| Literature DB >> 33920822 |
Ilona Szumańska1, Sandra Lubińska-Mielińska1, Dariusz Kamiński1, Lucjan Rutkowski1, Andrzej Nienartowicz1, Agnieszka Piernik1.
Abstract
Invasive alien species (IAS) is a global problem that largely relates to human activities and human settlements. To prevent the further spread of IAS, we first need to know their pattern of distribution, to determine which constitutes the greatest threat, and understand which habitats and migration pathways they prefer. Our research aimed to identify the main vectors and distribution pattern of IAS of plants in the city environment. We checked the relations between species distribution and such environmental factors as urban soil type and habitat type. We applied data on IAS occurrence (collected in the period 1973-2015) in 515 permanent plots with dimensions of 0.5 × 0.5 km and analyzed by direct ordination methods. In total, we recorded 66 IAS. We found a 27% variance in the IAS distribution pattern, which can be explained by statistically significant soil and habitat types. The most important for species distribution were: river and alluvial soils, forests and related rusty soils, and places of intensive human activities, including areas of urbisols and industriosols. Our results provide details that can inform local efforts for the management and control of invasive species, and they provide evidence of the different associations between natural patterns and human land use.Entities:
Keywords: Central Europe; IAS; Toruń; alien species; expansion; invasion; urban invasions
Year: 2021 PMID: 33920822 PMCID: PMC8071169 DOI: 10.3390/plants10040773
Source DB: PubMed Journal: Plants (Basel) ISSN: 2223-7747
Results of forward selection and Monte Carlo permutation test demonstrating relative importance and statistical significance of soil types and habitat types in IAS distribution pattern.
| Soil-Type Effects | Habitat-Type Effects | ||||||
|---|---|---|---|---|---|---|---|
| Variable | V % | F |
| Variable | V % | F |
|
| Rs | 6.6 | 36.4 | 0.002 | Sw | 11.0 | 63.5 | 0.002 |
| Us | 5.4 | 31.2 | 0.002 | Fo | 6.8 | 42.3 | 0.002 |
| Is | 2.8 | 16.7 | 0.002 | Af | 1.7 | 11.1 | 0.002 |
| Po | 2.4 | 14.9 | 0.002 | Ag | 1.2 | 7.9 | 0.002 |
| As | 1.3 | 7.9 | 0.002 | SaGr | 0.9 | 5.8 | 0.002 |
| Rp | 1.6 | 10.3 | 0.002 | Mh | 0.6 | 4.1 | 0.002 |
| Ho | 1.9 | 12.5 | 0.002 | Ra | 0.4 | 2.3 | 0.02 |
| Ms | 0.8 | 5.4 | 0.002 | Tb | 0.3 | 1.9 | 0.084 |
| Ns | 0.5 | 3.6 | 0.002 | Ia | 0.2 | 1.2 | 0.254 |
| Gp | 0.5 | 3.2 | 0.008 | Ih | 0.2 | 1.2 | 0.334 |
| Gd | 0.5 | 3.3 | 0.004 | ||||
Soil types: Rs—rusty soils, Us—urbisols, Is—industriosols, Po—podzols, As—alluvial soils, Rp—replantosols, Ho—hortisols, Ms—mucky soils, Ns—necrosols, Gp—gleyic podzols, Gd—garbage dump. Habitat types: Fo—forests, Ag—allotment gardens, shrubs and grasslands, Ra—ruderal areas, SaGr—sands and gravels, Af—arable fields, Sw—surface water, Mh—multifamily housing areas, Ia—industrial areas, Ih—individual housing areas, and Tb—tenement buildings. Other abbreviations: V%—percentage of IAS variance explained in the model, F—Fisher parameter, p—significance level.
Figure 1Results of redundancy analysis (RDA) with forward selection and Monte Carlo permutation test: (a) relation between invasive plant species distribution and urban soil types, species over 3% fit are presented in ordination space of axis I and II; (b) relation between invasive plant species distribution and habitat types, species over 3% fit are presented in ordination space of axis I and II. * significant variables (p < 0.05). Abbreviations of urban soil types and habitat types as in Table 1. Abbreviations of plant names consist of the first three letters of the genus name and the first three letters of the species name, e.g., Que.rub—Quercus rubra L., Pru.ser—Prunus serotina Ehrh., full list in Table S1.
Figure 2Partitioning of the variance in invasive species data into the contributions of two subsets of environmental variables, which denote soil types (ST) and habitat types (HT) and shared portion by these two groups.
Figure 3Species richness models: (a) spatial IAS number in permanent plots, only species noted within city borders are included; (b) loess model of species number (isolines) in the gradient of soil types based on redundancy analysis (RDA); (c) loess model of species number (isolines) in the gradient of soil types based on redundancy analysis (RDA). Abbreviations of urban soil types and habitat types as in Table 1.
Figure 4Location and area of data collection in the city of Toruń in a grid of ATPOL squares (0.5 × 0.5 km).