我国学者在青藏高原生态系统甲烷排放研究方面取得重要成果

中国科学院西北高原生物研究所网页上发布信息:《自然》等著名学术刊物、媒体报道我国科学家在青藏高原生态系统甲烷排放研究方面的最新成果(http://www.nwipb.ac.cn/xwzx/zhxw/200808/t20080829_1674857.html)报道,高寒草甸植物能够释放甲烷,但是草本植物群落和木     

富营养水体中常绿水生植被组建及净化效果研究

1992～1993年在富营养湖泊五里湖中开展了常绿型人工水生植被组建实验,在面积为2000m²的半封闭式围隔实验区中,选用耐寒植物伊乐藻和喜温植物菱及风眼莲,组建成了常绿型人工水生植被。这种常绿型人工水生植被不仅使实验区内常年保持较好的水质,而且对外来污染冲击有很强的缓冲能力。它可用于水源保护、局部性水质控制、污水净化生态工程、小型富营养水体的生态恢复等。如能解决耐寒型沉水植物伊乐藻与喜温型沉水植物种类间的衔接过渡,这种常绿型人工水生植被技术还可望用于富营养水体中天然水生植被的恢复。     

A remote sensing tool for near real-time monitoring of harmful algal blooms and turbidity in reservoirs

Harmful algal blooms (HABs) diminish the utility of reservoirs for drinking water supply, irrigation, recreation, and ecosystem service provision. HABs decrease water quality and are a significant health concern in surface water bodies. Near real-time monitoring of HABs in reservoirs and small water bodies is essential to understand the dynamics of turbidity and HAB formation. This study uses satellite imagery to remotely sense chlorophyll-a concentrations (chl-a), phycocyanin concentrations, and turbidity in two reservoirs, the Grand Lake O′ the Cherokees and Hudson Reservoir, OK, USA, to develop a tool for near real-time monitoring of HABs. Landsat-8 and Sentinel-2 imagery from 2013 to 2017 and from 2015 to 2020 were used to train and test three different models that include multiple regression, support vector regression (SVR), and random forest regression (RFR). Performance was assessed by comparing the three models to estimate chl-a, phycocyanin, and turbidity. The results showed that RFR achieved the best performance, with R² values of 0.75, 0.82, and 0.79 for chl-a, turbidity, and phycocyanin, while multiple regression had R² values of 0.29, 0.51, and 0.46 and SVR had R² values of 0.58, 0.62, and 0.61 on the testing datasets, respectively. This paper examines the potential of the developed open-source satellite remote sensing tool for monitoring reservoirs in Oklahoma to assess spatial and temporal variations in surface water quality.     

Enhancing perspectives on lake impairments using satellite observations: A case study on High Rock Lake,North Carolina

Stakeholders developing water quality improvement plans for lakes and reservoirs are challenged by the sparsity of in-situ data and the uncertainty ingrained in management decisions. This study explores how satellite images can fill gaps in water quality databases and provide more holistic assessments of impairments. The study site is an impaired water body that is serving as a pilot for improving state-wide nutrient management planning processes. An existing in-situ database was used to calibrate semi-analytical models that relate satellite reflectance values to turbidity and total suspended solids (TSS). Landsat-7 images from 1999 to 2020 that overpass High Rock Lake, North Carolina were downloaded and processed, providing 42 turbidity and 39 TSS satellite and in-situ match-ups for model calibration and validation. Model r-squared values for the fitted turbidity and TSS models are 0.72 and 0.74, and the mean absolute errors are 14.6 NTU and 3.2 mg/L. The satellite estimates were compared to the in-situ data and simulated TSS values produced by a calibrated hydrologic-hydrodynamic model. The process-based model is considered less accurate than the satellite model based on statistical performance metrics. Comparisons between data sources are illustrated with time series plots, frequency curves, and aggregate decision metrics to highlight the dependence of lake impairment assessments on the spatial and temporal frequency of available data and model accuracy.     

草地退化对三江源区高寒草甸生态系统CO2通量的影响及其原因

为了揭示草地退化对三江源地区高寒草甸生态系统碳通量的影响,利用涡度相关技术,于2006年12月1日~2007年11月30日对三江源地区的退化高寒草甸生态系统的碳通量及生物和环境因子进行观测.结果发现:草地退化对高寒草甸生态系统的碳通量产生了深刻影响,与未退化的高寒草甸生态系统相比,退化高寒草甸生态系统全年总初级生产力(GPP)下降了36.6%,全年生态系统呼吸(Reco)下降了7.9%,全年净生态系统CO2交换(NEE)也由退化前的负值(碳吸收)转变为正值(碳排放),二者相差132.5gC/(m2·a),生态系统由原来的碳汇转变为目前的碳源.这些变化与高寒草甸退化后,生态系统植物地上生物量锐减、植物生长期缩短(NEE<0的天数)、植物多样性下降、土壤含水量降低等因素密切相关.     

沈阳市新农村生活垃圾调查及治理对策研究

沈阳农村人口众多,生活垃圾数量巨大,却没有很好地得到处理,带来了一系列问题,针对这些问题,通过对沈阳市典型五个农村生活垃圾组分、性质的采样调查、分析、化验,可知农村平房区和楼房区村民产生的生活垃圾成分含量差别很大,主要与居民的燃料结构有关。生活垃圾的热值、含水率、灰分也有差异,主要因素是垃圾成分的差异。明确了垃圾成分,参阅“穿越环境高山理论”对照发达国家的发展历程,提出了沈阳市农村生活垃圾处理方法与对策。     

Bioremediation of Acidic and Metalliferous Drainage (AMD) through organic carbon amendment by municipal sewage and green waste

Pit lakes (abandoned flooded mine pits) represent a potentially valuable water resource in hot arid regions. However, pit lake water is often characterised by low pH with high dissolved metal concentrations resulting from Acidic and Metalliferous Drainage (AMD). Addition of organic matter to pit lakes to enhance microbial sulphate reduction is a potential cost effective remediation strategy. However, cost and availability of suitable organic substrates are often limiting. Nevertheless, large quantities of sewage and green waste (organic garden waste) are often available at mine sites from nearby service towns. We treated AMD pit lake water (pH 2.4) from tropical, North Queensland, Australia, with primary-treated sewage sludge, green waste, and a mixture of sewage and green waste (1:1) in a controlled microcosm experiment (4.5 L). Treatments were assessed at two different rates of organic loading of 16:1 and 32:1 pit water:organic matter by mass. Combined green waste and sewage treatment was the optimal treatment with water pH increased to 5.5 in only 145 days with decreases of dissolved metal concentrations. Results indicated that green waste was a key component in the pH increase and concomitant heavy metal removal. Water quality remediation was primarily due to microbially-mediated sulphate reduction. The net result of this process was removal of sulphate and metal solutes to sediment mainly as monosulfides. During the treatment process NH(3) and H(2)S gases were produced, albeit at below concentrations of concern. Total coliforms were abundant in all green waste-treatments, however, faecal coliforms were absent from all treatments. This study demonstrates addition of low-grade organic materials has promise for bioremediation of acidic waters and warrants further experimental investigation into feasibility at higher scales of application such as pit lakes.     

云南高原湖泊流域土地利用与水质变化异质性分析

以云南省九大高原湖泊为例,通过面板数据方式分析对高原湖泊流域土地利用类型变化,通过库兹涅兹曲线相关内容对利用强度的分析以及与水质的动态变化情况,得到耕地、园地、湿地面积与湖泊含磷量存在一定负相关.林地、牧草地、建设用地面积与湖泊含磷量存在一定正相关.牧草地、耕地、园地、湿地面积与湖泊含氮量存在一定负相关,建设用地面积与湖泊含氮量存在一定正相关.园地和耕地面积与污染综合指数存在负相关,建设用地面积与污染综合指数存在负相关.分析指出,滇池、泸沽湖处于流域协调区间,阳宗海、抚仙湖、星云湖、程海处于流域冲突区间,洱海、异龙湖处于冲突区间向协调区间转型过程中.     

高寒草原菌根围细菌数量对丛枝菌根真菌物种多样性的影响

基于丛枝菌根真菌(Arbuscular mycorrhizas fungi,AMF)孢子形态学鉴定,研究了藏北高寒草原主要建群植物菌根围细菌数量对AMF物种多样性的影响.结果表明:1)细菌数量1.02×106～2.96×106、3.01×106～6.06×106个/g范围内,Glomus、Acaulospora均为优势属,Scutellospora则均为最常见属;AMF孢子密度、分离频度、相对多度、重要值和种的丰度(SN、SR)均呈Glomus>Acaulospora>Scutellospora属的趋势.2)细菌数量较低时(<3.0×106个/g),AMF各属孢子密度、种的丰度(SR)相对较高,Shannon-Weiner指数、物种均匀度指数亦较高,分别达1.774和0.127.3)不同细菌数量条件下,孢子密度随细菌数量的增加而均呈微弱下降,菌根侵染率、侵染强度、丛枝丰度则均呈不同程度的提高.细菌数量>3.0×106个/g时,菌根侵染率、侵染强度和丛枝丰度随细菌数量增加而提高的趋势尤为明显.4)不同细菌数量条件下,AMF种的构成呈共有种、共有优势种较多(Glomus属均占绝对比重),特有种、稀有种较少,以及不同优势种孢子密度、相对多度和重要值差异均较悬殊的分布特征.图6表3参25     

西南高山峡谷区植被变化及影响因素分析

西南高山峡谷区是我国典型生态脆弱区,认识其植被变化特征及影响因素可以为西南高山峡谷区生态环境建设对策的制定提供理论依据,对实现区域经济、环境以及生态和谐统一发展,具有一定的现实意义.基于2000~2019年NDVI、社会经济因子和自然因子数据集,采用一元线性回归法、Hurst指数、地理探测器模型和变异系数等方法分析了西南高山峡谷区NDVI时空变化及稳定性特征,并探讨了NDVI空间分异影响因素.结果表明：①空间上看,植被呈现东南高,西北低的分布格局,中高和高植被覆盖的区域面积占比71.71%,植被覆盖总体处于较高水平.时间上看,植被呈现改善趋势的区域面积占比85.90%,恢复效果明显,且未来植被变化趋势还将以改善为主.②高程、植被类型和土壤类型是影响NDVI空间分异的主导因子,q值均不低于0.40;气温和降雨量为次要因子,q值分别为0.274和0.225.双因子交互作用增强了单因子的影响力,表现为双因子增强和非线性增强两种关系,其中高程∩植被类型组合q值最高为0.714,其次是高程∩土壤类型组合q值为0.688.③研究时段内NDVI整体稳定性较好,低波动变化和较低波动变化的区域面积占比为89.95%;而中等以上波动的区域面积占比为10.05%,集中在海拔高、气温低、降雨少、土壤贫瘠和植被较差等生态环境相对脆弱的区域.植被变化是多因素综合作用的结果,需因地制宜,有针对性地采取不同策略修复西南高山峡谷区生态环境.