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| 1 | 珠江禁渔对广东鲂资源补充群体的影响分析显示文摘继我国各大水系实施禁渔期制度之后,珠江水系于2011年4月1日至6月1日实现首次禁渔。广东鲂是珠江中下游地区主要的经济鱼类之一,为分析珠江实施禁渔期制度对广东鲂资源补充群体的影响,于珠江实施禁渔制度前(2006—2010年)和禁渔制度后(2011—2012年)在珠江下游肇庆江段设立固定采样点,利用定量弶网对流经该江段的广东鲂鱼苗补充群体进行调查。结果显示,禁渔前,珠江广东鲂鱼苗集中出现在4月中下旬至10月中旬,持续时间为(189±11)d,高峰期为6—8月。禁渔期制度实施之后,全年广东鲂鱼苗出现的起始时间变化不大,但是结束时间提前,持续时间略有缩短,4—5月份广东鲂鱼苗密度明显增大。广东鲂鱼苗总量及其在鱼苗补充群体中的比例均有所提高。根据禁渔前广东鲂鱼苗发生量与径流量之间存在的回归关系:LgY=0.988Lnx-4.932(R2=0.365,P<0.01),结合禁渔后实际调查结果,对禁渔的实际作用进行了估算,2011年和2012年由于禁渔分别增加了9.43×108和651.81×108尾广东鲂鱼苗。研究表明,在径流量有保障的前提下,目前的禁渔制度可以有效增加广东鲂鱼苗补充群体资源量。 | 李跃飞 李新辉 杨计平 SOVAN Lek 帅方敏 李捷 | 2014 | 水产学报2014，38，4： | 15 |
| 2 | 西江颗粒直链藻种群生态特征显示文摘西江肇庆段是珠江干流汇入珠三角河网水域的咽喉通道,结合长期定点连续采样和空间季节性调查,重点对2009年西江干流肇庆段的颗粒直链藻(Aulacoseira granulata)的种群生态学特征进行系统分析。结果显示:全年中,颗粒直链藻在总种群中所占百分比均值为25.37%,与总种群丰度存在极显著正相关关系,这表明颗粒直链藻是西江浮游植物群落的重要优势种。调查期间发现了颗粒直链藻的4种形态,包括原变种(var.granulata)、极狭变种(var.angustissima)、弯曲变种(var.curvata)和极狭变种螺旋变型(var.angustissima f.spiralis)。其中,原变种占有绝对优势地位,其相对百分组成的年均值为91.47%,推测为原变种的形态结构比其它3种形态更容易适应外界环境变化,进而形成优势群体。颗粒直链藻总密度的周年变化呈现明显的双峰型,两个峰值分别出现在8月和11月,主要得益于适宜的水温、相对稳定的水体和较高的营养盐水平,这些均有助于颗粒直链藻的生长繁殖。第一个高峰之前,颗粒直链藻总密度未出现明显的波动,这很可能是由于水体径流量增大导致的稀释作用和频繁降雨导致的水体剧烈波动对颗粒直链藻增长的负作用掩盖了水温上升所带来的益处。从空间分布来看,颗粒直链藻总丰度的最大值一般出现在S1、S5和S6站点,这与营养盐最大值的空间分布格局是一致的。 | 王超 赖子尼 李跃飞 李新辉 Sovan Lek 洪颐 谭细畅 李捷 | 2012 | 生态学报2012，32，15： | 13 |
| 3 | 珠三角河网水域栅藻的时空分布特征显示文摘珠三角河网水域是珠江之水流入南海的必经之地,对2012年该水域浮游植物群落中的栅藻种类丰富度和生物量的时空特征及其环境影响因子进行系统阐析。调查期间共发现栅藻24种(包括变种、变型),其中具刺和无刺种类分别为11种和13种。出现率高且生物量贡献率大的物种仅3种,包括被甲栅藻原变种(Scenedesmus armatus var.armatus)、被甲栅藻博格变种双尾变型(S.armatus var.boglariensis f.bicaudatus)和二形栅藻(S.dimorphus),分析认为这3个物种在栅藻种群中的生态优势很可能与其形态特征存在一定的关联。栅藻种类丰富度的季节分布呈现丰水期高于枯水期的特征,空间分布呈现河网中部站位低于外侧站位的特征。此外,种类丰富度的空间分布格局存在季节差异,丰水季节呈现河网中部站位明显低于外侧站位的特征,而枯水季节西江沿线站位种类丰富度明显偏低。分析认为,水温和径流是影响栅藻种类丰富度季节变动的关键因素;同时,径流也是影响总种类丰富度空间分布格局的关键因素,而水温和营养盐是影响不同季节种类丰富度的空间格局的重要因素。栅藻种群生物量的季节分布呈现丰水期高于枯水期的特征,空间分布表现为珠江桥站位的生物量明显高于其它站位。分析认为,径流和水温是决定种群生物量季节变动的关键因素,而营养盐、水体稳定性和盐度是决定生物量空间分布格局的关键因素。栅藻生物量与种类丰富度的关系基本符合单峰模型,且偏重于单峰模型的上升区,丰富了全球多样性模式的分级特征和区域特征。 | 王超 李新辉 赖子尼 曾艳艺 高原 刘乾甫 杨婉玲 LEK Sovan | 2014 | 生态学报2014，34，7： | 7 |
| 4 | Influence of peach(Prunus persica Batsch)phenological stage on the short-term changes in oxidizable and labile pools of soil organic carbon and activities of carbon-cycle enzymes in the North-Western Himalayas显示文摘The labile organic carbon(C)and C-related enzymes are sensitive indicators capturing alterations of soil organic matter(SOM),even in a short-time scale.Although the effects of crop husbandry and land use change on these attributes have been well studied,there is no consensus about how plant phenology may impact them.This study aimed to determine the short-term effect o f six distinct phenological stages(PS-1:full bloom;PS-2:fruit set;PS-3:pit hardening;PS-4:physiological maturity;PS-5:60 d after physiological maturity;and PS-6:fall)o f peach on the changes in soil organic carbon(SOC)fractions of different oxidizability,labile C pools,and C-cycle enzyme activities in soils,for two consecutive years(2015 and 2016)in the North-Western Himalayas(NWH).Peach rhizosphere soils were sampled at the topsoil(0-15 cm)and subsoil(16-30 cm)layers,along with rhizosphere soils from adjacent perennial grasses,which served as a control.Values for most of the assessed parameters,including very labile C,labile C,microbial biomass C,permanganate oxidizable C,dissolved organic C,mineralizable C,amylase activity,and carboxymethyl-cellulase activity,were significantly(P<0.05)higher at PS-3 than at other phenological stages of peach.Conversely,a sudden decline in these soil variables was recorded at PS-5,followed by a slight buildup at PS-6,particularly in the topsoil of the peach orchard.Short-term changes in organic C fractions of different oxidizability,influenced by peach phenological stage,significantly(P<0.05)affected C management index,C pool index,and lability index.Both the C management index and lability index showed their highest values at PS-3 and their lowest values at PS-5,clearly indicating short-term accretion and depletion of SOC,in tandem with the peach phenological events.Principal component analysis suggested that a composite of soil indicators,including microbial biomass C,dissolved organic C,amylase,and invertase,could help detect short-term changes in SOC content.It is concluded that peach phenological events had a major impact on the short-term variations of the studied soil variables,which could be attributed to changes in the above-and belowground plant residues,as well as the extent of nutrients and water acquisition. | Sovan DEBNATH Brij Lai ATTRI Anil KUMAR Arun KISHOR Raj NARAYAN Kanchan SINHA Arpan BHOWMIK Anil SHARMA Desh Beer SINGH | 2020 | Pedosphere2020，30，5： | 2 |
| 5 | Fish larvae annual dynamics and relationship with hydrological variation in the Pearl River显示文摘 | TAN X C LI X H SOVAN L | 2010 | Environmental Biology of Fishes2010，88，： | 1 |
| 6 | Diel activity of adult pikeperch Sander lucioperca (L.) in a drainage canal in the Mediterranean basin during spring显示文摘 | Nicolas Poulet Céline Arzel Samir Messad Sovan Lek Christine Argillier | 2005 | Hydrobiologia2005，，1： | 1 |
| 7 | Spatio-temporal variability of periphytic protozoa related to environment in the Niyang River,Tibet,China显示文摘The Niyang River, a main tributary of the Yarlung Zangbo River, is an important and typical plateau river ecosystem in Tibet, China. At present, few studies have focused on its aquatic living resources and river ecology. In this study, the composition, abundance, and diversity of periphytic protozoa were investigated across four seasons from 2008 to 2009 to better understand their spatio-temporal patterns and relationship to the environment. Our investigation shows that periphytic protozoa in the Niyang River contained 15 genera, belonged to Tubulinea, Alveolata, Discosea and Rhizaria, Alveolata possessed most genera, up to nine, with highest share in abundance, exceeding 50%, Difflugia and Glaucoma were dominant genera. Moreover, four diversity indices of periphytic protozoa, including species richness, total abundance, Shannon-Wiener diversity index and Pielou's evenness index, displayed a significant descending trend as the seasons continued, in the order of winter, spring, summer and autumn; with a significant difference existing between winter and summer(or autumn) for Shannon-Wiener diversity index and species richness( P <0.05). Four of these diversity indices also presented a V-shaped pattern between the upper middle course of the Niyang River and the confluence of the Niyang River and Yarlung Zangbo River, with the lowest value occurred in the middle course of the Niyang River. However, no significant variation was found through the Niyang River( P >0.05). In addition, canonical correlation analysis(CCA) shows that the densities of Difflugia, Glaucoma is, Enchelydium, Cyphoderia, and Enchelys correlate with water temperature, alkalinity, hardness, pH, and dissolved oxygen, respectively. Lastly, the relationship between periphytic protozoa diversity and the environmental factors of the Niyang River can be predicted using classification and regression trees(CART) annalysis, which suggests that the total abundance and Shannon-Wiener diversity index would be higher when the elevation is above 3 308 m. On the other hand, the Shannon-Wiener diversity index and Pielou's evenness index would be lower when pH and ammoniacal nitrogen have lower or higher values. Finally yet importantly, close attention should be paid to periphytic protozoa and its environment to ensure sustainable development of the Niyang River ecosystem. | 刘海平 叶少文 杨学峰 郭传波 张惠娟 范丽卿 张良松 Sovan Lek 李钟杰 | 2017 | Chinese Journal of Oceanology and Limnology2017，35，3： | 1 |
| 8 | Predicting stream nitrogen concentration from watershed features using neural networks显示文摘 | Sovan L Maritxu G | 1999 | Water Research1999，33，16： | 1 |
| 9 | Artificial neural networks as a tool in ecological modelling, an introduction显示文摘 | Sovan Lek J.F. Guégan | 1999 | Ecological Modelling1999，，2： | 1 |
| 10 | Annual dynamics of the abundance of fish larvae and its relationship with hydrological variation in the Pearl River显示文摘 | Tan X C Li X H Lek Sovan | 2010 | En- vironmental Biology of Fishes2010，88，3： | 1 |
| 11 | Predicting Stream Nitrogen Concentration From Watershed Features Using Neural Networks显示文摘 | Maritxu G Jean-luc G | 1999 | Water Research1999，33，16： | 1 |
| 12 | Crystallographic studies of high-density organic compounds:4-Amino-5-nitrobenzobisoxadia zole 3,8-Dioxide显示文摘 | Ammon Sovan K | 1982 | Acta Crystallographica1982，38，： | 1 |
| 13 | Predicting stream nitrogen concentration from watershed features using neural networks显示文摘 | Sovan L Maritxu G | 1999 | Water Research1999，33，16： | 1 |
| 14 | Artificial neural networks as a tool in ecological modeling,an introduction显示文摘 | Guegan J F | 1999 | Ecological Modeling1999，120，： | 1 |
| 15 | Annual dynamics of the abundance of fish larvae and its relationship with hydrological variation in the Pearl River 显示文摘 | Xichang Tan Xinhui Li Sovan Lek | 2010 | Environ Biol Fish2010，88，： | 1 |
| 16 | Regulation of autophagy by mTOR-dependent and mTOR-independent pathways:autophagy dysfunction in neurodegenerative diseases and therapeutic application of autophagy enhancers显示文摘 | Sovan Sarkar | 2013 | Biochemical Society Transa- ctions2013，41，5： | 1 |
| 17 | Structure of endemic fish assemblages in the upper Yangtze River Basin显示文摘 | HE Y F WANG J W SOVAN L | 2010 | River Research and Applications2010，27，1： | 1 |
| 18 | Two-way interaction of input variables in the sensitivity analysis of neural network models 显示文摘 | Muriel Gevreya Ioannis Dimopoulosb Sovan Leka | 2006 | Ecological Modelling2006，195，： | 1 |
| 19 | Predicting stream Nitrogen concen- tration from watershed featuresusing neuralnet works 显示文摘 | Sovan L Mrritxu G Jeanluc G | 1999 | Water Research1999，33，16： | 1 |
| 20 | Flanking microsatellite markers for breeding varieties against asian rice Gall Midge显示文摘 | NANDA A MOHANTY S K SOVAN PANDA R | 2010 | Tropical Plant Biolo- gy2010，3，4： | 1 |
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