Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 183

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

NEW METHODS FOR QUANTIFYING THE SPATIAL STORAGE EFFECT: AN ILLUSTRATION WITH DESERT ANNUALS

Sears, Anna L. W., Chesson, Peter·2007·Ecology

Abstract

Recent theory supports the long-held proposition that coexistence is promoted by species-specific responses to a spatially varying environment. The underlying coexistence mechanism, the spatial storage effect, can be quantified by the covariance between response to the environment and competition. Here, "competition" is generalized to encompass similar processes such as facilitation and apparent competition. In the present study, we use a model field system of desert annual plants to demonstrate this method and to provide insight into the dynamics of the field system. Specifically, we use neighborhood competition experiments to quantify the spatial storage effect and compare it to the separate (but not mutually exclusive) process of neighborhood-scale resource partitioning. As our basic experimental design has been used frequently in community ecology, these methods can be applied to many existing data sets, as well as future field studies.

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 · 10.1890/06-0645.1

Cites

1 of 1 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

Show all 1 references

Cited by

See all 183

Metadata

Authors
Sears, A. L. W., & Chesson, P.
Venue
Ecology
Publisher
Wiley
Published
2007-09
Volume
88
Issue
9
Pages
2240-2247
ISSN
0012-9658 (ISSN-L)
OpenAlex
W2003818896
Cited by
183
References
1
FWCI
4.84
Type
journal article
Language
en
Open access
closed

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: NEW METHODS FOR QUANTIFYING THE SPATIAL STORAGE EFFECT: AN ILLUSTRATION WITH DESERT ANNUALS. https://app.cochat.ai/papers/10.1890/06-0645.1
The paper
Sears, A. L. W., & Chesson, P. (2007). NEW METHODS FOR QUANTIFYING THE SPATIAL STORAGE EFFECT: AN ILLUSTRATION WITH DESERT ANNUALS. Ecology. https://doi.org/10.1890/06-0645.1

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.