| Literature DB >> 33785794 |
Quanlai Zhou1,2, Jing Wu3, Xue Cui4, Xuehua Li2, Zhimin Liu2, Ala Musa2, Qun Ma2, Haibin Yu2, Wei Liang2, Shaoyan Jiang5, Yongcui Wang6,7.
Abstract
Dispersal ability is important for the introduction, establishment, and spread of alien plant species. Therefore, determination of the geographical distribution of the dispersal ability of such species, and the relationship between dispersal ability and socio-climatic factors are essential to elucidate the invasion strategies of the alien plant species. Analytic hierarchy process and inventory, risk rank, and dispersal mode data available on Chinese alien plant species were used to determine their dispersal ability, the geographical distribution thereof, and the relationship between socio-climatic factors and dispersal ability. High-risk alien plant species had a higher natural dispersal ability (or several natural dispersal modes) but a lower anthropogenic dispersal ability (or few anthropogenic dispersal modes) than low-risk alien plant species. The geographical distribution of the dispersal ability of the alien plant species showed an inverse relationship with species density. Alien plant species with low dispersal ability (i.e., with fewer dispersal modes and distribution in the southeast) showed a tendency to adapt to environments with mild climates, while those with high dispersal ability (i.e., with more disposal nodes and distribution in the northwest) showed a tendency to adapt to harsh environments. It is essential for land managers and policy makers to understand the geographical distribution of the dispersal ability of alien plant species and their socio-climatic control factors to formulate strategies to control the natural and anthropogenic dispersal of such plants.Entities:
Year: 2021 PMID: 33785794 PMCID: PMC8009951 DOI: 10.1038/s41598-021-85934-8
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Definitions of the six risk ranks and the percentage of alien plant species in China that belonged in each.
| Rank | Description | Category[ | Invasion scale | Distribution | Loss | Number of species | Percentage (%) |
|---|---|---|---|---|---|---|---|
| I | Malignant invaders | Transformer | National scale | More than one physical geographical region | Enormous economic and ecological loss | 37 | 6.4 |
| II | Serious invaders | Invasive | National scale | At least one physical geographical region | Enormous economic and ecological loss and a bad influence on society | 50 | 9.0 |
| III | Local invaders | Invasive | Regional scale | At least one physical geographical region | Big economic and ecological loss | 73 | 13.3 |
| IV | Mild invaders | Invasive | Local or national scale | Unable to invade into new geographical regions | Low economic and ecological loss | 79 | 14.2 |
| V | Requiring further observation | Naturalized non-invasive | Unknown | Undetermined | In a naturalized state | 225 | 39.8 |
| VI | Cultivated alien species | Cultivated | National scale | Under cultivation | No loss | 98 | 17.3 |
| Total | 562 | 100 |
Figure 1Five dispersal strategies with twenty-one dispersal modes.
Figure 2Dispersal ability of the alien plant species across China in six risk ranks. (a) Natural dispersal ability; (b) anthropogenic dispersal ability; (c) overall dispersal ability. (I) Rank I: malignant invaders; (II) rank II: serious invaders; (III) rank III: local invaders; (IV) rank IV: mild invaders; (V) rank V: species requiring further observation; and (VI) rank VI: cultivated alien species. The plot was drawn by SigmaPlot 10.0 (https://systat-sigmaplot.com).
ANOVA results for the natural, anthropogenic, and overall natural and anthropogenic dispersal abilities of alien plant species in the six risk ranks.
| Source of variation | d.f | MS | |||
|---|---|---|---|---|---|
| Natural | Risk ranks | 5 | 0.004 | 2.339 | 0.041 |
| dispersal ability | Error | 556 | 0.002 | ||
| Anthropogenic | Risk ranks | 5 | 0.193 | 14.184 | 0.000 |
| Dispersal ability | Error | 556 | 0.014 | ||
| Overall | Risk ranks | 5 | 0.142 | 9.038 | 0.000 |
| Error | 556 | 0.016 |
Figure 3Geographical distribution of dispersal ability of all species studied and six risk ranks (I–VI) for the overall, natural, and anthropogenic dispersal abilities across China. (T) Total alien plant species; (I) rank I: malignant invaders; (II) rank II: serious invaders; (III) rank III; local invaders; (IV) rank IV; mild invaders; (V) rank V; species requiring further observation; (VI) rank VI: cultivated alien species. Maps generated by ArcMap 10.0 (https://support.esri.com/zh-cn/Products/Desktop/arcgis-desktop/arcmap/10).
ANOVA analysis and estimation of regression coefficients among the natural, anthropogenic, and overall dispersal abilities and socio-climatic factors for all alien plant species and each of the six risk ranks thereof.
| Rank | ANOVA | Coefficient | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Dispersal ability | R2 | Model | d.f | MS | F | P | Independent | B | t | P | |
| Total | Natural | 0.44 | Regression | 1 | 1.2 | 24.7 | 0.000 | Intercept | 7.9 | 30.4 | 0.000 |
| Error | 32 | 0.05 | MAH | − 0.02 | − 5.0 | 0.000 | |||||
| Anthropogenic | 0.15 | Regression | 1 | 2.4 | 5.7 | 0.023 | Intercept | 32.3 | 186.8 | 0.000 | |
| Error | 32 | 0.4 | GDP | − 0.11 | − 2.4 | 0.023 | |||||
| Overall | 0.30 | Regression | 1 | 6.3 | 14.0 | 0.001 | Intercept | 41.7 | 51.4 | 0.000 | |
| Error | 32 | 0.5 | GDP | − 0.04 | − 3.7 | 0.001 | |||||
| I | Natural | – | – | – | – | – | – | – | – | – | – |
| Anthropogenic | 0.26 | Regression | 1 | 9.5 | 11.2 | 0.002 | Intercept | 23.6 | 70.9 | 0.000 | |
| Error | 32 | 0.9 | MAP | 0.01 | 3.3 | 0.002 | |||||
| Overall | 0.31 | Regression | 1 | 12.5 | 14.2 | 0.001 | Intercept | 31.2 | 92.6 | 0.000 | |
| Error | 32 | 0.9 | GDP | 0.001 | 3.8 | 0.001 | |||||
| II | Natural | 0.235 | Regression | 1 | 1.6 | 9.8 | 0.004 | Intercept | 7.1 | 48.5 | 0.000 |
| Error | 32 | 0.2 | MAP | 0.00 | 3.1 | 0.004 | |||||
| Anthropogenic | – | – | – | – | – | – | – | – | – | – | |
| Overall | – | – | – | – | – | – | – | – | – | – | |
| III | Natural | 0.54 | Regression | 2 | 18.8 | 18.6 | 0.000 | Intercept | 5.4 | 10.6 | 0.000 |
| Error | 31 | 1.0 | MFD | 0.03 | 5.8 | 0.000 | |||||
| MAT | 0.07 | 2.3 | 0.025 | ||||||||
| Anthropogenic | 0.24 | Regression | 1 | 78.7 | 10.3 | 0.003 | Intercept | 40.4 | 12.1 | 0.000 | |
| Error | 32 | 7.6 | MAP | − 0.15 | − 3.2 | 0.003 | |||||
| Overall | 0.46 | Regression | 1 | 181.2 | 27.8 | 0.000 | Intercept | 53.6 | 17.4 | 0.000 | |
| Error | 32 | 6.5 | MAH | − 0.23 | − 5.3 | 0.000 | |||||
| IV | Natural | 0.4 | Regression | 1 | 2.5 | 21.3 | 0.000 | Intercept | 8.7 | 20.9 | 0.000 |
| Error | 32 | 0.1 | MAH | − 0.03 | − 4.6 | 0.000 | |||||
| Anthropogenic | 0.28 | Regression | 1 | 14.5 | 12.7 | 0.001 | Intercept | 33.5 | 117.7 | 0.000 | |
| Error | 32 | 1.1 | MAH | − 0.27 | − 3.6 | 0.001 | |||||
| Overall | 0.48 | Regression | 2 | 15.2 | 14.1 | 0.000 | Intercept | 44.3 | 35.2 | 0.000 | |
| Error | 31 | 1.1 | GDP | − 0.25 | − 3.2 | 0.003 | |||||
| MAH | − 0.06 | − 3.0 | 0.004 | ||||||||
| V | Natural | 0.44 | Regression | 2 | 0.95 | 12.2 | 0.000 | Intercept | 3.7 | 5.6 | 0.000 |
| Error | 31 | 0.08 | MFD | 0.01 | 4.9 | 0.000 | |||||
| MAH | 0.03 | 3.7 | 0.001 | ||||||||
| Anthropogenic | 0.179 | Regression | 1 | 7.6 | 7.0 | 0.013 | Intercept | 34.6 | 123.9 | 0.000 | |
| Error | 32 | 1.1 | MFD | − 0.20 | − 2.6 | 0.013 | |||||
| Overall | 0.38 | Regression | 2 | 8.6 | 9.3 | 0.001 | Intercept | 40.1 | 108.3 | 0.000 | |
| Error | 31 | 0.9 | MFD | 0.02 | 3.0 | 0.005 | |||||
| GDP | − 0.16 | − 2.3 | 0.029 | ||||||||
| VI | Natural | − | − | − | − | − | − | − | − | − | − |
| Anthropogenic | 0.28 | Regression | 1 | 3.1 | 12.4 | 0.001 | Intercept | 38.2 | 63.7 | 0.000 | |
| Error | 32 | 0.2 | MAH | − 0.03 | − 3.5 | 0.001 | |||||
| Overall | 0.2 | Regression | 1 | 3.6 | 8.1 | 0.008 | Intercept | 44.1 | 54.4 | 0.000 | |
| Error | 32 | 0.4 | MAH | − 0.03 | − 2.8 | 0.008 |