عنوان مقاله [English]
Identifying, Quantifying and Predicting of Landscape
Patterns in Space and Time
1*Rahimi, E.; 2Salmanmahiny A. R.
1 MSc. Graduated of Environment, Gorgan University of Agricultural Sciences and Natural Resources
2 Assoc. Prof. College of Fisheries and Environmental Science, Gorgan University of
Agricultural Sciences and Natural Resources
(Received: 13/Sep/2016; Accepted: 23/Jan/2017)
In landscape ecology, approaches to identify and quantify landscape patterns are well developed for discrete landscape representations. Discretization is often seen as a form of generalization and simplification. Landscape patterns however are shaped by complex dynamic processes acting at various spatial and temporal scales. Thus, standard landscape metrics that quantify static, discrete overall landscape pattern or individual patch properties may not suffice when viewing landscapes as gradients or when quantifying spatially dynamic response surfaces resulting from model simulations of landscapes. As such, this study aimed to identify and provide an understanding of the applied approaches for describing spatial heterogeneity of ecosystems in landscape ecology. Different approaches were evaluated including landscape metrics, surface metrics, wavelength and spectral analysis, geostatic indices and Markova chains in quantifying changes of temporal– spatial patterns. Existence of different approaches and methods in identifying, quantifying and predicting of landscape patterns shows that landscape patterns may not be quantified using only one index or metric, rather, quantifications methods should be selected with regards to the aim when revealing the desired landscape patterns and ecological processes.
Keywords: Landscape ecology, Quantification of landscape patterns, Discrete and continuous approaches, Temporal- spatial changes of landscapes.
* Corresponding author: Email: Ehsanrahimi666@gmail.com
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