Dataset Information

Plant traits and vegetation data from climate warming experiments along an 1100?m elevation gradient in Gongga Mountains, China.

ABSTRACT: Functional trait data enhance climate change research by linking climate change, biodiversity response, and ecosystem functioning, and by enabling comparison between systems sharing few taxa. Across four sites along a 3000-4130?m a.s.l. gradient spanning 5.3?°C in growing season temperature in Mt. Gongga, Sichuan, China, we collected plant functional trait and vegetation data from control plots, open top chambers (OTCs), and reciprocally transplanted vegetation turfs. Over five years, we recorded vascular plant composition in 140 experimental treatment and control plots. We collected trait data associated with plant resource use, growth, and life history strategies (leaf area, leaf thickness, specific leaf area, leaf dry matter content, leaf C, N and P content and C and N isotopes) from local populations and from experimental treatments. The database consists of 6,671 plant records and 36,743 trait measurements (increasing the trait data coverage of the regional flora by 500%) covering 11 traits and 193 plant taxa (ca. 50% of which have no previous published trait data) across 37 families.

SUBMITTER: Vandvik V

PROVIDER: S-EPMC7305152 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

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Plant traits and vegetation data from climate warming experiments along an 1100 m elevation gradient in Gongga Mountains, China.

Vandvik Vigdis V Halbritter Aud H AH Yang Yan Y He Hai H Zhang Li L Brummer Alexander B AB Klanderud Kari K Maitner Brian S BS Michaletz Sean T ST Sun Xiangyang X Telford Richard J RJ Wang Genxu G Althuizen Inge H J IHJ Henn Jonathan J JJ Garcia William Fernando Erazo WFE Gya Ragnhild R Jaroszynska Francesca F Joyce Blake L BL Lehman Rebecca R Moerland Michelangelo Sergio MS Nesheim-Hauge Elisabeth E Nordås Linda Hovde LH Peng Ahui A Ponsac Claire C Seltzer Lorah L Steyn Christien C Sullivan Megan K MK Tjendra Jesslyn J Xiao Yao Y Zhao Xiaoxiang X Enquist Brian J BJ

Scientific data 20200619 1

Functional trait data enhance climate change research by linking climate change, biodiversity response, and ecosystem functioning, and by enabling comparison between systems sharing few taxa. Across four sites along a 3000-4130 m a.s.l. gradient spanning 5.3 °C in growing season temperature in Mt. Gongga, Sichuan, China, we collected plant functional trait and vegetation data from control plots, open top chambers (OTCs), and reciprocally transplanted vegetation turfs. Over five years, we recorde ...[more]

PMID: 32561854

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Project description:Bacteria in root nodules of legumes play important roles in promoting plant growth. In this study, we investigated root nodule-associated bacteria isolated from leguminous plants along an elevation gradient on the northern slope of the Kunlun Mountains, China, using a cultivation approach. In total, 300 isolates were obtained from seven legume species within six ecological zones. Isolates were identified based on 16S rRNA gene phylogenetic analysis and potential rhizobia were further identified using a recA gene phylogeny. Among the isolates, Bacillales (particularly Bacillus) were the dominant isolates from all host legumes and all elevations (63.5%), followed by Rhizobiales (13%) and Pseudomonadales (11.7%). Less than 3% of the isolates belonged to Burkholderiales, Paenibacillales, Enterobacteriales, Actinomycetales, Sphingomonadales, Xanthomonadales, Chitinophagales, Brevibacillales, Staphylococcales, or Mycobacteriales. A few elevation-specific patterns emerged within the Bacillales and Pseudomonadales. For example, isolates related to the psychrotroph Bacillus psychrosaccharolyticus were only isolated from the highest elevation sites (>3,500 m) whereas those related to the mesophile Bacillus endophyticus were only isolated from lowest elevation sites (1,350 m), suggestive of a role of soil temperature in their distribution. Similarly, isolates related to Pseudomonas brassicacearum were the dominant Pseudomonadales isolates, but they were only isolated from middle and low elevations (<3,200 m). A total of 39 isolates belonged to the Rhizobiales, 36 of which were confirmed to the genus level using the recA gene. In all, Rhizobiales isolates were obtained from five different host legumes spanning the entire elevation gradient. Those from the low-elevation Qira Desert-Oasis Transition Zone (1,350-1,960 m) suggested some patterns of host preference. For example, most isolates from Albizia julibrissin formed a monophyletic group related to Rhizobium lemnae and most from Alhagi sparsifolia were closely related to Ensifer kummerowiae. In general, this study shows that most bacteria associated with root nodules of legumes are widely distributed in distinct ecological zones within a single geographic region but suggests that both climate and host interactions may influence their distributions.

Dataset Information

Plant traits and vegetation data from climate warming experiments along an 1100?m elevation gradient in Gongga Mountains, China.

Publications

Plant traits and vegetation data from climate warming experiments along an 1100 m elevation gradient in Gongga Mountains, China.

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