Climatic and biological simulations in a two-way coupled atmosphere–biosphere model (CABM)

Today, most land surface process models have prescribed seasonal change of vegetation with regard to the exchange processes between land and the atmosphere. However, in order to consider the real interaction between vegetation and atmosphere and represent it best in a climate model, the vegetation growth process should be included. In other words, “life” should be brought into climate models. In this study, we have coupled the physical and biological components of AVIM (Atmosphere–Vegetation Interaction Model), a land surface model including plant ecophysiological processes, into the IAP/LASG L9 R15 GOALS GCM. To exhibit terrestrial vegetation information, the vegetation is given a high resolution of 1.5° by 1.5° to nest and couple the fine grid cells of land with the coarse grid cells of atmosphere, which is 7.5° longitude and 4.5° latitude. The simulated monthly mean surface air temperature and precipitation is close to the observations. The monthly mean Leaf Area Index (LAI) is consistent with the observed data. The global annual mean net primary production (NPP) simulation is also reasonable. The coupled model is stable, providing a good platform for research on two-way interaction between land and atmosphere, and the global terrestrial ecosystem carbon cycle.     

近55 a新疆净生态系统生产力对气候变化的响应

新疆地处干旱和半干旱气候区,明确其生态系统的碳汇大小及其对气候变化的响应对研究中国干旱区植被碳汇及其对陆地碳平衡的贡献具有重要意义。基于最新地面气象观测数据,利用大气植被相互作用模型AVIM2（Atmosphere-Vegetation Interaction Model 2）,在0.05°×0.05°经纬度空间网格上估算分析了1961-2015年新疆净生态系统生产力（NEP）的时空分布特征及其对气候变化的响应。研究结果表明：近55 a新疆NEP平均值为14.4 gC·m^-2,没有明显变化趋势。空间上看,约40%地区的NEP呈下降趋势,主要分布在天山两麓的城市人口聚集区;而60%地区NEP呈上升走势,其主要分布在新疆昆仑山脉、天山山区和人烟稀少的荒漠地区。新疆NEP对降水量变化更为敏感,气温的变化对NEP的影响并不显著。虽然新疆平均碳汇随着年降水量的变化而在源与汇之间波动,但是从多年平均来看,新疆仍然为碳汇区。     

The soil moisture of China in a high resolution climate-vegetation model

1. Introduction The soil moisture plays an important role in in- fluencing the climate change by altering the surface albedo, soil heat capacity and the heat flux between air and land (Ma et al., 2001). Near-surface soil mois- ture controls the partitioni…     

1971—2000年中国陆地植被净初级生产力的模拟

利用植被与大气相互作用模式(AVIM),基于气象台站的观测资料模拟了1971—2000年中国陆地生态系统NPP的变化特征.结果表明:1971—2000年我国陆地植被年均NPP变化范围在0~987.67 gC·m^-2·a^-1,全国平均值为349.74 gC·m^-2·a^-1,30 a呈现出递增的变化趋势.对各类植被NPP的模拟显示,最近30 a我国热带雨林、落叶阔叶林以及有地被层的阔叶林的年均NPP减小,而混交林、常绿针叶林、落叶针叶林、有裸土的灌丛、草地以及作物的年均NPP均为增加趋势.由于采用了先进的农业技术,与自然条件下我国作物的年均NPP变化相比,我国实际的粮食单产在上述时期呈显著的增长,表明了人类活动对于我国陆地植被净初级生产力有着深刻的影响.     

气候变化对中国中纬度半干旱草原生产力影响机理的模拟研究

应用大气植被相互作用模式(AVIM)模拟了内蒙古半干旱草原的净初级生产力和生物量。在此基础上,通过气温和降水变化的敏感性控制试验探讨了气候变化对草地初级生产力的影响机理。研究表明,无论是降水或温度的变化对草地的生产力都有显著影响。降水增加,生产力增加。而温度增加,生产力下降。气候变化对生产力影响的机理是:降水增加改善了土壤的水分供给条件,增强了光合速率,从而提高了生产力。温度增高,一方面可以增加光合速率,另一方面却使蒸散加强,土壤变干,光合速率下降,而后一作用过程在半干旱地区大于前者,因而温度增高使生产力下降。单一气候因子敏感性试验表明,温度增高或降低2℃,年净初级生产力(NPP)变化约20%,中纬度半干旱草地地上生物量可以改变30%以上。降水量变化50%,年NPP改变37%,地上生物量将改变近30%。     

基于AVIM的中国陆地生态系统净初级生产力模拟

利用AVIM（植被与大气相互作用模式）模拟了现代中国陆地生态系统NPP的分布并计算了全国NPP的碳总量。研究结果表明我国现代陆地生态系统的年NPP变化范围在0~1 389 gC/m2之间,年平均值为355 gC/m2,年吸收3.33 Pg的大气碳。中国陆地植被NPP呈现自东向西逐渐减小的趋势,NPP的最大值出现在云南西双版纳地区,最小值分布于青藏高原以及新疆地区。中国现代陆地植被NPP主要分布于小于100 gC/(m2·a)、300~500 gC/(m2·a)以及500~700 gC/(m2·a)3个区间,其占总计算值的比例都超过了20%以上;大于1 000 gC/(m2·a)的NPP最少,只占总数的2.15%。对中国陆地植被NPP与气候的相关性分析表明,降水是影响我国陆地生态系统NPP的主要原因。     

ENSO年代际变化对全球陆地生态系统碳通量的影响

使用动态植被陆面模式AVIM2,以NCEP (National Centers for Environmental Prediction)再分析气象资料作为大气强迫场,模拟了1953-2004年全球陆地生态系统净初级生产力(NPP)和净生态系统生产力(NEP) 的空间分布及时间变化特征。结果得到,1953-2004年陆地生态系统NPP和NEP全球总量52 a的C平均值分别为65 Pg/a和1.2 Pg/a,NPP呈明显的上升趋势,而NEP的上升趋势不明显。虽然NPP和NEP的年代际增长趋势不同,但是在20世纪70年代中期,NPP和NEP的年代际变化都出现了一个明显的突变,突变点后的增长趋势都没有之前的增长趋势高。这是由于太平洋的年代际振荡(PDO)冷暖位相影响了厄尔尼诺与南方涛动（El Nin~o Southern Oscillation,ENSO)的年代际变化,对NPP和NEP的年代际变化也产生了重要的影响。1976年以前PDO处于冷位相年,增加了ENSO冷位相的强度和频率,使热带地区的气候偏凉爽湿润,从而利于NPP和NEP趋势增长,而1976年以后PDO进入暖位相年,El Nin~o发生频繁,赤道地区多为干热的气候异常,会降低NPP和NEP的增长趋势。     

青藏高原地表能量通量的估计

利用1981—2000年逐日气候、植被和土壤基础资料作为输入,以大气—植被相互作用模式（AVIM2）计算了青藏高原0.1°分辨率的年平均地表能量通量的空间分布和季节变化特征。结果显示,年平均地表净辐射通量由高原西南部的100 W/m2减少到东部的70 W/m2左右。高原东南部的林区潜热通量强而感热通量弱,从高原东南向西、向北潜热通量逐渐减少,而感热通量逐渐增大。夏季这种趋势更加显著。冬季除东南部外,高原上广大地区地表能量通量都较低。     

Use of a land surface model to evaluate the observed soil moisture of grassland at the Tongyu reference site

A land surface model driven by the continuous three-year observed meteorological data with a time interval of 30 minutes at the Tongyu station, a reference site of the Coordinated Enhanced Observing Period （CEOP）, was used to evaluate the observation bias of soil moisture （SM） data and analyze the variation of SM at different time scales. The saline-alkaline soil of the grassland at the Tongyu site makes the measured SM too high, especially in boreal summer of 2003-05. The simulated annual mean SM has the lowest value in 2004 and its three-year variation corresponds to the change of precipitation, whereas the observation shows the increasing trend from 2003 to 2005. Compared to the variation range between -60% and 40% for the anomaly percentage of the simulated daily mean SM during May-October of 2004, the measured data show the higher values more than 40%. The magnitude of the variation trend of the observed daily mean SM in 2003 and 2005 is generally consistent with the simulation. The largest deficiency for the soil moisture observation of the grassland is the overestimated value in the drought year with less precipitation. The simulated monthly mean SM has the lowest value in March due to the large contribution of evaporation relative to precipitation and this phenomenon can not be reproduced in the observation.     

省尺度森林植被碳储量空间分布模拟不确定性分析——以江西省为例（英文）

Forest vegetation carbon patterns are significant for evaluating carbon emission and accumulation. Many methods were used to simulate patterns of forest vegetation carbon stock in previous studies, however, uncertainty apparently existed between results of different methods, even estimates of same method in different studies. Three previous methods, including Atmosphere-vegetation interaction model 2(AVIM2), Kriging, Satellite-data Based Approach(SBA), and a new method, High Accuracy Surface Modeling(HASM), were used to simulate forest vegetation carbon stock patterns in Jiangxi Province in China. Cross-validation was used to evaluate methods. The uncertainty and applicability of the four methods on provincial scale were analyzed and discussed. The results showed that HASM had the highest accuracy, which improved by 50.66%, 33.37% and 28.58%, compared with AVIM2, Kriging and SBA, respectively. Uncertainty of simulation of forest biomass carbon stock was mainly derived from modeling error, sampling error and statistical error of forest area. Total forest carbon stock, carbon density and forest area of Jiangxi were 288.62 Tg, 3.06 kg/m~2 and 94.32×109 m~2 simulated by HASM, respectively.