欧亚大陆植被生态系统平均中心时空偏移的情景模拟

欧亚大陆复杂多样的植被生态系统在全球气候变化的驱动下,其时空分布格局将发生系列的偏移变化,进而对欧亚大陆"一带一路"沿线国家和地区的生态环境产生重要影响。如何从全球气候变化驱动的角度来实现欧亚大陆植被生态系统时空偏移趋势的模拟分析,已成为"一带一路"沿线国家和地区生态环境研究的热点科学问题之一。在对HLZ生态系统模型进行改进和构建植被生态系统平均中心时空偏移分析模型的基础上,基于欧亚大陆的气候观测数据(1981—2010年)和CMIP5 RCP2.6、RCP4.5和RCP8.5三种情景数据(2011—2100年),实现欧亚大陆植被生态系统平均中心时空偏移趋势的模拟分析。结果表明:欧亚大陆植被生态系统平均中心主要分布在欧亚大陆的中部和南部地区;3种气候情景下,欧亚大陆的亚热带干旱森林、暖温带湿润森林、亚热带有刺疏林、亚热带潮湿森林、冷温带潮湿森林、寒温带湿润森林、冷温带湿润森林、亚热带湿润森林、暖温带干旱森林、亚极地/高山湿润苔原和极地/冰原等植被生态系统的平均中心偏移幅度大于其他植被生态系统类型;欧亚大陆植被生态系统在RCP8.5情景下的植被生态系统平均中心偏移幅度大于其他两种情景;在2011—2100年期间,3种气候变化情景下,欧亚大陆植被生态系统平均中心整体上将呈向北偏移的变化趋势。     

中国Holdridge生命地带平均中心的时空分布及其偏移趋势

在分析目前生态地理模型及其实现方法的基础上 ,提出基于 ARC/ INFO与 VC 综合集成的先插值再运行模型的全新研究方法和技术路线 ,克服了以前模型实现过程中所存在的局限性。利用中国 1 96 2～ 2 0 0 2年 735个站点逐日温度与降水量观测数据 ,通过对 Holdridge生命地带模型和生命地带平均中心模型进行模拟运算后获得中国 Holdridge生命地带类型平均中心时空分布图及 2 0世纪 6 0、70、80与 90年代平均中心偏移趋势图。从生命地带类型平均中心时空分布及其偏移趋势分析研究中发现 ,生命地带类型平均中心的时空分布及其偏移趋势与相关气候因子的变化趋势相对应 ,并能够很好地与我国土地覆被类型实际的空间分布及其变化情况相符 ;各种生命地带类型平均面积的变化规律与相应的气候因子的变化趋势 (尤其是降水量、温度 )存在着一定相关性。另外 ,通过对我国生命地带类型平均面积比例大小进行排序分析发现与我国土地覆被类型的实际情况能够很好吻合     

降水时间对内蒙古温带草原地上净初级生产力的影响

全球气候变化下降水时间的改变将深刻影响草原生态系统地上净初级生产力(ANPP),而草原生态系统ANPP是区域碳循环的重要过程.利用1998-2007年的SPOT-VEG NDVI数据并结合111个样点的ANPP地面样方调查数据,获得了内蒙古温带草原1998-2007年的ANPP区域数据,依此分析了中国内蒙古温带草原以及区域内的3种植被类型(荒漠草原、典型草原、草甸草原)降水时间对ANPP的影响.研究结果表明,对于整个内蒙古温带草原来说,一个水分年内(从上一年9月份到当年地上生物量达最大值时的8月份)影响ANPP较为重要的降水月份为2-7月份,其中,5-7月份降水尤为重要.具体到每个月降水的影响,研究发现,7月份降水最重要,而仍处于生长季的8月份降水相对于其他生长季降水作用最小;影响不同草地类型最重要的降水时期存在一定差异,对荒漠草原和典型草原地区来说,ANPP达最大值前3个月(5-7月份)的生长季降水最重要,而8月份降水影响较小,而草甸草原地区8月份和非生长季的3、4月份降水最重要,但各个降水时期降水对ANPP的影响都较荒漠草原和典型草原小,大部分地区降水对ANPP的影响不显著.     

Assessing biome boundary shifts under climate change scenarios in India

Climate change and its cascading impacts are being increasingly recognized as a major challenge across the globe. Climate is one of the most critical factors affecting biomes and their distribution. The present study assessed shifts in biome types of India using the conceptual framework of Holdridge life zone (HLZ) model, minimum distance classifier and climatic datasets to assess the distribution pattern of potential biomes under climate change scenarios in India. Modelling was conducted on the entire region of India using various combinations; (i) current climate scenario, and, (ii) increased temperature and precipitation scenario. The geographical analysis identifies nineteen (19) HLZs in the Indian sub-continent; seven (7) biomes and nineteen (19) sub-biomes. The overall accuracy and kappa coefficient of the biome map prepared for current climate scenario was 82.73% and 0.75, respectively. With the changes in increasing temperature and precipitation scenario, the modelling results predict significant decrease in the area cover for tropical deserts (plains), tropical desert scrubs (lower montane), tropical moist forests (lower montane) and tropical wet forests (lower montane). Along with these changes, there have been substantial increases in the area cover for tropical dry forests (plains) and tropical very dry forests (plains), especially in central and southern India. The results show shifts from very dry tundra (alvar) to dry tundra (alpine) and moist tundra (alpine) and in some places tropical moist forests (sub-alpine) as well. In central India, decrease in tropical moist forests (lower montane) has been observed, while an increase in the area cover of tropical rain forests (plains) in northeastern India has been observed. It is important to understand the impacts and vulnerabilities of projected climate change on forest ecosystems so that better management and conservation strategies can be adopted for biodiversity and forest dependent communities. The knowledge of impact mechanisms will identify adaptation strategies for some conditions which will help in decreasing the susceptibility to anticipated climate change in the forest sector.     

内蒙古温带草原区植被盖度变化及其与气象因子的关系

利用1982-1999年内蒙古地区NOAA/AVHRR的NDVI数字遥感影像,对内蒙古温带草原区植被盖度进行了反演,探讨了近20a来温带草原植被盖度的变化情况,并对植被盖度与不同组合方式的降水及气温数据进行了相关分析,探讨了植被盖度与气象因子的关系。结果表明:①近20a来温带草原植被盖度呈上升趋势,占总面积72%的草原植被盖度发生了增长,3种不同草原类型中典型草原盖度上升趋势最为明显;②温带草原生长季平均盖度、逐月盖度与降水成正相关关系,与气温呈负相关关系,其中降水对盖度的影响存在着时滞及累积效应;③3种草原类型植被盖度对气象因子的敏感性不同,荒漠草原植被盖度与气温和降水相关性最强,其次为典型草原与草甸草原。     

内蒙古高原温带稀树草原生态系统特征与成因

内蒙古高原分布的温带榆树稀树草原生态系统在中国乃至世界上都是一种特殊的生态系统,对于它的研究可加深对植被分布规律的理解,且有利于该系统的保护。本文分析了该生态系统的地理分布、气候特点、土壤状况、物种组成、群落结构及天然更新状况等,比较了草原、森林和稀树草原3个生态系统的特征,提出了在内蒙古高原分布的温带榆树稀树草原生态系统是在独特的气候、土壤和地形条件下形成的经度(水分梯度)地带性顶极植被,决定其存在的最关键因素首先是降水量和土壤的水分条件,其次才是沙质土壤。这种生态系统既不是草原,又不是森林,而是介于落叶阔叶林和草原之间的一种生态系统类型。在此纬度带上,从东到西分布的经度地带性植被谱应为:温带森林、温带稀树草原、典型草原、荒漠草原等。在同一纬度带上,沙质土壤的基质并不完全被稀树草原生态系统所覆盖,还有沙漠等生态系统类型。建议《中国植被》增加一个新的植被类型,温带稀树草原。     

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.     

短花针茅荒漠草原土壤微生物群落组成及结构

为详细了解内蒙古短花针茅荒漠草原生态系统中土壤微生物群落组成与结构。对其土壤中微生物的总DNA提取后,采用高通量测序技术对土壤中细菌的16Sr DNA和真菌的ITS基因进行了序列测定,分析了短花针茅荒漠草原土壤中微生物群落结构特征。结果表明,共获得细菌OTUs13711个,真菌OTUs 5929个。物种分类显示,细菌种类隶属于29门57纲111目191科485属,其中优势类群为Gammaproteobacteria和Thermoleophilia,它们的相对丰度分别为32.68%和26.83%。真菌隶属于4门16纲45目78科105属,优势类群为Ascomycota和Basidiomycota,它们的相对丰度分别为35.76%和25.90%。土壤中细菌群落的多样性和丰富度均高于真菌。     

水、氮控制对短花针茅草原土壤呼吸的影响

在自然条件下,采用自动CO2通量系统(Li-8100,Li-COR,Lincoln,NE,USA)野外测定短花针茅(Stipa breviflora)草原土壤呼吸速率,并通过回归方程分析不同水分梯度和氮素添加与土壤呼吸速率间的关系。结果表明:(1)短花针茅草原整个生长季,增雨显著提高土壤呼吸速率(P0.05),土壤呼吸速率峰值出现在温度适中,土壤含水量最大的时期(8月初)。(2)从整个生长季来看,相同降雨量下,氮素添加对土壤呼吸速率增加有抑制作用,但在降雨较少的时(5月末到6月中旬,0月份),氮素添加对土壤呼吸速率有较少的促进作用。(3)土壤含水量和土壤呼吸速率的函数模型中一元二次函数模型明显优于线性、指数等模型。一元二次模型能更好地说明土壤呼吸速率的实际变化。     

青藏高原植被生态系统垂直分布变化的情景模拟

如何模拟和揭示青藏高原植被生态系统垂直分布在全球气候变化驱动下的时空变化情景,对定量解析青藏高原陆地生态系统对气候变化响应效应具有重要意义。该论文基于Holdridge life zone （HLZ）模型,结合数字高程模型（DEM）数据,改变模型输入参数模式,发展了改进型HLZ生态系统模型。结合1981-2010（T0）时段的气候观测数据和IPCC CMIP5 RCP2.6、RCP4.5、RCP8.5三种情景2011-2040（T1）、2041-2070（T2）、2071-2100（T3）三个时段气候情景数据,实现了青藏高原植被生态系统垂直分布的时空变化情景模拟。引入生态系统平均中心时空偏移趋势模型和生态多样性指数模型,定量揭示了青藏高原植被生态系统在不同垂直带上的时空变化情景。结果显示：青藏高原共有16种植被生态系统类型;冰雪/冰原、高山潮湿苔原和亚高山湿润森林为青藏高原主要的植被生态系统类型,其面积之和占到了青藏高原总面积的56.26%;高山干苔原、亚高山潮湿森林、山地灌丛、山地湿润森林和荒漠等对气候变化的敏感性总体上高于其它类型;在T0-T3期间,青藏高原的高山湿润苔原、高山干苔原、荒漠呈持续减少趋势,平均每10年将分别减少1.96×10⁴km²、0.15×10⁴km²和1.58×10⁴km²;亚高山潮湿森林、山地湿润森林和山地灌丛呈持续增加趋势,平均每10年将分别增加3.42×10⁴km²、2.98×10⁴km²和1.19×10⁴km²;RCP8.5情景下青藏高原的植被生态系统平均中心的偏移幅度最大,RCP4.5情景下的偏移幅度次之,而RCP2.6情景下的偏移幅度最小。另外,在三种气候变化情景驱动下,青藏高原植被生态系统的生态多样性呈减少趋势。总之,未来不同情景的气候变化将直接影响青藏高原植被生态系统的时空分布格局及其生态多样性,气候变化强度越高,影响就越大,而且气候变化对青藏高原植被生态系统的影响呈现出从低海拔到高海拔递增的影响效应。     

1961-2010年内蒙古草原植被分布和生产力变化——基于MaxEnt模型和综合模型的模拟分析

定量评估气候变化对内蒙古草原植被分布及其净第一性生产力的影响有助于理解干旱区域生态系统结构和功能对气候变化的响应。基于最大熵模型（MaxEnt）评价了气候因子的重要性,进而模拟了1961-2010年内蒙古草原植被的地理分布,同时应用综合模型模拟了净第一性生产力变化。研究表明,湿润指数（MI）、年降水量（P）、最暖月平均温度（T_w）和最冷月平均温度（T_c）是决定草原植被分布的主导气候因子。1961-2010年内蒙古草甸草原、典型草原和荒漠草原分布面积分别减少了5%、1%和62%,草原面积整体减少了11%,预示着草原向着荒漠化的方向发展。降水是决定内蒙古草原净第一性生产力变化的最重要因素。     

内蒙古荒漠草原防风固沙服务变化及其驱动力

荒漠化是内蒙古荒漠草原面临的最严重的生态环境问题之一,而风蚀则是造成土地退化的主要因素。采用修正风蚀方程（Revised wind erosion equation,RWEQ）定量评估了内蒙古荒漠草原2000和2017年的固沙量,并结合土地利用、降水、风速、植被覆盖度数据分析了该区域防风固沙服务的影响因素。结果表明：内蒙古荒漠草原的防风固沙服务表现出明显的空间异质性,不同土地利用类型提供的防风固沙服务有所差异,其中高覆盖度草地的固沙量相对较高。总体来说,2000年固沙量与降水、风速、植被覆盖度均为正相关,2017年固沙量与降水为负相关,与风速和植被覆盖度为正相关。2000-2017年内蒙古荒漠草原固沙物质总量增幅为53.95%,其中9.65%来源于土地利用变化区域,土地利用方式发生变化的面积占研究区总面积的5.6%。2000-2017年土地利用变化以林地的恢复、建设用地的扩张以及不同覆盖度间草地的转换为主。2000-2017年,风力因子的分布模式对防风固沙服务的空间分布变化的影响较大。总的来说,土地利用变化对内蒙古荒漠草原的防风固沙服务有一定的增强作用,防风固沙服务的空间分布在时间上的变化主要受气候因子的影响。     

Assessing the Spatiotemporal Variation in Distribution,Extent and NPP of Terrestrial Ecosystems in Response to Climate Change from 1911 to 2000

To assess the variation in distribution, extent, and NPP of global natural vegetation in response to climate change in the period 1911–2000 and to provide a feasible method for climate change research in regions where historical data is difficult to obtain. In this research, variations in spatiotemporal distributions of global potential natural vegetation (PNV) from 1911 to 2000 were analyzed with the comprehensive sequential classification system (CSCS) and net primary production (NPP) of different ecosystems was evaluated with the synthetic model to determine the effect of climate change on the terrestrial ecosystems. The results showed that consistently rising global temperature and altered precipitation patterns had exerted strong influence on spatiotemporal distribution and productivities of terrestrial ecosystems, especially in the mid/high latitudes. Ecosystems in temperate zones expanded and desert area decreased as a consequence of climate variations. The vegetation that decreased the most was cold desert (18.79%), while the maximum increase (10.31%) was recorded in savanna. Additionally, the area of tundra and alpine steppe reduced significantly (5.43%) and were forced northward due to significant ascending temperature in the northern hemisphere. The global terrestrial ecosystems productivities increased by 2.09%, most of which was attributed to savanna (6.04%), tropical forest (0.99%), and temperate forest (5.49%). Most NPP losses were found in cold desert (27.33%). NPP increases displayed a latitudinal distribution. The NPP of tropical zones amounted to more than a half of total NPP, with an estimated increase of 1.32%. The increase in northern temperate zone was the second highest with 3.55%. Global NPP showed a significant positive correlation with mean annual precipitation in comparison with mean annual temperature and biological temperature. In general, effects of climate change on terrestrial ecosystems were deep and profound in 1911–2000, especially in the latter half of the period.     

Effects of open-top passive warming chambers on soil respiration in the semi-arid steppe to taiga forest transition zone in Northern Mongolia

The response of soil respiration to warming has been poorly studied in regions at higher latitude with low precipitation. We manipulated air temperature, soil temperature and soil moisture using passive, open-top chambers (OTCs) in three different ecosystem settings in close proximity (boreal forest, riparian area, and semi-arid steppe) to investigate how environmental factors would affect soil respiration in these different ecosystems, anticipating that soil respiration would increase in response to the chamber treatment. The results indicated that OTCs significantly increased air and soil temperature in areas with open canopy and short-statured vegetation (i.e., steppe areas) but not in forest. OTCs also affected soil moisture, but the direction of change depended on the ecosystem, and the magnitude of change was highly variable. Generally, OTCs did not affect soil respiration in steppe and riparian areas. Although soil respiration was slightly greater in OTCs placed in the forest, the difference was not statistically significant. Analyses of relationships between soil respiration and environmental variables suggested that different factors controlled soil respiration in the different ecosystems. Competing effects analysis using a model selection approach and regression analyses (e.g., Q₁₀) demonstrated that soil respiration in the forest was more sensitive to warming, while soil respiration in the steppe was more sensitive to soil moisture. The differing responses and controlling factors among these neighboring forest, riparian and steppe ecosystems in Northern Mongolia highlight the importance of taking into account potential biome shifts in C cycling modeling to generate more accurate predictions of landscape-scale responses to anticipated climate change.     

内蒙古中东部草原区克氏针茅种群遗传分化的RAPD研究

采用 RAPD-PCR技术对内蒙古中东部草原分布的 7个克氏针茅 (Stip a krylovii Roshev.)种群进行了分析。从 10 0个 10碱基随机引物中筛选出 2 1个有效引物 ,共扩增出 2 2 9条稳定的 DNA带 ,其中 171条带具有多态性 ,多态性百分比 (PPB)为74.67%。将每个扩增产物看作一个独立的性状 ,按其有无列出二元数据矩阵 ,计算 Jaccard、简单匹配系数 (SM)和 Dice遗传相似性系数 ,通过 UPGMA法构建分子标记聚类图 ;并通过主成分分析 (PCA)和主轴法分析 (PAF) ,将 7个种群分类 ;统计各个种群特异性 DNA带 ,计算占总扩增条带的百分数。结果表明 :(1)不同地理种群之间扩增结果差异明显 ,具有丰富的遗传多样性 ;(2 )不同地理种群间存在一定程度的分化 ,这种分化是与种群之间的实际距离相联系的 ,相距越远 ,种群相似程度越低 ,进一步分析表明种群的分化是与所处生境逐渐旱化相一致的 ;(3 )聚类图上将 7个种群分为 3类 ,PCA和 PAF分析通过 3个成分或因子也将 7个种群分为 3类 ,支持了聚类图的分类结果 ;(4)特异性位点所占百分比与种群所处生境也有一定的联系 ,它与环境干燥度的相关系数为 0 .76(P<0 .0 5)。     

Climate change risks for net primary production of ecosystems in China

Few studies have investigated ecosystem risk under climate change from the perspective of critical thresholds. We presented a framework to assess the climate change risk on ecosystems based on the definition of critical thresholds. Combined with climate scenario, vegetation, and soil data, the Atmosphere Vegetation Interaction Model version 2 was used to simulate net primary productivity in the period of 1961–2080. The thresholds of dangerous and unacceptable impacts were then defined, and climate change risks on ecosystems in China were assessed. Results showed that risk areas will be closely associated with future climate change and will mainly occur in the southwest and northwest areas, Inner Mongolia, the southern part of the northeast areas, and South China. The risk regions will expand to 343.66 Mha in the long term (2051–2080), accounting for 35.80% of China. The risk levels on all ecosystems (eco-regions) are likely to increase continually. The ecosystems of wooded savanna, temperate grassland, and desert grassland, which typically exhibit strong water stress, will have the maximum risk indices in the future. The Northwest Region is likely to be the most vulnerable because of precipitation restrictions and obvious warming. By contrast, Qinghai–Tibet Region will not be so vulnerable to future climate change.     

A GIS simulation of potential vegetation in China under different climate scenarios at the end of the 21st century

The study of potential vegetation can reveal the impact of climate on changes in vegetation patterns. It is the starting point for studying vegetation-environmental classification and relationships, and it is the key point for studying global change and terrestrial ecosystems. By using the Comprehensive Sequential Classification System (CSCS) and the meteorological data under the four climate change scenarios from the IPCC5 publication, the present paper carries out a GIS simulation study of the spatial distribution of potential vegetation in China at the end of the 21st century. The results indicate that under the four climate scenarios at the end of the 21st century: (1) The potential vegetation in China shows significant horizontal and vertical distribution, which corresponds well to those of natural topographic features. (2) There are 40 classes of potential vegetation in China. Tropical-extrarid tropical desert (VIIA), which has no corresponding condition of growth in China, is commonly lacking, and differences exist among the potential vegetation classes and among the ratios of the classes under different scenarios. (3) From the perspective of categories, temperate forest is the most widely distributed, and savanna is the least widely distributed. Together with the strengthening of the radiation intensity according to RCP2.6 → RCP4.5 → RCP6.0 → RCP8.5, the area covered by cold-dry potential vegetation decreases as the area covered by warm-humid potential vegetation increases. As a result, the areas of tundra and alpine steppe, frigid desert, steppe, and temperate humid grassland tend to decrease, and those of semi-desert, temperate forest, sub-tropical forest, tropical forest, warm desert, and savanna tend to increase. Moreover, the potential vegetation in China at the end of the 21st century would change at different levels and in different directions when compared with that at the end of the 20th century. (4) In the same period, potential vegetation in different regions shows differences in their sensitivity to climate change, and by the end of the 21st century, 30.73% of land in China would be classified as a sensitive region, which highly corresponds to the current ecologically vulnerable zone, and whose potential vegetation easily evolves along with changes of climate scenarios.     

Biomass carbon storage and net primary production in different habitats of Hunshandake Sandland, China

Terrestrial ecosystems are playing important roles in global carbon cycling. However, the information is still limited with regard to the semi-arid sandland or desert area, compared with the thorough studies on forest and grassland. We here estimated the biomass carbon storage, net primary production (NPP) and rain use efficiency (RUE) of Hunshandake Sandland, a semi-arid sandy region in Inner Mongolia covered with vegetation of Siberian elm (Ulmus pumila L.) sparse forest grassland. Five main habitats, i.e. fixed dunes, semi-fixed dunes, shifting dunes, lowland, and wetland, were compared to analyze the patterns of carbon storage and NPP distribution. The average biomass (9.19 Mg C ha^?1) and NPP (4.79 Mg C ha^?1 yr^?1) of the sparse forest grassland were respectively 82% and 54% higher than the mean level of the surrounding temperate grassland. Governed by the same climate, sparse forest grassland ecosystem had RUE almost twice that of surrounding grassland. The ratio of below to aboveground biomass was 3.5: 1 in the sandland, indicating that most of the vegetational carbon was stored in belowground pool. Although trees were functionally critical in maintaining the integrity of sparse forest grassland, they accounted for only 10.6% and 1.2% of the biomass and NPP, respectively. The sparse forest grassland in Hunshandake Sandland should be recognized as a temperate savanna ecosystem which is distinctively different from typical temperate grassland in the same region as evidenced by the higher NPP and vegetation carbon storage. Well designed management and restoration efforts can potentially sustain ecosystem services in both forage production and carbon sequestration.     

Biomass carbon storage and net primary production in different habitats of Hunshandake Sandland, China

Terrestrial ecosystems are playing important roles in global carbon cycling. However, the information is still limited with regard to the semi-arid sandland or desert area, compared with the thorough studies on forest and grassland. We here estimated the biomass carbon storage, net primary production (NPP) and rain use efficiency (RUE) of Hunshandake Sandland, a semi-arid sandy region in Inner Mongolia covered with vegetation of Siberian elm (Ulmus pumila L.) sparse forest grassland. Five main habitats, i.e. fixed dunes, semi-fixed dunes, shifting dunes, lowland, and wetland, were compared to analyze the patterns of carbon storage and NPP distribution. The average biomass (9.19 Mg C ha^?1) and NPP (4.79 Mg C ha^?1 yr^?1) of the sparse forest grassland were respectively 82% and 54% higher than the mean level of the surrounding temperate grassland. Governed by the same climate, sparse forest grassland ecosystem had RUE almost twice that of surrounding grassland. The ratio of below to aboveground biomass was 3.5: 1 in the sandland, indicating that most of the vegetational carbon was stored in belowground pool. Although trees were functionally critical in maintaining the integrity of sparse forest grassland, they accounted for only 10.6% and 1.2% of the biomass and NPP, respectively. The sparse forest grassland in Hunshandake Sandland should be recognized as a temperate savanna ecosystem which is distinctively different from typical temperate grassland in the same region as evidenced by the higher NPP and vegetation carbon storage. Well designed management and restoration efforts can potentially sustain ecosystem services in both forage production and carbon sequestration.     

近10年来蒙古高原植被覆盖变化对气候的响应

基于东亚干旱半干旱地区内蒙古和蒙古国67个气象站的观测资料和SPOTVEGETATION归一化植被指数(NDVI)数据,借助线性趋势、MK趋势性检验、最大化合成法和相关分析等常用数理统计方法,研究了内蒙古和蒙古国地区的植被覆盖变化和气候变化及其响应关系。结果表明:①近49年内蒙古和蒙古国地区年均气温显著上升,降水变化不明显。年均气温在空间上呈现出南高北低的空间分布格局,降水量表现出由西向东递增趋势。②空间分布上,内蒙的植被覆盖状况好于蒙古国。时间变化上,该地区植被覆盖变化分为2个阶段,1998—2001年NDVI呈整体退化趋势,2002—2012年波动上升,其中2009—2012年连续3a上升。空间变化上,内蒙古境内植被退化的区域主要集中在锡林郭勒盟周边地区,蒙古国境内退化的区域分布在中西部地区。③蒙古国境内荒漠和草原植被NDVI与降水呈正相关关系,与气温呈负相关。而对于内蒙古而言荒漠和草原植被的NDVI也与降水呈正相关关系,森林植被与气温呈正相关。就政策层面:内蒙古区域近年来受国家重大生态政策退耕还林、退牧还草的影响,大部分东部和西部植被恢复较快。在今后如果增强两国的文化和政策交流学习,将会对未来的游牧民族文化的保留和发展提供契机。