How does species rarity influence the functional diversity and resilience along the successional pathway in heterogeneous karst forests?
Data files
May 27, 2025 version files 50.74 KB
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dataset_code.zip
47.90 KB
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README.md
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Abstract
Global climate change and human activities have increased the risk of rare species loss due to their sensitivity to disturbances. Considering their dominance in hyper-diverse communities, the contribution pathways and extent of rare species loss to functional diversity and resilience should be clarified. Therefore, we established 30 forest dynamic plots in heterogeneous degraded karst forests and measured the plant functional traits along the successional pathway. The correlations between trait uniqueness and species rarity were quantified, and the effects of rare and common species losses on functional diversity and trait networks were simulated. The correlations between trait uniqueness and species rarity showed rare species tended to occupy marginal functional space positions in the mid and late successional stages. In addition, rare species mainly supported functional redundancy in the early successional stage and significantly impacted functional resilience. In contrast, the unique traits supported by rare species increased along the successional pathway, thus increasing functional diversity and resilience in the late successional stage. This study highlights the crucial role of rare species in the functional diversity and resilience of degraded karst forests, warranting increased attention to rare species during biodiversity conservation and ecological management in heterogeneous, vulnerable ecosystems.
Authors: Longchenxi Meng, Scott Jarvie, Mingzhen Sui, Danmei Chen, Guangqi Zhang, Qingfu Liu, Yi Ding, Han Xu, Lipeng Zang
Corresponding Author: Lipeng Zang, cafzanglp@163.com
Journal name: Proceedings of the Royal Society B: Biological Sciences
Dataset DOI: 10.5061/dryad.m63xsj4f5
Description of the data and file structure
We have submitted our datasets from karst forest, including: raw data of plant species abundance (SC_abundance.csv, SG_abundance.csv, OG_abundance.csv) and plant leaf trait (SC_traits.csv, SG_traits.csv, OG_traits.csv) for early, mid, and late successional stages respectively; R script for analyses (01_FUZZYQ.R, 02_FUNSPACE.R, 03_FUNDIVERSITY.R, 04_FUNNETWORK.R); and a species code file (Species_name.csv).
File list:
01_FUZZYQ.R
02_FUNSPACE.R
03_FUNDIVERSITY.R
04_FUNNETWORK.R
OG_abundance.csv
OG_traits.csv
SC_abundance.csv
SC_traits.csv
SG_abundance.csv
SG_traits.csv
Species name.csv
File descriptions:
SC_abundance.csv, SG_abundance.csv, OG_abundance.csv
The row names represent the plots, and column names represent the species name code in the species abundance files.
SC_traits.csv, SG_traits.csv, OG_traits.csv
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Species: species name code
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SLA: specific leaf area (cm2/g)
Specific leaf area=leaf area/Leaf dry weight
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LDMC: leaf dry matter content (g/g)
leaf dry matter content=Leaf dry weight/Leaf fresh weight
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LT: leaf thickness (mm)
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LCC: leaf carbon concentration (g/kg)
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LNC: leaf nitrogen concentration (g/kg)
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LPC: leaf phosphorus concentration (g/kg)
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C:N: leaf carbon/nitrogen ratio
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C:P: leaf carbon/phosphorus ratio
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N:P: leaf nitrogen/phosphorus ratio
Species_name.csv
This file contains the scientific names corresponding to the species codes in the raw data, where each species code is a combination of the first four letters of the genus and species names.
Code/Software
01_FUZZYQ.R: This file contains R code to quantify the species rarity index .
02_FUNSPACE.R:This file contains R code to construct a functional trait space based on kernel density probability.
03_FUNDIVERSITY.R:This file contains R code to calculate functional diversity, build species loss models, and draw graphs.
04_FUNNETWORK.R:This file contains R code to construct a functional trait network, calculate its topological coefficients, simulate the effects of species loss on the network, and visualize the impact of two species loss scenarios using a radar chart.
**We use R version 4.3.2 to process and analyse our data. **
Annotations are provided throughout the script.
