Geographical distribution and determining factors of different invasive ranks of alien species across China
Graphical abstract
Introduction
Noxious alien invasive plants have attracted extensive attention owing to their significant threats to biodiversity, environment, and economies at local, regional, and global scales (Çelik and Gulersoy, 2014; Feng and Zhu, 2010; Liu et al., 2006; Liu et al., 2005; Majewska et al., 2018; Smith, 2016; Thapa et al., 2018; Thuiller et al., 2005; Xie et al., 2001). Alien species in China are those with origins outside China and that have been introduced into China either intentionally or accidentally (Jiang et al., 2011). China has a long history of accidental or deliberate introduction of exotic plant species via international trade (Liu et al., 2005). The country has a huge territory area (>9.6 million km2), spanning 52° in longitude and 50° in latitude, which supplies favorable habitats for alien species (Feng and Zhu, 2010). Alien species have more opportunities to naturalize, establish stable populations, expand their living space, and to compete for resources with native species (Jiang et al., 2011; Milbau and Stout, 2008). Therefore, studying the regional distribution and life-form spectra of alien species is essential to understand the process of invasion and to develop management measures.
Some alien invasive species have caused huge ecological and economic losses worldwide; however, not all alien species are noxious (Xie et al., 2001). According to The Checklist of the Chinese Invasive Plants (Ma and Li, 2018), 562 alien species have been recorded in China. Ma and Li (2018) classified Chinese alien species into the following six invasive ranks: malignant invaders, serious invaders, local invaders, mild invaders, species requiring further observation, and cultivated aliens based on their harm to the ecological environment and economic development, biological characteristics, and geographical distribution range (Ma and Li, 2018). Although previous studies have been conducted on the geographical distribution of several reported invasive species (Chen et al., 2017; Feng et al., 2011; Feng and Zhu, 2010; Liu et al., 2005; Pan et al., 2015) or a single species (Liu et al., 2016; Wang et al., 2016a), these studies have failed to show the complete characteristics of alien species distribution by considering a difference in their invasive ranks. In addition, even though relationships between natural and social factors and distribution patterns have been reported (Chen et al., 2017; Liu et al., 2005; Pan et al., 2015), factors that are the most important in influencing the distribution of different ranks of invasive alien species have not been fully examined.
A plant life-form is characterized by the adaptation of plants to their environmental conditions (Batalha and Martins, 2002; Weber et al., 2008; Wang et al., 2006). Whether a naturalized alien plant can adapt to a new environment largely depends on its life-form type (Weber et al., 2008). A life-form spectrum is the simplest and most conclusive classification scheme for characterizing adaptations of a group of plants in favorable seasons (Batalha and Martins, 2004; Weber et al., 2008). Therefore, the life-form spectra of alien species in different invasive ranks may reflect the characteristics of their adaptation to a new environment (Chen et al., 2017; Weber et al., 2008). However, whether different ranks of invasive plants have various life-form spectra and the characteristics of the spectra remain unclear.
In the present study, we used checklist data of Chinese alien species and invasive ranks of alien species to determine the distribution of alien species, the relationship between the distribution density and social or natural factors, and the life-form spectra of different invasive ranks. Our objectives were to determine: 1) How the distribution characteristics of alien species differed among different invasive ranks, and 2) How social or natural factors affect the distribution of alien species.
Section snippets
Data collection of alien species
We collected data of alien species and their distribution from The Checklist of the Chinese Invasive Plants (Ma and Li, 2018). The alien species included 562 species, belonging to 80 families and 325 genera that were distributed in 23 provinces, 5 autonomous regions, 4 municipalities, and 2 special administrative regions in China. According to the Flora of China, these species were classified into five life-forms, i.e., annual herb, biennial herb, perennial herb, shrubs, and trees (Huang et
Geographical distribution of species density of alien species
Species density of alien species in total and in the six ranks increased from the northwest inland to the southeast coastal areas of China (Fig. 1). The boundary line between the low and high density of alien species was consistent with the “Hu Line” (Qi et al., 2016). The “Hu Line” was discovered as a dividing line for the Chinese population density, revealing a spatial relationship between human activity and the natural environment (Chen et al., 2016; Hu et al., 2016). For total species
Distribution characteristics of alien species in various invasive ranks
Alien species density in various ranks increased from the northwest to the southeast regions of China. The results were consistent with previous studies on the geographical distribution of invasive species (Chen et al., 2017; Qi et al., 2004; Weber et al., 2008). Furthermore, we found that a boundary line between low and high alien species density was the “Hu Line.” The line is regarded as a boundary of geographical structure, climate, and economic and social development (Chen et al., 2016; Hu
Conclusions
The geographical distribution of six ranks of alien species increased from the northwest to the southeast regions of China, reflecting a significant relationship with climatic and social factors. Climatic factors, MAP and AMIT, were crucial factors in the distribution of various ranks of invasive alien species. Social factors, GPC, ground GDP, PD, and GDP, were important for the distribution, especially the ground GDP, which was crucial for the distribution of species and requires further
CRediT authorship contribution statement
Quanlai Zhou: Conceptualization, Methodology, Writing - original draft. Yongcui Wang: Formal analysis, Writing - original draft. Xuehua Li: Investigation, Formal analysis, Writing - original draft. Zhimin Liu: Formal analysis, Project administration, Writing - original draft. Jing Wu: Investigation, Writing - original draft. Ala Musa: Methodology, Writing - original draft. Qun Ma: Investigation, Writing - original draft. Haibin Yu: Data curation, Writing - original draft. Xue Cui:
Acknowledgments
We thank Yongming Luo and Hongmei Wang for assisting with data collection and technical support in data entry. This study was supported by National Key Research and Development Program of China (No. 2018YFC0507204) and National Natural Science Foundation of China (41601588). We would also like to thank Editage (www.editage.cn) for English language editing.
Declaration of competing interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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