首页> 外文期刊>The Rangeland Journal >Grazing gradient detection and assessment in arid rangelands of central Iran using remote sensing and soil-vegetation characteristics
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Grazing gradient detection and assessment in arid rangelands of central Iran using remote sensing and soil-vegetation characteristics

机译:利用遥感和土壤 - 植被特征在伊朗干旱地区放牧梯度检测和评估

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摘要

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.
机译: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,基于现场的土壤和植被特征与从陆地卫星OLI移动标准偏差指数(MSDI)、归一化差异植被指数(NDVI)提取的遥感信息相关,伊朗干旱牧场退化(浇水点和牲畜营地)和参考点的土壤调整植被指数(SAVI)和改良土壤调整植被指数(MSAVI)。还提取并分析了距离退化中心50-1500 m处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数,与其他指数不同,在退化和参考点之间表现出显著差异。MSDI对浇水点和牲畜营地周围的放牧梯度敏感,并随着距离这些区域的增加而下降,尽管由于放牧强度以及土壤和植被的特点,这在不同地点之间有所不同。土壤分析表明,参考点的有机碳含量、平均重量直径(MWD)、几何平均直径(GMD)和土壤稳定性指数(SSI)显著高于退化区。排序分析证实了MSDI在分离退化区域方面的高潜在能力的t检验结果。这一简单实用的指标可用于确定干旱生态系统的生态阈值和调查牧场状况。

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