Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 664

The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.

Plant diversity and overyielding: insights from belowground facilitation of intercropping in agriculture

Open access
Li, Long, Tilman, David, Lambers, Hans, Zhang, Fu‐Suo·2014·New Phytologist

Abstract

Summary: Despite increasing evidence that plant diversity in experimental systems may enhance ecosystem productivity, the mechanisms causing this overyielding remain debated. Here, we review studies of overyielding observed in agricultural intercropping systems, and show that a potentially important mechanism underlying such facilitation is the ability of some crop species to chemically mobilize otherwise‐unavailable forms of one or more limiting soil nutrients such as phosphorus (P) and micronutrients (iron (F e), zinc (Z n) and manganese (M n)). Phosphorus‐mobilizing crop species improve P nutrition for themselves and neighboring non‐P‐mobilizing species by releasing acid phosphatases, protons and/or carboxylates into the rhizosphere which increases the concentration of soluble inorganic P in soil. Similarly, on calcareous soils with a very low availability of F e and Z n, F e‐ and Z n‐mobilizing species, such as graminaceous monocotyledonous and cluster‐rooted species, benefit themselves, and also reduce F e or Z n deficiency in neighboring species, by releasing chelating substances. Based on this review, we hypothesize that mobilization‐based facilitative interactions may be an unsuspected, but potentially important mechanism enhancing productivity in both natural ecosystems and biodiversity experiments. We discuss cases in which nutrient mobilization might be occurring in natural ecosystems, and suggest that the nutrient mobilization hypothesis merits formal testing in natural ecosystems.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/nph.12778

Cites

44 of 44 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 664

Metadata

Authors
Li, L., Tilman, D., Lambers, H., & Zhang, F.
Venue
New Phytologist
Publisher
Wiley
Published
2014-03-24
Volume
203
Issue
1
Pages
63-69
ISSN
  • 0028-646X (ISSN-L)
  • 1469-8137
OpenAlex
W2166701358
Cited by
664
References
44
FWCI
49.50
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.