Climatic gradients in woody plant (tree and shrub) diversity: water‐energy dynamics, residual variation, and topography

Climatic gradients in woody plant (tree and shrub) diversity: water‐energy dynamics, residual... Recent studies at the macro‐scale have demonstrated that geographic gradients in the richness of plants, in particular of woody plants such as trees and shrubs, can be viewed as by‐products of water‐energy dynamics. According to this view, they are climatic rather than latitudinal/longitudinal gradients, relating to coincident and predictable variations in planetary surface‐atmosphere thermal dynamics and consequent patterns in biological activity. Previous analyses have shown that a two‐variable model capturing the dynamic relationship between energy (heat/light) and water (rainfall) accounts for most of the variation in woody plant richness across southern Africa at species, genus, and family levels. Here we move towards a more complete explanation, while demonstrating how geographic analysis of residuals can be used to identify the type and sequence of additional variables for inclusion, either at the same or at more discrete scales of analysis. Residual geographic variation in richness from the two‐variable model displays a geographic pattern unrelated to longitude and latitude. Regional clusters of under‐ and over‐prediction point to macro‐scale variation in topographic relief as a significant factor. When topographic relief is added as a third variable, the explanatory power (R2) increases by 7 to 12%, and the subsequent pattern of variation in residuals becomes even more unpredictable. What clustering remains points to other macro‐, and meso‐ or micro‐scale variables that need to be considered. Such a top‐down, trans‐scalar approach permits systematic and objective development of more complete explanations, while the three‐variable macro‐scale model developed herein is the basis for a powerful research tool for ecologists, biogeographers, conservationists and bio‐climatologists alike. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Oikos Wiley

Climatic gradients in woody plant (tree and shrub) diversity: water‐energy dynamics, residual variation, and topography

Oikos, Volume 89 (3) – Jun 1, 2000

Loading next page...
 
/lp/wiley/climatic-gradients-in-woody-plant-tree-and-shrub-diversity-water-a74ICIiC8f
Publisher
Wiley
Copyright
Copyright © 2000 Wiley Subscription Services, Inc., A Wiley Company
ISSN
0030-1299
eISSN
1600-0706
DOI
10.1034/j.1600-0706.2000.890319.x
Publisher site
See Article on Publisher Site

Abstract

Recent studies at the macro‐scale have demonstrated that geographic gradients in the richness of plants, in particular of woody plants such as trees and shrubs, can be viewed as by‐products of water‐energy dynamics. According to this view, they are climatic rather than latitudinal/longitudinal gradients, relating to coincident and predictable variations in planetary surface‐atmosphere thermal dynamics and consequent patterns in biological activity. Previous analyses have shown that a two‐variable model capturing the dynamic relationship between energy (heat/light) and water (rainfall) accounts for most of the variation in woody plant richness across southern Africa at species, genus, and family levels. Here we move towards a more complete explanation, while demonstrating how geographic analysis of residuals can be used to identify the type and sequence of additional variables for inclusion, either at the same or at more discrete scales of analysis. Residual geographic variation in richness from the two‐variable model displays a geographic pattern unrelated to longitude and latitude. Regional clusters of under‐ and over‐prediction point to macro‐scale variation in topographic relief as a significant factor. When topographic relief is added as a third variable, the explanatory power (R2) increases by 7 to 12%, and the subsequent pattern of variation in residuals becomes even more unpredictable. What clustering remains points to other macro‐, and meso‐ or micro‐scale variables that need to be considered. Such a top‐down, trans‐scalar approach permits systematic and objective development of more complete explanations, while the three‐variable macro‐scale model developed herein is the basis for a powerful research tool for ecologists, biogeographers, conservationists and bio‐climatologists alike.

Journal

OikosWiley

Published: Jun 1, 2000

There are no references for this article.

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create folders to
organize your research

Export folders, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off