Ciência habilitada por dados de espécimes

Shaw, E. C., Fowler, R., Ohadi, S., Bayly, M. J., Barrett, R. A., Tibbits, J., … Cousens, R. D. (2020). Explaining the worldwide distributions of two highly mobile species: Cakile edentula and Cakile maritima. Journal of Biogeography. doi:10.1111/jbi.14024 https://doi.org/10.1111/jbi.14024

Aim: If we are able to determine the geographic origin of an invasion, as well as its known area of introduction, we can better appreciate the innate environmental tolerance of a species and the strength of selection for adaptation that colonizing populations have undergone. It also enables us to ma…

Deanna, R., Wilf, P., & Gandolfo, M. A. (2020). New physaloid fruit‐fossil species from early Eocene South America. American Journal of Botany, 107(12), 1749–1762. doi:10.1002/ajb2.1565 https://doi.org/10.1002/ajb2.1565

Premise: Solanaceae is a scientifically and economically important angiosperm family with a minimal fossil record and an intriguing early evolutionary history. Here, we report a newly discovered fossil lantern fruit with a suite of features characteristic of Physalideae within Solanaceae. The fossil…

Ebersbach, J., Tkach, N., Röser, M., & Favre, A. (2020). The Role of Hybridisation in the Making of the Species-Rich Arctic-Alpine Genus Saxifraga (Saxifragaceae). Diversity, 12(11), 440. doi:10.3390/d12110440 https://doi.org/10.3390/d12110440

Evolutionary processes fuelling rapid species diversification are not yet fully understood, although their major contribution to overall patterns of plant biodiversity is well established. Hybridisation is among the least understood of these processes, despite its multifaceted role in speciation pro…

Zanatta, F., Engler, R., Collart, F., Broennimann, O., Mateo, R. G., Papp, B., … Vanderpoorten, A. (2020). Bryophytes are predicted to lag behind future climate change despite their high dispersal capacities. Nature Communications, 11(1). doi:10.1038/s41467-020-19410-8 https://doi.org/10.1038/s41467-020-19410-8

The extent to which species can balance out the loss of suitable habitats due to climate warming by shifting their ranges is an area of controversy. Here, we assess whether highly efficient wind-dispersed organisms like bryophytes can keep-up with projected shifts in their areas of suitable climate.…

Magri, D., Parra, I., Di Rita, F., Ni, J., Shichi, K., & Worth, J. R. P. (2020). Linking worldwide past and present conifer vulnerability. Quaternary Science Reviews, 250, 106640. doi:10.1016/j.quascirev.2020.106640 https://doi.org/10.1016/j.quascirev.2020.106640

Inventories of species recently extinct or threatened with extinction may be found in global databases. However, despite the large number of published fossil based-studies, specific databases on the vulnerability of species in the past are not available. We compiled a worldwide database of published…

Rozefelds, A. C., Stull, G., Hayes, P., & Greenwood, D. R. (2020). The fossil record of Icacinaceae in Australia supports long-standing Palaeo-Antarctic rainforest connections in southern high latitudes. Historical Biology, 1–11. doi:10.1080/08912963.2020.1832089 https://doi.org/10.1080/08912963.2020.1832089

Fossil fruits of Icacinaceae are recorded from two Cenozoic sites in Australia, at Launceston in northern Tasmania and the Poole Creek palaeochannel in northern South Australia, representing the first report of fossil Icacinaceae from Australia. The Launceston material includes two endocarps with br…

Yi, S., Jun, C.-P., Jo, K., Lee, H., Kim, M.-S., Lee, S. D., … Lim, J. (2020). Asynchronous multi-decadal time-scale series of biotic and abiotic responses to precipitation during the last 1300 years. Scientific Reports, 10(1). doi:10.1038/s41598-020-74994-x https://doi.org/10.1038/s41598-020-74994-x

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 气候变化背景下五爪金龙在中国的潜在适生区预测 - 中国知网 文献知网节 充值 充值中心 购买知网卡 会员 文章目录 1 材料与方法     1.1 五爪金龙全球分布数据的采集     1.2 气候数据来源     1.3 中国行政区划地图来源     1.4 模型分析方法     1.5 数据处理 2 结果与分析     2.1 当前气候条件下五爪金龙的潜在分布区     2.2 气候变化背景下五爪金龙的潜在适生区预测     2.3 气候变化背景下五爪金龙潜在适生区的变化 3 讨论     3.1 当前气候条件下五爪金龙的分布区     3.2 气候变化背景下五爪金龙的分布区     3.3 气候因子对五爪金龙分布的影响     3.4 模型精度分析 西北农林科技大学学报(自然科学版). 2018,46(06)北大核心CSCD 记笔记 气候变化背景下五爪金龙在中国的潜在适生区预测 龚岩岩贾晓霞朱倩倩杨瑛博刘刚 陕西师范大学生命科学学院 摘要:【目的】预测气候变化背景下五爪金龙(Ipomoea cairica)在中国的潜在适生区,从而为预防该物种入侵提供理论依据。【方法】利用最大熵模型(MaxEnt)结合五爪金龙的分布点信息(1 695条数据)和气候数据(包括19个生物气候因子),分别预测其在当前和未来气候下的潜在适生区范围。为了预测五爪金龙在3个未来年代(2030s、2050s和2080s)的潜在适生区,采用7种大气环流模型(GCM)和4种二氧化碳排放代表性浓度路径(RCP)组合下的未来气候数据,分别为每个年代建立了28个生态位模型(ENMs),并计算其均值模型。【结果】MaxEnt模型的AUC值为0.943,表明模型预测精度较高。模型预测结果显示,五爪金龙的极高适生区主要集中在广西、广东、福建、台湾4个省(自治区),高度适生区主要在云南南部、海南、广西北部、福建北部、广东北部及台湾部分地区,这也正是该种目前在中国危害最严重的地区。气候变化背景下,其未来在华中和华北的适生区将会逐步缩减,湖南、江西、浙江和四川等省份的局部地区将会成为其新拓展的适生区范围。总体而言,至21世纪末,其在中国的适生区范围呈缩减态势,其适生区北界将会向南移动。在当前气候条件下,影响五爪金龙潜在适生区的主要环境因子为温度,包括年均温、温度季节变化方差、最冷月最低温度、年气温变化范围、最干季度平均温度和最冷季节平均温度。【结论】气候变化可能在一定程度上抑制五爪金龙在中国的入侵扩散,也可能导致未来中国中部地区该种的入侵风险增加。更多还原关键词:五爪金龙; MaxEnt模型; 潜在适生区; 生物入侵; 基金资助:国家自然科学基金青年项目(31600445);国家自然科学基金面上项目(31570425,11671243); 陕西省自然科学基础研究计划资助项目(2016JQ3009); 中央高校基本科研业务费专项资金资助项目(GK201703036); 有害生物控制与资源利用国家重点实验室(中山大学)开放课题(SKLBC14KF04); DOI:10.13207/j.cnki.jnwafu.2018.06.015 专辑: 专题: 分类号:Q948 手机阅读 即刻使用手机阅读 第一步扫描二维码下载 "移动知网-全球学术快报"客户端 第二步打开“全球学术快报” 点击首页左上角的扫描图标 第三步扫描二维码 手机同步阅读本篇文献 HTML阅读 CAJ下载 PDF下载 下载手机APP用APP扫此码同步阅读该篇文章 下载:278 页码:115-123 页数:9 大小:2195K 引文网络 节点文献 共引文献(0) 同被引文献(0) 二级参考文献(0) 参考文献(0) 引证文献(0) 二级引证文献(0) 参考文献 二级参考文献 引证文献 二级引证文献 参考文献 二级参考文献 引证文献 二级引证文献 参考文献 引证文献 共引文献 同被引文献 二级参考文献 二级引证文献 批量下载 相关推荐 相似文献 读者推荐 相关基金文献 相关法规 关联作者 相关视频 批量下载 HTML阅读 CAJ下载 PDF下载 读者服务购买知网卡充值中心我的CNKI帮助中心 CNKI常用软件下载CAJViewer浏览器CNKI数字化学习平台工具书桌面检索软件 特色服务手机知网杂志订阅数字出版物订阅广告服务 客服咨询订卡热线:400-819-9993服务热线:400-810-9888 在线咨询:help.cnki.net 邮件咨询:help@cnki.net 新浪微博客服腾讯微博客服官方微信 关于我们CNKI 荣誉版权公告客服中心在线咨询用户建议知网招聘© 1998-2021 中国知网(CNKI) 京 ICP 证 040431 号网络出版服务许可证 (总)网出证(京)字第 271 号京公网安备 11010802020460 号《中国学术期刊(光盘版)》电子杂志社有限公司KDN 平台基础技术由 KBASE 11.0 提供. https://doi.org/10.13207/j.cnki.jnwafu.2018.06.015

【目的】预测气候变化背景下五爪金龙(Ipomoea cairica)在中国的潜在适生区,从而为预防该物种入侵提供理论依据。【方法】利用最大熵模型(MaxEnt)结合五爪金龙的分布点信息(1 695条数据)和气候数据(包括19个生物气候因子),分别预测其在当前和未来气候下的潜在适生区范围。为了预测五爪金龙在3个未来年代(2030s、2050s和2080s)的潜在适生区,采用7种大气环流模型(GCM)和4种二氧化碳排放代表性浓度路径(RCP)组合下的未来气候数据,分别为每个年代建立了28个生态位模型(ENMs),并计算其均值模型。【结果】MaxEnt模型的AUC值为0.943,表明模型预测精度较高…

Jayathilake, D. R. M., & Costello, M. J. (2018). A modelled global distribution of the seagrass biome. Biological Conservation, 226, 120–126. doi:10.1016/j.biocon.2018.07.009 https://doi.org/10.1016/j.biocon.2018.07.009

Seagrasses form one of the most ecologically important and productive three-dimensional habitats in coastal seas. Knowing the global distribution of seagrass meadows is essential for conservation and blue carbon estimates. Here, we modelled the global distribution of seagrass using 43,037 occurrence…

Mason, C. M., LaScaleia, M. C., De La Pascua, D. R., Monroe, J. G., & Goolsby, E. W. (2020). Learning from Dynamic Traits: Seasonal Shifts Yield Insights into Ecophysiological Trade-Offs across Scales from Macroevolutionary to Intraindividual. International Journal of Plant Sciences, 181(1), 88–102. doi:10.1086/706238 https://doi.org/10.1086/706238

Premise of the Research. Phylogenetic comparative methods provide a powerful approach for exploring the macroevolution of plant functional traits. Such approaches can uncover trait-trait correlations through evolutionary time, as well as provide evidence of the role of traits in adaptation across en…