Estimating species-area relationships from plot to landscape scale using species spatial-turnover data

John Harte, Sarah McCarthy, Kevin Taylor, Ann Kinzig, Marc L. Fischer

Research output: Contribution to journalArticle

77 Scopus citations

Abstract

Vegetation census data from montane meadow plots are used to test a predicted connection between the species-area relationship, S = cA(z), and the dependence of interpatch species turnover on patch area A, interpatch distance D, and the species-area exponent z. At small spatial scales, from D≃ 1-10 m, where species-area parameters can be independently estimated, the prediction is confirmed; at larger scales, from D ≃ 1-104 m, the scale-dependence of z is deduced. A predicted dependence of species richness on the shape of censused patches is also confirmed. Our results indicate that readily obtainable species-turnover data between distant small patches can be used to estimate species-area exponents at landscape scales where census data for nested areas are generally not available, thereby improving our ability to estimate landscape-scale species richness and rarity.

Original languageEnglish (US)
Pages (from-to)45-54
Number of pages10
JournalOikos
Volume86
Issue number1
DOIs
StatePublished - Jul 1999

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics

Fingerprint Dive into the research topics of 'Estimating species-area relationships from plot to landscape scale using species spatial-turnover data'. Together they form a unique fingerprint.

  • Cite this