Evidence map›Paper›PMID 40756872›Full record

ArticleJournal of the Royal Society of New Zealand2025

Modelling to identify direct risks for New Zealand agriculture due to climate change.

Linda Lilburne, Anne-Gaelle Ausseil, Abha Sood, Jing Guo, Edmar Teixeira, Indrakumar Vetharaniam, Tony van der Weerden, Hugh Smith, Andrew Neverman, Rogerio Cichota and 4 more

Abstract read
In one paragraph

Article in Journal of the Royal Society of New Zealand, 2025. 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

14 authors.

Linda LilburneManaaki Whenua - Landcare Research, Lincoln, New Zealand.ORCID https://orcid.org/0000-0001-8886-6754
Anne-Gaelle AusseilMinistry for the Environment, Wellington, New Zealand.
Abha SoodNIWA, Wellington, New Zealand.
Jing GuoManaaki Whenua - Landcare Research, Lincoln, New Zealand.
Edmar TeixeiraPlant & Food Research, Lincoln, New Zealand.
Indrakumar VetharaniamPlant & Food Research, Palmerston North, New Zealand.
Tony van der WeerdenAgResearch, Invermay, New Zealand.
Hugh SmithManaaki Whenua - Landcare Research, Palmerston North, New Zealand.
Andrew NevermanManaaki Whenua - Landcare Research, Palmerston North, New Zealand.ORCID https://orcid.org/0000-0003-3445-162X
Rogerio CichotaPlant & Food Research, Lincoln, New Zealand.
Craig PhillipsAgResearch, Lincoln, New Zealand.
Patricia JohnsonAgResearch, Invermay, New Zealand.
Steve ThomasPlant & Food Research, Lincoln, New Zealand.
Robyn DynesAgResearch, Lincoln, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change will affect New Zealand's diverse range of climatic systems in different ways. The impacts on agriculture are expected to vary with geographical location and the specific biophysical requirements of different crops and agricultural systems. To improve our understanding of these impacts, key biophysical vulnerabilities for the main farming systems in New Zealand were identified and modelled using the daily projected climate scenario data. Results show high spatial variability but a general pattern of suitability ranges for crops moving south, and animal health issues intensifying and also moving south. Sediment loads are projected to increase, particularly in soft-rock hill country areas in the North Island. The modelling approach offers opportunities for analysing the temporal significance of projected changes, such as the timing and duration of drought, the effect on timing of phenological stages, the timing of pasture growth and the effect on animal farm systems.

Indexed as

arableHazardshorticulturepastoralvulnerabilities

Identifiers

PMID40756872
PMCPMC12315213

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.