Grazing gradient detection and assessment in arid rangelands of central Iran using remote sensing and soil-vegetation characteristics

IF 1.2 4区环境科学与生态学 Q4 ECOLOGY

Rangeland Journal Pub Date : 2020-12-23 DOI:10.1071/rj20076

F. Moazam, R. Jafari, H. Bashari, M. Mosaddeghi

{"title":"Grazing gradient detection and assessment in arid rangelands of central Iran using remote sensing and soil-vegetation characteristics","authors":"F. Moazam, R. Jafari, H. Bashari, M. Mosaddeghi","doi":"10.1071/rj20076","DOIUrl":null,"url":null,"abstract":"One key tool to manage fragile ecosystems in arid lands is knowledge of land degradation. For this purpose, field-based soil and vegetation characteristics were related to remote sensing information extracted from Landsat OLI moving standard deviation index (MSDI), normalised difference vegetation index (NDVI), soil-adjusted vegetation index (SAVI) and modified soil-adjusted vegetation index (MSAVI) in degraded (watering points and livestock camps) and reference sites of arid rangelands of Iran. Values of spectral indices along grazing gradients at a distance of 50–1500 m from the centre of degradation were also extracted and analysed. Statistical analysis (t-test and ordination analysis) shows that MSDI is a sensitive index of landscape heterogeneity and, unlike other indices, exhibits a significant difference between degraded and reference sites. MSDI was sensitive to grazing gradients around watering points and livestock camps, and declined with increasing distance from these areas, although this varied between different sites due to grazing intensity and characteristics of soil and vegetation cover. Soil analysis showed that the amount of organic carbon, mean weight diameter (MWD), geometric mean diameter (GMD) and soil stability indicator (SSI) at reference sites were significantly higher than those at degraded areas. Ordination analysis confirmed the results of t-test regarding the high potential capability of MSDI in separating degraded areas. This simple and practical index can be used to determine ecological thresholds and investigating rangeland condition in arid ecosystems.","PeriodicalId":20810,"journal":{"name":"Rangeland Journal","volume":"10 21 1","pages":"425"},"PeriodicalIF":1.2000,"publicationDate":"2020-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Rangeland Journal","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1071/rj20076","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

One key tool to manage fragile ecosystems in arid lands is knowledge of land degradation. For this purpose, field-based soil and vegetation characteristics were related to remote sensing information extracted from Landsat OLI moving standard deviation index (MSDI), normalised difference vegetation index (NDVI), soil-adjusted vegetation index (SAVI) and modified soil-adjusted vegetation index (MSAVI) in degraded (watering points and livestock camps) and reference sites of arid rangelands of Iran. Values of spectral indices along grazing gradients at a distance of 50–1500 m from the centre of degradation were also extracted and analysed. Statistical analysis (t-test and ordination analysis) shows that MSDI is a sensitive index of landscape heterogeneity and, unlike other indices, exhibits a significant difference between degraded and reference sites. MSDI was sensitive to grazing gradients around watering points and livestock camps, and declined with increasing distance from these areas, although this varied between different sites due to grazing intensity and characteristics of soil and vegetation cover. Soil analysis showed that the amount of organic carbon, mean weight diameter (MWD), geometric mean diameter (GMD) and soil stability indicator (SSI) at reference sites were significantly higher than those at degraded areas. Ordination analysis confirmed the results of t-test regarding the high potential capability of MSDI in separating degraded areas. This simple and practical index can be used to determine ecological thresholds and investigating rangeland condition in arid ecosystems.

查看原文本刊更多论文

基于遥感和土壤植被特征的伊朗中部干旱草原放牧梯度检测与评价

管理干旱地区脆弱生态系统的一个关键工具是土地退化知识。为此，基于田间的土壤和植被特征与提取自Landsat OLI移动标准差指数(MSDI)、归一化植被指数(NDVI)、土壤调整植被指数(SAVI)和改良土壤调整植被指数(MSAVI)的遥感信息相关，这些遥感信息来自伊朗干旱牧场退化(浇水点和牲畜营地)和参考点。在距离退化中心50 ~ 1500 m处，提取并分析了沿放牧梯度的光谱指数值。统计分析(t检验和排序分析)表明，MSDI是景观异质性的敏感指标，与其他指标不同，MSDI在退化地和参考地之间表现出显著差异。MSDI对取水点和牲畜营地周围的放牧梯度敏感，随着距离这些区域的增加而下降，但由于放牧强度和土壤和植被覆盖特征，不同地点的MSDI有所不同。土壤分析表明，参考点土壤有机碳含量、平均重径(MWD)、几何平均径(GMD)和土壤稳定性指标(SSI)显著高于退化区。排序分析证实了MSDI在分离退化区的高潜力能力的t检验结果。该指标简单实用，可用于确定干旱生态系统的生态阈值和调查草地状况。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Rangeland Journal 环境科学-生态学

CiteScore

2.90

自引率

8.30%

发文量

审稿时长

>36 weeks

期刊介绍： The Rangeland Journal publishes original work that makes a significant contribution to understanding the biophysical, social, cultural, economic, and policy influences affecting rangeland use and management throughout the world. Rangelands are defined broadly and include all those environments where natural ecological processes predominate, and where values and benefits are based primarily on natural resources. Articles may present the results of original research, contributions to theory or new conclusions reached from the review of a topic. Their structure need not conform to that of standard scientific articles but writing style must be clear and concise. All material presented must be well documented, critically analysed and objectively presented. All papers are peer-reviewed. The Rangeland Journal is published on behalf of the Australian Rangeland Society.