Soil Organic Carbon （SOC） is the most important component of soil. Though small, it determines soil fertility and prevents soil losses. In this study, we examined relationships between the Particle-Size Distribution...Soil Organic Carbon （SOC） is the most important component of soil. Though small, it determines soil fertility and prevents soil losses. In this study, we examined relationships between the Particle-Size Distribution （PSD） of the eroded sediment and SOC loss, and evaluated the effects of plant coverage ratios （0%, 15%, 30%, 45%, 60% and 90%）, slope lengths （2 m, 4 m）, fertilizer treatments （unfertilized control （CK）, compound N-P-K fertilizer （CF）, and organic fertilizer （OF）） on SOC loss and the SOC enrichment ratio （ERsoc） in the eroded sediments. The experimental results showed that longer slope length and lower surface cover ratios produced larger surface runoff and the eroded sediments, resulting in larger SOC losses. The average SOC loss was greatest in the OF treatment and SOC loss was mainly associated with the eroded sediment. Surface runoff, which causes soil erosion, is a selective transportation process, hence there were more clay- sized particles （〈2 μm） and silt-sized particles （2-50μm） in the eroded sediments than in the original soils. SOC was enriched in the eroded sediments relative to in the original soil when ERsoc 〉 1. ERsoc was positively correlated with ERclay （〈2 pro） （R^2 = o.68） and ERie at （2-20 μm） （R2 = 0.63）, and from all the size particle categories of the original soil or the eroded sediments, more than 95% of SOC was concentrated in small-sized partieles （〈50 μm）. The distribution of SOC in different-sized particles of the original soil and the eroded sediment is primarily associated with clay-sized part-ides and fine silt-sized particles, thus we eonelude that as the eroded sediment partieles became finer, more SOC was absorbed, resulting in more severe SOC loss.展开更多
Most evaluation of the consistency of multisensor images have focused on Normalized Difference Vegetation Index （NDVI） products for natural landscapes, often neglecting less vegetated urban landscapes. This gap has ...Most evaluation of the consistency of multisensor images have focused on Normalized Difference Vegetation Index （NDVI） products for natural landscapes, often neglecting less vegetated urban landscapes. This gap has been filled through quantifying and evaluating spatial heterogeneity of urban and natural landscapes from QuickBird, Satellite pour l＇observation de la Terre （SPOT）, Ad- vanced Spacebome Thermal Emission and Reflection Radiometer （ASTER） and Landsat Thematic Mapper （TM） images with variogram analysis. Instead of a logarithmic relationship with pixel size observed in the corresponding aggregated images, the spatial variability decayed and the spatial structures decomposed more slowly and complexly with spatial resolution for real multisensor im- ages. As the spatial resolution increased, the proportion of spatial variability of the smaller spatial structure decreased quickly and only a larger spatial structure was observed at very coarse scales. Compared with visible band, greater spatial variability was observed in near infrared band for both densely and less densely vegetated landscapes. The influence of image size on spatial heterogeneity was highly dependent on whether the empirical sernivariogram reached its sill within the original image size. When the empirical semivariogram did not reach its sill at the original observation scale, spatial variability and mean characteristic length scale would increase with image size; otherwise they might decrease. This study could provide new insights into the knowledge of spatial heterogeneity in real multisen- sor images with consideration of their nominal spatial resolution, image size and spectral bands.展开更多
基金funded by Water and Soil Conservation Monitoring Technology Innovation Team and Construction of China(Grant No.2009F20022)National Natural Science Foundation of China(Grant No.41471221)
文摘Soil Organic Carbon （SOC） is the most important component of soil. Though small, it determines soil fertility and prevents soil losses. In this study, we examined relationships between the Particle-Size Distribution （PSD） of the eroded sediment and SOC loss, and evaluated the effects of plant coverage ratios （0%, 15%, 30%, 45%, 60% and 90%）, slope lengths （2 m, 4 m）, fertilizer treatments （unfertilized control （CK）, compound N-P-K fertilizer （CF）, and organic fertilizer （OF）） on SOC loss and the SOC enrichment ratio （ERsoc） in the eroded sediments. The experimental results showed that longer slope length and lower surface cover ratios produced larger surface runoff and the eroded sediments, resulting in larger SOC losses. The average SOC loss was greatest in the OF treatment and SOC loss was mainly associated with the eroded sediment. Surface runoff, which causes soil erosion, is a selective transportation process, hence there were more clay- sized particles （〈2 μm） and silt-sized particles （2-50μm） in the eroded sediments than in the original soils. SOC was enriched in the eroded sediments relative to in the original soil when ERsoc 〉 1. ERsoc was positively correlated with ERclay （〈2 pro） （R^2 = o.68） and ERie at （2-20 μm） （R2 = 0.63）, and from all the size particle categories of the original soil or the eroded sediments, more than 95% of SOC was concentrated in small-sized partieles （〈50 μm）. The distribution of SOC in different-sized particles of the original soil and the eroded sediment is primarily associated with clay-sized part-ides and fine silt-sized particles, thus we eonelude that as the eroded sediment partieles became finer, more SOC was absorbed, resulting in more severe SOC loss.
基金Under the auspices of National Natural Science Foundation of China(No.41071267,41001254)Natural Science Foundation of Fujian Province(No.2012I0005,2012J01167)
文摘Most evaluation of the consistency of multisensor images have focused on Normalized Difference Vegetation Index （NDVI） products for natural landscapes, often neglecting less vegetated urban landscapes. This gap has been filled through quantifying and evaluating spatial heterogeneity of urban and natural landscapes from QuickBird, Satellite pour l＇observation de la Terre （SPOT）, Ad- vanced Spacebome Thermal Emission and Reflection Radiometer （ASTER） and Landsat Thematic Mapper （TM） images with variogram analysis. Instead of a logarithmic relationship with pixel size observed in the corresponding aggregated images, the spatial variability decayed and the spatial structures decomposed more slowly and complexly with spatial resolution for real multisensor im- ages. As the spatial resolution increased, the proportion of spatial variability of the smaller spatial structure decreased quickly and only a larger spatial structure was observed at very coarse scales. Compared with visible band, greater spatial variability was observed in near infrared band for both densely and less densely vegetated landscapes. The influence of image size on spatial heterogeneity was highly dependent on whether the empirical sernivariogram reached its sill within the original image size. When the empirical semivariogram did not reach its sill at the original observation scale, spatial variability and mean characteristic length scale would increase with image size; otherwise they might decrease. This study could provide new insights into the knowledge of spatial heterogeneity in real multisen- sor images with consideration of their nominal spatial resolution, image size and spectral bands.
