海南东寨港红树林区底栖节肢动物多样性研究

为了解海南东寨港红树林区节肢动物多样性水平, 作者于2009 年12 月、2010 年3 月和7 月,对海南东寨港红树林区8 个采样点进行节肢动物群落调查, 共获得底栖节肢动物34 种, 隶属2 纲14科; 方蟹科和沙蟹科是主要类群, 其中双齿近相手蟹(Perisesarma bidens)、原足虫(Kalliapseudes tomiokaensis)和锯眼泥蟹(Ilyoplax serrata)为优势种; 不同潮滩间节肢动物的栖息密度差异不显著, 但生物量差异显著; 不同季节间节肢动物的栖息密度和生物量差异显著; 物种种数S、Margalef 丰富度指数d、Shannon-Wiener 物种多样性指数H′和Pielou 均匀性指数J 皆表现为冬季<春季<夏季。     

基于InVEST模型的晋北土地利用变化与碳储量研究

区域土地利用变化和碳储量的空间分布特征研究可为区域生态系统碳库管理和减排增汇政策制定提供重要科学依据。采用GIS和遥感技术分析了晋北地区1990年、2000年、2013年和2019年的土地利用变化特征,在此基础上,运用InVEST模型计算出晋北地区1990—2019年间生态系统碳储量和碳密度。结果表明,各土地利用类型之间的转换主要发生在2000—2013年间,转出面积最多的为耕地,转入面积最多的为建设用地和林地。这与该时段退耕还林政策的实施和粗放型经济快速增长有关。研究区1990年、2000年、2013年和2019年生态系统碳储量分别为53.50×107 t、53.53×107 t、54.25×107 t和54.00×107 t,碳平均密度分别为147.89 t/hm2、147.97 t/hm2、149.95 t/hm2和149.27 t/hm2。在总体碳储量中,土壤碳储量占比最大,超过80%,而林地对研究区生态系统碳储量的贡献值最大（约55%）。晋北地区应继续坚持退耕还林、水土保持等措施,以期能够用高效固碳来代偿建设用地扩张导致的碳损失。     

影响萼花臂尾轮虫种群增长的生态学因子的研究：温度和饵料密度的影响

本文研究了在5个温度梯度和4个饵料密度的20个试验组合下，萼化臂尾轮虫（Brachionuscalyciflorus）的种群增长规律。结果表明，该轮虫实验种群的最适温度范围是28—32℃，临界高温是36－40℃；最适饵料密度是45－65×106个／ml。这两个生态因子的最佳组合是温度32℃，饵料密度为65×106个／ml，此时，种群达最大密度3．4×103个／ml。     

基于森林资源清查的江西省森林贮碳功能研究

利用江西省1999--2003年森林资源二类清查资料,结合大岗山森林生态站的实测数据以及已公布的调查资料,运用材积源生物量法对江西省森林的碳储量和碳密度进行了估算和评价。结果表明,江西省不同类型森林乔木层碳密度,由大到小依次为硬阔林、针阔混交林、毛竹林、国外松林、杉木林、软阔林、灌木林、马尾松林和经济林,且碳密度随着林龄的增大而增大,随人口密度的增大而减小。森林碳密度土壤层最大,植被层次之,枯落物层最小。不同森林类型乔木层碳储量,由大到小依次为杉木林、硬阔林、马尾松林、毛竹林、灌木林、国外松林、经济林、针阔混交林、软阔林。从森林类型分布看,除杉木和国外松林外,其他森林类型天然林乔木层碳储量远大于人工林;从地理分布看,除南昌、萍乡、新余三市外,其余各市均是天然林乔木层碳储量远大于人工林。不同年龄森林乔木层碳储量,由大到小依次为中龄林、幼龄林、近熟林、成熟林、过熟林。不同森林碳储量由大到小依次为杉木林、马尾松林、硬阔林、灌木林、经济林、毛竹林、针阔混交林、国外松林和软阔林,南部和中西部要高于中东部和北部。江西省森林总碳储量为1．5Gt,占全国森林总碳储量的5．33％。     

夯扩桩半模夯扩试验及夯扩机理探讨

设计了夯扩桩半模夯扩试验，采用读数显微镜直接测读上体质点位移，获得了不同密度的均匀砂土中砂粒的位移，由此确定土体的位移场和密度场。借鉴魏西克（Ｖｅｓｉｃ）球形孔穴膨胀理论和梅耶霍夫（Ｍｅｙｅｒｈｏｆ）塑性剪切理论，结合模型试验成果，对夯扩机理作了探讨，并定性地提出了夯扩机理模式。     

地球化学异常再现性与可对比性

不同密度采样是否可以获得稳定的和可追索的地球化学模式是检验采样是否具有代表性，分析技术是否成熟的重要依据。笔者选择新疆哈密大南湖地区约6400km^2面积，进行了从超低密度(1个样／100km^2)，甚低密度(1个样／25km^2)直到低密度(1个样／4km^2)地球化学采样，对比了3种密度地球化学采样所获得的地球化学数据和异常分布模式。得出如下结论：超低密度、甚低密度、低密度地球化学调查获得的元素含量平均值和背景值非常接近；超低密度、甚低密度、低密度调查所圈定的地球化学省在形态上和变化趋势上非常相似，浓集中心的位置重合，表明不同调查阶段可获得稳定的和可追索的地球化学模式；采样密度越大数据离散程度越高，即最小值更小，最大值更大，表明元素分布的局部不均匀性，正是这种局部的不均匀性才能通过加密采样刻画出地球化学模式的细节变化，为逐步追踪矿化体奠定了基础；超低密度和甚低密度采样可以有效圈定矿集区所形成的大规模地球化学异常，低密度地球化学调查不仅可以圈定矿集区异常，同时可以圈定分散矿化的小规模局部异常。     

论矿山经济技术指标对企业效益的影响

从矿山生产经营的主要指标分析入手,建立以效益为目标函数的经济分析模型,全面进行矿产经济评价,探讨生产成本、出矿品位、贫化率、矿石产量等对矿山经营效果的影响,从而找出影响矿山经济效益的主要因素,进行指导矿山生产。     

天津海域春夏季节游泳动物的组成特征

根据2014年5月及8月在天津海域进行的底拖网调查资料,对该海域游泳动物组成特征进行了初步研究。结果表明,在该海域共捕获游泳动物36种,平均资源密度为126 297.13个/km~2和1 494.40 kg/km~2。以个体密度计算群落多样性,Shannon-Wiener种类多样性指数H′平均为1.803,Margalef种类丰富度指数d平均为0.592,Pielou种类均匀度指数J平均为0.537。资源密度及物种多样性,8月均优于5月。优势种为口虾蛄,重要种为火枪乌贼、日本、斑、六丝钝尾虾虎鱼。天津近岸海域游泳动物渔业资源呈现出低质化的趋势。     

Variability of organic δC and C/N in the Mersey Estuary, U.K. and its implications for sea-level reconstruction studies

Microfossil analysis (e.g. diatoms, foraminifera and pollen) represents the cornerstone of Holocene relative sea-level (RSL) reconstruction because their distribution in the contemporary inter-tidal zone is principally controlled by ground elevation within the tidal frame. A combination of poor microfossil preservation and a limited range in the sediment record may severely restrict the accuracy of resulting RSL reconstructions. Organic δ¹³C and C/N analysis of inter-tidal sediments have shown some potential as coastal palaeoenvironmental proxies. Here we assess their viability for reconstructing RSL change by examining patterns of organic δ¹³C and C/N values in a modern estuarine environment. δ¹³C and C/N analysis of bulk organic inter-tidal sediments and vegetation, as well as suspended and bedload organic sediments of the Mersey Estuary, U.K., demonstrate that the two main sources of organic carbon to surface saltmarsh sediments (terrestrial vegetation and tidal-derived particulate organic matter) have distinctive δ¹³C and C/N signatures. The resulting relationship between ground elevation within the tidal frame and surface sediment δ¹³C and C/N is unaffected by decompositional changes. The potential of this technique for RSL reconstruction is demonstrated by the analysis of part of an early Holocene sediment core from the Mersey Estuary. Organic δ¹³C and C/N analysis is less time consuming than microfossil analysis and is likely to provide continuous records of RSL change.     

Evaluating the effect of land development on sediment transport using a probability density function

An important problem in sedimentation analysis is the development of a channel section that preserves, as best as possible, the current sedimentation regime even though the flood frequency tendencies have been altered due to land development within the catchment. In order to accomplish this task, a methodology is needed that estimates sediment transport capacity for various channel configurations. Such a procedure is described which allows the computation of the total sediment transport capacity for each of several T-year return frequency runoff hydrographs. This information is used to obtain an approximate probability distribution for the total sediment transport capacity, and the mean and standard deviation of this distribution are computed.Comparing the results for the catchment in its present state with a future developed state, using a selection of new channel parameters, indicates how to improve the channel to control changes in sedimentation due to development. The analysis procedure provides a basis for estimating a new channel configuration such that the new flow conditions retain, as best as possible, the existing condition sedimentation effects, and hence retain the natural sediment supply and transport trends even though runoff flow rates have changed due to land development within the catchment.The results of Wilson Creek are typical of the several sites examined, see Table 3 below. The T=2, T=5, T=25, and T=100 year values for total sediment transport capacity, in kilotons, are 6.9, 39.4, 61.3, and 96.7 with a mean of 17.1 and standard deviation of 19.3. After development with no change in the channel the respective values increase to: 17.9, 84.6, 128.1, and 258.0 with a mean of 39.1 and standard deviation of 44.3. A new channel can be constructed which will reduce these sediment transport capacity values, after development, to 5.2, 41.0, 62.0, and 124.8 with a mean of 17.4 and standard deviation of 22.0.