers

PMID38560619
PMCPMC10977866
OpenAlexW4393331553

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.