Chang Xiao-Yu, Chen Bao-Ming, Liu Gang, Zhou Ting, Jia Xiao-Rong, Peng Shao-Lin
State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510006, China.
PLoS One. 2015 Jun 3;10(6):e0126228. doi: 10.1371/journal.pone.0126228. eCollection 2015.
The impacts of climate change on forest community composition are still not well known. Although directional trends in climate change and community composition change were reported in recent years, further quantitative analyses are urgently needed. Previous studies focused on measuring population growth rates in a single time period, neglecting the development of the populations. Here we aimed to compose a method for calculating the community composition change, and to testify the impacts of climate change on community composition change within a relatively short period (several decades) based on long-term monitoring data from two plots-Dinghushan Biosphere Reserve, China (DBR) and Barro Colorado Island, Panama (BCI)-that are located in tropical and subtropical regions. We proposed a relatively more concise index, Slnλ, which refers to an overall population growth rate based on the dominant species in a community. The results indicated that the population growth rate of a majority of populations has decreased over the past few decades. This decrease was mainly caused by population development. The increasing temperature had a positive effect on population growth rates and community change rates. Our results promote understanding and explaining variations in population growth rates and community composition rates, and are helpful to predict population dynamics and population responses to climate change.
气候变化对森林群落组成的影响仍不太清楚。尽管近年来报道了气候变化和群落组成变化的趋势,但仍迫切需要进一步的定量分析。以往的研究侧重于测量单个时间段内的种群增长率,而忽略了种群的发展。在此,我们旨在构建一种计算群落组成变化的方法,并基于中国鼎湖山生物圈保护区(DBR)和巴拿马巴罗科罗拉多岛(BCI)这两个位于热带和亚热带地区的样地的长期监测数据,验证气候变化在相对较短时期(几十年)内对群落组成变化的影响。我们提出了一个相对更简洁的指数,Slnλ,它指的是基于群落中优势物种的总体种群增长率。结果表明,在过去几十年里,大多数种群的种群增长率有所下降。这种下降主要是由种群发展导致的。气温升高对种群增长率和群落变化率有积极影响。我们的结果有助于理解和解释种群增长率和群落组成率的变化,并有助于预测种群动态以及种群对气候变化的响应。