KIRA指标的拓展及其在中国植被与气候关系研究中的应用

根据Kira以月平均气温5℃为界的热量指数和干湿度指数概念,提出了以月平均气温10℃为界的生物热量指数,包括生物温暖指数(BWI)和生物寒冷指数(BCI),并修正其干湿度指数为生物干湿度指数(BK).利用中国689个标准气象台站的资料,分析我国主要植被类型分布与热量因子和干湿度因子的关系,得出两者之间较好的相关性,生物温暖指数、寒冷指数和干湿度指数的散点图较好地表现了中国各植被类型与气候指标的关系和格局.以10℃为界的生物温暖指数不仅对我国森林植被的地理分布和温度气候带的划分具有较好的指示作用,而且对西南部高山、亚高山地区的植被与气候关系指示性较强;生物寒冷指数则对亚热带和热带的指示性很好,能够较好区分亚热带南部及热带地区;由热量指数和降水量综合得出的生物干湿度指数,对中国西北部干旱、半干旱区以至全国的植被分布与水分、热量因子的关系分析有较好的应用价值.     

中国亚热带常绿阔叶林优势种及常见种的水热分布类群

 利用目前国际上比较常用的植被—气候相关分析的气候指标,如Kira的温暖指数和寒冷指数,徐文铎的湿润指数,Penman的可能蒸散和干燥度指标,Thornthwaite的潜在可能蒸散和水分指数,Holdridge生命地带分类系统指标以及气温和降水等单一气候因子,综合对中国亚热带常绿阔叶林优势种及常见种进行TWINSPAN分类和DCA排序,可将植物种分为8个水热分布类群,较好地反映出优势种及常见种沿热量和水分梯度的分布格局。并总结了这8个水热分布类群的气候指标范围。这8个类群是：Ⅰ高温湿润型,Ⅱ高中温湿润型,Ⅲ低中温湿润型,Ⅳ高低温中湿型,Ⅴ低低温中湿型,Ⅵ低温半湿润型,Ⅶ高低温低湿型,Ⅷ低低温低湿型     

地带性植被

又称“显域植被”。地球上各种植被类型的分布,基本上取决于热量和水分等相应的气候条件。太阳辐射供给地球的热量,从赤道向南、北两极形成了不同的气候带,而在分布上与气候带界线大体相符的大面积的植被类型就称为地带性植被。所以地带性植被就住往被用来指水平地带上的各类典型植被,如热带雨林和季雨林、亚热带常绿阔叶林、温带草原、温带落叶阔叶林、温带荒漠、寒温带针叶林等。大多数生物圈保护区中的核心区,都包含了该保护区所在地的地带性植被的各种群落类型。     

中国不同植被区对极端气候的响应差异

分析不同区域植被对极端气候的响应对于加深对植被与气候之间关系的理解以及制定应对极端气候条件的措施尤为重要。基于2001—2020年气候数据和归一化植被指数(NDVI)数据,以植被区划为分析单元,分析中国8个植被区的NDVI和27个极端气候指数的时空变化趋势,探究各植被区植被NDVI对极端气候的响应特征与差异性。结果表明：(1)整个研究区及各植被区的平均NDVI年最大值呈显著增加趋势,其中,温带针叶、落叶阔叶混交林区增加趋势最明显,青藏高原高寒植被区增加趋势最弱。(2)极端高温指数多呈升高趋势。极端降水指数在研究区东部呈升高趋势,在西南部呈减少趋势。(3)在不同植被区对NDVI影响最大的极端气候指数不同,其中在寒温带针叶林区影响最大的指数为温暖时间持续指数(WSDI);在温带针叶、落叶阔叶混交林区和热带季风雨林、雨林区影响最大的指数为最高低温(TNx);在暖温带落叶阔叶林区和亚热带常绿阔叶林区为简单降水强度指数(SDII);在温带草原区为最高高温(TXx);在温带荒漠区为年总降水量(PRCPTOT);在青藏高原高寒植被区为结冰天数(ID)。     

中国木荷及木荷林的地理分布与气候的关系

在广泛收集木荷（ＳｃｈｉｍａｓｕｐｅｒｂａＧａｒｄｎ．ｅｔＣｈａｍｐ．）及木荷林地理分布资料的基础上,利用目前国际上比较流行的研究植被－气候相互关系的指标和方法,包括Ｋｉｒａ的水热指标,Ｐｅｎｍａｎ的公式,Ｔｈｏｒｎｔｈｗａｉｔｅ的指标和气候分类,Ｈｏｌｄｒｉｄｇｅ的生命地带分类系统指标,以及单一气象因子年平均气温、年降水量等,分析研究了木荷及木荷林在中国的分布与气候的关系,讨论了木荷分布上限、下限以及北界的Ｋｉｒａ热量指标状况,并利用Ｈｏｌｄｒｉｄｇｅ生命地带分类系统指标预测了未来气候变化条件下中国木荷及木荷林分布区的可能变化     

长白山阔叶红松林近22年的气候动态

长白山阔叶红松林作为典型的温带森林生态系统。其长期的气候动态状况对研究全球变化具有重要的意义。本文采用中国科学院长白山森林生态系统定位站气象观测场1982～2003年的地面常规气象观测资料,对长白山阔叶红松林的光能因子（包括年日照时数、年日照百分率）、热量因子（包括年平均气温、1月、7月月平均气温、年极端最高、最低气温、年积温）、水分因子（包括年总降水量、年最大雪深、相对湿度、年总蒸发量）、以及年平均风速与风向等气候因子进行了分析,从而得出这些因子22年的平均值及其动态变化趋势,进而为相关领域的研究提供基础资料。     

全球变化的中国气体—植被分类研究

区域潜在蒸散具有作为植被－气候相关分析与分类的综合气候指标的功能。根据区域潜在蒸散对气候－植被分类的热量与水分指标进行了初步探讨,并对中国气候－植被分类进行了初步的定量研究。根据该模型对中国陆地生态系统对全球变化的反应进行了探讨,结果表明我国自然植被在气温增加２℃或４℃、降水增加２０％时,森林和草原的面积都有所减少,且随着温度的升高而减少,沙漠化趋势增强。特别是青藏高原地区对全球气候变化非常敏感,     

青藏高原地区气候图解数据集

气候图解可以直观反映气象台站基本信息和气温、降水等气象数据,是研究植被与气候关系的有效方式。为便于了解青藏高原不同植被区域气候特征,进一步认识青藏高原植被与气候关系,该文基于1951–1980年与1981–2010年青藏高原地区国家地面气象台站基本信息和各30年平均观测数据,依据《中国植被》所述标准制作每个气象台站的气候图解。论文提供了青藏高原地区主要台站气候图解集,包括两个30年时间段共计205幅图解。研究表明:(1)青藏高原地区气温和降水总体水平偏低,前后30年年平均气温和年降水量整体呈上升趋势;(2)青藏高原地区各气象台站记录值随植被区域不同表现出较大差异。虽然青藏高原西部地区的气象台站数量很少,但该数据集仍涵盖了高原面上的不同植被地带,可有效运用于高原植被与气候关系研究,为展示高原气候环境等提供便利。     

全球变化的中国气候-植被分类研究

区域潜在蒸散具有作为植被－气候相关分析与分类的综合气候指标的功能。根据区域潜在蒸散对气候－植被分类的热量与水分指标进行了初步探讨,并对中国气候－植被分类进行了初步的定量研究。根据该模式对中国陆地生态系统对全球变化的反应进行了探讨,结果表明我国自然植被在气温增加２℃或４ ℃、降水增加２０％ 时, 森林和草原的面积都有所减少,且随着温度的升高而减少,沙漠化趋势增强。特别是青藏高原地区对全球气候变化非常敏感,因而可以作为全球变化的先兆区或预警区,具有重要的监测和研究意义     

黄土高原地区植被与气候的关系

利用地理信息系统技术结合典范对应分析和数量区划的方法。研究了黄土高原地区植被与气候之间的关系。排序结果表明：CCA的第一轴代表黄土高原植被和气候梯度的纬向变化,水分梯度是决定植被分布的最主要气候因子,热量梯度中的全年月平均最低气温、月平均最高气温、年均温也对植被的纬向性分布有较大的影响,黄土高原植被与气候梯度表现出明显的纬向性;CCA的第二轴代表黄土高原植被和气候梯度的经向性变化,热量梯度是决定植被经向性分布的最主要气候因子,水分梯度中的全年最大蒸散量对植被的经向性分布有较大的影响。黄土高原植被与气候梯度表现出明显的经向分布规律性。     

An Ecogeographical Regionalization for Biodiversity in China

Ecogeographical regionalization is the basis for spatial differentiation of biodiversity research. In view of the principle of international ecogeographical regionalization, this study has applied multivariate analysis and GIS method and based on some ecogeographical attributes limited to the distribution of plant and vegetation, including climatic factors, such as minimum temperature, mean temperature of the coldest month, mean temperature of the wannest month, annual average temperature, precipitation of the coldest month, precipitation of the wannest month, annual precipitation, CV of annual precipitation, biological factors such as vegetation types, vegetation division types, NPP, fiorisitic types, fauna types, abundance of plant species, genus and endemic genus; soil factors such as soil types, soil pH;topographical factors as longitude, latitude and altitude etc. The ecogeographical regionalization for biodiversity in China was made synthetically by using fuzzy cluster method. Four classes of division were used, viz., biodomain, subbiodomain, biome and bioregion. Five biodomains, seven subbiodomains and eighteen biomes were divided in China as follows: Ⅰ Boreal forest biodomain. Ⅰ A Eurasian boreal forest subbiodomain. Ⅰ A1 Southern Taiga mountain cold-temperate coniferous forest biome; Ⅰ A2 North Asian mixed coniferous-broad-leaved forest biome. Ⅱ Northern steppe and desert biodomain. Ⅱ B Eurasian steppe subbiodomain. Ⅱ BI Inner Asian temperate grass steppe biome; Ⅱ B2 Loess Plateau warm-temperate forest/shmb steppe biome. Ⅱ C Asia-Mrica desert subbiodomain. Ⅱ C1 Mid-Asian temperate desert biome; Ⅱ C2 Mongolian/Inner Asian temperate desert biome. Ⅲ East Asian biodomain. Ⅲ D East Asian deciduous broad-leaved forest subbiodomain. Ⅲ D1 East Asian deciduous broad-leaved forest biome, Ⅲ E East Asian evergreen broad-leaved forest subbiodomain. Ⅲ El East Asian mixed deciduous-evergreen broad-leaved forest biome; Ⅲ E2 East Asian evergreen broad-leaved forest biome; Ⅲ E3 East Asian monsoon evergreen broad-leaved forest biome; Ⅲ FA Western East Asian mountain evergreen broadleaved forest biome. Ⅳ Palaeotropical subdomain. IV F India-Malaysian tropical forest subbiodomain.Ⅳ Fl Northern tropical rain forest/seasonal rain forest biome; Ⅳ F2 Tropical island coral reef vegetation biome. Ⅴ Asian plateau biodomain. Ⅴ G Tibet Plateau subbiodomain. Ⅴ G1 Tibet alpine highcold shrub meadow biome;Ⅴ G2 Tibet alpine high-cold steppe biome; Ⅴ G3 Tibet alpine high-cold desert biome; Ⅴ G4 Tibet alpine temperate steppe biome; Ⅴ G5 Tibet alpine temperate desert biome.     

Climate and vegetation in China III water balance and distribution of vegetation

Distributions of 29 vegetation types in China as a function of climatic humidity or aridity were analysed using Thornthwaite's system, by employing meteorological records from 671 stations in China. The annual potential evapotranspiration and the humidity/aridity indices were calculated for every station, and distribution maps of water deficiency, water surplus and moisture index (Im) were constructed. The Im map showed that arid areas (Im<0) occupied about 56% of the country. The effect of the difference in soil water storage capacity on Thornthwaite's indices was examined, and Im values were found to differ little, although some differences were observed in actual annual evapotranspiration, water deficiency and water surplus values. Correlations between Im values and distributions of 29 vegetation types, identified from a vegetation map with a scale of 1/4000000, were investigated. The distributions of desert, steppe, woodland, deciduous forest and evergreen forest corresponded to Im values of below −40, −40–−20, −20-0, 0–60 and over 60, respectively. In addition, climatic factors delimiting the northern distribution of evergreen broadleaf forest were investigated, and it was clarified that the northern limit was restricted by combined hydrothermal conditions, and not by the low temperature in winter.     

中国成熟天然林土壤有机碳垂直分异特征

以分布在中国不同气候区的131个成熟天然林土壤为研究对象,测定不同土层(0～10、10～20、20～30、30～50和50～100 cm)土壤有机碳(SOC)密度,分析其与气象因子、土壤性质的关系,研究天然林SOC垂直分布特征及其影响机理。结果表明: 温带针叶林、温带落叶阔叶林、亚热带落叶阔叶林和亚热带常绿阔叶林0～30 cm土层SOC密度均随土壤深度增加而降低。在0～100 cm土层,SOC密度地带性分异明显,温带针叶林SOC密度显著高于温带落叶阔叶林,亚热带常绿阔叶林SOC密度显著高于亚热带落叶阔叶林。SOC密度与土壤黏粒、年降水量以及地上净初级生产力呈显著正相关,与土壤pH和年均温呈显著负相关。年降水量与年均温调节天然林SOC输入与输出,土壤pH与黏粒影响天然林SOC积累,对成熟的天然针叶林与常绿阔叶林进行有效保护,有利于增加我国森林土壤碳库。     

Modelling the vegetation of China using the process-based equilibrium terrestrial biosphere model BIOME3

1 We model the potential vegetation and annual net primary production (NPP) of China on a 10′ grid under the present climate using the processed‐based equilibrium terrestrial biosphere model BIOME3. The simulated distribution of the vegetation was in general in good agreement with the potential natural vegetation based on a numerical comparison between the two maps using the ΔV statistic (ΔV = 0.23). Predicted and measured NPP were also similar, especially in terms of biome‐averages. 2 A coupled ocean–atmosphere general circulation model including sulphate aerosols was used to drive a double greenhouse gas scenario for 2070–2099. Simulated vegetation maps from two different CO₂ scenarios (340 and 500 p.p.m.v.) were compared to the baseline biome map using ΔV. Climate change alone produced a large reduction in desert, alpine tundra and ice/polar desert, and a general pole‐ward shift of the boreal, temperate deciduous, warm–temperate evergreen and tropical forest belts, a decline in boreal deciduous forest and the appearance of tropical deciduous forest. The inclusion of CO₂ physiological effects led to a marked decrease in moist savannas and desert, a general decrease for grasslands and steppe, and disappearance of xeric woodland/scrub. Temperate deciduous broadleaved forest, however, shifted north to occupy nearly half the area of previously temperate mixed forest. 3 The impact of climate change and increasing CO₂ is not only on biogeography, but also on potential NPP. The NPP values for most of the biomes in the scenarios with CO₂ set at 340 p.p.m.v. and 500 p.p.m.v. are greater than those under the current climate, except for the temperate deciduous forest, temperate evergreen broadleaved forest, tropical rain forest, tropical seasonal forest, and xeric woodland/scrub biomes. Total vegetation and total carbon is simulated to increase significantly in the future climate scenario, both with and without the CO₂ direct physiological effect. 4 Our results show that the global process‐based equilibrium terrestrial biosphere model BIOME3 can be used successfully at a regional scale.     

云南地区种子植物区系成分的地理分布格局及其聚类分析

以覆盖云南地区全境的种子植物分布信息为基础,结合GIS和聚类分析的方法探讨了云南地区植物区系成分的地理分布格局.结果表明,随着纬度的升高,世界分布成分所占的比重呈递增趋势,热带区系成分所占比重呈递减趋势,而温带区系成分所占比重则呈递增格局.聚类分析结果表明,在24.5°N左右,研究区域可分为南北两个部分.分界线以南,热带区系成分占优势地位,植被类型主要为热带区系性质强烈的山地雨林、季节雨林、季雨林和季风常绿阔叶林等;分界线以北,温带区系成分所占比重相对较高,甚至占主导地位,植被类型主要为具较强温带区系性质的硬叶常绿阔叶林、温性针叶林、针阔混交林和高寒草甸以及具强烈区系过渡性质的半湿润、湿性常绿阔叶林.该分界线与"田中线"不同,可能源于研究目标和内容的差异.

Abstract：

Based on all-around floristic information,and by using geographical information system and cluster analysis,this paper studied the spatial pattern of seed plant floristic elements in Yunnan Province of China.It was indicated that the proportions of cosmopolitan and temperate elements increased with increasing latitude,while those of tropical elements had a decreasing trend.Cluster analysis showed that the study area could be divided into two parts,with the latitude about 24.5°N as a division line.To the south of the line,the dominant flora was tropical elements,and the vegetation was dominated by tropical mountain rainforest,seasonal rain forest,monsoon rain forest,and monsoon evergreen broadleaved forest.To the north of the line,there were much greater proportions of temperate elements,and the vegetation was dominated by the evergreen,hard and broadleaved forest,temperate coniferous forest,coniferous and broadleaved mixed forest,alpine meadow,and evergreen broadleaved forest(moist or semi-moist,showing strong floristic transition).This division line was different from "Tanaka Line",possibly due to different study aims and contents.     

Soil Respiration and Organic Carbon Dynamics with Grassland Conversions to Woodlands in Temperate China

Soils are the largest terrestrial carbon store and soil respiration is the second-largest flux in ecosystem carbon cycling. Across China''s temperate region, climatic changes and human activities have frequently caused the transformation of grasslands to woodlands. However, the effect of this transition on soil respiration and soil organic carbon (SOC) dynamics remains uncertain in this area. In this study, we measured in situ soil respiration and SOC storage over a two-year period (Jan. 2007–Dec. 2008) from five characteristic vegetation types in a forest-steppe ecotone of temperate China, including grassland (GR), shrubland (SH), as well as in evergreen coniferous (EC), deciduous coniferous (DC) and deciduous broadleaved forest (DB), to evaluate the changes of soil respiration and SOC storage with grassland conversions to diverse types of woodlands. Annual soil respiration increased by 3%, 6%, 14%, and 22% after the conversion from GR to EC, SH, DC, and DB, respectively. The variation in soil respiration among different vegetation types could be well explained by SOC and soil total nitrogen content. Despite higher soil respiration in woodlands, SOC storage and residence time increased in the upper 20 cm of soil. Our results suggest that the differences in soil environmental conditions, especially soil substrate availability, influenced the level of annual soil respiration produced by different vegetation types. Moreover, shifts from grassland to woody plant dominance resulted in increased SOC storage. Given the widespread increase in woody plant abundance caused by climate change and large-scale afforestation programs, the soils are expected to accumulate and store increased amounts of organic carbon in temperate areas of China.     

1985-2015年中国不同生态系统NDVI时空变化及其对气候因子的响应

植被是陆地生态系统不可或缺的部分,气候是影响其动态变化的重要驱动因素。因此,探究植被的时空变化及其与气候因子的响应关系,有助于理解陆地生态系统的内在演化机制。目前,不同生态系统尺度下的植被动态变化与气候因子的时间响应关系仍未被完整剖析。因此,为了厘清过去30年不同生态系统植被生长对气候因子的响应关系,利用GIMMS NDVI3g数据和气候资料数据,通过Theil-Sen Median趋势分析和Mann-Kendall检验分析了1985—2015年中国陆地NDVI的时空变化特征,结合时间序列相关分析探究了NDVI变化与降水、温度和饱和水汽压差的内部关联,探讨了中国不同生态系统植被与气候因子间的时间响应机制。结果表明：(1) 1985—2015年中国陆地植被呈现改善趋势,年均NDVI先减小后增加,拐点时间在1995年左右,整体变化率为0.5×10^-3/a。农田、森林和草地生态系统的植被显著改善的程度最高,湿地生态系统的植被退化趋势最显著。(2)中国陆地植被NDVI与气候因子的相关性存在明显的空间异质性,且受不同生态系统分区影响。内蒙古高原中部草地生态系统NDVI与降水...     

中国遥感干旱指数时空特征及其对气候和地表覆盖变化的响应

干旱严重影响植被生长,威胁粮食安全,基于遥感计算的植被状态指数（Vegetation Condition Index,VCI）、温度状态指数（Temperature Condition Index,TCI）和植被健康指数（Vegetation Health Index,VHI）是常用的干旱指数,被广泛应用于干旱监测。为了探究近年来我国干旱特征及其对气候和地表覆盖变化的响应,分析了2003-2016年期间VCI、TCI和VHI的时空变化特征;采用最小二乘（OLS）和偏相关分析方法分析了这些指数对气候和地表覆盖变化的响应。基于上述干旱指数计算的干旱频率表明,中温带中部和南温带等地区干旱发生频率高,干旱指数变化趋势表明在2003-2016年期间中国大部分地区干旱缓解,但在中温带、南温带和高原气候区等局部地区干旱加剧;总体而言,干旱指数随着年平均温度的上升和年降水量的降低而减小,VHI与温度和降水量的相关性在不同气候区的一致性优于VCI和TCI;裸土的减少和植被的增加导致干旱指数增大,树木转变为低矮植被干旱指数降低。     

模拟酸雨对南亚热带典型森林土壤N2O排放的影响

基于长期模拟酸雨森林样地,利用箱式法同步测定了不同酸雨强度处理下森林土壤N₂O排放通量,研究了模拟酸雨对我国南亚热带针阔叶混交林和季风常绿阔叶林两种代表性森林土壤N₂O排放的影响。结果表明: 连续5年(2014—2018年)观测周期内,两种林型土壤N₂O排放通量在各模拟酸雨处理下均表现出明显的季节变化特征,湿季排放通量高于干季,并且年际变化较大。受2017—2018年度降水减少的影响,此期间两种林型土壤N₂O排放通量普遍较低。两种林型土壤N₂O排放通量与土壤温度和土壤湿度呈显著正相关。季风常绿阔叶林对照样方土壤N₂O排放通量为12.6 μg N₂O m^-2·h^-1,与对照相比,pH 3.5和pH 3.0条件下土壤N₂O排放通量分别上升42.9%和61.1%,模拟酸雨显著增加了季风常绿阔叶林土壤N₂O排放通量;模拟酸雨同样有促进针阔叶混交林土壤N₂O排放的趋势,但各处理间差异不显著。在酸雨依旧严峻的形势下,我国南亚热带典型森林土壤N₂O排放通量将增加,且不同林型的增幅不同。