Landscape vegetation modelling with vital attributes and fuzzy systems theory

Landscape vegetation modelling with vital attributes and fuzzy systems theory Landscape vegetation modelling is a simulation modelling approach to the analysis of landscape dynamics. The model developed here is a spatially-explicit ecologically-mechanistic simulator based on previous work in vital attributes theory and fuzzy systems theory. The model employs multiple individual forest stands with spatially-linked processes of seed distribution and disturbance propagation. Two synthetic landscapes were constructed consisting of four distinct environments with 400 polygons arranged in a hex grid mapped onto a torus. The two landscapes differ in inherent environmental heterogeneity, with one landscape consisting of smooth gradation in the four environments (gradient landscape) and the other with randomized environments (random landscape). The two landscapes are subjected to five different fire regimes. The effects of fire regime, environmental heterogeneity, and the interaction of environmental heterogeneity and fire regime are presented with regard to landscape characteristics of fragmentation, patch diversity, and gamma diversity. Environmental heterogeneity and fire regime form a complex relationship of non-monotonic response and interaction effects. Landscape fragmentation and diversity are found to have a modal or sinusoidal relationship to fire return interval, and the positions of the minima and maxima differ between the random and gradient landscapes. Landscape gamma diversity shows relatively less effect of fire return interval, although longer fire return intervals generally produce higher gamma diversity through the development of higher alpha diversity in mesic fire-sensitive stands. An interaction exists between landscape heterogeneity and fire return interval where some fire return intervals accentuate and some attenuate the differences between the gradient and random landscapes. Interaction effects of environmental heterogeneity and fire return interval on gamma diversity are small. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Ecological Modelling Elsevier

Landscape vegetation modelling with vital attributes and fuzzy systems theory

Ecological Modelling, Volume 90 (2) – Oct 1, 1996

Loading next page...
 
/lp/elsevier/landscape-vegetation-modelling-with-vital-attributes-and-fuzzy-systems-Je9yjMlQhT
Publisher
Elsevier
Copyright
Copyright © 1996 Elsevier Ltd
ISSN
0304-3800
eISSN
1872-7026
DOI
10.1016/0304-3800(95)00164-6
Publisher site
See Article on Publisher Site

Abstract

Landscape vegetation modelling is a simulation modelling approach to the analysis of landscape dynamics. The model developed here is a spatially-explicit ecologically-mechanistic simulator based on previous work in vital attributes theory and fuzzy systems theory. The model employs multiple individual forest stands with spatially-linked processes of seed distribution and disturbance propagation. Two synthetic landscapes were constructed consisting of four distinct environments with 400 polygons arranged in a hex grid mapped onto a torus. The two landscapes differ in inherent environmental heterogeneity, with one landscape consisting of smooth gradation in the four environments (gradient landscape) and the other with randomized environments (random landscape). The two landscapes are subjected to five different fire regimes. The effects of fire regime, environmental heterogeneity, and the interaction of environmental heterogeneity and fire regime are presented with regard to landscape characteristics of fragmentation, patch diversity, and gamma diversity. Environmental heterogeneity and fire regime form a complex relationship of non-monotonic response and interaction effects. Landscape fragmentation and diversity are found to have a modal or sinusoidal relationship to fire return interval, and the positions of the minima and maxima differ between the random and gradient landscapes. Landscape gamma diversity shows relatively less effect of fire return interval, although longer fire return intervals generally produce higher gamma diversity through the development of higher alpha diversity in mesic fire-sensitive stands. An interaction exists between landscape heterogeneity and fire return interval where some fire return intervals accentuate and some attenuate the differences between the gradient and random landscapes. Interaction effects of environmental heterogeneity and fire return interval on gamma diversity are small.

Journal

Ecological ModellingElsevier

Published: Oct 1, 1996

References

  • Patterns of plant species diversity during succession under different disturbance regimes
    Denslow, J.S.
  • Fuzzy systems vegetation theory
    Roberts, D.W.
  • Modelling forest dynamics with vital attributes and fuzzy systems theory
    Roberts, D.W.

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