基于SRP模型的南雄丹霞梧桐自然保护区生态脆弱性评价

通过建立生态敏感性-生态恢复力-生态压力度（SRP）模型，利用主成分分析法确定指标权重，对南雄丹霞梧桐自然保护区进行生态脆弱性评价。结果表明:1）从生态敏感性角度，研究区高度脆弱和极度脆弱面积分别为756.50 hm²和773.58 hm²，占比之和>50%，主要集中分布于北部和中部，而主要影响要素为土壤侵蚀强度，其次为距水源距离；2）从生态恢复力角度，研究区不脆弱和轻度脆弱面积分别为777.71 hm²和676.73 hm²，占比之和>50%，主要集中分布于西部和西南部，主要影响要素为生物多样性，其次为植被覆盖度；3）从生态压力度角度，研究区不脆弱和轻度脆弱面积分别为551.33 hm²和1 205.12 hm²，占比之和>60%，主要集中分布于西部及东部，而主要影响要素为GDP密度和人口密度；4）研究区整体生态脆弱性较高，中度及以上脆弱性面积之和达到67.72%，主要集中于研究区的中部和北部，其中生态敏感性对生态脆弱性的影响最大，说明研究区整体生态脆弱性较强，应做好生态保护工作。     

电感耦合等离子发射光谱法测定水质中的金元素

应用电感耦合等离子体发射光谱法测定了废水中的金元素,探讨了金测定的谱线选择、离子干扰等问题,实验结果表明:在最佳仪器条件和测定条件下,该方法的检出限为0.008 mg/L,方法精密度的方法标准偏差(RSD)在4.28%~1.44%之间,回收率为96%~104%。该方法操作简便,快捷。     

面向养殖水体分布差异的COD光谱法检测研究

面向养殖水体，传统光谱法对化学需氧量（Chemical Oxygen Demand，COD）检测模型构建的基础：源域（现有样本库）与目标域（检测地水体）间光谱数据独立同分布。但是当源域与目标域分布间存在差异时，由源域得到的低误差模型常在目标域上表现下滑。针对该问题，提出面向UV Vis光谱的域对抗训练网络（DAUVwpNet），将分布不同的源域和目标域数据映射至相同分布的特征空间中，使其在该空间的分布距离尽可能接近，从而在特征空间中对源域训练的目标函数也可以迁移至目标域上，以降低模型在目标域的误差。试验表明：面向同一批测试数据，DAUVwpNet的预测误差为0.78，要低于传统模型的预测误差（0.85）；DAUVwpNet预测值与实测值间相关系数为0.95，要高于传统模型的相关系数（0.89）。表明了该网络能够较好对齐两域特征空间数据分布，降低因分布差异带来的COD检测误差。     

Investigation of environmental and land use impacts in forested permafrost headwaters of the Selenga-Baikal river system,Mongolia - Effects on discharge,water quality and macroinvertebrate diversity

Headwater streams play a major role for provision of ecosystem services, e.g. drinking water. We investigated a high-altitude headwater catchment of the Kharaa River (including 41 1st-order rivers) to understand the impact of land cover (especially forest cover), environment and human usage on runoff, chemical water quality and macroinvertebrate fauna in a river basin under discontinuous permafrost conditions in an arid, sparsely populated region of Mongolia. To verify our hypotheses that different landuses and environmental impacts in permafrost headwaters influence water quality, we investigated 105 sampling sites, 37 of them at intermittent stream sections without water flow. Discharge was positively impacted by land cover types steppe, grassland and forest and negatively by shrubland, forest burnt by wild fires (indicating a reduction of permafrost) and slope. Water quality was affected by altitude, longitude and latitude, shrub growth and water temperature. Shannon diversity of macroinvertebrates was driven by water temperature, iron content of the water, flow velocity, and subbasin size (adjusted R² = 0.54). Sample plots clustered in three groups that differed in water chemistry, macroinvertebrate diversity, species composition and bio-indicators. Our study confirms that steppes and grasslands have a higher contribution to runoff than forests, forest cover has a positive impact on water quality, and diversity of macroinvertebrates is higher in sites with less nutrients and pollutants. The excellent ecological status of the upper reaches of the Kharaa is severely threatened by forest fires and human-induced climate change and urgently needs to be conserved.     

南水北调中线工程水质监测站点布设研究

科学合理布设水质监测站点是加强南水北调中线工程对突发水污染事件监控,保障水质安全的重要手段。制定水质监测站点的布设方案受到监测效率与布设成本的约束,同时,监测仪器精度、污染物衰减特性的不确定性等问题也对布设方案产生影响。以中线工程京石段为研究对象,基于一维水质模型,以突发水污染事件漏报率最低、发现时间最短以及监测站点布设成本最小为目标函数,构建水质监测站点布设多目标优化模型对布设方案进行优化,同时结合监测仪器精度对目标函数的影响确定了最优布设方案,在此基础上,分析了污染物衰减特性对最优布设方案的影响。研究结果可为中线工程合理布设水质监测站点提供建议。     

生态公共服务视野下城市森林生态-经济系统的协同机理研究

在生态公共服务视野下,尽管当前我国的城市森林发展较为迅速,但对其森林生态经济系统的协同机理研究仍然还是一个新课题。本文结合海南国际旅游岛建设的相关实践,从治理机制、市场机制、利益分配机制、合作机制、扶持机制5个方面,对海南城市森林进行研究,以促进海南城市森林资源的优化利用和社会经济的可持续发展。     

椰子水化学组成及其影响因素

椰子水是一种古老的热带饮料，以其天然、纯净、营养和功能特性受到越来越多的消费者的喜爱，并引起了众多饮料生产商的关注。椰子水主要是指来源于未成熟的椰子果腔内部的水状液体，汁清如水、入口清甜、晶莹透亮、清凉解渴。椰子水中的固形物含量比较低（2%~5%湿基），主要成分是糖和矿物元素，还有少量的蛋白质、氨基酸及其他微量成分，是一种营养丰富的天然运动和功能性饮料。椰子水的比例、总固形物含量、总糖、还原糖与总糖之比等指标是衡量椰子水质量的重要标准，可作为选育适合饮用椰子的指标。矮种椰子一般适合作为饮料用椰子品种。此外，椰子水还可作为植物组织培养和微生物发酵用基质。椰子水之所以用途广泛主要取决于其独一无二的化学组成，包括糖、维生素、矿物质和氨基酸等。本文主要综述至今文献报道相关椰子水化学组成及其影响因素方面的研究情况。     

Assessing the utility of topographic variables in predicting structural complexity of tree stands in a reforested urban landscape

The transformation of natural landscapes into impervious built-up surfaces through urbanization is known to significantly interfere with the ecological integrity of urban landscapes and accelerate climate change and associated impacts. Although urban reforestation is widely recognised as an ideal mitigation practice against these impacts, it often has to compete with other lucrative land uses within an urban area. The often limited urban space provided for reforestation therefore necessitates the optimization of the ecological benefits, which demands spatially explicit information. The recent proliferation of tree stands structural complexity (SSC) and topographic data offer great potential for determining the ecological performance of reforested areas across an urban landscape. This study explores the potential of using topographic datasets to predict SSC in a reforested urban landscape and ranks the value of these topographic variables in determining SSC. Tree structural data from a reforested urban area was collected and fed into a tree stand structural complexity index, which was used to indicate ecological performance. Topographic variables (Topographic Wetness Index, slope, Area Solar Radiation and elevation)- were derived from a Digital Elevation Model (DEM) and used to predict SSC using the Partial Least Squares (PLS) regression technique. Results show that SSC varied significantly between the topographic variables. Results also show that the topographic variables could be used to reliably predict SSC. As expected, the Topographic Wetness Index and slope were the most important topographic determinants of SSC while elevation was the least valuable. These results provide valuable spatially explicit information about the ecological performance of the reforested areas within an urban landscape. Specifically, the study demonstrates the value of topographic data as aids to urban reforestation planning.     

Does full protection count for the maintenance of β‐diversity patterns in marine communities? Evidence from Mediterranean fish assemblages

1. Although it is widely recognized that protection may enhance size, abundance, and diversity of fish, its effect on spatial heterogeneity of fish assemblages and species turnover is still poorly understood.
2. Here the effect of full protection within a Mediterranean marine protected area on β‐diversity patterns of fish assemblages along a depth gradient comparing a no‐take zone with multiple unprotected areas is explored. The no‐take zone showed significantly higher synecological parameters, higher β‐diversity among depths, and lower small‐scale heterogeneity of fish assemblages relative to unprotected areas.
3. Such patterns might likely depend on the high level of fishing pressure outside the no‐take zone, as also abundance‐biomass curves seemed to indicate. Results suggested that full protection could play a role in maintaining high β‐diversity, thus reducing the fragility of marine communities and ecosystems, and spatial heterogeneity may represent a reliable predictor of how management actions could provide insurance against undesirable phase shifts.

     

汉阳地区五个湖泊沉水植物分布及富营养化现状

2011年7月—2012年4月对武汉市汉阳地区五个湖泊(后官湖,三角湖,南太子湖,墨水湖和龙阳湖)的水质及沉水植物进行了季节性调查,以了解湖泊富营养化现状及其对沉水植物的影响。结果显示:后官湖为中营养,而三角湖、南太子湖、墨水湖和龙阳湖为重度富营养,其中龙阳湖污染最重。共采集沉水植物7种,隶属于5科5属,主要种类为金鱼藻(Ceratophyllum demersum)、苦草(Vallisneria spiralis)和菹草(Potamogeton crispus)。沉水植物主要分布在后官湖沿岸带,其它四个湖泊中沉水植物已严重退化,仅在部分水域偶见。后官湖沉水植物盖度和生物量最大值出现在10月,分别为67.5%和5.58 kg/m~2,1月份较低,分别为29.3%和1.88 kg/m~2,优势种存在明显的季节更替。结果表明,汉阳地区湖泊沉水植物退化与富营养化引起的水下光照下降和高密度的水产养殖有关。