The Experts below are selected from a list of 32664 Experts worldwide ranked by ideXlab platform
Keli Zhao - One of the best experts on this subject based on the ideXlab platform.
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using moran s i and gis to study the spatial pattern of Forest Litter carbon density in a subtropical region of southeastern china
Biogeosciences, 2014Co-Authors: Weijun Fu, Peikun Jiang, Guomo Zhou, Keli ZhaoAbstract:Spatial pattern information of carbon density in Forest ecosystem including Forest Litter carbon (FLC) plays an important role in evaluating carbon sequestration potentials. The spatial variation of FLC density in the typical subtropical Forests in southeastern China was investigated using Moran's I, geostatistics and a geographical information system (GIS). A total of 839 Forest Litter samples were collected based on a 12 km (south–north) × 6 km (east–west) grid system in Zhejiang province. Forest Litter carbon density values were very variable, ranging from 10.2 kg ha −1 to 8841.3 kg ha −1 , with an average of 1786.7 kg ha −1 . The aboveground biomass had the strongest positive correlation with FLC density, followed by Forest age and elevation. Global Moran's I revealed that FLC density had significant positive spatial autocorrelation. Clear spatial patterns were observed using local Moran's I. A spherical model was chosen to fit the experimental semivariogram. The moderate "nugget-to-sill" (0.536) value revealed that both natural and anthropogenic factors played a key role in spatial heterogeneity of FLC density. High FLC density values were mainly distributed in northwestern and western part of Zhejiang province, which were related to adopting long-term policy of Forest conservation in these areas, while Hang-Jia-Hu (HJH) Plain, Jin-Qu (JQ) Basin and coastal areas had low FLC density due to low Forest coverage and intensive management of economic Forests. These spatial patterns were in line with the spatial-cluster map described by local Moran's I. Therefore, Moran's I, combined with geostatistics and GIS, could be used to study spatial patterns of environmental variables related to Forest ecosystem.
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Using ArcGIS and Geostatistics to Study Spatial Pattern of Forest Litter Carbon Density in Zhejiang Province, China
Functions of Natural Organic Matter in Changing Environment, 2012Co-Authors: Keli Zhao, Peikun Jiang, Guomo ZhouAbstract:A total of 840 Forest Litter samples were collected based on a 4-km (south–north)×6-km (east–west)-grid system in Zhejiang province. Traditional statistics and geostatistics were applied to study the spatial pattern of Forest Litter carbon density in an ArcGIS environment. Forest Litter carbon density values were very variable, ranging from 10.2 to 4,289.8kghm−2, with an average of 1,627.1kghm−2. Spherical model was chosen to fit the experimental semi-variogram. The high nugget/sill (0.6275) value revealed that random variation played a key role in spatial heterogeneity of Forest Litter carbon density; human activities and land management further weaken its spatial correlation. Forest Litter carbon density in Zhejiang province was above the average level of Forest in China. High Forest Litter carbon values were mainly distributed in hilly region in Zhejiang, while HangJiaHu Plain, NingShao Plain, and coastal areas had low Forest Litter carbon density due to low Forest coverage.
Peikun Jiang - One of the best experts on this subject based on the ideXlab platform.
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using moran s i and gis to study the spatial pattern of Forest Litter carbon density in a subtropical region of southeastern china
Biogeosciences, 2014Co-Authors: Weijun Fu, Peikun Jiang, Guomo Zhou, Keli ZhaoAbstract:Spatial pattern information of carbon density in Forest ecosystem including Forest Litter carbon (FLC) plays an important role in evaluating carbon sequestration potentials. The spatial variation of FLC density in the typical subtropical Forests in southeastern China was investigated using Moran's I, geostatistics and a geographical information system (GIS). A total of 839 Forest Litter samples were collected based on a 12 km (south–north) × 6 km (east–west) grid system in Zhejiang province. Forest Litter carbon density values were very variable, ranging from 10.2 kg ha −1 to 8841.3 kg ha −1 , with an average of 1786.7 kg ha −1 . The aboveground biomass had the strongest positive correlation with FLC density, followed by Forest age and elevation. Global Moran's I revealed that FLC density had significant positive spatial autocorrelation. Clear spatial patterns were observed using local Moran's I. A spherical model was chosen to fit the experimental semivariogram. The moderate "nugget-to-sill" (0.536) value revealed that both natural and anthropogenic factors played a key role in spatial heterogeneity of FLC density. High FLC density values were mainly distributed in northwestern and western part of Zhejiang province, which were related to adopting long-term policy of Forest conservation in these areas, while Hang-Jia-Hu (HJH) Plain, Jin-Qu (JQ) Basin and coastal areas had low FLC density due to low Forest coverage and intensive management of economic Forests. These spatial patterns were in line with the spatial-cluster map described by local Moran's I. Therefore, Moran's I, combined with geostatistics and GIS, could be used to study spatial patterns of environmental variables related to Forest ecosystem.
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effects of topographical condition and sampling number on the interpolation precision of Forest Litter carbon density
Journal of Applied Ecology, 2013Co-Authors: Jiajia Zhang, Weijun Fu, Qun Du, Guojiang Zhang, Peikun JiangAbstract:: The territory of Zhejiang Province, East China was grouped into 3 topographical units (plain-coastal area, hill-basin area, and mountain area) to investigate the effects of topographical condition and sampling number on the Kriging interpolation precision of Forest Litter carbon density in the Province. The Forest Litter carbon density in the 3 topographical units showed a medium spatial correlation pattern, with the semi-variance nugget/sill ratio value ranged from 28.3% to 72.4%. The Kriging interpolation precision was in the order of plain-coastal area > hill-basin area > mountain area, indicating that the Kriging interpolation precision decreased with the increase of terrain complexity degree. Within the same topographical units, the Kriging interpolation precision improved with increasing sampling number, being most obvious in the mountain area. Therefore, under complicated topographical conditions, greater sampling number was required to achieve a high precision of Kriging interpolation.
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Using ArcGIS and Geostatistics to Study Spatial Pattern of Forest Litter Carbon Density in Zhejiang Province, China
Functions of Natural Organic Matter in Changing Environment, 2012Co-Authors: Keli Zhao, Peikun Jiang, Guomo ZhouAbstract:A total of 840 Forest Litter samples were collected based on a 4-km (south–north)×6-km (east–west)-grid system in Zhejiang province. Traditional statistics and geostatistics were applied to study the spatial pattern of Forest Litter carbon density in an ArcGIS environment. Forest Litter carbon density values were very variable, ranging from 10.2 to 4,289.8kghm−2, with an average of 1,627.1kghm−2. Spherical model was chosen to fit the experimental semi-variogram. The high nugget/sill (0.6275) value revealed that random variation played a key role in spatial heterogeneity of Forest Litter carbon density; human activities and land management further weaken its spatial correlation. Forest Litter carbon density in Zhejiang province was above the average level of Forest in China. High Forest Litter carbon values were mainly distributed in hilly region in Zhejiang, while HangJiaHu Plain, NingShao Plain, and coastal areas had low Forest Litter carbon density due to low Forest coverage.
Weijun Fu - One of the best experts on this subject based on the ideXlab platform.
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using moran s i and gis to study the spatial pattern of Forest Litter carbon density in a subtropical region of southeastern china
Biogeosciences, 2014Co-Authors: Weijun Fu, Peikun Jiang, Guomo Zhou, Keli ZhaoAbstract:Spatial pattern information of carbon density in Forest ecosystem including Forest Litter carbon (FLC) plays an important role in evaluating carbon sequestration potentials. The spatial variation of FLC density in the typical subtropical Forests in southeastern China was investigated using Moran's I, geostatistics and a geographical information system (GIS). A total of 839 Forest Litter samples were collected based on a 12 km (south–north) × 6 km (east–west) grid system in Zhejiang province. Forest Litter carbon density values were very variable, ranging from 10.2 kg ha −1 to 8841.3 kg ha −1 , with an average of 1786.7 kg ha −1 . The aboveground biomass had the strongest positive correlation with FLC density, followed by Forest age and elevation. Global Moran's I revealed that FLC density had significant positive spatial autocorrelation. Clear spatial patterns were observed using local Moran's I. A spherical model was chosen to fit the experimental semivariogram. The moderate "nugget-to-sill" (0.536) value revealed that both natural and anthropogenic factors played a key role in spatial heterogeneity of FLC density. High FLC density values were mainly distributed in northwestern and western part of Zhejiang province, which were related to adopting long-term policy of Forest conservation in these areas, while Hang-Jia-Hu (HJH) Plain, Jin-Qu (JQ) Basin and coastal areas had low FLC density due to low Forest coverage and intensive management of economic Forests. These spatial patterns were in line with the spatial-cluster map described by local Moran's I. Therefore, Moran's I, combined with geostatistics and GIS, could be used to study spatial patterns of environmental variables related to Forest ecosystem.
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effects of topographical condition and sampling number on the interpolation precision of Forest Litter carbon density
Journal of Applied Ecology, 2013Co-Authors: Jiajia Zhang, Weijun Fu, Qun Du, Guojiang Zhang, Peikun JiangAbstract:: The territory of Zhejiang Province, East China was grouped into 3 topographical units (plain-coastal area, hill-basin area, and mountain area) to investigate the effects of topographical condition and sampling number on the Kriging interpolation precision of Forest Litter carbon density in the Province. The Forest Litter carbon density in the 3 topographical units showed a medium spatial correlation pattern, with the semi-variance nugget/sill ratio value ranged from 28.3% to 72.4%. The Kriging interpolation precision was in the order of plain-coastal area > hill-basin area > mountain area, indicating that the Kriging interpolation precision decreased with the increase of terrain complexity degree. Within the same topographical units, the Kriging interpolation precision improved with increasing sampling number, being most obvious in the mountain area. Therefore, under complicated topographical conditions, greater sampling number was required to achieve a high precision of Kriging interpolation.
Guomo Zhou - One of the best experts on this subject based on the ideXlab platform.
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using moran s i and gis to study the spatial pattern of Forest Litter carbon density in a subtropical region of southeastern china
Biogeosciences, 2014Co-Authors: Weijun Fu, Peikun Jiang, Guomo Zhou, Keli ZhaoAbstract:Spatial pattern information of carbon density in Forest ecosystem including Forest Litter carbon (FLC) plays an important role in evaluating carbon sequestration potentials. The spatial variation of FLC density in the typical subtropical Forests in southeastern China was investigated using Moran's I, geostatistics and a geographical information system (GIS). A total of 839 Forest Litter samples were collected based on a 12 km (south–north) × 6 km (east–west) grid system in Zhejiang province. Forest Litter carbon density values were very variable, ranging from 10.2 kg ha −1 to 8841.3 kg ha −1 , with an average of 1786.7 kg ha −1 . The aboveground biomass had the strongest positive correlation with FLC density, followed by Forest age and elevation. Global Moran's I revealed that FLC density had significant positive spatial autocorrelation. Clear spatial patterns were observed using local Moran's I. A spherical model was chosen to fit the experimental semivariogram. The moderate "nugget-to-sill" (0.536) value revealed that both natural and anthropogenic factors played a key role in spatial heterogeneity of FLC density. High FLC density values were mainly distributed in northwestern and western part of Zhejiang province, which were related to adopting long-term policy of Forest conservation in these areas, while Hang-Jia-Hu (HJH) Plain, Jin-Qu (JQ) Basin and coastal areas had low FLC density due to low Forest coverage and intensive management of economic Forests. These spatial patterns were in line with the spatial-cluster map described by local Moran's I. Therefore, Moran's I, combined with geostatistics and GIS, could be used to study spatial patterns of environmental variables related to Forest ecosystem.
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Using ArcGIS and Geostatistics to Study Spatial Pattern of Forest Litter Carbon Density in Zhejiang Province, China
Functions of Natural Organic Matter in Changing Environment, 2012Co-Authors: Keli Zhao, Peikun Jiang, Guomo ZhouAbstract:A total of 840 Forest Litter samples were collected based on a 4-km (south–north)×6-km (east–west)-grid system in Zhejiang province. Traditional statistics and geostatistics were applied to study the spatial pattern of Forest Litter carbon density in an ArcGIS environment. Forest Litter carbon density values were very variable, ranging from 10.2 to 4,289.8kghm−2, with an average of 1,627.1kghm−2. Spherical model was chosen to fit the experimental semi-variogram. The high nugget/sill (0.6275) value revealed that random variation played a key role in spatial heterogeneity of Forest Litter carbon density; human activities and land management further weaken its spatial correlation. Forest Litter carbon density in Zhejiang province was above the average level of Forest in China. High Forest Litter carbon values were mainly distributed in hilly region in Zhejiang, while HangJiaHu Plain, NingShao Plain, and coastal areas had low Forest Litter carbon density due to low Forest coverage.
Qiang Qiang - One of the best experts on this subject based on the ideXlab platform.
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Study on water holding capacity in Forest Litter based on remote sensing techniques
Guangdong Agricultural Sciences, 2011Co-Authors: Qiang QiangAbstract:Water holding capacity of Forest Litter is an important research direction of Forest hydrology.Remote sensing techniques provide an improve way to study Forest Litter.Classification and regression tree were used to reconstruct the water holding capacity of Forest Litter estimation model and predict water holding capacity of Forest Litter using Palsar and CBERS CCD data with field measured data.The research results demonstrated that water capacity of Forest Litter could be predicted by remote sensing techniques.The methodology provided a consistent,practical,and inexpensive way for estimating water holding capacity of Forest Litter over large areas throughout the South China.