978 resultados para species sensitivity distribution


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Ongoing habitat loss and fragmentation threaten much of the biodiversity that we know today. As such, conservation efforts are required if we want to protect biodiversity. Conservation budgets are typically tight, making the cost-effective selection of protected areas difficult. Therefore, reserve design methods have been developed to identify sets of sites, that together represent the species of conservation interest in a cost-effective manner. To be able to select reserve networks, data on species distributions is needed. Such data is often incomplete, but species habitat distribution models (SHDMs) can be used to link the occurrence of the species at the surveyed sites to the environmental conditions at these locations (e.g. climatic, vegetation and soil conditions). The probability of the species occurring at unvisited location is next predicted by the model, based on the environmental conditions of those sites. The spatial configuration of reserve networks is important, because habitat loss around reserves can influence the persistence of species inside the network. Since species differ in their requirements for network configuration, the spatial cohesion of networks needs to be species-specific. A way to account for species-specific requirements is to use spatial variables in SHDMs. Spatial SHDMs allow the evaluation of the effect of reserve network configuration on the probability of occurrence of the species inside the network. Even though reserves are important for conservation, they are not the only option available to conservation planners. To enhance or maintain habitat quality, restoration or maintenance measures are sometimes required. As a result, the number of conservation options per site increases. Currently available reserve selection tools do however not offer the ability to handle multiple, alternative options per site. This thesis extends the existing methodology for reserve design, by offering methods to identify cost-effective conservation planning solutions when multiple, alternative conservation options are available per site. Although restoration and maintenance measures are beneficial to certain species, they can be harmful to other species with different requirements. This introduces trade-offs between species when identifying which conservation action is best applied to which site. The thesis describes how the strength of such trade-offs can be identified, which is useful for assessing consequences of conservation decisions regarding species priorities and budget. Furthermore, the results of the thesis indicate that spatial SHDMs can be successfully used to account for species-specific requirements for spatial cohesion - in the reserve selection (single-option) context as well as in the multi-option context. Accounting for the spatial requirements of multiple species and allowing for several conservation options is however complicated, due to trade-offs in species requirements. It is also shown that spatial SHDMs can be successfully used for gaining information on factors that drive a species spatial distribution. Such information is valuable to conservation planning, as better knowledge on species requirements facilitates the design of networks for species persistence. This methods and results described in this thesis aim to improve species probabilities of persistence, by taking better account of species habitat and spatial requirements. Many real-world conservation planning problems are characterised by a variety of conservation options related to protection, restoration and maintenance of habitat. Planning tools therefore need to be able to incorporate multiple conservation options per site, in order to continue the search for cost-effective conservation planning solutions. Simultaneously, the spatial requirements of species need to be considered. The methods described in this thesis offer a starting point for combining these two relevant aspects of conservation planning.

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A transient macroscopic model is developed for studying heat and mass transfer in a single-pass laser surface alloying process, with particular emphasis on non-equilibrium solidification considerations. The solution for species concentration distribution requires suitable treatment of non-equilibrium mass transfer conditions. In this context, microscopic features pertaining to non-equilibrium effects on account of solutal undercooling are incorporated through the formulation of a modified partition-coefficient. The effective partition-coefficient is numerically modeled by Means of a number of macroscopically observable parameters related to the solidifying domain. The numerical model is so developed that the modifications on account of non-equilibrium solidification considerations can be conveniently implemented in existing numerical codes based on equilibrium solidification considerations.

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A three- dimensional, transient model is developed for studying heat transfer, fluid flow, and mass transfer for the case of a single- pass laser surface alloying process. The coupled momentum, energy, and species conservation equations are solved using a finite volume procedure. Phase change processes are modeled using a fixed-grid enthalpy-porosity technique, which is capable of predicting the continuously evolving solid- liquid interface. The three- dimensional model is able to predict the species concentration distribution inside the molten pool during alloying, as well as in the entire cross section of the solidified alloy. The model is simulated for different values of various significant processing parameters such as laser power, scanning speed, and powder feedrate in order to assess their influences on geometry and dynamics of the pool, cooling rates, as well as species concentration distribution inside the substrate. Effects of incorporating property variations in the numerical model are also discussed.

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Culturally protected forest patches or sacred groves have been the integral part of many traditional societies. This age old tradition is a classic instance of community driven nature conservation sheltering native biodiversity and supporting various ecosystem functions particularly hydrology. The current work in Central Western Ghats of Karnataka, India, highlights that even small sacred groves amidst humanised landscapes serve as tiny islands of biodiversity, especially of rare and endemic species. Temporal analysis of landuse dynamics reveals the changing pattern of the studied landscape. There is fast reduction of forest cover (15.14-11.02 %) in last 20 years to meet up the demand of agricultural land and plantation programs. A thorough survey and assessment of woody endemic species distribution in the 25 km(2) study area documented presence of 19 endemic species. The distribution of these species is highly skewed towards the culturally protected patches in comparison to other land use elements. It is found that, among the 19 woody endemic species, those with greater ecological amplitude are widely distributed in the studied landscape in groves as well as other land use forms whereas, natural population of the sensitive endemics are very much restricted in the sacred grove fragments. The recent degradation in the sacred grove system is perhaps, due to weakening of traditional belief systems and associated laxity in grove protection leading to biotic disturbances. Revitalisation of traditional practices related to conservation of sacred groves can go a long way in strengthening natural ecological systems of fragile humid tropical landscape.

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Computer programs were developed to calculate the parameters commonly used in fisheries statistics: catch per unit effort, catch by species, size distribution, etc. These parameters were computed for collective fishing, purse seine and beach seine; important aspects of the artisanal fisheries in the Ebrié Lagoon.

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The fish habitats along an inshore water stretch along the eastern/central coast of Lake Tanganyika are discussed and a quantitative analysis of the species composition, distribution and abundance of the littoral fishes within the area of study is presented. Seventy-one species of fish belonging to 48 genera and to 15 fish families were collected and identified during the study. The majority of species belonged to the Cichlidae family. Intensive beach seining for clupeids is suggested as one of the causes of low fish biomass in the area surveyed. The areas south of Kigoma appeared to contain more fish, with average catch rates of 11.7 kg/haul than those north of Kigoma where average catch rates of 7.6 kg/haul were recorded. Some suggestions for improved management of these resources are given.

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Population assessments seldom incorporate habitat information or use previously observed distributions of fish density. Because habitat affects the spatial distribution of fish density and overall abundance, the use of habitat information and previous estimates of fish density can produce more precise and less biased population estimates. In this study, we describe how poststratification can be applied as an unbiased estimator to data sets that were collected under a probability sampling design, typical of many multispecies trawl surveys. With data from a multispecies survey of juvenile flatfish, we show how poststratification can be applied to a data set that was not collected under a probability sampling design, where both the precision and the bias are unknown. For each of four species, three estimates of total abundance were compared: 1) unstratified; 2) poststratified by habitat; and 3) poststratified by habitat and fish density (high fish density and low fish density) in nearby years. Poststratification by habitat gave more precise and (or) less design-biased estimates than an unstratified estimator for all species in all years. Poststratification by habitat and fish density produced the most precise and representative estimates when the sample size in the high fish-density and low fish-density strata were sufficient (in this study, n≥20 in the high fish-density stratum, n≥9 in the low fish-density stratum). Because of the complexities of statistically testing the annual stratified data, we compared three indices of abundance for determining statistically significant changes in annual abundance. Each of the indices closely approximated the annual differences of the poststratified estimates. Selection of the most appropriate index was dependent upon the species’ density distribution within habitat and the sample size in the different habitat areas. The methods used in this study are particularly useful for estimating individual species abundance from multispecies surveys and for retrospective st

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刺叶栎( Quercus ilex L.)是地中海的常绿树种,属于古老的第三纪植物区系成份。本文根据苏黎世——蒙特利尔学派的植被学基本原理,全面地研究了分布在整个威尼托(Veneto)大区的剌叶栎林,详细研究刺叶栎林的群落组成、结构及类型划分。同时,对威尼托的刺叶栎林同北京山区的栎林进行了比较研究。最后,着重研究了威尼托刺叶栎林的生物多样性。 威尼托的刺叶栎林主要分布在亚得里亚海沿岸(包括Foci del Tagtiamento和Bosco Nordio e Rosolina Mare两地)、Lago di Garda和Colli Euganei。 在气候上,亚得里亚海沿岸属于半地中海气候。加尔达湖区域(Laqo di Garda)则是接近欧洲中部的大陆性气候,且维持半地中海的气候特点。Co t l i Euganei是这两地气候的过渡类型,且更接近亚得里亚海沿岸的类型。 在亚得里亚海沿岸的刺叶栎林可以分为三类,第一类(I)是一些矮树丛,这是Fraxinus ornus和Quercus ilex混交林的前身,较干旱。第二类群落(II)缺少乔木层,灌木层是由一些盖度不大的刺叶栎代替,更干旱。第三类群落(Ⅲ)是一群在外貌上相同的成熟群落.Fraxinus ornus和Quercus ilex得到充分发展,较中生。 在加尔达湖区的刺叶栎林可划分为三类。第一类群落(I)代表一组耐旱、开敞的矮树丛,含有Sesterio Variae-Ostryelum群丛的特征种,这一类可划分为SesLerio Variae-Ostryetum群 丛,土壤贫脊和干旱。第二类群落(Ⅱ)代表一类较郁闭的矮树丛,含有较多的Prunetalia群落目的成份,土壤较贫脊。第三类群(Ⅲ)代表一类郁闭的群落,乔木具有很大的密度因而林下灌木不能充分发展。SesLerio Variae-Ostryetum群丛和Prunetalia群落目的成份均不多。 在Colli Euganei的刺叶栎林可划分为二类。第一类群落(I)是一些不郁闲的矮树林组成。大体上分为地中海旱生栎林和地中海假灌丛。第二类群落(II)代表了较中生状态的植被,刺叶标种群绝对郁闭。 北京地处华北大平原的西北部。北京山地的气候为温带陆地性季风气候,其地带性的落叶阔叶林是以栎林为典型。虽然这些栎林同意大利威尼托刺叶栎林是两种不同的森林类型,但两者之间是存在着一定的联系。其共有的科有20个,共有属有11个。他们在植物组成中,以禾本科,蔷薇科和豆科的植物种类为最多。在乔木层中,他们都是以壳斗科的栎属(Quercus)为优势,其中木犀科的白蜡属(Fraxinus)和槭树属(Acer)较多。 本文对威尼托大区刺叶栎林的物种多度分布格局进行了全面探讨,计算出刺叶栎林的几何分布模型、Broken-stick分布模型、Log分布模型、Log-normat分布模型等四种物种多度分布的理论模型,并将这些理论分布模型用“序列/多度”图解和“多度/频度”图解表示出来。其中,几何分布模型.Broken-stick1分布模型用“序列/多度”图解表示。Broken-stick2分布模型、Log分布模型、Log-normal分布模型用“多度/频度”图解表示。 对上述四个物种多度的理论分布同实际现察的物种多度分布进行X2分析,在5%的显著性水平上,对整个威托大区的刺叶 栎林,几何分布模型最能代表其物种多度分布,显著性最大;Log-normal分布模型也可以用来代表威尼托刺叶标妹的物种多度分布,其显著性次于几何分布模型的显著性。这表明威尼托的刺叶栎林尚处于演替的早期阶段,这些刺叶栎林曾受到严重破坏,现正在恢复。 通过比较Foci del Tagtiamento和Bosco Nordio加尔达湖区、Colli Euganei四个地方刺叶栎林的物种多度的几何分布模型和Log-normal分布模型,显示出Lago di Garda(加尔达湖区)的刺叶栎林生物多样性最好、Foci del Tagtiamento刺叶栎林生物多样性较好.Bosco Nordio的剌叶栎林生物多样性较差.Colli Euganei的刺叶栎林生物多样性最差。 再利用多样性指数计算全部威尼托大区剌叶栎林的生物多样性。计算的多样性指数有丰富度指数(包括Margalef指数、Men-hinick指数、Monk指数)、多样性指数(Shannon信息指数、Bri llouin个息指数、Gini指数、PIE指数、Mcintosh指数)、优势度指数(Berger-Parker指数、Simpson指数)、均一度指数(Pielou均一度指数、Brillouin均一度指数,PIE的V’均一度指数.PIE的V均一度指数,N2的V’均一度指数,N2的V均一度指数,Mclntosh均一度指数,Hill的F10均一度指数,Hill的E21均一度指数,Hill的F21的一度指数)。通过比较丰富度指数,多样性指数、均一度指数与优势度之间的关系,结果,Simpson优势度指数同Men-hinick物种丰富度指数、Shannon信息指数、Bril-louin信息指数、Pielou均一度指数,Brillouin均一度指数,Mcintosh均一度指数、PIE的V’均一度指数呈负相关关系,因此,上述生物多样性指数可以较好地反映威尼托大区刺叶栎林的生物多样性。反映出的结果是:加尔达湖区刺叶栎林生物多样性最好,Foci del Tagtiamento刺叶栎林生物多样性较好,Bosco Nordio的剌叶栎林生物多样性较差.Colli Euganei的刺叶栎林生物多样性最差。 生物多样性的研究显示出生物多样性同生境状况的密切联系。往往受人为干扰严重的群落生物多样性低、如Coli Euganei和亚得里亚海岸刺叶栋林;而受人为破坏较轻的群落其生物多样性高,如加尔达湖区刺叶栎。 生物多样性的研究还显示出生物多样性同群落演替的发展阶段密切相关,在群落演替初期,由于缺乏优势种,而又有大量物种侵入,物多样性相对较高。在群落演替中期,由于形成了一个或几个优势种,优势度的增加导致了生物多样性相对减低。如Foci del Tagtiamento刺叶栎林生物多样性高于Bosco Nordio刺叶栎林的生物多样性。到演替后期,随着更多物种的侵入,群落结构的复杂化、生物多样性又将逐步提高。

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  中国植被的1860个样方资料的统计结果表明,克隆植物存在于不同类型的生态系统中,并在大部分生态系统中占有重要地位。同非克隆植物相比,克隆植物大多具有更强的适应环境压力的能力。在高纬度、高海拔地区,克隆植物的丰富度较高。在寒冷、低氮含量、养分贫瘠的生境中出现频率较高。在高山草甸、冻原、高山裸岩和砾石稀疏植被带等胁迫生境中克隆植物占的比例较高。克隆植物中,具有不同克隆生长器官的植物在不同生境中出现频率不同。根起源克隆植物在低纬度、低海拔,以及较温暖、湿润的生境中丰富度较高,相反,茎起源克隆植物在高纬度、高海拔,较寒冷、干旱的生境中丰富度较高。根起源克隆植物中,根出条型植物的生境条件和根起源克隆植物的相同,出现在灌丛、阔叶林和竹林中的频率较高;茎起源克隆植物中,根茎型植物的生境条件和茎起源植物的相同,出现在水生植被、草甸和草原中的频率较高,而匍匐茎型植物在较温暖、湿润、阴蔽的生境中出现频率较高。不同克隆生长构型的植物对生境的适应性不同。密集型克隆植物在高纬度、高海拔,寒冷、养分贫瘠生境中较丰富,如高山灌丛、草原,荒漠草原;同密集型克隆植物相比,游击型克隆植物在低纬度、低海拔,相对温暖、湿润的生境中丰富度较高,如水生植被、草甸。   在低植物密度生境中,物种多样性随密集型和游击型克隆植物相对重要值的增加而增加。在高植物密度生境中,高度密集的密集型克隆分株,阻止其它物种的定居,容易形成局部垄断的格局,从而降低群落物种多样性。当游击型克隆植物进入高密度生境中时,它会借助于其分散分株的空间扩展优势迅速在生境中取得优势地位,排斥其它物种,导致物种多样性的降低。群落中克隆性与多样性的关系同植物的克隆生长构型和克隆植物种群内部的调节机制,以及植物的生境状况有关系。在低密度生境中,物种多样性随克隆植物重要性的增加而增加,在高密度生境中,物种多样性随克隆植物重要性的增加而降低。克隆性与多样性的关系还需要通过生态学实验深入研究。

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  作为西部大开发的关键地区,西北干旱区由于地理位置和环境条件的独特性、生态系统的脆弱性以及人类活动的长期干扰,对其周边乃至全国的生态环境有较大的影响,在这一地区研究植物种分布与气候的关系,并模拟预测其可能的潜在分布范围,具有理论上和实践上的重要意义。   通过广泛收集了西北干旱区优势种和常见种的地理分布资料,共选择128个植物种,利用Holdridge的生命地带分类系统,计算各植物种的生物温度(BT)、可能蒸散(PE)、降水量(P)及可能蒸散率(PER),分析植物种与气候的相互关系,并将所有植物种进行经验归纳分类。随后,对这砦植物种及其气候信息进行TWINSPAN定量分类,并与经验分类结果相比较,得出西北干旱区128种植物的生态气候分类,分属于以下几大类型:高寒草甸、森林一草原过渡带、草原(典型草原、荒漠草原)、荒漠(草原化荒漠、荒漠、高寒荒漠)。具体来说,包括以下17个生态气候类型: 1)高寒草甸:异针茅。 2)森林一草原过渡带:牛尾蒿、鬼箭锦鸡儿、沙棘。 3)草原a:沙蒿。 4)草原b:长芒草、百里香(变种)、多叶隐子草、贝加尔针茅、大针茅。 5)草原c:羊茅、小叶锦鸡儿、荒漠锦鸡儿、线叶菊、华北岩黄芪、廿青针茅、碱蒿、内蒙古沙蒿、裂叶蒿、狭叶锦鸡儿、山竹岩黄芪、女蒿、小蓬、两伯利亚杏、沙地柏、角果碱篷、霸王、糙隐子草。 6)草原d:紫狐茅、紫花针茅。 7)草原一荒漠草原a:包括沙竹、琵琶柴、吉尔吉斯针茅。 8)草原一荒漠草原b:华北米蒿、差巴嘎蒿、星星草、长芒针茅、铁竿蒿、柠条锦鸡儿。 9)荒漠草原:沙生冰草、蒙古冰草、羊草、冷蒿、中亚紫菀木、刺旋花、老瓜头、木贼麻黄、西伯利亚白刺、唐古特白刺、戈壁针茅、石生针茅、盐地碱蓬、冰草、蓍状亚菊、油蒿、木蓼、刺针枝蓼、长枝木蓼、中间锦鸡儿、尖叶盐爪爪、黄花琵琶柴、松叶猪毛菜、珍珠猪毛菜、东方针茅、囊果碱蓬、四合木、白滨藜、短脚锦鸡儿。 10)草原化荒漠,荒漠a:川青锦鸡儿、优若藜、苦艾蒿、无芒隐子草、沙冬青、籽蒿、地白蒿、菭草、齿叶白刺、绵刺、盐角草、多枝柽柳、盐生假木贼。 11)草原化荒漠.荒漠b:蒿叶猪毛菜、短花针茅、芨芨草、灌木亚菊、博乐蒿、小蒿、喀什蒿、南山短花菊、盐爪爪、木本猪毛菜、针茅、细枝盐爪爪。 12)草原化荒漠.荒漠c:白梭梭、白羊草、无叶假木贼。 13)干旱荒漠a:戈壁短花菊、荒漠细柄茅、刺蓬、沙生针茅、多花柽柳、细枝柽柳。 14)干旱荒漠b:梭梭柴、铃铛刺、天山猪毛菜、帕米尔麻黄、座花针茅、旱蒿、克氏狐茅、短叶假木贼、准格尔沙蒿、长穗柽柳、刚毛柽柳。 15)高寒荒漠植被:匍生优若藜。 16)干旱荒漠c:粉花蒿、白杆沙拐枣、膜果麻黄、花花柴、灌木紫菀木、裸果木、合头草、塔里木沙拐枣。 17)超干旱荒漠植被:沙拐枣、胡杨、盐穗木、灰杨、盐节木、圆叶盐爪爪。   综合分类结果表明:多数植物种的生态气候类型与实际生境相符,但也有少数植物种有明显偏差,主要原因有三点:首先,某些种的分布范围超出了西北干旱区,在东北、华北、甚至全国范围内分布,所计算的植物种的气候范围本身存在局限性;其次,西北干旱区的研究资料如植物种的分布范围、分布点的气象资料等有许多缺失:最后,由于文献中对某些植物种分布范围的描述比较笼统,无法确定其精确的地理分布界限,使得植物种所对应的分类结果与其真正所属的植 被类型有一些偏差。   本文还进一步在这128种植物中选取了10种分布明确、资料齐备的代表性植被类型的优势种,根据它们的降水和生物温度指标,模拟预测了它们的可能潜在分布区,包括其主要中心分布区和最大可能分布区,并与实际分布范围进行比较。结果表明.其潜在分布区的分布范围与实际调查所得资料所处范围基本一致,特别是中心分布区的预测图,而最大可能分布区与实际有一定误差。

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研究植被、物种分布与环境的关系一直是生态学中的重点。长期以来,在全球变化与陆地生态系统的研究中,主要研究重点是对大尺度植被分布的模拟和预测,并建立了大量的气候-植被分布关系模型。而对于物种潜在分布的模拟和预测,国内外相关的研究较少。近年来,随着统计技术和地理信息系统的发展,用于预测物种分布的统计模型技术得到了迅速的发展。统计模型技术已被广泛应用于生物地理分布、植物群落、生物多样性、气候变化影响评估等方面。 本论文基于当前在物种分布研究中应用广泛的广义线性模型、广义加法模型及分类回归树3种统计模型技术,对我国常见树种的地理分布进行模拟分析,并比较不同模型模拟精度的优劣,将模拟精度较高的模型应用于预测未来气候情景下我国几种主要树种的未来潜在地理分布。 基于建立的广义线性模型(GLM)、二次项逐步回归广义线性模型(SGLM)、广义加法模型(GAM)和分类回归树(CART)4个模型对我国20种常见树种地理分布进行模拟,结果表明,4个模型均有较高的模拟精度。GAM的模拟精度最高;添加二次项并进行逐步回归有效的提高了GLM的模拟精度;CART是一种基于规则的模型技术,模拟结果比GLM稍好,比GAM略差。 对不同树种的模拟分析表明,4个模型对于主要分布在暖温带落叶阔叶林区域的油松、辽东栎分布的模拟结果较差;GLM对分布在温带针阔混交林中红松、蒙古栎、胡桃楸和糠椴的模拟结果不太理想;4个模型对分布在中国亚热带常绿阔叶林区域的树种均表现出较高的模拟精度;对广布种也表现出很高的模拟精度。 结合地理信息系统,以地图形式将青冈、油松的模拟结果表示出来。结果表明:地理信息系统直观的反映出了模型模拟结果差异。4个模型均能很好模拟青冈的分布,且模拟结果接近;而对油松分布模拟结果4个模型均不甚理想,以GLM最差。这些结果与模型模拟评估结果相吻合。 在未来气候变化情景下,基于4个模型模拟结果优劣,以我国三种主要造林树种马尾松、油松、红松和两种常见树种青冈、蒙古栎为研究对象,分析其未来变化趋势。结果表明,未来气候变化情景下,对于马尾松而言,4个模型均预测马尾松在基本保持原有分布的基础上,其未来潜在分布区域均有所扩大,且有向西和向北扩展的趋势;对于油松而言,基于GLM、SGLM和GAM3个模型,油松的未来潜在分布除有北移的趋势外,其分布区还将向东北和西南两个方向扩展;对于红松而言,基于SGLM、GAM和CART3个模型的预测结果较为接近,即红松的未来潜在分布区域将有所减少;对蒙古栎而言,4个模型预测蒙古栎未来分布均将向西扩展;对青冈而言,4个模型预测青冈能基本保持其原有分布区,并向西和向北扩展,其中CART预测结果还表明,青冈在广东南部及广西南部的分布区域将消失。

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杜鹃属(Rhododendron L.)是中国种子植物中最大的属,其现代分布和分化中心是我国西南部的横断山区和东喜马拉雅地区。我国西部、西南部的云南、四川、西藏等地共有杜鹃达450种,仅特有种就有约300种。对杜鹃属分布的深入研究是横断山区生物多样性保护不可缺少的重要部分。 由于物种分布与环境因子之间存在着紧密的联系,利用环境因子作为预测物种分布模型的变量是当前最普遍的建模思路。但是绝大多数物种分布预测模型都遇到了难以解决的“高维小样本”问题――模型在标本数据不足时无法给出合理的预测,或者模型无法处理大量的环境变量。机器学习领域的理论和实践已经证明,基于结构风险最小化原理的支持向量机(Support Vector Machine, SVM)算法非常适合“高维小样本”的分类问题。为了探索其应用在物种分布预测问题上的可能性,本文创新性的实现了基于SVM算法的物种分布预测系统。然后,本文以30个杜鹃属(Rhododendron L.)物种为检验对象,利用其标本数据和11个1km的栅格环境变量图层作为模型变量,预测其在中国的潜在分布区。本文通过全面的模型评估——专家评估,ROC (Receiver Operator Characteristic)曲线和曲线下方面积AUC (Area Under the Curve)——来比较模型的性能。试验结果表明,我们所实现的以SVM为核心的物种分布预测系统无论在计算速度还是预测效果上都远远优于当前广泛使用的GARP (Genetic Algorithm for Rule-Set Prediction)预测系统。 之后,本文进一步探讨了SVM预测系统预测效果与环境变量维数和标本点个数的关系。试验结果表明,对于只有少量标本点的物种SVM的预测结果仍然具有相当的合理性。由此可见, SVM预测系统很好的解决了以前众多模型无法克服的稀有种和标本点稀少的物种的潜在分布区模拟问题。同时本文发现大的环境维数(高维)对于物种潜在分布区的预测有着决定性的作用,因此模型处理高维问题的能力显得至关重要。 最后,我们使用中国所有可获取的杜鹃属标本数据,以及83个1km的栅格环境变量图层,对400种杜鹃属物种的潜在分布区进行预测。根据预测出来的物种潜在分布区,我们得到了中国杜鹃属物种潜在多样性分布格局,特有物种潜在多样性分布格局,濒危杜物种潜在的分布格局,各亚属物种潜在分布格局,以及不同生活型物种潜在多样性分布格局。这些分布区图不仅可以对杜鹃属起源研究提供分析验证的条件,还能为其引种、保护和新种的搜寻提供有利的空间依据。

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在我国,小叶锦鸡儿(Caragana microphylla)、中间锦鸡儿(Caragana intermedia)、柠条锦鸡儿(Caragana korshinskii)、藏锦鸡儿(Caragana tibetica)和狭叶锦鸡儿(Caragana stenophylla)主要分布于北方温带地区,是造林、固沙、饲用及观赏的重要灌木,而贝加尔针茅(Stipa baicalensisi)、大针茅(Stipa grandis)、克氏针茅(Stipa krylovii)、本氏针茅(Stipa bungeana)、短花针茅(Stipa breviflora)、沙生针茅(Stipa glareosa)和戈壁针茅(Stipa gobica)是我国北方温带地区具有重要饲用价值和水土保持功效的多年生密丛禾草。这5种锦鸡儿灌木和7种针茅草本植物在东北、华北和西北地区的生态环境建设及社会经济发展中发挥特殊作用。关于它们地理分布与气候关系的深入研究十分必要,可以为其种质资源的开发和改善生态环境提供理论依据。 本研究首先全面收集这12个物种在中国北方温带干旱-半干旱地区的全部地理分布资料,利用ArcGIS 9.0软件绘制现状分布图。通过分析其现实分布格局,发现小叶锦鸡儿、中间锦鸡儿和柠条锦鸡儿在空间上呈现出从东到西的地理替代分布格局,继续向西南方向则分布有藏锦鸡儿,向西北方向分布有狭叶锦鸡儿。贝加尔针茅、大针茅、克氏针茅和戈壁针茅也在空间上呈现出自东向西的地理替代分布格局,克氏针茅向南被本氏针茅替代,短花针茅和沙生针茅没有明显的地理替代分布现象。5种锦鸡儿和7种针茅的分布范围分别又都有一定的重叠。 整理12个物种分布区内的气象台站长期记录,选择计算16个具有重要生物学意义的水热指标值;进而用方差分析、多重比较和因子分析相结合的方法,研究控制这5种锦鸡儿和7种针茅地理分布的主导驱动因子。结果表明:控制小叶锦鸡儿和中间锦鸡儿间地理分布差异的主导因子是水分因子,特别是湿度;水分因子同样是控制中间锦鸡儿和柠条锦鸡儿间地理分布差异的主导因子,特别是生长季及年降水量;控制柠条锦鸡儿和藏锦鸡儿间地理分布差异的主导因子是夏季高温,控制柠条锦鸡儿和狭叶锦鸡儿地理分布差异的是冬季低温。控制贝加尔针茅、大针茅、克氏针茅和戈壁针茅间替代分布的主导气候因子是年降水量和生长季降水量。控制克氏针茅和本氏针茅间替代分布的主导气候因子是温暖指数。 运用耦合BIOCLIM模型的软件包“DIVA-GIS”模拟预测这5种锦鸡儿和7种针茅的现状潜在分布区及未来气候变化的影响。结果表明:现状潜在分布区与实际分布区均有很好的一致性;在CO2浓度加倍的未来气候情景下,这些植物都会向北大幅度迁移,在我国的分布范围均缩小,分布格局发生显著变化。用ROC曲线和Kappa统计值法验证模型表明,BIOCLIM的模拟精度较高。利用BIOCLIM模型绘制了这12个物种的生物气候分室图,并根据生物气候分室确定了物种的最适气候范围。 为了研究锦鸡儿和针茅分布对气候变化的敏感性,本文在现实气象数据的基础上模拟预测了不同降水与温度变化情景下(保持年降水量不变,年均温分别增加1℃、2℃、3℃和4℃;保持年均温不变,年降水量分别增加和减少10%)的物种分布范围,发现随着气温升高和降水量增加,全部锦鸡儿和针茅都会向高纬度地区缓慢迁移,而当降水量减少时,它们将向低纬度地区迁移。不同气候情景下的物种分布范围迁移幅度表明,5种锦鸡儿中狭叶锦鸡儿和中间锦鸡儿的脆弱性相对较大,7种针茅中克氏针茅和贝加尔针茅的脆弱性相对较大。气温的单独变化控制这些物种分布区的未来迁移。 最后,本文探索了锦鸡儿和针茅的气候变化影响的阈值。就核心分布区而言,小叶锦鸡儿、贝加尔针茅、大针茅、沙生针茅的气候变化影响阈值是气温升高4℃,降水减少10%;中间锦鸡儿和狭叶锦鸡儿是气温升高4℃,降水增加10%;柠条锦鸡儿和本氏针茅是气温升高4℃,降水不变;藏锦鸡儿是气温升高2℃,降水增加10%;克氏针茅和短花针茅是气温升高3℃,降水不变;戈壁针茅是气温升高1℃,降水不变。

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2005年9月利用铗日法辅以陷阱法对位于秦岭山脉南坡东段的平河梁自然保护区及牛背梁自然保护区小型兽类进行了调查,共设置采集点10个;2 460铗日中共捕获小型兽类689只,隶属于3目6科19属27种(另有两种鼢鼠和一种鼯鼠系其他手段捕获),平均捕获率28.01%.对捕获的27种小型兽类生态和垂直分布进行分析结果表明:平河梁保护区3个群落的Shannon-Weiner多样性指数在2.9288-3.3639之间,Pielou均匀性指数在0.7669-0.8602之间.在上述调查的基础上,结合前人对邻近地区的调查,据一些物种的分布特点,订出平河梁自然保护区小型兽类的名录,计48种,结果显示秦岭南坡东段小型兽类的物种多样性和丰富度要高于秦岭其他地区.另在考察中采集到白尾鼹(Parascaptor leucura)、小纹背鼩鼱(Sorex bedfordiae)、斯氏鼢鼠(Myospalax smithⅡ)、川西白腹鼠(Niviventer excelsior),在秦岭山区尚属首次记录.还整理了秦岭南坡小型兽类名录,认为秦岭南坡有小型兽类55种,在动物地理区划上应属于西南区.

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Schizopygopsis younghusbandi younghusbandi is an endemic species whose distribution is restricted to the middle reaches of the Yarlung Zangbo River, being one of the most important commercial fishes in this area. Age and growth of 606 specimens captured between October 2002 and April 2005 were studied. The range in standard length (L) was 65.7-387.3 mm and total weight (W) was 3.3-772.0 g. The relationship between L and W was W=0.000909L(2.2493) for males and W=0.000259L(2.4781) for females. Age, determined from anal scales and lapillus otoliths, ranged from 3 to 18 years. The parameters of von Bertalanffy growth functions, estimated by back-calculated length, were L-infinity = 442.7mm L, k=0.0738 year(-1) and t(0)=-1.4 year for males, and L-infinity = 471.4mm L, k=0.0789 year(-1) and t(0)=0.2 year for females. Males and females exhibited statistically significant differences in growth. chi(2)-test indicated that von Bertalanffy growth functions could well describe the growth of S. y. younghusbandi. The longevities were 39.2 and 38.2 years for males and females, respectively. Growth inflexion points were 10.2 and 12.0 years for males and females, respectively, but 84.8% of the captures were at the smaller ages. So conservation and management schemes for this population should be considered urgently. In addition, we found that populations from the upstream of the Lhasa River, the downstream of the Lhasa River and the middle reaches of the Yarlung Zangbo River showed statistically significant differences in growth patterns.