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Livestock trampling routes regulate biocrust composition in drylands:Implications for geodiversity and functioning
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作者 Ilan STAVI Arnon KARNIELI +2 位作者 Eli ARGAMAN Yagil OSEM Eli ZAADY 《Journal of Geographical Sciences》 2025年第11期2427-2442,共16页
In drylands,biocrusts play crucial roles in regulating ecosystem functions.The study was conducted in the hilly rangelands of the semi-arid northern Negev of Israel,where we assessed the visual,morphological,spectral,... In drylands,biocrusts play crucial roles in regulating ecosystem functions.The study was conducted in the hilly rangelands of the semi-arid northern Negev of Israel,where we assessed the visual,morphological,spectral,and soil properties of livestock trampling routes and inter-route spaces in northern and southern facing hillslopes.Overall,both hillslope aspects were visually similar,whereas the ground surface of the routes was brighter(74.4%were characterized as having a'light'color)than the inter-route spaces(86.8%were characterized as having a'dark'color).These observations were supported by morphological identification of biocrust composition,which was dominated by cyanobacteria(67%)in the routes,and by mixed cyanobacteria/moss(56%)in the inter-routes.Mean Normalized Difference Vegetation Index(NDVI)was 24%higher in the inter-routes,while the mean Brightness Index(BI)was 12%higher in the routes.At the same time,the mean Crust Index(CI)was identical in the two microhabitats.Soil quality index(SQI),calculated based on the(pedoderm)soil properties of the two microhabitats,was 6%greater in the inter-routes than in the routes.This study suggests that recurrent trampling exacerbates soil compaction and shearing along the routes,thus preventing the successional development of complex biocrust compositions. 展开更多
关键词 biodiversity GEODIVERSITY geo-ecosystem functioning herbaceous vegetation inter-shrub spaces patchy vegetation shrubby patches
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Y-梯度广义最小二乘加权校正的土壤速效氮野外原位光谱预测 被引量:8
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作者 齐海军 Karnieli Arnon 李绍稳 《光谱学与光谱分析》 SCIE EI CAS CSCD 北大核心 2018年第1期171-175,共5页
土壤速效氮是影响作物生长发育的重要养分指标。野外原位可见近红外光谱(VIS-NIR)分析技术具有快速无损等特点,对速效氮的定量预测具有较好的应用前景。野外条件下进行原位光谱采集更节省人力物力,且为土壤养分实时传感器的开发提供了... 土壤速效氮是影响作物生长发育的重要养分指标。野外原位可见近红外光谱(VIS-NIR)分析技术具有快速无损等特点,对速效氮的定量预测具有较好的应用前景。野外条件下进行原位光谱采集更节省人力物力,且为土壤养分实时传感器的开发提供了数据基础。但由于野外原位光谱中通常存在大量的无关环境因子干扰信息,易导致回归模型预测精度降低,达不到实用要求。针对位于以色列中部和北部的两个试验点共76个样本开展研究,提出利用Y-梯度广义最小二乘加权算法(Y-GLSW)对样本的野外原位VIS-NIR反射率光谱(350~2 500nm)进行滤波校正,以提高回归模型的预测能力。首先使用SG平滑、一阶导数变换、标准正态变换等常规方法对原始光谱进行预处理和变换;在此基础上再使用Y-GLSW构建滤波模型对变换后的光谱进行滤波校正;最后使用偏最小二乘回归算法(PLS-R)分别结合原始光谱RW、预处理变换后的光谱PPT和滤波校正后的光谱Y-GLSW建立回归分析模型对速效氮进行定量预测。结果表明:利用RW光谱建立的回归预测模型是不可靠的;利用PPT光谱建立的回归模型在测试集的相对分析误差(RPD)为1.41,解释总方差占实际总方差之比(SSR/SST)为0.57,模型具有一定的可靠性;Y-GLSW光谱建立的回归模型在测试集的RPD和SSR/SST分别为2.07和0.69,相对于PPT模型分别提高了46.81%和21.05%。因此,利用Y-GLSW对野外原位VIS-NIR光谱进行滤波校正,能够有效去除光谱中的无关信息数据,提高模型的预测精度和解释能力。 展开更多
关键词 土壤速效氮 野外检测 光谱校正 回归模型 Y-梯度广义最小二乘加权
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