捕食者有无限时滞效应的两种群系统的全局渐近稳定性

本文用Liapunov泛函方法研究捕食者有无限时滞效应的捕食-被捕食系统的平衡状态的稳定性．文章提供了判定系统的平衡状态全局渐近稳定的简单条件,不要求积分核指数衰减.     

两种作物套种生态系统动态模型的建立及分析

本文主要建立小麦、大豆两种作物套种共生生态系统的Volterra方程模型．分析该模型得知,此生态系统是相互竞争的,其自身增长率因环境因素而受抑制,且是全局稳定的．其次计算出该生态系统在平衡状态处受到标准扰动之后,向平衡状态恢复的时间,有利套种作物生长的调控。     

基于椭圆脐点突变模型的大熊猫生存状态研究

得益于有力的保护,大熊猫受威胁等级由"濒危"降为"易危"。根据全国大熊猫调查数据,近年来,大熊猫野生种群与栖息地面积总体上均处于持续增加态势;同时,大熊猫栖息地破碎化与局域种群隔离也呈加剧的趋势。两相对比,形成悖论现象,难以正确认知当前大熊猫的生存状态。大熊猫作为高度特化的K对策大型动物,其生存高度依赖于栖息地生态系统,极易受栖息地丧失与破碎化的影响。对大熊猫生存状态的研究,不应局限于栖息地或种群等单项指标的变化,而应基于系统科学的整体视角。结合全国第三、四次大熊猫调查数据,对大熊猫野生种群数量与栖息地及潜在栖息地的面积进行复相关分析,发现大熊猫野生种群数量与栖息地、潜在栖息地的面积之间存在着高度显著正相关,表明三者之间存在着稳定而密切的耦合关系,进而建立了大熊猫种群与栖息地、潜在栖息地之间的耦合函数。突变理论作为一种成熟的系统科学理论,提供了较完备的数学方法,利用系统中少量的关键指标便可实现对系统行为的刻画。基于突变理论,以大熊猫分布区生态系统为研究对象,选取了大熊猫种群数量、栖息地与潜在栖息地的面积为系统关键指标,利用种群与栖息地、潜在栖息地之间的耦合函数,构建了"大熊猫—栖息地"系统椭圆脐点突变模型,对生态系统的稳定性进行研究。发现虽然野生种群数量、栖息地与潜在栖息地的面积均持续增长,但严峻的局域种群生存危机与栖息地的高度破碎化,从总体上削弱了系统的稳定性,大熊猫分布区生态系统的稳定性处于持续下降态势,且濒临系统临界状态,生态系统具有较大的退化压力,大熊猫的生存危机依然严峻。     

基于复杂网络的生态系统稳定性与生态多样性

生态多样性和稳定性之间的内在机理一直是研究热点。本文利用复杂网络理论,根据具体的阔叶混交林生态系统,把物种看成是节点,物种间的捕食关系看成是有向边,物种之间捕食依赖程度看成是边权,构建食物网的复杂有向加权网络。在随机或有选择地移除网络节点的情况下,利用相关指标,计算系统的稳定性和多样性,研究它们之间的关联性。结果表明,在阔叶混交林生态系统中,特定物种的丧失使生态多样性降低,影响了生态系统中能量供求的平衡关系,引起相关物种生活习性的改变,转而对其他物种加大捕食力度,使原本稳定的捕食关系逐渐破裂。捕食关系的不断破裂最终促使生态系统的稳定性下降。因此,在阔叶混交林生态系统中,生态多样性的丧失会降低系统的稳定性,多样性与稳定性呈正相关。     

一类捕食者与被捕食者模型的持久性与稳定性

研究了一类捕食者与被捕食者模型,该生态系统是一个食饵种群被一个捕食种群捕食.当给定参数满足一定条件下,利用比较原理和构造Lyapunov函数的方法,证明了系统的持久性和全局渐近稳定性,并讨论了正平衡点的渐近稳定性.     

一类非自治捕食-被捕食系统的全局渐近稳定性

本文研究了一类非自治捕食-被捕食的周期系统．当周期为ω＞0时,在某些条件下证明了该系统正周期解的存在唯一性和全局渐近稳定性．     

具有状态反馈收获项的第Ⅲ类功能性反应模型的分支与极限环

研究了带有功能性反应捕食项的捕食与食饵模型在线性状态反馈收获的作用下所呈现的复杂性质,其中包括正平衡点的存在与唯一性、平衡点的渐近稳定性、产生分支的原因与极限坏的存在性等,研究结果表明：通过调整反馈项的系数,可以改变该系统正平衡点的稳定性,从而使系统或是稳定在正平衡点处,或是在正平衡点处产生周期运动,本文的结果为研究再生性资源管理中的复杂性问题奠定了理论基础。     

基于熵值法与变异系数的大熊猫分布区生态系统评价

近年来大熊猫栖息地、竹林的面积与野生种群数量均有较大增长,同时栖息地破碎化与局域种群隔离也有加剧趋势.正确认知当前大熊猫分布区生态系统的状态,对于大熊猫保护至关重要.以大熊猫分布区为研究区域,3次全国大熊猫调查为时间节点,依据等级系统理论对分布区及六大山系生态系统进行分解,联合应用熵值法、变异系数、相关性分析,基于全国大熊猫调查数据与相关文献数据,对分布区及六大山系生态系统演化规律进行了研究.发现在生态系统持续改善的背景下,不同山系生态系统的演化与现状存在差异性,六大山系可以分为3个组别,组内山系的生态系统具有较大共性,组间区别较大;同时,栖息地破碎化与局域种群隔离,造成生态系统质量的普遍下降.应因地制宜地制定差异化的生态保护措施,才能更好地实现各山系大熊猫生态系统的持续改善.     

生态位构建作用对捕食-竞争系统的影响

生态位构建是指有机体所具有的改变其生存环境以促进自身生存与发展的能力。文章通过数值模拟竞争环境下具有捕食关系的各物种间的相互作用, 探讨了生态位构建作用对于捕食-竞争系统中物种数量变化及其空间分布模式的影响。研究结果表明: 物种的生态位构建行为不会破坏生态环境的稳定性, 但能有效提高构建物种的竞争力, 维持其在不利环境中与竞争物种共处的平衡状态; 同时, 生态位构建行为加强了构建物种的空间扩散能力, 促使构建物种迅速迁移至有利于自身生存的空间生境中, 成为捕食-竞争系统中的稳定生存物种; 而由于可供分配的资源有限, 有机体的构建行为与扩张行为之间存在的trade-off 关系使其空间分布区域维持在一定的平衡状态, 不会出现无限制的空间扩散。     

一类食饵具有常数投放率系统的恢复率

在现实的生态系统中,特别当捕食者的密度大或捕食能力强时,人们常采用食饵补充的方式来控制捕食者和食饵种群数量的稳定,以达到生态平衡．本文在Chisholm,R．A．和Filotas,E．研究的捕食-食饵模型基础上,定义了食饵具有常数投放率的捕食系统,讨论了此系统的恢复率与食饵最大容量之间的关系以及投放率对恢复率和预警长度的影响．最后通过算例分析了递减的恢复率作为系统转移的指示器与投放率与食饵最大容量的关系,说明食饵的投放率可增强预警效果．     

Automatically detecting the wild giant panda using deep learning with context and species distribution model

The giant panda is a flagship species in ecological conservation. The infrared camera trap is an effective tool for monitoring the giant panda. Images captured by infrared camera traps must be accurately recognized before further statistical analyses can be implemented. Previous research has demonstrated that spatiotemporal and positional contextual information and the species distribution model (SDM) can improve image detection accuracy, especially for difficult-to-see images. Difficult-to-see images include those in which individual animals are only partially observed and it is challenging for the model to detect those individuals. By utilizing the attention mechanism, we developed a unique method based on deep learning that incorporates object detection, contextual information, and the SDM to achieve better detection performance in difficult-to-see images. We obtained 1169 images of the wild giant panda and divided them into a training set and a test set in a 4:1 ratio. Model assessment metrics showed that our proposed model achieved an overall performance of 98.1% in mAP_0.5 and 82.9% in recall on difficult-to-see images. Our research demonstrated that the fine-grained multimodal-fusing method applied to monitoring giant pandas in the wild can better detect the difficult-to-see panda images to enhance the wildlife monitoring system.     

基于发育网络识别模型的大熊猫面部识别

个体识别是动物行为学与生态学研究工作的基础,也是制定珍稀野生动物保护政策的重要依据。为了丰富大熊猫个体识别和种群数量调查的方法,我们于2017年7月分别在四川省雅安市碧峰峡大熊猫基地和四川省汶川县耿达镇的中华大熊猫苑共计拍摄18只大熊猫个体,每只大熊猫拍摄6~13张高质量面部照片（共计131张）,利用发育网络（Developmental Network）建立大熊猫面部识别模型。利用此模型对存在部分背景的大熊猫面部照片进行识别检测,得到的个体识别率为79.41%,对完全去除背景的大熊猫面部照片进行识别检测,得到的个体识别率为58.82%。研究表明,发育网络具有足够的大熊猫个体识别能力,不同背景比例的照片对大熊猫个体识别的实际结果具有较大的影响。随着发育网络识别模型的发展,我们建议更多的野生动物保护研究者结合这一技术深入地开展珍稀野生动物（如大熊猫）个体识别研究,逐步提高识别准确度,并应用到关键区域大规模的动物调查中。     

Genome-wide survey and analysis of microsatellites in giant panda (Ailuropoda melanoleuca), with a focus on the applications of a novel microsatellite marker system

Background

The giant panda (Ailuropoda melanoleuca) is a critically endangered species endemic to China. Microsatellites have been preferred as the most popular molecular markers and proven effective in estimating population size, paternity test, genetic diversity for the critically endangered species. The availability of the giant panda complete genome sequences provided the opportunity to carry out genome-wide scans for all types of microsatellites markers, which now opens the way for the analysis and development of microsatellites in giant panda.

Results

By screening the whole genome sequence of giant panda in silico mining, we identified microsatellites in the genome of giant panda and analyzed their frequency and distribution in different genomic regions. Based on our search criteria, a repertoire of 855,058 SSRs was detected, with mono-nucleotides being the most abundant. SSRs were found in all genomic regions and were more abundant in non-coding regions than coding regions. A total of 160 primer pairs were designed to screen for polymorphic microsatellites using the selected tetranucleotide microsatellite sequences. The 51 novel polymorphic tetranucleotide microsatellite loci were discovered based on genotyping blood DNA from 22 captive giant pandas in this study. Finally, a total of 15 markers, which showed good polymorphism, stability, and repetition in faecal samples, were used to establish the novel microsatellite marker system for giant panda. Meanwhile, a genotyping database for Chengdu captive giant pandas (n = 57) were set up using this standardized system. What’s more, a universal individual identification method was established and the genetic diversity were analysed in this study as the applications of this marker system.

Conclusion

The microsatellite abundance and diversity were characterized in giant panda genomes. A total of 154,677 tetranucleotide microsatellites were identified and 15 of them were discovered as the polymorphic and stable loci. The individual identification method and the genetic diversity analysis method in this study provided adequate material for the future study of giant panda.

Electronic supplementary material

The online version of this article (doi:10.1186/s12864-015-1268-z) contains supplementary material, which is available to authorized users.     

四川省大熊猫保护地生态安全及其时空演变

大熊猫是生态保护的旗舰物种,保护大熊猫及其栖息地具有重要的示范作用和科学价值。中国致力于建设以国家公园为主体的自然保护地体系,分析大熊猫保护地生态安全,为建立大熊猫国家公园提供理论依据,具有重要意义。以四川省为例,选取被划入或将来可能被划入大熊猫保护地的典型县域,构建大熊猫保护地生态安全评价指标体系,采用熵权法、层次分析法进行综合评价,并结合空间相关性分析,从时间和空间两个维度对大熊猫保护地生态安全状况进行时空动态分析。结果表明：（1）2003-2017年四川省大熊猫保护地生态安全综合指数呈波动性上升趋势,生态环境改善显著,但仍有部分县域出现不同程度的环境恶化现象。（2）各县域生态安全状况表现出较强的差异性,并且相邻县域生态安全指数存在显著的空间正相关性和空间集聚性。（3）大熊猫保护地生态安全与周边社会经济发展之间矛盾依然尖锐,相邻县域之间的经济发展和生态保护状况相互影响的作用明显,需联合治理,共同促进生态平衡,提高大熊猫及其栖息地保护效果。     

Characterizing the spatial distribution of giant pandas (Ailuropoda melanoleuca) in fragmented forest landscapes

Aim To examine the effects of forest fragmentation on the distribution of the entire wild giant panda (Ailuropoda melanoleuca) population, and to propose a modelling approach for monitoring the spatial distribution and habitat of pandas at the landscape scale using Moderate Resolution Imaging Spectro‐radiometer (MODIS) enhanced vegetation index (EVI) time‐series data. Location Five mountain ranges in south‐western China (Qinling, Minshan, Qionglai, Xiangling and Liangshan). Methods Giant panda pseudo‐absence data were generated from data on panda occurrences obtained from the third national giant panda survey. To quantify the fragmentation of forests, 26 fragmentation metrics were derived from 16‐day composite MODIS 250‐m EVI multi‐temporal data and eight of these metrics were selected following factor analysis. The differences between panda presence and panda absence were examined by applying significance testing. A forward stepwise logistic regression was then applied to explore the relationship between panda distribution and forest fragmentation. Results Forest patch size, edge density and patch aggregation were found to have significant roles in determining the distribution of pandas. Patches of dense forest occupied by giant pandas were significantly larger, closer together and more contiguous than patches where giant pandas were not recorded. Forest fragmentation is least in the Qinling Mountains, while the Xiangling and Liangshan regions have most fragmentation. Using the selected landscape metrics, the logistic regression model predicted the distribution of giant pandas with an overall accuracy of 72.5% (κ = 0.45). However, when a knowledge‐based control for elevation and slope was applied to the regression, the overall accuracy of the model improved to 77.6% (κ = 0.55). Main conclusions Giant pandas appear sensitive to patch size and isolation effects associated with fragmentation of dense forest, implying that the design of effective conservation areas for wild giant pandas must include large and dense forest patches that are adjacent to other similar patches. The approach developed here is applicable for analysing the spatial distribution of the giant panda from multi‐temporal MODIS 250‐m EVI data and landscape metrics at the landscape scale.     

Assessing vulnerability of giant pandas to climate change in the Qinling Mountains of China

Climate change might pose an additional threat to the already vulnerable giant panda (Ailuropoda melanoleuca). Effective conservation efforts require projections of vulnerability of the giant panda in facing climate change and proactive strategies to reduce emerging climate‐related threats. We used the maximum entropy model to assess the vulnerability of giant panda to climate change in the Qinling Mountains of China. The results of modeling included the following findings: (1) the area of suitable habitat for giant pandas was projected to decrease by 281 km² from climate change by the 2050s; (2) the mean elevation of suitable habitat of giant panda was predicted to shift 30 m higher due to climate change over this period; (3) the network of nature reserves protect 61.73% of current suitable habitat for the species, and 59.23% of future suitable habitat; (4) current suitable habitat mainly located in Chenggu, Taibai, and Yangxian counties (with a total area of 987 km²) was predicted to be vulnerable. Assessing the vulnerability of giant panda provided adaptive strategies for conservation programs and national park construction. We proposed adaptation strategies to ameliorate the predicted impacts of climate change on giant panda, including establishing and adjusting reserves, establishing habitat corridors, improving adaptive capacity to climate change, and strengthening monitoring of giant panda.     

大熊猫脐带间充质干细胞外泌体的分离鉴定及miRNAs富集分析

大熊猫脐带间充质干细胞(Umbilical cord mesenchymal stem cells, UC-MSCs)通过旁分泌所释放的外泌体在大熊猫保健与疾病治疗方面具有一定的应用前景。本研究旨在建立大熊猫UC-MSCs外泌体分离方法,开展生物学特征分析和分子鉴定,并研究UC-MSCs外泌体中miRNAs的种类与功能。采用超速离心法从大熊猫UCMSCs培养上清中成功分离外泌体,通过透射电子显微镜进行形态学观察,纳米颗粒跟踪分析仪检测粒径大小,蛋白免疫印迹法检测特异性分子标记表达。采用Small RNA测序技术对UC-MSCs外泌体中的miRNAs进行鉴定,并对其靶基因进行了预测与功能分析。结果显示,大熊猫UC-MSCs外泌体呈圆形杯托状结构,直径为(79.15±4.81) nm,外泌体标志蛋白CD81与TSG101呈阳性表达而CALNEXIN呈阴性表达。大熊猫UC-MSCs外泌体中的miRNA主要为miR-148-3p (30.28%)与miR-21-5p (21.72%)。本研究首次从大熊猫UC-MSCs培养上清中分离出外泌体,并对其所含的miRNAs进行富集分析及功能预测,为大熊...     

基于野外痕迹点和GIS技术定量评估步道对大熊猫活动的影响

道路建设不仅直接导致野生动物死亡,还能对栖息地形成阻碍效应,导致小种群出现或隔离,增加物种灭绝的风险。生态学家在道路对野生动物影响研究中的一个重要进展是道路影响域(road-effectzone)的提出,但影响域既不能反映道路影响的变化性,也难以满足栖息地评估对数据的要求。为此,我们以大熊猫(Ailuropoda melanoleuca)为例来探讨道路影响的定量评估方法。在佛坪和长青保护区内选择了3条步道,获取了步道周边1,042个大熊猫的痕迹点数据,通过GIS计算各痕迹点到步道的距离,统计距离步道每20m内的痕迹点数量,以此作为其活动频率。在距步道每100m处设置检测点,通过非参数检验比较检测点前后活动频率分布的变化,寻找道路对大熊猫活动影响的突变点,确定影响变化的阈值距离和评价标准。研究发现在距离步道1,000m内,随距离的增加,大熊猫活动频率逐渐增大,大熊猫有明显的回避效应;在距步道500m、1,000m处发现活动频率发生了显著变化,为影响的阈值距离。本研究基于痕迹点和阈值距离的评估方法可以反映道路影响连续、渐变的特点,使定量、准确评估其影响成为可能。     

大熊猫等五种食肉动物血清蛋白和LDH同工酶盘电泳比较

大熊猫(Ailuropoda melanoleuca)是世界珍稀动物之一,近年来,兽类科学工作者对它进行了多方面的研究,也包括生化方面的工作(潘文石等,1982;Sarich,1973),但与其他食肉哺乳动物相比研究较少,而此又为探讨其分类地位所需。本文应用聚丙烯酰胺凝胶盘电泳,对大熊猫、小熊猫(AilurSs fulgens)、黑熊(Selenarctos thibetanus)、家猫及犬等5种食肉动物的血清蛋白和LDH同工酶进行比较分析,目的在于了解这5种动物的血清蛋白图象和LDH同工酶酶谱以及它们之间的谱型、相对活力、迁移率的异同,进而讨论大熊猫的分类地位。     

大熊猫精液和包皮菌群组成及潜在致病菌调查

[目的] 大熊猫是我国国家一级保护动物,其种群面临着传染病和栖息地破碎化等持续威胁,其中生殖系统的细菌感染和菌群失衡会影响大熊猫生殖健康,严重者可导致流产,是引起大熊猫繁殖障碍的原因之一。本研究对精液与包皮分泌物样本的菌群组成情况及分离培养潜在致病菌开展研究。[方法] 通过采集13份大熊猫包皮分泌物和12份精液样本,采用16S rRNA扩增子测序技术、细菌培养及PCR鉴定的方法,确定样本中的细菌种类。[结果] 菌群组成分析结果显示,在门水平上,厚壁菌门（Firmicutes）的细菌丰度在大熊猫包皮与精液中均为最高;在属水平上,不同时期的雄性大熊猫包皮的菌群可能会发生改变,棒状杆菌属（Corynebacterium）和Dolosicoccus是Ⅰ期包皮样本中最丰富的微生物菌群,相对丰度分别为15.45%和12.40%;链球菌属（Streptococcus）和埃希氏菌属（Escherichia）是Ⅱ期包皮样本中最丰富的微生物菌群,相对分度分别为37.94%和9.68%;拟杆菌属（Bacteroides）和普雷沃氏菌属（Prevotella）是精液样本中最丰富的微生物菌群,相对丰度分别为14.40%和12.88%。菌群多样性分析结果显示,精液样品高于Ⅰ期包皮样品和Ⅱ期包皮样品,Ⅰ期包皮样品和Ⅱ期包皮样品之间无显著差异。通过细菌分离培养得到肺炎克雷伯菌（Klebsiella pneumonia）在内的多种潜在性致病菌。[结论] 本研究分析了大熊猫精液和不同时期包皮分泌物的菌群组成,其优势菌属存在差异,大熊猫包皮与精液中存在潜在性致病菌,这可能对大熊猫的生殖系统健康带来威胁,其致病性有待进一步研究。