Evidence map›Paper›PMID 35363880›Full record

ArticleThe New phytologist2022

Towards species-level forecasts of drought-induced tree mortality risk.

Martin G De Kauwe, Manon E B Sabot, Belinda E Medlyn, Andrew J Pitman, Patrick Meir, Lucas A Cernusak, Rachael V Gallagher, Anna M Ukkola, Sami W Rifai, Brendan Choat

Abstract read
In one paragraph

Article in The New phytologist, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

10 authors.

Martin G De KauweSchool of Biological Sciences, University of Bristol, Bristol, BS8 1TQ, UK.ORCID 0000-0002-3399-9098
Manon E B SabotARC Centre of Excellence for Climate Extremes, Sydney, NSW, 2052, Australia.ORCID 0000-0002-9440-4553
Belinda E MedlynHawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia.ORCID 0000-0001-5728-9827
Andrew J PitmanARC Centre of Excellence for Climate Extremes, Sydney, NSW, 2052, Australia.ORCID 0000-0003-0604-3274
Patrick MeirSchool of Geosciences, The University of Edinburgh, Edinburgh, EH9 3FF, UK.ORCID 0000-0002-2362-0398
Lucas A CernusakCollege of Science and Engineering, James Cook University, Cairns, Qld, 4878, Australia.ORCID 0000-0002-7575-5526
Rachael V GallagherHawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia.ORCID 0000-0002-4680-8115
Anna M UkkolaARC Centre of Excellence for Climate Extremes, Sydney, NSW, 2052, Australia.ORCID 0000-0003-1207-3146
Sami W RifaiARC Centre of Excellence for Climate Extremes, Sydney, NSW, 2052, Australia.ORCID 0000-0003-3400-8601
Brendan ChoatHawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia.ORCID 0000-0002-9105-640X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predicting species-level responses to drought at the landscape scale is critical to reducing uncertainty in future terrestrial carbon and water cycle projections. We embedded a stomatal optimisation model in the Community Atmosphere Biosphere Land Exchange (CABLE) land surface model and parameterised the model for 15 canopy dominant eucalypt tree species across South-Eastern Australia (mean annual precipitation range: 344-1424 mm yr

Indexed as

DroughtsTreesCarbon DioxidePlant LeavesWaterCarbon DioxideWaterAustraliacavitation resistancedrought toleranceland surface modelplant hydraulicsspecies

Identifiers

PMID35363880
PMCPMC9321630

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.