共查询到19条相似文献，搜索用时 93 毫秒
1.
多年冻土区河流中溶解性有机碳（DOC）的输出对全球碳循环有着重要贡献，是全球气候变化研究的热点。当前研究主要集中在2个方面:多年冻土区河流DOC输出的时空特征及其影响因素；多年冻土区河流DOC输出对气候变暖和冻土退化的响应。研究表明，河流中DOC的浓度、通量、化学组分等主要受流域内水的流动路径、滞留时间及路径上潜在DOC源的特征控制，而多年冻土的分布及其季节性融冻循环对上述因素有显著影响，进而控制多年冻土区河流DOC的输出规律。气候变暖可从3个方面对多年冻土区河流DOC输出产生影响:①造成多年冻土退化，使地下水的流动路径变深和滞留时间增长，导致河流的DOC输出量降低；②使多年冻土中储存的老有机碳释放，导致河流的DOC输出量增高；③改善深部土壤的通气和温度条件，促进土壤微生物活性，进而影响河流DOC的输出量和化学特征。今后，有3个方面的研究需要加强:①中、低纬度高海拔冻土区河流DOC的输出规律及其与流域水文过程的关系；②小型源头河流DOC输出的对比与控制性试验；③冻土区地下水流过程的精细刻画和潜在有机碳源的直接探测。 相似文献
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滨海平原弱透水层广布且多赋存古咸水，其盐度分布及运移过程深刻影响着含水层地下水的演变，却得到甚少关注。采集了江苏滨海区7个浅层钻孔弱透水层原状样品，压榨法收集孔隙水。利用孔隙水天然示踪剂ρ（Cl-），ρ（Br-）剖面和数值模拟分析了弱透水层孔隙水盐度特征和运移机制。得出浅层孔隙水ρ（Cl-）垂向剖面存在2个趋势:①峰值在表层，沿深度逐渐下降；②峰值在深度25m左右，向两端浓度降低。孔隙水ρ（Cl-）为486.2~38 036.7 mg/L，Cl/Br比值为72~360（均值241）。ρ（Cl-）与Cl/Br比值关系及剖面分布说明孔隙咸水为海相成因，来自于全新世海侵时期的古海水，并受到后期淡水的稀释。弱透水层孔隙水一维垂向运移数值模型表明海侵-海退事件控制了海岸带弱透水层孔隙水的盐度演变，全新世古海水仍封存在沉积物中，更新世时期的海水已被驱替。孔隙水运移以扩散为主，垂向运移速率为0.43~15.8 mm/Ma。在相对高渗透性的粉砂地层中，可能还受到侧向对流的影响。弱透水层中古海咸水的重新分布，尤其在地下水超采条件下，可能成为地下水的重要咸化来源。 相似文献
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为了阐明喀斯特水库对河流水体碳循环造成的影响, 总结了近年来喀斯特流域筑坝作用对不同形态碳迁移转化和环境影响的研究进展。通过光谱学、稳定及放射性同位素等手段等对喀斯特地区河流-水库系统中的溶解无机碳(DIC)、溶解有机碳(DOC)、颗粒无机碳(PIC)和颗粒有机碳(POC)迁移转化及其控制机制的研究, 发现喀斯特水库碳循环展现出明显的季节性分布特征以及梯级水库群可能会进一步放大单个水库的生态效应, 这一结果不仅极大地促进了人们对水库碳循环的认识, 还有利于探索河流碳循环中"遗失"的碳汇以及更加准确的评估岩溶水库在全球河流碳循环中扮演的角色。喀斯特水库相比非喀斯特水库对人为活动加剧的影响可能具有更强的响应强度, 这也意味着喀斯特水库在全球变暖的趋势中发挥的作用需要得到更准确的评估, 而在未来的研究中, 通过不同分析手段从微观到宏观系统性的总结不同形态碳迁移转化特点将更准确的回答该问题。 相似文献
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全球气候变暖问题是人类面临的最艰巨的挑战之一,通过先进的面向对象分类方法可以提高碳排放与碳汇能力的研究水平,对于控制区域气候变化具有推动作用。本文利用面向对象分类方法,以广西百色市右江区为研究区域,选取Landsat 8 OLI和Google Earth影像数据提取区域地物信息,并针对研究区地势复杂的特点,采用设置多种尺度参数的方法,选取最优尺度进行影像分割。同时,引入隶属度函数法、最邻近分类法和CART决策树分类器3种方法,基于影像光谱差异、几何形状、对象纹理等特征,逐层逐级地实施面向对象分类,随后加以针对性的精度评价分析并检验分类结果。通过总结分析前人的地物碳系数转换关系并结合高精度面向对象分类结果,构建了基于土地覆被类型的碳收支能力估算模型,并根据已有的基于CASA模型的碳收支能力估算方法加以精度校验,最终估算出右江区碳收支能力为-399.64万t。此外,本文结合右江区行政区划、人口分布、DEM等相关数据对区域碳收支能力进行了专题性剖析。结果表明,面向对象分类方法是研究小区域碳收支能力的有效途径,在区域碳循环评估中具有更好的准确性和预见性,有效促进碳收支平衡研究领域的发展。 相似文献
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基于反射峰面积的水体叶绿素遥感反演模拟研究 总被引：1，自引：0，他引：1
叶绿素浓度是水体富营养化状态的重要指标,也是水色遥感反演的水质参数之一。水体中叶绿素浓度的遥感反演主要是建立实测光谱和实测水质参数二者之间的关系模型,利用遥感影像进行叶绿素浓度的信息提取。传统的叶绿素浓度遥感反演受区域性和季节性的影响,反演精度不高,而且反演模型不具普适性,需对叶绿素光谱特征进行分析,建立高精度的反演模型。本文采用Hydrolight数据模拟了不同叶绿素浓度(1~200 µg·L-1)的水体在可见光近红外的反射波谱曲线,通过分析叶绿素的光谱特征选取了特征波段或波段组合,并建立了叶绿素浓度反演模型。研究表明,除反射峰波长模型外,反射峰面积模型、三波段模型、红光线高度模型等均能较好地反演叶绿素浓度。在不同叶绿素反演模型中,除红光线模型外,最优的是反射峰面积模型,其决定系数为0.9689,反演误差为25.25 µg·L-1;其次是三波段模型,其决定系数为0.9637,反演误差为10.66 µg·L-1。究其原因,三波段模型考虑了水体中非色素悬浮物、黄色物质及水体后向散射对叶绿素浓度反演造成的影响;反射峰面积模型除此之外还综合考虑了叶绿素散射效率的影响。 相似文献
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通过采集江汉平原沙湖原种场典型高砷地下水区的２７个地下水样品、６个地表水样品和不同深度的沉积物样品，采用 Ｘ射线荧光光谱、离子色谱、ＴＯＣ分析仪以及沉积物平行提取方法对该区含水层的水化学特征以及沉积物的地球化学特征进行了分析。结果表明:该区地下水水化学类型主要为 ＨＣＯ３－Ｃａ·Ｍｇ型，属中性偏弱碱性水；氧化还原电位较负，ＮＨ＋４ －Ｎ、ＨＳ－ 和 Ｆｅ（Ⅱ）质量浓度较高，指示地下水的强还原环境；地 下 水 Ａｓ质 量 浓 度平均值为７４．３９μｇ／Ｌ，最大值达５８０．７７μｇ／Ｌ，出现在地面以下２５ｍ 位置，且 Ａｓ（Ⅲ）质量浓度普遍高于 Ａｓ（Ｖ）。随深度增加，沉积物中 ｗ（Ａｓ）呈先增加后减小的趋势，在１７．４ｍ（黏 土层）深度处达到最大（２１．１５ｍｇ／ｋｇ），且ｗ（Ａｓ）随深度的变化与沉积物中 ＴＯＣ、Ｆｅ２Ｏ３、Ａｌ２Ｏ３ 质量分数以及沉积物比表面积随深度的变化呈现相同的趋势，采用ＳＰＳＳ软件经相关分析亦表明 Ａｓ与 ＴＯＣ、Ｆｅ２Ｏ３、Ａｌ２Ｏ３ 和比表面积具有较强的相关关系，相关系数分别为０．７０，０．６８，０．７０，０．６７，揭示砷在富含有机质、铁铝氧化物及比表面积大的黏土层沉积物中更易富集。沉积物平行提取实验结果表明，江汉平原沉积物中的砷主要以强结晶态铁氧化物、溶解态硫化物和反应性硅酸盐的形式存在。 相似文献
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及时、准确地获取农作物种植信息,对于农业生产管理和国家粮食安全有重要意义。目前越来越多的免费卫星数据可以用于作物分类及生理参数反演。Sentinel-2卫星于2015年6月发射,提供了13个光谱波段,具有较高的时间分辨率、空间分辨率和光谱分辨率,为不同作物特征区分以及大范围作物种植面积快速提取业务化运行的精度与效率提高带来了契机。随着Sentinel-2数据的免费下载,这就为大面积生产下一代区域或者国家尺度的高分辨率（10~30 m）农情遥感产品提供了可能。物候信息包含了作物随着季节不断变化的特征,利用如NDVI等时间序列植被指数找出不同作物的特征进而开展作物分类得到了广泛应用。本文以油菜为主要研究对象,以长江中下游地区的江汉平原为实验区,基于作物物候差异与面向对象决策树的方法,对Sentinel-2卫星影像用于油菜种植区提取的效果进行了评估与分析。首先利用作物不同生长时期各波段光谱信息以及归一化植被指数等信息的差异分析并找出油菜种植区提取的最佳时相,然后对影像进行多尺度分割,根据对象特征建立决策树逐一去除非植被、林地等干扰类型,进而提取出油菜种植区域。通过分析发现,基于Sentinel-2影像的图像分割可以有效生成不同作物类型的对象;油菜开花期的特征是其区分于其他作物的关键因素,利用该特征可以有效消除分类时其他地物类型对油菜的影响,提高作物分类信息提取的精度和效率。研究表明：在区分油菜的决策树分类特征信息中,贡献最大的是归一化植被指数（NDVI）,近红外波段（NIR）和亮度（Brightness）信息。用162个油菜验证样本点计算混淆矩阵,油菜种植面积提取的总体分类精度为98%以上,Kappa系数为0.95。说明结合物候信息利用Sentinel-2数据进行大范围作物种植面积提取具有巨大潜力,可以提高大范围油菜种植区域快速提取的精度和效率。 相似文献
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碳酸盐岩风化是全球碳循环的重要组成部分, 具有大气与土壤CO2汇效应, 受生态系统因子驱动与全球变化影响, 岩溶地区碳汇具有地表和地下双碳汇特征。简要介绍岩溶碳循环与全球变化关系, 论述岩溶碳汇的相关科学问题和主要进展, 分析岩溶增汇潜力与土地利用变化, 进一步提出基于岩溶关键带理念的碳酸盐岩风化过程概念模型。碳酸盐岩风化产生的碳汇可能是全球碳循环"遗漏碳汇"的贡献者, 同时具有缓解土壤CO2向大气释放的作用, 进而成为全球碳循环模型中"土地利用变化项"(E LUC)的重要调节者(减源效应)。碳酸盐岩风化过程能快速响应短时间尺度变化环境因子, 是岩溶关键带中连接生物、水文与地球化学过程的核心驱动机制。岩溶碳循环可理解为是土壤-生态系统碳循环的延伸或横向组成部分, 共同组成岩溶地区完整的陆地浅表层碳循环系统。碳酸盐岩风化对大气CO2浓度上升的负反馈效应, 石漠化治理与生态修复工程的持续推进, 蕴藏着巨大的岩溶固碳增汇潜力。应加强土壤CO2季节及其区域变化监测与研究, 构建基于土壤CO2与流域水化学指标相关性的反向模型, 为估算区域碳汇本底、评估年际碳汇增量与潜力提供更加清晰且有效的岩溶增汇方案与途径。 相似文献
9.
干热岩具有利用率高、无污染、储量巨大、分布较广、持续稳定、安全性好等特点,被全球公认为在21世纪能够取代化石能源的一种最优质的、可再生的新型清洁能源。目前对于干热岩的成因机理还没有定论,而对于干热岩的勘探寻找、远景区的圈定以及资源评价也有不同的观点,为了有利于干热岩勘探开发,本文在综述前人研究工作基础上,总结归纳了干热岩勘查评价指标,几个重要的指标及其特征如下。第一个指标是岩石圈厚度和莫霍面埋深,岩石圈厚度较小并且莫霍面埋深比较浅,是评价干热岩远景区的一个重要指标。莫霍面埋深较浅指示深部热源（幔源热）更加接近地表,故埋深较浅（较薄的厚度）并具有上隆的特征有利于深部的热量向上传导,为干热岩的孕热环境提供良好的条件。第二个指标是居里等温面,埋深较浅的居里等温面是干热岩远景区一个重要的评价指标。居里等温面是地球内部一个非常特殊的温度（热物质）界面,它不仅能指示地下温度场的分布特征,还可指示地壳深部热能分布特征,对干热岩及地震的成因研究具有十分重要的意义;如果居里面埋深较浅,则热量传导到地表的距离比较短,深部的热流活动更容易向地表传送,不仅是有利的高温干热岩孕热环境,也有利于储存的热能快速向上传导。第三个指标为地温梯度,地温梯度较大是寻找干热岩远景区的一个重要指标;如果一个地区具有较高的地温梯度（≥ 35℃/km）,则随着深度的增加深部的地温增加较快,在相对较浅的地方就可以获得温度较高的岩石体。第四个指标是大地热流,大地热流值较大（≥ 75 mW/m2）就指示地球深部有存在高温岩石体的可能;大地热流是地温场的综合性热参数,能够准确地反映区域内的地温场特征。第五个指标是新构造运动,这也是人们寻找干热岩时容易忽略的一个重要指标。新构造运动包括火山、地震及活动断裂构造等。地震和火山是极具破坏性的自然灾害,两者的发生都表明了地球内部的热能汇聚到一定程度,从而打破了地球内部平衡状态而以地震或火山的形式把热量进行释放的地球系统行为。该指标中,如地震震级大（>3级）、震源深度浅（10~15 km）、频度大,火山活动时间新（活火山、休眠火山、中新世以来的死火山）规模大都说明地球深部存在不稳定的高热状态,易形成干热岩;如果能提前找到该区域的干热岩,可以先取出其中的热,那么地震和火山就有可能不会发生,这样可以达到取热减灾减排的作用。活动的深大断裂即能产生一部分热,也能将深部的热传输到浅部,尤其是活动性强的走滑拉张断裂,其深部具有韧性剪切特征,直接指示了深部的高温体的存在。第六个指标是高温温泉与气田等。温泉、气田的形成通常与深部的热储关系密切,一般认为地下水沿某个通道向下渗透接触到深部高温热储被加热后再沿某一通道流出地表而形成温泉;所以,温泉的出露指示了深部存在高温的岩石体（干热岩）;区域地温场异常明显,地表热泉等高温水热型地热田较密集的区域有望在深部寻找到干热岩,这也是一种就热（水热）找热（干热）的常规方法。作为固体矿产资源的干热岩,其形成具备四个必要条件:源、通、储、盖。第一个条件是要有丰富的动态热源如来源于深部地幔（幔源热）,来源于晚新生代活动的控热构造系统-活动的韧性剪切带,来源于地壳内的低速低阻体（中下地壳热）以及来源于高放射性中新生代花岗岩体（壳源热）。第二个条件是要有优良的导热通道,如壳内15~25 km低速层不仅是热源,同时具有将深部地幔热能向上传导的作用;软流圈地幔上隆时具活动性的深大断裂（深部具韧性特征、浅部具脆性特征）常常具有很好的导热功能;地壳浅表层次的脆性断裂系统往往不是干热岩的热通道,而是水热型地热能的导水、释热构造。第三个条件是要有巨大的储热岩石体,除埋深要适中（3~6 km）并具有较高温度（≥150℃）外,其规模要大（蕴含丰富的热能）,热导率大（>2 W/mK）,裂隙少（不含水或含少量不流动的水）;当然热储层可以是变质岩、岩浆岩,也可以为沉积岩。第四个条件是要有良好的保热盖层,盖层（被子）导热率低（< 2 W/mK）、厚度适中（>1 km）（具有良好的保温效果）,地温梯度高（≥40℃/km）、大地热流值高（≥70 mW/m2）（指示深部存在高温特征）是深部赋存有高温地热资源的必要条件。 相似文献
10.
森林碳蓄积量估算方法及其应用分析 总被引：7，自引：0，他引：7
近些年来,森林锐减、土地退化、环境污染、生物多样性丧失,特别是人类活动产生的C02浓度急剧上升和由此导致的温室效应等是目前人类面临最严峻的全球环境变化问题,所以全球碳循环问题日益成为全球变化与地球科学研究领域的前沿与热点问题,其中陆地生态系统碳循环又是全球碳循环中最复杂、受人类活动影响最大的部分。而森林生物量占整个陆地生态系统生物量的90%,因此,为了正确评估森林在全球碳平衡中的作用,了解森林生态系统在碳循环中的作用,森林的碳动态研究正日益成为人们关注的重点。本文总结了估算森林固碳量的几种方法--样地清查法、模型模拟法和遥感估算法,分析了它们的特点及应用等有关问题。 相似文献
11.
Based on the results of the National Survey of Peat Resources(1983-1985) and the investigation results on the peatlands of China,the storage and density of the organic carbon in the peatlands of China were estimated.The total organic carbon storage(OCS) of the peatlands in China,including bare peatlands and buried peatlands,are 1.503 × 109 t,unevenly distributed over 30 provincial level administrative units and 16 climatic zones.Peatland organic carbon storage(POCS) in Sichuan(6.45 × 108 t) and Yunnan provinces(2.91 × 108 t) is the highest,accounting for 62.29% of the total POCS.Humid zone of plateau has the highest POCS of 7.14 × 108 t,especially in the Zoigê Plateau,where the POCS is 6.30 × 108 t,accounting for 41.92% of the total POCS of China.The organic carbon density(OCD) of the peatlands in China mostly ranges from 80 kg/m3 to 140 kg/m3,and the range of the maximum is 270-360 kg/m3,and the minimum is less than 80 kg/m3.Divided by the Yanshan Mountain,Taihang Mountains and Hengduan Mountains,the peatland oganic carbon density(POCD) is lower on the northwestern side than that on the southeastern side.Jiangxi Province has the highest POCD due to the ancient buried peatlands.The OCD of the bare peatlands is mostly in the range of 60-150 kg/m3,and that of the buried peatlands is more than 100 kg/m3.In the bare peatlands,the OCD generally increases from the surface layer to the below surface layer,and then decreases with the depth.Although the peatlands area in China is small,the OCS per unit area is far higher than the other soil types,so peatlands protection can effectively mitigate climate change. 相似文献
12.
Inspired by the importance of Redfield-type C:N:P ratios in global soils,we looked for analogous patterns in peatlands and aimed at deciphering the potential affecting factors.By analyzing a suite of peatlands soil data(n = 1031),mean soil organic carbon(SOC),total nitrogen(TN) and total phosphorous(TP) contents were 50.51%,1.45% and 0.13%,respectively,while average C:N,C:P and N:P ratios were 26.72,1186.00 and 46.58,respectively.C:N ratios showed smaller variations across different vegetation coverage and had less spatial heterogeneity than C:P and N:P ratios.No consistent C:N:P ratio,though with a general value of 1245:47:1,was found for entire peatland soils in China.The Northeast China,Tibet,Zoigê Plateau and parts of Xinjiang had high soil SOC,TN,TP,and C:P ratio.Qinghai,parts of the lower reaches of the Yangtze River,and the coast zones have low TP and N:P ratio.Significant differences for SOC,TN,TP,C:N,C:P and N:P ratios were observed across groups categorized by predominant vegetation.Moisture,temperature and precipitation all closely related to SOC,TN,TP and their pairwise ratios.The hydrothermal coefficient(RH),defined as annual average precipitation divided by temperature,positively and significantly related to C:N,C:P and N:P ratios,implying that ongoing climate change may prejudice peatlands as carbon sinks during the past 50 years in China. 相似文献
13.
Investigation of dissolved organic carbon (DOC) and particulate organic carbon (POC) at 12 stations in Yantal Sishili Bay in May, August, and November of 1997 and March and May of 1998 showed that DOC concentrations varied from 1.14 mg/L to 5.35 mg/L; that the average values at all staticrLs ineach entise varied from 1.52 mg/L to 2.12 mg/L; that POC concentrafions varied from 0.049 mg/L to 1.411mg/L; and averaged 0.159 mg/L to 0.631 mg/L in each cruise. Horizontal distribution of DOC was influ-enced by factors such as continental input, organism activity, temperature, aquieulture environment, etc. The higher POC concentration occurred along the coast. The vertical distribution of DOC and POC changed obviously in spring and summer, but not obviously in autumn and winter. DOC concentration was highest in summer and POC in spring; both were lowest in winter. The seasonal change of DOC was con-sistent with primary productivity seasonal variation, and that of POC was consistent with ehlorophyll-a sea-sanal variation. The seasonal change trend of the C/N ratio of dissolved organic matter was obvious, but the C/N ratio of particulate organic matter had no such trend. 相似文献
14.
Marine macroalgae can absorb carbon and play an important role in carbon sequestration. As an important economic macroalga, Gracilariopsis lemaneiformis has the potential to significantly affect carbon absorption and storage in wave-sheltered intertidal reef systems. However, detailed knowledge on seasonal biomass changes and carbon storage of G. lemaneiformis is lacking, especially in many small and scattered ecosystems. Considering the influence of human activities on wild distribution of G. lemaneiformis, the understanding of seasonal dynamics of an economically important species in nature is necessary. In this study, we first investigated seasonal variations in biomass, coverage area, and carbon storage during low tide from August 2011 to July 2012 in Zhanshan Bay, Qingdao, China. Furthermore, we estimated the carbon storage potential of wild G. lemaneiformis using light use efficiency(LUE). The results show that the standing biomass and coverage area changed significantly with season. However, seasonal variations in carbon content and water content were not obvious, with an average content of 35.1% and 83.64%, respectively. Moreover, carbon storage in individual months varied between 0.67 and 47.03 g C/m 2, and the value of carbon storage was the highest in August and June and the lowest in February. In Zhanshan Bay, LUE of G. lemaneiformis was only 0.23%. If it is increased to the theoretical maximum(5%–6%), the carbon storage will have an increase of at least 21 times compared with the current, which suggested that carbon storage of wild G. lemaneiformis had a high enhancement potential. The study will help to assess a potential role of G. lemaneiformis in reducing atmospheric CO2. 相似文献
15.
Oskar Bojko Cezary Kabala Łukasz Mendyk Maciej Markiewicz Magdalena Pagacz-Kostrzewa Bartłomiej Glina 《山地科学学报》2017,14(12):2391-2405
Global and local climate changes could disturb carbon sequestration and carbon stocks in forest soils. Thus, it is important to characterize the stability of soil organic matter and the dynamics of soil organic carbon (SOC) fractions in forest ecosystems. This study had two aims: (1) to evaluate the effects of altitude and vegetation on the content of labile and stabile forms of organic carbon in the mountain soils; and (2) to assess the impact of the properties of soil organic matter on the SOC pools under changing environmental conditions. The studies were conducted in the Karkonosze Mountains (SW Poland, Central Europe). The content of the most labile fraction of carbon (dissolved organic carbon, DOC) decreases with altitude, but the content of fulvic acids (FA), clearly increases in the zone above 1000 m asl, while the stabile fraction (humins, non-hydrolyzing carbon) significantly decreases. A higher contribution of stabile forms was found in soils under coniferous forests (Norway spruce), while a smaller - under deciduous forests (European beech) and on grasslands. The expected climate change and the ongoing land use transformations in the zone above 1000 m asl may lead to a substantial increase in the stable humus fraction (mainly of a non-hydrolyzing carbon) and an increase in the SOC pools, even if humus acids are characterized by a lower maturity and greater mobility favorable to soil podzolization. In the lower zone (below 1000 m asl), a decrease in the most stable humus forms can be expected, accompanied by an increase of DOC contribution, which will result in a reduction in SOC pools. Overall, the expected prevailing (spatial) effect is a decreasing contribution of the most stable humus fractions, which will be associated with a reduction in the SOC pools in medium-high mountains of temperate zone of Central Europe. 相似文献
16.
Zhen Tao Quanzhou Gao Wenping Guo Zhengang Wang Yongling Zhang Chenji Xie Xiakun Huang Hongwei Zhong 《山地科学学报》2011,8(5):694-703
A whole year analysis of riverine dissolved organic carbon (DOC) concentrations in the Xijiang River (XJR), South China, showed that the mean riverine DOC concentration (1.24 mg L-1) in the XJR was notably lower than the averaged value (5.75 mg L-1) of the global riverine DOC concentration in several major rivers. There is an inconspicuous monthly fluctuation of the DOC signal in the XJR, but on a semi-yearly time scale, however, the riverine DOC concentration had significant difference between hydrological... 相似文献
17.
To examine the effects of microtopography on the stoichiometry of carbon(C), nitrogen(N) and phosphorus(P) in mosses along the hummock-hollow gradient in boreal peatlands, we investigated species-level C?N, C?P and N?P ratios of five mosses(Sphagnum magellanicum, S. perichaetiale, S. palustre, S. girgensohnii and Aulacomnium palustre) in the hummocks, hollows and their intermediate zones, and then assessed community-level spatial patterns in a boreal ombrotrophic peatland of north of the Great Xing'an Mountain, Northeast China. The results show that at the species level, C?N, C?P and N?P ratios of the selected Sphagnum mosses remained stable in the hummock-hollow complexes due to unchanged C, N and P concentrations, whereas the non-Sphagnum moss(A. palustre) in the hummocks and intermediate zones had lower P concentrations and thus greater C?P ratios than that in the hollows. At the community level, moss N concentration and C?N ratio remained constant along the hummock-hollow gradient, whereas hummocks and intermediate zones had higher community-level moss C?P and N?P ratios than hollows because of greater C and lower P concentrations. These findings imply that the effects of microtopography on moss C?N?P stoichiometry are scale-dependent and reveal spatial heterogeneity in C and nutrient dynamics. These results provide a more comprehensive understanding of biogeochemical cycles in boreal peatlands. 相似文献
18.
【Title】
There are knowledge gaps in our understanding of vegetation responses to multi-scale climate-related variables in tropical/subtropical mountainous islands in the Asia-Pacific region. Therefore, this study investigated inter-annual vegetation dynamics and regular/irregular climate patterns in Taiwan. We applied principal component analysis （PCA） on 11 years （2001~2011） of high-dimensional monthly photosynthetically active vegetation cover （PV） derived from the Moderate Resolution Imaging Spectroradiometer （MODIS） and investigated the relationships between spatiotemporal patterns of the eigenvectors and loadings of each component through time and multi-scale climate-related variations. Results showed that the first five components contributed to 96.4% of the total variance. The first component （PC1, explaining 94.5% of variance） loadings, as expected, were significantly correlated with the temporal dynamics of the PV （r = 0.94）, which was mainly governed by regional climate. The temporal loadings of PC2 and PC3 （0.8% and 0.6% of variance, respectively） were significantly correlated with the temporal dynamics of the PV of forests （r = 0.72） and the farmlands （r = 0.80）, respectively. The low-order components （PC4 and PC5, 0.3% and 0.2% of variance, respectively） were closely related to the occurrence of drought （r = 0.49） and to irregular ENSO associated climate anomalies （r = -0.54）, respectively. Pronounced correlations were also observed between PC5 and the Southern Oscillation Index （SOI） with one to three months of time lags （r = -0.35 ~ -0.43, respectively）, revealing biophysical memory effects on the time-series pattern of the vegetation through ENSO-related rainfall patterns. Our findings reveal that the sensitivity of the ecosystems in this tropical/subtropical mountainous island may not only be regulated by regional climate and human activities but also be susceptible to large-scale climate anomalies which are crucial and comparable to previous large scale analyses. This study demonstrates that PCA can be an effective tool for analyzing seasonal and inter-annual variability of vegetation dynamics across this tropical/subtropical mountainous islandin the Pacific Ocean, which provides an opportunity to forecast the responses and feedbacks of terrestrial environments to future climate scenarios. 相似文献
There are knowledge gaps in our understanding of vegetation responses to multi-scale climate-related variables in tropical/subtropical mountainous islands in the Asia-Pacific region. Therefore, this study investigated inter-annual vegetation dynamics and regular/irregular climate patterns in Taiwan. We applied principal component analysis （PCA） on 11 years （2001~2011） of high-dimensional monthly photosynthetically active vegetation cover （PV） derived from the Moderate Resolution Imaging Spectroradiometer （MODIS） and investigated the relationships between spatiotemporal patterns of the eigenvectors and loadings of each component through time and multi-scale climate-related variations. Results showed that the first five components contributed to 96.4% of the total variance. The first component （PC1, explaining 94.5% of variance） loadings, as expected, were significantly correlated with the temporal dynamics of the PV （r = 0.94）, which was mainly governed by regional climate. The temporal loadings of PC2 and PC3 （0.8% and 0.6% of variance, respectively） were significantly correlated with the temporal dynamics of the PV of forests （r = 0.72） and the farmlands （r = 0.80）, respectively. The low-order components （PC4 and PC5, 0.3% and 0.2% of variance, respectively） were closely related to the occurrence of drought （r = 0.49） and to irregular ENSO associated climate anomalies （r = -0.54）, respectively. Pronounced correlations were also observed between PC5 and the Southern Oscillation Index （SOI） with one to three months of time lags （r = -0.35 ~ -0.43, respectively）, revealing biophysical memory effects on the time-series pattern of the vegetation through ENSO-related rainfall patterns. Our findings reveal that the sensitivity of the ecosystems in this tropical/subtropical mountainous island may not only be regulated by regional climate and human activities but also be susceptible to large-scale climate anomalies which are crucial and comparable to previous large scale analyses. This study demonstrates that PCA can be an effective tool for analyzing seasonal and inter-annual variability of vegetation dynamics across this tropical/subtropical mountainous islandin the Pacific Ocean, which provides an opportunity to forecast the responses and feedbacks of terrestrial environments to future climate scenarios. 相似文献
19.
Effects of seasonal variation on soil microbial community structure and enzyme activity in a Masson pine forest in Southwest China 总被引：1，自引：0，他引：1
《山地科学学报》2020,17(6):1398-1409
Soil microbial communities and enzyme activities play key roles in soil ecosystems. Both are sensitive to changes in environmental factors,including seasonal temperature, precipitation variations and soil properties. To understand the interactive mechanisms of seasonal changes that affect soil microbial communities and enzyme activities in a subtropical masson pine(Pinus massoniana) forest, we investigated the soil microbial community structure and enzyme activities to identify the effect of seasonal changes on the soil microbial community for two years in Jinyun Mountain National Nature Reserve, Chongqing, China. The soil microbial community structure was investigated using phospholipid fatty acids(PLFAs). The results indicated that a total of 36 different PLFAs were identified, and 16:0 was found in the highest proportions in the four seasons, moreover, the total PLFAs abundance were highest in spring and lowest in winter. Bacteria and actinomycetes were the dominant types in the study area. Seasonal changes also had a significant(P 0.05) influence on the soil enzyme activity. The maximum and minimum values of the invertase and catalase activities were observed in autumn and winter, respectively. However, the maximum and minimum values of the urease and phosphatase acid enzymatic activities were found in spring and winter, respectively. Canonical correspondence analysis(CCA) analysis revealed that the seasonal shifts in soil community composition and enzyme activities were relatively more sensitive to soil moisture and temperature, but the microbial community structure and enzyme activity were not correlated with soil pH in the study region. This study highlights how the seasonal variations affect the microbial community and function(enzyme activity)to better understand and predict microbial responses to future climate regimes in subtropical area. 相似文献