Precipitation alters the relationship between biodiversity and multifunctionality of grassland ecosystems.

J Environ Manage

College of Geography and Environmental Science, Northwest Normal University, Lanzhou, 730070, Gansu, China.

Published: March 2025

Precipitation changes largely influence the relationship between biodiversity and ecosystem multifunctionality (EMF). Our understanding of how biodiversity at multiple trophic levels regulates EMF under different precipitation conditions and how the relative importance of biodiversity at these different trophic levels to EMF changes dynamically along the precipitation gradient still needs to be improved. This study evaluated how the relationship between plant diversity, soil biodiversity, and EMF responds to precipitation changes using information obtained on biomes (including plants and soil organisms) and ecological functional traits. We collected 120 samples at eight representative stations along a 3177 km precipitation gradient (mean annual precipitation from 268.4 to 722.9 mm) in the northeastern Tibetan Plateau. We investigated the relationship between plant diversity, soil bacterial and fungal diversity, soil ciliate diversity, and EMF along the precipitation gradient. The results showed that across the precipitation gradient, the functional richness of plant diversity was the strongest predictor of EMF, effectively driving EMF over a wide threshold interval from 10% to 99%, with a maximum effect size of 0.27. The relative importance of plant diversity and soil biodiversity on EMF changes around a mean annual precipitation (MAP) of 450 mm. Plant diversity has a significant positive effect on EMF when MAP is above 463 mm. Soil biodiversity is more critical for EMF when MAP is below 428 mm. Our study shows that the impact of plant and soil biomes on EMF changes dynamically along a precipitation gradient. We identified a critical precipitation threshold of approximately 450 mm MAP, the dividing line between semi-arid and sub-humid climates. Our study highlights that the loss of plant and soil biodiversity may have severe consequences under low and high precipitation conditions, respectively, calling for developing biodiversity conservation strategies in response to climate change to avoid impacts on grassland ecosystem services.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jenvman.2025.124707DOI Listing

Publication Analysis

Top Keywords

precipitation gradient
20
plant diversity
20
diversity soil
16
soil biodiversity
16
precipitation
13
emf changes
12
emf
11
biodiversity
9
relationship biodiversity
8
precipitation changes
8

Similar Publications

Development and Validation of a HPLC-MS/MS Method for the Determination of Compound 13b in Rat Plasma and Its Application to a Pharmacokinetic Study.

Biomed Chromatogr

April 2025

NMPA Key Laboratory for Research and Evaluation of Drug Metabolism & Guangdong Provincial Key Laboratory of New Drug Screening & Guangdong-Hongkong-Macao Joint Laboratory for New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou, China.

Compound 13b, a newly identified anthraquinone derivative, has demonstrated potent efficacy against the Zika virus. To explore the bioavailability and pharmacokinetic properties of compound 13b, a robust and sensitive HPLC-MS/MS method was established and verified to determine its plasma concentration in rats. Sample preparation involved protein precipitation using acetonitrile with testosterone as an internal standard.

View Article and Find Full Text PDF

Previous studies mainly focused on the impact of climatic conditions on stone heritage microbial communities, while ignoring a global ecological perspective of pollution on heritage microorganisms. In particular, there is a lack of detailed analysis of the impact of pollution levels on microbial metabolic function. In this study, >6000 bacterial OTUs from 17 world cultural heritage sites were considered.

View Article and Find Full Text PDF

Measurement of antibiotic accumulation in bacteria is essential for full understanding of the mechanisms of antimicrobial resistance but requires a highly sensitive analytical assay. A suitable ultra performance reverse phase liquid chromatographic tandem mass spectrometry (UPLC-MS/MS) method was developed in the electrospray negative ionisation mode for quantifying tobramycin in Pseudomonas aeruginosa cell extracts. P.

View Article and Find Full Text PDF

Rice crop disease is critical in precision agriculture due to various influencing components and unstable environments. The current study uses machine learning (ML) models to predict rice crop disease in Eastern India based on biophysical factors for current and future scenarios. The nine biophysical parameters are precipitation (Pr), maximum temperature (T), minimum temperature (T), soil texture (ST), available water capacity (AWC), normalized difference vegetation index (NDVI), soil-adjusted vegetation index (SAVI), normalized difference chlorophyll index (NDCI), and normalized difference moisture index (NDMI) by Random forest (RF), Gradient Boosting Machine (GBM), Extreme Gradient Boosting (XGB), Artificial Neural Net (ANN), and Support vector Machine (SVM).

View Article and Find Full Text PDF

Predicting surface soil pH spatial distribution based on three machine learning methods: a case study of Heilongjiang Province.

Environ Monit Assess

March 2025

National Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Beijing, 100081, China.

Comprehensive and accurate acquisition of surface soil pH spatial distribution information is essential for monitoring soil degradation and providing scientific guidance for agricultural practices. This study focused on Heilongjiang Province in China, utilizing data from 125 soil survey sampling points. Key environmental covariates were identified as modeling inputs through Pearson correlation analysis and recursive feature elimination (RFE).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!