Elevation, soil pH, and calcium availability shape regional and local scale spatial patterns of PhoD gene abundance in tropical and subtropical forests
Data files
Jan 19, 2026 version files 156.83 KB
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Dataset.csv
153.91 KB
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README.md
2.93 KB
Abstract
Organic phosphorus mineralization is a critical process in the phosphorus cycle, governing phosphorus bioavailability for plants. The PhoD gene, which encodes the key enzyme alkaline phosphatase, serves as a valuable biomarker for this process. Soil microbes harboring the PhoD gene mediate this process by secreting extracellular alkaline phosphatases. This gene is widespread across diverse bacterial phyla, and its significance has been extensively reported in agroecosystems, particularly in response to fertilizer inputs. However, the spatial distribution of the PhoD gene in natural ecosystems along environmental gradients and its consequent effects on phosphorus dynamics remain unclear. We investigated the spatial distribution of the PhoD gene abundance across 20-ha study areas in tropical (Nabanhe, Bubeng) and subtropical (Ailaoshan) forests spanning broad elevation gradients but narrow latitudinal ranges. Our objectives were to: (a) characterize its spatial patterns, (b) identify the key drivers of its variation across local and regional scales, and (c) determine the influence of soil chemical properties. PhoD gene abundance and detectability differed sharply among forests. Abundance was highest and most ubiquitous in mid-elevation Nabanhe (1015.86-1235.64 m), intermediate in low-elevation Bubeng (712.05-860.05 m), and lowest in high-elevation Ailaoshan (2443.78-2586.13 m), where the gene was frequently undetectable. The most striking contrast was the high prevalence of non-detection in Ailaoshan compared to the other sites. The results identified elevation, soil pH, and calcium as the top three predictors of PhoD gene abundance and distribution at the regional scale. Soil pH was a consistent driver at both regional and local scales. Regionally, the effect of elevation was mediated by changes in soil pH and macronutrients (TC, TN, TP). However, at local scales, the spatial pattern was associated with variations in soil parent material, which influenced both soil pH and calcium. In summary, PhoD gene abundance varied significantly across the forest ecosystems. Our investigation demonstrates how elevation-driven environmental changes shape the genetic potential for phosphorus mineralization, underscoring the need for broader-scale studies to project the responses of this key microbial process to global change.
Dataset DOI: 10.5061/dryad.70rxwdccp
Description of the data and file structure
The attached file contains the data used in the paper "Elevation, soil pH and calcium availability shape regional and local scale spatial patterns of PhoD gene abundance in tropical and subtropical forests" by Sandhya Mishra*, Shangwen Xia, Wenting Wang, Xiaodong Yang* - Functional Ecology
Files and variables
File name: Dataset.csv
Description:
Variables of data
Datasheet 1 contains data from three forest sites in Yunnan, China: Nabanhe, Bubeng, and Ailaoshan. Each site comprises 260 spatially referenced sampling points collected across a 20‑hectare study area. Samples are named with site-specific prefixes: NB1–NB260 (Nabanhe), BB1–BB260 (Bubeng), and AL1–AL260 (Ailaoshan).
Sheet 1. Named as Dataset. We put data of geographical locations (Latitude and Longitude), topography (Elevation, Slope, Aspect), soil physicochemical properties, litter biomass, and PhoD gene abundance in their original raw forms.
Abbreviations in Sheet 1. TC, total carbon; TN, total nitrogen; TP, total phosphorus; Ca, available calcium; Fe, available iron; K, available potassium; Mg, available magnesium; Mn, available manganese; AP, available phosphorus; S, available sulfur; Moisture, soil moisture.
Variables with units
- Elevation (m)
- Latitude (°)
- Longitude (°)
- Slope, Aspect, pH (unitless)
- TC: Total carbon (g/kg)
- TN: Total nitrogen (g/kg)
- TP: Total phosphorus (g/kg)
- Ca: Available calcium (mg/kg)
- Fe: Available iron (mg/kg)
- K: Available potassium (mg/kg)
- Mg: Available magnesium (mg/kg)
- Mn: Available manganese (mg/kg)
- AP: Available phosphorus (mg/kg)
- S: Available sulfur (mg/kg)
- Moisture: Soil moisture (%)
- Litter biomass (g)
- PhoD gene abundance (copies/µL)
Code/software
All statistical analyses were performed in the R environment (version 4.4.2) using the following R packages: gstat package (Pebesma, 2004; Goldman et al., 2020) , FactoMineR and factoextra packages (Husson et al., 2017; Kassambara & Mundt, 2017; Bayranvand et al., 2021), glmmTMB package (Brooks et al., 2017; Yang et al., 2025), randomForest package (Liaw & Wiener, 2002; Li et al., 2025), rfPermute package (Archer, 2018; Wang et al., 2023c), pdp R package (v.0.8) (Greenwell, 2017; Knight et al., 2024), and plspm package (Sanchez et al., 2015; Zhou et al., 2024). R codes supporting this dataset are available from the authors upon request.
