环渤海地区海洋经济增长质量空间溢出效应研究   总被引：4，自引：2，他引：2  

李博  田闯  金翠  史钊源 《地理科学》2020,40(8):1266-1275

海洋经济向质量效益型转变是建设海洋强国的新要求。通过构建海洋经济?地理距离空间权重矩阵对2000—2014年环渤海地区17个沿海地级市海洋经济增长质量主体的空间交互作用及空间效应进行研究；借助空间计量模型对海洋经济增长质量空间效应影响因素进行甄别。研究表明：① 环渤海地区海洋经济增长质量主体呈显著空间相关性，存在空间交互作用；② 海洋经济增长质量存在空间溢出的正反馈效应。影响因素中对环渤海地区海洋经济增长质量的直接贡献强度排序为：海洋环境>海洋产业>海洋人才>海洋资本>海洋科技，对其他地区溢出效应影响的排序为：海洋基建>海洋人才>海洋资本。研究为环渤海地区海洋政策制定提供一定参考依据。  相似文献   

大孔隙对径流过程影响的研究进展          下载免费PDF全文

吕海深 《水文》2020,40(1):13-17

大孔隙流是土壤优先流的一种,在植被发育区土壤大孔隙比较常见,对径流形成过程产生重要的影响。介绍了大孔隙流的研究方法,系统总结了近50年植被发育区土壤大孔隙对降雨入渗过程及径流形成过程的影响:从水分入渗的角度,大孔隙可以加快降雨入渗过程;由土壤大孔隙流与山坡产流的关系,大孔隙促进了边坡雨水的运动进而引起了快速产流;世界范围内的研究都表明土壤管流或大孔隙流是径流组分重要贡献者。  相似文献   

经济地理学视角下创新网络与区域增长研究述评     

曹贤忠  曾刚 《热带地理》2019,39(3):472-478

创新是引领经济发展的第一动力，创新与区域增长之间的关系成为经济地理学者关注的重点领域。文章通过梳理近年来有关创新网络测度、创新网络与区域增长关系、创新网络作用于区域增长方式等方面的文献发现：网络资本可以弥补社会资本在解释企业创新结网经济价值方面的不足，区域增长呈现出网络化特征已成为学界共识，知识流与邻近性能较好地解释创新网络与区域增长的关系机理。然而，当前研究对社会资本如何促进区域增长，网络资本与区域增长关系模型如何构建，不同类型的邻近性与知识对区域增长的影响有何差异等问题尚不明确，建议重视网络资本对区域增长的作用并实证检验二者的关联，同时还应重视创新网络中企业家精神、创新个体心理行为特征等因素对区域增长的影响。  相似文献   

Comparison of life-history parameters and effectiveness in competition with Moina macrocopa between two Keratella tropica morphs     

《Limnologica》2020

Competition and predation are the two major biotic interactions in zooplankton community. Various rotifer species exhibit polymorphism in lorica and spine morphology in the presence of predators and competitors, which effectively increases their defence competition capacity. This study compared life-history parameters between long-spined morph (LSM) and short-spined morph (SSM) of Keratella tropica at three temperatures. The results showed that both morphs showed significantly higher intrinsic rate of population increase at 25 °C than those at 20 °C and 30 °C. The intrinsic rate of population increase was significantly lower in LSM than SSM at 25 °C and 30 °C, and the net reproductive rate was significantly lower in LSM than SSM at 30 °C. These results suggested that K. tropica had cost on development of long spines, which, however, was dependent on temperature. Moreover, the competition outcome of LSM and SSM with Moina macrocopa were investigated at three densities of Scenedesmus obliquus (0.5 × 10⁶, 1.0 × 10⁶ and 2.0 × 10⁶ cells/mL) and three initial densities of M. macrocopa (0.1, 0.3 and 0.9 ind./mL), revealing that both LSM and SSM populations decreased significantly at all tested algal densities and Moina levels. LSM showed higher population growth rate than SSM at lower algal density (0.5 × 10⁶ cells/mL) and higher Moina densities (0.3 and 0.9 ind./mL), which suggested that LSM could be more effective to defend M. macrocopa. Three-way analysis of variance showed no significant effects of algal density on population growth rate of K. tropica, but interaction between algal density and M. macrocopa density significantly affected its population growth rate.  相似文献   

Environmental determinants of species turnover of aquatic Heteroptera in freshwater ecosystems of the Western Ghats,India     

《Limnologica》2020

Partitioning beta diversity into its two components of spatial turnover and nestedness is a more robust method for checking spatial variability in biological communities than calculating the total beta diversity alone. The relative contribution of spatial turnover and nestedness has been used to test the effects of climatic, environmental, spatial and temporal variables on community composition. In this study, we tested the effects of environmental factors and microhabitat features on total beta diversity and its spatial turnover and nestedness components using a comprehensive dataset of aquatic Heteroptera collected from four types of permanent freshwater habitats (i.e. streams, ponds, rock tanks and reservoirs) in the Western Ghats of India. We observed that communities in all four types of habitats were predominantly shaped by dissimilarity caused due to spatial turnover (>85 %). Each type of habitat showed the presence of one or more species uniquely associated with it, which might contribute to the turnover between communities. The abiotic environment (climatic factors, topological factors, soil characteristics and microhabitat features) as well as assemblage structure differed significantly between habitat types. Communities in each type of habitat were affected by different environmental factors, such as precipitation and temperature patterns for streams, altitude and rocky substrate for rock tanks, and soil characteristics and the presence of aquatic macrophytes for ponds and reservoirs. Assemblages observed in the four types of permanent habitats are thus compositionally distinct due to species replacements between local communities, which in turn are strongly influenced by environmental variables. Similar to previous studies, our results show that spatial turnover largely measures the same phenomenon as total beta diversity on a regional scale.  相似文献   

How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?     

《地学前缘(英文版)》2020,11(3):871-883

Landslides are abundant in mountainous regions.They are responsible for substantial damages and losses in those areas.The A1 Highway,which is an important road in Algeria,was sometimes constructed in mountainous and/or semi-mountainous areas.Previous studies of landslide susceptibility mapping conducted near this road using statistical and expert methods have yielded ordinary results.In this research,we are interested in how do machine learning techniques help in increasing accuracy of landslide susceptibility maps in the vicinity of the A1 Highway corridor.To do this,an important section at Ain Bouziane(NE,Algeria) is chosen as a case study to evaluate the landslide susceptibility using three different machine learning methods,namely,random forest(RF),support vector machine(SVM),and boosted regression tree(BRT).First,an inventory map and nine input factors were prepared for landslide susceptibility mapping(LSM) analyses.The three models were constructed to find the most susceptible areas to this phenomenon.The results were assessed by calculating the receiver operating characteristic(ROC) curve,the standard error(Std.error),and the confidence interval(CI) at 95%.The RF model reached the highest predictive accuracy(AUC=97.2%) comparatively to the other models.The outcomes of this research proved that the obtained machine learning models had the ability to predict future landslide locations in this important road section.In addition,their application gives an improvement of the accuracy of LSMs near the road corridor.The machine learning models may become an important prediction tool that will identify landslide alleviation actions.  相似文献   

海南典型热带海草床4种代表性鱼类的生长特征及其对海草资源量变化的响应     

陈启明  刘松林  张弛  崔黎军  江志坚  吴云超  黄小平 《热带海洋学报》2020,39(5):62-70

文章以海南岛新村湾、黎安港和潭门港海草床为研究区域, 选取褐篮子鱼(Siganus fuscessens)、点斑篮子鱼(Siganus guttatus)、四带牙鯻(Pelates quadrilineatus)和细鳞鯻(Terapon jarbua) 4种代表性鱼类为研究对象, 分析其体长与体质量的关系, 并探讨4种鱼类对海草资源量变化的响应。结果表明, 除栖息于潭门港海草床的4种鱼为负异速生长, 其他区域海草床的鱼类均为正异速或等速生长; 4种鱼的体质量生长速率(即异速生长因子b)和肥满度呈现黎安港>新村湾>潭门港的趋势, 并与3个海草床的海草覆盖率、密度和生物量的变化趋势一致; 推测海草资源量下降可能增加鱼类的被捕食压力和减少食物来源, 从而导致生活于海草床的代表性鱼类生长速率下降。  相似文献   

NaHSO3对两种微藻生长及胞外多糖和藻胆蛋白含量的影响     

梁英  闫译允  黄徐林  田传远  胡乃霞  王帅 《中国海洋大学学报(自然科学版)》2020,(1):21-29

本文研究了0.25~3 mmol/L浓度的NaHSO3对紫球藻(Porphyridium violaceum)和0.06~0.96 mmol/L浓度的NaHSO3对蓝隐藻(Chroomonas placoidea)的叶绿素荧光参数(PSII最大光能转化效率Fv/Fm、相对电子传递速率rETR、光化学淬灭qP、非光化学淬灭NPQ)、细胞密度、干重、胞外多糖和藻胆蛋白含量的影响。研究表明,较低浓度的NaHSO3对紫球藻和蓝隐藻的生长及活性物质积累有促进作用,2种微藻进行生长和活性物质积累的最适NaHSO3浓度分别为0.5和0.12 mmol/L,此条件下,实验结束时,2种微藻的Fv/Fm、rETR、qP、细胞密度、干重、胞外多糖和藻胆蛋白含量均达到最大值,显著高于对照组。其中,紫球藻的最终细胞密度、干重、胞外多糖和藻胆蛋白含量分别比对照组增加了36.0%、19.1%、71.8%和69.0%。蓝隐藻的上述参数在NaHSO3浓度为0.12 mmol/L时则比对照组增加了60.8%、45.4%、60.0%和53.1%。另一方面,NaHSO3浓度为2~3 mmol/L时显著抑制紫球藻生长及活性物质积累,NaHSO3浓度为0.48~0.96 mmol/L则不利于蓝隐藻生长及活性物质积累。研究结果表明,适合紫球藻和蓝隐藻生长及胞外多糖和藻胆蛋白积累的最佳NaHSO3浓度分别为0.5和0.12 mmol/L,该研究为2种微藻的开发利用提供了理论依据。  相似文献   

Clinoform growth and sediment flux into late Cenozoic Qiongdongnan shelf margin,South China Sea     

Si Chen  Ronald Steel  Hua Wang  Rui Zhao  Cornel Olariu 《Basin Research》2020,32(2):302-319

The South China Sea continental margin in the Qiongdongnan Basin (QDNB) area has incrementally prograded since 10.5 Ma generating a margin sediment prism more than 4km-thick and 150–200 km wide above the well-dated T40 stratigraphic surface. Core and well log data, as well as clinoform morphology and growth patterns along 28 2D seismic reflection lines, illustrate the evolving architecture and margin morphology; through five main seismic-stratigraphic surfaces (T40, T30, T27, T20 and T0) frame 15 clinothems in the southwest that reduce over some 200 km to 8 clinoforms in the northeast. The overall margin geometry shows a remarkable change from sigmoidal, strongly progradational and aggradational in the west to weakly progradational in the east. Vertical sediment accumulation rate increased significantly across the entire margin after 2.4 Ma, with a marked increase in mud content in the succession. Furthermore, an estimate of sediment flux across successive clinoforms on each of the three selected seismic cross sections indicate an overall decrease in sediment discharge west to east, away from the Red River depocenter, as well as a decrease in the percentage of total discharge crossing the shelf break in this same direction. The QDNB Late Cenozoic continental margin growth, with its overall increased sediment flux, responded to the climate-induced, gradual cooling and falling global sea level during this icehouse period.  相似文献   

辽宁沿海地区海洋经济增长质量空间特征及影响要素     

李博  田闯  史钊源  韩增林 《地理科学进展》2019,38(7):1080-1092

在海洋经济质量转型之期,基于“认知—评价—建构—优化”理念,界定海洋经济增长质量内涵,通过中心-引力模型评价分析2000—2014年辽宁沿海地区海洋经济增长质量空间特征,构建了海洋经济增长质量模型,识别影响其空间特征的相关要素,并根据要素作用程度提出优化建议。研究发现：① 辽宁沿海地区海洋经济增长质量呈“核心—圈层”结构,形成以大连为“领头雁”的雁阵式相互继起模式;“钻石型”引力流结构促成辽宁沿海地区集中化连片发展格局;② 海洋经济增长质量空间特征主要受空间集聚效应影响,海洋资本、海洋基建和海洋产业结构成为推动海洋经济增长质量循环引力流的顺流机制,其中海洋产业结构成为影响辽宁海洋经济增长质量圈层空间集聚效应的关键流;海洋人才成为制约海洋经济增长质量循环引力流的逆流机制;③ 通过路径作用程度的象限划分,提出强化大连中心地职能,针对腹地城市定位及资源禀赋条件提出调控措施,推进沿海区域协调与一体化进程。  相似文献