北京山区典型流域不同海拔椴树种群的空间点格局分析

采用点格局分析法对不同海拔的椴树(Tilia miqueliana Maxim.)种群进行分布格局及其种间关系进行了研究。结果表明:整体上群落内以中龄树个体数为最多,小树次之,成年树个体最少。随着海拔的增加可以看出:小树(d≤5 cm)随着海拔的增加而减少,中树(5 cm20 cm)的规律不明显;椴树种群的空间分布格局与空间尺度(25 m内)有密切关系,在较小的空间尺度上倾向于非随机分布,具有明显的空间相关性;在>15 m或25m的某临界尺度时却倾向于随机分布,同时空间关联变得微弱。随着海拔的增加,各物种聚集分布的尺度有逐渐减小的趋势。种间关系随着海拔的增加,物种间的正相关尺度有增加的趋势。     

抚育间伐对栓皮栎种群空间分布格局的影响

抚育间伐是一种重要的改善林木生长条件的经营措施,对林分结构和动态具有重要影响。为研究抚育间伐对林木种群空间结构与格局影响的内在机制,以间伐和未间伐的栓皮栎人工林为研究对象,通过设置2个100 m×100 m样地并进行每木定位和调查,在采用径级结构代替年龄结构方法将栓皮栎种群划分为幼树(2 cm≤DBH<5 cm)、小树(5 cm≤DBH<13 cm)和大树(DBH≥13 cm)3个生长阶段的基础上,分别采用Ripley’s K函数衍生的g(r)函数和双变量g12(r)函数,对栓皮栎种群空间分布点格局及不同生长阶段栓皮栎种群之间的关联性进行了研究。结果表明,间伐和未间伐样地栓皮栎种群空间分布点格局分别在0-16 m和0-33 m距离尺度内呈聚集分布,而分别在大于16 m和33 m距离尺度内呈随机分布;间伐和未间伐样地栓皮栎幼树、小树和大树的株数比分别为8?741?699和261?1134?683,且间伐样地栓皮栎幼树、小树和大树种群分别在0-14、1-16、0-6 m距离尺度内呈现均匀或聚集分布,而在其他距离尺度上表现为随机分布;栓皮栎幼树、小树和大树之间仅在间伐样地0-6 m距离尺度内呈现一定的相关性,而在未间伐样地更大的距离尺度内有显著的关联性,如栓皮栎幼树和大树之间在6-38 m距离尺度上呈显著正相关。因此,抚育间伐一定程度上使得栓皮栎种群在更大距离尺度上呈现出随机分布状态,并弱化了不同生长阶段的林木栓皮栎种群的关联性,这调整了栓皮栎种群空间竞争关系,有利于大径级林木个体的培育。该研究可以为开展抚育间伐对林木种群的影响的研究提供理论依据,也可以为制定科学合理的抚育技术措施提供参考。     

五大连池火山蒙古栎种群空间分布格局

种群空间格局研究是深入认识种群生态学功能和过程的有效途径,研究森林群落优势种群空间分布格局可为阐明其种群的生态特征和群落演替趋势提供参考依据。以五大连池4座老期火山南坡蒙古栎(Quercus mongolica)种群为研究对象,采用多尺度、多指数综合判定方法,分析不分龄级和不同龄级蒙古栎种群随空间尺度变化的空间分布特征。研究表明：(1)4座火山蒙古栎种群空间分布格局随空间尺度变化而不同,不分龄级种群在200 m²和400 m²尺度上以集群分布为主,但集群强度存在明显差异;龄级Ⅴ种群在25 m²和50 m²尺度上集群分布显著,而龄级Ⅶ种群在200 m²和400 m²尺度上集群分布显著。(2)4座火山蒙古栎种群空间分布格局均具有明显尺度效应,6个判别指数随尺度增大呈不同变化趋势,4座火山蒙古栎不分龄级种群呈幂函数递增趋势(46%)最多,龄级Ⅶ种群呈幂函数递增趋势的高达50%。(3)4座火山蒙古栎种群格局规模不同,不分龄级种群只有东焦得布山均方值在200 m     

不同放牧强度下星毛委陵菜(Potentilla acaulis)种群小尺度空间格局

利用R ip ley’s K函数以及蒙特卡罗(Monte Carlo)随机模拟方法,定量分析了4种放牧强度———无牧、轻牧(1.33只羊/hm2)、中牧(4.00只羊/hm2)、重牧(6.67只羊/hm2)下星毛委陵菜(Potentilla acaulis)种群的小尺度空间格局及其随尺度的变化规律;研究了放牧对星毛委陵菜种群空间格局的影响;并以放牧条件下星毛委陵菜的生活史特征、生态适应对策以及群落内植物种间的相互作用为基础,探讨产生和维持这些格局的机理.研究表明:(1)放牧对星毛委陵菜种群空间格局有显著影响,同一放牧强度下星毛委陵菜种群在不同尺度上的空间格局存在显著差异.(2)无牧条件下,星毛委陵菜种群在0~96 cm尺度上表现为集聚分布,在96~100 cm尺度为随机分布;轻牧条件下,星毛委陵菜种群在0~92 cm尺度上表现为集聚分布,在92~100 cm尺度为随机分布;中牧条件下,星毛委陵菜种群在0~72cm尺度上表现为集聚分布,在72~100 cm尺度为随机分布;重牧条件下,星毛委陵菜在20~22 cm尺度上表现为集聚分布,在15~17 cm、23~28 cm和46~50 cm尺度为均匀分布,在0~15 cm、17~20 cm、22~23 cm、28~46 cm和50~100 cm上为随机分布.(3)同一放牧强度下,随着尺度的增大,星毛委陵菜种群由集聚分布趋向于随机分布;且转变为随机分布时的尺度随着放牧强度的增大而逐渐缩小.这与星毛委陵菜生物学特性和种群对放牧压力的生态适应对策密切相关.(4)在0~100 cm尺度上,星毛委陵菜种群的集聚强度随着放牧强度的增大而逐渐减小,即:无牧>轻牧>中牧>重牧.(5)放牧活动改变了决定群落结构的有关过程的相对重要性.这些研究结果将为在放牧活动干扰下草原群落的演替提供理论依据.图2参24     

北京松山油松种群结构及空间分布格局

研究了北京松山自然保护区天然油松(Pinus tabulaeformisr)林的树冠结构和个体胸径,通过Ripley's K函数探讨了油松种群不同层次个体(幼树、小树和大树)的空间分布及空间关系,并探讨了地形(海拔高度、坡度)对油松种群空间分布的影响.结果表明,油松种群的胸径分布呈双峰型,应用Weibull函数拟合效果较好;树冠分布呈倒J型;胸径与冠幅存在显著的指数关系.油松种群呈聚集分布,但随高度增Jm(幼树→树→大树)聚集强度逐渐减弱,枯立木在样地内呈随机分布.枯立木与油松大树在1 m、5 m和13～18 m距离为显著正相关,幼树与小树在2～4 m和6～18 m距离呈显著正相关.海拔高度与油松种群呈正相关,坡度与幼树分布呈正相关,与小树和大树分布呈负相关.图5表2参24     

玄武湖菹草种群空间格局分析及其环境效应

大型水生植物的分布格局与空间尺度有着密切关系,传统的分析方法只能分析一种尺度下的格局。引入点格局分析,以种群空间分布坐标点图为基础,分析各种尺度下的种群格局。运用点格局分析对玄武湖菹草种群的空间分布格局进行研究,并结合N、P等水质指标探讨其环境效应。结果表明,玄武湖菹草种群分布集群特征明显,且在尺度232~344m内聚集最为明显。从水质监测结果看,菹草种群有利于改善水体环境,无种群区的TN、TP和NO3-N浓度明显高于有种群区;溶解氧(DO)则表现为有种群区高于无种群区。菹草在空间分布上的明显规律性,会进一步导致水质参数的空间异质性。     

中国种子植物物种丰富度的大尺度分布格局及其与地理因子的关系

地理因子对物种多样性空间分布格局的影响具有重要意义.文章利用大尺度的物种分布数据以及地理信息,结合GIS和数理统计方法,探讨了中国种子植物物种丰富度的空间分布格局及其与地理因子的关系.结果表明,从南到北,研究区域内物种丰富度总体上呈递减趋势;在经度梯度上,从东到西,物种丰富度呈递增趋势,这可能与其它地理因子的影响有关;在排除其它因子影响的情况下,物种丰富度随着面积的增加,呈递增趋势.但在其它地理因子的综合影响下,面积的影响作用被掩盖或弱化.物种丰富度随着海拔变幅的增加,呈显著递增趋势;物种丰富度与纬度变幅、经度变幅之间不存在显著的(偏)相关性.总体上,纬度、面积和海拔变幅均显著影响物种丰富度的分布格局,但相对而言,面积和纬度起着更为重要的影响.相对海拔变幅而言,海拔变幅与纬度之比值能更好地反映"生境异质性"效应,说明,海拔梯度的"纬度效应"值得关注.     

福建梅花山国家级自然保护区拟赤杨种群分布格局的分形分析

分形理论中的计盒维数、信息维数和关联维数能分别从空间占据程度、格局强度和个体空间关联的尺度变化角度,揭示种群分布格局的尺度变化特征.本文应用以上3个分形维数探讨了福建梅花山国家级自然保护区拟赤杨种群分布格局的多尺度分布规律,计算结果表明,拟赤杨种群的分布格局具有分形特征,其计盒维数为1.0298～1.2982,信息维数为0.9728～1.2464,关联维数为0.5089～0.8047.拟赤杨种群的计盒维数、信息维数较高,而关联维数较小,表明该种群的分布格局强度相对较高,结构相对复杂,具有集聚分布的趋势.     

城乡建设用地景观格局多尺度差异

以郑州市域内1989、2000和2009年的典型城市与农村样地（25 km×25 km）为例,应用空间自相关、半方差、以及九项轨迹方差分析方法,对城市与农村建设用地景观多尺度上的空间格局特征与动态差异进行研究,结果表明,（1）城市建设用地景观聚集强度较高,斑块规模较大,而农村建设用地景观在大部分尺度上呈随机或均匀分布,斑块规模较小。（2）随着尺度的增加,城市及农村建设用地景观分布状态都由聚集向均匀过渡,但前者过渡较为平缓,而后者在小尺度范围（0~2km）变化速度较快,在较大尺度（3~16 km）上其分布状态的波动较小。（3）1989-2009年,城市与农村建设用地景观动态特征有较大差异,并表现出尺度依赖性。城市较小尺度上（0~4 km）建设用地景观的分布状态表现出聚集-分散的趋势,在较大尺度上（8~14 km）表现出分散-聚集的变化趋势。农村小尺度上（0~4 km）建设用地景观的分布状态也表现出聚集-分散的趋势,但大尺度（4~16 km）上状态变化很小且没有规律。     

芦芽山土壤有机碳和全氮沿海拔梯度变化规律

研究不同海拔梯度和坡向的土壤碳氮分布,能在较小的空间尺度上反映不同气候状况下土壤碳氮分布规律,揭示多个互相关联的环境因子对土壤碳氮分布规律的综合影响。对山西省北部芦芽山芦芽山沿海拔梯度土壤有机碳和全氮含量的变化规律进行了分析。自海拔1703.1 m至2756.3 m每上升约50 m设置一个样带（共计21块）,每样带内布设30 m＆#215;30 m样地3个,每个样地内“S”形布点,分3层（0~10、10~25、25~40 cm）钻取土样。结果表明,在研究海拔范围内土壤垂直剖面自表层向下有机碳质量分数分别为（35.71±13.32）、（29.18±12.85）和（26.39±12.74） g＆#183; kg-1,全氮质量分数分别为（2.83±0.93）、（2.38±0.84）和（2.12±0.80） g＆#183; kg-1。土壤有机碳和全氮含量的分布特征均表现为随海拔升高而增加的趋势,与海拔呈极显著的线性正相关。土壤有机碳含量与海拔线性模型的回归系数在10~25 cm土层最大,而全氮与海拔线性模型的回归系数随土层深度增加而递减。土壤有机碳含量最高值出现在较高海拔处寒温性针叶林下,而土壤全氮含量最高值出现在最高海拔的亚高山草甸。碳氮含量的剖面分布呈现为表层（0~10 cm）最高,随深度下降而递减。研究区土壤C/N值介于5~19,最小值为海拔最高（2756.3 m）的亚高山草甸,而最大值为较高海拔分布的寒温性针叶林（2332.6 m）,沿海拔梯度表现呈“Λ”型的变化趋势。     

甘肃省森林区空气负离子分布特征研究

选择了甘肃省7个代表性林区,利用ITC-201A型智能便携式空气负离子测定仪对14种林分类型的空气负离子浓度进行了为期2年的测定与研究。结果显示：①森林空气负离子浓度针叶树种均值为578cm-3,阔叶树种均值为471cm-3;针叶混交林为722cm-3,针阔混交林为661cm-3,阔叶混交林为492cm-3;不同植被类型均值表现为：针叶混交林〉针阔混交林〉针叶树种〉阔叶混交林〉阔叶树种;②各森林区空气负离子浓度铁杉为最大（877cm-3）,冷杉为最小（372cm-3）,14种林分类型表现为：铁杉（Tsuga chinensis（Franch.）Pritz）〉针叶混交林（coniferous mixed forest）〉云杉（Picea crassifolia Kom.）〉针阔混交林（Mixed needle）〉华山松（Pinus armandii Franch.）〉落叶松（Larix gmelinii（Ruprecht）Kuzeneva）〉桦木（Betulasp.）〉杨树（Populussp.）〉油松（Pinus tabulaeformis Carr.）〉阔叶混交林（broadleaf mixed forest）〉栎类（Quercus）〉柏木（Cupressus fune-bris Endl.）〉椴树（Tilia tuan Szyszyl.）〉冷杉（Abies fabri（Mast.）Craib）;③空气负离子浓度与温度成负相关,相关性方程为y=-57.457x＋1486.2（R2=0.9105）,与空气相对湿度成正相关,相关性方程为y=9.3485x-103.57（R2=0.6801）。     

Intertype mark correlation function: A new tool for the analysis of species interactions

The spatial pattern of the different species in complex ecosystems reflects the underlying ecological processes. In this paper a second order moment function is proposed and tested to analyse the spatial distribution of a mark, which could be a tree characteristic such as diameter or height, between two different types of points, which could be two different tree species. The proposed function was a conditional density function based on the intertype K_rs(d) function, incorporating as test function the correlation of the marks between pairs composed of points of different types. The results obtained in simulated and real plots prove that the function is capable of revealing the scale at which spatial correlation of the mark between two types of points exists. The proposed function allows the spatial association between individuals of different species at different life stages to be identified. This analysis may reveal information on species ecology and interspecific interactions in forest ecosystems.     

Determinants of vigilance behavior in the ring-tailed coati (Nasua nasua): the importance of within-group spatial position

Individuals living in social groups are predicted to live under unequal predation risk due to their spatial location within the group. Previous work has indicated that individuals located at the edge of groups have higher “domains of danger”, thus are more likely to engage in vigilance or antipredator behavior. We studied the determinants of vigilance behavior in two groups of ring-tailed coatis in Iguazu National Park, Argentina. In addition to the expected pattern that coatis were more vigilant at the edge of the group, we found that individuals were particularly vigilant at the front edge of the group. This pattern conforms to predictions of differing predation risk caused by sit-and-wait predators with respect to mobile animal groups. In addition, coatis exhibited less vigilance when the number of neighbors within 5 m and group size increased. Of the three spatial variables tested, within-group spatial position was the most important predictor variable determining vigilance levels. These results confirm that spatial position has major effects on vigilance behavior, and that group directionality is an important factor which should be taken into account when measuring vigilance behavior. Coatis were more vigilant when juveniles less than 6 months old were in the groups. The presence of these young juveniles also affected the relationship between alarm response and vigilance levels. Coatis were more vigilant after strong alarm reactions, but only when young juveniles were not present in the groups. This may indicate that coatis give differential responses to alarm calls depending on the age of the caller. A comparison of antipredator vigilance between coatis and sympatric capuchin monkeys is consistent with the hypothesis that terrestriality leads to higher perceive predation risk for coatis.     

Kriging插值法在植物物种地理分布空间格局研究中的应用

Kriging插值法是一种定量化描述地理空间分布格局的方法,主要应用于空间采样以及相关的一些空间格局分析。而物种的地理空间分布是物种在自然及人类活动共同作用下的结果。物种分布的研究目前主要从气候的角度来探讨其与气候之间的关系,并取得了很好的结果,但是仅从气候考虑又有局限性,而且很难真实地反映出物种地理空间的分布格局。因此,将Kriging插值法引进到物种分布的研究中,并以我国广泛分布的物种——栓皮栎为例,探讨其可行性。结果表明：Kriging插值法能很好地拟合物种地理空间分布的实际情况,其误差程度较小。该研究的结果可为物种资源的开发利用和物种的引种栽培提供理论依据。     

辽宁省农用地质量空间分布格局及影响因素研究

采用GIS技术、地统计学分析和景观生态学方法对辽宁省农用地质量的空间分布规律及其多样性、均匀度、集中度、优势度等进行研究,结果表明：辽宁省农用地质量的区域分异明显,等别表现出由辽西低山丘陵区和辽东山地丘陵区向中部平原区的递增规律。探讨农用地质量空间格局的影响因素,发现农用地自然质量空间分布格局主要受到地带性因素与大尺度的非地带性因素的控制,农用地利用质量和经济质量空间分布格局受到人类活动的影响显著。     

A phenomenological model without dispersal kernel to model species migration

Phenomenological approaches to model species migration are usually based on kernel-based methods. These methods require a good knowledge of the dispersal agent behaviour for a given species. They also calculate the location of individuals independently to each other (except the mother plant) and then suppress some of them according to additional interactions such as competition, facilitation and recruitment. In this paper, we propose to use a new phenomenological method, the Gibbs method, to model tree species migration at large scale. The Gibbs method handles the location of adult individuals in terms of pairwise interactions described by a potential function. This function summarizes the set of known and unknown factors determining the spatial distribution of the individuals (or cohorts). The principle of the Gibbs method is to minimize the sum of all pairwise interactions, also called the cost function, in order to optimize the spatial point pattern according to the chosen potential function.     

Reconciling empirical ecology with neutral community models

Neutral community models embody the idea that individuals are ecologically equivalent, having equal fitness over all environmental conditions, and describe how the spatial dynamics and speciation of such individuals can produce a wide range of patterns of distribution, diversity, and abundance. Neutral models have been controversial, provoking a rush of tests and comments. The debate has been spurred by the suggestion that we should test mechanisms. However, the mechanisms and the spatial scales of interest have never clearly been described, and consequently, the tests have often been only peripherally relevant. At least two mechanisms are present in spatially structured neutral models. Dispersal limitation causes clumping of a species, which increases the strength of intraspecific competition and reduces the strength of interspecific competition. This may prolong coexistence and enhance local and regional diversity. Speciation is present in some neutral models and gives a donor-controlled input of new species, many of which remain rare or are short lived, but which directly add to species diversity. Spatial scale is an important consideration in neutral models. Ecological equivalence and equal fitness have implicit spatial scales because dispersal limitation and its emergent effects operate at population levels, and populations and communities are defined at a chosen spatial scale in recent neutral models; equality is measured relative to a metacommunity, and this necessitates defining the spatial scale of that metacommunity. Furthermore, dispersal has its own scales. Thorough empirical tests of neutral models will require both tests of mechanisms and pattern-producing ability, and will involve coupling theoretical models and experiments.     

Olfactory discrimination of age-specific hydrocarbons generates behavioral segregation in a honeybee colony

The functioning of a honeybee colony relies on the coordination of colony activities via inter-individual interactions. While the structure of this interaction network keeps the young individuals relatively isolated from the rest of the colony, there are two possible mechanisms that can generate this organizational immunity. A spatial segregation that restricts the young bees to the center of the colony can shield them with equal effectiveness as a behavioral segregation in which old bees choose to interact with young bees less frequently. We test the role of these two mechanisms by determining the interaction frequency between different age groups and testing their correlation with the olfactory sensitivity of different age groups to the cuticular odor of each other. Young bees were found to interact with bees of all age groups with equal frequency, which correlates with their lack of olfactory bias for any specific age, while old bees interacted more with other old bees, which correlates with their higher olfactory sensitivity toward the cuticular odor of old bees. The distribution of olfactory responsiveness was found to be positively skewed for old bees, which provides a mechanistic basis for the heterogeneous connectivity of the interaction network observed in an earlier study. As old bees are more likely to be responsible for introducing a potential disease into the colony from the outside and spreading it via the interaction network, these results suggest that behavioral segregation, mediated by olfactory discrimination, plays an important role in generating the organizational immunity within the honeybee colony.