Ecological networks of dissolved organic matter and microorganisms under global change
Ang Hu,
Mira Choi,
Andrew J. Tanentzap,
Jinfu Liu,
Kyoung-Soon Jang,
Jay T. Lennon,
Yongqin Liu,
Janne Soininen,
Xiancai Lu,
Yunlin Zhang,
Ji Shen and
Jianjun Wang ()
Additional contact information
Ang Hu: Chinese Academic of Sciences
Mira Choi: Bio-Chemical Analysis Team, Korea Basic Science Institute
Andrew J. Tanentzap: University of Cambridge
Jinfu Liu: Chinese Academic of Sciences
Kyoung-Soon Jang: Bio-Chemical Analysis Team, Korea Basic Science Institute
Jay T. Lennon: Indiana University
Yongqin Liu: Lanzhou University
Janne Soininen: University of Helsinki
Xiancai Lu: Nanjing University
Yunlin Zhang: Chinese Academic of Sciences
Ji Shen: Nanjing University
Jianjun Wang: Chinese Academic of Sciences
Nature Communications, 2022, vol. 13, issue 1, 1-15
Abstract:
Abstract Microbes regulate the composition and turnover of organic matter. Here we developed a framework called Energy-Diversity-Trait integrative Analysis to quantify how dissolved organic matter and microbes interact along global change drivers of temperature and nutrient enrichment. Negative and positive interactions suggest decomposition and production processes of organic matter, respectively. We applied this framework to manipulative field experiments on mountainsides in subarctic and subtropical climates. In both climates, negative interactions of bipartite networks were more specialized than positive interactions, showing fewer interactions between chemical molecules and bacterial taxa. Nutrient enrichment promoted specialization of positive interactions, but decreased specialization of negative interactions, indicating that organic matter was more vulnerable to decomposition by a greater range of bacteria, particularly at warmer temperatures in the subtropical climate. These two global change drivers influenced specialization of negative interactions most strongly via molecular traits, while molecular traits and bacterial diversity similarly affected specialization of positive interactions.
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31251-1
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DOI: 10.1038/s41467-022-31251-1
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