2017
DOI: 10.1038/srep40387
|View full text |Cite
|
Sign up to set email alerts
|

Topography-associated thermal gradient predicts warming effects on woody plant structural diversity in a subtropical forest

Abstract: Understanding global warming effects on forest ecosystems will help policy-makers and forest managers design forest management and biodiversity conservation strategies. We examined the change in woody plant structural diversity in response to topography-associated thermal gradients in a subtropical forest with diverse abundance patterns. We found that energy distribution in a warming trend across slopes had significant effects on woody plant structural diversity. Except for total basal area of the adult trees,… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
19
1

Year Published

2017
2017
2023
2023

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 24 publications
(25 citation statements)
references
References 38 publications
(56 reference statements)
0
19
1
Order By: Relevance
“…We used the plant as the sampling unit because individuals independently express their phenotypes (Archibald and Bond , He et al. ). The marginal effect of treatment was estimated by exponentiating the parameter coefficients (i.e., the odds ratios) and their 95% confidence intervals (CI).…”
Section: Methodsmentioning
confidence: 99%
“…We used the plant as the sampling unit because individuals independently express their phenotypes (Archibald and Bond , He et al. ). The marginal effect of treatment was estimated by exponentiating the parameter coefficients (i.e., the odds ratios) and their 95% confidence intervals (CI).…”
Section: Methodsmentioning
confidence: 99%
“…To evaluate the effects of diversity metrics of both the canopy and understory communities on understory plant invasion, we tested the changes in diversity metrics for significance across invasion severity gradients using Kruskal-Wallis test. Kruskal-Wallis test, a nonparametric alternative to one-way analysis of variance (ANOVA), is the appropriate method for comparing two or more independent samples or groups of equal or different sample sizes, especially for field ecology data [39].…”
Section: Discussionmentioning
confidence: 99%
“…This area is alongside the Dongjiang River in the eastern part of South China s Guangdong province and has a humid subtropical monsoon climate. The mean annual temperature ranges from 20.3 • C to 21.1 • C and the mean annual precipitation is 2142 mm [23,24]. Soils are clay loamy latosols developed from granite.…”
Section: Study Sitementioning
confidence: 99%
“…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%
See 1 more Smart Citation