Response of soil respiration to simulated N deposition in a disturbed and a rehabilitated

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Response of Grassland Biomass to Soil Moisture in

Response of Grassland Biomass to Soil Moisture in

Response of Grassland Biomass to Soil Moisture in the Arid Mountainous Area of the Qilian MountainsW A N G Shunli1, W A N G Rongxin1, JING W enm ao1, ZHAO W eijun1, N IU Yun1, M A Jian1, ZH U Hong2(1. Academy of Water Resources Conservation Forest of Qilian Mountains of Gansu Province, Zhangye, Gansu 734000, China; 2. Northwest Research Institute of Mining and Metallurgy, Baiying, Gansu 730900, China)Journal of Landscape Research 2018,10(1): 77-82Abstract The Pallugou watershed o f the Qilian Mountains in the arid region o f nortiieast China wasselected for research to analyze the species, height, and biomass in typical mountain grassland with an altitude o f 2,700-3,000 m and measure soil moisture, so as to explore the seasonal chatacteiistics of grassland biomass as altitude increases and the felationship between grassland biomass and soil moisture. The results showed that (1) with a mean value o f 135.36 g/m 2, grassland aboveground- biomass showed a unimodal distribution from tise to decline as altitude increased, and reached its maximum o f 176.79 土 28.37 g/m 2 at an altitude o f 2,900 m; with a mean value o f 946.13 g/m 2, grassland underground biomass showed an uptrend as altitude increased^ and reached its maximum of 1,301.19 土 68.24 g/m 2 at an altitude o f 3,000 m; (2) the difference between abovegtound biomass and underground biomass in the grassland at different altitudes was significant; (3) values o f foot shoot ratio o f the arid mountain grassland varied between 4.14—11.95; (4) values o f soil moisture content o f the arid mountain grassland yaned between 9.23%-31.31%; (5) there was a positive correlation between aboveground biomass and mderground biomass and the mean soil moisture content (p < 0.05), with a correlation coefficient of 0.778 4 and 0.784 3respectively, soil layers with different moisture content made different contributions to grassland biomass, and moisture content in the soil layer where ovet-60-cm root systems were located was of significance to grassland biomass.Keywords Mountain giassknd, Biomass, Soil moistute, Qilian Mountains DOI 10.16785/jissn 1943-989x.2018.1.016T he Q ilia n M o u ntains, lo cated on the northeastern edge o f the Q inghai-Tibet Plateau, are a “w et island” tha t extends in to the arid re g io n o f n o rth w e st C hina. I t p ro te cts the ecological secunty in northwest Q iirn , and drives the sustainable economic and social development in H exi C o rridor and the downstream regions. As one o f the areas that is m ost sensitive to global clim ate change, the Q ilia n M ountains plays a decisive foie in the overnll development o f the countty. A rid m ountain grassland o f the Q ilian M ountains is a com plex ecosystem w ith large spatial differences o f eco-hydrological variables[1]. In recent years, the phenom enon that a large am ount o f water fo r ecological use has been occupied fo r other uses is common in the arid region o f northwest China, leading to spreading desertification, obviously inadequate c a rry in g ca p acity o f w a te r resources and eco-environm ental cap acity^. Study on the relationship between m ountain grassland and moisture content involves many d iscip lin e s' In order to prom ote the development o f disciplines and meet science and technology needs, it is necessary to fu lly understand issues including the absorption o f soil moisture by vegetation^ planttranspiration,and soil evaporation in the soil- plant-atmosphere continuum.D om estic scholars have conducted many studies on grassland s tru c tu re [4_8], species dive i:sit:y[9-10],and grassland biom a ss[11_13]. M ost o f these studies are short-term o r static obsefvations, and there have been few large- scale regional studies. Ecosystem s o f forest- grassland com posite watershed play a key role in and and semi-arid regions. W atet is a lim iting h c to t fo r the growth, distribution, and restnrationo f vegetation in arid regions. liu Jinrong et a l[141 considered that vegetation in alpine grassland in the Q ilian Mountains is characterized by lowness and adaptation to low temperature environm ent Chang Xuexiang et aL[151 studied the diversity o f spedes a at different altitudes in grassland o f the Q ilk n Mountains. Sheng Haiyan et aL[161 studied the change law o f soil bu lk density, m oisture content, and nutrient content o f Jinlum ei shrub grassland in the Q ilian M ountains by using the g rid m ethod. D a i Shengpei et al.[17] acquired data through RS, G IS, and SPOT V G T -N D V I and used image difference m ethod, trend line analysis method, mean value analysis method, ando f v^etation cover in the grassland o f the Qilian M ountains bo th tem porally and spatially. Yan YueJ e et a i[18] analyzed the status o f the northern slope o f the Q ilian M ountains and degraded grassland based on the m onitoring data o f the Q ilian Mountains. The purpose o f this paper is to reveal the response o f grassland biomass to soil moisture and find the thresholds o f soil moisture grounded on the data o f Pallugou watershed in the1 O verview of the study areaand research methods1.1 Overview of the Qilian MountainsThe Q ilian M ountains (94°24'-103°46, E, 36043'-39042' N ) are located in the center o f Eurasia, It belongs to the alpine valley landscape w ith a varied topography. Its altitude is generally betw een 2,000-4,000 m. T he highest peak KangzeJ gyai, situated in the south o f Jiuquan, rises to 5,826.8 m [19]. The Q ilian Mountains run east-west Ecosystems in the Q ilian M ountains are com plex and there are high levels o f spedes diversity and genetic diversity120'211. O ver there, glaciers, snow-capped m ountains, grassland, and forests add radiance and beauty to eachReceived: December 19,2017Accepted: January 23,2018Sponsored by N ational Natural Science Foundation of China (91425301,31360201,91225302).E-maiL Wangshunl23_78@77Response of Grassland Biomass to Soil Moisture in the Arid Mountainous Area of the Qilian Mountainsother, form ing a unique ecological safety barrier that nurtures the vast expanse o f fe rtile land in H e xi C o rrid o r. Its n o rth e rn and w estern regions have a w et clim ate, w hile its southern and western regions have a dry climate. Due to differences in topography and climate, obvious vertical distribution can be found in its soil and vegetation types. Picea. crassifo lia, w hich is the only species constituting the arbofous layef,is distributed on the shady and semi-shady slopes in patchy form. The grassland w ith an altitude o f over 3,300 m is a w et shrub forest dominated by P o te n tilla fru tic a s a, Caragana ju b a ta andThe sunny slope and semi-sunny slope o f the Q ilian M ountains are mainly grassland dominated by Polygonum viviparm n, Carex Carexatmta. m dS tipa.1.2 Overview of the study areaIn this paper, the study area is the Pailugou watershed (lO O^T-lO O0!? E, 38°32-3S°3y N) o f X ishui forest region in the m iddle section o f the Q ilian Mountains, w ith an altitude o f 2,640- 3,796 m. I t covers an area o f 2.74 km2. Annually, its average temperatxife is 1.6 The hottest m onth is July, w ith average m onthly temperature ranging from10.0-14.0^. The coldest m onth is January, w ith average m onthly tem perature ranging fi:om-9.8-12.5 The average annual p re c ip ita tio n is 354.3 m m, and the ra in in g m ainly occurs fro m June to September. A n- nually, the total hours o f sunshine are 1,892.6 h. The annual average relative hu m id ity is 60%. The average amount o f evaporation is annually 1,081.7 mm. The Pailugou watershed features steep terrain, crustal topography, and obvious vertical d istrib u tio n o f vegetation (F ig.l). Soil there may fa ll in to three classes: m ountainous fo re s t gra y-b ro w n s o il, m ou n ta in chestnut soil, and sub-alpine shrub meadow soil. These soils are characteristic o f th in soil kyer, coarse texture, and m edium organic content w ith a pH o f 7.0-8.0. To the class o f parent materials belong peat rock, conglom erate, fuchsia sand shale, etc.1.3 Arrangement of sample plotsIn th is p a p e r, th e ty p ic a l g ra ssla n d com m unity w ith an altitude o f 2,700-3,000 m in the Pailugou watershed was taken as the research object, in w hich 10 m X 10 m fixed sample plots were set up. In the grow th season between M ay and September in 2014 to 2015, five 1m x1m quadrats were laid diagonally in each sample p lot, the latitude and longitude, altitude, and hum idity o f the sample plots were recorded, height, coverage, and abundance o f species in each sample p lo t were surveyed, and biomass o f herbaceous plants in five quackats100olT0M E100〇18,0"E100o18,30"E •38o33,30"N38〇33,3〇”N.•38〇33,0,,N38〇33,〇,,N. -3So3T30^100。

土地沙化缺水解决作文

土地沙化缺水解决作文

土地沙化缺水解决作文英文回答:Land desertification and water scarcity are twocritical environmental issues that we are facing today. These problems have severe impacts on both the environment and human livelihoods. In this essay, I will discuss some possible solutions to address these challenges.To combat land desertification, one effective approach is afforestation. By planting trees and vegetation, we can prevent soil erosion and improve soil quality. For example, the "Great Green Wall" project in Africa aims to create a barrier of trees across the continent to combat desertification. This initiative not only helps to restore degraded land but also provides a source of income forlocal communities through sustainable forestry practices.Another solution is the implementation of sustainable agriculture practices. By using techniques such as croprotation, contour plowing, and terracing, we can reducesoil erosion and improve water retention. Additionally, adopting precision irrigation systems can help minimize water wastage in agriculture. For instance, the use of drip irrigation in vineyards has proven to be highly efficient, reducing water consumption while maintaining crop productivity.Furthermore, water scarcity can be addressed through the development of water management strategies. One approach is the construction of water reservoirs and dams to store and regulate water supply. These reservoirs can be used for irrigation, drinking water supply, and hydropower generation. The Three Gorges Dam in China is a prime example of such a project, providing water for agricultural purposes, electricity generation, and flood control.In addition, promoting water conservation practices is crucial. This can be achieved through public awareness campaigns and the implementation of water-saving technologies. For instance, installing low-flow faucets and toilets can significantly reduce water consumption inhouseholds. Furthermore, industries can adopt water recycling systems to minimize water usage and reduce their environmental impact.中文回答:土地沙化和缺水是我们今天面临的两个重要环境问题。

土壤侵蚀敏感度计算

土壤侵蚀敏感度计算

土壤侵蚀敏感度计算英文回答:Soil erosion sensitivity is a measure of the susceptibility of a soil to erosion. It is determined by a number of factors, including the soil's texture, structure, organic matter content, and slope. Soils with a high erosion sensitivity are more likely to be eroded by wind and water, while soils with a low erosion sensitivity are less likely to be eroded.There are a number of different methods for calculating soil erosion sensitivity. One common method is the Revised Universal Soil Loss Equation (RUSLE), which is used to estimate the average annual soil loss from a given area of land. RUSLE takes into account the soil's texture, structure, organic matter content, slope, and rainfall erosivity.Another common method for calculating soil erosionsensitivity is the Soil Erosion Potential (SEP) index, which is used to estimate the potential for soil erosion on a given area of land. SEP takes into account the soil's texture, structure, organic matter content, slope, and land use.Soil erosion sensitivity is an important factor to consider when planning land use activities. Areas with a high erosion sensitivity should be managed carefully to prevent soil erosion. This can be done by using conservation practices such as terraces, contour farming, and cover crops.中文回答:土壤侵蚀敏感性是指土壤对侵蚀的敏感程度。

东北典型森林土壤呼吸的模拟——IBIS模型的局域化应用

东北典型森林土壤呼吸的模拟——IBIS模型的局域化应用

东北典型森林土壤呼吸的模拟——IBIS模型的局域化应用国庆喜;张海燕;王兴昌;王传宽【摘要】集成生物圈模拟器(IBIS)将陆地生态系统的生态学过程与相关的生物物理和生理学过程统一起来,代表了生态系统碳循环模拟模型的研究方向.将IBIS-2.6进行适当改造用于中国东北地区的6种典型森林类型(红松林、落叶松林、杨桦林、硬阔叶林、蒙古栎林和杂木林)的土壤呼吸、根际呼吸和异养呼吸估算,并以实测数据作验证.2004-2005年土壤呼吸、根际呼吸和异养呼吸年通量的模拟结果与实测值吻合较好,模拟偏差变动范围分别为:-5%-21%、-2%-16%和-16%-45%.土壤呼吸模拟值与实测值之间的差异不显著(P>0.05),两者间的相关系数以杂木林最低(0.362)、硬阔叶林最高(0.917).除了春末夏初的土壤呼吸迅速升高过程外,模型能较好的捕捉土壤呼吸的季节动态.研究为IBIS模型的局域化应用奠定了基础,并表明经过改造的IBIS可以用于特定的森林生态系统水平的土壤呼吸模拟估测.【期刊名称】《生态学报》【年(卷),期】2010(030)009【总页数】9页(P2295-2303)【关键词】土壤呼吸;集成生物圈模拟器;模型;温带森林【作者】国庆喜;张海燕;王兴昌;王传宽【作者单位】东北林业大学林学院,哈尔滨,150040;东北林业大学林学院,哈尔滨,150040;东北林业大学林学院,哈尔滨,150040;东北林业大学林学院,哈尔滨,150040【正文语种】中文地下过程对森林碳平衡而言至关重要。

森林土壤碳库占生态系统碳储量的30%—90%[1],根系生物量大约占森林总生物量的4%—41%[2]。

地下部分每年消耗掉35%—80%的光合产物[3-4]。

土壤呼吸作用是生态系统呼吸过程中最重要的部分[5],通常占生态系统呼吸作用的一半以上[6],而在全球尺度上每年释放50—75 Pg C[7],是化石燃料燃烧释放CO2的10倍[8]。

叶尔羌河流域胡杨叶片生理特性和对土壤水盐及pH_值的响应

叶尔羌河流域胡杨叶片生理特性和对土壤水盐及pH_值的响应

第 42 卷第 6 期2023年 11 月Vol.42 No.6Nov. 2023中南民族大学学报(自然科学版)Journal of South-Central Minzu University(Natural Science Edition)叶尔羌河流域胡杨叶片生理特性和对土壤水盐及pH值的响应莫治新,王超,王浩,孙梦,韦良焕*(喀什大学化学与环境科学学院& 新疆生物类固废资源化工程技术研究中心,喀什844006)摘要以叶尔羌河流域为研究区,研究了胡杨林下土壤水分、盐分和pH值的空间分布及其对胡杨叶片生理特性的影响.结果表明:叶尔羌河流域胡杨林下0~100 cm的土壤平均含水率以上游最高,下游最低,其中上游土壤含水量随着土壤深度的增加而增加.胡杨林下0~100 cm的土壤盐分以上游最高,中游最低,土壤盐分随着土壤深度的增加均呈递减趋势.0~100 cm的土壤平均pH值以上游最高,下游最低,垂直规律变化不显著.上游胡杨林下各层土壤含水率变异不显著;各层土壤盐分的变异明显;在中游土壤含水率随深度的增加其变异程度加大,随深度的增大,土壤盐分变异程度降低;在下游土壤含水率及盐分变异程度中等.上、中、下游的土壤各层pH值的变异程度均极小.胡杨叶片丙二醛含量及变异系数以下游最高,上游最低,变异程度均较弱;叶片可溶性糖含量以上游最高,下游最低;叶片可溶性糖的变异系数以下游最高,上游最低;叶片脯氨酸含量以中游最高,下游最低;叶片叶绿素含量及变异系数以中游最高,下游最低,变异程度均属于中低水平.胡杨叶片各生理指标与不同深度的土壤水分、盐分及pH值存在一定的相关性,脯氨酸与20~40 cm土壤含盐量之间有显著的负相关关系(P<0.05),脯氨酸与40~60 cm土壤含盐量之间有极显著的负相关关系(P<0.01);丙二醛与0~20 cm土壤含水率之间有极显著的负相关关系(P<0.01);脯氨酸与0~80 cm土壤pH值之间有显著的负相关关系(P<0.05),叶绿素与60~80 cm土壤pH值之间有显著的正相关关系(P<0.05).关键词胡杨;土壤水分;土壤盐分;生理特性;叶尔羌河中图分类号Q948.113 文献标志码 A 文章编号1672-4321(2023)06-0733-06doi:10.20056/ki.ZNMDZK.20230602Physiological characteristics of of Populus euphratica leaves and theirresponse to soil water, salt and pH value in Yarkant River BasinMO Zhixin,WANG Chao,WANG Hao,SUN Meng,WEI Lianghuan*(College of Chemistry and Environmental Science & Xinjiang Biomass Waste Resources Technology andEnginearing Center, Kashi Unversity, Kashi 844006, China)Abstract The spatial distribution of soil moisture, salinity and pH in Populus euphratica forest and their effects on the physiological characteristics of Populus euphratica leaves were studied in the Yarkant River Basin. The results indicated that the average moisture content of the soil 0‒100 cm under the Populus euphratica forest in the upstream of Yarkant River Basin was the highest, while that in the downstream was the lowest. The soil moisture content in the upstream increased with the increase of soil depth. The salinity of the soil 0‒100 cm under Populus euphratica forest in the upstream was the highest, while that in the midstream was the lowest. The soil salinity decreased with the increase of soil depth. The average pH value of 0‒100 cm soil in the upstream was the highest, while that in the downstream was the lowest, and the vertical variation was not significant. The variation of soil moisture content in each layer of Populus euphratica forest in the upstream收稿日期2022-07-07 * 通信作者 韦良焕,研究方向:环境科学,E-mail:*****************作者简介莫治新(1978-),女,教授,研究方向:土壤与环境,E-mail:**************基金项目国家自然科学基金资助项目(41161037);新疆维吾尔自治区自然科学基金资助项目(2017D01A12);新疆高校科研计划资助项目(XJEDU2017M031)第 42 卷中南民族大学学报(自然科学版)was insignificant;while the variation of soil salinity in each layer was substantial. The variation degree of soil moisture content in the midstream increased with the increase of depth. With the increase of depth, the degree of soil salt variation decreased. The soil moisture content and salt content in the downstream showed moderate variation. The variation of pH value of soil layers in the upstream, midstream and downstream was negligible. The malondialdehyde content and coefficient of variation of Populus euphratica leaves in the downstream were the highest and those in the upstream were the lowest,while both the degree of variation was trivial. The soluble sugar content of leaves in the upstream was the highest and that in the downstream was the lowest. The coefficient of variation of soluble sugar in the leaves in the downstream was the highest and that in the upstream was the lowest. The proline content of leaves in the midstream was the highest and that in the downstream was the lowest. The chlorophyll content and coefficient of variation of leaves in the midstream were the highest and those in the downstream was the lowest, while both the degree of variation was in the middle and low level. There were some correlations between the physiological indexes of Populus euphratica leaves and soil moisture, salinity and pH value at different depths. There were a significant negative correlation between proline and salt content in 20‒40 cm soil (P< 0.05),a highly significant negative correlation between proline and salt content in 40‒60 cm soil (P<0.01),a highly significant negative correlation between malondialdehyde and soil water content in 0‒20 cm (P<0.01),a significant negative correlation between proline and 0‒80 cm soil pH (P<0.05),and a significant positive correlation between chlorophyll and 60‒80 cm soil pH (P<0.05).Keywords Populus euphratica; soil water; soil salt; physiological characteristics; Yarkant River Basin位于新疆维吾尔自治区西南、塔里木盆地西部边缘,发源于喀喇昆仑山的叶尔羌河流域全长1097 km[1].叶尔羌河是塔里木河的源头之一.该区以农业为主导,因其丰富的光、热资源,从60年代起,灌溉规模迅速扩张;由于作物产量的增长,致使塔里木河的下游终端已基本没有水源流入[2].叶尔羌河是保证新疆塔里木河生态环境安全和促进新疆地区经济发展的一个主要来源[3-5].位于塔里木河上游的叶尔羌河流域,是一个典型的干旱极端区域,其生态环境十分脆弱,容易遭受气候变迁和人为活动的破坏.近几年,由于受自然因素和人为因素的影响,造成了流域内河流断流的频发[6-7],以胡杨林为代表的荒漠河岸林日渐衰落,使其防风固沙、调节气候、维持绿洲的可持续发展能力受到削弱[8].胡杨(Populus euphratica Oliv.)隶属于杨柳科(Salicaceae)杨属(Populus Linn.)是叶尔羌河流域荒漠河岸林中的主要建群种,对维持叶尔羌河流域生态系统的平衡与生态功能具有重要作用[9].叶尔羌河流域胡杨林内植物资源较为丰富[10],但是近几年,人为破坏,水资源匮乏,使得胡杨林资源逐年下降[11],表现为森林面积逐年缩小,动态度降低,斑块化倾向,生物多样性下降,进而破坏荒漠生态系统的平衡[12-14].胡杨在维持荒漠生态系统平衡上起着不可取代的作用[15].叶尔羌河流域水资源承载水平到达超载的边缘[16].该流域气候干燥,水土流失严重,土壤质地疏松,地表植物稀少,有机质水平偏弱;河滩、低洼地区存在严重的盐碱地、地表水及地下水利用不合理,排水系统不健全,在强烈的蒸腾作用下,容易发生次生盐渍化[17].针对以上问题,本文对叶尔羌河的土壤水分、土壤盐分和pH值的空间变化特点进行分析,研究土壤水分、盐分、pH值与胡杨叶片生理指标之间的相关性,为研究区胡杨资源的保护,维护生态平衡具有一定的理论意义.1 研究方法1.1 样地基本情况在叶尔羌河流域上游、中游、下游的胡杨林典型区域设置样地15个,通过样方调查(表1),每个样方的面积为50 m×50 m,按人为分层采集土壤样品,分为5层:0~20 cm、20~40 cm、40~60 cm、60~80 cm、80~100 cm.1.2 土壤样品室内分析土壤水分采用烘干法测定,土壤总盐采用重量法测定,土壤pH值采用酸度计进行测定[18].胡杨叶片用丙酮提取-分光光度法检测叶绿素含量,用蒽酮方法检测了其可溶性糖含量,用酸三酮显色分析方法检测游离脯氨酸含量,用硫代巴比妥酸法检测丙二醛含量[19].1.3 数据处理用 SPSS 20.0及 Excel对数据进行分析.734第 6 期莫治新,等:叶尔羌河流域胡杨叶片生理特性和对土壤水盐及pH值的响应2 结果与分析2.1 胡杨林下土壤水盐及pH值空间分布特征叶尔羌河流域胡杨林下土壤水分、盐分和pH 值存在明显的空间分布规律(图1),结果表明:叶尔羌河流域上游胡杨林下土壤含水量>中游>下游;上游胡杨林下土壤含水量随着土壤深度的增加而增加,各层含水量均大于20%,各层之间含水量最大增幅为13.47%,最小增幅为3.35%;中游胡杨林下的土壤含水量变幅不大,各层含水量在13.43%~18.42%,其中在60~80 cm土壤含水量达最大值18.42%,20~ 40 cm土壤含水量略高于表层(0~20 cm)和第三层(40~60 cm)土壤含水量;下游胡杨林下土壤含水量在20~40 cm达到最大值7.65%,40 cm以下含水量变幅较小.上游土壤盐分>下游>中游,各段胡杨林下土壤盐分含量均是在表层(0~20 cm)达到最大值,由此说明:叶尔羌河流域胡杨林下盐分表聚作用强烈;随土壤深度的增加,土壤盐分呈现下降的趋势,其中上游胡杨林下的土壤盐分降幅显著,降幅在44.58%~65.19%之间;中游胡杨林下的土壤盐分随深度增加降幅较小,降幅在8.05%~40.70%;随着深度的增大,下游胡杨林地的含盐量下降幅度逐渐减小,降幅从47.7%降至29.0%.胡杨林下在0~ 80 cm范围内,上游土壤pH值>中游>下游,其中上游胡杨林下的土壤pH值在第二层(20~40 cm)和第四层(60~80 cm)含量较高,在表层(0~10 cm)、第三层(40~60 cm)和第五层(80~100 cm)含量较低,各层变幅较小,在1.49%~2.29%之间.中游和下游胡杨林下的土壤pH值均是在第五层(80~100 cm)含量达到最大值,在表层(0~10 cm)含量最低,中游胡杨林下各层土壤pH值变幅在0.23%~2.45%之间.下游胡杨林下的各层土壤pH值变幅在0.35%~2.86%之间.2.2 胡杨林下土壤水盐空间变异性分析叶尔羌河流域上游、中游、下游胡杨林下的土壤水分、盐分、pH值的变异系数存在显著差异(图2),结果表明:上游胡杨林下各深度土壤含水率的变异系数在14.82%~38.79%之间,变异强度较弱;各层土壤盐分的变异系数均大于100%,属强变异性.在中游胡杨林下表层(0~20 cm)土壤含水率的变异系数为18.03%,变异程度较弱,20~40 cm土壤含水率的变异系数为85.01%,40~60 cm土壤含水率的变异系数为78.56%,均属于中等强度变异;60~80 cm、80~100 cm土壤含水率的变异系数均大于100%,属强变异性;土壤盐分在0~20 cm、20~40 cm、40~60 cm和60~80 cm的变异系数在65.16%~77.62%,均属于中等强度变异,80~100 cm土壤盐分的变异系数为17.81%,变异程度较弱.下游胡杨林下土壤各层含水率的变异系数45.75%~104.32%,属中强度变异;土壤各层盐分的变异系数在67.54%~102.71%,属中强度变异.土壤各层pH值的变异系数均小于4%,变异程度极小.2.3 胡杨叶片生理特性分析受环境因素影响,叶尔羌河不同区域胡杨叶片生理特性存在差异(表3),结果表明:上游叶片表1 样地基本情况Tab.1 Basic situation in the plots地点下游中游上游样点号样点1样点2样点3样点4样点5样点6样点7样点8样点9样点10样点11样点12样点13样点14样点15纬度39°38′59″39°40′23″39°50′23″39°50′25″39°50′33″39°50′45″39°50′50″39°23′35″39°23′58″39°29′29″39°24'57″38°23′28″38°21′40″38°24′55″38°24′15″经度78°39′05″78°36′42″79°33′47″79°33′48″79°33′46″79°33′41″79°33′41″78°11′25″78°11′50″76°07′58″78°12′50″77°22′34″77°23′51″77°21′14″77°21′32″土壤含水率/%3.45±2.3612.50±6.158.58±2.035.34±3.084.67±1.773.47±0.891.14±0.308.21±2.893.24±3.925.04±3.9115.30±1.6716.70±6.4419.59±3.5125.63±3.3123.62±4.61土壤含盐量/(g‧kg-1)4.52±7.152.92±1.878.52±4.7312.96±11.7412.79±8.893.18±1.932.13±1.541.68±0.551.28±1.141.03±0.270.69±0.2310.97±9.553.70±4.556.60±4.3927.92±11.85土壤pH值8.45±0.328.15±0.148.18±0.208.20±0.118.62±0.178.29±0.108.38±0.348.71±0.108.59±0.358.48±0.128.61±0.148.69±0.138.65±0.208.55±0.168.63±0.06735第 42 卷中南民族大学学报(自然科学版)丙二醛含量<中游<下游,丙二醛含量的变异系数也是上游<中游<下游,但变异系数均小于40%,变异程度较弱.上游叶片可溶性糖含量>中游>下游,可溶性糖的变异系数是上游<中游<下游,上游和中游的叶片可溶性糖的变异系数小于30%,变异程度较弱,下游叶片可溶性糖的变异系数为50.32%,属中等强度变异.中游脯氨酸含量>下游>上游,叶片脯氨酸的变异系数是中游>下游>上游,变异系数均小于30%,变异程度较弱.中游叶片叶绿素含量>上游>下游,叶片叶绿素含量的变异系数为中游>上游>下游,变异系数小于40%,变异程度较小.2.4 土壤的水盐及pH 与胡杨叶片生理特性相关性分析土壤含水率、盐分含量及pH 值与胡杨叶片的丙二醛、可溶性糖、脯氨酸和叶绿素含量进行Spearman 相关性分析(表2),结果表明:脯氨酸与20~40 cm 土壤含盐量之间有显著的负相关关系(P <0.05), 脯氨酸与40~60 cm 土壤含盐量之间有极为显著的负相关关系(P <0.01);丙二醛与0~20 cm 土壤含水率之间有极为显著的负相关关系(P <0.01);脯氨酸与60~80 cm 土壤pH 值之间有显著的负相关关系(P <0.05),叶绿素与60~80 cm 土壤pH 值之间有显著的正相关关系(P <0.05).图1 胡杨林下各土层土壤水盐含量及pH 值变化Fig.1 Dynamics of soil water -salt content and pH valueunder different habitats inPopulus euphratica图2 胡杨林下土壤水盐含量及pH 值含量变异系数Fig.2 Variation coefficients of soil water -salt content and pH valueunder different habitats in Populus euphratica736第 6 期莫治新,等:叶尔羌河流域胡杨叶片生理特性和对土壤水盐及pH 值的响应3 讨论叶尔羌河流域整体属于干旱区,年降水量小于100 mm ,近50年来降水量呈增加趋势,流域平均温度从20世纪90年代中期开始表现为突变增温,以暖湿趋势为主[20].这造成了流域胡杨林下的土壤盐渍化程度的面积有所减小,调查的15个样地中非盐渍化土壤占60%,轻度盐渍化土壤占13.33%,中度盐渍化土壤占20%,盐土占6.67%.盐分和水分是影响胡杨生长发育的主要因子.而胡杨在极端的干旱环境中为了增强自身的生存能力,必须进行适应改变[21-23].土壤水分、盐分、pH 值的胁迫程度的改变会导致植株光合作用的细胞膜受到损伤,使叶绿素含量受到直接或间接的影响,从而导致光合能力下降;植物通过大量的有机、无机元素的累积,增加了细胞的液相含量,减少了渗透势,增加了细胞的保水性;因此,它能适应土壤中的水分和盐分的胁迫,同时也能反映出其它的生理指标[24-26].叶尔羌河流域土壤水分的补给量上游>中游>下游,造成该区域土壤水分变化规律均是上游>中游>下游.由于研究区蒸发量大造成土壤盐分表聚作用强烈,表层土壤盐分含量均高于下层土壤.研究区属于石灰石土壤或盐碱土壤,因此该区域的土壤pH 值均在8~9之间,且变异程度低.在不同区域土壤水分及土壤盐分的变异程度差距较大,因此土壤水分及盐分将是胡杨生长的主要限制因素,不同区域土壤水分及盐分条件不同,造成胡杨的抗旱及抗盐能力存在差异.研究区土壤水分、盐分和pH 值空间分布存在差异,导致胡杨叶片的脯氨酸、可溶性糖、丙二醛、叶绿素含量在不同区域分布的差异性,但是胡杨叶片的脯氨酸、可溶性糖、丙二醛、图3 胡杨叶片生理特性Fig.3 Physiological characteristics of leaves of Populus euphratica表2 土壤水盐含量及pH 值与胡杨叶片生理指标相关系数Tab.2 Correlation coefficient of soil water -salt content and pH valuewith physiological indexes of Populus euphratica leaves不同土壤水盐含量和pH 值土壤含盐量土壤含水率土壤pH 值0~20 cm20~40 cm40~60 cm60~80 cm 80~100 cm 0~20 cm20~40 cm 40~60 cm60~80 cm 80~100 cm 0~20 cm20~40 cm 40~60 cm60~80 cm80~100 cm 相关系数丙二醛含量−0.168−0.232−0.196−0.225−0.143−0.654**−0.2710.239−0.118−0.100−0.472−0.171−0.232−0.274−0.079可溶性糖含量0.1320.0460.075−0.082−0.036−0.218−0.050−0.2320.1890.200−0.0110.2210.3290.3880.104脯氨酸含量−0.479−0.561*−0.646**−0.464−0.632−0.271−0.496−0.504−0.414−0.450−0.265−0.136−0.050−0.671*叶绿素含量−0.182−0.264−0.179−0.107−0.0710.2860.2070.343−0.2710.3710.2790.5790.3820.608*0.324注:*表示P <0.05,**表示P <0.01.737第 42 卷中南民族大学学报(自然科学版)叶绿素含量的变异程度均属于中低水平,说明胡杨叶片对土壤水分及盐分的胁迫有较强的抗逆性.4 结论叶尔羌河流域胡杨林下0~100 cm的土壤平均含水率及pH值的变化规律为上游>中游>下游,胡杨林下0~100 cm的土壤平均含盐量的变化规律为上游>下游>中游,叶尔羌河上游、中游、下游胡杨林下的土壤水分、盐分、pH值含量存在空间差异性,土壤水分和土壤盐分的变异系数在不同空间差异较大,但土壤pH值在不同空间变异程度均较小.在叶尔羌河流域的上游、中游、下游胡杨叶片丙二醛、可溶性糖、脯氨酸和叶绿素含量存在差异性,变异系数均较小.土壤的含水率、盐分及pH值与胡杨叶片的丙二醛、可溶性糖、脯氨酸和叶绿素含量存在一定的相关性.参考文献[1]李惠,周军,王刚,等. 新疆叶尔羌河流域土壤中元素来源浅析[J]. 新疆有色金属, 2020, 43(1): 62-64.[2]乌宁巴特,刘新平,马相平. 叶尔羌河流域土地生态脆弱性差异评价[J].干旱区地理, 2020, 43(3): 849-858.[3]王建平,阿依努尔·买买提,马元旭.1978—2018年叶尔羌河流域土地利用及其生态服务价值变化数据研究[J].全球变化数据学报(中英文),2020,4(1):75-85.[4]王光焰,徐生武,谢志勇. 塔里木河流域可调生态水量研究[J]. 水利规划与设计,2021,(3): 29-33,61.[5]杜清,徐海量,张广朋,等. 叶尔羌河流域1990―2010年生态环境变化特征[J].干旱地区农业研究, 2016,34(1):252-256,263.[6]YAO J Q,ZHAO Y,CHEN Y,et al. Multi-scale assessments of droughts: A case study in Xinjiang,China[J].Sci Total Environ, 2018, 630: 444-452.[7]YAO J Q,TUOLIEWUBIEKE D,CHEN J,et al.Identification of drought events and correlations with large-scale ocean-spheric patterns of variability:A case studyin Xinjiang, China[J].Atmosphere, 2019,10(2):94.[8]李华林,白林燕,冯建中,等. 新疆叶尔羌河流域胡杨林时空格局特征[J].生态学报, 2019, 39(14):5080-5094.[9]王晶,殷飞,林宁. 叶尔羌河流域荒漠河岸林胡杨叶片和凋落叶的生态化学计量特征[J]. 植物资源与环境学报, 2021, 30(5): 42-49.[10]李金,徐海量,王勇辉,等. 叶尔羌河下游河岸胡杨种群长势与植物多样性对淹灌的响应评估[J]. 生态与农村环境学报, 2019, 35(7): 859-866.[11]马俊梅,马剑平,满多清,等. 石羊河下游天然胡杨林分布特征及土壤特性分析[J]. 西北林学院学报,2020, 35(2):15-23.[12]REYNOLDS J F,SMITH D M S,LAMBIN E F,et al.Global desertification:Building a science for drylanddevelopment[J].Science, 2007, 316(5826): 847-851.[13]MEA M E A. Ecosystems and human well-being:Desertification synthesis[J].Ecosystems, 2005: 1-100.[14]李承义,何明珠,唐亮. 荒漠生态系统磷循环及其驱动机制研究进展[J].生态学报, 2022, 42(12):5115-5124.[15]蔚亮,李均力,包安明,等. 塔里木河下游湿地面积时序变化及对生态输水的响应[J]. 植物生态学报,2020, 44(6):616-627.[16]刘夏,张曼,徐建华,等. 基于系统动力学模型的塔里木河流域水资源承载力研究[J]. 干旱区地理,2021, 44(5):1407-1416.[17]古丽格娜·哈力木拉提,买合木提江·买木提. 叶尔羌河流域土壤盐分特征研究——以喀什地区叶城县为例[J].水土保持研究,2012,19(5):143-147.[18]鲍士旦. 土壤农化分析[M]. 北京:中国农业出版社,2000.[19]邹琦. 植物生理学实验指导[M]. 北京:中国农业出版社, 2000.[20]王翠,李生宇,雷加强,等. 叶尔羌河流域气候变化特征及趋势分析[J].干旱区资源与环境, 2018, 32(1):155-160.[21]XU Z Z,ZHOU G S,SHIMIZU H. Plant responses to drought and rewatering[J].Plant Signal Behav, 2010, 5(6): 649-654.[22]乌日娜,石凤翎,徐舶. 直立型扁蓿豆对干旱胁迫和复水的响应及适应策略[J]. 中国生态农业学报(中英文), 2020, 28(12):1901-1912.[23]张青青,徐海量,叶茂. 不同地下水埋深下胡杨叶片生理指标变化特点[J]. 植物研究, 2009, 29(4): 453-459.[24]黄志磊,汪军成,姚立蓉,等.稀盐盐生植物的耐盐机理研究进展[J].甘肃农业大学学报, 2022, 57(2):1-10.[25]KUMARI A, DAS P, PARIDA A K, et al. Proteomics,metabolomics,and ionomics perspectives of salinitytolerance in halophytes[J].Front Plant Sci,2015,6:537.[26]侯思璇,李传哲,刘国华,等.盐胁迫对毛竹实生苗形态生理生化特征的影响[J].江苏农业科学, 2021,49(10):136-141.(责编&校对 刘钊)738。

荒漠生态系统土壤酶活性对矿井水的响应

荒漠生态系统土壤酶活性对矿井水的响应

龚诗佩,李国旗,宋立肖等:荒漠生态系统土壤酶活性对矿井水的响应矿井水在煤炭开采中形成,若将其直接排放,既污染环境,还浪费大量水资源[1]。

土壤酶活性反映了土壤中各种生化反应的强度与方向。

因此,本研究以宁夏白芨滩自然保护区为研究对象,探讨距保护区内矿井水库不同距离对土壤酶活性的影响,以期为干旱荒漠区矿井水库周边地区土壤质量的改进提供一定的理论与实践依据。

1材料与方法1.1研究区概况研究区位于宁夏白芨滩自然保护区,地处宁夏东北鄂尔多斯台地,位于毛乌素沙漠西南边缘,属于严重缺水区[2]。

保护区内庙梁子水库是保护区旁枣泉煤矿矿井水多年的排放地。

研究区植被主要有柠条锦鸡儿(Caragana korshinskii)、猫头刺(Oxytropis aciphylla)、沙蓬(Agriophyl-lum squarrosum)等。

1.2样品采集与测定在庙梁子水库边(A )、垂直水库0.5km (B )、1km (C )、1.5km 处(D )设置4个样地,在各样地内各随机设3个5m×5m 的大样方,在每个大样方中采用五点采样法,各设5个1m×1m 的小样方,共45个小样方。

在每个1m×1m 的小样方分别按0-10cm、10-20cm、20-30cm 取土,装荒漠生态系统土壤酶活性对矿井水的响应(1.宁夏大学西北土地退化与生态恢复国家重点实验室培育基地宁夏,银川750021;2.宁夏大学西北退化生态系统恢复与重建教育部重点实验室宁夏,银川750021)【摘要】通过测定土壤酶活性,在宁夏白芨滩保护区内矿井水库庙梁子水库边(A )、垂直水库0.5km (B )、1km (C 、1.5km 处(D )设置4个样地,研究矿井水对土壤酶活性的影响。

结果表明:1)脲酶活性随距离增大在0-10cm 土层显著降低;2)蔗糖酶活性随距离增大有所降低但差异不显著;3)磷酸酶活性在D 中显著升高;4)过氧化氢酶活性随距离增大均呈降低趋势,且A 与D 间差异显著;5)样地间蔗糖酶活性、磷酸酶活性及过氧化氢酶活性在0-30cm 土层均无显著变化,但各样地内脲酶活性随土层加深呈波动上升趋势。

基于组分区分的亚热带湿地松人工林土壤呼吸对氮添加的响应

基于组分区分的亚热带湿地松人工林土壤呼吸对氮添加的响应

carbon ( C) budget and C sequestration in the terrestrial ecosystem. Taking a subtropical Pinus elliottii Plantation in China as the research availability was conducted by field simulation control experiment based on the distinction of different components of soil respirationꎬ and a
XIAO Shengsheng 1ꎬ2 ꎬ WANG Jia 2 ꎬ SHI Zheng 2 ꎬ ZHAO Jiading 1ꎬ2 ꎬ TANG Chongjun 1ꎬ2
Abstract: The increase of nitrogen ( N) deposition would obviously disturb the soil respirationꎬ further make important influences on the
收稿日期: 2017 ̄10 ̄17㊀ ㊀ ㊀ 修订日期: 2018 ̄03 ̄20
respiration were 3������ 91ꎬ 2������ 30 and 1������ 73 μmol∕(m2������ s)ꎬ respectively under CK (0)ꎬ LN treatment (60 kg∕(hm2������ a)) and HN treatment (120
objectꎬ a quantitative study about the responses of the root autotrophic respirationꎬ microbial heterotrophic respiration to the varying N preliminary discussion on the biogeochemistry and microbiological mechanism of the response were also made. Results showed that: (1) The dynamic characteristics of the total soil respirationꎬ root respiration and microbial respiration displayed obvious single peak curve in both 2015 and 2016ꎬ with the maximum respiration rates observed in July or August. Simulated N deposition had no significant influence on the seasonal pattern of soil respiration rates. (2) The annual average rates of the total soil respirationꎬ root respiration and microbial

农田土壤呼吸对大气CO2 浓度升高的响应

农田土壤呼吸对大气CO2 浓度升高的响应

生态环境 2008, 17(4): 1667-1673 Ecology and Environment E-mail: editor@基金项目:国家自然科学基金重点基金项目(40231003;40110817);河南科技大学博士基金项目(09001266);河南省前沿基础研究项目(082300430230) 作者简介:寇太记(1975-)男,讲师,博士,主要从事土壤化学与环境保护及碳氮循环方面的研究。

E-mail: ktj1975@; tjkou@ 收稿日期:2008-02-15农田土壤呼吸对大气CO 2浓度升高的响应寇太记1,苗艳芳1,庞静2,朱建国3,谢祖彬31. 河南科技大学农学院,河南 洛阳 471003;2. 日本东京大学大学院农学生命科学研究科113 – 8657;3. 中国科学院南京土壤研究所,江苏 南京 210008摘要:大气CO 2浓度急剧升高引起的全球气候变暖是人们关注的环境问题之一。

随着气候变化对全球生态环境的影响日益增大,全球碳循环研究已经成为各国科学家研究的热点之一。

模拟大气CO 2浓度升高试验技术先后经历了人工气候室、开顶式气室、FACE 技术(Free Air carbon dioxide enrichment )阶段,FACE 技术因其无限接近自然条件而成为研究大气CO 2浓度增加对整个生态系统影响的最理想试验平台。

土壤呼吸是陆地生态系统碳循环的重要环节,农田生态系统是陆地生态系统的重要组成,研究农田生态系统的土壤呼吸对大气CO 2浓度增加的响应是预测和评价农田系统乃至整个陆地生态系统土壤碳周转和碳收支的重要前提与基础。

文章根据现有研究成果,阐述了模拟大气CO 2浓度升高的试验技术,比较了农田土壤呼吸的测定方法,总结了以FACE 研究成果为主的高CO 2浓度条件下农田土壤呼吸、不同地下来源贡献及环境因子影响,提出了进一步研究的方向,以期为全球气候变化背景下的农田土壤呼吸和碳固定及全球碳循环研究提供帮助。

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REGULAR ARTICLEResponse of soil respiration to simulated N deposition in a disturbed and a rehabilitated tropical forest in southern ChinaJiangming Mo ÆWei Zhang ÆWeixing Zhu ÆYunting Fang ÆDejun Li ÆPing ZhaoReceived:25December 2006/Accepted:18May 2007/Published online:13June 2007ÓSpringer Science+Business Media B.V.2007Abstract Responses of soil respiration (CO 2emis-sion)to simulated N deposition were studied in a disturbed (reforested forest with previous understory and litter harvesting)and a rehabilitated (reforested forest with no understory and litter harvesting)tropical forest in southern China from October 2005to September 2006.The objectives of the study were to test the following hypotheses:(1)soil respiration is higher in rehabilitated forest than in disturbed forest;(2)soil respiration in both rehabilitated and disturbed tropical forests is stimulated by N additions;and (3)soil respiration is more sensitive to N addition in disturbed forest than in rehabilitated forest due to relatively low soil nutrient status in the former,resulting from different previous human disturbance.Static chamber and gas chromatography techniques were employed to quantify the soil respiration,following different N treatments (Control,no N addition;Low-N,5g N m À2year À1;Medium-N,10g N m À2year À1),which had been applied continuously for 26months before the respiration measurement.Results showed that soil respirationexhibited a strong seasonal pattern,with the highest rates observed in the hot and wet growing season (April–September)and the lowest rates in winter (December–February)in both rehabilitated and dis-turbed forests.Soil respiration rates exhibited signif-icant positive exponential relationship with soil temperature and significant positive linear relation-ship with soil moisture.Soil respiration was also significantly higher in the rehabilitated forest than in the disturbed forest.Annual mean soil respiration rate in the rehabilitated forest was 20%lower in low-N plots (71±4mg CO 2-C m À2h À1)and 10%lower in medium-N plots (80±4mg CO 2-C m À2h À1)than in the control plots (89±5mg CO 2-C m À2h À1),and the differences between the control and low-N or medium-N treatments were statistically significant.In disturbed forest,annual mean soil respiration rate was 5%lower in low-N plots (63±3mg CO 2-C m À2h À1)and 8%lower in medium-N plots (61±3mg CO 2-C m À2h À1)than in the control plots (66±4mg CO 2-C m À2h À1),but the differences among treatments were not significant.The depressed effects of experimental N deposition occurred mostly in the hot and wet growing season.Our results suggest that response of soil respiration to elevated N deposition in the reforested tropical forests may vary depending on the status of human disturbance.Keywords Anthropogenic disturbances ÁSoilrespiration ÁN deposition ÁC sequestration ÁChina ÁTropicsResponsible Editor:Hans Lambers.J.Mo (&)ÁW.Zhang ÁY.Fang ÁD.Li ÁP.ZhaoSouth China Botanical Garden,The Chinese Academy of Sciences,Dinghu,Zhaoqing,Guangdong 526070,China e-mail:mojm@W.ZhuDepartment of Biological Sciences,State University of New York,Binghamton,NY 13902-6000,USAPlant Soil (2007)296:125–135DOI 10.1007/s11104-007-9303-8IntroductionFossil fuel burning,forest disturbance,and land conversion are major anthropogenic activities that have elevated the atmospheric concentration of CO2 and increased the deposition of reactive nitrogen (N)—(all kings of N compounds except for N2) (Matson et al.2002;Galloway et al.2003).Industrial development and agricultural intensification are pro-jected to increase in the humid tropics over the next few decades in Asia,causing extensive changes to natural ecosystem in the region(Galloway et al. 2003).Over40%of all N fertilizers are now used in the tropics and subtropics and over60%will be used there by2020(Galloway et al.2003).At the same time,fossil fuel use is expected to increase by several folds in many areas of the tropics over the coming decades(Hall and Matson1999;Galloway et al. 2003).Forest soil is an important source and sink of CO2in atmosphere(e.g.Bowden et al.2004). Nitrogen additions to forest soils have shown variable effects on soil respiration rates,including increases, decreases,or no change(Bowden et al.2000,2004; Burton et al.2004;Micks et al.2004;Cleveland and Townsend2006).However,most studies of the consequences of enhanced N deposition on sources and sinks of CO2have been performed in temperate forests.There are very few studies of soil respiration responses to N deposition in subtropical and tropical forests(Cleveland and Townsend2006)and to our knowledge there is no such information from China.In Asia,the use and emissions of reactive N increased from14Tg N yearÀ1in1961to 68Tg N yearÀ1in2000and is expected to reach 105Tg N yearÀ1in2030(Zheng et al.2002). Currently,this leads to high atmospheric N deposition (30–73kg haÀ1yearÀ1)in some forests of southern tropical China where industry and agriculture activ-ities have recently been increasing rapidly(Ren et al. 2000;Mo et al.2005).In addition,most of the land originally covered with primary forests in China has been degraded by human activities during the past several centuries(Wang et al.1982).In extreme cases, the land became so degraded,with barely any vegetation cover(He and Yu1984).Deforestation in China is estimated to be on the order of0.61million ha per year during the1990s and the remnant mature native forest area now is less than9%of the total territory(Liu et al.2000).Attempts to reverse this process of land degradation have been initiated in many subtropical and tropical regions of China.Over the last few decades,large areas have been reforested with a native pine species(Pinus massoniana Lamb), to prevent further degradation of the landscape. Cutting of the trees is usually prohibited,but harvest-ing of understory and litter is often allowed to satisfy local fuel needs(Brown et al.1995;Mo et al.1995, 2003).Thus,these reforested forests can be divided into disturbed forests(understory and litter distur-bance occurred)and rehabilitated forests(refor-ested with no understory and litter harvesting)(Mo et al.2003).These reforested forests cover more than half of the total forested area in subtropical and tropical China(Brown et al.1995;Mo et al.2003, 2004).However,the effects of these major land-use changes on ecosystem processes and structures are poorly known(Mo et al.2003,2006,2007),and information regarding soil respiration and its response to increased N deposition is non-existent.It was hypothesized that chronic N additions to N-limited forests would initially stimulate soil microbial activity(and increase soil respiration),but over time would result in a carbon-limited state after microbial demand for N was satisfied(Aber et al.1989).We have reported previously that both rehabilitated and disturbed forests in tropical China are N limited,and that N addition increased both mass loss and C release from the decomposing litter(Mo et al.2006, 2007).The objective of this study was to examine the effects of N addition on soil respiration and compare this effect between the forest sites of different land-use history.We hypothesize that:(1)soil respiration is higher in rehabilitated forest than in disturbed forest;(2)soil respiration in both forests is stimulated by N additions;(3)soil respiration is more sensitive to N addition in disturbed forest than in the rehabil-itated forest due to relatively low soil nutrient status in the former forest resulting from constant human disturbance.MethodsSite descriptionThis study was conducted in the Dinghushan Bio-sphere Reserve(DHSBR).The reserve lies in the middle part of Guangdong Province in southernChina(1128100E longitude and238100N latitude) and occupies an area of approximately1,200ha.In the reserve,we have identified two types of forest:a mixed pine and broadleaf forest(rehabilitated)and a pine forest(disturbed).The rehabilitated forest,at about200m asl occupies approximately50%of the reserve,and the disturbed forest,at about50–200m asl occupies approximately20%of the reserve(Mo et al.2003).These two types of forest are approx-imately4km from each other.Both rehabilitated and disturbed forests originated from the1930s clear-cut and the following pine plantation.The original sites of both forests were badly eroded and degraded (Wang et al.1982;Mo et al.1995,2003).However, the disturbed forest was under continuous human disturbances(generally the harvesting of understory and litter)during1930–1998and the tree layer remained dominated by P.massoniana(Brown et al. 1995;Mo et al.1995,2003).Conversely,coloniza-tion from natural dispersal of regional broadleaf species has changed plant composition in the reha-bilitated forest(Mo et al.2003).The reserve has a monsoon climate and is located in a tropical moist forest life zone,(sensu Holdridge 1967).The mean annual rainfall of1,927mm has a distinct seasonal pattern,with75%of it falling from March to August and only6%from December to February(Huang and Fan1982;Fang et al.2006). Nitrogen deposition in rainfall was measured as36–38kg haÀ1yearÀ1in1990s(Huang et al.1994;Zhou and Yan2001).The survey conducted in June2003(before the start of N addition)showed that the major species in the canopy layer of the rehabilitated forest were P.massoniana,Schima superba Chardn.& Champ.,and Castanopsis chinensis Hance.Disturbed forest was dominated by P.massoniana.Stem density,tree height and diameter at the breast height in the two forests are given in Table1(data from Fang et al.2006).Standingfloor litter measured in June2003was23.7±4.8and20.0±0.4Mg haÀ1 (mean±standard error,n=3)in disturbed and rehabilitated forests,respectively(Fang et al.2006).The soils in both types of forest are oxisols with variable depths.In the rehabilitated forest,depth ranges from30to60cm(to the top of the C horizon), in the disturbed forest the depth is generally less than 30cm(Brown et al.1995;Mo et al.2003).General soil properties were given in Table2(data from Mo et al.2006).Experimental treatmentsNitrogen addition experiments were initiated in both types of forest in2003,2years before the current soil respiration study(Mo et al.2007).Three N addition treatments(each in three replicates)were established in both rehabilitated and disturbed forests:Control (no added N),Low-N(5g N mÀ2yearÀ1),and Medium-N(10g N mÀ2yearÀ1).Total18plots of 20m·10m dimension were established—9in rehabilitated and9in disturbed forest,—each sur-rounded by a10-m wide buffer strip.Field plots andTable1Indices a of the tree layer in a disturbed and a rehabilitated tropical forest in southern ChinaSpecies Stem density(tree haÀ1)Mean height(m)Mean DBH b(cm)Mean age c(years)Basal Area(m2haÀ1)Relative basalarea(%)Disturbed forestPinus massoniana456 6.917.538.313.395.1Other plants311 4.3 4.40.7 4.9Total76714100 Rehabilitated forestPinus massoniana13310.22248.8 5.641Schima superba1567 5.2 6.47.453.6Other plants233 4.2 5.10.8 5.4Total193313.8100a Data is cited from Fang et al.2006b DBH,Diameter at breast heightc Mean age was calculated based on the linear relationship between DBH and age of pine trees in the pine forest of the Dinghushan Biosphere Reserve(Brown et al.,1995)treatments were laid out randomly.NH4NO3solution was sprayed monthly by hand onto the forestfloor as 12equal applications over the entire year beginning in July2003and continued since then.In each plot, fertilizer was weighed,mixed with20l of water,and applied using a backpack sprayer below the canopy. Two passes were made across each plot to ensure an even distribution of fertilizer.The Control plots received20l water with no N added.Field sampling and measurementsSoil respiration measurements began26months after the initial experimental N application.Soil respiration was monitored using the static chamber and gas chromatography techniques.One static chamber was established in each plot at the start of the experiment (15September2005),yielding a sample size of three for each N treatment(and total sample size of18for this study).The chamber was a25-cm-diameter ring permanently anchored5cm into the soil.A fan(5–10cm in diameter)was installed on the top wall of each chamber to make turbulence when air was collected.Duringflux measurements,a30-cm-high chamber top was attached to the ring.Air was sampled from each chamber from09:00to10:00at each sampling date.Diurnal studies in the adjacent forests demonstrated that green house gasfluxes measured from09:00to10:00were close to daily means(Tang et al.2006).Soil respiration was measured once a week during the hot and wet growing season(April–September)and once every other week in the other time.Gas samples were collected with100ml plastic syringes at0,10,20and 30min after the chamber closure and analyzed for CO2within24h using gas chromatography(Agilent 4890D,Agilent A).Gasflux was calculated from the linear regression of concentration versus time using the data points from each chamber to minimize the negative effect of close chamber on CO2production(Keller and Reiners1994;Magill et al.1997;Tang et al.2006).Coefficients of determination(r2)for all linear regression were greater than0.98.Soil temperature and moisture at5cm below surface were monitored at each chamber while gas samples were collected.Soil temperature was mea-sured using a digital thermometer.Volumetric soil moisture(cm3H2O cmÀ3soil)was measured simul-taneously using a PMKit(Tang et al.2006).Three litterfall traps(0.5m·0.5m)with a mesh size of1mm were placed randomly in each plot about0.5m above the ground surface.The traps were emptied once every month during the year.Litterfall was separated into three components:leaf,small woody material(branches and bark),and miscella-neous(mainly reproductive parts).Statistical analysisRepeated measure ANOVA with Tukey’s HSD test was performed to examine the soil respiration rate, soil temperature,soil moisture content and the quantity of litterfall among treatments for the study period from October2005to September2006in each type of the forest.Standard t-test was performed to examine the above measurements in the control plots between rehabilitated forest and disturbed forest. Relationship between soil respiration rates and soil moisture contents was examined with linear regres-sion.After log-transforming the data of soil respira-tion,the least square regression analysis was used to examine the relationship between soil respiration rates and soil temperatures.One-way ANCOVA test was also used to compare the regression slopes among treatments.The Q10-value was obtained from a coefficient,b, in the exponential regression equation(Eq.1) between the soil temperature and respiration rate (Lloyd and Taylor1994):Table2Soil properties(0*10cm depth)of the control plots in disturbed and rehabilitated tropical forests in southern China* Forest type PH(H2O)Total C(mg gÀ1)Total N(mg gÀ1)C/N Available P(mg kgÀ1)Soil bulk density(g cmÀ1)Disturbed 3.93(0.08)22.7(3.1) 1.3(0.1)17.01(1.35) 3.59(0.28) 1.16(0.05) Rehabilitated 3.91(0.03)17.3(1.2) 1.2(0.1)14.39(1.03) 4.21(0.30) 1.22(0.01)*Data are cited from Mo et al.,2006.Values are means with1SE in parentheses,n=3for all samples;measured in July2004R¼a e b Tð1ÞQ10¼e10bð2Þwhere R is the soil respiration rate,T the soil temperature,and a and b are regression coefficients.All analyses were conducted using SPSS10.0 (SPPS,Chicago,III)for windows.Statistical signif-icant differences were set with P-values<0.05unless otherwise stated.ResultsSoil temperature and moistureSoil temperature and moisture(Fig.1a–d)exhibited clear seasonal patterns in all treatment plots in both forests.Soil was hot and wet from April to September (growing season)and became cool and dry from December to February(winter season).There was no significant difference in the annual mean soil temper-ature between disturbed(23.9±0.58C)and rehabil-itated(23.7±0.78C)forests(P=0.831)in the control plots.Mean soil moisture was also similar between disturbed(16.1± 1.0cm3H2O cmÀ3soil)and rehabilitated(15.4±1.3cm3H2O cmÀ3soil)forests (P=0.503)in the control plots.There were no treatment effect on soil temperatures and soil moisture in both forests during the study period(Fig.1a–d). Soil respiration in control plotsSoil respiration in control plots followed a clear seasonal pattern in both forests,with the highest rates observed in the hot and wet growing season and the lowest rates in winter(Fig.1e,f).In control plots of both disturbed and rehabilitated forests,the average soil respiration rates in the growing season were about three times of those in the winter.The seasonal pattern seemed more pronounced in the disturbed forest(highest to lowest ratio of4)than in the rehabilitated forest (ratio of3).However,annual mean soil respiration rate was significantly higher in the rehabilitated forest(89±4mg CO2-C mÀ2hÀ1)than in the disturbed forest(66±4mg CO2-C mÀ2hÀ1) (P<0.001).Soil respiration in the disturbed forest exhibited significant positive exponential relationship with soil temperature(P<0.001,r2=0.74,Fig.2a)and significant positive linear relationship with soil moisture(P<0.001,r2=0.43,Fig.2b).The similar relationships were also found in the rehabilitated forest(exponential relationship with temperature, P<0.001,r2=0.76,Fig.2g;linear relationship with moisture,P<0.001,r2=0.70,Fig.2h).The linear relationship between soil respiration and soil moisture was more pronounced in rehabilitated forest (r2=0.70)than in disturbed forest(r2=0.43). However,the mean temperature coefficient for the respiration rate was slightly higher in disturbed forest (Q10=2.3)than in rehabilitated forest(Q10=2.1). Effects of N addition on soil respirationSoil respiration in plots receiving experimental N inputs in both forests followed similar seasonal patterns,exhibited significant positive exponential response to soil temperature(P<0.001,r2ranging from0.56to0.81)and significant positive linear to soil moisture(P<0.001,r2ranging from0.45to 0.68)(Figs.1,2).The mean temperature coefficient in rehabilitated forest decreased with increasing level of N addition:control plots(Q10=2.1)>low-N (Q10=1.9)>medium-N plots(Q10=1.8),and the difference between control and low-N or medium-N plots was significant(P<0.05).Whereas in disturbed forest,the mean temperature coefficient was similar cross N treatments(Q10was2.3,2.2and2.3for control,low-N and medium-N plots,respectively) (P=0.427).Effects of N addition on soil respiration varied depending on the level of N addition,season and forest type(Fig.1e,f).In rehabilitated forest,annual mean soil respiration rate was20%lower in the low-N plots(71±4mg CO2-C mÀ2hÀ1)and10%lower in the medium-N plots(80±4mg CO2-C mÀ2hÀ1) than in the control plots(89±5mg CO2-C mÀ2hÀ1), and the differences were statistically significant (P=0.003and0.043for low-N and medium-N treatments respectively).The depression of soil respiration by N additions mostly occurred in the growing season(Fig.1f).The mean soil respiration rate in the growing season was27%lower in low-N plots(P=0.001)and9%lower in medium-N plots (P=0.098)than in the control plots,whereas therewere no significant differences(P=0.165)in soil respiration among treatments in winter(Fig.1f).In disturbed forest,although annual mean soil respira-tion rate was5%lower in low-N plots (63±3mg CO2-C mÀ2hÀ1)and8%lower in medium-N plots(61±3mg CO2-C mÀ2hÀ1)than in the control plots(66±4mg CO2-C mÀ2hÀ1),the differences among treatments were not statistically significant(P=0.870)(Fig.1e).LitterfallThe mass of total litterfall in all treatments showed a strong seasonal pattern,with the highest valueobserved in August in both forests(Fig.1g,h).In disturbed forest,annual total litterfall in the control, low-N and medium-N plots was:685±46,600±49 and664±49g mÀ2yearÀ1,respectively,and was not significantly different among treatments(P=0.493). In rehabilitated forest,however,annual total litterfall was significantly higher in low-N plots(P=0.009) and marginally significantly higher in medium-N plots(P=0.053)than in the control plots.Annual total litterfall for control,low-N and medium-N plots in rehabilitated forest was:464±33,651±40and 605±43g mÀ2yearÀ1,respectively.DiscussionSoil respiration in both disturbed and rehabilitated tropical forests followed a similar seasonal pattern, with the highest rates observed in the hot and wet growing season(April–September)and the lowestrates in winter(Fig.1e,f).This is consistent with many results reported in temperate forests(Dong et al.1996;Zhang et al.2001;Bowden et al.2004).In some of these temperate forest studies,the seasonal-ity of soil respiration was interpreted as an effect of temperature only,with no effect of soil moisture (Dong et al.1996;Zhang et al.2001).However,our results showed that soil respiration rates in both forests and under different N treatments exhibited significant positive exponential relationships with soil temperature and significant positive linear relations with soil moisture(P<0.001,Fig.2a–l).Our results are consistent with the results found in three adjacent forests(Tang et al.2006),a tropical forest in the central Amazon(Sotta et al.2004),and a lowland tropical rain forest in southwest Costa Rica(Cleve-land and Townsend2006).The dual temperature and moisture controls on soil respiration in this study likely reflect the monsoon tropical climate of our study region,with a distinct separation of hot and wet season and cool and dry season.The mean temperature coefficient(Q10)for the respiration rate in the control plots was2.3and2.1in disturbed and rehabilitated forests,respectively. These values are similar to that reported in a tropical forest(Q10=2.1±0.03,n=3)but lower than that reported in a temperate forest(Q10=2.9±0.26, n=3)(Bekku et al.2003).The annual mean soil respiration rates in the control plots were66±4and 89±5mg CO2-C mÀ2hÀ1in disturbed and rehabilitated forests,respectively(Fig.1e,f).These values are in the same range as those found in adjacent forests in the same region(45–87mg CO2-C mÀ2hÀ1,Tang et al.2006),in an evergreen tropical forest(82mg CO2-C mÀ2hÀ1,Townsend et al.1995)on the island of Hawaii,and in the same order as those found in tropical forests of South America(51–115mg CO2-C mÀ2hÀ1,Davidson et al.2004;Sotta et al.2004).Contrary to our original hypotheses,we found soil respiration tended to decrease with increasing level of N addition,and the responses to N input were more profound in rehabilitated forest(statistically signifi-cant)than in disturbed forest(Fig.1e,f).No significant effect of N addition on litter production was found in disturbed forest(Fig.1g).However,N addition tended to increase litter production in rehabilitated forest and this increase was statistically significant in low-N plots(P=0.009)and marginally significant in medium-N plots(P=0.053)(Fig.1h). Soil respiration can be separated as heterotrophic (microbial and fungal)respiration and autotrophic (root)respiration(Sotta et al.2004).Raich and Nadelhoffer(1989)proposed that under steady state condition,annual above-and below-ground litter C input should equal soil heterotrophic respiration,thus subtracting above-ground litter C input from total soil respiration equals Cflux from root respiration+root production,which they termed as total root allocation (TRA).It is unlikely a steady state condition can be assumed for our disturbed forest,which has been under continuous litter removal from1930to1998 (see Method).Assuming steady state condition in our rehabilitated forest,we calculated annual TRA (Table3).Nitrogen additions significantly reduced TRA in rehabilitated forest.Thus the reduction of total soil respiration under N additions found in the rehabilitated forest was mainly due to the reduction of root-affiliated Cflux,even though N additions had increased above-ground litter input to the system(andTable3Annual total soil CO2flux,litter input,and estimated total root allocation(mean,SE in parentheses)Control Low-N Medium-NDisturbed forestTotal soil respiration(g CO2-C mÀ2)578(35)552(26)534(26) Abovground Litter input(g mÀ2)685(46)600(49)664(49) Rehabilitated forestTotal soil respiration(g CO2-C mÀ2)780(44)622(35)701(35) Abovground Litter input(g mÀ2)464(33)651(40)605(43)*TRA(g C mÀ2)571(27)329(7)429(26)*TRA was calculated as:‘‘total soil respiration(g CO2-C mÀ2)–0.45·aboveground litter input(g mÀ2)’’.Assuming steady state status between soil heterotrophic respiration and litter input and that45%of the litter decomposition released as CO2-Clikely have increased microbial mediated CO2flux from litter decomposition,Mo et al.2006).Many studies have found chronic N additions could reduce belowground root input(Haynes and Gower1995; Boxman et al.1998),and that could be an important mechanism reducing total soil respiration under elevated N input.If however,experimental N addi-tions in our study increased only above-ground litter production but not soil microbial respiration(thus departure from the steady state),then the TRAs calculated in Table3for low-N and medium-N treatments would be underestimated,but should still lower than in the control plots.We suspect that the different responses of soil respiration to N additions in rehabilitated and disturbed forests may be influenced by the degree of initial soil nutrient status.Bowden et al.(2004) attributed the observed decrease of soil respiration to the changes in root activity associated with nutrient uptake in their study site.A large fraction of root respiration is allocated to N assimilation in N-limited system,but with larger doses of N readily available for uptake,energetic costs of N assimilation may have been reduced(Bowden et al.2004).Our previous study showed that N additions significantly increased litter decomposition in both disturbed and rehabilitated forests,indicating that N was a limiting factor for litter decomposition(Mo et al.2006,2007). However,initial nutrient status was higher in reha-bilitated forest than in disturbed forest(Mo et al. 2003,2006,2007;Fang et al.2006).For example, concentration of soil extractable inorganic N(NH4+-N, NO3À-N,from the upper10cm soil)was higher in rehabilitated forest(6.4mg kgÀ1)than in disturbed forest(5.9mg kgÀ1)(Fang et al.2006).The higher soil N availability in the rehabilitated forest relative to the disturbed forest was also reflected in the N concentration of pine needles.The N concentration of pine needles was significantly higher in the rehabil-itated forest(13.1±0.04mg gÀ1)than in the disturbed forest(12.5±0.05)(P<0.05,Mo et al. 2007).Similarly,the soil available P was higher in the rehabilitated forest(4.21mg kgÀ1)than in the disturbed forest(3.59mg kgÀ1)(Table2),so was the P concentration of pine needles(P<0.01,Mo et al. 2007).The difference in initial nutrient status corre-sponded significantly to higher decomposition rate of pine needles in the rehabilitated forest compare with that in the disturbed forest(Mo et al.2007).The interpretations above suggest that rehabilitated forest may takes less time or less amount of N to eliminate N limitation compare to the disturbed forest.Thus,the continuous experimental N inputs in the previous26months could have reduced total Cflux belowground in the rehabilitated forest(Table3),a response to the more favorable soil nutrient condition, despite that N additions in this study period still stimulated aboveground litter fall production.In disturbed forest where soil nutrient condition is less favorable,continuous N addition may stimulate root growth,benefited from the overall positive effect of N additions on plant growth,or have positive effect on belowground Cflux.This interpretation is consistent with the hypothesis that chronic N additions to N-limited forest soil would initially stimulate soil microbial activity,but over time would result in a carbon-limited state after microbial demand for N was satisfied(Aber et al.1989).The decreased respiration in rehabilitated forest was similar to the results found in several studies in temperate forests,in those studies soil respiration rates were found to decrease signifi-cantly in N addition plots after one or two years of N fertilization(Bowden et al.2000,2004;Maier and Kress,2000;Burton et al.2004;Micks et al.2004). ConclusionsIn summary,soil respiration exhibited a strong seasonal pattern,with the highest rates observed in the hot and wet growing season and the lowest rates in winter season for both rehabilitated and disturbed forests.Both soil temperature and soil moisture were driving factors on soil respiration in our study forests. Soil respiration was significantly higher in rehabili-tated forest than in disturbed forest.Nitrogen addi-tions had no significant effect on soil respiration in disturbed forest,but significantly decreased soil respiration in rehabilitated forest.The depressed effects occurred mostly in the hot and wet growing season and may due to the significant reduction of root allocation of C.Our results suggest that response of soil respiration to elevated N deposition in the reforested tropical forests may vary depending on the status of human disturbance and associated change of belowground processes.。

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