中国植被净生产力的比较研究

利用3个光能利用率模式(CASA,GLOPEM和GEOLUE)和2个生态过程机理模式(CEVSA和GEOPRO)以不同空间分辨率和不同输入参数对中国植被净生产力(NetPrimaryProduction,NPP)进行时空模拟,对5个模式模拟的中国的NPP进行了时间序列和空间格局的对比分析所得结论如下:CASA,GLOPEM及CEVSA3个模式对中国NPP的月、季和年的时空模拟符合中国植被季节变化规律和季风气候下的中国植被的空间变化规律,近20a来中国NPP变化趋势以增长为主;5个模式模拟的中国平均NPP季节的值为春季约为(0.571±0.2)GtC左右,夏季约为(1.573±0.4)GtC左右,秋季约为(0.6±0.2)GtC左右,冬季约为(0.12±0.1)GtC左右;中国植被净生产力年值约为(2.864±1)GtC/a;5个模式较好地模拟了中国不同类型生态群落的生物量的季节特征和空间格局状况.研究为中国利用造林、再造林、森林和农田管理等人为活动引起的碳增汇用于抵消中国承诺的温室气体减排指标的计算及碳收支平衡的研究提供参考,为植被净生产力总量的国家本底的确定提供了依据.

基于遥感-过程耦合模型的1988～2004年青海三江源区净初级生产力模拟

三江源区不仅是地处青藏高原的全球气候变化的敏感区,也是我国甚至亚洲最重要河流的上游关键源区。作为提供物质基础的植被净初级生产力(Netprimaryproduction,NPP),是评价生态系统状况的重要指标。该文应用已在碳通量观测塔验证,扩展到区域水平的遥感-过程耦合模型GLOPEM-CEVSA,以空间插值的气象数据和1km分辨率的AVHRR遥感反演的FPAR数据为模型主要输入,模拟并分析了1988～2004年该区NPP时空格局及其控制机制。结果表明,该区植被平均NPP为143.17gC·m–2·a–1,呈自东南向西北逐渐降低的空间格局,其中,以森林NPP最高(267.90gC·m–2·a–1),其次为农田(222.94gC·m–2·a–1)、草地(160.90gC·m–2·a–1)和湿地(161.36gC·m–2·a–1),荒漠最低(36.13gC·m–2·a–1)。其年际变化趋势在空间上呈现出明显的差异,西部地区NPP表现为增加趋势,每10a增加7.8～28.8gC·m–2;而中、东部表现为降低趋势,每10a降低13.1～42.8gC·m–2。根据显著性检验,NPP呈增加趋势(趋势斜率b>0),显著性水平高于99%和95%的区域占研究区总面积的13.43%和20.34%,主要分布在西部地区;NPP呈降低趋势(趋势斜率b<0),显著性水平高于99%和95%的区域占研究区面积的0.75%和3.77%,主要分布在中、东部地区,尤以该区长江和黄河等沿线区分布更为集中,变化显著性也更高。三江源NPP的年际变化趋势的气候驱动力分析表明,整个区域水平上该地区植被生产力受气候变化的主导,西部地区暖湿化趋势,造成了该地区生产力较为明显的、大范围的增加趋势;但东、中部地区则主要受人类活动的影响,特别是长江、黄河等河流沿线,是人类居住活动密集的地区,造成这些地区放牧压力较大、草地退化严重,而该地区暖干化趋势加剧了这一过程。

土地利用和气候变化对农牧过渡区生态系统生产力和碳循环的影响

气候和土地利用变化对陆地生态系统碳循环的影响是当前全球变化研究中的中心问题之一.近20a来中国的气候和土地利用发生了很大的变化,对陆地生态系统生产力和碳循环产生重要影响,尤其是在生态敏感的农牧过渡区.应用以遥感观测为基础的土地利用数据和高时空分辨率的气候数据驱动生态系统过程模型,估计土地利用和气候变化对农牧过渡区NPP(净初级生产力)、植被碳贮量、土壤呼吸和碳贮量以及NEP(净生态系统生产力)的影响.结果显示,20世纪80-90年代,农牧交错带由于气候变暖和降水减少导致NPP减少3.4％,土壤呼吸增加4.3％,每年NEP总量减少33.7×109kg.尽管植被和土壤碳贮量由于NPP仍然高于HR(土壤异氧呼吸)而有所增加,但NEP的下降表明气候变化削弱了生态系统的碳吸收能力,降低了碳贮量的增长速率.土地利用变化使所发生区域NPP增加3.8％,植被碳增加2.4％,每年NEP总量增加0.59×109kg.土地利用变化使生态系统碳吸收能力有所加强,但尚不足扭转由气候变化导致的下降趋势.土地利用变化对整个区域生产力和碳循环的影响比较小,但在它所发生地区的影响大于气候变化的影响.

长白山自然保护区生态系统碳平衡研究

运用已建立的EPPML生物地球化学循环模型,对1995年长白山自然保护区生态系统的碳平衡状况进行了模拟.模拟结果表明,该保护区植被的年净初级生产力[NPP(碳量)]为1332×106t·a-1,以阔叶红松林和云冷杉林最高,分别为0540×106t·a-1和0428×106t·a-1.这2种林型是长白山面积最大、生产力最高的林型,其生产力的模拟结果对整个保护区的碳循环和碳平衡影响最大,前者的准确性决定了后者的可靠性.总的来说,模拟值不仅在整个保护区不同植被带和气候带的相对比较中是符合常规的,而且在与相当分散

基于景观尺度过程模型的长白山净初级生产力空间分布影响因素分析

对长白山自然保护区的净初级生产力(NPP)的空间分布格局进行了模拟,对它们与环境因子和植被因子间的相互关系进行了分析.结果表明,1995年NPP的模拟值平均为0.680kgC·m-2·年-1,变幅为0.105～1.241kgC·m-2·年-1(82.1%),其中阔叶红松林的NPP最高(1.084kgC·m-2·年-1).环境条件决定了长白山植被年NPP空间分布的大趋势.土壤含水量对NPP的限制最大,呈负相关关系(R=-0.65),长白山植物生长一般不存在水分不足的问题.植被的NPP与LAI高度正相关(R=

基于遥感和地面数据的景观尺度生态系统生产力的模拟

描述了一个反映系统碳循环和水循环的景观尺度生态系统生产力过程模型(EPPML).该模型以遥感图像作为数据源,从中获取影响植被生产力的重要变量———叶面积指数(LAI);主要对景观尺度生态系统的净初级生产力(NPP)和蒸散量的空间分布格局和时间动态进行模拟;用地理信息系统(GIS)手段对空间数据进行处理、分析和显示,从而实现将植物生理生态研究的结果从小尺度向中尺度进行拓展和转换.本研究用EPPML对1995年长白山自然保护区的植被生产力进行了模拟,结果表明,EPPML可以比较准确地模拟该保护区主要植被的NP

基于3S的自然植被光能利用率的时空分布特征的模拟

光能利用率(LUE)直接影响植被各层中的能量分布和光合速率,在确定环境对光合和地上部生长分配的综合限制上十分有价值,是衡量系统功能的一个重要指标。本研究以遥感图像(TM)作为数据源,获取了影响植被LUE的重要变量———叶面积指数(LAI);用程序语言编写了描述系统碳循环和水循环的景观尺度生态系统生产力过程模型(EPPML),对长白山自然保护区的太阳总辐射、净初级生产力(NPP)和LUE等的季节动态和空间分布进行了模拟;并用地理信息系统(GIS)手段对空间数据进行处理、分析和显示,从而实现了将植物生理生态研

Assessing the consequence of land use change on agricultural productivity in China

China's cultivated land has been undergoing dramatic changes along with its rapidly growing economy and population. The impacts of land use transformation on food production at the national scale, however, have been poorly understood due to the lack of detailed spatially explicit agricultural productivity information on cropland change and crop productivity. This study evaluates the effect of the cropland transformation on agricultural productivity by combining the land use data of China for the period of 1990-2000 from TM images and a satellite-based NPP (net primary production) model driven with NOAH/AVHRR data. The cropland area of China has a net increase of 2.79 Mha in the study period, which causes a slightly increased agricultural productivity (6.96 Mt C) at the national level. Although the newly cultivated lands compensated for the loss from urban expansion, but the contribution to production is insignificant because of the low productivity. The decrease in crop production resulting from urban expansion is about twice of that from abandonment of arable lands to forests and grasslands. The productivity of arable lands occupied by urban expansion was 80% higher than that of the newly cultivated lands in the regions with unfavorable natural conditions. Significance of cropland transformation impacts is spatially diverse with the differences in land use change intensity and land productivity across China. The increase in arable land area and yet decline in land quality may reduce the production potential and sustainability of China's agro-ecosystems. (C) 2008 Elsevier B.V. All rights reserved.

Simulation study of China's net primary production

Spatial and temporal distribution of vegetation net primary production (NPP) in China was studied using three light-use efficiency models (CASA, GLOPEM and GEOLUE) and two mechanistic ecological process models (CEVSA, GEOPRO). Based on spatial and temporal analysis (e.g. monthly, seasonally and annually) of simulated results from ecological process mechanism models of CASA, GLOPEM and CEVSA, the following conclusions could be made: (1) during the last 20 years, NPP change in China followed closely the seasonal change of climate affected by monsoon with an overall trend of increasing; (2) simulated average seasonal NPP was: 0.571 +/- 0.2 GtC in spring, 1.573 +/- 0.4 GtC in summer, 0.6 +/- 0.2 GtC in autumn, and 0.12 +/- 0.1 GtC in winter. Average annual NPP in China was 2.864 +/- 1 GtC. All the five models were able to simulate seasonal and spatial features of biomass for different ecological types in China. This paper provides a baseline for China's total biomass production. It also offers a means of estimating the NPP change due to afforestation, reforestation, conservation and other human activities and could aid people in using for-mentioned carbon sinks to fulfill China's commitment of reducing greenhouse gases.

Study of remote sensing based parameter uncertainty in Production Efficiency Models

The remote sensing based Production Efficiency Models (PEMs), springs from the concept of "Light Use Efficiency" and has been applied more and more in estimating terrestrial Net Primary Productivity (NPP) regionally and globally. However, global NPP estimates vary greatly among different models in different data sources and handling methods. Because direct observation or measurement of NPP is unavailable at global scale, the precision and reliability of the models cannot be guaranteed. Though, there are ways to improve the accuracy of the models from input parameters. In this study, five remote sensing based PEMs have been compared: CASA, GLO-PEM, TURC, SDBM and VPM. We divided input parameters into three categories, and analyzed the uncertainty of (1) vegetation distribution, (2) fraction of photosynthetically active radiation absorbed by the canopy (fPAR) and (3) light use efficiency (e). Ground measurements of Hulunbeier typical grassland and meteorology measurements were introduced for accuracy evaluation. Results show that a real-time, more accurate vegetation distribution could significantly affect the accuracy of the models, since it's applied directly or indirectly in all models and affects other parameters simultaneously. Higher spatial and spectral resolution remote sensing data may reduce uncertainty of fPAR up to 51.3%, which is essential to improve model accuracy.

青海气候变化趋势及对植被生产力影响的研究

应用青海省南部三江源区、东北祁连山地及环青海湖区气象站1961-2004年气温、降水和所在地区植被地上净初级生产力资料,分析和模拟了44年来有关气候变化特征以及植被生产力与气温、降水、地理坐标参数间的关系,模拟估算了假设未来气候温暖化情景下青海植被生产力变化的可能.结果表明:44年来青海各地气温均在升高,青海北部比南部增温明显;年降水量变化平稳,但北部比南部有所增加;土壤实际蒸发散表现出明显的升高趋势;青海南部植被地上净初级生产力(NPP)逐年降低,青海东北地区相对平稳.模拟计算表明,由于青藏高原植被的生长主要受温度条件的限制,在未来气候增暖,降水不变或增加的趋势下,植被地上NPP均有所增加.

Monitoring and simulation of water, heat,and CO2 fluxes in terrestrial ecosystems based on the APEIS-FLUX system

The Integrated Environmental Monitoring (IEM) project, part of the Asia-Pacific Environmental Innovation Strategy (APEIS) project, developed an integrated environmental monitoring system that can be used to detect, monitor, and assess environmental disasters, degradation, and their impacts in the Asia-Pacific region. The system primarily employs data from the moderate resolution imaging spectrometer (MODIS) sensor on the Earth Observation System- (EOS-) Terra/Aqua satellite,as well as those from ground observations at five sites in different ecological systems in China. From the preliminary data analysis on both annual and daily variations of water, heat and CO2 fluxes, we can confirm that this system basically has been working well. The results show that both latent flux and CO2 flux are much greater in the crop field than those in the grassland and the saline desert, whereas the sensible heat flux shows the opposite trend. Different data products from MODIS have very different correspondence, e.g. MODIS-derived land surface temperature has a close correlation with measured ones, but LAI and NPP are quite different from ground measurements, which suggests that the algorithms used to process MODIS data need to be revised by using the local dataset. We are now using the APEIS-FLUX data to develop an integrated model, which can simulate the regional water,heat, and carbon fluxes. Finally, we are expected to use this model to develop more precise high-order MODIS products in Asia-Pacific region.

Net primary productivity and spatial distribution of vegetation in an alpine wetland, Qinghai-Tibetan Plateau

To initially describe vegetation structure and spatial variation in plant biomass in a typical alpine wetland of the Qinghai-Tibetan Plateau, net primary productivity and vegetation in relationship to environmental factors were investigated. In 2002, the wetland remained flooded to an average water depth of 25 cm during the growing season, from July to mid-September. We mapped the floodline and vegetation distribution using GPS (global positioning system). Coverage of vegetation in the wetland was 100%, and the vegetation was zonally distributed along a water depth gradient, with three emergent plant zones (Hippuris vulgaris-dominated zone, Scirpus distigmaticus-dominated zone, and Carex allivescers-dominated zone) and one submerged plant zone (Potamogeton pectinatus-dominated zone). Both aboveground and belowground biomass varied temporally within and among the vegetation zones. Further, net primary productivity (NPP) as estimated by peak biomass also differed among the vegetation zones; aboveground NPP was highest in the Carex-dominated zone with shallowest water and lowest in the Potamogeton zone with deepest water. The area occupied by each zone was 73.5% for P. pectinatus, 2.6% for H. vulgaris, 20.5% for S. distigmaticus, and 3.4% for C. allivescers. Morphological features in relationship to gas-transport efficiency of the aerial part differed among the emergent plants. Of the three emergent plants, H. vulgaris, which dominated in the deeper water, showed greater morphological adaptability to deep water than the other two emergent plants.

西藏高原草原化嵩草草甸生态系统呼吸及碳平衡

The soil respiration and net ecosystem productivity of Kobresia littledalei meadow ecosystem was investigated at Dangxiong grassland station, one grassland field station of Lhasa Plateau Ecosystem Research Station. Soil respiration and soil heterotrophic respiration were measured at the same time by using Li6400-09 chamber in growing season of year 2004. The response of soil respiration and its components, i.e. microbial heterotrophic respiration and root respiration to biotic and abiotic factors were addressed. We studied the daily and seasonal variation on Net Ecosystem carbon Exchange (NEE) measured by eddy covariance equipments and then the regression models between the NEE and the soil temperature. Based on the researches, we analyzed the seasonal variation in grass biomass and estimated NEE combined the Net Ecosystem Productivity with heterogeneous respiration and then assessed the whether the area is carbon source or carbon sink. 1.Above-ground biomass was accumulated since the grass growth started from May; On early September the biomass reached maximum and then decreased. The aboveground net primary production (ANPP) was 150.88 g m~" in 2004. The under-ground biomass reached maximum when the aboveground start to die back. Over 80% of the grass root distributed at the soil depth from 0 to 20cm. The underground NPP was 1235.04 g m"2.. Therefore annual NPP wasl.385X103kg ha"1, i.e.6236.6 kg C ha"1. 2. The daily variation of soil respiration showed single peak curve with maximum mostly at noon and minimum 4:00-6:00 am. Daily variations were greater in June, July and August than those in September and October. Soil respiration had strong correlation with soil temperature at 5cm depth while had weaker correlation with soil moisture, air temperature, surface soil temperature, and so on. But since early September the soil respiration had a obviously correlation with soil moisture at 5cm depth. Biomass had a obviously linearity correlation with soil respiration at 30th June, 20th August, and the daytime of 27th September except at 23lh October and at nighttime of 27th September. We established the soil respiration responding to the soil temperature and to estimate the respiration variation during monsoon season (from June through August) and dry season (May, September and October). The regression between soil respiration and 5cm soil temperature were: monsoon season (June through August), Y=0.592expfl()932\ By estimating , the soil daily respiration in monsoon season is 7.798gCO2m"2 and total soil respiration is 717.44 gCC^m" , and the value of Cho is 2.54; dry season (May, September and October), Y=0.34exp°'085\ the soil daily respiration is 3.355gCO2m~2 and total soil respiration is 308.61 gCC^m", and the value of Cho is 2.34. So the total soil respiration in the grown season (From May to October) is 1026.1 g CO2IT1"2. 3. Soil heterogeneous respiration had a strong correlation with soil temperature especially with soil temperature at 5cm depth. The variation range in soil heterogeneous respiration was widely. The regression between soil heterogeneous respiration and 5cm soil temperature is: monsoon season, Y=0.106exp ' 3x; dry season, Y=0.18exp°"0833x.By estimating total soil heterotrophic respiration in monsoon season is 219.6 gCC^m"2, and the value of Cho is 3.78; While total soil heterogeneous respiration in dry season is 286.2 gCCbm"2, and the value of Cho is 2.3. The total soil heterotrophic respiration of the year is 1379.4kg C ha"1. 4. We estimated the root respiration through the balance between soil respiration and the soil heterotrophic respiration. The contribution of root respiration to total respiration was different during different period: re-greening period 48%; growing period 69%; die-back period 48%. 5. The Ecosystem respiration was relatively strong from May to October, and of which the proportion in total was 97.4%.The total respiration of Ecosystem was 369.6 g CO2 m" .we got the model of grass respiration respond to the soil temperature at 5cm depth and then estimated the daytime grass respiration, plus the nighttime NEE and daytime soil respiration. But when we estimated the grass respiration, we found the result was negative, so the estimating value in this way was not close. 6. The estimating of carbon pool or carbon sink. The NPP minus the soil heterogeneous respiration was the NEE, and it was 4857.3kg C o ha"1, which indicated that the area was the carbon sink.

Inter-annual variability of precipitation constrains the production response of boreal Pinus sylvestris to nitrogen fertilization

© 2015 Published by Elsevier B.V.Tree growth resources and the efficiency of resource-use for biomass production determine the productivity of forest ecosystems. In nutrient-limited forests, nitrogen (N)-fertilization increases foliage [N], which may increase photosynthetic rates, leaf area index (L), and thus light interception (IC). The product of such changes is a higher gross primary production and higher net primary production (NPP). However, fertilization may also alter carbohydrate partitioning from below- to aboveground, increasing aboveground NPP (ANPP). We analyzed effects of long-term N-fertilization on NPP, and that of long-term carbon storing organs (NPPS) in a Pinus sylvestris forest on sandy soil, a wide-ranging forest type in the boreal region. We based our analyses on a combination of destructive harvesting, consecutive mensuration, and optical measurements of canopy openness. After eight-year fertilization with a total of 70gNm^-2, ANPP was 27±7% higher in the fertilized (F) relative to the reference (R) stand, but although L increased relative to its pre-fertilization values, IC was not greater than in R. On the seventh year after the treatment initiation, the increase of ANPP was matched by the decrease of belowground NPP (78 vs. 92gCm^-2yr^-1; ~17% of NPP) and, given the similarity of IC, suggests that the main effect of N-fertilization was changed carbon partitioning rather than increased canopy photosynthesis. Annual NPPS increased linearly with growing season temperature (T) in both treatments, with an upward shift of 70.2gCm^-2yr^-1 by fertilization, which also caused greater amount of unexplained variation (r²=0.53 in R, 0.21 in F). Residuals of the NPPS-T relationship of F were related to growing season precipitation (P, r²=0.48), indicating that T constrains productivity at this site regardless of fertility, while P is important in determining productivity where N-limitation is alleviated. We estimated that, in a growing season average T (11.5±1.0°C; 33-year-mean), NPPS response to N-fertilization will be nullified with P 31mm less than the mean (325±85mm), and would double with P 109mm greater than the mean. These results suggest that inter-annual variation in climate, particularly in P, may help explaining the reported large variability in growth responses to fertilization of pine stands on sandy soils. Furthermore, forest management of long-rotation systems, such as those of boreal and northern temperate forests, must consider the efficiency of fertilization in terms of wood production in the context of changes in climate predicted for the region.