Data from: Above- and belowground plant pathogens along elevational gradients: Patterns and potential mechanisms
Data files
Sep 17, 2024 version files 57.31 KB
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Elevation_and_Pathogen-Original-data-and-R-code.rar
55.84 KB
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README.md
1.48 KB
Abstract
Plant pathogens are important for community assembly and ecosystem functioning and respond to a variety of abiotic and biotic factors, which may change along elevational gradients. Thus, elevational gradients are a valuable model system for exploring how environmental, plant community and soil factors influence pathogen communities. Yet, how these factors influence pathogens in natural ecosystems remains poorly understood. We examined the dynamics of plant fungal pathogens along elevational gradients, as well as the mechanisms shaping these dynamics, by combining a field survey on the Tibetan Plateau with a global meta-analysis. In the field survey, increasing elevation was associated with a decrease in soil fungal pathogen richness but not in foliar fungal disease symptoms. Elevation was primarily related to soil fungal pathogen richness through abiotic factors, whereas no association was found between elevation and foliar fungal diseases. The meta-analysis confirmed the generality of our field survey results: elevation was associated with a decrease in soil fungal pathogen richness, but it had no consistent relationship with foliar fungal diseases or pathogens. Thus, above- and belowground plant pathogen communities showed distinct elevational patterns, providing new insights into underlying mechanisms.
README: Data from: Above- and belowground plant pathogens along elevational gradients: Patterns and potential mechanisms
This repository contains published original data and R code.
Both the original data and R code were divided into two parts - "Haibei-Field-Study" and "Meta-analysis".
(i.e. four files attached in this repository named:
- "Haibei_Elevation_Pathogen_Analysis.R": the R code for Haibei field study;
- "HaibeiData.xlsx": the original data of Haibei field study;
- "Meta_Elevation_Pathogen_Analysis.R": the R code for Meta-analysis;
- "MetaData.xlsx": the original data of Meta-analysis.) Detailed annotations were attached in each of above four files
For the original data of Haibei field study:
Following data were contained -
1. elevation;
2. plant community characteristics (only on community level);
3. soil properties (only the first principle component of soil properites, Soil PCA1);
4. environmental conditions;
5. foliar fungal disease (only on community level);
6. soil fungal pathogen related indices (only on community level).
[for each of 30 plots in the experiment]
For the original data of Meta-analysis:
Following data were contained -
1. numbers of studies and papers;
2. basic information of papers;
3. ecological and geographical information of study site;
4. ecological and geographical focuses of experimental design;
5. statistical results for analysis.
[for each of 62 studies included in the Meta-analysis]