<rdf:RDF xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dct="http://purl.org/dc/terms/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#">
  <rdf:Description rdf:about="https://doi.org/10.5061/dryad.c59zw3rf9">
    <dct:isReferencedBy>IMPACT4SOIL</dct:isReferencedBy>
    <dct:isReferencedBy>OpenAire</dct:isReferencedBy>
    <dct:isReferencedBy>Datacite</dct:isReferencedBy>
    <dct:license>unspecified</dct:license>
    <dct:created>2023-09-28</dct:created>
    <dct:available>2023-10-02</dct:available>
    <dc:description>unspecifiedFungal necromass is reduced by intensive drought in subsoil but not in  topsoil [Access this dataset on Dryad] (DOI: 10.5061/dryad.c59zw3rf9) A  drought simulation experiment was conducted on a poplar plantations in  Jiangsu, China. In this study, the precipitation input was controlled by  the rain canopy to simulate different drought conditions. We established  three treatments, including a control without throughfall reduction (CK);  moderate treatment with a 30% throughfall reduction (D30%); and intensive  treatment with a 50% throughfall reduction (D50%). Each treatment was set  up with three replicates for a total of nine plots. Soil samples were  extracted from all nine plots in 2021 (January in Winter, April in Spring,  July in Summer, and October in Autumn). The soil samples collected for  each plot are divided into 0-15cm topsoil and 15-30cm subsoil. We measured  the content of microbial necromass in these soil samples as well as soil  properties. Based on these data, we analyzed the ecological correlations  between soil depth, drought intensity, soil properties and microbial  necromass. ## Description of the data and file structure This dataset  showed the raw data we used in the manuscript. [Treatments] CK means soil  samples without throughfall removal, D30% means soil samples with 30%  throughfall removal, and D50% implies soil samples with 50% throughfall  removal. [Variables] Temp means soil temperature, Mois means soil  moisture, FNC means fungal necromass carbon , BNC means beterial necromass  carbon and TNC means total necromass carbon. The TNC=FNC+BNC. [Seasons]  Win: Winter (January, 2021); Spr: Spring (April, 2021); Sum: Summer (July,  2021); Aut: Auntumn (October, 2021).  *These data is aggregated in an  Excel file that can be accessed and observed in the corresponding tabs. ##  Code/Software This data file can be opened and accessed using Microsoft  Excel. </dc:description>
    <dc:description>unspecifiedFungal necromass is reduced by intensive drought in subsoil but not in  topsoil [Access this dataset on Dryad] (DOI: 10.5061/dryad.c59zw3rf9) A  drought simulation experiment was conducted on a poplar plantations in  Jiangsu, China. In this study, the precipitation input was controlled by  the rain canopy to simulate different drought conditions. We established  three treatments, including a control without throughfall reduction (CK);  moderate treatment with a 30% throughfall reduction (D30%); and intensive  treatment with a 50% throughfall reduction (D50%). Each treatment was set  up with three replicates for a total of nine plots. Soil samples were  extracted from all nine plots in 2021 (January in Winter, April in Spring,  July in Summer, and October in Autumn). The soil samples collected for  each plot are divided into 0-15cm topsoil and 15-30cm subsoil. We measured  the content of microbial necromass in these soil samples as well as soil  properties. Based on these data, we analyzed the ecological correlations  between soil depth, drought intensity, soil properties and microbial  necromass. ## Description of the data and file structure This dataset  showed the raw data we used in the manuscript. [Treatments] CK means soil  samples without throughfall removal, D30% means soil samples with 30%  throughfall removal, and D50% implies soil samples with 50% throughfall  removal. [Variables] Temp means soil temperature, Mois means soil  moisture, FNC means fungal necromass carbon , BNC means beterial necromass  carbon and TNC means total necromass carbon. The TNC=FNC+BNC. [Seasons]  Win: Winter (January, 2021); Spr: Spring (April, 2021); Sum: Summer (July,  2021); Aut: Auntumn (October, 2021).  *These data is aggregated in an  Excel file that can be accessed and observed in the corresponding tabs. ##  Code/Software This data file can be opened and accessed using Microsoft  Excel. The frequency and intensity of droughts worldwide are challenging the  conservation of soil organic carbon (SOC) pool. Microbial necromass is a  key component of SOC, but how it responds to drought at specific soil  depths remains largely unknown. Here, we conducted a three-year field  experiment in a forest plantation to investigate the impacts of drought  intensities under three treatments (ambient control (CK), moderate drought  (30% throughfall removal), and intensive drought (50% throughfall  removal)) on soil microbial necromass pools (i.e., bacterial necromass  carbon (BNC), fungal necromass carbon (FNC), and total microbial necromass  carbon (TNC)). We showed that the effects of drought on microbial  necromass depended on microbial groups, soil depth, and drought intensity.  While moderate drought increased total (+9.1&#177;3.3%) and fungal (+13.5&#177;4.9%)  necromass carbon in the topsoil layer (0&#8211;15 cm), intensive drought reduced  total (-31.6&#177;3.7%) and fungal (-43.6&#177;4.0%) necromass in the subsoil layer  (15&#8211;30 cm). In contrast, both drought treatments significantly increased  the bacterial necromass carbon in the topsoil and subsoil. Our results  suggested that the effects of drought on the microbial necromass of the  subsoil were more pronounced than those of the topsoil. This study  highlights the complex responses of microbial necromass to drought events  depending on microbial community structure, drought intensity and soil  depth with global implications when forecasting carbon cycling under  climate change. </dc:description>
    <dc:subject>2. Zero hunger</dc:subject>
    <dc:subject>soil organic carbon</dc:subject>
    <dc:subject>fungal necromass</dc:subject>
    <dc:subject>13. Climate action</dc:subject>
    <dc:subject>soil depth</dc:subject>
    <dc:subject>bacterial necromass</dc:subject>
    <dc:subject>15. Life on land</dc:subject>
    <dc:subject>throughfall removal</dc:subject>
    <dc:subject>6. Clean water</dc:subject>
    <dc:subject>FOS: Natural sciences</dc:subject>
    <dc:creator>Liu, Yuwei, Zou, Xiaoming, Chen, Han, Baquerizo, Manuel Delgado, Wang, Cuiting, Zhang, Chen, Ruan, Honghua, </dc:creator>
    <dc:date>2023-10-02</dc:date>
    <dct:abstract>unspecifiedFungal necromass is reduced by intensive drought in subsoil but not in  topsoil [Access this dataset on Dryad] (DOI: 10.5061/dryad.c59zw3rf9) A  drought simulation experiment was conducted on a poplar plantations in  Jiangsu, China. In this study, the precipitation input was controlled by  the rain canopy to simulate different drought conditions. We established  three treatments, including a control without throughfall reduction (CK);  moderate treatment with a 30% throughfall reduction (D30%); and intensive  treatment with a 50% throughfall reduction (D50%). Each treatment was set  up with three replicates for a total of nine plots. Soil samples were  extracted from all nine plots in 2021 (January in Winter, April in Spring,  July in Summer, and October in Autumn). The soil samples collected for  each plot are divided into 0-15cm topsoil and 15-30cm subsoil. We measured  the content of microbial necromass in these soil samples as well as soil  properties. Based on these data, we analyzed the ecological correlations  between soil depth, drought intensity, soil properties and microbial  necromass. ## Description of the data and file structure This dataset  showed the raw data we used in the manuscript. [Treatments] CK means soil  samples without throughfall removal, D30% means soil samples with 30%  throughfall removal, and D50% implies soil samples with 50% throughfall  removal. [Variables] Temp means soil temperature, Mois means soil  moisture, FNC means fungal necromass carbon , BNC means beterial necromass  carbon and TNC means total necromass carbon. The TNC=FNC+BNC. [Seasons]  Win: Winter (January, 2021); Spr: Spring (April, 2021); Sum: Summer (July,  2021); Aut: Auntumn (October, 2021).  *These data is aggregated in an  Excel file that can be accessed and observed in the corresponding tabs. ##  Code/Software This data file can be opened and accessed using Microsoft  Excel. </dct:abstract>
    <dct:abstract>unspecifiedFungal necromass is reduced by intensive drought in subsoil but not in  topsoil [Access this dataset on Dryad] (DOI: 10.5061/dryad.c59zw3rf9) A  drought simulation experiment was conducted on a poplar plantations in  Jiangsu, China. In this study, the precipitation input was controlled by  the rain canopy to simulate different drought conditions. We established  three treatments, including a control without throughfall reduction (CK);  moderate treatment with a 30% throughfall reduction (D30%); and intensive  treatment with a 50% throughfall reduction (D50%). Each treatment was set  up with three replicates for a total of nine plots. Soil samples were  extracted from all nine plots in 2021 (January in Winter, April in Spring,  July in Summer, and October in Autumn). The soil samples collected for  each plot are divided into 0-15cm topsoil and 15-30cm subsoil. We measured  the content of microbial necromass in these soil samples as well as soil  properties. Based on these data, we analyzed the ecological correlations  between soil depth, drought intensity, soil properties and microbial  necromass. ## Description of the data and file structure This dataset  showed the raw data we used in the manuscript. [Treatments] CK means soil  samples without throughfall removal, D30% means soil samples with 30%  throughfall removal, and D50% implies soil samples with 50% throughfall  removal. [Variables] Temp means soil temperature, Mois means soil  moisture, FNC means fungal necromass carbon , BNC means beterial necromass  carbon and TNC means total necromass carbon. The TNC=FNC+BNC. [Seasons]  Win: Winter (January, 2021); Spr: Spring (April, 2021); Sum: Summer (July,  2021); Aut: Auntumn (October, 2021).  *These data is aggregated in an  Excel file that can be accessed and observed in the corresponding tabs. ##  Code/Software This data file can be opened and accessed using Microsoft  Excel. The frequency and intensity of droughts worldwide are challenging the  conservation of soil organic carbon (SOC) pool. Microbial necromass is a  key component of SOC, but how it responds to drought at specific soil  depths remains largely unknown. Here, we conducted a three-year field  experiment in a forest plantation to investigate the impacts of drought  intensities under three treatments (ambient control (CK), moderate drought  (30% throughfall removal), and intensive drought (50% throughfall  removal)) on soil microbial necromass pools (i.e., bacterial necromass  carbon (BNC), fungal necromass carbon (FNC), and total microbial necromass  carbon (TNC)). We showed that the effects of drought on microbial  necromass depended on microbial groups, soil depth, and drought intensity.  While moderate drought increased total (+9.1&#177;3.3%) and fungal (+13.5&#177;4.9%)  necromass carbon in the topsoil layer (0&#8211;15 cm), intensive drought reduced  total (-31.6&#177;3.7%) and fungal (-43.6&#177;4.0%) necromass in the subsoil layer  (15&#8211;30 cm). In contrast, both drought treatments significantly increased  the bacterial necromass carbon in the topsoil and subsoil. Our results  suggested that the effects of drought on the microbial necromass of the  subsoil were more pronounced than those of the topsoil. This study  highlights the complex responses of microbial necromass to drought events  depending on microbial community structure, drought intensity and soil  depth with global implications when forecasting carbon cycling under  climate change. </dct:abstract>
    <dc:title>Fungal necromass is reduced by intensive drought in subsoil but not in topsoil</dc:title>
    <dc:identifier>10.5061/dryad.c59zw3rf9</dc:identifier>
    <dc:type>dataset</dc:type>
    <dct:references>https://doi.org/10.5061/dryad.c59zw3rf9</dct:references>
  </rdf:Description>
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