CO2 flux dynamics and its limiting factors in the alpine shrub-meadow and steppe-meadow on the Qinghai-Xizang Plateau北大核心CSCD

Aims Alpine shrub-meadows and steppe-meadows are the two dominant vegetation types on the Qinghai-Xizang Plateau, and plays an important role in regional carbon cycling. However, little is known about the temporal- spatial patterns and drivers of CO2 fluxes in these two ecosystem types. Methods Based on five years of consecutive eddy covariance measurements (2004-2008) in an eastern alpine shrub-meadow at Haibei and a hinterland alpine steppe-meadow at Damxung, we investigated the seasonal and annual variation of net ecosystem productivity (NEP) and its components, i.e. gross primary productivity (GPP) and ecosystem respiration (Re). Important findings The CO2 fluxes (NEP, GPP and Re) were larger in the shrub-meadow than in the steppe-meadow during the study period. The shrub-meadow functioned as a carbon sink through the five years, with the mean annual NEP of 70 g C·m-2·a-1. However, the steppe-meadow acted as a carbon neutral, with mean annual NEP of -5 g C·m-2·a-1. The CO2 fluxes of steppe-meadow exhibited large variability due to the inter-Annual and seasonal variations in precipitation, ranging from a carbon sink (54 g C·m-2·a-1) in 2008 to a carbon source (-88 g C·m-2·a-1) in 2006. The differences in carbon budget between the two alpine ecosystems were firstly attributed to the discrepancy of normalized difference vegetation index (NDVI) because NDVI was the direct factor regulating the seasonal and inter-Annual NEP. Secondly, the shrub-meadow had higher carbon use efficiency (CUE), which was substantially determined by annual precipitation (PPT) and NDVI. Our results also indicated that the environmental drivers of CO2 fluxes were also different between these two alpine ecosystems. The structure equation model analyses showed that air temperature (Ta) determined the seasonal variations of CO2 fluxes in the shrub-meadow, with NEP and GPP being positively correlated with Ta. By contrast, the seasonal CO22 fluxes in the steppe-meadow were primarily co-regulated by soil water content (SWC) and Ta, and increased with the increase of SWC and Ta. In addition, the changes of Re during the growing season in two ecosystems were directly affected by GPP and soil temperature at 5 cm depth (Ts), while Re during non-growing season were determined by Ts. These results demonstrate that the synergy of soil water and temperature played crucial roles in determining NEP and GPP of the two alpine meadows on the Qinghai-Xizang Plateau. © 2018 Editorial Office of Chinese Journal of Plant Ecology. All rights reserved.     

Carbon balance along the Northeast China Transect (NECT-IGBP)

The Northeast China Transect (NECT) along a precipitation gradient was used to cal-culate the carbon balance of different vegetation types, land-use practices and temporal scales. NECT consists of mixed coniferous-broadleaved forest ecosystems, meadow steppe ecosystemsand typical steppe ecosystems. Analyses of the C budget were carried out with field measurement based on dark enclosed chamber techniques and alkali absorption methods, and the application of the CENTURY model. Results indicated that: (1) soil CO_2 flux had a strong diurnal and seasonal variation influenced by grassland type and land-use practices. However, the seasonal variation on soil CO_2 fluxes did not show obvious changes between non-grazing and grazing Leymus chinensis dominated grasslands. (2) Hourly soil CO_2 fluxes mainly depended on temperature, while dailyCO_2 fluxes were affected both by temperature and moisture. (3) NPP of the three typical ecosys-tems showed linear relationships with inter-annual precipitation, but total soil carbon of those eco-systems did not. NPP and total soil carbon values decreased westward with decreasing precipita-tion. (4) Model simulation of NPP and total soil carbon showed that mean annual precipitation was the major limiting factor for ecosystem productivity along NECT. (5) Mean annual carbon budget is the largest for the mixed coniferous- broadleaved forest ecosystem (503.2 gC m~(-2)a~(-1)), followed bythe meadow steppe ecosystem (227.1 gC m~(-2)a~(-1)), and the lowest being the typical steppe eco-system (175.8 gC m~(-2)a~(-1)). This study shows that concurrent field measurements of terrestrial ecosystems including the soil and plant systems with surface layer measurements along the wa-ter-driven IGBP-NECT are valuable in understanding the mechanisms driving the carbon cycle in different vegetation types under different land-use practices. Future transect research should be emphasized.     

吉林省西部草地NPP时空特征与影响因素

利用2000--2006年MOD17A3数据集的年均NPP数据,通过GIS技术定量分析了吉林省西部草地NPP的时空变化特征及其自然和人文影响因素.结果表明:过去7年吉林省西部草地NPP平均值为232.14 g C·m~(-2)·a~(-1),NPP在200～300 g C·m~(-2)·a~(-1)的草地面积占草地总面积的59.47%;77.60%的草地NPP呈增加趋势,NPP增加极显著的草地面积占草地总面积的15.00%;水分条件是吉林省西部草地生长的主要控制因素;居民地对吉林省西部草地NPP的影响远大于道路,尤其在2 km以内.

Abstract：

By using the annual net primary productivity (NPP) data from 2000-2006 MOD17A3 dataset and the GIS technique, the spatiotemporal characteristics of grassland NPP in western Ji-lin Province were studied, with the related affecting factors analyzed. During the past seven years, the mean grassland NPP in this province was 232. 14 g C·m~(-2)·a~(-1), and the grassland area with a NPP of 200-300 g C·m~(-2)·a~(-1) accounted for 59. 47% of the total. 77.60% of the grassland had an increasing NPP, and the grassland area with a remarkable increase of NPP accounted for 15.00% of the total. Water condition was the main controlling factor for grass growth, and residential points had far more effects than roads, especially within 2 km from grass-land, on the NPP.     

作物群体CO2通量和水分利用效率的快速测定

In this paper, Eddy Correlation (EC) method was employed to measure the latent heat and CO2 flux density and to calculate Water Use Efficiency (WISE) of winter wheat community in Yucheng district, Shandong Province in 1997. The results showed that the CO2 flux density had an obvious diurnal change, with a maximum aboutl. 5 mg·s^-1·m^-2, which appeared at about 9 : 00-10 : 00 am in general. The WUE of wheat community presented a fall trend from morning to afternoon, and the CO2 flux density and WUE also had an obvious seasonal change, being lower in the early and late growth stages, and higher in the middle growth stage. The ranges of daily mean CO2 flux density and WUE were 0.2 - 0.9 mg·s^-1·m^-2 and 5 - 20 gCO2·kg^-1 1H2O, respectively.     

Temporal patterns of land-use change and carbon storage in China and tropical Asia

Evaluating the annual sources and sinks of carbon from land-use change helps con-strain other terms in the global carbon cycle and may help countries choose how to comply with commitments for reduced emissions. This paper presents the results of recent analyses ofland-use change in China and tropical Asia. The original forest areas are estimated to have cov-ered 546×10~6 ha in tropical Asia and 425×10~6 ha in China. By 1850, 44% of China's forests had been cleared, and another 27% was lost between 1850 and 1980, leaving China with 13% forestcover (29% of the initial forest area). Tropical Asia is estimated to have lost 26% of its initial forestcover before 1850 and another 33% after 1850. The annual emissions of carbon from the two regions re-flect the different histories over the last 150 years, with China's emissions peaking in thelate 1950s (at 0.2-0.5 Pg C·a~(-1)) and tropical Asia's emissions peaking in 1990s (at 1.0 Pg C·a~(-1)). Despite the fact that most deforestation has been for new agricultural land, the majority ofthe lands cleared from forests in China are no longer croplands, but fallow or degraded shrublands.Unlike croplands, the origins of these other lands are poorly documented, and thus add consider-able uncertainty to estimates of flux before the 1980s. Nevertheless, carbon emissions from China seem to have decreased since the 1960s to nearly zero at present. In contrast, emissions of car-bon from tropical Asia were higher in the 1990s than that at any time in the past.     

陕北黄土高原植被净初级生产力的估算

基于MODIS和地面气象数据,利用改进的CASA模型,模拟分析了2005年陕北黄土高原地区的植被净初级生产力(NPP)及其时空分布.结果表明:1)根据生态生理过程模型针对不同土地覆被类型选择不同的月平均最大光能利用率,比传统CASA模型中使用固定的全球月平均最大光能利用率进行NPP估算,更符合陕北黄土高原地区的实际情况;在估算植被参数时引入植被覆盖分类,以及利用陕北黄土高原2005年时序NDVI进行土地覆被分类的同时,结合1:100万中国植被图和实地调查情况对分类结果进行修正,可提高分类的精度,从而提高模型估算的精度.2)通过不同模型之间和与陕北部分地区实际调查数据进行比较,显示改进后的CASA模型对区域陆地植被NPP的模拟效果较好,可应用于陕北黄土高原乃至周边地区NPP的计算中.3)2005年陕北黄土高原植被净第一性生产量估计值为4.76×10~(13) g C,约占全国总NPP的1.5%,植被平均NPP为447.3 g C·m~(-2)·a~(-1),高于1992-2000年全国陆地NPP平均值323.8 g C·m~(-2)·a~(-1).4)在NPP的空间分布上,总体趋势是由东南向西北递减,其中最高值出现在东南部的黄龙山次生林区(1087g C·m~(-2)·a~(-1));西北部的荒漠植被覆盖度极低,平均NPP仅为205.0 g C·m~(-2)·a~(-1).5)陕北黄土高原NPP的季节变化明显,其中4月中旬至10月中旬6个月生长季时间里的NPP可占到全年的91.5%,而7月中旬至8月中旬间该区的净初级生产力达到年内的极大值,可占全年的37.8%.

Abstract：

Based on the data from MODIS (Moderate-resolution Imaging Speetroradiometer) and meteorological observatories, and by using improved CASA (Carnegie-Ames-Stanford Approach) model, the vegetation net primary productivity (NPP) and its spatiotemporal distribution on the North Shaanxi Loess Plateau in 2005 were simulated and analyzed. Comparing with the traditional CASA model which only uses a universal mean annual maximum light use efficiency (LUE), the estimated regional NPP by the improved CASA model was more precise, because this improved model used the LUE parameters of different vegetation covers. The detailed land cover classifica-tion also contributed to the increase of the precision via introducing the time-series Normalized Different Vegetation Index (NDVI) and ground survey data to modify and adjust the original clas-sification system based on vegetation map (1: 1000000). The testing of the simulation results from different models with the ground survey data in North Shaanxi showed that the estimation by the modified CASA model was much closer to the real survey data, implying the potential practi-cal significance of this model in estimating the vegetation NPP in North Shaanxi Loess Plateau and its adjacent areas. In 2005, the NPP in North Shaanxi was estimated as 4. 76×1013 g C, ac-counting for about 1.5% of China' s terrestrial total NPP, and the mean NPP was 447.3 g C·m~(-2)·a~(-1), being much higher than that of China' s terrestrial vegetation (323.8 g C·m~(-2)·a~(-1)) in 1982-2000. The spatial distribution pattern of the vegetation NPP showed an apparently declining trend from the southeast to the northwest, with the highest value of 1087 g C·m~(-2)a~(-1) occurred in the broadleaved-and conifer-mixed forests of Huanglong Mountain in southeast part of the region. The mean NPP of desert vegetation in the whole region was the lowest, only about 205.0 g C·m~(-2) ·a~(-1). An obvious seasonal variation of the NPP was observed. The NPP in growth season (from April to October) took about 91.5% of the total in the year, and the peak occurred in mid-July to mid-August, amounting to 37.8% of the total.     

辽东栎林净初级生产力对气候变化情景响应的模拟与分析

An ecosystem process model, BIOME-BGC, was used to explore the sensitivity of net primary productivity (NPP) of an oak (Quercus liaotungensis Koidz) forest ecosystem in Beijing area to global climate changes caused by increasing atmospheric CO₂ concentrations. Firstly we tested the model, and validated the modeled outputs using observational data; the outputs of BIOME-BGC model were consistent with observed soil water content and annual NPP. Secondly the potential impacts of climate change on the oak forest ecosystem were predicted with BIOME-BGC model. We found that the simulated NPP was much more sensitive to a 20% precipitation increase or a doubling of atmospheric CO₂ from 355 to 710 祄ol/mol than to a 2 ℃ temperature increase. Our results also indicated that the effects of elevated CO₂ and climate change on the response of NPP were not interactive.     

Seasonal Variation of δ13C of Four Tree Species: A Biological Integrator of Environmental Variables

Foliar δ13C values, an indicator of long-term intercellular carbon dioxide concentration and, thus,of long-term water use efficiency (WUE) in plants, were measured for Pinus massoniana Lamb., P. elliottii Engelm., Cunninghamia laceolata (Lamb.) Hook., and Schima superba Gardn. et Champ. in a restored forest ecosystem in the Jiazhu River Basin. Seasonal variation and the relationship between the foliar δ13Cvalues of the four species and environmental factors (monthly total precipitation, monthly average air temperature, relative humidity, atmospheric pressure, and monthly total solar radiation and evaporation)were investigated. The monthly δ13C values and WUE of the four species increased with increasing precipitation, air temperature, solar radiation, and evaporation, whereas δ13C values of the four species decreased with increasing relative humidity and atmospheric pressure. Despite significant differences in δ13C seasonal means for the four species, our results demonstrate a significant convergence in the responses of δ13C values and WUE to seasonal variations in environmental factors among the species investigated and that the δ13C signature for each species gives a strong indication of environmental variables.     

Modeling the interannual variation and response to climate change scenarios in gross and net primary productivity of Pinus elliottii forest in subtropical China

In this study, the BIOME-BGC model, a biogeochemical model, was used and validated to estimate GPP (Gross Primary Productivity) and NPP (Net Primary Productivity) of Pinus elliottii forest in red soil hilly region and their responses to inter-annual climate variability during the period of 1993–2004 and climate change scenarios in the future. Results showed that the average total GPP and NPP were 1941 g C m^?2a^?1 and 695 g C m^?2a^?1, and GPP and NPP showed an increasing trend during the study period. The precipitation was the key factor controlling the GPP and NPP variation. Scenario analysis showed that doubled CO₂ concentration would not benefit for GPP and NPP with less than 1.5% decrease. When CO₂ concentration fixed, GPP responded positively to precipitation change only, and temperature increase by 1.5°C with precipitation increase, while NPP responded positively to precipitation change only. When CO₂ concentration was doubled and climate was changed, GPP and NPP responded positively to precipitation change, and GPP also responded positively to temperature increase by 1.5°C with precipitation change.     

甘肃白龙汀流域肉疣衣科地衣研究

1 INTRODUCTION Bailong River valley is situated in the south of Gansu Province and northeast of Qinghai-Tibet Plateau at longitudes of 101°40'-105°20' E and latitudes of 32°21'-35°50' N.The mean annual precipitation is 448.9-911.6ram and the mean annual temperature 4.7℃-12.7℃.The drainage area has an elevation from 550m to 4920m.The complex habitats give rise to a variety of forest communities and varied patterns of ecosystems.     

气候变化与太湖蓝藻暴发的关系

对太湖区域40多年来气温、降水量、日照时数随时间变化的特征进行了分析,并对太湖蓝藻的爆发时间、次数、等级进行了统计,采用对比分析法对气候变化与太湖蓝藻暴发的关系进行了分析。结果表明:太湖区域1961—2007年总的气候倾向率,年平均气温为0.35℃.10a-1,年累计降水量为31.33mm.10a-1,年累计日照时数为-69.00h.10a-1;而突变点,气温在1989年,降水量在1979年,日照时数在1999年,在突变点年份后,气温升高、降水量增加和日照时数减少的趋势更加明显。2000—2007年气候变得异常,主要表现为气温上升速度加快,约为1961—2007年的3.7倍,5月和10月的这种气候倾向性更明显;降水量减少,比1961—2007年减少了178.10mm.10a-1,日照时数增加,比1961—2007年增加了244.23h.10a-1。气候变暖速度加快为太湖蓝藻的生长发育提供了热量条件;降水量减少,加速了太湖水质恶化,为蓝藻暴发提供了有利的水质环境条件;日照时数增多,充足的光照为蓝藻生长发育提供了优良的光合条件;温度偏高、降水量偏少、日照时数偏多的气候变化趋势对应太湖蓝藻暴发的次数也偏多,造成了太...     

气候变化背景下我国东北三省农业气候资源变化特征

基于1961-2007年中国东北三省72个气象台站的气象资料,分析了东北三省全年及温度生长期内的平均气温、≥10 ℃积温、降水量、日照时数和参考作物蒸散量等农业气候资源的变化特征.结果表明：研究期间,东北三省年均气温总体呈升高趋势,其气候倾向率为0.38 ℃·10 a^-1;温度生长期内≥10 ℃积温同样呈上升趋势,且积温带逐渐北移东扩,全区高于3200 ℃·d积温带面积增加了2.2×10⁴ km²,2800～3200 ℃·d积温带北移0.85°、东移0.67°,2400～2800 ℃·d积温带北移1.1°;东北三省年日照时数显著下降,且以松嫩平原东部、吉林省中西部平原、辽河平原西部的减少尤为明显,全区年日照时数高于2800 h的区域面积由13.6×10⁴ km²缩小到4.1×10⁴ km²,2600～2800 h的区域向西推进了1.5°;全区温度生长期内日照时数平均为1174 h,与1961-1980年相比,1981-2007年温度生长期内的日照时数高值区明显减少,日照时数1200～1400 h的区域向西推进了0.9°;1961-2007年间,研究区年降水量及温度生长期内降水量均呈下降趋势;黑龙江省全年参考作物蒸散量整体呈增加趋势,吉林省中西部平原区有所减小、东部山区呈增加趋势,辽宁省均呈减小趋势,与1961-1980年的年均值相比,1981-2007年年参考作物蒸散量高于900 mm区域向西推移了约1°;黑龙江省和吉林省绝大部分区域温度生长期内参考作物蒸散量逐年增加,而辽宁省绝大部分区域以小于14 mm·10 a^-1的幅度在减少.     

长白山高山苔原季节性雪斑土壤呼吸对温度响应的模拟研究

利用LI-8100土壤呼吸测定系统, 在室内控制温度条件下测定了长白山高山苔原季节性雪斑大白花地榆(Sanguisorba sitchensis (=S. stipulata))群落土壤呼吸对温度的响应过程, 并根据野外连续测定的全年温度, 估算了雪斑群落土壤呼吸的季节变化, 同时模拟气温升高对土壤呼吸的影响。雪斑土壤温度全年大部分时间维持在0 ℃以上, 极端温度变动幅度不超过20 ℃。模拟计算了10 cm深土壤的呼吸强度, 海拔2 036 m处为307.1 g C·m^-2·a^-1, 海拔2 260 m处的呼吸量为270.9 g C·m^-2·a^-1。由于积雪时间长, 冬季呼吸占很大比例, 而且随着海拔的升高比例加大。从海拔2 036 m到2 260 m, 积雪期土壤呼吸分别占全年的42.5% (125.4 g C·m^-2·a^-1)和49.7% (128.7 g C·m^-2·a^-1)。模拟气温升高1 ℃并假设积雪时间减少20天, 冬天的呼吸量减少8%左右, 但全年总呼吸量增加8%左右。升温后, 平均增加的呼吸量为0.25 g C·kg^-1·a^-1 (或22.65 g C·m^-2·a^-1), 冬季呼吸量减少0.118 g C·kg^-1·season^-1 (或10.81 g C·m^-2·season^-1)。     

长白山生态功能区气候变化特征

为探究长白山生态功能区气候变化特征,本研究利用区域内及周边36个气象站数据与CN05.1格点数据集,采用线性倾向估计法、Mann-Kendall突变检验、累积距平法、Morlet小波分析等方法研究1961—2016年长白山生态功能区内温度(平均气温、四季气温、极端气温)、水分(年降水量、四季降水量、降水日数、相对湿度)、光照(日照时数与日照百分率)和风速因子的时空变化规律.结果表明: 1961—2016年,长白山生态功能区气温升高、日照减少、风速减弱、降水量周期振荡变化.其中,冬季气温[0.45 ℃·(10 a)^-1]与最低温度[0.74 ℃·(10 a)^-1]大幅上升.年平均风速显著降低[-0.21 m·s^-1·(10 a)^-1]但并未发生气候突变.年降水日数大幅降低[-7.01 d·(10 a)^-1],使其与东北地区气候变化特点有所不同.虽然功能区内年降水量倾向率为16.06 mm·(10 a)^-1,但不能以简单的趋势增加或减少来描述降水量变化特征,功能区内降水量变化以26年长周期叠加3年的短周期为主.研究结果对区域生态评估、生态系统响应气候变化、物候变化等研究具有指示意义.     

1956-1998年间中纬度近海与内陆城市年气温与热岛效应的变化趋势

选取纬度相近、发展规模类似的近海（济南）与内陆（西安）城市为研究对象,对比分析了1956—1998年间济南和西安气温与热岛效应的变化趋势.结果表明：1956—1978年间,除济南年均最低气温以0.37 ℃·10 a^-1的速率上升外,2个城市的气温指标均无明显变化趋势;1979—1998年间,2个城市则表现出显著的增温趋势,其中西安年均最高气温和年均气温的增加速率大于济南,济南年均最低气温的增加速率大于西安.1956—1978年间,2个城市均存在城市热岛效应但无显著增加趋势,1979—1998年间的热岛效应明显强化,以西安在年均气温（0.22 ℃·10 a^-1）和年均最低气温（0.32 ℃·10 a^-1）上表现的热岛效应的增加趋势更为明显.济南热岛效应强度和年际波动均大于西安,但其增加速率却小于西安.济南年均最高气温、年均气温和年均最低气温的增温速率和热岛效应强度明显不同,西安则较接近.3个气温指标中以年均最低气温的增加趋势最明显,同时对热岛效应的响应最显著,年均最高气温的波动性最大.地理位置不但影响城市增温的幅度,而且也深刻影响着城市增温的形式与热岛效应强度.     

1954—2005年中国北方针叶林分布区的气候变化特征

基于中国北方针叶林(兴安落叶松林)分布区8个气象观测站的气象资料,分析了1954—2005年气温和降水的变化特征.结果表明：研究期间,中国北方针叶林分布区的气温以0.38 ℃·(10 a)^-1的速度上升,远大于全球近50年来0.13 ℃·(10 a)^-1的平均增温速率.尽管夏、秋季的气温呈上升趋势,但不显著;而冬、春季的增温显著(P<0.01);最高年平均气温(0.37 ℃·(10 a)^-1)与最低年平均气温(0.54 ℃·(10 a)^-1)均呈极显著的增加趋势(P<0.01).降水量年际间波动较大,但没有明显的变化趋势;各季节降水量也没有明显的变化规律,其中春、秋、冬季的降水日数有增加趋势,但没有达到显著水平,而夏季的降水日数呈显著减少趋势(P<0.05);各季降水强度均呈增加趋势,其中夏季(P<0.05)和冬季(P<0.01)的变化达到了显著水平.     

气候变化对中国农作物虫害发生的影响

基于1961—2010年全国农区527个气象站点气象资料、全国病虫害资料以及农作物种植面积等资料,对全国虫害发生面积与气象因子采用相关分析法,分析了气象要素变化对虫害发生的影响。结果表明:气候变化背景下,年平均温度、平均降水强度分别以0.27℃.10a-1、0.24mm.(d.10a)-1的速度增长,年日照时数以47.40h.10a-1的速度减小;年降水量增长速率为0.14mm.10a-1,但波动较大;虫害发生面积率距平与平均温度、平均降水强度距平呈显著正相关,平均温度、平均降水强度分别每增加1℃、1mm.d-1,虫害发生面积率增加0.648、0.713,虫害发生面积将增加0.96、1.06亿hm2次;虫害发生面积率距平与年日照时数距平呈显著负相关,其每降低100h,虫害发生面积率增加0.40,虫害发生面积将增加0.59亿hm2次;总体上,虫害发生面积率距平与年降水量距平的关系不明显。虫害发生面积率距平与年平均小雨量、微雨量雨日数、小雨量雨日数距平呈显著负相关,3个因子分别每减少1mm、1d、1d,虫害发生面积率增加0.014、0.066、0.052,发生面积将增加0.02、0.10、0.08亿hm2次。     

气候变化对中国农作物病害发生的影响

基于全国农区527个气象站点1961—2010年逐日气象资料、逐年农作物病害发生面积以及产量资料,从气温、降水、日照等角度,采用相关分析方法,研究了气候变化背景下各气象要素变化对中国农作物病害发生的影响。结果表明:近50年来,气候变化导致的各气象因子变化总体有利于病害发生,年平均温度以0.27℃·10a-1的速率升高,其每升高1℃,可导致病害发生面积增加6094.4万hm2次;年平均降雨强度以0.24mm·d-1·10a-1的速度增加,其每增加1mm·d-1,可导致病害发生面积增加6540.4万hm2次;年平均日照时数以47.4h·10a-1的速率减少,其每减少100h,可导致病害发生面积增加3418.8万hm2次;在气候变化导致的光、温、水变化中,温度增加对病害发生面积增加的影响最为显著,其次为日照时数减少、第三为平均降雨强度增大,其标准化回归系数依次为0.508、-0.374、0.112。     

藏北牧区地表湿润状况对气候变化的响应

利用1961～2006年藏北牧区6个站月平均最高气温、最低气温、降水量、风速、相对湿度、日照时数资料,应用Penman-Monteith模型计算得出潜在蒸散,分析了地表湿润指数的变化趋势、年代际变化特征及季节差异,并讨论了影响地表湿润指数的气象因子.研究表明:近46a藏北牧区年地表湿润指数呈现增大趋势,增幅0.01～0.05/10a;四季地表湿润指数大部分牧区也呈增大趋势,春、秋季增幅明显.近26a(1981～2006年)、季潜在蒸散表现为明显的减少趋势,降水量显现增多趋势,地表湿润指数增大趋势加大,以夏季最为突出.就年平均而言,藏北牧区20世纪60年代初、中期以高湿低温为其主要气候特征;20世纪60年代后期至80年代中期,表现为冷干型的气候特征;90年代初之后,气温持续升高,地表湿润指数显著增加,呈现以暖湿为主的年代际变化特征.湿润指数对降水量、相对湿度和气温日较差的响应最为敏感,而对日照时数和风速的响应也较为明显.     

晋南地区冬小麦生育期气候变化特征及其对产量的影响

明确气候变化特征及其对小麦生产的影响,有助于为农业适应气候变化方案的制定提供理论依据.本研究分析了晋南小麦主产区临汾、运城市1957-2015年降水量、气温、日照时长、潜在蒸散量、干燥度等变化及其对冬小麦生育期及产量的影响.结果 表明:1957-2015年,临汾、运城市全年降水量和冬小麦生育期日照时长均呈下降趋势,冬小...