科技创新投入对环境全要素生产率的影响机制

使用2004~2015年的中国280个地级市的面板数据,对科技创新投入与环境全要素生产率间的非线性关系、内部影响机理和空间异质性进行分析,结果显示：科技创新投入与环境全要素生产率之间呈现倒N型关系,两个拐点的位置分别为7.722（2257.47万元）和9.610（14913.17万元）;在外部资本进入、污染治理、市场规模效应3种影响路径中,科技创新投入影响下的外部资本进入对环境全要素生产率依然存在污染避难所的负向效应,科技创新投入与外部资本间效应为0.1363,外部资本与环境全要素生产率间效应为-0.0065;科技创新投入能够增强企业的污染治理技术并提高环境全要素生产率,三者间前后效应分别为-0.0277和-0.0311;科技创新的投入与高效益增强了市场规模效应,有效促进生产结构的转型进而提高环境全要素生产率,三者间前后效应为0.0186和0.4346.空间异质性中,外部资本进入与溢出效应带来的污染避难所负效应在中部地区显著,在西部和东北部地区不显著,而污染天堂正效应在东部地区存在但不显著;污染创新治理投入的技术正溢出效应在东部和西部地区效应显著,在中部和东北部不显著;科技创新投入与市场需求规模效应在空间区域无差异且显著为正.建议依据科技创新投入的不同影响路径来实施空间差异化策略.     

中国淡水生态系统甲烷排放基本特征及研究进展

本文基于中国境内的湖泊、水库、河流等淡水系统CH₄排放研究的相关成果,对203个湖泊（595个样点）、46个水库（221个样点）、112条河流（441个样点）,总计1257个样点的CH₄通量数据进行统计分析,探讨了中国淡水系统（湖泊、水库、河流）CH₄排放的一般特征,总结了当前研究进展,并进一步估算和评估了中国淡水系统CH₄排放总量水平.结果表明：1）中国湖泊CH₄排放通量平均为（1.17±1.87） mg/（m²·h）,蒙新湖区（（3.84±0.57） mg/（m²·h））和东北湖区（（2.62±3.54） mg/（m²·h））较高,青藏湖区（（1.94±4.13） mg/（m²·h））次之,东部湖区（（0.81±0.90） mg/（m²·h））较低,云贵湖区（（0.19±0.26） mg/（m²·h））最低;湖泊CH₄排放通量呈显著的纬度模式,高纬度地区湖泊CH₄排放高于低纬度地区;2）水库CH₄排放通量（（1.25±1.78） mg/（m²·h））与湖泊相似,水库消落带较高的排放通量（（4.34±4.45）mg/（m²·h））对水库CH₄排放具有重要贡献;3）河流CH₄排放（（0.82±1.14） mg/（m²·h））略低于湖库,长江水系CH₄排放通量（（0.98±2.38） mg/（m²·h））和黄河水系（（0.85±0.75） mg/（m²·h））相近,高于海河水系（（0.54±0.93） mg/（m²·h））,辽河、珠江水系研究较少,数据变异性极大;4）受降水、温度、径流稀释等影响,淡水系统CH₄排放呈显著的季节变化,其中湖库排放夏季高于秋季,冬春季较低,而河流则春秋季高于夏冬季;5）基于外推法估算全国湖泊、水库、河流CH₄排放总量分别约为0.96,0.29,0.76Tg/a,相当于全国湿地系统排放的75%.由于较大的时空变异性以及监测数据分布的不均匀性,目前估算存在较大的不确定性,但淡水系统CH₄排放在全球气候变化中的贡献仍不容小觑.     

Chemically mediated interactions between the red algaPlocamium hamatum (Rhodophyta) and the octocoralSinularia cruciata (Alcyonacea)

Interactions between the red algaPlocamium hamatum J. Agardh (Rhodophyta) and other benthic organisms including the alcyonacean soft coralSinularia cruciata (Tixier-Durivault) were investigated on an inshore fringing reef environment in whichP. hamatum was the dominant large fleshy alga. Field observations of sessile reef organisms including octocorals and sponges living in close proximity toP. hamatum revealed that varying degrees of tissue necrosis were suffered by the invertebrates when in physical contact with the alga. In order to establish whether the chemical constituents of the alga, especially chloromertensene, played a role in this necrosis, manipulative field experiments were carried out in the Pelorus Channel, Palm Island group (18°34S; 146°29E), North Queensland, Australia, in November and December 1988. The first experiment involved the relocation of healthy plants and soft corals into contact and non-contact situations on a mesh grid. In all cases of contact betweenP. hamatum andS. cruciata, the soft coral suffered tissue necrosis (n=6,p=0.0022). The second experiment had the same design, but involved the use of artificial plants both uncoated and coated with natural levels of chloromertensene, in contact withS. cruciata. In all cases of contact with coated treatments, necrosis was observed inS. cruciata (n=4,p=0.025). In cases where uncoated artificial fronds were placed in contact with soft corals,S. cruciata showed minor abrasion effects, but no appreciable necrosis. Coated treatments were not fouled by epiphytes during the experiment and were not consumed by predators. Uncoated treatments were rapidly reduced in size by predation and any remaining material was biofouled. These experiments thus demonstrated that the deleterious effects observed in soft corals in the field were caused by contact with the algaP. hamatum, that these effects were indeed chemically mediated by chloromertensene, and that physical contact without chemical intervention caused no such deleterious effects. This is the first experimental evidence which conclusively demonstrates allelopathy between an alga and other marine organisms and identifies the compound responsible for the observed allelopathic effects.     

Dry aerial fallout of organochlorine insecticide residues in Delhi, India

Monitoring of airborne dust in Delhi during May to July 1985 revealed residues of DDT varying from 1.3 to 7.14 ng mg(-1) (4.06-22.31 ng m(-2) day(-1)) with an average of 3.32 ng mg(-1) (10.38 ng m(-2) day(-1)), and HCH which ranged from 0.46 to 2.35 ng mg(-1) (1.44-7.34 ng m(-2) day(-1)) with a mean of 1.16 ng mg(-1) (3.63 ng m(-2) day(-1)). The concentration of total DDT was almost 3 times greater than that of HCH.