Evidence map›Paper›PMID 41503402›Full record

ArticleBioscience2026

The Future of Artificial Intelligence in Ecosystem Modeling.

Scott Spillias, Rowan Trebilco, Matthew P Adams, Fabio Boschetti, Andrew Constable, Piers Dunstan, Simon Ferrier, Javier Porobic, Einat Grimberg, Nicola Grigg and 16 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

26 authors.

Scott SpilliasCSIRO Environment, Hobart, Tasmania, Australia.ORCID https://orcid.org/0000-0002-1310-5202
Rowan TrebilcoCSIRO Environment, Hobart, Tasmania, Australia.ORCID https://orcid.org/0000-0001-9712-8016
Matthew P AdamsSchool of Mathematical Sciences, Centre for Data Science, Queensland University of Technology, Securing Antarctica's Environmental Future, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0003-4875-0225
Fabio BoschettiCSIRO Environment, Hobart, Tasmania, Australia.ORCID https://orcid.org/0000-0001-8999-6913
Andrew ConstableUniversity of Tasmania, Hobart, Tasmania, Australia.ORCID https://orcid.org/0000-0002-4841-2296
Piers DunstanCSIRO Environment, Hobart, Tasmania, Australia.ORCID https://orcid.org/0000-0002-2568-5945
Simon FerrierCSIRO Environment, Canberra, Australian Capital Territory, Australia.
Javier PorobicCSIRO Environment, Hobart, Tasmania, Australia.ORCID https://orcid.org/0000-0001-5642-5372
Einat GrimbergCSIRO Data61, Eveleigh, New South Wales, Australia.ORCID https://orcid.org/0000-0002-0544-6015
Nicola GriggCSIRO Environment, Canberra, Australian Capital Territory, Australia.ORCID https://orcid.org/0000-0002-7601-3866
Michael HarfootVizzuality, Madrid, Spain.ORCID https://orcid.org/0000-0003-2598-8652
Pascal HirschCSIRO Environment, Hobart, Tasmania, Australia.ORCID https://orcid.org/0000-0003-1160-7951
Alistair J HobdayCSIRO Environment, Hobart, Tasmania, Australia.ORCID https://orcid.org/0000-0002-3194-8326
Matthew HoldenUniversity of Queensland, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0001-5135-9433
Trevor HuttonCSIRO Environment, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0002-8747-6196
Sarah KaurCSIRO Data61, Eveleigh, New South Wales, Australia.ORCID https://orcid.org/0009-0009-0060-2523
Jess Melbourne-ThomasCSIRO Environment, Hobart, Tasmania, Australia.ORCID https://orcid.org/0000-0001-6585-876X
Cécile ParisCSIRO Data61, Eveleigh, New South Wales, Australia.ORCID https://orcid.org/0000-0003-3816-0176
Denham ParkerCSIRO Environment, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0001-7641-7804
Éva PlagányiCSIRO Environment, Hobart, Tasmania, Australia.ORCID https://orcid.org/0000-0002-4740-4200
Jacob G D RogersCSIRO Environment, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0002-4724-2555
Cara StitzleinCSIRO Environment, Hobart, Tasmania, Australia.ORCID https://orcid.org/0000-0003-0018-5730
Viveka WeileyCSIRO Data61, Eveleigh, New South Wales, Australia.ORCID https://orcid.org/0000-0003-0683-2425
Karen Wild-AllenCSIRO Environment, Hobart, Tasmania, Australia.ORCID https://orcid.org/0000-0003-3876-464X
Skipton N C WoolleyCSIRO Environment, Hobart, Tasmania, Australia.ORCID https://orcid.org/0000-0001-7022-0509
Elizabeth A FultonCSIRO Environment, Hobart, Tasmania, Australia.ORCID https://orcid.org/0000-0002-5904-7917

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing ecosystem models has traditionally been limited to a small global community of experts because of the complex skills and resources required. However, the emergence of user-friendly artificial intelligence (AI) tools with powerful generative capabilities could democratize ecosystem modeling, enabling both experts and nonspecialists to build models. We explore a speculative future where AI enables automated end-to-end model development and application. Although such tools could accelerate and enhance modeling tasks, their widespread adoption raises concerns about data integrity, bias, interpretation reliability, and the potential erosion of human expertise. We argue that regardless of AI's technical advancement, human engagement and control remain essential. The global community must respond by identifying key factors that distinguish desirable outcomes and developing infrastructure, standards, and ethical guidelines to ensure AI use in ecosystem modeling remains scientifically robust while supporting sustainable and equitable outcomes.

Indexed as

artificial intelligencedecision-makinghuman–AI collaborationrisksocioecological models

Identifiers

PMID41503402
PMCPMC12771517

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.