Neutral models for testing landscape hypotheses

Robert H. Gardner

doi:10.1007/s10980-006-9011-4

Return

Neutral models for testing landscape hypotheses

2006-08-05

124

PRE

Robert H. Gardner *

Dean L. Urban

DOI：10.1007/s10980-006-9011-4

Original

Original request for help

Save

Abstract

En 中文

Neutral landscape models were originally developed to test the hypothesis that human-induced fragmentation produces patterns distinctly different from those associated with random processes. Other uses for neutral models have become apparent, including the development and testing of landscape metrics to characterize landscape pattern. Although metric development proved to be significant, the focus on metrics obscured the need for iterative hypothesis testing fundamental to the advancement of the discipline. We present here an example of an alternative neutral model and hypothesis designed to relate the process of landscape change to observed landscape patterns. The methods and program, QRULE, are described and options for statistical testing outlined. The results show that human fragmentation of landscapes results in a non-random association of land-cover types that can be describe by simple statistical methods. Options for additional landscape studies are discussed and access to QRULE described in the hope that these methods will be employed to advance our understanding of the processes that affect the structure and function in human dominated landscapes.

Keywords:

neutral landscape models

pattern and process

landscape hypothesis testing

land cover analysis

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.