48 resultados para land cover change
Resumo:
Rapid urbanization and industrialization in southern Jiangsu Province have consumed a huge amount of arable land. Through comparative analysis of land cover maps derived from TM images in 1990, 2000 and 2006, we identified the trend of arable land loss. It is found that most arable land is lost to urbanization and rural settlements development. Urban settlements, rural settlements, and industrial park-mine-transport land increased, respectively, by 87 997 ha (174.65%), 81 041 ha (104.52%), and 12 692 ha (397.99%) from 1990 to 2006. Most of the source (e.g., change from) land covers are rice paddy fields and dryland. These two covers contributed to newly urbanized areas by 37.12% and 73.52% during 1990-2000, and 46.39% and 38.86% during 2000-2006. However, the loss of arable land is weakly correlated with ecological service value, per capita net income of farmers, but positively with grain yield for some counties. Most areas in the study site have a low arable land depletion rate and a high potential for sustainable development. More attention should be directed at those counties that have a high depletion rate but a low potential for sustainable development. Rural settlements should be controlled and rationalized through legislative measures to achieve harmonious development between urban and rural areas, and sustainable development for rural areas with a minimal impact on the ecoenvironment. (C) 2009 Elsevier Ltd. All rights reserved.
Resumo:
黄土高原沟壑区王东沟流域从1986年至2006年的土地利用/覆被发生了较大变化,土地利用动态指数分别为:耕地3.21%,园地-36.11%,林地-4.05%,牧草地4.24%,居民点及独立工矿用地-0.62%,交通运输用地-12.27%,未利用地1.85%;变化趋势是:耕地逐年向园地流转,园地变化烈度较大,其他各类用地变化不太显著。引起这一变化的主要因素是自然、社会、经济、技术以及政策因素。结合这一变化,针对黄土高原沟壑区的实际情况,在黄土高原沟壑区土地利用经营与管理方面,应重视土地产出效益与粮食安全的关系,在保障区域粮食安全的基础上实现效益最大化。
Resumo:
以黄河中游河龙区间为研究区,以水土流失综合治理及生态环境建设导致的土地利用/覆被变化为背景,采用非参数统计法,基于区内38个水文站20世纪50年代至2000年水文数据,分析流域年径流对土地利用/覆被变化响应的时空变异特征,估算影响因素贡献率。结果表明:其中29条流域年径流量呈显著减少趋势,变率为0.17~2.61 mm/a;28条流域年径流量具有显著跃变时间,无定河流域各水文站跃变时间多在1970—1973年间,其余则多为1978—1985年,最晚为1994年;在5%、50%和95%的发生频率上,跃变前后时段年径流量减少幅度以30%~60%普遍,最大分别为73.2%、63.5%和69.7%;河龙区间整体呈显著减少趋势,变率为0.79 mm/a,跃变时间发生在1979年,3个频率上的减少幅度分别为46.5%、42.4%和24.1%。估算的11条流域中有9条土地利用/覆被变化等人类活动对流域径流减少影响程度超过50%。水土保持措施面积的增加,尤其淤地坝等水利水保工程措施的持续修建,对区域地表径流变化具有明显影响。
Resumo:
分布式水文模型以其具有明确物理意义的参数结构和对空间分异性的全面反映,能够准确详尽地描述和模拟流域内真实的降水径流过程而被广泛需求和关注。在模拟土地利用、土地覆盖、水土流失等各种变化过程的水文响应,面源污染、陆面过程、气候变化影响评价等诸多领域都有广泛的应用。模型的预报精度和误差至关重要,决定了模型的应用和推广。在分析分布式水文模型建立和验证过程的基础上,提出了模型的4类误差来源:被排除在外的因素引起的误差,实测历史记录资料的随机或系统误差,参数误差和模型结构误差,讨论了各类误差的分析与计算方法,为模型的发展和成长提供了依据。
Resumo:
LUCC是全球变化研究的核心主题之一,也是社会经济可持续发展的关键问题。改革开放后四川的社会经济发展非常快,在各种因素的驱动下,土地利用/覆盖发生了深刻变化。目前四川省缺乏基于实际调查数据的、全域性的、具有连续时间序列的LUCC和驱动力分析及土地可持续利用研究成果,这对我们从全局上把握全省土地利用现状、发展变化趋势,利用土地政策参与宏观调控,实现长期可持续发展目标,建设资源节约型、环境友好型社会极为不利。本研究针对这一问题,选取全川八大土地利用类型作为研究对象,研究了全省1996年到2006年的土地利用/覆盖格局和变化情况,分析了不同尺度的驱动因素,对全省农用地和建设用地的集约利用状况、潜力进行了分析评价,并提出相应的对策措施。 1.1996年-2006年10年来整个省域的土地利用/覆盖格局变化。 (1)1996年-2006年全省的土地利用/覆盖格局 1996年,全省是一个以农用地为主的土地利用/覆盖格局,林地和牧草地属于优势覆盖类型(合占69.17%),居民点及工矿用地和交通用地合占只有3%左右。 2000年的LUCC格局较为明显的特点是耕地所占比重下降0.4个百分点,水域和未利用土地所占比重有所下降,牧草地保持不变,其余地类所占比重有所上升。 与2000年相比,2004年林草地的优势格局进一步得到强化(合占比重达到70.23%)。耕地面积占幅员面积的比重下降0.83个百分点,略有下降的有未利用土地、水域和牧草地。值得关注的是在“退耕还林还草”的大背景下,牧草地占幅员面积的比重下降0.04个百分点。 到2006年,仍为林草地为主导优势的格局,二者合占上升0.15%。在城市化快速推进的背景下,居民点及工矿用地中的城市用地和建制镇用地占比重超过15%,农村居民点占比重降至76%。交通用地中农村道路占比重降至57.8%,公路用地占比重升至37.5%。五个地貌区的土地利用/覆盖格局与全省的变化基本一致。值得关注的是盆西平原区的交通用地上升幅度和盆地丘陵区的未利用土地的开发利用力度明显大于其它地貌区。 (2)1996-2006年10年间土地利用/覆盖格局的变化 1996-2000年4年间,耕地、水域和未利用地三个地类下降,年均减少0.75、0.19和0.32个百分点。其中耕地年均减少49229.0公顷,约一半流向林地,13.77%流向园地,约20%流向建设用地。另外5个地类面积增长,增长绝对量最大的是林地,年均增长40063.7公顷,交通用地增幅最大,4年年均增长达1.95%。 2001-2004年是西部大开发逐步推进、“退耕还林还草”项目全面展开和土地整理深入实施的关键期,LUCC更为深刻。耕地、未利用地、水域和牧草地四个地类面积下降,其余地类按增长幅度依次是园地、交通用地、居民点及工矿用地和林地。耕地加速下降,年均降幅达到1.59%,其减少去向主要是林地(占66.75%)和园地(占19.84%),其增加来源主要是未利用地、园地和水域。交通用地的增幅最大,为3.96%,其增加主要来源于耕地、未利用土地和林地,分别占49.96%、16.63%和13.09%。居民点及工矿用地增长幅度为3.12%。 从1996年到2006年的10年间,耕地、未利用地、水域和牧草地下降幅度分别为10.36%、3.61%、1.34%和0.26%。园地增幅达23.61%。绝对面积增长最大的则是林地,达630733.3公顷。交通用地和居民点及工矿用地增幅也较大,分别为15.00%和9.31%。 10年间年均总变化量为310326.6公顷,2000年-2004年之间变化最大(为356865.8公顷),高于平均变化量,而1996-2000年间和2004-2006年间都小于平均变化量。 (3)10年间不同地貌区的LUCC变化 盆西平原区的特点是园地大幅上升达77%,居民点及工矿用地和交通用地也大幅上升,耕地、未利用地下降幅度大,该区耕地、水域、未利用地的减少强度和园地、居民点及工矿用地、交通用地的上升强度均居五区第一;盆地丘陵区的特点是牧草地下降幅度大,为-36.89%,交通用地、园地和林地上升幅度较大,该区耕地减少、未利用地减少、林地增加、居民点及工矿用地和交通用地增加的变化强度均居五区相应地类增减的第二位;盆周山地区的特点是耕地减少较多,交通用地和园地增长较大,该区林地变化强度居各区第一位,牧草地和水域变化强度居各区第二位,耕地、居民点及工矿用地和未利用地居各区第三位;川西南山地区的特点是园地、耕地、交通用地和居民点及工矿用地变化幅度大,另外四个地类变化较小。该区减少的牧草地占全省牧草地减少的97.91%,变化强度居各个地貌区的第一位,园地相对变化强度居五区的第二位;川西北高山高原区的特点是耕地大幅下降、园地大幅上升,交通用地升幅也较大,其余地类变化不大。值得注意的是,该区牧草地和水域面积增加,与全省该地类的变化相反。其余地类的相对变化强度均是五个地貌区中最小的。 用变化强度分值考量变化强度,盆西平原区的变化强度最大,盆地丘陵区和盆周山地区的变化强度相当,川西北高山高原区的变化强度则要小得多。 (4)1996年及2006年全省土地利用/覆盖格局的景观生态学分析 全省是以自然景观占优势(占约70%)、农业景观为补充、建设用地景观居于从属地位的土地利用景观格局。景观多样性和均匀度不高。到2006年,全省总的景观格局并无大的改变。总体情况是随着时间的推移和人类活动的加强,区内景观优势度上升、多样性和均匀度变小。但斑块数减少,斑块面积和斑块孔隙度有所增大。斑块的形状指数和分维数均有所下降,表明受人为干扰有加剧的趋势。反映景观格局结构的破碎度指数有轻微下降。景观指数的变化表明全省土地利用有缓慢集中、规模聚集的趋势。 (5)三大生态建设工程对土地利用/覆盖变化的影响 1996-2006年间LUCC与三大生态建设工程实施的耦合分析,发现退耕工程对耕地、林地、牧草地等地类覆盖变化的影响最大,天保工程次之,长防工程最小。 2.四川省LUCC驱动力分析 (1)总体分析: 从整体上分析,人为因素对区域整体LUCC的影响从1996年的63.32%增加到2006年的66.99%,变得日益强烈。同时人为因素影响强度表现出明显的区域差异,地势平缓、经济区位条件好的区域其人为影响强度明显较高。 政策体制转变下的经济高速增长、快速的城市化、工业化过程和生态建设是四川省LUCC宏观尺度的驱动因素。区域的LUCC主要受到了由内向外(从城市到乡村)和由外向内(从山顶向平地)两种作用力的共同推动。局部尺度上,如距离交通线、水利线、中心城市的远近,地形凸起、大型独立项目落址、重污染项目的阻隔等,甚至一些乡规民俗等因素也会成为LUCC的驱动影响因素。在较小的尺度上,人类个体行为选择对LUCC的影响也是存在的。 根据驱动因子的特性作者将其划分为驱变、阻变、良性、惰性因子等类型。 (2)分地貌区的驱动因子分析 各地貌区都存在城市化、工业化、生态工程实施、自然灾害等驱动因子,但主次不一。对于盆西平原和盆地丘陵区,城市化、工业化是前两位的因子,而对另外三个地貌区,生态工程实施和产业结构调整则成为第第一、二位的驱动因子。 (3)分地类的驱动因子分析(以坡耕地为例) 分坡度的耕地变化分析发现,耕地减少主要集中在2°以下的平地、15°-25°和25°以上三个坡度级,是其它坡度级耕地减幅的三倍左右。这表明耕地减少受城市化进程和“退耕还林还草”工程驱动影响尤为巨大。 3.土地利用格局优化、集约利用评价和可持续利用及对策研究 (1)土地利用格局优化的战略选择及调整预测 土地利用格局调整的战略是农业生产用地、建设用地和生态及其他用地占幅员的比重分别稳定在13%、7%和80%左右,重点是三大类别内部二级和三级地类的合理调整。 (2)全省土地集约利用评价 全省农用地利用集约度为0.46,总体上集约度不高,处于较适度利用阶段。建设用地利用集约度为0.38,处于较适度利用阶段。集约利用提升空间较大。 农用地的潜力主要在于加强土地保育、完善利用制度、提高单产。城市建设用地的包括存量潜力、强度潜力、结构潜力,空间很大。农村居民点整理潜力可以逐步挖掘。 (3)新增建设用地集约利用的统筹安排 据测算,到2020年,四川省城市建设用地需求量在463850-492360hm2之间,城镇各业新增建设用地规模为361276.79hm2,占用耕地200565.94 hm2。2004-2020年间四川省农村居民点整理潜力33.86万hm2。农村居民点建设用地需求量为70.57万公顷。 (4)土地集约利用措施与坡耕地可持续利用战略 提出了土地集约利用的措施。在对坡耕地生态系统结构与功能分析的基础上,提出坡耕地可持续利用战略与生态恢复战略,并从技术和政策层面提出了坡耕地合理利用和生态退耕的措施和建议。 LUCC is one of the key questions of global change and sustainable development of society. After the opening and reform of China, the society and economy of Sichuan Province developed very fast ,the land-use/cover changed very strong droved by many factors .But nowadays we have no constant spatial-temporal study and driving force analysis about the whole province based on investigation. And it is lack of land sustainable utilization study based on correlative study. So we choose all the land resource in Sichuan, combine RS and GIS and field investigation, and take statistic-mathematic means and system analysis, to study the LUCC patterns and different scale driving force of different physiognomy regions, land cover types and periods; to analyze the current situation and potential of land resource intensive utilization, and gave out corresponding measurements. We found that forest and grassland are the dominant cover types of Sichuan provincial land –use/cover pattern, and becoming more and more stronger from 1996 to 2006,the natural landscape is the metric and occupy 70%,the diversity and evenness index are not high; the totally change quantity from 2000 to 2004 is the biggest; cultivated land especially steep cultivated land ,garden plot, forestry land ,settlement and industry land and traffic land changed relative stronger; among five physiognomy regions ,the changing intensity of PEN XI PING YUAN QU is the biggest, CHUAN XI BEI GAO SHAN GAO QU is smallest; under the background of policy system changing, the fast developing of economy, fast urbanization and industrialization and ecology construction are the macro-scale driving force of Sichuan provincial LUCC; to compare the impacts of “TUI GENG GONG CHENG” on LUCC especially to cultivated land ,forestry land and grassland is strongest, “TIAN BAO GONG CHENG ” is stronger,“ HANG FANG GONG CHENG” is smallest; the intensive utilization level of farmland and construction land of whole province is relative moderation, there is huge potential to excavate and fulfill the increasing demand of construction land;we must take synthetic measurements to accelerate the sustainable utilization of land resource, including administrative, economical ,technological and ecological policies.
Resumo:
Afforestation in China's subtropics plays an important role in sequestering CO2 from the atmosphere and in storage of soil carbon (C). Compared with natural forests, plantation forests have lower soil organic carbon (SOC) content and great potential to store more C. To better evaluate the effects of afforestation on soil C turnover, we investigated SOC and its stable C isotope (delta C-13) composition in three planted forests at Qianyanzhou Ecological Experimental Station in southern China. Litter and soil samples were collected and analyzed for total organic C, delta C-13 and total nitrogen. Similarly to the vertical distribution of SOC in natural forests, SOC concentrations decrease exponentially with depth. The land cover type (grassland) before plantation had a significant influence on the vertical distribution of SOC. The SOC delta C-13 composition of the upper soil layer of two plantation forests has been mainly affected by the grass biomass C-13 composition. Soil profiles with a change in photosynthetic pathway had a more complex C-13 isotope composition distribution. During the 20 years after plantation establishment, the soil organic matter sources influenced both the delta C-13 distribution with depth, and C replacement. The upper soil layer SOC turnover in masson pine (a mean 34% of replacement in the 10 cm after 20 years) was more than twice as fast as that of slash pine (16% of replacement) under subtropical conditions. The results demonstrate that masson pine and slash pine plantations cannot rapidly sequester SOC into long-term storage pools in subtropical China.
Resumo:
Using meteorological data and RS dynamic land-use observation data set, the potential land productivity that is limited by solar radiation and temperature is estimated and the impacts of recent LUCC processes on it are analyzed in this paper. The results show that the influence of LUCC processes on potential land productivity change has extensive and unbalanced characteristics. It generally reduces the productivity in South China and increases it in North China, and the overall effect is increasing the total productivity by 26.22 million tons. The farmland reclamation and original farmlands losses are the primary causes that led potential land productivity to change. The reclamation mostly distributed in arable-pasture and arable-forest transitional zones and oasises in northwestern China has made total productivity increase by 83.35 million tons, accounting for 3.50% of the overall output. The losses of original farmlands driven by built-up areas invading and occupying arable land are mostly distributed in the regions which have rapid economic development, e.g. Huang-Huai-Hai plain, Yangtze River delta, Zhujiang delta, central part of Gansu, southeast coastal region, southeast of Sichuan Basin and Urumqi-Shihezi. It has led the total productivity to decrease 57.13 million tons, which is 2.40% of the overall output.
Resumo:
Land-cover changes in China are being powered by demand for food for its growing population and by the nation's transition from a largely rural society to one in which more than half of its people are expected to live in cities within two decades. Here we use an analysis of remotely sensed data gathered between 1990 and 2000, to map the magnitude and pattern of changes such as the conversion of grasslands and forests to croplands and the loss of croplands to urban expansion. With high-resolution ( 30 m) imagery from Landsat TM for the entire country, we show that between 1990 and 2000 the cropland area increased by 2.99 million hectares and urban areas increased by 0.82 million hectares. In northern China, large areas of woodlands, grasslands and wetlands were converted to croplands, while in southern China large areas of croplands were converted to urban areas. The land-cover products presented here give the Chinese government and international community, for the first time, an unambiguous understanding of the degree to which the nation's landscape is being altered. Documentation of these changes in a reliable and spatially explicit way forms the foundation for management of China's environment over the coming decades.
Resumo:
The large uncertainties in estimates of cropland area in China may have significant implications for major cross-cutting themes of global environmental change-food production and trade, water resources, and the carbon and nitrogen cycles. Many earlier studies have indicated significant under-reporting of cropland area in China from official agricultural census statistics datasets. Space-borne remote sensing analyses provide an alternative and independent approach for estimating cropland area in China. In this study, we report estimates of cropland area from the National Land Cover Dataset (NLCD-96) at the 1:100,000 scale, which was generated by a multi-year National Land Cover Project in China through visual interpretation and digitization of Landsat TM images acquired mostly in 1995 and 1996. We compared the NLCD-96 dataset to another land cover dataset at I-km spatial resolution (the IGBP DIScover dataset version 2.0), which was generated from monthly Advanced Very High Resolution Radiometer (AVHRR)-derived Normalized Difference Vegetation Index (NDVI) from April, 1992 to March, 1993. The data comparison highlighted the limitation and uncertainty of cropland area estimates from the DIScover dataset. (C) 2003 Elsevier Science B.V. All rights reserved.
Resumo:
GIMMS NDVI database and geo-statistics were used to depict the spatial distribution and temporal stability of NDVI on the Mongolian Plateau. The results demonstrated that: (1) Regions of interest with high NDVI indices were distributed primarily in forested mountainous regions of the east and the north, areas with low NDVI indices were primarily distributed in the Gobi desert regions of the west and the southwest, and areas with moderate NDVI values were mainly distributed in a middle steppe strap from northwest to southeast. (2) The maximum NDVI values maintained for the past 22 years showed little variation. The average NDVI variance coefficient for the 22-year period was 15.2%. (3) NDVI distribution and vegetation cover showed spatial autocorrelations on a global scale. NDVI patterns from the vegetation cover also demonstrated anisotropy; a higher positive spatial correlation was indicated in a NW-SE direction, which suggested that vegetation cover in a NW-SE direction maintained increased integrity, and vegetation assemblage was mainly distributed in the same specific direction. (4) The NDVI spatial distribution was mainly controlled by structural factors, 88.7% of the total spatial variation was influenced by structural and 11.3% by random factors. And the global autocorrelation distance was 1178 km, and the average vegetation patch length (NW-SE) to width (NE-SW) ratio was approximately 2.4:1.0.
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Reducing uncertainties in the estimation of land surface evapotranspiration (ET) from remote-sensing data is essential to better understand earth-atmosphere interactions. This paper demonstrates the applicability of temperature-vegetation index triangle (T-s-VI) method in estimating regional ET and evaporative fraction (EF, defined as the ratio of latent heat flux to surface available energy) from MODIS/Terra and MODIS/Aqua products in a semiarid region. We have compared the satellite-based estimates of ET and EF with eddy covariance measurements made over 4 years at two semiarid grassland sites: Audubon Ranch (AR) and Kendall Grassland (KG). The lack of closure in the eddy covariance measured surface energy components is shown to be more serious at MODIS/Aqua overpass time than that at MODIS/Terra overpass time for both AR and KG sites. The T-s-VI-derived EF could reproduce in situ EF reasonably well with BIAS and root-mean-square difference (RMSD) of less than 0.07 and 0.13, respectively. Surface net radiation has been shown to be systematically overestimated by as large as about 60 W/m(2). Satisfactory validation results of the T-s-VI-derived sensible and latent heat fluxes have been obtained with RMSD within 54 W/m(2). The simplicity and yet easy use of the T-s-VI triangle method show a great potential in estimating regional ET with highly acceptable accuracy that is of critical significance in better understanding water and energy budgets on the Earth. Nevertheless, more validation work should be carried out over various climatic regions and under other different land use/land cover conditions in the future.
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The Otindag sandy land and the Guyuan region of Hebei Province lie in the agro-pastoral zone, where sandy desertification is serious. So they are typical for us to study on. In this paper, detail investigation were made on the Remote Sensing, Hydrochemistry, Chronology, grain size analyzing of research region to monitor sandy desertification and environmental background. The main conclusions are presented as following: 1. According to the diverse natural condition, the research area is divided into three types as sandy land desertification, cultivated land desertification and desertification reflected by lake change. The monitoring result of the first type shows that the main performance way of the sandy desertification in Otindag sandy land is that (1) the expansion of both the shifting dune and the half fixed sandy dune, (2) the reduce of the fixed sandy dune. While the result of the second type shows (1) the desertification land in the Guyuan region has first increasing then reducing change for about 30 years. (2) The sand mainly concentrates west of the research area and small part of wind-drift sand distributes northeast the research area with the spot shape. (3) The meadow area increases obviously. As far as the third type, the Dalai Nur lake area occurs first expanding then reducing change and the wind-drift sand around the lake first reduces then increases. 2. The land cover of the different types change with the same law. It is worth notice that the lake area changes oppositely with that of the wind-drift sand. 3. For about 5,000 a B.P. -2800 a B.P., the well developed palaeosols emerged. After that, three layer palaeosols were founded in the profile of Otindag sandy land. The analyses of grain size show that the sand grains of the south were coarser than that of the north. The sand in the north and middle were well sorted, while the south poor sorted. 4. Both the natural and human impact on the process of sandy desertification. On this research result, different regions have different influences. So the measures to improve sandy desertification should be choosed respectively.
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树木年轮生态学是利用树木年轮来评价生态环境及其变化的学科,其基本依据是系列年轮宽度和结构特征的变化。一般情况下,半干旱草原的环境条件不适宜树木的生长,但在我国内蒙古锡林河流域的草原沙地上,存留着一片天然白扦林,它们被认为是第四纪早期的残遗植被。鉴于锡林河流域半干旱的环境条件已接近白扦的生存界限,此片残遗白扦林可认为是进行树木年轮生态学研究的理想材料。 本文应用树木年轮生态学的方法,结合木材解剖、气候资料、历史文献记录等,研究了这片残遗白扦林中白扦的生长与环境、年龄结构与环境干扰事件、白扦年轮宽度与羊草地上生物量的关系,以及全球变暖可能对该白扦林的影响等。主要结果归纳如下: 1)依据国际树木年轮库的标准,建立了65年的白扦标准年轮年表。年表的平均序列相关系数为0.47,信噪比为14.44,平均敏感度为0.18。白扦的年轮宽度年表与上年9月、当年2、5月份的降雨量之间存在显著的正相关关系。 2)通过对白扦年轮结构的观察确认,1966、1968、1972年存在高频率的窄年轮,这些年轮通常仅有两至三层晚材细胞,因此可以认为它是一类特殊的树木年轮一浅轮。 3)白扦的年轮分析结果显示,锡林河流域的小片白扦林可能形成于20世纪20年代末至30年代初期。白扦年表( XLPI)与大青山(HHT)油松、准格尔旗(JGB)油松以及白云敖包(BYAB)红杆云杉年表之间存在显著的正相关关系;尤其值得提出的是,在20世纪20年代,HHT、JGB和BYAB年表都同时出现明显的生长下降现象。 4)根据相关函数的分析,羊草的生长对当年5月份、7-8月份的降雨量较为敏感,与白扦的年轮宽度之间也存在两组显著的生长关系。基于这两种生长关系和白扦年轮宽度序列,本文重建了1955-1994年的羊草地上生物量动态。 5)当地气象资料显示,近40年来锡林河流域的年平均温度和各季节平均温度都呈增加的趋势,但只有夏季平均温度与白扦的年轮宽度之间存在显著的负相关关系。本文研究也发现白扦的生长与5月份的平均温度、平均最高温度以及5、6月份的极端最高温度之间存在着显著的负相关关系。 白扦标准年轮年表的统计特征表明,锡林河流域残遗白扦年轮序列包含丰富的环境信息,适合于树木年轮生态学的研究。白扦5月份开始生长,此时的降雨是最显著的生长限制因子,从而造成了白扦年轮年表与5月份降雨量之间的显著正相关关系。8-10月份,锡林河流域的降雨为全年降雨量的1/3,由于沙地土壤可以减少地面径流和有效防止土壤水分蒸发,所以此阶段内的降雨能存留在沙地内,以供笠年白扦生长发育的需要。因此,这种降雨分布和沙地基质的特征可能是白扦在年蒸发量为降雨量4-5倍的锡林河流域仍能正常生长的主要原因。 1966、1968和1972年浅轮的出现与前年和当年的特殊气候有关。气候资料的分析表明,这三年的上年生长季末至当年生长季都干旱少雨,并且生长季后期伴随着异常高温天气,这种干旱伴随高温的气候特点是造成白扦浅轮的主要因素。因此,白扦浅轮与亚北极区针叶树浅轮的发生机理是完全不同的,为迸一步研究浅轮的形成机制提供了新线索。 白扦年表与HHT、JGB和BYAB年表之间的年轮宽度变化的同步性显示,这些年表能间接地反映30年代以前造成白扦林较小年龄结构的环境干扰事件,降雨是华北半干旱区树木最突出的生长限制因子,在20世纪20年代,HHT、JGB和BYAB年表同时出现的生长下降,反映了该时期华北地区可能发生了大范围的旱灾,这一结论也为历史资料所证明。20年代白扦林的消失以及30年代后这片天然白扦林的重新出现表明了,20年代的旱灾可能是影响白扦年龄结构的主要干扰事件,它还有可能是造成白扦成片死亡的直接原因。 在锡林河流域,7-8月份是降雨最充沛的时期。相关分析表明,建群种羊草能充分利用这一水热配比最佳的时期快速生长,但白扦对当年7-8月份的降雨反应却不敏感,而与上年8-10月份的降雨量之间有显著的正相关关系。这些都证明白扦和羊草对半干旱草原环境具有不同的适应方式。羊草地上生物量与白扦年轮宽度之间的两组显著的关系可归结于两种季节降雨分配模式,它为利用白扦年轮宽度重建羊草的地上生物量的变化奠定了基础。羊草产量的重建不仅延长了锡林河流域草产量的记录,而且还开拓了用年轮宽度重建草产量的方法。 白扦年表与温度变量之间的相关分析进一步表明,不同季节温度的升高对白扦的生长产生不同的影响,尤其是夏季温度的变化,可以直接影响白扦的生长。白扦年表与5月份温度资料之间的相关分析还揭示,用月平均最高和最低温度来替代月平均温度更能说明温度变化对树木生长的影响。5、6月份是锡林河流域白扦形成层活动较旺盛的时期,因此,这期间极端高温严重影响白扦的生长。近40年来,随着大气温度的升高,白扦受到日益严重的干旱胁迫影响。如果大气变暖的趋势继续发展下去,最终将有可能导致这片残遗白扦林从锡林河流域消失
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土地利用变化,尤其是热带地区森林生态系统土地利用方式的变化极大地改变了全球碳循环,对大气CO2浓度的升高,气候变暖等全球性环境问题起着不可忽视的作用。同时,森林的大面积破坏,引起土壤流失,营养元素含量降低,土壤健康状况恶化,最终大幅度降低生态系统的生产力。本文主要结合野外实地调查和室内分析的方法,研究森林砍伐后转变为农田和橡胶园对西双版纳热带地区土壤碳、氮、磷含量以及有机质化学结构的影响,天然次生林恢复、橡胶园建设对大气CO2的蓄积作用。 森林砍伐后转变为农田和橡胶园,显著地改变了土壤的理化特性。研究结果表明,与次生林相比,农田和橡胶园表层土壤容重、pH值升高,含水量降低,有机质、全氮、全磷、速效氮、有效磷含量显著降低。土地利用变化对土壤特性的影响主要发生在0-40 cm 表层土壤,而对40 cm以下土层影响较小。 土地利用变化改变土壤碳含量,同时影响土壤有机质的化学结构。胡敏酸紫外-可见光谱(UV-VIS)、傅利叶变换红外光谱 (FT-IR) 分析发现,不同生态系统表层土壤 (0-20 cm) 胡敏酸光谱学特性存在明显差异。次生林E4/E6值高于农田和橡胶园。与次生林相比,农田和橡胶园表层土壤有机质中酚基相对含量显著降低,脂肪族、芳香族、羧基以及多聚糖等化合物相对含量增加。 运用样地调查、生物量模型模拟和室内土壤样品分析方法,研究了次生林恢复和橡胶园建设对大气CO2的汇集作用。结果表明:退化土壤恢复为次生林、农田建设橡胶园能够有效促进植被和土壤中碳的汇集。次生林和橡胶林生物量增长速率分别为9.8,10.2 (9.4)t•ha-1•yr-1, 1 m表层土壤有机碳汇集速率分别为0.7和1.1 t•C•ha-1•yr-1。模拟结果显示,40年橡胶林生物量为327 (324) t•ha-1, 恢复50年后天然次生林生物量为395 t•ha-1。加之土壤有机碳,40年橡胶园约汇集碳190 t•ha-1, 次生林恢复50年碳汇集潜力为250 t•ha-1。