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1.
Ying Yong Sheng Tai Xue Bao ; 35(2): 289-297, 2024 Feb.
Article in English | MEDLINE | ID: mdl-38523085

ABSTRACT

To explore potential responses of ecosystem carbon density to changes of community structure during natural regeneration of woody plants, we analyzed the relationships between ecosystem carbon density and its components, tree species diversity, structural diversity (CVDBH) and spatial structure parameters (mingling, aggregation, dominance, crowding) of Cunninghamia lanceolata forests with different sprouting densities (1154, 847 and 465 individuals·hm-2) at the early stage of succession in Baishanzu National Park. The results showed that tree species diversity (species richness index and Shannon diversity index) increased with the decrease of sprouting density of C. lanceolata. Among the stand structural parameters, CVDBH, stand density, and mingling increased with the decrease of sprouting density of C. lanceolata. The stand distribution pattern of different C. lanceolata densities was uniform, with sub-dominant stand growth status and relatively dense status. The carbon density of tree layer under high, medium, and low sprouting densities of C. lanceolata were 57.56, 56.12 and 46.54 t·hm-2, soil carbon density were 104.35, 122.71 and 142.00 t·hm-2, and the total carbon density of ecosystem were 164.59, 182.41 and 190.13 t·hm-2, respectively. There was little variation in carbon density of understory layer and litter layer among different treatments. The carbon density distribution characteristics of different C. lanceolata densities were following the order of soil layer (63.4%-74.7%) > tree layer (24.5%-35.0%) > understory layer and litter layer (0.8%-2.0%). The results of variance partitioning analysis indicated that the change of tree layer carbon density was mainly influenced by stand structure diversity, soil layer carbon density was influenced by both tree species diversity and stand structure diversity, while ecosystem carbon density was mainly influenced by tree species diversity. Stand spatial structure parameters had a relatively little effect on ecosystem carbon density and its components. The sprouting density of C. lanceolata significantly affected ecosystem carbon accumulation during the conversion from C. lanceolata plantations to natural forests. A lower remaining density of C. lanceolata (about 500 individuals·hm-2) was more conducive to forest carbon sequestration.


Subject(s)
Cunninghamia , Ecosystem , Humans , Carbon/chemistry , Forests , Trees , Soil/chemistry , China
2.
Mitochondrial DNA B Resour ; 6(5): 1656-1657, 2021 May 17.
Article in English | MEDLINE | ID: mdl-34104727

ABSTRACT

Andreaea rupestris Hedw., one of the lantern mosses, is the lectotype of the genus Andreaea Hedw. (Andreaeaceae). Here we present its complete plastome. The plastome of A. rupestris is successfully assembled from raw reads sequenced by HiSeq X ten system. Its total length is 135,214 bp consisting of four regions: large single copy (LSC) region (92,780 bp), small single copy (SSC) region (21,102 bp), and two inverted repeat regions (IRs; 10,666 bp per each). It contains 134 genes (88 coding genes, 8 rRNAs, and 38 tRNAs). The overall GC content is 30.3% and in the LSC, SSC, and IR regions are 27.5%, 26.5%, and 46.2%, respectively. The present data will be an important sequence resource for further studies on the important early diverging lineage of mosses.

3.
Mitochondrial DNA B Resour ; 6(1): 200-201, 2021 Jan 21.
Article in English | MEDLINE | ID: mdl-33537443

ABSTRACT

Cerasus fengyangshanica is a wild flowering cherry endemic to Mount Fengyang, China. Here, we reported the complete chloroplast (cp) genome of C. fengyangshanica (GenBank accession number: MW160272). The cp genome was 157,964 bp long, with a large single-copy region (LSC) of 85,972 bp and a small single-copy region (SSC) of 19,086 bp separated by a pair of inverted repeats (IRs) of 26,453 bp. It encodes 129 genes, including 84 protein-coding genes, 37 tRNA genes, and 8 ribosomal RNA genes. We also reconstructed the phylogeny of Prunus sensu lato using maximum likelihood (ML) method, including our data and previously reported cp genomes of related taxa. The phylogenetic analysis indicated that C. fengyangshanica is closely related with Prunus maximowiczii.

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