Review of studies on environmental impacts of recreation and tourism in Australia

The paper provides a review of available information on the impact of recreation and tourism on environments, particularly on vegetation and soil, in Australia, with an emphasis on forests. Efforts have been made to compare the current research and development situation in Australia with some overseas countries such as the United States and the United Kingdom. While many documents reveal that Australia has been experiencing an increasingly high level of recreation and tourism use in its environments, only limited studies of environmental impacts of recreation and tourism have been published. Compared with other developed countries, particularly the United Kingdom and the United States, Australia lags behind in undertaking research in this area. The results of these limited studies and some observations indicate that the most common recreational and tourist activities (such as bush walking, camping, horse-riding) can, if not well managed, adversely affect the values of Australian natural and semi-natural resources. Overall, they can affect the vegetation and other recreational sites physically and biologically. Physical effects include track formation, soil loss and/or compaction and an increase in fire frequency. Littering and water pollution are also seen as impacts associated with bush walking and camping. Biological effects include causing damage to vegetation, increasing risk of myrtle wilt disease and the spread of the soil pathogen,Phytophthora cinnamomi, as well as assisting weed dispersal. Based on the information reviewed, the authors suggest the following areas as priorities for future research into the environmental impact of recreation and tourism in Australia: determine the type of natural features that attract recreation use; determine the quantitative relationship between the impact and the level of recreation and tourism use for different activities within major vegetation habitats; ascertain site carrying capacity or environment thresholds for major vegetation habitats and recreation activities; and determine the impacts of recreation and tourism for major regions and major vegetation habitats where there have been considerable nature-based recreation and tourism activities.1998 Academic Press     

基于人工神经网络模型预测ABR反应器处理效率

ABR反应器的处理效率受多方面的因素影响，本文通过BP人工神经网络，利用ABR反应器进水CODcr浓度、容积负荷、温度、稳定运行时间四个参数对其反应器处理效率进行预测。结果表明，BP人工神经网络可较好的用于ABR反应器处理效率的预测，具有较高的精度，在实际生产中，可以运用人工神经网络，对ABR反应器的运行参数进行调整，使之达到最优化的运行状态。     

人工神经网络方法用于城市环境空气质量综合评价

采用人工神经网络技术,建立了城市环境空气质量综合评价的ANN模型,并通过实例对建立的评价模型进行验证。结果证明,ANN模型用于区域环境空气质量评价,其评价结果比较直观。同时,对在建立和应用ANN模型时应注意的一些问题进行了讨论。     

基于GIS的黄土高原地区植被与气候关系研究

排序是植被与环境关系分析的重要手段。利用地理信息系统技术 (GIS)结合除趋势典范对应分析对黄土高原地区植被与气候关系进行了研究。结果清楚地反映了黄土高原地区植被与气候的地带性分布规律 ,证明GIS结合植被数量生态分析方法在黄土高原植被与环境关系的研究中是有效的     

Enhanced experimental flexibility and control in ecotoxicological mesocosm experiments--a new outdoor and indoor pond and stream system

Scope The German Federal Environmental Agency has put into operation a new modular mesocosm system consisting of eight outdoor and eight indoor ponds and streams in order to investigate fate and effects of chemicals and municipal wastewater in aquatic ecosystems. General design and special characteristics are given to demonstrate the wide range of possibilities for experimental research. - General design. Each of the 16 streams with riffle and pool sections can be varied in length up to 106 m. The streams can be run as circular or flow-through systems at a flow velocity of 0.02 to 0.6 m/s. Physico-chemical standard parameters are measured on-line. The 16 ponds, which can be connected to the stream systems, are equipped with drainage and pore water-sampling devices for simulating processes in the littoral zone including influent and effluent ground water flow. Perspectives Since the highly flexible and controllable construction also allows treating a wide range of hydrological and ecological experiments external institutions are invited to submit proposals.     

内蒙古锡林郭勒盟景观尺度土壤保持功能的空间分布

景观作为理解和塑造人类社会与环境最具操作性的尺度,其土壤保持功能是实现景观可持续性的重要条件。在遥感和GIS技术的支持下,采用改进的通用土壤流失方程(RUSLE)对内蒙古锡林郭勒盟景观土壤保持功能的空间分布进行研究。研究表明,研究区土壤保持总量为1.699×10~9 t?a~(-1),单位面积土壤保持量为85.39 t?hm~(-2)?a~(-1);土壤中N、P、K元素保持量分别为9.25×10~6 t?a~(-1)、6.14×10~6 t?a~(-1)、3.41×10~7 t?a~(-1)。按一级景观估算,土壤保持能力从强到弱依次为林地耕地草地住宅用地未利用地水域;按二级景观估算,土壤保持能力以灌木林地为最高,其次分别为有林地、疏林地、丘陵旱地、平原旱地、高盖度草原、山地旱地、中盖度草原,最差的是盐碱地和裸岩石质地。不同景观的土壤保持功能随植被覆盖度的增加呈非线性增长趋势,当植被覆盖度小于50%时,单位面积土壤保持量随植被覆盖度增大而缓慢增加;当植被覆盖度大于50%时,土壤保持功能随植被覆盖度增大而显著增加。因地制宜地提高研究区的植被覆盖度,合理配置景观空间分布格局,有助于景观服务功能的发展,从而对区域生态安全和人类福祉做出更大贡献。     

辽河口沉积物环境要素时空动态及影响因素分析

以辽河口为研究区域,利用遥感影像数据、现状调查数据和历史监测数据,系统地分析了辽河口沉积物质量历史变化趋势和空间分异规律,并进一步研究不同海域使用类型和不同植被演替阶段对沉积物环境要素分异特征的影响.结果表明,辽河口区域沉积物质量总体良好,各要素平均含量均符合一类沉积物质量要求;沉积物营养元素呈现显著的带状分布规律,重金属元素空间分布具有一定随机性,未呈现显著规律;不同海域使用类型对沉积物污染物富集的影响具有一定差异显著性,说明重金属及污染物的分布受到人类活动的影响,具有一定的随机性;植被不同演替阶段下主控因子具有显著差异,初级阶段主要受盐度控制,随着由盐生植被向陆生植被逐渐过渡,植被分布特征与总有机碳(TOC)、总氮(TN)和总磷(TP)的内在联系逐渐增大,同时重金属等污染物含量与植被群落内在联系并不显著.     

20世纪初以来沂蒙山区森林植被动态及其对气候变化的响应——基于遥感和树轮的研究

遥感能够直接反映植被生长信息,但目前观测时间较短;树轮资料可以弥补遥感手段的不足,但往往缺乏与植被生长状况（如植被生产力）的直接关联。已有研究往往计算不同植被指数指标和树轮指数的相关性,并基于此来重建长时间尺度的植被动态信息。但基于相关性所选取的指标在不同地区存在较大差异,不利于空间对比研究。以沂蒙山区为研究区,选取能够有效表征植被年初级生产力的生长季NDVI累积值指标,利用Bootstrap法建立了其与树轮宽度的关系,重建了20世纪初期以来植被动态时间序列,并分析了变化特征及其与气候变化的关系。结果表明：沂山地区生长季NDVI累积值的多年平均值为7.36,低于蒙山和塔山地区;蒙山地区植被状况呈现好转趋势,特别是20世纪90年代之后植被好转趋势更加明显,而塔山和沂山地区植被无显著变化。小波分析结果表明研究区植被动态存在较显著的2 a、4 a或8 a尺度的周期变化,与生长季帕尔默干旱指数及平均温度的周期变化相一致,但干旱指数与植被动态具有更高的相关性。本研究综合运用树轮与遥感技术发展了长时间尺度植被动态时间序列重建方法,有助于更好地理解植被动态及其对气候变化的响应。     

基于多智能体和土地转换模型的耕地撂荒模拟研究——以陕西省米脂县为例

多模型耦合已经成为国内外模拟LUCC有效途径之一。论文通过如下步骤阐明宏观耕地撂荒格局和微观主体行为间的互动机理。首先,将微观主体间的相互作用纳入其决策,构建有限理性多智能体决策模型（Multi-Agent System,MAS）;其次,通过SNNS平台的训练学习以及与历史数据对比分析,验证土地转换模型（Land Transformation Model,LTM）模拟研究区宏观撂荒格局的有效性;最后,依据多模型耦合机理,耦合MAS模型与LTM模型,形成耕地撂荒模拟模型（Cropland Abandonment Simulation Model,CASM）,并基于研究区耕地撂荒的实际数据,探讨模型的合理性和可行性。结果表明：与2013年历史土地利用数据对比,CASM模型的PCM（Percent Correct Metric）系数为71%,比单独利用LTM模型的模拟精度提高3%,不仅表明CASM能够较好地模拟分析米脂县耕地撂荒空间格局分布,而且可有效揭示宏观耕地撂荒格局的微观驱动机理;同时,文章指出未来研究中要考虑政策和市场的影响,进一步完善不同层次主体决策对撂荒的影响,以此来提高模型对现实耕地撂荒的解释力。     

黄土丘陵区撂荒恢复过程中植物群落组成与土壤养分及酶活性变化的关系

为揭示黄土丘陵区植被恢复过程中土壤性质变化趋势,以黄土丘陵区10~45a的撂荒地为研究对象,分析撂荒后植被恢复过程中植物群落演变规律、土壤养分含量、4种酶活性变化及其相关关系.结果表明,随着撂荒年限的增加,恢复过程中主要群落的演变为猪毛蒿(Artemisia scoparia)→达乌里胡枝子(Lespedeza dahurica)+铁杆蒿(Artemisia sacrorum)→茭蒿(Artemisia giraldii)+铁杆蒿→白羊草(Bothriochloa flaccidum)+茭蒿,群落多样性指数整体表现为先增后减的趋势,菊科(Compositae)、禾本科(Poaceae)及豆科(Leguminosae)这3科占比从66. 67%降至50%,后上升到75%.土壤有机碳(SOC),全氮(TN)、全磷(TP)、速效氮(AN)、速效磷(AP)与碱性磷酸酶(ALP)、过氧化氢酶(CAT)、脲酶(UE)与蔗糖酶(SC)这4种酶活性呈增加趋势,但增加程度不同,化学计量比总体呈波动上升趋势.菊科、禾本科与豆科相比总科数、总属数、总种数及植物多样性,对养分和酶活性有更显著的影响,贡献率分别为72. 8%、69. 1%、66. 0%,且三大科对土壤酶的影响大于土壤养分,其中禾本科与豆科对养分及酶活性表现为正影响,而菊科表现为负影响.撂荒恢复过程中草地群落优势科占比的升高显著影响土壤酶的升高,并导致土壤养分变化.