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Plant interactions control the carbon distribution of Dodonaea viscosa in karst regions

Biomass and carbon (C) distribution are suggested as strategies of plant responses to resource stress. Understanding the distribution patterns of biomass and C is the key to vegetation restoration in fragile ecosystems, however, there is limited understanding of the intraspecific biomass and C distr...

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Autores principales: Wang, Genzhu, Tang, Guoyong, Pang, Danbo, Liu, Yuguo, Wan, Long, Zhou, Jinxing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8610255/
https://www.ncbi.nlm.nih.gov/pubmed/34813624
http://dx.doi.org/10.1371/journal.pone.0260337
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author Wang, Genzhu
Tang, Guoyong
Pang, Danbo
Liu, Yuguo
Wan, Long
Zhou, Jinxing
author_facet Wang, Genzhu
Tang, Guoyong
Pang, Danbo
Liu, Yuguo
Wan, Long
Zhou, Jinxing
author_sort Wang, Genzhu
collection PubMed
description Biomass and carbon (C) distribution are suggested as strategies of plant responses to resource stress. Understanding the distribution patterns of biomass and C is the key to vegetation restoration in fragile ecosystems, however, there is limited understanding of the intraspecific biomass and C distributions of shrubs resulting from plant interactions in karst areas. In this study, three vegetation restoration types, a Dodonaea viscosa monoculture (DM), a Eucalyptus maideni and D. viscosa mixed-species plantation (EDP) and a Pinus massoniana and D. viscosa mixed-species plantation (PDP), were selected to determine the effects of plant interactions on the variations in the C distributions of D. viscosa among the three vegetation restoration types following 7 years of restoration. The results showed that: (1) plant interactions decreased the leaf biomass fraction. The interaction of P. massoniana and D. viscosa decreased the branch biomass fraction and increased the stem and root biomass fraction, but not the interaction of E. maideni and D. viscosa. Plant interactions changed the C concentrations of stems and roots rather than those of leaves and branches. (2) Plant interactions affected the soil nutrients and forest characteristics significantly. Meanwhile, the biomass distribution was affected by soil total nitrogen, clumping index and gap fraction; the C concentrations were influenced by the leaf area index and soil total phosphorus. (3) The C storage proportions of all the components correlated significantly with the proportion of biomass. Our results suggested that both the biomass distribution and C concentration of D. viscosa were affected by plant interactions, however, the biomass fraction not the C concentration determines the C storage fraction characteristics for D. viscosa.
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spelling pubmed-86102552021-11-24 Plant interactions control the carbon distribution of Dodonaea viscosa in karst regions Wang, Genzhu Tang, Guoyong Pang, Danbo Liu, Yuguo Wan, Long Zhou, Jinxing PLoS One Research Article Biomass and carbon (C) distribution are suggested as strategies of plant responses to resource stress. Understanding the distribution patterns of biomass and C is the key to vegetation restoration in fragile ecosystems, however, there is limited understanding of the intraspecific biomass and C distributions of shrubs resulting from plant interactions in karst areas. In this study, three vegetation restoration types, a Dodonaea viscosa monoculture (DM), a Eucalyptus maideni and D. viscosa mixed-species plantation (EDP) and a Pinus massoniana and D. viscosa mixed-species plantation (PDP), were selected to determine the effects of plant interactions on the variations in the C distributions of D. viscosa among the three vegetation restoration types following 7 years of restoration. The results showed that: (1) plant interactions decreased the leaf biomass fraction. The interaction of P. massoniana and D. viscosa decreased the branch biomass fraction and increased the stem and root biomass fraction, but not the interaction of E. maideni and D. viscosa. Plant interactions changed the C concentrations of stems and roots rather than those of leaves and branches. (2) Plant interactions affected the soil nutrients and forest characteristics significantly. Meanwhile, the biomass distribution was affected by soil total nitrogen, clumping index and gap fraction; the C concentrations were influenced by the leaf area index and soil total phosphorus. (3) The C storage proportions of all the components correlated significantly with the proportion of biomass. Our results suggested that both the biomass distribution and C concentration of D. viscosa were affected by plant interactions, however, the biomass fraction not the C concentration determines the C storage fraction characteristics for D. viscosa. Public Library of Science 2021-11-23 /pmc/articles/PMC8610255/ /pubmed/34813624 http://dx.doi.org/10.1371/journal.pone.0260337 Text en © 2021 Wang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Wang, Genzhu
Tang, Guoyong
Pang, Danbo
Liu, Yuguo
Wan, Long
Zhou, Jinxing
Plant interactions control the carbon distribution of Dodonaea viscosa in karst regions
title Plant interactions control the carbon distribution of Dodonaea viscosa in karst regions
title_full Plant interactions control the carbon distribution of Dodonaea viscosa in karst regions
title_fullStr Plant interactions control the carbon distribution of Dodonaea viscosa in karst regions
title_full_unstemmed Plant interactions control the carbon distribution of Dodonaea viscosa in karst regions
title_short Plant interactions control the carbon distribution of Dodonaea viscosa in karst regions
title_sort plant interactions control the carbon distribution of dodonaea viscosa in karst regions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8610255/
https://www.ncbi.nlm.nih.gov/pubmed/34813624
http://dx.doi.org/10.1371/journal.pone.0260337
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