文献类型：期刊文献

中文题名：CLIMEX:预测物种分布区的软件

英文题名：CLIMEX:professional biological software for predicting potential distribution of species.

作者：宋红敏[1,2];张清芬[1];韩雪梅[1];徐岩[1];徐汝梅[1]

第一作者：宋红敏

机构：[1]北京师范大学生物多样性与生态工程教育部重点实验室;[2]北京联合大学北京100083

第一机构：北京师范大学生物多样性与生态工程教育部重点实验室

年份：2004

卷号：41

期号：4

起止页码：379-386

中文期刊名：昆虫知识

外文期刊名：Entomological Knowledge

收录：北大核心:【北大核心2000】；CSCD:【CSCD2011_2012】；

基金：国家重点基础研究规划项目 (G2 0 0 0 0 0 4 6 90 3)资助

语种：中文

中文关键词：CLIMEX;物种;地理分布;气候参数;动态模拟模型;计算机软件

外文关键词：CLIMEX, potential distribution, prediction, Bursaphelenchus xylophilus, Monochamus alternatus

摘要：CLIMEX是通过物种已知地理分布区域的气候参数来预测物种潜在分布区的软件。 1 999年发布了最新版即CLIMEXforWindows 1 1。CLIMEX有 2个基本假设 :( 1 )物种在 1年内经历 2个时期 ,即适合种群增长时期和不适合以至于危及生存的时期 ;( 2 )气候是影响物种分布的主要因素 ,并利用增长指数、胁迫指数和限制条件 (滞育和有效积温 )描述物种对气候的不同反应 ,这 2组参数构成生态气候指数 ,作为全面描述物种在某地区和年份适合度的指标。模型预测结果以表、图和地图输出。CLIMEX可以用于检疫、生物防治、有害生物风险分析、害虫管理和流行病的预测等。目前已经用于几十种有害生物的适生性研究。该文通过拟和松墨天牛在中国的分布区为例说明CLIMEX的用法 ,并根据松墨天牛在亚洲东部的气候条件 ,预测其在全球的潜在适生区 。
CLIMEX is a professional biological software, which enables to predict the potential distribution of species, using biological data and climate parameters inferred from observed distribution. The latest version, CLIMEX for Windows 1.1, is presented in 1999. There are two assumptions in CLIMEX: (1) species experience a season that is favorable for population growth, and one that is unfavorable and jeopardize population persistence; (2) the potential distribution is determined by climate, which is presented by a set of parameters describing the subject species response to climate. Stress indices describe the probability of the species survival during the unfavorable season. Growth indices describe the potential growth of a population during the favorable season. Two limiting conditions include obligate diapause and the length of growing season. The growth and stress indices are combined into an “Ecoclimatic Index'( EI ), to show an overall measure of favorableness of the species at a particular location and year. The results are presented as tables, graphs or maps. CLIMEX is applied in such areas as quarantine, biological control, pest management, epidemiology and etc. Examples of studied subject species are Brachycaudus rumexicolen, Leptinoatarsa decemlineata, Ceratitis capitata, Hyphantria cunea, Cydia pomonella, Diuraphis noxia, Lissorhoptrus orgzophilus, Popillia japonica and etc. This paper shows how to use CLIMEX by simulating distribution of M. alternatus Hope in China. Finally, a global map for the potential distribution of Monochamus alternatus is presented, which is useful to quarantine institution to limit Bursaphelenchus xylophilus spread.