Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 282

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Exploring Fitness Surfaces

Schluter, Dolph, Nychka, Douglas·1994·The American Naturalist

Abstract

We present a nonparametric method to estimate the form of multivariate selection on a suite of quantitative traits. Its advantages are threefold. First, the procedure is flexible and does not force estimates of the surface to conform to a specific mathematical shape. The need for a flexible method is illustrated by an example using quadratic regression. Second, estimates of multidimensional surfaces can be visualized in two or three dimensions. This simplification is accomplished by making cross sections of the surface in the few most interesting directions. Finally, the method is designed to handle survival and other nonnormal fitness components. We apply the procedure to two data sets. In song sparrows, the survival surface is approximated by a ridge favoring an allometric relation between body mass and wing length. Survival in human infants rises steeply with increasing birth mass and maternal gestation period to a broad flat dome. Our results emphasize the ubiquity of "correlational" selection and illustrate how traits jointly determine fitness.

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 · 10.1086/285622

Cites

6 of 6 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 6 references

Cited by

See all 282

Metadata

Authors
Schluter, D., & Nychka, D.
Venue
The American Naturalist
Published
1994-04
Volume
143
Issue
4
Pages
597-616
ISSN
  • 0003-0147 (ISSN-L)
  • 1537-5323
OpenAlex
W2024222212
Cited by
282
References
6
FWCI
10.84
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: Exploring Fitness Surfaces. https://app.cochat.ai/papers/10.1086/285622
The paper
Schluter, D., & Nychka, D. (1994). Exploring Fitness Surfaces. The American Naturalist. https://doi.org/10.1086/285622

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.