Community Attributes Predict the Relationship between Habitat Invasibility and Land Use Types in an Agricultural and Forest Landscape

Zhou, Yi; Su, Yi; Zhong, Yonglin; Xie, Peng; Xu, Mengfan; Su, Zhiyao

doi:10.3390/f10100867

Cited by 7 publications

(6 citation statements)

References 60 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We found significant associations between outlier SNPs, the percentage of non-vegetation cover, and the percentage of tree cover. M. micrantha often forms a dense thicket above nearby plants [21] and escapes the negative effects of tree or other vegetation cover on light availability [87]. These correlations suggest that the M. micrantha genome may respond positively to tree or vegetation cover.…”

Section: Adaptive Response To Environmental Variablesmentioning

confidence: 99%

Population Genomics Reveals Gene Flow and Adaptive Signature in Invasive Weed Mikania micrantha

Ruan

Wang

et al. 2021

Genes

View full text Add to dashboard Cite

A long-standing and unresolved issue in invasion biology concerns the rapid adaptation of invaders to nonindigenous environments. Mikania micrantha is a notorious invasive weed that causes substantial economic losses and negative ecological consequences in southern China. However, the contributions of gene flow, environmental variables, and functional genes, all generally recognized as important factors driving invasive success, to its successful invasion of southern China are not fully understood. Here, we utilized a genotyping-by-sequencing approach to sequence 306 M. micrantha individuals from 21 invasive populations. Based on the obtained genome-wide single nucleotide polymorphism (SNP) data, we observed that all the populations possessed similar high levels of genetic diversity that were not constrained by longitude and latitude. Mikania micrantha was introduced multiple times and subsequently experienced rapid-range expansion with recurrent high gene flow. Using FST outliers, a latent factor mixed model, and the Bayesian method, we identified 38 outlier SNPs associated with environmental variables. The analysis of these outlier SNPs revealed that soil composition, temperature, precipitation, and ecological variables were important determinants affecting the invasive adaptation of M. micrantha. Candidate genes with outlier signatures were related to abiotic stress response. Gene family clustering analysis revealed 683 gene families unique to M. micrantha which may have significant implications for the growth, metabolism, and defense responses of M. micrantha. Forty-one genes showing significant positive selection signatures were identified. These genes mainly function in binding, DNA replication and repair, signature transduction, transcription, and cellular components. Collectively, these findings highlight the contribution of gene flow to the invasion and spread of M. micrantha and indicate the roles of adaptive loci and functional genes in invasive adaptation.

show abstract

Section: Adaptive Response To Environmental Variablesmentioning

confidence: 99%

Population Genomics Reveals Gene Flow and Adaptive Signature in Invasive Weed Mikania micrantha

Ruan

Wang

et al. 2021

Genes

View full text Add to dashboard Cite

show abstract

“…Our study sites were located in the Yinpingshan Nature Reserve (22 • 52 ′ -22 • 56 ′ N, 114 • 05 ′ -114 • 15 ′ E), along a slope on Mount Yinping, the core zone of the nature reserve. This area is in the southeastern part of Dongguan, South China's Guangdong Province (Figure 1), and has a lower subtropical humid climate [17,18]. The mean annual temperature ranges from 21 • C to 22 • C, with the maximum mean temperature of 27.5 • C in July and the minimum mean temperature of 13.5 • C in January [17].…”

Section: Study Sitesmentioning

confidence: 99%

“…The peak of Mount Yinping is at an elevation of 898.2 m, the highest peak in the local area of Dongguan. Vegetation in the area is dominated by subtropical evergreen broadleaved forests [17,18].…”

Section: Study Sitesmentioning

confidence: 99%

Woody Plant Structural Diversity Changes across an Inverse Elevation-Dependent Warming Gradient in a Subtropical Mountain Forest

Su,

Gan,

Zhang

et al. 2024

Forests

Self Cite

View full text Add to dashboard Cite

Examining the changes in woody plant structural diversity along an inverse elevation-dependent warming gradient will enhance our mechanistic understanding of how warming affects forest communities because such an inverse elevational gradient reflects a warming trend in a mountain landscape. Here, we investigated the effects of warming on the patterns of species composition and structural diversity in a subtropical broadleaved forest. We calculated a warming index based on elevational difference and modeled the aspect-related potential incident radiation (PDIR) using nonparametric multiplicative regression. We tested the changes in structural diversity of three communities for significant differences along the warming gradient. We associated both the warming index and PDIR with the principal components and tested their relationships for significant differences. We found that trees of different sizes varied in their response to the warming gradient. While a significant decreasing trend was exhibited in both species diversity and size diversity for trees of all sizes and for adult trees along the warming gradient, no significant changes in seedlings were found, and the average basal area value was the highest for the warmest community. Our findings demonstrated that a short-range elevational gradient was adequate to separate the communities in species composition and structural diversity. Patterns of structural diversity along the warming gradient varied in size classes. The community at a higher elevation had more indicator species that were unique in separating the community from others. Principal component analysis showed that the first two principal components were negatively correlated with the warming index, indicating that warming destabilized species composition and community structure. Our study suggests that warming is the major driver of changes in structural diversity and species composition of woody plant communities in a subtropical broadleaved forest and that warming may promote tree productivity at the community level but reduce structural diversity at the quadrat level.

show abstract

“…To assess whether warming had significant effects on SOC, TN, and TP contents and C:N:P stoichiometric ratios, we performed Kruskal-Wallis tests to test for significance of variations in SOC, TN, and TP contents as well as C:N:P stoichiometric ratios across an inverse elevation-dependent warming gradient. Kruskal-Wallis test is a nonparametric alternative to one-way analysis of variance (ANOVA) and is appropriate for comparing three or more independent samples of field survey data [24,31]. We also evaluated the correlation coefficients in the relationships between the warming index and SOC, TN, TP, and C:N:P stoichiometric ratios.…”

Section: Statistical Analysesmentioning

confidence: 99%

Warming Effects on Topsoil Organic Carbon and C:N:P Stoichiometry in a Subtropical Forested Landscape

Xie

et al. 2020

Forests

View full text Add to dashboard Cite

Warming effects on agricultural and forest ecosystems have been well documented at broad spatiotemporal scales but less so at stand and landscape scales. To detect the changes in soil organic carbon (SOC) and carbon:nitogen:phosphorus (C:N:P) stoichiometry in response to a short-range warming gradient, we defined an inverse elevation-dependent warming gradient and developed a novel index of warming based on a common environmental lapse rate. We associated the warming gradient and warming index with the changes in SOC and C:N:P stoichiometry and tested the independence of warming effects using partial correlation analysis. SOC content and C:N:P stoichiometric ratios significantly decreased with warming, and the effect of warming on C:N:P stoichiometric ratios were stronger than on SOC content. The relationships of SOC content and C:N:P stoichiometric ratios with warming did not change after controlling for two other energy-related variables, i.e., transmitted total radiation and potential direct incident radiation. However, the strength in the relationships of C:N:P stoichiometric ratios with vegetation-related variables significantly decreased after the warming index was controlled for. As indicated by the random forest regression model, the warming index was the most important variable for predicting SOC variability and the second most important for predicting total N variability, while vegetation-related variables were the most important for predicting C:N:P stoichiometric ratios. Our results showed that warming was responsible for the decrease in SOC content and C:N:P stoichiometric ratios and the warming index was the most important variable for predicting SOC variability. Although the most important variables for C:N:P stoichiometric ratios were related to vegetation, the relationships between C:N:P stoichiometric ratios and vegetation-related variables were significantly affected by warming. These findings demonstrate that warming is the major driver of SOC variability and the decrease in SOC content, as well as of C:N:P stoichiometry, even along a short-range warming gradient.

show abstract

Community Attributes Predict the Relationship between Habitat Invasibility and Land Use Types in an Agricultural and Forest Landscape

Cited by 7 publications

References 60 publications

Population Genomics Reveals Gene Flow and Adaptive Signature in Invasive Weed Mikania micrantha

Population Genomics Reveals Gene Flow and Adaptive Signature in Invasive Weed Mikania micrantha

Woody Plant Structural Diversity Changes across an Inverse Elevation-Dependent Warming Gradient in a Subtropical Mountain Forest

Warming Effects on Topsoil Organic Carbon and C:N:P Stoichiometry in a Subtropical Forested Landscape

Contact Info

Product

Resources

About