Ecological systems often exhibit a positive but saturating diversity-function curve. Variation in the mechanisms generating this relationship can alter the slope and variance of the curve, with implications for the optimal management of biodiversity for ecosystem services. In biological control, prevalence of selection effects supports augmentation of the most effective natural enemy, but complementarity effects support augmentation of natural enemy diversity. Optimization of biological control strategies from the results of diversity-function studies is limited because few consider changes in function with relative or absolute changes in abundance, and many confound the relative importance of richness and density through experimental designs (additive and substitutive). By manipulating species richness across an abundance gradient we show that effects of species richness are density dependent and indicate how this may be incorporated into experimental designs or models predicting resource consumption in diverse communities. Furthermore, the underlying mechanisms causing an observed diversity-function response, and its associated variation, changed across the richness-abundance gradient. Finally, species-rich assemblages provided higher levels of minimum function than species-poor assemblages, without any compromise on the maximum function possible.
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http://dx.doi.org/10.1890/08-0685.1 | DOI Listing |
Appl Environ Microbiol
November 2024
Key Laboratory of Ecology and Management on Forest Fire in Higher Education institutions of Guizhou Province/Key Laboratory of Development and Utilization of Biological Resources in Colleges and Universities of Guizhou Province, Guizhou Education University, Guiyang, Guizhou, China.
Mar Pollut Bull
December 2024
School of Science and Technology, Hong Kong Metropolitan University, Ho Man Tin, Kowloon, Hong Kong Special Administrative Region of China; Department of Chemistry, State Key Laboratory of Marine Pollution, City University of Hong Kong, Kowloon, Hong Kong Special Administrative Region of China. Electronic address:
Ecological functions of coastal wetlands are closely linked to microbiome that is affected by anthropogenic pollution, but related systematic research is rare. This study explored microbial community and physicochemical characteristics of sediments in three habitats, mudflat, mangrove and inter-tidal shrimp ponds (gei wai), in a Ramsar using 16S amplicon sequencing. Proteobacteria was the most abundant and Vibrio was detected in all habitats.
View Article and Find Full Text PDFImeta
June 2024
National Genomics Data Center & Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health Chinese Academy of Sciences Shanghai China.
A large number of oceanic metagenomic data and environmental metadata have been published. However, most studies focused on limited ecosystems using different analysis tools, making it challenging to integrate these data into robust results and comprehensive global understanding of marine microbiome. Here, we constructed a systematic and quantitative analysis platform, the Microbiome Atlas/Sino-Hydrosphere for Ocean Ecosystem (MASH-Ocean: https://www.
View Article and Find Full Text PDFInt J Mol Sci
March 2024
Key Laboratory of Integrated Rice-Fish Farming Ecology, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi 214081, China.
Integrated rice-fish farming has emerged as a novel agricultural production pattern to address global food security challenges. Aiming to determine the optimal, scientifically sound, and sustainable stocking density of red claw crayfish () in an integrated rice-crayfish farming system, we employed Illumina high-throughput 16S rRNA gene sequencing to evaluate the impact of different stocking densities of red claw crayfish on the composition, diversity, function, and co-occurrence network patterns of soil bacterial communities. The high stocking density of red claw crayfish reduced the diversity and evenness of the soil bacterial community during the mid-culture stage.
View Article and Find Full Text PDFCurr Res Microb Sci
February 2024
Red Sea Research Center, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Makkah, 23955, Saudi Arabia.
The study of the whole of the genetic material contained within the microbial populations found in a certain environment is made possible by metagenomics. This technique enables a thorough knowledge of the variety, function, and interactions of microbial communities that are notoriously difficult to research. Due to the limitations of conventional techniques such as culturing and PCR-based methodologies, soil microbiology is a particularly challenging field.
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