Sejila Mountain is located in Linzhi City,southeast Tibet.The terrain is high,and the climate is cold and dry.The special ecological environment determines the richness and diversity of plant resources.In this study,t...Sejila Mountain is located in Linzhi City,southeast Tibet.The terrain is high,and the climate is cold and dry.The special ecological environment determines the richness and diversity of plant resources.In this study,the plant resources and diversity of Sejila Mountain were studied through field investigation,literature review and specimen identification.282 plant species belonging to 199 genera and 81 families were collected from July to August in 2021.The dominant families are Asteraceae,Ranunculaceae and Rosaceae.In terms of life form,perennial herbs are the main form,accounting for 58.16%of the total.178 species of medicinal plants were collected,including 33 species of Tibetan medicine.In terms of medicinal parts,the whole grass is mainly used as medicine,followed by roots and rhizomes.In conclusion,our study has updated the plant resources and diversity of Sejila Mountain.Based on the investigation and research,some suggestions were put forward to strengthen the protection and utilization of the plant resources in Sejila Mountain.展开更多
Understanding population structure provides basic ecological data related to species and ecosystems.Our objective was to understand the mechanisms involved in the maintenance of Quercus aquifolioides populations.Using...Understanding population structure provides basic ecological data related to species and ecosystems.Our objective was to understand the mechanisms involved in the maintenance of Quercus aquifolioides populations.Using a 1 ha permanent sample plot data for Q.aquifolioides on Sejila Mountain,Tibet Autonomous Region(Tibet),China,we analyzed the population structure of Q.aquifolioides by combining data for diameter class,static life table and survival curve.Simultaneously,the spatial distribution of Q.aquifolioides was studied using Ripley’s L Function in point pattern analysis.The results showed:(1) Individuals in Q.aquifolioides populations were mainly aggregated in the youngest age classes,that accounted for94.3% of the individuals; the older age classes had much smaller populations.Although the youngest age classes(ClassesⅠ and Ⅱ) had fewer individuals than Class Ⅲ,the total number of individuals in classes Ⅰ and Ⅱ was also greater than in classes Ⅳ to Ⅸ.In terms of tree height,fewsaplings,more medium-sized saplings and few large-sized trees were found.The diameter class structure of Q.aquifolioides populations formed an atypical ‘pyramid’type; the population was expanding,but growth was limited,tending toward a stable population.(2) Mortality of Q.aquifolioides increased continuously with age; life expectancy decreased over time,and the survivorship curve was close to a Deevey I curve.(3) The spatial distribution pattern of Q.aquifolioides varied widely across different developmental stages.Saplings and medium-sized tree showed aggregated distributions at the scales of 0–33 m and 0–29 m,respectively.The aggregation intensities of saplings and medium-sized trees at small scales were significantly stronger than that of large-sized trees.However,large-sized trees showed a random distribution at most scales.(4) No correlation was observed among saplings,medium-and large-sized trees at small scales,while a significant and negative association was observed as the scale increased.Strong competition was found among saplings,medium-and large-sized trees,while no significant association was observed between medium-and largesized trees at all scales.Biotic interactions and local ecological characteristics influenced the spatial distribution pattern of Q.aquifolioides populations most strongly.展开更多
[Objectives]To study the characteristics of bryophytes in subalpine cold zone and related transition zone.[Methods]The study was divided into scale A and scale B.On the scale of A,specimens were collected from Tongmai...[Objectives]To study the characteristics of bryophytes in subalpine cold zone and related transition zone.[Methods]The study was divided into scale A and scale B.On the scale of A,specimens were collected from Tongmai-Pailong-Dongjiu-Lulang-Sejila Pass-Nyingchi Town-Bagi Village along the national Highway 318.A sample plot was set for each 100 m altitude increase,and samples were collected between each two sample plots as well.On the scale of B,bryophyte specimens were collected and studied in the fixed sample plot of the Tibetan Nyingchi Alpine forest Ecosystem Research Observatory.[Results]Through the sampling and collection of bryophytes in Sejila Mountain,more than 3000 specimens were identified with the classical classification method.There were 216 species of bryophytes belonging to 82 genera and 24 families.The bryophytes in the study area differed obviously in different vegetation types and slopes.The species richness of Sabina saltuaria-Abiesgeorgei var.smithii forest was the highest.Theαdiversity of Abiesgeorgei var.smithii forest was the highest,followed by Sabina saltuaria-Rhododendron forest,and that of alpine shrub was the lowest.Diversity studies showed that theβdiversity of Sabina saltuaria-Rhododendron forest and Rhododendron forest on the eastern slope was the largest,and those of alpine shrub and Sabina saltuaria-Abiesgeorgei var.smithii forest were the lowest.However,theβdiversity of Abiesgeorgei var.smithii forest on the western slope was the highest,and those of alpine shrub and Abiesgeorgei var.smithii forest were the lowest.[Conclusions]There are obvious differences in the distribution of bryophytes on the eastern and western slopes of Sejila Mountain of Tibet.展开更多
本研究以色季拉山高寒草甸区为研究对象,在2021-2022年期间连续采集大气氮干湿沉降样品,分析监测数据,研究色季拉山高寒草甸区大气氮沉降的年内动态变化特。结果表明:色季拉山高寒草甸降水量表现为夏季>春季>秋季>冬季的季节...本研究以色季拉山高寒草甸区为研究对象,在2021-2022年期间连续采集大气氮干湿沉降样品,分析监测数据,研究色季拉山高寒草甸区大气氮沉降的年内动态变化特。结果表明:色季拉山高寒草甸降水量表现为夏季>春季>秋季>冬季的季节变化规律。NH_(4)^(+)-N的浓度季节变化规律表现为春季>冬季>夏季>秋季,NO_(3)^(-)-N的浓度季节变化表现为冬季>春季>秋季>夏季的变化趋势,无机氮沉降主要与降雨量和温度有关。在2021-2022年期间,研究区的大气氮湿沉降中的NH_(4)^(+)-N、NO_(3)^(-)-N和TN沉降通量均呈现出夏季>春季>秋季>冬季的特点,无机氮沉降表现为春、夏季高,秋、冬季低,DON沉降通量没有表现出很大的季节差异性,DON的沉降通量占总沉降通量的55.2%~82.85%之间,无机氮的占比在17.2%~44.85%之间。色季拉山高寒草甸区的大气氮干沉降中,NH_(3)沉降通量在季节分配上表现为夏季>秋季>春季>冬季的特点,NO_(2)表现为夏季>春季>冬季>秋季的特点。此外,干沉降以NH_(3)的沉降为主,春、秋和冬季中占了总干沉降通量96%以上。在2021-2022年期间,研究区的大气氮沉降以湿沉降为主。总干沉降通量为0.96 kg N ha^(-1),总湿沉降通量24.68 kg N ha^(-1),湿沉降通量远远高于干沉降通量.展开更多
文摘Sejila Mountain is located in Linzhi City,southeast Tibet.The terrain is high,and the climate is cold and dry.The special ecological environment determines the richness and diversity of plant resources.In this study,the plant resources and diversity of Sejila Mountain were studied through field investigation,literature review and specimen identification.282 plant species belonging to 199 genera and 81 families were collected from July to August in 2021.The dominant families are Asteraceae,Ranunculaceae and Rosaceae.In terms of life form,perennial herbs are the main form,accounting for 58.16%of the total.178 species of medicinal plants were collected,including 33 species of Tibetan medicine.In terms of medicinal parts,the whole grass is mainly used as medicine,followed by roots and rhizomes.In conclusion,our study has updated the plant resources and diversity of Sejila Mountain.Based on the investigation and research,some suggestions were put forward to strengthen the protection and utilization of the plant resources in Sejila Mountain.
基金financially supported by the National Key Technology Support Program(Grant No.2013BAC04B01)the National Natural Science Foundation of China(Grant No.31460200)
文摘Understanding population structure provides basic ecological data related to species and ecosystems.Our objective was to understand the mechanisms involved in the maintenance of Quercus aquifolioides populations.Using a 1 ha permanent sample plot data for Q.aquifolioides on Sejila Mountain,Tibet Autonomous Region(Tibet),China,we analyzed the population structure of Q.aquifolioides by combining data for diameter class,static life table and survival curve.Simultaneously,the spatial distribution of Q.aquifolioides was studied using Ripley’s L Function in point pattern analysis.The results showed:(1) Individuals in Q.aquifolioides populations were mainly aggregated in the youngest age classes,that accounted for94.3% of the individuals; the older age classes had much smaller populations.Although the youngest age classes(ClassesⅠ and Ⅱ) had fewer individuals than Class Ⅲ,the total number of individuals in classes Ⅰ and Ⅱ was also greater than in classes Ⅳ to Ⅸ.In terms of tree height,fewsaplings,more medium-sized saplings and few large-sized trees were found.The diameter class structure of Q.aquifolioides populations formed an atypical ‘pyramid’type; the population was expanding,but growth was limited,tending toward a stable population.(2) Mortality of Q.aquifolioides increased continuously with age; life expectancy decreased over time,and the survivorship curve was close to a Deevey I curve.(3) The spatial distribution pattern of Q.aquifolioides varied widely across different developmental stages.Saplings and medium-sized tree showed aggregated distributions at the scales of 0–33 m and 0–29 m,respectively.The aggregation intensities of saplings and medium-sized trees at small scales were significantly stronger than that of large-sized trees.However,large-sized trees showed a random distribution at most scales.(4) No correlation was observed among saplings,medium-and large-sized trees at small scales,while a significant and negative association was observed as the scale increased.Strong competition was found among saplings,medium-and large-sized trees,while no significant association was observed between medium-and largesized trees at all scales.Biotic interactions and local ecological characteristics influenced the spatial distribution pattern of Q.aquifolioides populations most strongly.
基金Open Project of State Key Laboratory of Vegetation and Environmental Change(LVEC-2020KF01)National Natural Science Foundation of China(32060264).
文摘[Objectives]To study the characteristics of bryophytes in subalpine cold zone and related transition zone.[Methods]The study was divided into scale A and scale B.On the scale of A,specimens were collected from Tongmai-Pailong-Dongjiu-Lulang-Sejila Pass-Nyingchi Town-Bagi Village along the national Highway 318.A sample plot was set for each 100 m altitude increase,and samples were collected between each two sample plots as well.On the scale of B,bryophyte specimens were collected and studied in the fixed sample plot of the Tibetan Nyingchi Alpine forest Ecosystem Research Observatory.[Results]Through the sampling and collection of bryophytes in Sejila Mountain,more than 3000 specimens were identified with the classical classification method.There were 216 species of bryophytes belonging to 82 genera and 24 families.The bryophytes in the study area differed obviously in different vegetation types and slopes.The species richness of Sabina saltuaria-Abiesgeorgei var.smithii forest was the highest.Theαdiversity of Abiesgeorgei var.smithii forest was the highest,followed by Sabina saltuaria-Rhododendron forest,and that of alpine shrub was the lowest.Diversity studies showed that theβdiversity of Sabina saltuaria-Rhododendron forest and Rhododendron forest on the eastern slope was the largest,and those of alpine shrub and Sabina saltuaria-Abiesgeorgei var.smithii forest were the lowest.However,theβdiversity of Abiesgeorgei var.smithii forest on the western slope was the highest,and those of alpine shrub and Abiesgeorgei var.smithii forest were the lowest.[Conclusions]There are obvious differences in the distribution of bryophytes on the eastern and western slopes of Sejila Mountain of Tibet.
文摘本研究以色季拉山高寒草甸区为研究对象,在2021-2022年期间连续采集大气氮干湿沉降样品,分析监测数据,研究色季拉山高寒草甸区大气氮沉降的年内动态变化特。结果表明:色季拉山高寒草甸降水量表现为夏季>春季>秋季>冬季的季节变化规律。NH_(4)^(+)-N的浓度季节变化规律表现为春季>冬季>夏季>秋季,NO_(3)^(-)-N的浓度季节变化表现为冬季>春季>秋季>夏季的变化趋势,无机氮沉降主要与降雨量和温度有关。在2021-2022年期间,研究区的大气氮湿沉降中的NH_(4)^(+)-N、NO_(3)^(-)-N和TN沉降通量均呈现出夏季>春季>秋季>冬季的特点,无机氮沉降表现为春、夏季高,秋、冬季低,DON沉降通量没有表现出很大的季节差异性,DON的沉降通量占总沉降通量的55.2%~82.85%之间,无机氮的占比在17.2%~44.85%之间。色季拉山高寒草甸区的大气氮干沉降中,NH_(3)沉降通量在季节分配上表现为夏季>秋季>春季>冬季的特点,NO_(2)表现为夏季>春季>冬季>秋季的特点。此外,干沉降以NH_(3)的沉降为主,春、秋和冬季中占了总干沉降通量96%以上。在2021-2022年期间,研究区的大气氮沉降以湿沉降为主。总干沉降通量为0.96 kg N ha^(-1),总湿沉降通量24.68 kg N ha^(-1),湿沉降通量远远高于干沉降通量.