Threshold of potential concern: an early way to identify the ecosystem structural thresholds in a grazing gradient

Identification of ecosystem thresholds is a way to predict future changes and taking the bestmanagement practices in restoration processes. Thresholds are an integral part of nonlinearresponses of ecosystems to disturbances such as climate change or human activities. In thisstudy, structural thresho...

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Main Authors: H. Siroosi, G.A. Heshmati, H.R. Naseri
Format: Article
Language:English
Published: Gorgan University of Agricultural Sciences and Natural Resources 2018-01-01
Series:Environmental Resources Research
Subjects:
Online Access:https://ijerr.gau.ac.ir/article_4141_7af268fb0ed1ff48b4320db565a07601.pdf
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author H. Siroosi
G.A. Heshmati
H.R. Naseri
author_facet H. Siroosi
G.A. Heshmati
H.R. Naseri
author_sort H. Siroosi
collection DOAJ
description Identification of ecosystem thresholds is a way to predict future changes and taking the bestmanagement practices in restoration processes. Thresholds are an integral part of nonlinearresponses of ecosystems to disturbances such as climate change or human activities. In thisstudy, structural threshold of the total patch area and mean patch width in a grazinggradient were identified using the nonlinear function and the concept of threshold ofpotential concern. Other structural features including number of grass, shrub and forbpatches were also measured. The result showed that three-parametric sigmoid functions hadthe highest ability to predict structural changes in ecosystem structure within a grazinggradient radiating out from the livestock stock night corral (camp). The result also showedthat 1 to 2 Km radius from the livestock camp is the critical threshold in ecosystemstructure based on total patch area, landscape organization index and mean patch widthfitting to a sigmoid function. Generally, the area within 2 Km from the camp needed toreceive emergency remedial management actions. The present study showed that theconcept of threshold of potential concern is a useful and early way to predict the thresholdsin the ecosystem for management actions. Also, the present study revealed that threeparametersigmoid function provides a much better fit to structural data than other nonlinearfunctions.
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spelling doaj.art-c076c7c1d75e4fc09e7e3599ab7973df2024-02-14T08:36:12ZengGorgan University of Agricultural Sciences and Natural ResourcesEnvironmental Resources Research2783-48322783-46702018-01-016111410.22069/ijerr.2018.41414141Threshold of potential concern: an early way to identify the ecosystem structural thresholds in a grazing gradientH. Siroosi0G.A. Heshmati1H.R. Naseri2GORGAN UNIGORGAN UNITEHRAN UNIIdentification of ecosystem thresholds is a way to predict future changes and taking the bestmanagement practices in restoration processes. Thresholds are an integral part of nonlinearresponses of ecosystems to disturbances such as climate change or human activities. In thisstudy, structural threshold of the total patch area and mean patch width in a grazinggradient were identified using the nonlinear function and the concept of threshold ofpotential concern. Other structural features including number of grass, shrub and forbpatches were also measured. The result showed that three-parametric sigmoid functions hadthe highest ability to predict structural changes in ecosystem structure within a grazinggradient radiating out from the livestock stock night corral (camp). The result also showedthat 1 to 2 Km radius from the livestock camp is the critical threshold in ecosystemstructure based on total patch area, landscape organization index and mean patch widthfitting to a sigmoid function. Generally, the area within 2 Km from the camp needed toreceive emergency remedial management actions. The present study showed that theconcept of threshold of potential concern is a useful and early way to predict the thresholdsin the ecosystem for management actions. Also, the present study revealed that threeparametersigmoid function provides a much better fit to structural data than other nonlinearfunctions.https://ijerr.gau.ac.ir/article_4141_7af268fb0ed1ff48b4320db565a07601.pdfecosystemstructurethresholdconcernsigmoid
spellingShingle H. Siroosi
G.A. Heshmati
H.R. Naseri
Threshold of potential concern: an early way to identify the ecosystem structural thresholds in a grazing gradient
Environmental Resources Research
ecosystem
structure
threshold
concern
sigmoid
title Threshold of potential concern: an early way to identify the ecosystem structural thresholds in a grazing gradient
title_full Threshold of potential concern: an early way to identify the ecosystem structural thresholds in a grazing gradient
title_fullStr Threshold of potential concern: an early way to identify the ecosystem structural thresholds in a grazing gradient
title_full_unstemmed Threshold of potential concern: an early way to identify the ecosystem structural thresholds in a grazing gradient
title_short Threshold of potential concern: an early way to identify the ecosystem structural thresholds in a grazing gradient
title_sort threshold of potential concern an early way to identify the ecosystem structural thresholds in a grazing gradient
topic ecosystem
structure
threshold
concern
sigmoid
url https://ijerr.gau.ac.ir/article_4141_7af268fb0ed1ff48b4320db565a07601.pdf
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