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1.
Using the Integrated Biosphere Simulator, a dynamic vegetation model, this study initially simulated the net primary productivity(NPP) dynamics of China's potential vegetation in the past 55 years(1961–2015) and in the future 35 years(2016–2050). Then, taking the NPP of the potential vegetation in average climate conditions during 1986–2005 as the basis for evaluation, this study examined whether the potential vegetation adapts to climate change or not. Meanwhile, the degree of inadaptability was evaluated. Finally, the NPP vulnerability of the potential vegetation was evaluated by synthesizing the frequency and degrees of inadaptability to climate change. In the past 55 years, the NPP of desert ecosystems in the south of the Tianshan Mountains and grassland ecosystems in the north of China and in western Tibetan Plateau was prone to the effect of climate change. The NPP of most forest ecosystems was not prone to the influence of climate change. The low NPP vulnerability to climate change of the evergreen broad-leaved and coniferous forests was observed. Furthermore, the NPP of the desert ecosystems in the north of the Tianshan Mountains and grassland ecosystems in the central and eastern Tibetan Plateau also had low vulnerability to climate change. In the next 35 years, the NPP vulnerability to climate change would reduce the forest–steppe in the Songliao Plain, the deciduous broad-leaved forests in the warm temperate zone, and the alpine steppe in the central and western Tibetan Plateau. The NPP vulnerability would significantly increase of the temperate desert in the Junggar Basin and the alpine desert in the Kunlun Mountains. The NPP vulnerability of the subtropical evergreen broad-leaved forests would also increase. The area of the regions with increased vulnerability would account for 27.5% of China.  相似文献   

2.
Changes in regional moisture patterns under the impact of climate change are an important focus for science. Based on the five global climate models(GCMs) participating in the Coupled Model Intercomparison Project Phase 5(CMIP5), this paper projects trends in the area of arid/humid climate regions of China over the next 100 years. It also identifies the regions of arid/humid patterns change and analyzes their temperature sensitivity of responses. Results show that future change will be characterized by a significant contraction in the humid region and an expansion of arid/humid transition zones. In particular, the sub-humid region will expand by 28.69% in the long term(2070–2099) relative to the baseline period(1981–2010). Under 2℃ and 4℃ warming, the area of the arid/humid transition zones is projected to increase from 10.17% to 13.72% of the total of China. The humid region south of the Huaihe River Basin, which is affected mainly by a future increase in evapotranspiration, will retreat southward and change to a sub-humid region. In general, the sensitivity of responses of arid/humid patterns to climate change in China will intensify with accelerating global warming.  相似文献   

3.
中国内陆河流域植被对气候变化的敏感性差异(英文)   总被引：1，自引：0，他引：1  
Terrestrial ecosystem and climate system are closely related to each other. Faced with the unavoidable global climate change, it is important to investigate terrestrial ecosystem responding to climate change. In inland river basin of arid and semi-arid regions in China, sensitivity difference of vegetation responding to climate change from 1998 to 2007 was analyzed in this paper. (1) Differences in the global spatio-temporal distribution of vegetation and climate are obvious. The vegetation change shows a slight degradation in this whole region. Degradation is more obvious in densely vegetated areas. Temperature shows a gen-eral downward trend with a linear trend coefficient of -1.1467. Conversely, precipitation shows an increasing trend with a linear trend coefficient of 0.3896. (2) About the central tendency response, there are similar features in spatial distribution of both NDVI responding to precipitation (NDVI-P) and NDVI responding to AI (NDVI-AI), which are contrary to that of NDVI responding to air temperature (NDVI-T). Typical sensitivity region of NDVI-P and NDVI-AI mainly covers the northern temperate arid steppe and the northern temperate desert steppe. NDVI-T typical sensitivity region mainly covers the northern temperate desert steppe. (3) Regarding the fluctuation amplitude response, NDVI-T is dominated by the lower sensi-tivity, typical regions of the warm temperate shrubby, selui-shrubby, bare extreme dry desert, and northern temperate meadow steppe in the east and temperate semi-shrubby, dwarf ar-boreous desert in the north are high response. (4) Fluctuation amplitude responses between NDVI-P and NDVI-AI present a similar spatial distribution. The typical sensitivity region mainly covers the northern temperate desert steppe. There are various linear change trend re-sponses of NDVI-T, NDVI-P and NDVI-AI. As to the NDVI-T and NDVI-AI, which are influ-enced by the boundary effect of semi-arid and semi-humid climate zones, there is less cor-relation of their linear change tendency along the border. There is stronger correlation in other regions, especially in the NDVI-T in the northern temperate desert steppe and NDVI-AI in the warm temperate shrubby, selui-shrubby, bare, extreme and dry desert.  相似文献   

4.
Explicitly identifying the spatial distribution of ecological transition zones(ETZs) and simulating their response to climate scenarios is of significance in understanding the response and feedback of ecosystems to global climate change. In this study, a quantitative spatial identification method was developed to assess ETZ distribution in terms of the improved Holdridge life zone(iHLZ) model. Based on climate observations collected from 782 weather stations in China in the T0(1981–2010) period, and the Intergovernmental Panel on Climate Change Coupled Model Intercomparison Project(IPCC CMIP5) RCP2.6, RCP4.5, and RCP8.5 climate scenario data in the T1(2011–2040), T2(2041–2070), and T3(2071–2100) periods, the spatial distribution of ETZs and their response to climate scenarios in China were simulated in the four periods of T0, T1, T2, and T3. Additionally, a spatial shift of mean center model was developed to quantitatively calculate the shift direction and distance of each ETZ type during the periods from T0 to T3. The simulated results revealed 41 ETZ types in China, accounting for 18% of the whole land area. Cold temperate grassland/humid forest and warm temperate arid forest(564,238.5 km~2), cold temperate humid forest and warm temperate arid/humid forest(566,549.75 km~2), and north humid/humid forest and cold temperate humid forest(525,750.25 km~2) were the main ETZ types, accounting for 35% of the total ETZ area in China. Between 2010 and 2100, the area of cold temperate desert shrub and warm temperate desert shrub/thorn steppe ETZs were projected to increase at a rate of 4% per decade, which represented an increase of 3604.2, 10063.1, and 17,242 km~2 per decade under the RCP2.6, RCP4.5, and RCP8.5 scenarios, respectively. The cold ETZ was projected to transform to the warm humid ETZ in the future. The average shift distance of the mean center in the north wet forest and cold temperate desert shrub/thorn grassland ETZs was generally larger than that of other ETZs, with the mean center moving to the northeast and the shift distance being more than 150 km during the periods from T0 to T3.In addition, with a gradual increase of temperature and precipitation, the ETZs in northern China displayed a shifting northward trend, while the area of ETZs in southern China decreased gradually, and their mean center moved to high-altitude areas. The effects of climate change on ETZs presented an increasing trend in China, especially in the Qinghai-Tibet Plateau.  相似文献   

5.
Net primary productivity （NPP） is the structure and function of the ecosystem. NPP can most important index that represents the be simulated by dynamic global vegetation models （DGVM）, which are designed to represent vegetation dynamics relative to environ- mental change. This study simulated the NPP of China＇s ecosystems based on the DGVM Integrated Biosphere Simulator （IBIS） with data on climate, soil, and topography. The appli- cability of IBIS in the NPP simulation of China＇s terrestrial ecosystems was verified first. Comparison with other relevant studies indicates that the range and mean value of simula- tions are generally within the limits of observations; the overall pattern and total annual NPP are close to the simulations conducted with other models. The simulations are also close to the NPP estimations based on remote sensing. Validation proved that IBIS can be utilized in the large-scale simulation of NPP in China＇s natural ecosystem. We then simulated NPP with climate change data from 1961 to 2005, when warming was particularly striking. The following are the results of the simulation. （1） Total NPP varied from 3.61 GtC/yr to 4.24 GtC/yr in the past 45 years and exhibited minimal significant linear increase or decrease. （2） Regional differences in the increase or decrease in NPP were large but exhibited an insignificant overall linear trend. NPP declined in most parts of eastern and central China, especially in the Loess Plateau. （3） Similar to the fluctuation law of annual NPP, seasonal NPP also displayed an insignificant increase or decrease; the trend line was within the general level. （4） The re- gional differences in seasonal NPP changes were large. NPP declined in spring, summer, and autumn in the Loess Plateau but increased in most parts of the Tibetan Plateau.  相似文献   

6.
Despite the well-documented effects of global climate change on terrestrial species' ranges,eco-geographical regions as the regional scale of ecosystems have been poorly studied especially in China with diverse climate and ecosystems.Here we analyse the shift of temperature zones in eco-geographical study over China using projected future climate scenario.Projected climate data with high resolution during 1961-2080 were simulated using regional climate model of PRECIS.The number of days with mean daily temperature above 10℃ and the mean temperature of January are usually regarded as the principal criteria to indicate temperature zones,which are sensitive to climate change.Shifts due to future climate change were calculated by comparing the latitude of grid cells for the future borderline of one temperature zone with that for baseline period(1961-1990).Results indicated that the ranges of Tropical,Subtropical,Warm Temperate and Plateau Temperate Zones would be enlarged and the ranges of Cold Temperate,Temperate and Plateau Sub-cold Zones would be reduced.Cold Temperate Zone would probably disappear at late this century.North borderlines of temperature zones would shift northward under projected future climate change,especially in East China.Farthest shifts of the north boundaries of Plateau Temperate,Subtropical and Warm Temperate Zones would be 3.1°,5.3° and 6.6° latitude respectively.Moreover,northward shift would be more notably in northern China as future temperature increased.  相似文献   

7.
Assessing the climate change risk faced by the ecosystems in the arid/humid transition zone(AHTZ) in northern China holds scientific significance to climate change adaptation. We simulated the net primary productivity(NPP) for four representative concentration pathways(RCPs) using an improved Lund-Potsdam-Jena model. Then a method was established based on the NPP to identify the climate change risk level. From the midterm period(2041–2070) to the long-term period(2071–2099), the risks indicated by the negative anomaly and the downward trend of the NPP gradually extended and increased. The higher the scenario emissions, the more serious the risk. In particular, under the RCP8.5 scenario, during 2071–2099, the total risk area would be 81.85%, that of the high-risk area would reach 54.71%. In this high-risk area, the NPP anomaly would reach –96.00±46.95 gC·m~(-2)·a~(-1), and the rate of change of the NPP would reach –3.56±3.40 gC·m~(-2)·a~(-1). The eastern plain of the AHTZ and the eastern grasslands of Inner Mongolia are expected to become the main risk concentration areas. Our results indicated that the management of future climate change risks requires the consideration of the synergistic effects of warming and intensified drying on the ecosystem.  相似文献   

8.
Despite the well-documented effects of global climate change on terrestrial species’ ranges, eco-geographical regions as the regional scale of ecosystems have been poorly studied especially in China with diverse climate and ecosystems. Here we analyse the shift of temperature zones in eco-geographical study over China using projected future climate scenario. Projected climate data with high resolution during 1961–2080 were simulated using regional climate model of PRECIS. The number of days with mean daily temperature above 10℃ and the mean temperature of January are usually regarded as the principal criteria to indicate temperature zones, which are sensitive to climate change. Shifts due to future climate change were calculated by comparing the latitude of grid cells for the future borderline of one temperature zone with that for baseline period (1961–1990). Results indicated that the ranges of Tropical, Subtropical, Warm Temperate and Plateau Temperate Zones would be enlarged and the ranges of Cold Temperate, Temperate and Plateau Sub-cold Zones would be reduced. Cold Temperate Zone would probably disappear at late this century. North borderlines of temperature zones would shift northward under projected future climate change, especially in East China. Farthest shifts of the north boundaries of Plateau Temperate, Subtropical and Warm Temperate Zones would be 3.1°, 5.3° and 6.6° latitude respectively. Moreover, northward shift would be more notably in northern China as future temperature increased.  相似文献   

9.
Land cover change affects surface radiation budget and energy balance by chang- ing surface albedo and further impacts the regional and global climate. In this article, high spatial and temporal resolution satellite products were used to analyze the driving mechanism for surface albedo change caused by land cover change during 1990-2010. In addition, the annual-scale radiative forcing caused by surface albedo changes in China＇s 50 ecological regions were calculated to reveal the biophysical mechanisms of land cover change affecting climate change at regional scale. Our results showed that the national land cover changes were mainly caused by land reclamation, grassland desertification and urbanization in past 20 years, which were almost induced by anthropogenic activities. Grassland and forest area decreased by 0.60% and 0.11%, respectively. The area of urban and farmland increased by 0.60% and 0.19%, respectively. The mean radiative forcing caused by land cover changes during 1990-2010 was 0.062 W/m2 in China, indicating a warming climate effect. However, spatial heterogeneity of radiative forcing was huge among different ecological regions. Farmland conversing to urban construction land, the main type of land cover change for the urban and suburban agricultural ecological region in Beijing-Tianjin-Tangshan region, caused an albedo reduction by 0.00456 and a maximum positive radiative forcing of 0.863 WIm2, which was presented as warming climate effects. Grassland and forest conversing to farmland, the main type of land cover change for the temperate humid agricultural and wetland ecological region in Sanjiang Plain, caused an albedo increase by 0.00152 and a maximum negative radiative forcing of 0.184 W/m2, implying cooling climate effects.  相似文献   

10.
Previous research on climatic change in the Mid-Holocene in China indicates that it was a warm and humid period, accompanied by stronger summer monsoons, and it is defined as the Megathermal in the Holocene, or the Holocene Optimum period. However, this conclusion is mainly directed at the monsoonal region in eastern China. In this research, we chose the Gonghe Basin in the northeastern Qinghai-Tibetan Plateau as the study area. Geochemical analysis of the profiles of paleosols and aeolian sand in the Santala area in the middle of the Gonghe Basin, along with OSL (optically stimulated luminescence) dating, indicates that the regional climate has experienced several warm-humid and cold-dry cycles since 11.8 ka. In particular, the Mid-Holocene (8.1–4.6 ka) was relatively cold and dry as evidenced by drastic fluctuations in chemical weathering degree and humidity, a higher aridity index, and sparse vegetation, accompanying increased winter monsoonal strength. In order to clarify whether this is an individual or local signal, we compared our geochemical analysis results with lake and peat records and aeolian deposits of the monsoonal boundary region. The results indicate that the climate deteriorated widely, with declines in temperature and moisture, in the Mid-Holocene in the modern monsoonal boundary zone. Furthermore, the duration of climate deterioration (relatively dry period) generally decreased from west to east in the aforementioned regions. Therefore, this dry phase in Gonghe Basin may be representative of dry events in Mid-Holocene in northern China. In addition, we discuss the reasons for this dry climate from several perspectives: (1) it probably can be attributed to a decline in summer monsoonal strength; (2) the regional evaporation loss (forced by high temperature) was not compensated by regional precipitation; (3) the thermal dynamic effect of the Qinghai-Tibetan Plateau.  相似文献   

11.
Assessment of vulnerability for natural ecosystem to climate change is a hot topic in climate change and ecology,and will support adapting and mitigating climate change. In this study,LPJ model modified according to features of China's natural ecosystems was employed to simulate ecosystem dynamics under A2,B2 and A1B scenarios. Vulnerability of natural ecosystem to climate change was assessed according to the vulnerability assessment model. Based on eco-geographical regions,vulnerability of natural ecosystem to climate change was analyzed. Results suggest that vulnerability for China's natural ecosystems would strengthen in the east and weaken in the west,but the pattern of ecosystem vulnerability would not be altered by climate change,which rises from southeast to northeast gradually. Increase in ecosystem vulnerable degree would mainly concentrate in temperate humid/sub-humid region and warm temperate humid/sub-humid region. Decrease in ecosystem vulnerable degree may emerge in northwestern arid region and Qinghai-Tibet Plateau region. In the near-term scale,natural ecosystem in China would be slightly affected by climate change. However,in mid-term and long-term scales,there would be severely adverse effect,particularly in the east with better water and thermal condition.  相似文献   

12.
Assessment of vulnerability for natural ecosystem to climate change is a hot topic in climate change and ecology, and will support adapting and mitigating climate change. In this study, LPJ model modified according to features of China's natural ecosystems was employed to simulate ecosystem dynamics under A2, B2 and A1B scenarios. Vulnerability of natural ecosystem to climate change was assessed according to the vulnerability assessment model. Based on eco-geographical regions, vulnerability of natural ecosystem to climate change was analyzed. Results suggest that vulnerability for China's natural ecosystems would strengthen in the east and weaken in the west, but the pattern of ecosystem vulnerability would not be altered by climate change, which rises from southeast to northeast gradually. Increase in ecosystem vulnerable degree would mainly concentrate in temperate humid/sub-humid region and warm temperate humid/sub-humid region. Decrease in ecosystem vulnerable degree may emerge in northwestern arid region and Qinghai-Tibet Plateau region. In the near-term scale, natural ecosystem in China would be slightly affected by climate change. However, in mid-term and long-term scales, there would be severely adverse effect, particularly in the east with better water and thermal condition.  相似文献   

13.
气候变化情景下中国自然生态系统脆弱性研究   总被引：5，自引：2，他引：3  
赵东升  吴绍洪 《地理学报》2013,68(5):602-610
本研究以动态植被模型LPJ 为主要工具,以区域气候模式工具PRECIS 产生的A2、B2和A1B情景气候数据为输入,模拟了未来气候变化下中国自然生态系统的变化状况,应用脆弱性评价模型,评估中国自然生态系统响应未来气候变化的脆弱性。结果表明:未来气候变化情景下中国东部地区脆弱程度呈上升趋势,西部地区呈下降趋势,但总体上,中国自然生态系统的脆弱性格局没有大的变化,仍呈现西高东低、北高南低的特点。受气候变化影响严重的地区是东北和华北地区,而青藏高原区南部和西北干旱区受气候变化影响,脆弱程度明显减轻。气候变化情景下的近期气候变化对我国生态系统的影响不大,但中、远期气候变化对生态系统的负面影响较大,特别是在自然条件相对较好的东部地区,脆弱区面积增加较多。  相似文献   

14.
中国自然生态系统对气候变化的脆弱性评估   总被引：29，自引：8，他引：21  
生态系统的脆弱性已经成为气候变化影响评估和适应性管理的关键问题。本文介绍和分析了生态系统的脆弱性、敏感性和阈值的概念,中国生态环境的敏感带和脆弱性,脆弱性评估和中国生态系统脆弱分布以及自然生态系统的可持续性和适应减缓对策。自然生态系统对气候变化脆弱性评估仍存在许多问题和不确定性,迫切需要在以下领域开展研究:自主开发新一代气候变化对生态系统影响综合评估模型(特别是双向耦合模型)、加强相关野外长期观测实验、开展适应性与可持续发展示范工程的研究等。  相似文献   

15.
Using the Integrated Biosphere Simulator, a dynamic vegetation model, this study initially simulated the net primary productivity (NPP) dynamics of China’s potential vegetation in the past 55 years (1961–2015) and in the future 35 years (2016–2050). Then, taking the NPP of the potential vegetation in average climate conditions during 1986–2005 as the basis for evaluation, this study examined whether the potential vegetation adapts to climate change or not. Meanwhile, the degree of inadaptability was evaluated. Finally, the NPP vulnerability of the potential vegetation was evaluated by synthesizing the frequency and degrees of inadaptability to climate change. In the past 55 years, the NPP of desert ecosystems in the south of the Tianshan Mountains and grassland ecosystems in the north of China and in western Tibetan Plateau was prone to the effect of climate change. The NPP of most forest ecosystems was not prone to the influence of climate change. The low NPP vulnerability to climate change of the evergreen broad-leaved and coniferous forests was observed. Furthermore, the NPP of the desert ecosystems in the north of the Tianshan Mountains and grassland ecosystems in the central and eastern Tibetan Plateau also had low vulnerability to climate change. In the next 35 years, the NPP vulnerability to climate change would reduce the forest–steppe in the Songliao Plain, the deciduous broad-leaved forests in the warm temperate zone, and the alpine steppe in the central and western Tibetan Plateau. The NPP vulnerability would significantly increase of the temperate desert in the Junggar Basin and the alpine desert in the Kunlun Mountains. The NPP vulnerability of the subtropical evergreen broad-leaved forests would also increase. The area of the regions with increased vulnerability would account for 27.5% of China.  相似文献   

16.
中国干湿格局对未来高排放情景下气候变化响应的敏感性   总被引：4，自引：0，他引：4  
气候变化影响下干湿状况的区域分异格局如何变化是一个重要科学问题。基于参与耦合模式比较计划第五阶段（CMIP5）的5个全球气候模式（GCM）,预估了RCP 8.5情景下未来百年中国干湿区面积的变化趋势,分析了干湿格局变化的敏感地区以及对气候变化响应的敏感性。结果表明：未来干湿格局变化以湿润区显著减少、干湿过渡区显著扩张为主要特征,特别是半湿润区面积在远期（2070-2099年）相对基准期（1981-2010年）增加了28.69%。升温2 ℃~4 ℃条件下,全国发生干湿类型转变的面积从10.17%增加至13.72%,尤其在淮河流域南部,这里主要受未来潜在蒸散增加的影响,湿润区向南明显退缩从而转变为半湿润区。总体上,随着未来升温加剧,中国干湿格局对气候变化响应的敏感性将可能增强。  相似文献   

17.
1951-2010 年中国主要气候区划界线的移动   总被引：10，自引：2，他引：8  
根据采用同一区划方法、指标体系划分的1951-1980 年及1981-2010 年中国气候区划结果,对比分析了过去60 年中国气候区划的主要界线变化特征。结果表明：1951-1980 年至1981-2010 年,我国寒温带界线西缩、北移;暖温带北界东段北移,其中最大北移幅度超过1个纬度;北亚热带北界东段平均北移1 个纬度以上,并越过淮河一线;中亚热带北界中段从江汉平原南沿移至了江汉平原北部,最大移动幅度达2 个纬度;南亚热带北界西段北移0.5~2 个纬度;青藏高原亚寒带范围缩小,高原温带范围增加。东北湿润、半湿润区虽转干与趋湿并存,但其中温带地区的湿润-半湿润东界东移,大兴安岭中部与南部的半湿润-半干旱界线北扩;其他地区的干湿分界线虽未出现明显移动,但北方半干旱及华北半湿润区总体转干,河西走廊、新疆及青藏高原的干旱、半干旱区总体转湿;而南方湿润区则趋干与转湿并存。  相似文献   

18.
全球气候变化背景下生态系统的脆弱性评价   总被引：25，自引：4，他引：21  
未来100年气候变暖速度将比上一世纪提高2－10倍,势必对生态系统的格局、过程和服务功能产生巨大影响,威胁生态系统和社会经济的持续发展。因此评价全球气候变化背景下生态系统脆弱性是当前全球变化和生态系统研究的主要内容。由于气候变化以及生态系统对其响应和适应的复杂性,生态系统脆弱性评价进展缓慢。本文在阐明生态系统脆弱性概念的基础上,综述了近年来国内外关于气候变化对生态系统影响及其脆弱性评价研究的现状、方法,归纳和介绍了脆弱性评价研究的三种主要方法——模型模拟研究、指标评价研究以及类比研究,指出气候变化的脆弱性评价研究中存在的问题、不足以及今后的发展方向。  相似文献   

19.
东北地区植被分布全球气候变化区域响应   总被引：26，自引：8，他引：18  
根据东北地区生态气候环境和生物地理规律对Holdridge生命地带分类系统进行修正,将东北地区植被分为寒温带湿润森林、寒温带潮湿森林、温带湿润森林、暖温带湿润森林、温带半湿润森林草甸草原、温带半湿润草甸草原、温带半干旱典型草原、暖温带半湿润草甸草原和暖温带半干旱典型草原等9 个生命地带并分析了其空间分布特征。运用大气环流模式分析东北地区由于温室气体增加导致的气候变化趋势。以此为基础评价东北地区植被分布的区域响应。全球气候变暖情景下,东北地区暖温带和温带范围明显扩大,而寒温带范围缩小甚至退出东北地区,植被分布界限显著北移;同时湿润区面积减少半湿润区和半干旱区扩大,导致森林面积缩小草原面积扩大。  相似文献   

20.
过去50年气候变化下中国潜在植被NPP的脆弱性评价   总被引：4，自引：1，他引：3  
借助动态植被模型IBIS,首先模拟了过去50年（1961-2010年）气候变化下中国潜在植被NPP的动态变化,然后采用IPCC第五次评估报告选定的标准气候态时段（1986-2005年）平均气候状态作为“标准年气候”,并将该气候条件下的潜在植被NPP作为评价基准。通过与基准进行比较,计算每一年潜在植被NPP的波动情况,进而评价该年的气候条件是否使潜在植被“不适应”以及“不适应”的程度,最后根据过去50年的“不适应”次数和程度综合判断气候变化下潜在植被NPP的脆弱性。评价结果显示：在过去50年的气候变化下,天山以南的暖温带荒漠生态系统、北方温带草原生态系统以及青藏高原西部的高寒草原生态系统更容易受到气候变化的不利影响,NPP呈现出较高的脆弱性;而大部分以森林为主的生态系统则不容易受到气候变化的影响,NPP脆弱性较低,其中以常绿阔叶林和针叶林为主的生态系统NPP脆弱性更低。此外,天山以北的温带荒漠生态系统以及青藏高原中部和东部的高寒草原草甸生态系统NPP也呈现出较低的脆弱性。  相似文献   

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