大气热层结条件对林冠显热的影响

应用欧拉二阶闭合模型研究了大气热层结条件下森林冠层显热通量源汇分布和通量特征.结果表明:白天,冠层上的不稳定层结和冠层下的稳定层结是森林冠层大气层结的一种特有现象;温度廓线的变化表明林冠高度2/3处存在较强的热源;冠层内大气处于弱稳定状态时,热量继续向上输送,呈现出热通量的反梯度输送.显热通量日变化的模拟值与实测值吻合,其R2=0.9035(P0.01).在显热收支方程中添加浮力项,可提高反演模型在实际大气中的模拟精度,从而改善模型对热通量收支的模拟能力.     

大气CO2浓度升高与森林群落结构的可能性变化

大气ＣＯ２浓度升高的所引起的森林生态系统稳定性的变化会导致森林在结构和功能上的变动,概述了大气ＣＯ２浓度升高和陆地森林生态系统可能性变化之间的相互关系的研究情况。由于大气ＣＯ２浓度升高出现了额外多的Ｃ,供应,讨论了以这些额外多的Ｃ经大气－植物－土壤途径的流动走向,来研究大气ＣＯ２浓度的升高,与森林结构的相互作用,探讨了大气ＣＯ２浓度升高对森林植物生长、冠层结构、引发的生物量增量的分配、凋落物质量和     

广东省2004-2016年植被冠层降雨截留模拟及时空变化特征

评价植被冠层降雨截留能力,是生态系统水循环的重要研究内容。以广东省中小流域为例,结合地面监测站点的降雨量数据和MODIS叶面积指数遥感数据,利用植被冠层降雨截留模型,定量模拟和分析了广东省流域尺度2004-2016年的地表植被冠层降雨截留能力及其时空变化特征。结果表明：（1）2004-2012年广东省年均植被冠层降雨截留率持续下降,2016年略有上升,并且随着时间的推移,流域之间的植被冠层降雨截留率差异越来越小。（2）广东省植被冠层降雨截留能力呈现山区东西两翼高,山区中部以及沿海地区低的显著空间差异格局,这种空间格局与植被覆盖LAI主要呈现由珠三角向外围递增的圈层空间格局特征密切相关,而与由南向北逐渐递减的降雨空间格局特征相关性不大。（3）森林覆盖对流域植被冠层降雨截留能力有着一定的影响,其中流域内阔叶林占森林面积的比例对这种影响的程度起着最为关键的作用。     

全球变化背景下大气CO_2浓度升高与森林群落结构和功能的变化

大气 CO2 浓度升高所引起的森林生态系统生态稳定性的变化会导致森林在结构和功能上的变动。概述了全球变化背景下大气 CO2 浓度升高和陆地森林生态系统可能性变化之间的相互关系的研究情况。由于大气 CO2 浓度升高出现了额外多的 C供应 ,讨论了以这些额外多的 C经大气—植物—土壤途径的流动走向来研究大气 CO2 浓度的升高与森林结构和功能的相互作用 ,探讨了大气 CO2 浓度升高对森林植物生长、冠层结构、引发的生物量增量的分配、凋落物质量和根质量的变化造成的土壤生态过程的变化、微生物共生体、有机质周转率以及营养循环的潜在效应 ,这些受影响的生物要素和生态过程会引起群落内植物间对资源原有的竞争关系发生变化 ,对资源竞争的格局发生变化最终将会导致森林结构和功能的改变。还提出了一个假设性的概念性框架 ,描述大气 CO2 升高引起的森林结构和功能变化的内在机理。     

中国区域植被叶面积指数时空分布——机理模型模拟与遥感反演比较

叶面积指数是表征植被冠层特征的重要参数,同时也是决定生态系统净初级生产力的重要因子,它对全球变化和生态系统碳循环研究具有重要意义。目前大范围的叶面积指数只能通过遥感反演和机理模型模拟获得,而通过这两种方法获取的叶面积指数都存在一定的不确定性。利用大气-植被相互作用模型(AVIM2)在0.1°×0.1°经纬度网格上模拟产生了中国区域叶面积指数并与两套使用不同遥感反演方法生成的叶面积指数在空间分布和季节变化特征方面进行了比较。通过比较说明中国区域植被叶面积指数分布主要受水分条件限制,整体呈现东南部高西北部低的趋势。中国区域植被生长的季节变化受季风影响显著,与气温及地表太阳辐射的季节变化趋势相一致。中国区域叶面积指数整体呈现夏季高、春秋季次之而冬季低的趋势。     

利用半球图像法提取植被冠层结构特征参数

植被冠层结构深刻地影响着植物群落与环境的相互作用,对植被冠层结构的研究是深入理解植被生态系统格局、过程及其运作机制的重要基础。冠层结构特征参数的快速测量方法是植被冠层结构研究的前提,目前测量方法主要是基于实际测量的地面法,地面法一般费时费力,受人为因素影响较大,因此本文探索利用半球图像法获取植被冠层结构特征参数。通过对半球图像进行几何纠正并建立参数图层,与分类后的植被冠层图层进行运算提取植被冠层结构特征参数。将该方法应用于祁连山旺腰沟流域青海云杉冠层结构特征参数的提取,包括植被冠幅、冠层面积、冠层周长等,结果显示：半球图像法能够较好的提取植被冠层结构特征参数,该方法具有简单、客观、可重复等优点,也可作为植被冠层结构变化的监测方法。     

大气CO_2浓度升高与森林群落结构的可能性变化

大气 CO2 浓度升高所引起的森林生态系统生态稳定性的变化会导致森林在结构和功能上的变动 ,概述了大气 CO2浓度升高和陆地森林生态系统可能性变化之间的相互关系的研究情况。由于大气 CO2 浓度升高出现了额外多的 C,供应 ,讨论了以这些额外多的 C经大气 -植物 -土壤途径的流动走向 ,来研究大气 CO2 浓度的升高 ,与森林结构的相互作用 ,探讨了大气 CO2 浓度升高对森林植物生长、冠层结构、引发的生物量增量的分配、凋落物质量和根质量的变化造成的土壤生态过程的变化、微生物共生体、有机质周转率、营养循环的潜在效应以及气温上升对森林植物产生的可能性影响 ,这些受影响的生物要素和生态过程 ,会引起群落内植物间对资源原有的竞争关系发生变化 ,对资源竞争的格局发生变化最终将会导致森林结构的改变。     

中国森林冠层生物多样性监测

林冠作为森林与外界环境相互作用最直接和最活跃的关键生态界面,承载了森林生物多样性的主体,在生物多样性的形成与维持以及生态系统功能过程中发挥着重要的作用,被称为地球的"第八大洲"。同时,林冠对气候变化和人为干扰高度敏感,在人类活动和全球气候变化加剧的背景下,森林生态系统正面临着严重的威胁,首当其冲的就是森林冠层。气候变化下的林冠生物多样性保护与可持续利用已成为现代生态学研究的热点问题,受到森林生态学、气候学、环境科学等研究领域的学者越来越多的关注。据此,中国生物多样性监测与研究网络以网络内拥有森林冠层塔吊的生物多样性监测样地为平台,建立了林冠生物多样性监测专项网。该专项网将参照国际标准,统一监测指标,规范监测标准,通过大尺度地带性森林冠层内植物(包括附生种子植物和附生孢子植物)多样性、动物多样性、微生物多样性及其动态变化的长期监测,结合林冠小气候环境特征监测,建立林冠小环境特征、植物多样性、节肢动物多样性和微生物多样性等4个动态更新的数据库,以阐明我国典型森林林冠生物多样性变化的规律,揭示其对森林生态系统功能过程的影响和对全球变化的响应。     

玉米农田蒸散过程及其对气候变化的响应模拟

应用基于生理生态学过程的EALCO模型,对玉米农田生态系统的蒸散(ET)过程进行了模拟,在模型检验基础上,使用该模型模拟了玉米农田生态系统ET过程对未来气候变化的响应。结果表明,EALCO模型中能量与水过程的动态耦合机制使模型能够较好地模拟农田蒸散过程,基于涡度相关法的观测值与模型模拟值在小时、日尺度上均吻合较好,模型可以解释67%的日蒸散的变化特征。对土壤蒸发与冠层蒸腾的分别模拟显示,生长季土壤蒸发约占ET的36%。温度的升高会引起ET与冠层蒸腾的增加,同时土壤蒸发减少;ET对降水减少的响应较为敏感,主要表现在土壤蒸发的下降。大气CO2浓度升高对冠层蒸腾影响显著,该情景下冠层蒸腾下降幅度最大。研究所假设的2100年气候情景下,该农田生态系统生长季蒸散将减少,然而相对于降水的减少而言,蒸散的减少量较小,即水分支出项相对增加,因此,发生土壤水分匮乏的可能性加大,这可能会加剧该地区的暖干化趋势,给作物产量及生态环境带来威胁。     

西双版纳人工橡胶林冠层温度及其影响因子

冠层温度(T_c)是衡量植物水分和热量的关键生理生态指标之一。本研究以西双版纳地区橡胶林为对象,利用红外温度传感器及常规气象监测数据,分析了2014—2016年橡胶林冠层温度和气象因子的变化,旨在揭示西双版纳地区橡胶林冠层温度的变化特征及其与气象因子之间的关系。结果表明：T_c的年变化和干季日变化特征都呈现出单峰趋势,而雨季日变化呈现出双峰趋势;T_c与各气象因子的相关性为大气温度>饱和水汽压差>净辐射>风速>相对湿度>降水量,其中,大气温度与T_c的相关性最强(r=0.92,P<0.01,n=1096);偏相关分析发现,大气温度、净辐射和饱和水汽压差对干、雨两季的T_c都有显著影响,但干季影响T_c的因素主要是大气温度和净辐射,雨季影响T_c的主要因素是大气温度和饱和水汽压差。本研究初步得出了西双版纳地区冠层温度的变化特征及其与气象因子的关系,为深入探究冠层温度的影响因子提供了基础。     

北京山区典型暖温带落叶阔叶林大气CO_2浓度、草本层光合作用及土壤释放CO_2变化特点(英文)

为探讨森林生态系统植被、土壤等不同组分与大气CO_2交换特点,利用中型同化箱(40cm×40cm×2Ocm)及红外CO_2分析仪装置对北京山区典型暖温带森林生态系统辽东栎(Quercus liaotungensisKoidz.)林草本层净光合作用、土壤释放CO_2及林外(高出林冠2m)与林内(低于林冠2m)大气CO_2变化进行测定。结果表明:夏季及秋季大气CO_2浓度分别为(323±10)μmol·mol~(-1)和(330±1)μmol·mol~(-1);在一天内连续24h的测定中,大气与林内CO_2浓度的差值最大时可分别达-46和-61μmol·mol~(-1)。夏季草本层净光合强度为(2.59±1.05)μmol CO_2·m~(-2)·s~(-1),是秋季((1.31±0.39)μmol CO_2·m~(-2)·s~(-1))的2倍;夏季土壤呼吸释放CO_2的强度明显高于秋季,分别为(5.18±0.75)μmol CO_2·m~(-2)·s~(-1)和(1.96±0.57)μmol CO_2·m~(-2)·s~(-1)。土壤释放CO_2强度与地面温度之间存在显著相关,其关系式为Y=-0.8642 0.3101X(r=0.7164,P<0.001,n=117)。大气CO_2浓度的低值及草本层光合强度高值约出现在14:00左右;而在夜间土壤释放CO_2强度增加,表现为大气CO_2浓度升高。     

Spring leaf phenology and the diurnal temperature range in a temperate maple forest

Spring leaf phenology in temperate climates is intricately related to numerous aspects of the lower atmosphere [e.g., surface energy balance, carbon flux, humidity, the diurnal temperature range (DTR)]. To further develop and improve the accuracy of ecosystem and climate models, additional investigations of the specific nature of the relationships between spring leaf phenology and various ecosystem and climate processes are required in different environments. This study used visual observations of maple leaf phenology, below-canopy light intensities, and micrometeorological data collected during the spring seasons of 2008, 2009, and 2010 to examine the potential influence of leaf phenology on a seasonal transition in the trend of the DTR. The timing of a reversal in the DTR trend occurred near the time when the leaves were unfolding and expanding. The results suggest that the spring decline in the DTR can be attributed primarily to the effect of canopy closure on daily maximum temperature. These findings improve our understanding of the relationship between leaf phenology and the diurnal temperature range in temperate maple forests during the spring. They also demonstrate the necessity of incorporating accurate phenological data into ecosystem and climate models and warrant a careful examination of the extent to which canopy phenology is currently incorporated into existing models.     

亚热带毛竹林生态系统能量通量及平衡分析

利用开路涡度相关系统和常规气象观测仪器,对亚热带(浙江省)毛竹林生态系统2011年的净辐射、显热通量、潜热通量、土壤热通量以及气温、地温、降雨量等气象要素进行了连续观测,定量分析了毛竹林生态系统能量通量的变化和各能量分量的分配特征,并计算了能量闭合度以及波文比。结果表明:毛竹林全年净辐射为2628.00 MJ/m2,显热通量为576.80 MJ/m2,潜热通量为1666.77 MJ/m2,土壤热通量为-7.52 MJ/m2,土壤为热源,各能量分量季节变化明显,日变化基本呈单峰型曲线变化。显热通量占净辐射的22.0%,潜热通量占63.4%,毛竹林生态系统潜热通量为能量散失的主要形式。波文比逐月变化规律不明显,波动较大,在0.07—1.77之间变化,能量平衡比率法得出毛竹林年能量闭合度为0.85,月平均闭合度为0.84,能量闭合度高于线性回归法计算结果,但仍有15%的能量不闭合。     

Distinct patterns of changes in surface energy budget associated with forestation in the semiarid region

Land use and land cover changes greatly influence surface energy balance and consequently climate, and are likely to be associated with the persistent predictions of warming and drying throughout the Mediterranean and other regions. We specifically address the question of how the high radiation load and suppressed latent heat flux, intrinsic to dry regions, interact with land use changes and climate in these environments. We use for this purpose a detailed 6‐year (2003–2008) study of the redistribution of the radiation load in an open‐canopy pine forest. The results show that compared with the background shrubland, there was a 23.8 W m^?2 increase in shortwave radiation load on the forest (to a mean annual net solar radiation of 211 W m^?2) associated with a decrease in albedo of 0.1. Surface (skin) temperature in the forest was lower than in the shrubland (by ～5 °C on average) due to an efficient ‘convector effect’ and the production of a large sensible heat flux (up to 926 W m^?2 in summer), which effectively shifted heat from the canopy to the overlying boundary layer. The cooler forest skin temperature resulted in suppression of upwelling longwave radiation (by 25 W m^?2, annual average), further increasing the forest radiation load (mean annual net radiation of 116 and 67 W m^?2 for forest and shrubland, respectively). This suppression also resulted in a local ‘canopy greenhouse effect’, where upwelling longwave radiation from the ground to the canopy was larger than from the canopy to the atmosphere (by up to 150 W m^?2 in summer) and was associated with ～3 °C warming below the canopy. The ability of the dry productive forest to deal with the high radiation load indicates the potential for afforestation in dry areas.     

Changes of Atmospheric CO2, Photosynthesis of the Grass Layer and Soil CO2 Evolution in a Typical Temperate Deciduous Forest Stand in the Mountainous Areas of Beijing

Middle-sized chambers (40 cmx 40 cmx20 cm) and an infrared gas analyzer (IRGA)were used for the measurement of net photosynthesis of the grass layer and soil CO2 evolution, in Quercus liaotungensis Koidz. forest, which is a typical temperate forest ecosystem in the mountainous areas of Beijing. Changes of CO2 concentrations in both the atmosphere (2 m above canopy) and the forest canopy (2 m below the top of the canopy) together with those of net photosynthesis and soil CO2 evolution were also examined, in order to find the characteristics of CO2 exchange between the different components of the temperate forest ecosystem and the atmosphere. Atmospheric CO2 averaged (323 ±10) and (330± 1) μmol'mo1-1 respectively in summer and autumn. During the 24-hour measurements, large differences as much as – 46 and – 61 μmol ·mol- 1 respectively in the atmosphere and forest were found. Net photosynthesis of the grass layer in summer was (2.59 ± 1.05) μmol CO2·m-2·s-1, two times of that in autumn, (1.31±0.39) μmol CO2·m-2·'s-1. In summer, there was much more CO2 evolved from soil than in autumn, averaging (5.18 ± 0.75) μmol CO2·m- 2·s- 1 and ( 1.96 ± 0.57) tanol CO2· m- 2· s- 1, respectively. A significant correlation was found between soil CO2 evolution and ground temperature, with Y = –0.864 2 + 0.310 1X, r =0.7164, P < 0.001 (n = 117). Both the minimal atmospheric CO2 level and the maximum net photosynthesis occurred around 14:00; and an increase in atmospheric CO2 and of soil CO2 evolution during night times were also found to be remarkable.     

Nitrogen fixation of epiphytic plants enwrapping trees in Ailao Mountain cloud forests, Yunnan, China

Epiphytic plants play an important role in the nutrient cycle of forest ecosystems. There had been fewer studies in subtropical regions than in other climate zones. Prior research showed that the canopy epiphyte could fix nitrogen combined with microorganism in tropical forest. The epiphytic plants enwrapping trees in canopy layer are very abundant in the subtropical mountainous cloud forest of Ailao Mountain (central and southern Yunnan Province, SW China). This forest lacks widespread nitrogen-fixing plants, and the nitrogen origin is elusive. Maybe there also exist such nitrogen-fixing systems in epiphyte community. Nitrogen-fixing potentials of canopy epiphytes increased greatly from dry season to wet season. There occurred an obvious difference on the epiphytic nitrogen fixation abilities between upper canopy layer and sub-canopy layer in alternant period between wet season and dry season. Epiphytic nitrogen-fixing potentials for the subtropical moist forest in Ailao Mountains ranged between 0.027 and 2.24 kg ha^?1?year^?1. Our results indicate that the canopy epiphytes in the subtropical moist forest of Ailao Mountains can fix a significant amount of atmospheric nitrogen. This finding suggests a new nitrogen source for the subtropical forest ecosystem, thus can have profound impact on the studies of nitrogen cycling.     

中国东部森林样带典型森林水源涵养功能

通过对我国东部森林样带四个森林生态系统定位研究站（长白山站、北京站、会同站和鼎湖山站）的九种森林类型水源涵养监测数据的分析,研究了水热梯度下不同森林生态系统水源涵养功能。结果表明：在生长季的5-10月份,各森林类型的水源涵养特性表现出较大差异。林冠截留率的大小依次为：阔叶红松林＞杉木林＞常绿阔叶林＞针阔混交林＞季风常绿阔叶林＞落叶阔叶混交林＞马尾松林＞落叶松林＞油松林,最高的长白山站阔叶红松林的截留率是最低的北京站油松林的2.2倍。森林降雨截留量与林外降雨量呈显著的正相关,林冠截留率与降雨量呈显著负相关。枯落物最大持水深（5-10月份）以北京站落叶阔叶林最大,为6.0mm;鼎湖山站的季风常绿阔叶林最小,为1.0mm。0-60cm土层蓄水量最大的是会同站的人工杉木林,为247mm;最小的是北京站的落叶松林,仅为45.5mm;林分总持水量依次为：杉木林＞阔叶红松林＞常绿阔叶林＞针阔混交林＞季风常绿阔叶林＞落叶阔叶混交林＞马尾松林＞落叶松林＞油松林。各林分总持水量主要集中在土壤层,占总比例的90%以上。     

暖温带落叶阔叶林碳循环的初步估算

 森林生态系统碳循环过程与大气中二氧化碳含量有密切的关系,直接影响着大气成分的组成,进而对全球气候变化有重要影响。以我国暖温带落叶阔叶林生态系统近10年的定位研究为基础,初步建立了该类生态系统碳循环数值模式。结果表明：暖温带落叶阔叶林典型生态系统每年从外界主要是大气中吸收的碳是10.3 t·hm-2·a-1,植物呼吸释放到大气中的碳通量为5.5 t·hm-2·a-1。森林植物干物质积存的碳量为4.8 t·hm-2·a-1,通过凋落物分解释放到大气中的碳通量为2.46 t·hm-2·a-1。森林同化的碳绝大部分以活生物呼吸和凋落物分解的形式释放到大气中去了,存留在活生物体和凋落物中的很少。通过对碳现存量的研究发现,所研究的森林生态系统碳现存量为165.05 t·hm-2,其中活生物体碳现存量为61.2 t·hm-2,死生物体碳现存量为104.05 t·hm-2 (包括土壤中碳),土壤碳现存量为96 t·hm-2。土壤碳储量占总碳储量的58%,土壤是该地区森林生态系统主要的碳库,森林生态系统土壤中碳储量的变化必然引起整个区域碳储量整体动态的变化。     

Climate change,woodpeckers, and forests: Current trends and future modeling needs

The structure and composition of forest ecosystems are expected to shift with climate‐induced changes in precipitation, temperature, fire, carbon mitigation strategies, and biological disturbance. These factors are likely to have biodiversity implications. However, climate‐driven forest ecosystem models used to predict changes to forest structure and composition are not coupled to models used to predict changes to biodiversity. We proposed integrating woodpecker response (biodiversity indicator) with forest ecosystem models. Woodpeckers are a good indicator species of forest ecosystem dynamics, because they are ecologically constrained by landscape‐scale forest components, such as composition, structure, disturbance regimes, and management activities. In addition, they are correlated with forest avifauna community diversity. In this study, we explore integrating woodpecker and forest ecosystem climate models. We review climate–woodpecker models and compare the predicted responses to observed climate‐induced changes. We identify inconsistencies between observed and predicted responses, explore the modeling causes, and identify the models pertinent to integration that address the inconsistencies. We found that predictions in the short term are not in agreement with observed trends for 7 of 15 evaluated species. Because niche constraints associated with woodpeckers are a result of complex interactions between climate, vegetation, and disturbance, we hypothesize that the lack of adequate representation of these processes in the current broad‐scale climate–woodpecker models results in model–data mismatch. As a first step toward improvement, we suggest a conceptual model of climate–woodpecker–forest modeling for integration. The integration model provides climate‐driven forest ecosystem modeling with a measure of biodiversity while retaining the feedback between climate and vegetation in woodpecker climate change modeling.     

Canopy duration has little influence on annual carbon storage in the deciduous broad leaf forest

Vegetation phenology, the study of the timing and length of the terrestrial growing season and its connection to climate, is increasingly important in integrated Earth system science. Phenological variability is an excellent barometer of short‐ and long‐term climatic variability, strongly influences surface meteorology, and may influence the carbon cycle. Here, using the 1895–1993 Vegetation/Ecosystem Modelling and Analysis dataset and the Biome‐BGC terrestrial ecosystem model, we investigated the relationship between phenological metrics and annual net ecosystem exchange (NEE) of carbon. For the 1167 deciduous broad leaf forest pixels, we found that NEE was extremely weakly related to canopy duration (days from leaf appearance to complete leaf fall). Longer canopy duration, did, however, sequester more carbon if warm season precipitation was above average. Carbon uptake period (number of days with net CO₂ uptake from the atmosphere), which integrates the influence of all ecosystem states and processes, was strongly related to NEE. Results from the Harvard Forest eddy‐covariance site supported our findings. Such dramatically different results from two definitions of ‘growing season length’ highlight the potential for confusion among the many disciplines engaged in phenological research.