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1.
谭谋  汪洋 《生物安全学报》2021,30(2):137-142
【目的】栎方翅网蝽是栎树上的一种重要害虫,自21世纪入侵意大利以来,迅速在欧洲地区暴发成灾。本文旨在探明栎方翅网蝽入侵中国的风险性。【方法】利用MaxEnt生态位模型预测栎方翅网蝽在中国的潜在适生区,分析栎方翅网蝽入侵、定殖和扩散的可能性。【结果】栎方翅网蝽入侵中国并在中国黄河长江中下游平原定殖和扩散的风险性极高,高度适生区包括重庆市、安徽省、湖北省、河南省、浙江省、湖南省、贵州省和四川省。通过分析环境因子重要性表明,最冷季度平均温度是影响栎方翅网蝽适应区的最关键环境变量;年平均温度、等温性和最干季度平均温度是影响栎方翅网蝽适应区分布的主要环境因素。【结论】栎方翅网蝽在我国定殖扩散风险高,建议植物检疫部门加强栎方翅网蝽的监控,并将栎方翅网蝽列入中华人民共和国进境植物检疫性有害生物名录。  相似文献   

2.
Maxent模型复杂度对物种潜在分布区预测的影响   总被引:4,自引:0,他引:4  
生态位模型在入侵生物学和保护生物学中具有广泛的应用,其中Maxent模型最为流行,被越来越多地应用在预测物种的现实分布和潜在分布的研究中。在Maxent模型中,多数研究者采用默认参数来构建模型,这些默认参数源自早期对266个物种的测试,以预测物种的现实分布为目的。近期研究发现,Maxent模型采用复杂机械学习算法,对采样偏差敏感,易产生过度拟合,模型转移能力仅在低阈值情况下较好。基于默认参数的Maxent模型不仅预测结果不可靠,而且有时很难解释。在本研究中,作者以入侵害虫茶翅蝽(Halyomorpha halys)为例,采用经典模型构建方案(即构建本土模型然后将其转移至入侵地来评估),利用ENMeval数据包来调整本土Maxent模型调控倍频和特征组合参数,分析各种参数条件下模型的复杂度,然后选取最低复杂度的模型参数(即为最优模型),综合比较默认参数和调整参数后Maxent模型的响应曲线和预测结果,探讨Maxent模型复杂度对预测结果的影响及Maxent模型构建时所需注意事项,以期对物种潜在分布进行合理的预测,促进Maxent模型在我国的合理运用和发展。作者认为,环境变量的选择至关重要,需要综合分析其对所模拟物种分布的限制作用和环境变量之间的空间相关性。构建Maxent模型前需对物种分布采样偏差及模型的构建区域进行合理地判断,模型构建时需要比较不同参数下模型的预测结果和响应曲线,选取复杂度较低的模型参数来最终建模。在茶翅蝽的分析中,Maxent模型的默认参数和最优模型参数不同,与Maxent模型默认参数相比,采用调整参数后所构建的模型预测效果较好,响应曲线较为平滑,模型转移能力较高,能够较为合理反映物种对环境因子的响应和准确地模拟该物种的潜在分布。  相似文献   

3.
提高生态位模型转移能力来模拟入侵物种的潜在分布   总被引:5,自引:0,他引:5  
生态位模型利用物种分布点所关联的环境变量去推算物种的生态需求,模拟物种的分布。在模拟入侵物种分布时,经典生态位模型包括模型构建于物种本土分布地,然后将其转移并投射至另一地理区域,来模拟入侵物种的潜在分布。然而在模型运用时,出现了模型的转移能力较低、模拟的结果与物种的实际分布不相符的情况,由此得出了生态位漂移等不恰当的结论。提高生态位模型的转移能力,可以准确地模拟入侵物种的潜在分布,为入侵种的风险评估提供参考。作者以入侵种茶翅蝽(Halyomorpha halys)和互花米草(Spartina alterniflora)为例,从模型的构建材料(即物种分布点和环境变量)入手,全面阐述提高模型转移能力的策略。在构建模型之前,需要充分了解入侵物种的生物学特性、种群平衡状态、本土地理分布范围及物种的生物历史地理等方面的知识。在模型构建环节上,物种分布点不仅要充分覆盖物种的地理分布和生态空间的范围,同时要降低物种采样点偏差;环境变量的选择要充分考虑其对物种分布的限制作用、各环境变量之间的空间相关性,以及不同地理种群间生态空间是否一致,同时要降低环境变量的空间维度;模型构建区域要真实地反映物种的地理分布范围,并考虑种群的平衡状态。作者认为,在生态位保守的前提下,如果模型是构建在一个合理方案的基础上,生态位模型的转移能力是可以保证的,在以模型转移能力较低的现象来阐述生态位分化时需要引起注意。  相似文献   

4.
悬铃木方翅网蝽与红带网纹蓟马的竞争关系研究   总被引:1,自引:0,他引:1       下载免费PDF全文
【背景】悬铃木方翅网蝽是仅危害悬铃木的外来入侵物种,而红带网纹蓟马寄主广泛,可吸食悬铃木叶片汁液,2个物种客观上发生了竞争关系。【方法】以悬铃木方翅网蝽与红带网纹蓟马共同发生的悬铃木种植街区为研究地点,每10d调查15根悬铃木枝条,记录各枝条各叶片上2个物种的数量,进而评价悬铃木方翅网蝽入侵对红带网纹蓟马的竞争排斥能力。【结果】悬铃木方翅网蝽在整个调查期间的种群数量明显高于红带网纹蓟马;悬铃木方翅网蝽在悬铃木上的时间生态位宽度和重叠指数均大于红带网纹蓟马,两者的时间生态位竞争系数达0.7022,明显高于对悬铃木枝条和叶片的竞争强度;悬铃木方翅网蝽和红带网纹蓟马对悬铃木枝条和叶片的竞争强度较低,且具有阶段性,空间竞争主要发生在6月中旬至7月下旬的2个种群发生高峰期;悬铃木方翅网蝽与红带网纹蓟马在悬铃木上的繁殖生态位出现了明显的时间分化,红带网纹蓟马仅秋季世代产卵于悬铃木叶片上,而悬铃木方翅网蝽所有世代均产卵于悬铃木叶上,但2个物种在悬铃木上共同繁殖期间,红带网纹蓟马选择产卵的枝条和叶片均有悬铃木方翅网蝽产卵,表明2个物种对产卵枝条和叶片具有相似的空间需求。【结论与意义】悬铃木方翅网蝽与红带网纹蓟马在悬铃木上整体的时空生态位竞争强度较弱,且2个物种的营养生态位差异较大;悬铃木方翅网蝽的入侵对红带网纹蓟马的生存和种群发展无明显影响。  相似文献   

5.
【目的】生态位模型在生物地理学、入侵生物学和保护生物学中具有广泛的应用,被越来越多地用于预测物种潜在分布和现实分布的研究中。本文以美国白蛾为例介绍pROC方案在生态位模型评价中的应用及其注意事项,以期对物种潜在分布预测进行合理的评价,促进生态位模型在我国的合理运用和发展。【方法】介绍ROC曲线和AUC值基本原理,总结其在生态位模型评价中的应用,从物种存在分布点和不存在分布点的可信度出发,分析AUC值用于模型评价的优点和不足,最后介绍局部受试者工作特征曲线的线下面积方案(pROC方案)来弥补传统AUC值的不足。【结果】AUC值虽独立于阈值,但因其综合灵敏度和特异度,而屏蔽这2个指标各自的特征,不能分别评估预测结果的灵敏度和特异度,同时对遗漏率和记账错率不能进行权衡,会误导使用者对模型的评价。与AUC值相比,ROC曲线的形状更具有价值,蕴含丰富的模型评价信息。【结论】模型评价需要将灵敏度和特异度区别对待,ROC曲线形状比AUC值在生态位模型评价中更为重要,pROC方案相对于传统AUC值具有优势,但容易对过度模拟做出不当判断。模型评价与作者研究目的密切相关:当以预测物种潜在分布为目的时(如入侵物种潜在分布、气候变化对物种分布的影响和谱系生物地理学),模型评价应当给予灵敏度(或者遗漏率)更多的权重;当以预测物种现实分布为目的时(如保护区界定和濒危物种引入),模型评价应当给予灵敏度和特异度同等的权重。  相似文献   

6.
运用生态位模型MaxEnt和GARP对悬铃木方翅网蝽Corythucha ciliate(Say)在我国的潜在分布进行了模拟,并结合其寄主植物悬铃木在我国的分布进行了分析。实验采用悬铃木方翅网蝽在我国的分布数据,结合6种气候变量和海拔数据构建模型,并将MaxEnt和GARP的输出结果进行合意。研究显示MaxEnt和GARP的模拟结果基本一致,均能较好的模拟悬铃木方翅网蝽在我国的分布,二者均显示山东西南部和中部、四川中部和东部、重庆、陕西中部、河南中部和东部、安徽、江苏、上海、贵州、湖南、江西、浙江、福建中部和北部、云南中部等地区为悬铃木方翅网蝽的适宜分布区,此外,河北中部和南部、山东东部,广东和广西的北部亦具潜在分布的可能性。与MaxEnt输出结果相比,GARP相对较为保守。MaxEnt输出结果显示年平均气温和极端低温对悬铃木方翅网蝽地理分布的限制作用最大。考虑到该虫对高低温度的耐受性,我国二球悬铃木栽培的南界(南宁和广州)和北界(大连、北京、石家庄、太原)需要重视和监控起来。  相似文献   

7.
生态位模型的基本原理及其在生物多样性保护中的应用   总被引:14,自引:0,他引:14  
生态位模型是利用物种已知的分布数据和相关环境变量,根据一定的算法来推算物种的生态需求,然后将运算结果投射至不同的空间和时间中来预测物种的实际分布和潜在分布.近年来,该类模型被越来越多地应用在入侵生物学、保护生物学、全球气候变化对物种分布影响以及传染病空间传播的研究中.然而,由于生态位模型的理论基础未被深入理解,导致得出入侵物种生态位迁移等不符合实际的结论.作者从生态位与物种分布的关系、生态位模型构建的基本原理以及生态位模型和生态位的关系等方面探讨了生态位模型的理论基础.非生物的气候因素、物种间的相互作用和物种的迁移能力是影响物种分布的3个主要因素,它们在不同的空间尺度下作用于物种的分布.生态位模型是利用物种分布点所关联的环境变量来模拟物种的分布,这些分布点本身关联着该物种和其他物种间的相互作用,因此生态位模型所模拟的是现实生态位(realized niche)或潜在生态位(potential niche),而不是基础生态位(fundamental niche).Grinnell生态位和Elton生态位均在生态位模型中得到反映,这取决于环境变量类型的选择、所采用环境变量的分辨率以及物种自身的迁移能力.生态位模型在生物多样性保护中的应用主要包括物种的生态需求分析、未知物种或种群的探索和发现、自然保护区的选择和设计、物种入侵风险评价、气候变化对物种分布的影响、近缘物种生态位保守性及基于生态位分化的物种界定等方面.  相似文献   

8.
孙雪婷 《昆虫学报》2023,(3):369-380
【目的】黑色枝小蠹Xylosandrus compactus是一种重要的钻蛀性害虫,原分布于东南亚,其在全球范围内的扩散蔓延已造成入侵地多种寄主植物受害,导致巨大经济与生态损失。本研究旨在明确该害虫在全球的潜在适生区分布与变化,为其监测、早期预警与防治策略制定提供依据。【方法】利用ArcGIS设置缓冲区筛选黑色枝小蠹分布点数据,结合R计算所得的调控倍频(regularization multiplier)和特征组合对最大熵模型(maximum entropy model, MaxEnt)参数重置;通过刀切法和变量相关性分析对多种环境变量进行筛选;基于关键环境变量重建MaxEnt模型,结合当前气候数据和第六次国际耦合模式比较计划(Coupled Model Intercomparison Project Phase 6, CMIP6)中的4种强迫情境,对黑色枝小蠹全球潜在适生区的分布进行预测。【结果】经筛选,用170个黑色枝小蠹分布点数据构建MaxEnt模型;发现温差月均值、最冷月最低温、最暖季度平均温度、年降水量、降水量季节性变异系数、最湿季度降水量及最干季度降水量为影响该物种分布的7...  相似文献   

9.
作为全球性入侵昆虫,扶桑绵粉蚧被列为农业和林业检疫性有害生物,严重威胁着我国生物安全。生态位保守性是物种分布模型的关键假设,明确利用生态位模型评估扶桑绵粉蚧入侵风险的适用性,并进一步优化模型复杂度,兼具理论和实践意义。基于706个分布点和关键生物气候变量,本研究首次利用n维超体积生态位分析方法,量化扶桑绵粉蚧在原产地和入侵地的超体积气候生态位,检验其生态位保守性,并优化MaxEnt模型参数,预测扶桑绵粉蚧在我国当前和未来气候变化下的入侵风险。结果表明:年均温、最湿季均温、最暖季均温和最干季降水量是影响扶桑绵粉蚧分布的关键气候因子。与原产地气候生态位(超体积空间大小为40.43)相比,扶桑绵粉蚧在入侵地的生态位明显减小(超体积空间大小为6.04),生态位收缩(空间净差异为0.84)解释了98.8%的生态位差异,而生态位漂移(空间置换值为0.01)贡献不足2%,在不同入侵区域扶桑绵粉蚧气候生态位收缩方向并不完全一致。MaxEnt模型默认参数并不可靠(ΔAICc=14.27),最优参数组合中特征组合为线性-二次型-片段化-乘积型,调控倍频为0.5。扶桑绵粉蚧的核心适生区主要集中在秦岭淮河一线...  相似文献   

10.
【目的】为了预测和分析稻飞虱的两种重要捕食性天敌中华淡翅盲蝽Tytthus chinensis和黑肩绿盲蝽Cyrtorhinus lividipennis的潜在分布区,研究气候环境因素对其潜在分布的影响。【方法】Max Ent是以最大熵理论为基础的预测物种地理分布的模型,本文运用Max Ent模型,根据这两种盲蝽的已知分布区及其气候环境影响因素,推测这两种盲蝽的适生性分布及气候环境因素的影响。【结果】中华淡翅盲蝽主要适宜分布区域为中国秦岭-淮河以南地区、东北亚的朝鲜半岛和日本、东南亚以及菲律宾和印度尼西亚群岛部分地区,即东洋区和大洋区北部群岛;黑肩绿盲蝽适宜分布区比中华淡翅盲蝽更广,可达山东、河北以南,陕西、云南、贵州以东的中国大部地区,海外除中华淡翅盲蝽分布区外,也可分布于南美亚马逊雨林地区。研究还发现,最热季度降雨量、平均日温差对中华淡翅盲蝽、黑肩绿盲蝽适宜性分布有重要影响;夏季降雨量大于500 mm、平均日温差低于10℃,有利于这两种盲蝽的分布。【结论】两种捕食性盲蝽适宜生境主要受最热季度降雨量、平均日温差影响。本研究为发挥这两种捕食性盲蝽在害虫生物防治中的作用提供了重要依据。  相似文献   

11.
Robust methods by which to generate virtual species are needed urgently in the emerging field of distributional ecology to evaluate performance of techniques for modeling ecological niches and species distributions and to generate new questions in biogeography. Virtual species provide the opportunity to test hypotheses and methods based on known and unbiased distributions. We present Niche Analyst (NicheA), a toolkit developed to generate virtual species following the Hutchinsonian approach of an n‐multidimensional space occupied by the species. Ecological niche models are generated, analyzed, and visualized in an environmental space, and then projected to the geographic space in the form of continuous or binary species distribution models. NicheA is implemented in a stable and user‐friendly Java platform. The software, online manual, and user support are freely available at < http://nichea.sourceforge.net >.  相似文献   

12.
Biological invasions threaten global biodiversity and natural resources. Anticipating future invasions is central to strategies for combating the spread of invasive species. Ecological niche models are thus increasingly used to predict potential distribution of invasive species. In this study, we compare ecological niches of Rhododendron ponticum in its native (Iberian Peninsula) and invasive (Britain) ranges. Here, we test the conservation of ecological niche between invasive and native populations of R. ponticum using principal component analysis, niche dynamics analysis, and MaxEnt‐based reciprocal niche modeling. We show that niche overlap between native and invasive populations is very low, leading us to the conclusion that the two niches are not equivalent and are dissimilar. We conclude that R. ponticum occupies novel environmental conditions in Britain. However, the evidence of niche shift presented in this study should be treated with caution because of nonanalogue climatic conditions between native and invasive ranges and a small population size in the native range. We then frame our results in the context of contradicting genetic evidence on possible hybridization of this invasive species in Britain. We argue that the existing contradictory studies on whether hybridization caused niche shift in R. ponticum are not sufficient to prove or disprove this hypothesis. However, we present a series of theoretical arguments which indicate that hybridization is a likely cause of the observed niche expansion of R. ponticum in Britain.  相似文献   

13.
Ecological niche modeling (ENM) is used widely to study species’ geographic distributions. ENM applications frequently involve transferring models calibrated with environmental data from one region to other regions or times that may include novel environmental conditions. When novel conditions are present, transferability implies extrapolation, whereas, in absence of such conditions, transferability is an interpolation step only. We evaluated transferability of models produced using 11 ENM algorithms from the perspective of interpolation and extrapolation in a virtual species framework. We defined fundamental niches and potential distributions of 16 virtual species distributed across Eurasia. To simulate real situations of incomplete understanding of species’ distribution or existing fundamental niche (environmental conditions suitable for the species contained in the study area; N* F ), we divided Eurasia into six regions and used 1–5 regions for model calibration and the rest for model evaluation. The models produced with the 11 ENM algorithms were evaluated in environmental space, to complement the traditional geographic evaluation of models. None of the algorithms accurately estimated the existing fundamental niche (N* F ) given one region in calibration, and model evaluation scores decreased as the novelty of the environments in the evaluation regions increased. Thus, we recommend quantifying environmental similarity between calibration and transfer regions prior to model transfer, providing an avenue for assessing uncertainty of model transferability. Different algorithms had different sensitivity to completeness of knowledge of N* F , with implications for algorithm selection. If the goal is to reconstruct fundamental niches, users should choose algorithms with limited extrapolation when N* F is well known, or choose algorithms with increased extrapolation when N* F is poorly known. Our assessment can inform applications of ecological niche modeling transference to anticipate species invasions into novel areas, disease emergence in new regions, and forecasts of species distributions under future climate conditions.  相似文献   

14.
Several factors can influence primate distributions, including evolutionary history, interspecific competition, climate, and anthropogenic impacts. In Madagascar, several small spatial scale studies have shown that anthropogenic habitat modification affects the density and distribution of many lemur species. Ecological niche models can be used to examine broad-scale influences of anthropogenic impacts on primate distributions. In this study, we examine how climate and anthropogenic factors influence the distribution of 11 Eulemur species using ecological niche models. Specifically, we created one set of models only using rainfall and temperature variables. We then created a second set of models that combined these climate variables with three anthropogenic factors: distance to dense settlements, villages, and croplands. We used MaxEnt to generate all the models. We found that the addition of anthropogenic variables improved the climate models. Also, most Eulemur species exhibited reduced predicted geographic distributions once anthropogenic factors were added to the model. Distance to dense settlements was the most important anthropogenic factor in most cases. We suggest that including anthropogenic variables in ecological niche models is important for understanding primate distributions, especially in regions with significant human impacts. In addition, we identify several Eulemur species that were most affected by anthropogenic factors and should be the focus of increased conservation efforts.  相似文献   

15.
Hutchinson defined the ecological niche as a hypervolume shaped by the environmental conditions under which a species can ‘exist indefinitely’. Although several authors further discussed the need to adopt a demographic perspective of the ecological niche theory, very few have investigated the environmental requirements of different components of species’ life cycles (i.e. vital rates) in order to examine their internal niche structures. It therefore remains unclear how species’ demography, niches and distributions are interrelated. Using comprehensive demographic data for two well‐studied, short‐lived plants (Plantago coronopus, Clarkia xantiana), we show that the arrangement of species’ demographic niches reveals key features of their environmental niches and geographic distributions. In Plantago coronopus, opposing geographic trends in some individual vital rates, through different responses to environmental gradients (demographic compensation), stabilize population growth across the range. In Clarkia xantiana, a lack of demographic compensation underlies a gradient in population growth, which could translate in a directional geographic range shift. Overall, our results highlight that occurrence and performance niches cannot be assumed to be the same, and that studying their relationship is essential for a better understanding of species’ ecological niches. Finally, we argue for the value of considering the assemblage of species’ demographic niches when studying ecological systems, and predicting the dynamics of species geographical ranges.  相似文献   

16.
Ecological niche modeling is used to estimate species distributions based on occurrence records and environmental variables, but it seldom includes explicit biotic or historical factors that are important in determining the distribution of species. Expert knowledge can provide additional valuable information regarding ecological or historical attributes of species, but the influence of integrating this information in the modeling process has been poorly explored. Here, we integrated expert knowledge in different stages of the niche modeling process to improve the representation of the actual geographic distributions of Mexican primates (Ateles geoffroyi, Alouatta pigra, and A. palliata mexicana). We designed an elicitation process to acquire information from experts and such information was integrated by an iterative process that consisted of reviews of input data by experts, production of ecological niche models (ENMs), and evaluation of model outputs to provide feedback. We built ENMs using the maximum entropy algorithm along with a dataset of occurrence records gathered from a public source and records provided by the experts. Models without expert knowledge were also built for comparison, and both models, with and without expert knowledge, were evaluated using four validation metrics that provide a measure of accuracy for presence-absence predictions (specificity, sensitivity, kappa, true skill statistic). Integrating expert knowledge to build ENMs produced better results for potential distributions than models without expert knowledge, but a much greater improvement in the transition from potential to realized geographic distributions by reducing overprediction, resulting in better representations of the actual geographic distributions of species. Furthermore, with the combination of niche models and expert knowledge we were able to identify an area of sympatry between A. palliata mexicana and A. pigra. We argue that the inclusion of expert knowledge at different stages in the construction of niche models in an explicit and systematic fashion is a recommended practice as it produces overall positive results for representing realized species distributions.  相似文献   

17.
Ecological niche models use presence-only data, which is often affected by lack of true absences leading to sampling bias. Over the last decade, there has been an uptick in the integration of occurrence data from global positioning systems telemetry data in ecological niche models and/or species distribution models. These data types can be affected by serial autocorrelation at high relocation frequencies yet have been used in ecological niche models using geographic filters and subsampling techniques. Yet, no study to date has attempted to discern a method to identify the appropriate time interval for a particular species if integrating GPS telemetry occurrence data in a MaxEnt framework. We demonstrate a rigorous spatial technique using a robust contemporary dataset from ocelots (Leopardus pardalis) to assess the appropriate time intervals to use in a species-specific ecological niche model. We assessed a range of daily time intervals (every 0.5, 1–4, 6, 8, and 12 h) commonly used in teresstrial mammalian carnivore studies. We observed the predictive performance of shorter time intervals every 2 h was comparable to much longer intervals every 12 h. These shorter intervals under/overestimated the least amount of data compared to 12 h. This study demonstrates that by accounting for serial autocorrelation and conducting rigorous spatial analyses, scientists can identify the appropriate time interval to integrate GPS telemetry data use in ecological niche models in MaxEnt. These results can also be transferable across highly mobile terrestrial taxa at different spatial scales, which can help inform species management or conservation strategies.  相似文献   

18.
Aim Theoretical work suggests that species’ ecological niches should remain relatively constant over long‐term ecological time periods, but empirical tests are few. We present longitudinal studies of 23 extant mammal species, modelling ecological niches and predicting geographical distributions reciprocally between the Last Glacial Maximum and present to test this evolutionary conservatism. Location This study covered distributional shifts in mammal species across the lower 48 states of the United States. Methods We used a machine‐learning tool for modelling species’ ecological niches, based on known occurrences and electronic maps summarizing ecological dimensions, to assess the ability of ecological niches as modelled in one time period to predict the geographical distribution of the species in another period, and vice versa. Results High intertemporal predictivity between niche models and species’ occurrences indicate that niche conservatism is widespread among the taxa studied, particularly when statistical power is considered as a reason for failure of reciprocal predictions. Niche projections to the present for 8 mammal taxa that became extinct at the end of the Pleistocene generally increased in area, and thus do not support the hypothesis of niche collapse as a major driving force in their extinction. Main conclusions Ecological niches represent long‐term stable constraints on the distributional potential of species; indeed, this study suggests that mammal species have tracked consistent climate profiles throughout the drastic climate change events that marked the end of the Pleistocene glaciations. Many current modelling efforts focusing on anticipating climate change effects on species’ potential geographical distributions will be bolstered by this result — in essence, the first longitudinal demonstration of niche conservatism.  相似文献   

19.
Although the systematic utility of ecological niche modeling is generally well known (e.g., concerning the recognition and discovery of areas of endemism for biogeographic analyses), there has been little discussion of applications concerning species delimitation, and to date, no empirical evaluation has been conducted. However, ecological niche modeling can provide compelling evidence for allopatry between populations, and can also detect divergent ecological niches between candidate species. Here we present results for two taxonomically problematic groups of Phelsuma day geckos from Madagascar, where we integrate ecological niche modeling with mitochondrial DNA and morphological data to evaluate species limits. Despite relatively modest levels of genetic and morphological divergence, for both species groups we find divergent ecological niches between closely related species and parapatric ecological niche models. Niche models based on the new species limits provide a better fit to the known distribution than models based upon the combined (lumped) species limits. Based on these results, we elevate three subspecies of Phelsuma madagascariensis to species rank and describe a new species of Phelsuma from the P. dubia species group. Our phylogeny continues to support a major endemic radiation of Phelsuma in Madagascar, with dispersals to Pemba Island and the Mascarene Islands. We conclude that ecological niche modeling offers great potential for species delimitation, especially for taxonomic groups exhibiting low vagility and localized endemism and for groups with more poorly known distributions. In particular, niche modeling should be especially sensitive for detecting recent parapatric speciation driven by ecological divergence, when the environmental gradients driving speciation are represented within the ecological niche models.  相似文献   

20.
Niche divergence among closely related lineages can be informative on the ecological and evolutionary processes involved in differentiation, particularly in the case of cryptic species complexes. Here we compared phylogenetic relationships and niche similarity between pairs of lineages included in the Podarcis hispanicus complex to examine patterns of niche divergence and its role in the organization of current diversity patterns, as allopatric, parapatric, and sympatric lineages occur in the Western Mediterranean Basin. First, we used ecological niche models to characterize the realized climatic niche of each Podarcis hispanicus complex lineage based on topographic and climatic variables, to identify important variables, and to test for niche conservatism or divergence between pairs of lineages. Variables related to precipitation generally exhibited the highest contribution to niche models, highlighting the importance of rainfall levels in shaping distributions of Podarcis wall lizards. We found that most forms have significant differences in realized climatic niches that do not follow the pattern of mitochondrial divergence. These results lend support to the hypothesis that genetic divergence across Podarcis hispanicus complex most likely occurred in allopatric conditions, mostly with significant niche divergence. Competition after secondary contact is also suggested by the common occurrence of niche overlap between lineages that exhibit strictly parapatric distribution. The almost continuous distribution of Podarcis lizards in the study area appears to be a result of a combination of complementary suitable niches and competition, which seem two important mechanisms limiting geographic distributions and restricting the existence of extensive contact zones.  相似文献   

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