| Title | Home-field advantage in soil respiration and its resilience to drying and rewetting cycles |
| Publication Type | Journal Article |
| Year of Publication | 2021 |
| Authors | Hu Z.K, Chen C.Y, Chen X.Y, Yao J.N, Jiang L., Liu M.Q |
| Journal | Science of The Total Environment |
| Volume | 750 |
| Pagination | 10 |
| Date Published | Jan |
| Type of Article | Article |
| ISBN Number | 0048-9697 |
| Accession Number | WOS:000585694600106 |
| Keywords | bacterial, Carbon sequestration, carbon use efficiency, Climate change, Drying and rewetting, ecosystem, ecosystem multifunctionality, Environmental Sciences & Ecology, Functional resilience, functional-significance, litter decomposition, microbial communities, microbial community, nitrogen, precipitation, resistance, responses, STABILITY |
| Abstract | Climate change is expected to increase extreme weather events, such as more extreme drought and rainfall incidences, with consequences for ecosystem carbon (C) cycling. An understanding of how drying and rewetting (DRW) events affect microbe-mediated soil processes is therefore critical to the predictions of future climate. Here, a reciprocal-transplant experiment was conducted using two soils originated from distinct climate and agricultural managements to evaluate how soil biotic and abiotic properties regulate soil respiration and its resilience to simulated DRW cycles. We found that regardless of the DRW intensity, the effects of microbial community on soil respiration and its resilience to DRW cycles were dependent on soil type. Soil microbial communities yielded higher respiration rates and resilience in native than foreign soils under both one and four DRW cycles, supporting the "home-field advantage" hypothesis. Structural equation modeling demonstrated that soil pH and total C directly influenced soil respiration, but effects of soil abiotic properties on respiration resilience were mediated by microbial communities. Among microbial drivers, the microbial C utilization capacity (as characterized by community-level physiological profile, C-acquisition enzyme activities and microbial metabolic quotients) was the best predictor of respiration resilience to DRW cycles, followed by microbial biomass carbon/nitrogen ratio and microbial community composition. Our study suggests that soil microbial communities may have adapted to their historical conditions, which facilitates the resilience of soil respiration to changing environments, but this adaptation may accelerate C loss from soils facing increasingly variable climate. (C) 2020 Elsevier B.V. All rights reserved.
|
| Alternate Journal | Sci. Total Environ. |
stdClass Object
(
[vid] => 623
[uid] => 11
[title] => Home-field advantage in soil respiration and its resilience to drying and rewetting cycles
[log] =>
[status] => 1
[comment] => 0
[promote] => 1
[sticky] => 0
[nid] => 545
[type] => biblio
[language] => und
[created] => 1616411832
[changed] => 1616411832
[tnid] => 0
[translate] => 0
[revision_timestamp] => 1616411832
[revision_uid] => 11
[biblio_type] => 102
[biblio_number] =>
[biblio_other_number] =>
[biblio_sort_title] => Homefield advantage in soil respiration and its resilience to dr
[biblio_secondary_title] => Science of The Total Environment
[biblio_tertiary_title] =>
[biblio_edition] =>
[biblio_publisher] =>
[biblio_place_published] =>
[biblio_year] => 2021
[biblio_volume] => 750
[biblio_pages] => 10
[biblio_date] => Jan
[biblio_isbn] => 0048-9697
[biblio_lang] => English
[biblio_abst_e] => Climate change is expected to increase extreme weather events, such as more extreme drought and rainfall incidences, with consequences for ecosystem carbon (C) cycling. An understanding of how drying and rewetting (DRW) events affect microbe-mediated soil processes is therefore critical to the predictions of future climate. Here, a reciprocal-transplant experiment was conducted using two soils originated from distinct climate and agricultural managements to evaluate how soil biotic and abiotic properties regulate soil respiration and its resilience to simulated DRW cycles. We found that regardless of the DRW intensity, the effects of microbial community on soil respiration and its resilience to DRW cycles were dependent on soil type. Soil microbial communities yielded higher respiration rates and resilience in native than foreign soils under both one and four DRW cycles, supporting the "home-field advantage" hypothesis. Structural equation modeling demonstrated that soil pH and total C directly influenced soil respiration, but effects of soil abiotic properties on respiration resilience were mediated by microbial communities. Among microbial drivers, the microbial C utilization capacity (as characterized by community-level physiological profile, C-acquisition enzyme activities and microbial metabolic quotients) was the best predictor of respiration resilience to DRW cycles, followed by microbial biomass carbon/nitrogen ratio and microbial community composition. Our study suggests that soil microbial communities may have adapted to their historical conditions, which facilitates the resilience of soil respiration to changing environments, but this adaptation may accelerate C loss from soils facing increasingly variable climate. (C) 2020 Elsevier B.V. All rights reserved.
[biblio_abst_f] =>
[biblio_full_text] => 0
[biblio_url] =>
[biblio_issue] =>
[biblio_type_of_work] => Article
[biblio_accession_number] => WOS:000585694600106
[biblio_call_number] =>
[biblio_notes] => ISI Document Delivery No.: OM0BS
Times Cited: 0
Cited Reference Count: 92
Hu, Zhengkun Chen, Chenying Chen, Xiaoyun Yao, Junneng Jiang, Lin Liu, Manqiang
Liu, Manqiang/G-6566-2012
Liu, Manqiang/0000-0001-6654-7795
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41877056, 41371263]; National Science & Technology Fundamental Resources Investigation Program of China [2018FY100300, 201806850046]
This study was supported by the National Natural Science Foundation of China (41877056, 41371263), the National Science & Technology Fundamental Resources Investigation Program of China (2018FY100300). This study also received financial support fromChina Scholarship Council to Zhengkun Hu (201806850046). We would like to express our appreciation to the editor and four referees for their insightful comments in both scientific issues and English edits. We are also grateful to Professor Fajun Chen, Dr. Xianping Li, and Mr. Xianqing Zheng for their help in soil sampling and data analysis.
34
Elsevier
Amsterdam
1879-1026
[biblio_custom1] =>
[biblio_custom2] =>
[biblio_custom3] =>
[biblio_custom4] =>
[biblio_custom5] =>
[biblio_custom6] =>
[biblio_custom7] => 141736
[biblio_research_notes] =>
[biblio_number_of_volumes] =>
[biblio_short_title] =>
[biblio_alternate_title] => Sci. Total Environ.
[biblio_original_publication] =>
[biblio_reprint_edition] =>
[biblio_translated_title] =>
[biblio_section] =>
[biblio_citekey] => 545
[biblio_coins] =>
[biblio_doi] =>
[biblio_issn] =>
[biblio_auth_address] => [Hu, Zhengkun; Chen, Chenying; Chen, Xiaoyun; Yao, Junneng; Liu, Manqiang] Nanjing Agr Univ, Coll Resources & Environm Sci, Soil Ecol Lab, Nanjing 210095, Peoples R China. [Hu, Zhengkun; Chen, Chenying; Chen, Xiaoyun; Yao, Junneng; Liu, Manqiang] Jiangsu Collaborat Innovat Ctr Solid Organ Waste, Nanjing 210014, Peoples R China. [Hu, Zhengkun; Jiang, Lin] Georgia Inst Technol, Sch Biol Sci, Atlanta, GA 30332 USA.
Liu, MQ (corresponding author), Nanjing Agr Univ, Coll Resources & Environm Sci, Nanjing 210095, Peoples R China.
liumq@njau.edu.cn
[biblio_remote_db_name] =>
[biblio_remote_db_provider] =>
[biblio_label] =>
[biblio_access_date] =>
[biblio_refereed] =>
[biblio_md5] => 2f8724c517eb4a82375a07ac0625a8b3
[biblio_formats] => Array
(
[biblio_abst_e] => full_html
[biblio_abst_f] => full_html
[biblio_notes] => full_html
[biblio_research_notes] => full_html
[biblio_custom1] => full_html
[biblio_custom2] => full_html
[biblio_custom3] => full_html
[biblio_custom4] => full_html
[biblio_custom5] => full_html
[biblio_custom6] => full_html
[biblio_custom7] => full_html
[biblio_coins] => full_html
[biblio_auth_address] => full_html
)
[biblio_type_name] => Journal Article
[biblio_contributors] => Array
(
[0] => Array
(
[nid] => 545
[vid] => 623
[cid] => 1349
[auth_type] => 1
[auth_category] => 1
[rank] => 0
[merge_cid] => 0
[aka] => 0
[alt_form] => 0
[drupal_uid] =>
[name] => Hu, Z. K.
[lastname] => Hu
[firstname] => Z.
[prefix] =>
[suffix] =>
[initials] => K.
[affiliation] =>
[literal] => 0
[md5] => 1759fc02c6d43b00d16defbe93be90d8
)
[1] => Array
(
[nid] => 545
[vid] => 623
[cid] => 1350
[auth_type] => 1
[auth_category] => 1
[rank] => 1
[merge_cid] => 0
[aka] => 0
[alt_form] => 0
[drupal_uid] =>
[name] => Chen, C. Y.
[lastname] => Chen
[firstname] => C.
[prefix] =>
[suffix] =>
[initials] => Y.
[affiliation] =>
[literal] => 0
[md5] => f95ede9be1c6f5fcc254d3a0eda7045f
)
[2] => Array
(
[nid] => 545
[vid] => 623
[cid] => 1351
[auth_type] => 1
[auth_category] => 1
[rank] => 2
[merge_cid] => 0
[aka] => 0
[alt_form] => 0
[drupal_uid] =>
[name] => Chen, X. Y.
[lastname] => Chen
[firstname] => X.
[prefix] =>
[suffix] =>
[initials] => Y.
[affiliation] =>
[literal] => 0
[md5] => 88461243618b610bc426340a4cce41d2
)
[3] => Array
(
[nid] => 545
[vid] => 623
[cid] => 1352
[auth_type] => 1
[auth_category] => 1
[rank] => 3
[merge_cid] => 0
[aka] => 0
[alt_form] => 0
[drupal_uid] =>
[name] => Yao, J. N.
[lastname] => Yao
[firstname] => J.
[prefix] =>
[suffix] =>
[initials] => N.
[affiliation] =>
[literal] => 0
[md5] => 033de6b6c412f21564524354184cbb8d
)
[4] => Array
(
[nid] => 545
[vid] => 623
[cid] => 1353
[auth_type] => 1
[auth_category] => 1
[rank] => 4
[merge_cid] => 0
[aka] => 0
[alt_form] => 0
[drupal_uid] =>
[name] => Jiang, L.
[lastname] => Jiang
[firstname] => L.
[prefix] =>
[suffix] =>
[initials] =>
[affiliation] =>
[literal] => 0
[md5] => 81d796e873c2c20888593087b1d233e4
)
[5] => Array
(
[nid] => 545
[vid] => 623
[cid] => 1354
[auth_type] => 1
[auth_category] => 1
[rank] => 5
[merge_cid] => 0
[aka] => 0
[alt_form] => 0
[drupal_uid] =>
[name] => Liu, M. Q.
[lastname] => Liu
[firstname] => M.
[prefix] =>
[suffix] =>
[initials] => Q.
[affiliation] =>
[literal] => 0
[md5] => 5964e50105705eb2ec1b01efc61fa81f
)
)
[biblio_keywords] => Array
(
[561] => bacterial
[777] => Carbon sequestration
[1394] => carbon use efficiency
[329] => Climate change
[1748] => Drying and rewetting
[133] => ecosystem
[1053] => ecosystem multifunctionality
[450] => Environmental Sciences & Ecology
[1749] => Functional resilience
[1750] => functional-significance
[164] => litter decomposition
[29] => microbial communities
[84] => microbial community
[68] => nitrogen
[1194] => precipitation
[206] => resistance
[16] => responses
[633] => STABILITY
)
[body] => Array
(
)
[rdf_mapping] => Array
(
[rdftype] => Array
(
[0] => sioc:Item
[1] => foaf:Document
)
[title] => Array
(
[predicates] => Array
(
[0] => dc:title
)
)
[created] => Array
(
[predicates] => Array
(
[0] => dc:date
[1] => dc:created
)
[datatype] => xsd:dateTime
[callback] => date_iso8601
)
[changed] => Array
(
[predicates] => Array
(
[0] => dc:modified
)
[datatype] => xsd:dateTime
[callback] => date_iso8601
)
[body] => Array
(
[predicates] => Array
(
[0] => content:encoded
)
)
[uid] => Array
(
[predicates] => Array
(
[0] => sioc:has_creator
)
[type] => rel
)
[name] => Array
(
[predicates] => Array
(
[0] => foaf:name
)
)
[comment_count] => Array
(
[predicates] => Array
(
[0] => sioc:num_replies
)
[datatype] => xsd:integer
)
[last_activity] => Array
(
[predicates] => Array
(
[0] => sioc:last_activity_date
)
[datatype] => xsd:dateTime
[callback] => date_iso8601
)
)
[name] => clare.cameron
[picture] => 0
[data] => a:13:{s:16:"ckeditor_default";s:1:"t";s:20:"ckeditor_show_toggle";s:1:"t";s:14:"ckeditor_width";s:4:"100%";s:13:"ckeditor_lang";s:2:"en";s:18:"ckeditor_auto_lang";s:1:"t";s:19:"biblio_show_profile";i:0;s:19:"biblio_my_pubs_menu";i:0;s:21:"biblio_contributor_id";s:1:"0";s:22:"biblio_id_change_count";s:1:"0";s:17:"biblio_user_style";s:6:"system";s:18:"biblio_baseopenurl";s:0:"";s:18:"biblio_openurl_sid";s:0:"";s:19:"biblio_crossref_pid";s:0:"";}
[entity_view_prepared] => 1
)