基于双作物系数法估算不同水分条件下温室番茄蒸发蒸腾量

2015—2016年在中国农业科学院新乡综合试验基地,以华北地区典型日光温室滴灌番茄为研究对象,分析2种灌溉水平[参考20 cm标准蒸发皿的累积蒸发量(E_p),设置2种灌溉水平(高水: 0.9E_p;低水:0.5E_p)]下番茄不同生育期土壤蒸发(E)、作物蒸腾(T)、蒸发蒸腾(ET)和土壤蒸发占蒸发蒸腾比值(E/ET)的变化,探讨水分亏缺对作物系数(K_c)的影响以及水分胁迫系数(K_s)在全生育期的动态变化.采用双作物系数法分别估算E、T和ET,并与实测结果进行对比分析.结果表明: 2015和2016年全生育期高水处理的E分别比低水处理高21.5%和20.4%, 占总蒸发蒸腾量的24.0%和25.0%,E/ET在生育初期最大、中期最小;高水处理的K_c值在生育初期、发育期、生育中期和生育后期分别为0.45、0.89、1.06和0.93,低水处理下分别为0.45、0.89、0.87和0.41;低水处理的K_s值在0.32～1.0,生育初期、发育期、生育中期和生育后期分别为0.98、0.93、0.78和0.39.双作物系数法可较精确地估算不同水分处理的ET,其平均绝对误差(MAE)为0.36～0.48 mm·d^-1,均方根误差(RMSE)为0.44～0.65 mm·d^-1;该方法也可精确地估算E和T,其MAE分别为0.15～0.19和0.26～0.56 mm·d^-1,RMSE分别为0.20～0.24和0.33～0.72 mm·d^-1.     

开放式昼夜不同增温对单季稻影响的试验研究

全球变暖趋势日益明朗,且存在明显的季节性差异和昼夜不对称性。水稻是我国最重要的粮食作物,研究水稻生产力对昼夜不同增温的响应与适应对我国未来粮食安全战略决策至关重要。为此,作者在江苏南京设计我国首个稻田开放式增温（FATI：Free Air Temperature Increased) 系统,在2007—2008年对水稻进行昼夜不同增温（全天增温、白天增温和夜间增温）的试验研究。结果表明,该增温系统可以形成4 m2均匀且稳定的增温范围,全天、白天和夜间增温处理平均分别可以使水稻全生育期冠层日均温升高2.0℃、0.6℃和0.9℃。白天增温使水稻全生育期冠层白天温度平均升高1.1℃,夜间增温使夜间温度平均升高1.8℃,与未来的升温幅度相似。全天、白天和夜间增温处理下,水稻冠层温度日较差变化分别为0.1℃、0.6℃和-0.9℃。同时,在该系统的3种增温情景下,水稻分蘖期、孕穗期和灌浆期的田间冠层温度日变化趋势基本与常规对照区一致,全生育期的日平均温度变化趋势也基本一致。两年的增温试验表明,不同增温情景均对水稻的生育进程、成熟期地上生物量和产量产生了明显的影响。其中全天、白天和夜间增温分别使水稻从移栽到始穗平均的日期缩短3.5 d、2 d和2.5 d,但对始穗至成熟期的影响不明显;全天、白天和夜间增温分别使水稻地上生物量降低7.7%、6.6%和2.8%,但差异均不显著;白天和夜间增温分别使水稻产量下降8.9%和4.5%,而全天增温下水稻产量略有上升,但均未达到显著水平。从产量构成来看,增温下有效穗数和结实率呈现递增趋势,每穗粒数和千粒重呈现下降趋势。增温对水稻株高的影响不明显。上述结果表明,该稻田开放式增温系统能满足水稻系统生产力对未来气候变暖响应与适应的试验研究要求,气候变暖对水稻生产力影响的相关模型分析结果也尚需进一步的田间实际增温试验验证,模型所需的相关参数也需要进一步完善。     

Biome-BGC模型模拟阔叶红松林碳水通量的参数敏感性检验和不确定性分析

生态过程模型的发展为研究者在长时间序列和区域尺度的研究提供了便利, 但模型模拟的准确性受到模型自身结构、模型参数估计合理性的影响。敏感性分析能够定量或定性筛选出对模型模拟结果影响较大的敏感参数, 是模型参数校准过程中的重要工具, 也是建模和应用的先决条件。该文以阔叶红松林为研究对象, 采用全局敏感性分析方法——傅里叶幅度灵敏度检验扩展法(EFAST)对Biome-BGC模型的生理生态参数进行了敏感性分析, 分别分析了红松(Pinus koraiensis)和阔叶树的净初级生产力(NPP)、蒸散(ET)对参数变化的敏感性。结果表明: (1)模拟红松NPP的不确定性高于阔叶树, 但二者的模拟ET的不确定性均较小。阔叶树的NPP和ET对生理生态参数的敏感性总体上都小于红松。(2)无论是红松、阔叶或其他植被类型, 模拟NPP均表现出对叶片碳氮比、细根碳氮比、比叶面积(SLA)和冠层截留系数的敏感性, 这4个参数的高敏感性主要是由模型自身结构所决定的, 与植被类型和研究地区的关系较小。对模拟ET而言, 细根与叶片碳分配比、新茎与新叶碳分配比和SLA均是影响红松和阔叶树ET的敏感参数, 但红松ET主要受参数与参数间的二阶或多阶交互作用的间接影响, 而阔叶树ET则主要是受到敏感参数直接效应的影响。(3)除了上述影响红松和阔叶树碳水通量的共性参数外, 诸如核酮糖-1,5-二磷酸羧化酶中叶氮含量、叶片与细根周转率、所有叶面积与投影叶面积之比等也是对模拟结果有影响的重要参数, 但是其敏感程度随物种不同和研究区不同而不同, 所以这类参数可以根据具体情况进行参数本地化, 对于其他不敏感参数则可以采用模型缺省值。     

Testing parameter sensitivities and uncertainty analysis of Biome-BGC model in simulating carbon and water fluxes in broadleaved-Korean pine forests

生态过程模型的发展为研究者在长时间序列和区域尺度的研究提供了便利, 但模型模拟的准确性受到模型自身结构、模型参数估计合理性的影响。敏感性分析能够定量或定性筛选出对模型模拟结果影响较大的敏感参数, 是模型参数校准过程中的重要工具, 也是建模和应用的先决条件。该文以阔叶红松林为研究对象, 采用全局敏感性分析方法——傅里叶幅度灵敏度检验扩展法(EFAST)对Biome-BGC模型的生理生态参数进行了敏感性分析, 分别分析了红松(Pinus koraiensis)和阔叶树的净初级生产力(NPP)、蒸散(ET)对参数变化的敏感性。结果表明: (1)模拟红松NPP的不确定性高于阔叶树, 但二者的模拟ET的不确定性均较小。阔叶树的NPP和ET对生理生态参数的敏感性总体上都小于红松。(2)无论是红松、阔叶或其他植被类型, 模拟NPP均表现出对叶片碳氮比、细根碳氮比、比叶面积(SLA)和冠层截留系数的敏感性, 这4个参数的高敏感性主要是由模型自身结构所决定的, 与植被类型和研究地区的关系较小。对模拟ET而言, 细根与叶片碳分配比、新茎与新叶碳分配比和SLA均是影响红松和阔叶树ET的敏感参数, 但红松ET主要受参数与参数间的二阶或多阶交互作用的间接影响, 而阔叶树ET则主要是受到敏感参数直接效应的影响。(3)除了上述影响红松和阔叶树碳水通量的共性参数外, 诸如核酮糖-1,5-二磷酸羧化酶中叶氮含量、叶片与细根周转率、所有叶面积与投影叶面积之比等也是对模拟结果有影响的重要参数, 但是其敏感程度随物种不同和研究区不同而不同, 所以这类参数可以根据具体情况进行参数本地化, 对于其他不敏感参数则可以采用模型缺省值。     

北京松山落叶阔叶林生态系统水热通量对环境因子的响应

温带森林生态系统水热通量在多时间尺度上受各种生物物理因子的影响。该研究假设这些因子对水热通量的影响机制具有时间尺度分异性, 通过涡度相关法(EC)于2019年全年对北京松山典型天然落叶阔叶林生态系统蒸散发(ET)、显热通量(H)、潜热通量(LE)、土壤热通量(G)、饱和水汽压差(VPD)、空气温度(T_a)、光合有效辐射(PAR)、归一化植被指数(NDVI)及10 cm深度土壤水分(VWC)等要素进行原位连续监测, 使用小波分析的方法分析了日、季节尺度上生物与非生物因子对生态系统能量分配与水汽交换的调控机制。主要研究结果: 2019年松山天然落叶阔叶林生态系统年均波文比(β)为1.53。ET具有明显的季节变化特征, 从第100天开始逐渐增加, 7月达到峰值, 第300天下降到最低水平。ET最大日累计值为5.01 mm·d^-1, 年累计值为476.2 mm, 年降水量为503.3 mm。在日尺度上水热通量与VPD间滞后时间最短, 为3.36 h。在季节尺度上与PAR间滞后时间最短, 为8天。季节尺度上PAR通过VPD来对ET造成间接影响, 而对β造成直接影响。该研究发现不同时间尺度上水热通量与环境因子间的时滞关系, 为选择模型在不同时间尺度下北方温带落叶阔叶林生态系统过程的最佳输入参数提供科学支持。     

不同幅度的实验增温对藏北高寒草甸净生态系统碳交换的影响

全球气候变暖将对陆地生态系统(尤其是高寒草甸生态系统)碳循环产生深远影响。该研究依托中国科学院地理科学与资源研究所藏北高原草地生态系统研究站(那曲站), 设置不同增温幅度实验, 模拟未来2 ℃增温和4 ℃增温的情景, 探究不同增温幅度对青藏高原高寒草甸净生态系统碳交换(NEE)的影响。研究结果显示: 1)在2015年生长季(6-9月), 不增温和2 ℃增温处理下NEE小于0, 总体表现为碳汇, 而4 ℃增温处理下NEE大于0, 总体表现为碳源; 2)在生长季的6月、8月及整个生长季, 与不增温相比, 4 ℃增温处理显著提高了NEE, 而2 ℃增温处理没有显著改变NEE; 7月, 2 ℃和4 ℃增温处理均显著提高了NEE; 3)在半干旱的高寒草甸生态系统, 土壤水分是决定NEE的关键因素, 增温通过降低土壤水分而导致高寒草甸生态系统碳汇能力下降。该研究可为青藏高原高寒草甸生态系统应对未来气候变化提供基础数据和理论依据。     

气候变暖对河西走廊绿洲灌区玉米产量影响及对策研究

利用河西走廊绿洲灌区西(酒泉)、中(张掖)、东部(武威)代表站25年的气温和玉米产量资料,计算出各区域玉米生育期内≥0℃、5℃、10℃、15℃、20℃活动积温,用正交多项式拟合分离出玉米气候产量。采用多项式法、线性倾向、累积距平等统计学方法分析积温和玉米气候产量的变化特征,以及气候变暖对玉米产量的影响。结果表明:随着全球气候变暖,河西走廊灌区不同区域积温变化均呈明显上升趋势;玉米生育期内≥10℃的活动积温与产量关系最为密切,是影响当地玉米产量的关键气象因子,玉米产量随≥10℃积温的增加而提高;灌区气候变暖后玉米气候产量比变暖前明显增加,自西向东分别增加124%、186%和301%。气候变暖、热量资源增加有利于提高喜温作物玉米产量,表明河西走廊绿洲灌区可以进一步扩大玉米种植面积,建立玉米种植基地。     

昼夜温差对小麦光合特性的影响

在严格控制光照和空气相对湿度的人工气候室内,模拟不同昼夜温差（２５℃／１０℃,昼／夜和２５℃／２５℃,昼夜）,对两个原在不同环境条件下栽培的青海高原３３８和上海沪麦５号小麦品种的光合特性进行了进行了比较研究。结果表明,在有１５℃昼夜温差处理条件下生长的小麦,其叶面积较大,叶片寿命较长,呼吸作用较低。不同的昼夜温差条件下小麦的光合作用响应曲线没有明显的差异;但在夜温为１０℃下生长小麦,其光合作用的最     

长江三角洲地区极端气温事件变化特征及其与ENSO的关系

基于1960—2014年65个气象站点逐日最高、最低气温和平均气温资料,分析了长江三角洲地区极端气温事件的变化规律和ENSO事件强度对极端气温指数变化趋势的影响。结果表明:近55年长江三角洲地区夏季日数(SU)、热夜日数(TR)、暖昼日数(TX90)、暖夜日数(TN90)、异常暖昼持续指数(WSDI)、生长期(GSL)均呈增加趋势,其中暖夜日数(TN90)增加幅度最大,增幅为8.55d/10a;极值指数也呈上升趋势,其中月最低气温极小值(TNn)上升幅度最大为(0.53℃/10a);冰冻日数(ID)、霜冻日数(FD)、冷昼日数(TX10)、冷夜日数(TN10)、异常冷昼持续指数(CSDI)均呈减少趋势,其中冷夜日数(TN10)减少幅度最大(-6.06d/10a);月平均日较差(DTR)以0.11℃/10a的速率呈下降趋势。空间上,所有站点SU、TXn、TNx呈增加趋势;TR、TX90、TN90、TNn、TXx、WSDI、GSL分别有97%、85%、98%、95%、78%、92%、94%的站点呈增加趋势;所有站点ID、FD、TX10、TN10呈减少趋势;CSDI、DTR分别有87%、77%的站点呈减少趋势。多数极端气温指数与纬度、经度、海拔显著相关。气候变暖突变后,极端暖指数明显增加,极端冷指数明显减少。总体上,厄尔尼诺对极端气温指数的影响大于拉尼娜的影响。     

中国北方植被水分利用效率的时间变化特征及其影响因子

水分利用效率(WUE)既是衡量植被生长适应性的重要指标, 也是连接生态系统水碳循环的纽带。认识不同类型植被WUE的时间变化特征及驱动机制有助于增进对生态系统水碳循环过程的理解。已有研究表明, 在不同时间尺度下, WUE呈现不同的时间变化特征, 但现有研究多是集中在单一的时间尺度下开展的, 对不同植被类型在不同时间尺度下的动态变化及影响因子分析开展得较少。该研究选用中国北方地区9个定位观测台站的通量与气象数据, 分析了WUE的日内变化和季节变化特征, 并在0.5 h、1 d、8 d以及月尺度下, 分别分析了气温(T_a)、相对湿度(RH)、饱和水汽压差(VPD)以及光合有效辐射(PAR)等非生物因子对WUE的影响。同时, 该研究也分析了植被叶面积指数(LAI)和降水(P)对WUE的影响。研究发现: (1) WUE的日变化呈现不对称的“U”型特征, 日出时的WUE普遍高于日落时。荒漠地区WUE的季节变化呈“U”型, 而其他站点呈现单峰型。不同站点WUE的季节变化可以分为总初级生产力(GPP)主导型和蒸发散(ET)主导型, 并随着时间尺度的扩大, GPP或ET的主导作用逐渐增强。(2)在较短的时间尺度(0.5 h、1 d)上, T_a、RH、VPD和PAR是影响WUE变化的主要因子, 但随着时间尺度的扩大, T_a和RH成为影响WUE变化的主要因子, 并且与WUE的相关关系受GPP或ET对WUE主导作用的影响, 随着时间尺度增大, T_a和RH与WUE的线性关系更加显著。(3) WUE大体上随LAI的增加而增加, 但当LAI超过一定值时, 在长白山、海北和张掖站, WUE对LAI的敏感性降低。降水与WUE的关系在研究区域内并不显著。(4)不同植被类型的WUE由大到小依次为森林、农田、草地、湿地和荒漠。     

Differential effects of diurnal asymmetric and symmetric warming on yield and water utilization of soybean

Aims Global warming does not mean similar warmer temperatures between daytime and nighttime. Soybean (Glycine max) is a widely planted legume crop around the world and an important food crop in China. The aim of this study was to understand the responses of soybean growth and water utilization to future asymmetric warming, which would provide scientific reference for evaluating the adaptation of soybean to the future climate scenarios.Methods This experiment was carried out in artificial climate chambers, using the method of potted plants, under three temperature conditions; contrast (CON, 26 °C during the day and 16 °C during night), symmetric warming (ETs, elevated temperature of 3 °C both during the day and night), asymmetric warming (ETa, elevated temperature of 2 °C during the day and elevated temperature of 4 °C during night). We investigated the differential effects of diurnal asymmetric and symmetric warming on the yield and water consumption of soybean. Important findings The results revealed that, under the background of 26 °C during the day and 16 °C during night: 1) the effect of ETs on soybean yields showed no significant function that mainly benefit from the increase in the amount of biomass to ease negative influence of decrease in the harvest index. ETa reduced yields of soybean by 38.9% (p < 0.05) due to both significant decrease in harvest index and yield components (pod number per plant, grain number per pod and 100-grain weight). 2) ETs showed no obvious effect on the whole growing stage evapotranspiration (ET) of soybean, while ETa reduced the whole growing stage ET by 14.8% (p < 0.05). 3) The effect of the two warming pattern on water consumption of soybean were not significant. The difference in water consumption was mainly derived from the difference in transpiration (T). ETs and ETa reduced total transpiration by 10.7% (p < 0.05) and 26.1% (p < 0.05), respectively. In conclusion, our results suggest that ETs will underestimate the detrimental effects of real climate warming (ETa) on the growth and yield of soybean, and overestimate the effects on water consumption of soybean.     

Spatio-temporal characteristics of evapotranspiration and water use efficiency in grasslands of Xinjiang

Aims Xinjiang is located in the hinterland of the Eurasian arid areas, with grasslands widely distributed. Grasslands in Xinjiang provide significant economic and ecological benefits. However, research on evapotranspiration (ET) and water use efficiency (WUE) of the grasslands is still relatively weak. This study aimed to explore the spatio-temporal characteristics on ET and WUE in the grasslands of Xinjiang in the context of climate change.Methods The Biome-BGC model was used to determine the spatio-temporal characteristics of ET and WUE of the grasslands over the period 1979-2012 across different seasons, areas and grassland types in Xinjiang.Important findings The average annual ET in the grasslands of Xinjiang was estimated at 245.7 mm, with interannual variations generally consistent with that of precipitation. Overall, the value of ET was lower than that of precipitation. The higher values of ET mainly distributed in the Tianshan Mountains, Altai Mountains, Altun Mountains and the low mountain areas on the northern slope of Kunlun Mountains. The lower values of ET mainly distributed in the highland areas of Kunlun Mountains and the desert plains. Over the period 1979-2012, average annual ET was 183.2 mm in the grasslands of southern Xinjiang, 357.9 mm in the grasslands of the Tianshan Mountains, and 221.3 mm in grasslands of northern Xinjiang. In winter, ET in grasslands of northern Xinjiang was slightly higher than that of Tianshan Mountains. Average annual ET ranked among grassland types as: mid-mountain meadow > swamp meadow > typical grassland > desert grassland > alpine meadow > saline meadow. The highest ET value occurred in summer, and the lowest ET value occurred in winter, with ET in spring being slightly higher than that in autumn. The higher WUE values mainly distributed in the areas of Tianshan Mountains and Altai Mountains. The lower WUE values mainly distributed in the highland areas of Kunlun Mountains and part of the desert plains. The average annual WUE in the grasslands of Xinjiang was 0.56 g·kg^-1, with the seasonal values of 0.43 g·kg^-1 in spring, 0.60 g·kg^-1 in summer, and 0.48 g·kg^-1 in autumn, respectively. Over the period 1979-2012, the values of WUE displayed significant regional differences: the average values were 0.73 g·kg^-1 in northern Xinjiang, 0.26 g·kg^-1 in southern Xinjiang, and 0.69 g·kg^-1 in Tianshan Mountains. There were also significant differences in WUE among grassland types. The values of WUE ranked in the order of mid-mountain meadow > typical grassland > swamp meadow > saline meadow > alpine meadow > desert grassland.     

Comparison of the effects of symmetric and asymmetric temperature elevation and CO2 enrichment on yield and evapotranspiration of winter wheat (Triticum aestivum L.)

Under the changing climate, asymmetric warming pattern would be more likely during day and night time, instead of symmetric one. Concurrently, the growth responses and water use of plants may be different compared with those estimated based on symmetric warming. In this work, it was compared with the effects of symmetric (ETs) and asymmetric (ETa) elevation of temperature alone, and in interaction with elevated carbon dioxide concentration (EC), on the grain yield (GY) and evapotranspiration in winter wheat (Triticum aestivum L.) based on pot experiment in the North China Plain (NCP). The experiment was carried out in six enclosed‐top chambers with following climate treatments: (1) ambient temperature and ambient CO₂ (CON), (2) ambient temperature and elevated CO₂ (EC), (3) elevated temperature and ambient CO₂ (ETs; ETa), and (4) elevated temperature and elevated CO₂ (ECETs, ECETa). In symmetric warming, temperature was increased by 3°C and in asymmetric one by 3.5°C during night and 2.5°C during daytime, respectively. As a result, GY was in ETa and ETs 15.6 (P < 0.05) and 10.3% (P < 0.05) lower than that in CON. In ECETs and ECETa treatments, GY was 14.9 (P < 0.05) and 9.1% (P < 0.05) higher than that in CON. Opposite to GY, evapotranspiration was 7.8 (P < 0.05) and 17.9% (P < 0.05) higher in ETa and ETs treatments and 7.2 (P < 0.05) and 2.1% (P > 0.05) lower in ECETs and ECETa treatments compared with CON. Thus, GY of wheat could be expected to increase under the changing climate with concurrent elevation of CO₂ and temperature as a result of increased WUE under the elevated CO₂. However, the gain would be lower under ETa than that estimated based on ETs due to higher evapotranspiration.     

Effects of experimental warming on net ecosystem CO2 exchange in Northern Xizang alpine meadow

AimsGlobal warming could have profound effects on ecosystem carbon (C) fluxes in alpine ecosystems. The aim of our study is to examine the effects of gradient warming on net ecosystem carbon exchange (NEE).MethodsIn the Northern Tibetan Grassland Ecosystem Research Station (Nagqu station), Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, we conducted various levels of temperature increasing experiments (i.e., 2 °C and 4 °C increments). The warming was achieved using open-top chambers (OTCs). In total, there were three levels of temperature treatments (control, 2 °C and 4 °C increment), and four replicates for each treatment. The ecosystem NEE was monitored every five days during the growing season in 2015.Important findings Our findings highlight the importance of soil moisture in mediating the responses of NEE to climatic warming in alpine meadow ecosystem. The 4 °C warming significantly stimulated NEE,except for July measurements. The 2 °C warming had no effects on NEE during the growing season. Compared to the 2 °C warming, the 4 °C warming significantly stimulated NEE. The results showed that our targeted ecosystem acts as a carbon sink under 2 °C warming, whereas will act as a net carbon source under 4 °C warming in the future. This study provides basic data and theoretical basis for evaluating the alpine ecosystem’s responses to climate change.     

Relationship between photochemical reflectance index with multi-angle hyper-spectrum and light use efficiency in urban green-land ecosystems

Aims Light-use efficiency (LUE) is one of critical parameters in the terrestrial ecosystem production studies. Accurate determination of LUE is very important for LUE models to simulate gross primary productivity (GPP) at regional and global scales. We used eddy covariance technique measurement and tower-based, multi-angular spectro-radiometer observations in autumn 2012 to explore the relationship between bidirectional reflectance distribution function (BRDF) corrected photochemical reflectance index (PRI) and LUE in different phenology and environment conditions in urban green-land ecosystems. Methods Using the eddy covariance technique, we estimated the temporal changes in GPP during the autumn 2012 over Beijing Olympic Forest Park. LUE was calculated as the ratio of GPP to the difference between incoming photosynthetically active radiation (PAR) and PAR reflected from the canopy. Daily PRI values were averaged from the BRDF using semi-empirical kernel driven models. The absolute greenness index (2G_RB) was made by webcam at a constant view zenith and view azimuth angle at solar noon. The logistic function was used to fit the time series of the greenness index. The onset of phonological stages was defined as the point when the curvature reached its maximum value. Important findings Webcamera-observed greenness index (2G_RB) showed a decreasing trend. There was a highly significant relationship between 2G_RB and air temperature (R² = 0.60, p < 0.001). This demonstrates that air temperature is the main driving factor to determine the phenology. PRI estimated from multi-angle hyper-spectrum can estimate LUE in urban green-land ecosystems in vigorous photosynthetic period. The correlation was the strongest (R² = 0.70, p < 0.001) in the peak photosynthetic period. PRI relates better to LUE under high temperature (>15 °C) with high vapour pressure deficit (VPD) (>700 Pa) and high PAR (>300 μmol·m^-2·s^-1). The LUE was up-scaled to landscape/regional scales based on these relationships and phenology. It can also be used for the estimation of GPP of urban green-land with high accuracy.     

城市绿地生态系统多角度高光谱光化学反射植被指数与光能利用率的关系

光能利用率(LUE)是陆地生态系统总初级生产力(GPP)估算的一个重要参数。LUE的准确估算对于在区域甚至全球尺度上使用LUE模型估算GPP是非常重要的。一个基于通量塔的观测视场与通量观测足迹在时空上相匹配的自动多角度遥感平台为LUE在站点尺度上的准确估算提供了一个好方法。该文基于通量塔涡度相关(EC)和自动多角度高光谱连续观测获取的连续30 min的数据, 在站点空间尺度和0.5 h与日时间尺度上, 探讨了城市绿地生态系统秋季光化学反射植被指数(PRI)与LUE之间的关系。研究发现, 反映植被叶面积和色素变化的植被绿度指数在秋季呈现逐渐下降的趋势, 表征了植被冠层的状态与结构变化, 叶片从绿色逐渐变黄凋落, 植被冠层叶片的叶绿素逐渐减少, 裸露的枝干增多; 用空气温度和代表物候过程的绝对绿度指数(2G_RB)做线性回归分析, 得到回归系数(R²)为0.60 (p < 0.001)。说明在城市绿地生态系统中, 空气温度是决定植被物候过程的主要驱动因素, 随着植被物候变化, 叶片的凋落导致的裸露土壤的增多以及随时间变化的色素含量和其比例的变化将影响PRI和LUE的关系; 采用植被生长模型(logistic曲线), 拟合时间与2G_RB, 得到曲率变化最快的点, 确定为秋季植被落叶期的初日, 即第290天。在0.5 h和日时间尺度上, PRI都可以捕捉LUE的变化。但是日尺度上不同物候期, PRI和LUE的关系发生了急剧的变化。在秋季植被正常生长期, PRI和LUE之间的关系最密切(R² = 0.70, p < 0.001)。当土壤温度大于15 ℃、光合有效辐射(PAR)大于300 μmol·m^-2·s^-1以及饱和水汽压差(VPD)大于700 Pa的情况下, PRI能够更好地预测LUE。基于通 量塔尺度上时空尺度相匹配, 利用半经验的核驱动二向反射分布函数模型得到的高光谱PRI和通量观测得到的LUE在不同环境条件下的关系以及考虑到在植被的不同物候期对PRI和LUE的关系的优化, 将会更加准确地估算城市绿地生态系统的LUE。     

北亚热带地带性森林土壤温室气体通量对土地利用方式改变和降水减少的响应

弄清土地利用和降水变化对林地土壤主要温室气体(CO₂、CH₄和N₂O)排放通量变化的影响, 是准确评估森林土壤温室气体排放能力的重要基础。该研究以常绿落叶阔叶混交林原始林、桦木(Betula luminifera)次生林和马尾松(Pinus massoniana)人工林为对象, 采用静态箱-气相色谱法研究了3种土地利用方式(常绿落叶阔叶混交林原始林、桦木次生林和马尾松人工林)和降水减少处理状况下森林土壤CO₂、CH₄和N₂O通量排放特征, 并探讨了其环境驱动机制。研究结果表明: 原始林土壤CH₄吸收通量显著高于次生林和人工林, 次生林CH₄吸收通量显著高于人工林土壤。人工林土壤CO₂排放通量显著高于原始林和次生林土壤。次生林土壤N₂O排放通量高于原始林和人工林, 但三者间差异不显著。降水减半显著抑制了3种不同土地利用方式下林地土壤CH₄吸收通量; 降水减半处理对原始林和次生林土壤CO₂排放通量均具有显著的促进作用, 而对人工林土壤CO₂排放通量具有显著的抑制作用; 降水减半处理促进了原始林和人工林林地土壤N₂O排放而抑制了次生林林地土壤N₂O排放。原始林和次生林林地土壤CH₄吸收通量随土壤温度升高显著增加, CH₄吸收通量与土壤温度均呈显著相关关系; 原始林、次生林和人工林土壤CO₂和N₂O排放通量与土壤温度均呈显著正相关关系; 土壤湿度抑制了次生林和人工林土壤CH₄吸收通量, 其CH₄吸收通量随土壤湿度增加显著减少; 原始林土壤CO₂排放通量与土壤湿度呈显著正相关关系。自然状态下, 原始林土壤N₂O排放通量与土壤湿度呈显著正相关关系, 原始林和次生林土壤N₂O排放通量与硝态氮含量呈显著相关关系。研究结果表明全球气候变化(如降水变化)和土地利用方式的转变将对北亚热带森林林地土壤温室气体排放通量产生显著的影响。     

Greenhouse gas fluxes of typical northern subtropical forest soils: Impacts of land use change and reduced precipitation

Aims It is important to study the effects of land use change and reduced precipitation on greenhouse gas fluxes (CO₂, CH₄ and N₂O) of forest soils. Methods The fluxes of CO₂, CH₄ and N₂O and their responses to environmental factors of primary forest soil, secondary forest soil and artificial forest soil under a reduced precipitation regime were explored using the static chamber and gas chromatography methods during the period from January to December in 2014. Important findings Results indicate that CH₄ uptake of primary forest soil ((-44.43 ± 8.73) μg C·m^-2·h^-1) was significantly higher than that of the secondary forest soil ((-21.64 ± 4.86) μg C·m^-2·h^-1) and the artificial forest soil ((-10.52 ± 2.11) μg C·m^-2·h^-1). CH₄ uptake of the secondary forest soil ((-21.64 ± 4.86) μg C·m^-2·h^-1) was significantly higher than that of the artificial forest ((-10.52 ± 2.11) μg C·m^-2·h^-1). CO₂ emissions of the artificial forest soil ((106.53 ± 19.33) μg C·m^-2·h^-1) were significantly higher than that of the primary forest soil ((49.50 ± 8.16) μg C·m^-2·h^-1) and the secondary forest soil ((63.50 ± 5.35) μg C·m^-2·h^-1) (p < 0.01). N₂O emissions of the secondary forest soil ((1.91 ± 1.22) μg N·m^-2·h^-1) were higher than that of the primary forest soil ((1.40 ± 0.28) μg N·m^-2·h^-1) and the artificial forest soil ((1.01 ± 0.86) μg N·m^-2·h^-1). Reduced precipitation (-50%) had a significant inhibitory effect on CH₄ uptake of the artificial forest soil, while it enhanced CO₂ emissions of the primary forest soil and the secondary forest soil. Reduced precipitation had a significant inhibitory effect on CO₂ emissions of the artificial forest soil and N₂O emissions of the secondary forest (p < 0.01). Reduced precipitation promotes N₂O emissions of the primary forest soil and the artificial forest soil. CH₄ uptake of the primary forest and the secondary forest soil increased significantly with the increase of soil temperature under natural and reduced precipitation. CO₂ and N₂O emission fluxes of the primary forest soil, secondary forest soil and artificial forest soil were positively correlated with soil temperature (p < 0.05). Soil moisture inhibited CH₄ uptake of the secondary forest soil and the artificial forest soil (p < 0.05). CO₂ emissions of the primary forest soil were significantly positively correlated with soil moisture (p < 0.05). N₂O emissions of primary forest soil and secondary forest soil were significantly correlated with the nitrate nitrogen content (p < 0.05). It was implied that reduced precipitation and land use change would have significant effects on greenhouse gas emissions of subtropical forest soils.     

气象因子对宁夏枸杞果实生长及多糖含量的影响

选取宁夏枸杞(Lycium barbarum)主产区银川、白银和德令哈三地5年生宁杞1号为实验材料,探讨各地枸杞果实(横径、纵径和百粒重)生长及多糖含量与主要气象因子之间的关系,并建立回归模型。结果表明:三地果实生长类型均属双"S"型,即包括第1次快速生长期、缓慢生长期和第2次快速生长期;各产区宁夏枸杞的果实在不同生长期的发育时间和整个生长期的时间均存在差异。三产地枸杞果实的发育过程中,多糖含量始终呈现银川白银德令哈的趋势。多糖含量随枸杞果实发育成熟度的增加而升高,表现为缓慢升高和快速升高2个阶段。平均气温和平均昼夜温差是影响枸杞果实生长发育的主导气象因子。枸杞果实的整个发育过程中,银川地区枸杞果实的横、纵径和百粒重的增长首先随平均气温的升高而增加,分别达到23.71°C、23.93°C和23.55°C时最大,之后随着温度的增加而减小;白银地区枸杞果实横、纵径和百粒重一直随平均气温的增加而增加,到温度分别为22.99°C、22.16°C和21.35°C时接近最大;德令哈枸杞果实横、纵径和百粒重一直随平均气温的增加而增加,直到平均温度分别为19.55°C、21.01°C和20.64°C时接近最大。