Evidence map›Paper›PMID 40923094›Full record

ArticleConservation biology : the journal of the Society for Conservation Biology2025

Prospects and perils in the geospatial turn of conservation.

Jocelyne Shimin Sze, Laura Aileen Sauls

Abstract read
In one paragraph

Article in Conservation biology : the journal of the Society for Conservation Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Centering geospatial data uncertainty and the potential for injustice in pastoralist rangeland conservation prioritization.Conservation biology : the journal of the Society for Conservation Biology · 2026
    Article
  2. Prospects and perils in the geospatial turn of conservation.Conservation biology : the journal of the Society for Conservation Biology · 2025
    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

2 authors.

Jocelyne Shimin SzeInstitut de Ciencia i Tecnologia Ambientales (ICTA-UAB), Universitat Autonoma de Barcelona, Bellaterra, Spain.ORCID 0000-0001-8183-766X
Laura Aileen SaulsGlobal Affairs Program, George Mason University, Fairfax, Virginia, USA.

Funding

Economic and Social Research Council ES/Y002660/1European Research Council 101054259European Research Council CONDJUSTEuropean Research Council ERC-2021-ADG
6 · The paper itself

Abstract

Conservation has embraced advances in big data and related digital technologies as key to preventing biodiversity loss, especially in the identification of areas of conservation priority based on spatial data, which we call the big geospatial data turn. This turn has led to the proliferation of useful methods and tools, including global geospatial maps. But these methods may also undermine moves toward rights-based and inclusive conservation approaches that consider plural values and perspectives. We built on the burgeoning literature to call for greater attention to be paid to the datasets, methodological choices, and the assumptions global mapping for biodiversity conservation is based on. In increasingly prioritizing the use of big geospatial data, conservation professionals risk forgetting that maps show only partial information and limit the diversity of ways of seeing and representing the world. Big geospatial data collected through remotely sensed technologies must still be situated in time and place and provided with appropriate political-economic and sociocultural contexts. Further, global mapping efforts remain primarily the purview of Global North researchers, even given the push to make data open access. Instead of uncritically calling for more data, we urge conservationists to contextualize and situate big geospatial data carefully so as to build a field that achieves socially just and ecologically effective conservation outcomes.

Indexed as

Big DataBiodiversityConservation of Natural Resourcesbig geospatial datadata justicedecision‐makingGISglobal mapsJusticia de datosmacrodatos geoespacialesmapas globalesSIGtoma de decisiones全球地图决策地理空间大数据数据正义

Identifiers

PMID40923094
PMCPMC12658930

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.