为探究生境片断化对城市残存植被物种丰富度的影响,以经典的岛屿生物地理学理论为基础,选取了青岛市区内崂山余脉的13个丘陵为岛屿,以崂山为大陆,除斑块面积、距离种源远近外,增加斑块隔离度和人为干扰强度2个影响因子,通过CCA分析量化...为探究生境片断化对城市残存植被物种丰富度的影响,以经典的岛屿生物地理学理论为基础,选取了青岛市区内崂山余脉的13个丘陵为岛屿,以崂山为大陆,除斑块面积、距离种源远近外,增加斑块隔离度和人为干扰强度2个影响因子,通过CCA分析量化影响因子与物种组成的关系,以其影响因素的矢量线段长短赋予各影响因子权重,形成岛屿化综合指数(Isolated Island Index,III),探讨其与物种丰富度的关系.结果表明,城市中片断化森林斑块的物种丰富度与岛屿化综合指数的关系随着种类性质的变化而不同.乡土物种丰富度与岛屿化综合指数有显著关系,外来物种无此关系;鸟类传播和风力传播物种的丰富度与岛屿化综合指数有显著关系,重力传播物种无此关系.线性函数是最佳的拟合模型.展开更多
East China lies in the subtropical monsoon cli-matic zone and is dominated by subtropical evergreen broad-leaved forests,a unique vegetation type mainly dis-tributed in East Asia with the largest distribution in China...East China lies in the subtropical monsoon cli-matic zone and is dominated by subtropical evergreen broad-leaved forests,a unique vegetation type mainly dis-tributed in East Asia with the largest distribution in China.It is important to be able to monitor and estimate forest biomass and production,regional carbon storage,and global climate change impacts on these important vegetation types.In this paper,we used coarse resolution remote sensing data to identify the vegetation types in East China and developed a map of the spatial distribution of vegetation types in this region.Nineteen maximum normalized difference vegeta-tion index(NDVI)composite images(acquisition time span of 7 months from February to August),which were derived from 10 days National Oceanographic and Atmospheric Administration(NOAA)Advanced Very High Resolution Radiometer(AVHRR)channel 1 and channel 2 observa-tions,an unsupervised classification method,and the ISODATA algorithm were employed to identify the vegeta-tion types.To reduce the dimensions of the dataset resulted in a total of 28 spectral clusters of land-cover of which two clusters were urban/bare soil and water,the images were processed using principal component analysis(PCA).The 26 remaining spectral clusters were merged into six vegeta-tion types using the Chinese vegetation taxonomy system:evergreen broad-leaved forest,coniferous forest,bamboo forest,shrub-grass,aquatic vegetation,and agricultural vegetation.The spatial distribution and areal extent for the coniferous forests,shrub-grass,evergreen broad-leaved for-ests,and agricultural vegetation were calculated and com-pared with the Vegetation Atlas of China at a 1:1,000,000 scale.The spatial accuracy and the area accuracy for conif-erous forests,shrub-grass,evergreen broad-leaved forests,and agricultural vegetation were 79.2%,91.3%,68.2%and 95.9%and 92.1%,95.9%,63.8%and 90.5%,respectively.The spatial accuracy and area accuracy of the bamboo forest were 28.7%and 96.5%,respectively;the spatial accuracy of aquatic vegetation was 69.6%,but there was a significant difference in its area accuracy because image acquisition did not cover the full year.Our study demonstrated the fea-sibility of using NOAA-AVHRR to identify the different vegetation types in the subtropical evergreen broad-leaved forest zone in East China.The spatial location of the six identified vegetation types agreed with the actual geo-graphical distribution of the vegetation types in East China.展开更多
The biomass and productivity of Schima superba-Castanopsis carlesii forests in Tiantong,Zhejiang Province,were determined using overlapping quadrants and stem analyses.The total community biomass was(225.3±30.1) ...The biomass and productivity of Schima superba-Castanopsis carlesii forests in Tiantong,Zhejiang Province,were determined using overlapping quadrants and stem analyses.The total community biomass was(225.3±30.1) t hm-2,of which the aboveground parts accounted for 72.0% and the underground parts accounted for 28.0%.About 87.2% of biomass existed in the tree layer.The resprouting biomass was small,of which over 95.0% occurred in the shrub layer.The productivity of the aboveground parts of the community was(386.8±98.9) g m-2a-1,in which more than 96.0% was present at the tree level.The trunk's contribution to productivity was the greatest,while that of leaves was the smallest.In China,the community biomass of subtropical evergreen broadleaved forests differs significantly with the age of the forest.The community biomass of the 52-year-old S.superba-C.carlesii forests in this study was lower than the average biomass of subtropical evergreen broadleaved forests in China,and was lower than the biomass of other subtropical evergreen broadleaved forests elsewhere in the world.Moreover,its productivity was lower than the model estimate,indicating that without disturbance,this community has great developmental potential in terms of community biomass and productivity.展开更多
基金国家自然科学基金(31500355,31770468)资助上海市科技创新行动计划(19DZ1203801)资助+2 种基金中国长江三峡集团科技基金(20203138)资助supported by Grant No.CZ.02.1.01/0.0/0.0/16_019/0000803 financed by OP RDEScientific Grant Agency(VEGA)of the Ministry of Education,Science,Research and Sport of the Slovak Republic and the Slovak Academy of Sciences(grant number 1/0335/20)
文摘为探究生境片断化对城市残存植被物种丰富度的影响,以经典的岛屿生物地理学理论为基础,选取了青岛市区内崂山余脉的13个丘陵为岛屿,以崂山为大陆,除斑块面积、距离种源远近外,增加斑块隔离度和人为干扰强度2个影响因子,通过CCA分析量化影响因子与物种组成的关系,以其影响因素的矢量线段长短赋予各影响因子权重,形成岛屿化综合指数(Isolated Island Index,III),探讨其与物种丰富度的关系.结果表明,城市中片断化森林斑块的物种丰富度与岛屿化综合指数的关系随着种类性质的变化而不同.乡土物种丰富度与岛屿化综合指数有显著关系,外来物种无此关系;鸟类传播和风力传播物种的丰富度与岛屿化综合指数有显著关系,重力传播物种无此关系.线性函数是最佳的拟合模型.
基金supported by the National Natural Science Foundation of China (No.30130060)State Key Basic Research and Development Plan of China (No.G2000046801)The Shanghai Priority Academic Discipline,and The State's Tenth Five-Year“211 Project”supported Key Academic Discipline Program of East China Normal University,China.
文摘East China lies in the subtropical monsoon cli-matic zone and is dominated by subtropical evergreen broad-leaved forests,a unique vegetation type mainly dis-tributed in East Asia with the largest distribution in China.It is important to be able to monitor and estimate forest biomass and production,regional carbon storage,and global climate change impacts on these important vegetation types.In this paper,we used coarse resolution remote sensing data to identify the vegetation types in East China and developed a map of the spatial distribution of vegetation types in this region.Nineteen maximum normalized difference vegeta-tion index(NDVI)composite images(acquisition time span of 7 months from February to August),which were derived from 10 days National Oceanographic and Atmospheric Administration(NOAA)Advanced Very High Resolution Radiometer(AVHRR)channel 1 and channel 2 observa-tions,an unsupervised classification method,and the ISODATA algorithm were employed to identify the vegeta-tion types.To reduce the dimensions of the dataset resulted in a total of 28 spectral clusters of land-cover of which two clusters were urban/bare soil and water,the images were processed using principal component analysis(PCA).The 26 remaining spectral clusters were merged into six vegeta-tion types using the Chinese vegetation taxonomy system:evergreen broad-leaved forest,coniferous forest,bamboo forest,shrub-grass,aquatic vegetation,and agricultural vegetation.The spatial distribution and areal extent for the coniferous forests,shrub-grass,evergreen broad-leaved for-ests,and agricultural vegetation were calculated and com-pared with the Vegetation Atlas of China at a 1:1,000,000 scale.The spatial accuracy and the area accuracy for conif-erous forests,shrub-grass,evergreen broad-leaved forests,and agricultural vegetation were 79.2%,91.3%,68.2%and 95.9%and 92.1%,95.9%,63.8%and 90.5%,respectively.The spatial accuracy and area accuracy of the bamboo forest were 28.7%and 96.5%,respectively;the spatial accuracy of aquatic vegetation was 69.6%,but there was a significant difference in its area accuracy because image acquisition did not cover the full year.Our study demonstrated the fea-sibility of using NOAA-AVHRR to identify the different vegetation types in the subtropical evergreen broad-leaved forest zone in East China.The spatial location of the six identified vegetation types agreed with the actual geo-graphical distribution of the vegetation types in East China.
基金supported by the National Key Basic Research and Development Program of China (Grant No. G2000046801)the National Natural Science Foundation of China (Grant No. 30130060 )the A3 Foresight Program Project (NSFC)
文摘The biomass and productivity of Schima superba-Castanopsis carlesii forests in Tiantong,Zhejiang Province,were determined using overlapping quadrants and stem analyses.The total community biomass was(225.3±30.1) t hm-2,of which the aboveground parts accounted for 72.0% and the underground parts accounted for 28.0%.About 87.2% of biomass existed in the tree layer.The resprouting biomass was small,of which over 95.0% occurred in the shrub layer.The productivity of the aboveground parts of the community was(386.8±98.9) g m-2a-1,in which more than 96.0% was present at the tree level.The trunk's contribution to productivity was the greatest,while that of leaves was the smallest.In China,the community biomass of subtropical evergreen broadleaved forests differs significantly with the age of the forest.The community biomass of the 52-year-old S.superba-C.carlesii forests in this study was lower than the average biomass of subtropical evergreen broadleaved forests in China,and was lower than the biomass of other subtropical evergreen broadleaved forests elsewhere in the world.Moreover,its productivity was lower than the model estimate,indicating that without disturbance,this community has great developmental potential in terms of community biomass and productivity.
