Evidence map›Paper›PMID 29484631›Full record

ArticleEcology2018

Temperature and aridity regulate spatial variability of soil multifunctionality in drylands across the globe.

Jorge Durán, Manuel Delgado-Baquerizo, Andrew J Dougill, Reginald T Guuroh, Anja Linstädter, Andrew D Thomas, Fernando T Maestre

Abstract read
In one paragraph

Article in Ecology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Analyzing WSTP trend: a new method for global warming assessment.Environmental monitoring and assessment · 2021
    Article
  8. Article
  9. Article
  10. Rainfall regulation of grazed grasslands.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  11. Article
  12. 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

7 authors.

Jorge DuránCentre for Functional Ecology, University of Coimbra, 3000-456, Coimbra, Portugal.ORCID 0000-0002-7375-5290
Manuel Delgado-BaquerizoCooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Colorado, 80309, USA.
Andrew J DougillSchool of Earth and Environment, University of Leeds, Leeds, LS2 9JT, United Kingdom.
Reginald T GuurohCSIR-Forestry Research Institute of Ghana, KNUST, Kumasi, P.O. Box UP 63, Ghana.
Anja LinstädterRange Ecology and Range Management Group, Botanical Institute, University of Cologne, Zuelpicher Strasse 47b, 50674, Cologne, Germany.ORCID 0000-0003-0038-9557
Andrew D ThomasDepartment of Geography and Earth Sciences, Aberystwyth University, Aberystwyth, SY23 3DB, United Kingdom.
Fernando T MaestreDepartamento de Biología y Geología, Física y Química Inorgánica, Escuela Superior de Ciencias Experimentales y Tecnología, Universidad Rey Juan Carlos, Móstoles, 28933, Spain.

Funding

European Research Council 242658European Research Council 647038
6 · The paper itself

Abstract

The relationship between the spatial variability of soil multifunctionality (i.e., the capacity of soils to conduct multiple functions; SVM) and major climatic drivers, such as temperature and aridity, has never been assessed globally in terrestrial ecosystems. We surveyed 236 dryland ecosystems from six continents to evaluate the relative importance of aridity and mean annual temperature, and of other abiotic (e.g., texture) and biotic (e.g., plant cover) variables as drivers of SVM, calculated as the averaged coefficient of variation for multiple soil variables linked to nutrient stocks and cycling. We found that increases in temperature and aridity were globally correlated to increases in SVM. Some of these climatic effects on SVM were direct, but others were indirectly driven through reductions in the number of vegetation patches and increases in soil sand content. The predictive capacity of our structural equation modelling was clearly higher for the spatial variability of N- than for C- and P-related soil variables. In the case of N cycling, the effects of temperature and aridity were both direct and indirect via changes in soil properties. For C and P, the effect of climate was mainly indirect via changes in plant attributes. These results suggest that future changes in climate may decouple the spatial availability of these elements for plants and microbes in dryland soils. Our findings significantly advance our understanding of the patterns and mechanisms driving SVM in drylands across the globe, which is critical for predicting changes in ecosystem functioning in response to climate change.

Indexed as

EcosystemClimate ChangePlantsSoilTemperatureSoilcarbon cyclingclimate changemultifunctionalitynitrogen cyclingphosphorous cyclingspatial heterogeneity

Identifiers

PMID29484631
PMCPMC6053039

What OpenQuestion holds

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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.