Evidence map›Paper›PMID 39198573›Full record

ReviewNature ecology & evolution2024

Synergies and complementarities between ecosystem accounting and the Red List of Ecosystems.

Hui Xiao, Amanda Driver, Andres Etter, David A Keith, Carl Obst, Michael J Traurig, Emily Nicholson

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature ecology & evolution, 2024. 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. Article
  2. Accounting for functionality in the identification of global conservation priorities: promises and pitfalls.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    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.

Hui XiaoSchool of Life & Environmental Sciences, Deakin University, Burwood, Victoria, Australia.
Amanda DriverIndependent consultant, Cape Town, South Africa.ORCID http://orcid.org/0000-0001-8730-846X
Andres EtterDepartamento de Ecología y Territorio, Facultad de Estudios Ambientales y Rurales, Pontificia Universidad Javeriana, Bogotá, Colombia.
David A KeithCentre for Ecosystem Science, University of New South Wales, Sydney, New South Wales, Australia.ORCID http://orcid.org/0000-0002-7627-4150
Carl ObstInstitute for the Development of Environmental-Economic Accounting, Fairfield, Victoria, Australia.
Michael J TraurigSchool of Life & Environmental Sciences, Deakin University, Burwood, Victoria, Australia.ORCID http://orcid.org/0009-0001-1261-2819
Emily NicholsonSchool of Life & Environmental Sciences, Deakin University, Burwood, Victoria, Australia. emily.nicholson@unimelb.edu.au.ORCID http://orcid.org/0000-0003-2199-3446

Funding

Department of Education and Training | Australian Research Council (ARC) FT190100234Department of Education and Training | Australian Research Council (ARC) LP170101143
6 · The paper itself

Abstract

Safeguarding biodiversity and human well-being depends on sustaining ecosystems. Two global standards for quantifying ecosystem change, the International Union for Conservation of Nature Red List of Ecosystems (RLE) and the United Nations System of Environmental-Economic Accounting Ecosystem Accounting (EA), underpin headline indicators for the Kunming-Montreal Global Biodiversity Framework. We analyse similarities and differences between the standards to understand their complementary roles in environmental policy and decision-making. The standards share key concepts, definitions of ecosystems and spatial data needs, meaning that similar data can be used in both. Their complementarities stem from their differing purposes and thus how data are analysed and interpreted. Although both record changes in ecosystem extent and condition, the RLE analyses the magnitude of change in terms of risk of ecosystem collapse and biodiversity loss, whereas EA links ecosystem change with the ecosystem's contributions to people and the economy. We recommend that the RLE and EA should not be treated as unrelated nor undertaken in isolation. Developing them in concert can exploit their complementarities while ensuring consistency in foundational data, in particular ecosystem classifications, maps and condition variables. Finding pathways for co-investment in foundational data, and for knowledge-sharing between people and organizations who undertake RLE assessments and accounting, will improve both processes and outcomes for biodiversity, ecosystems and people.

Indexed as

BiodiversityConservation of Natural ResourcesEcosystemEnvironmental Policy

Identifiers

What OpenQuestion holds

Textmetadata
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.