Modelling atmospheric and hydrologic processes for assessment of meadow restoration impact on flow and sediment in a sparsely gauged California watershed

The restoration of meadowland using the pond and plug technique of gully elimination was performed in a 9‐mile segment along Last Chance Creek, Feather River Basin, California, in order to rehabilitate floodplain functions such as mitigating floods, retaining groundwater, and reducing sediment yield associated with bank erosion and to significantly alter the hydrologic regime. However, because the atmospheric and hydrological conditions have evolved over the restoration period, it was difficult to obtain a comprehensible evaluation of the impact of restoration activities by means of field measurements. In this paper, a new use of physically based models for environmental assessment is described. The atmospheric conditions over the sparsely gauged Last Chance Creek watershed (which does not have any precipitation or weather stations) during the combined historical critical dry and wet period (1982–1993) were reconstructed over the whole watershed using the atmospheric fifth‐generation mesoscale model driven with the US National Center for Atmospheric Research and US National Center for Environmental Prediction reanalysis data. Using the downscaled atmospheric data as its input, the watershed environmental hydrology (WEHY) model was applied to this watershed. All physical parameters of the WEHY model were derived from the existing geographic information system and satellite‐driven data sets. By comparing the prerestoration and postrestoration simulation results under the identical atmospheric conditions, a more complete environmental assessment of the restoration project was made. Model results indicate that the flood peak may be reduced by 10–20% during the wet year and the baseflow may be enhanced by 10–20% during the following dry seasons (summer to fall) in the postrestoration condition. The model results also showed that the hydrologic impact of the land management associated with the restoration mitigates bank erosion and sediment discharge during winter storm events. Copyright © 2013 John Wiley & Sons, Ltd.     

1991—2015年三江源河曲高寒草甸干湿状况及牧草产量变化的气候归因研究

以三江源东部河曲高寒草甸为研究对象,通过分析1991—2015年气温、降水、潜在蒸散、湿润指数和牧草产量变化特征,探讨了地区干湿状况对牧草产量的影响。研究表明：1991—2015年河曲高寒草甸潜在蒸散以3.5 mm·a^-1的速率增加（P<0.01）,在年降水量按2.3 mm·a^-1呈非显著性（P>0.05）增加的趋势下,地区干湿状况基本保持平稳（多年均值为0.52）,隶属于半湿润气候区。25年来牧草干重产量平均为303.7 g·m^-2,并以3.0 g·m^-2·a^-1的速率下降。分析牧草产量与影响干湿状况的气候因素之间的相关性发现,气温对牧草产量影响不明显（P>0.05）,降水量表现为正相关关系（P>0.10）,说明该区域降水是牧草产量提高与否的主导因素;牧草产量与潜在蒸散表现为负相关关系（P>0.10）,与湿润指数表现为正相关关系（P>0.10）;在生长季时期,牧草产量与降水量、潜在蒸散和湿润指数的相关性关系达到了显著水平（P<0.10）,说明牧草产量在生长季对地区环境条件湿润与否较为敏感。     

GF-3全极化影像在地表浅覆盖区进行地质构造解译的新方法

地质构造信息对地质矿产调查具有重要意义,野外实测和光学遥感等常规手段在一些地表浅覆盖区获取的地质构造信息十分有限,而合成孔径雷达(SAR)对地表具有一定的穿透性,在探测地表浅层覆盖区域的地质构造特征中具有独特优势。利用高分三号(GF-3)全极化影像,在典型的地表浅层覆盖区域,开展了断裂构造等信息的解译探索,提出了一种地表浅覆盖区域地质构造解译的新方法。首先对西藏改则、林芝、贵阳、北京千家店等4个研究区内的断裂构造和环带构造进行分析;接着,提出了GF-3全极化影像用于浅覆盖区地质解译的处理流程,通过引入DEM数据对GF-3影像进行地形校正,充分利用微地形微地貌特征,并采用不同极化方式的RGB合成,增强了影像的判读性,并进行地质构造解译;最后,将解译结果与1∶5万实测数据进行对比,断层的位置和方向与实测结果基本一致,同时获取了大量野外实测未能探明的浅覆盖层以下的断层信息,进一步丰富了研究区的地质构造信息。结果表明,GF-3全极化影像可用于浅覆盖区的地质构造解译,并且具有野外实测和光学遥感等常规手段所不能替代的独特优势。     

海洋生物诞生过程、新资源发掘与高值利用

本文以46亿年来地球、海洋及生命的形成与演化为主线,简要回顾了生命体由简单到复杂、从低级向高级、从水生到陆生逐级演化的历史进程,以及重大环境变化事件对生物毁灭性灭绝、生物适应与多样性演化的影响,阐明海洋尤其热带海洋在生命诞生、孕育及庇护等过程中所发挥的不可替代作用。同时,分析了热带海洋生物资源多样性中心形成的重要自然环境因素及可能机制。并针对印太交汇区深海极端环境微生物生态系统、浅海典型的海草/藻床、珊瑚礁、生物多样性和热带渔业资源,论述了热带海洋生物多样性资源的保护、发掘与高值开发利用。     

澜沧江上游德钦县亚高山、高山草地群落类型及其特点

摘要：采用样方调查方法获得94个草地群落样方,对澜沧江上游德钦县亚高山、高山草地群落类型及其特点进行了初步分析。结果表明,该县亚高山、高山草地群落类型存在20个类型。在放牧干扰下,大多数群落类型处于退化状态,相互之间存在明显的群落替代关系;调查发现群落中每平方米内平均含8种草本植物,平均盖度62．4％,地上平均生物量是4859kg／hm^2,平均可食率为61．5％;鸢尾群落、牛旁群落和小狼毒群落是草地严重退化后形成的典型有毒害群落类型;长期的高强度放牧虽然增加了群落类型多样性,但减少了群落内物种多样性。总体而言,长期的放牧干扰降低了德钦草地的生物多样性的质量及其生态服务功能,导致草地生态系统的非持续发展。     

藏北高山嵩草草旬植被和多样性在沙漠化过程中的变化

为确定沙漠化对高山嵩草草甸植被组成、结构和物种多样性的影响，了解高寒区草甸沙漠化的原因，选择西藏那曲安多县南部沙漠化严重区域为调查区，按照沙漠化的不同程度设置样地，系统调查了轻度、中度、重度和极重度沙化草甸的植被变化，结果表明：中度、重度和极重度沙化区的植被与轻度沙化草甸有显著的差异；在中度和重度沙化区，高寒草甸的建群种高山嵩草已被家畜不喜食或更具抗性的植物种所取代，而在极重度沙化的流动沙丘上无植被生长；从过牧的退化草甸到半流动、流动沙丘，植物种多样性呈显著的降低趋势。轻度沙化草甸物种数、个体密度和丰富度指数最多；中度沙化草甸的Shannon-Wiener指数和均匀度指数最大，而优势度指数最小；在沙化过程中，高寒草甸的植被盖度显著下降，地上生物量也在下降，虽然轻度、中度和重度沙化草地的地上生物量显著高于极重度沙化区，但前者之间却无显著差异。地下根系生物量也呈显著下降的趋势。过牧是造成高山嵩草草甸沙化的主要原因。     

ON THE LAYER-ZONE OF ALPINE MEADOW ON THEQINGHAI-TIBETAN PLATEAU

RuleofzonalityisoneofthedassicaltheonesinGeOgraphy.Thedifferentiationofzonalityfromaz0nalityindicatesthedevel0pmentofpeople'Scoguhveabilitiestonaturallaw.Longitudinal,latitudinalandaltitudinalzonalitiesbelongt0idealconcePts,however,theywerefavorablet0theformationoftheconcePtofthIeedimensi0nalzonality.UPt0n0wtherehavebeenmanydifferentideasonzonality.ForexamPle,inanarr0wsense,zonality0ulyreferst0thelatitudinalzonality,namely,thequatityofheatorairtemPeraturegraduallyChangs,whichresultsinthezo…     

Seasonal variations and mechanism for environmental control of NEE of CO_2 concerning the Potentilla fruticosa in alpine shrub meadow of Qinghai-Tibet Plateau

The study by the eddy covariance technique in the alpine shrub meadow of the Qing-hai-Tibet Plateau in 2003 and 2004 showed that the net ecosystem carbon dioxide exchange (NEE) exhibited noticeable diurnal and annual variations, with more distinct daily changes during the warmer seasons. The CO2 emission of the shrub ecosystem culminated in April and September while the CO2 absorption capacity reached a maximum in July and August. The absorbed carbon dioxide during the two consecutive years was 231.4 and 274.8 g CO2·m-2 respectively, yielding an average of 253.1 gCO2·m-2 per year: that accounts for a large proportion of absorbed CO2 in the region. Obviously, the diurnal carbon flux was negatively related to temperature, radiation and other atmospheric factors. Still, minute discrepancies in kurtosis and duration of carbon emission/absorption were detected between 2003 and 2004. It was found that the CO2 flux in the daytime was similarly affected by photosynthetic photon flux density in both years. Temperature appears to be the most important determinant of CO2 flux: specifically, the high temperature during the plant growing season inhibits the carbon absorption capacity. One potential explanation is that soil respiration is enhanced under such condition. Analysis of biomass revealed that the annual net carbon fixed capacity of aboveground and belowground biomass was 544.0 in 2003 and 559.4 g Cm"2 in 2004, which coincided with the NEE absorption capacity (63.1 g C·m-2 in 2003 and 74.9 g C·m-2 in 2004) in the corresponding plant growing season.     

Net ecosystem CO_2 exchange and controlling factors in a steppe——Kobresia meadow on the Tibetan Plateau

Knowledge of seasonal variation of net ecosystem CO2 exchange (NEE) and its biotic and abiotic controllers will further our understanding of carbon cycling process, mechanism and large-scale modelling. Eddy covariance technique was used to measure NEE, biotic and abiotic factors for nearly 3 years in the hinterland alpine steppe--Korbresia meadow grassland on the Tibetan Plateau, the present highest fluxnet station in the world. The main objectives are to investigate dynamics of NEE and its components and to determine the major controlling factors. Maximum carbon assimilation took place in August and maximum carbon loss occurred in November. In June, rainfall amount due to monsoon climate played a great role in grass greening and consequently influenced interannual variation of ecosystem carbon gain. From July through September, monthly NEE presented net carbon assimilation. In other months, ecosystem exhibited carbon loss. In growing season, daytime NEE was mainly controlled by photosynthetically active radiation (PAR). In addition, leaf area index (LAI) interacted with PAR and together modulated NEE rates. Ecosystem respiration was controlled mainly by soil temperature and simultaneously by soil moisture. Q10 was negatively correlated with soil temperature but positively correlated with soil moisture. Large daily range of air temperature is not necessary to enhance carbon gain. Standard respiration rate at referenced 10℃(R10) was positively correlated with soil moisture, soil temperature, LAI and aboveground biomass. Rainfall patterns in growing season markedly influenced soil moisture and therefore soil moisture controlled seasonal change of ecosystem respiration. Pulse rainfall in the beginning and at the end of growing season induced great ecosystem respiration and consequently a great amount of carbon was lost. Short growing season and relative low temperature restrained alpine grass vegetation development. The results suggested that LAI be usually in a low level and carbon uptake be relatively low. Rainfall patterns in the growing season and pulse rainfall in the beginning and at end of growing season control ecosystem respiration and consequently influence carbon balance of ecosystem.