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71.
灌溉条件下3种沙生灌木光合特性及其与生态因子的关系 总被引：1，自引：0，他引：1
以沙地种植的沙地灌木桑(灌木桑)、红花罗布麻(红麻)和沙木蓼幼苗为试验材料,活体测定了其叶片的光合生理生态参数日进程、光合-光强响应及光合-CO2浓度响应特征,分析了净光合速率(Pn)与主要生态因子的关系。结果表明:(1)灌木桑、红麻和沙木蓼的净光合速率日动态曲线分别呈"双峰型"、"单峰型"和"持续下降型"。(2)沙木蓼的水分利用效率(WUE)和光能利用效率(QUE)明显高于红麻及灌木桑;灌木桑对光照强度具有强的生态适应幅,而红麻利用光强的范围较窄,光合潜能不高,沙木蓼的最大净光合速率(Pmax)最高,其植株的光合能力也最强;红麻具有最高的CO2补偿点和饱和点,同时具有较小的Pmax值。(3)气温(Ta)对灌木桑和红麻Pn的直接、间接影响均较大,而水汽压亏缺(VPD)偶联Ta对沙木蓼、红麻的Pn有较大的间接影响。研究认为,依据各灌木的光合生理适应性特征,沙木蓼可在干旱沙区光照较强的阳坡等区域种植,灌木桑可选择在绿洲与荒漠的过渡带造林,红麻则可在光强较弱的阴坡或坡间低地造林。 相似文献
72.
《植物生态学报》2016,40(4):364
Aims
Accurate estimation of carbon density and storage is among the key challenges in evaluating ecosystem carbon sink potentials for reducing atmospheric CO2 concentration. It is also important for developing future conservation strategies and sustainable practices. Our objectives were to estimate the ecosystem carbon density and storage of Picea schrenkiana forests in Tianshan region of Xinjiang, and to analyze the spatial distribution and influencing factors.
Methods
Based on field measurements, the forest resource inventories, and laboratory analyses, we studied the carbon storage, its spatial distribution, and the potential influencing factors in Picea schrenkiana forest of Tianshan. Field surveys of 70 sites, with 800 m2 (28.3 m × 28.3 m) for plot size, was conducted in 2011 for quantifying arbor biomass (leaf, branch, trunk and root), grass and litterfall biomass, soil bulk density, and other laboratory analyses of vegetation carbon content, soil organic carbon content, etc.
Important findings
The carbon content of the leaf, branch, trunk and root of Picea schrenkiana is varied from 46.56% to 52.22%. The vegetation carbon content of arbor and the herbatious/litterfall layer was 49% and 42%, respectively. The forest biomass of Picea schrenkiana was 187.98 Mg·hm-2, with 98.93% found in the arbor layer. The biomass in all layers was in the order of trunk (109.81 Mg·hm-2) > root (39.79 Mg·hm-2) > branch (23.62 Mg·hm-2) > leaf (12.76 Mg·hm-2). From the age-group point of view, the highest and the lowest biomass was found at the mature forest (228.74 Mg·hm-2) and young forest (146.77 Mg·hm-2), respectively. The carbon density and storage were 544.57 Mg·hm-2 and 290.84 Tg C, with vegetation portion of 92.57 Mg·hm-2 and 53.14 Tg C, and soil portion of 452.00 Mg·hm-2 and 237.70 Tg C, respectively. The spatial distribution of carbon density and storage appeared higher in the western areas than those in the eastern regions. In the western Tianshan Mountains (e.g., Ili district), carbon density was the highest, whereas the central Tianshan Mountains (e.g., Manas County, Fukang City, Qitai County) also had high carbon density. In the eastern Tianshan Mountains (e.g., Hami City), it was low. This distribution seemed consistent with the changes in environmental conditions. The primary causes of carbon density difference might be a combined effects of multiple environmental factors such as terrain, precipitation, temperature, and soil. 相似文献
Accurate estimation of carbon density and storage is among the key challenges in evaluating ecosystem carbon sink potentials for reducing atmospheric CO2 concentration. It is also important for developing future conservation strategies and sustainable practices. Our objectives were to estimate the ecosystem carbon density and storage of Picea schrenkiana forests in Tianshan region of Xinjiang, and to analyze the spatial distribution and influencing factors.
Methods
Based on field measurements, the forest resource inventories, and laboratory analyses, we studied the carbon storage, its spatial distribution, and the potential influencing factors in Picea schrenkiana forest of Tianshan. Field surveys of 70 sites, with 800 m2 (28.3 m × 28.3 m) for plot size, was conducted in 2011 for quantifying arbor biomass (leaf, branch, trunk and root), grass and litterfall biomass, soil bulk density, and other laboratory analyses of vegetation carbon content, soil organic carbon content, etc.
Important findings
The carbon content of the leaf, branch, trunk and root of Picea schrenkiana is varied from 46.56% to 52.22%. The vegetation carbon content of arbor and the herbatious/litterfall layer was 49% and 42%, respectively. The forest biomass of Picea schrenkiana was 187.98 Mg·hm-2, with 98.93% found in the arbor layer. The biomass in all layers was in the order of trunk (109.81 Mg·hm-2) > root (39.79 Mg·hm-2) > branch (23.62 Mg·hm-2) > leaf (12.76 Mg·hm-2). From the age-group point of view, the highest and the lowest biomass was found at the mature forest (228.74 Mg·hm-2) and young forest (146.77 Mg·hm-2), respectively. The carbon density and storage were 544.57 Mg·hm-2 and 290.84 Tg C, with vegetation portion of 92.57 Mg·hm-2 and 53.14 Tg C, and soil portion of 452.00 Mg·hm-2 and 237.70 Tg C, respectively. The spatial distribution of carbon density and storage appeared higher in the western areas than those in the eastern regions. In the western Tianshan Mountains (e.g., Ili district), carbon density was the highest, whereas the central Tianshan Mountains (e.g., Manas County, Fukang City, Qitai County) also had high carbon density. In the eastern Tianshan Mountains (e.g., Hami City), it was low. This distribution seemed consistent with the changes in environmental conditions. The primary causes of carbon density difference might be a combined effects of multiple environmental factors such as terrain, precipitation, temperature, and soil. 相似文献
74.
鸟鲁木齐市野生甘草资源经过多年利用已濒临枯竭。研究并推广甘草的人工种植是解决甘草资源再生的重要途径之一。 相似文献
75.
76.
广泛分布在乌鲁木齐市草原上的有毒草对牲畜危害严重,科学地防除草原有毒草并进行开发利用,是减缓草原退化、保护生态环境的重要举措. 相似文献