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Ma Y, Feng S, Huang Q, Liu Q, Zhang Y, Niu Y. Distribution characteristics of soil carbon density and influencing factors in Qinghai-Tibet Plateau region. Environ Geochem Health 2024; 46:152. [PMID: 38578358 DOI: 10.1007/s10653-024-01945-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 02/27/2024] [Indexed: 04/06/2024]
Abstract
The Qinghai-Tibet Plateau has low anthropogenic carbon emissions and large carbon stock in its ecosystems. As a crucial region in terrestrial ecosystems responding to climate change, an accurate understanding of the distribution characteristics of soil carbon density holds significance in estimating the soil carbon storage capacity in forests and grasslands. It performs a crucial role in achieving carbon neutrality goals in China. The distribution characteristics of carbon and carbon density in the surface, middle, and deep soil layers are calculated, and the main influencing factors of soil carbon density changes are analyzed. The carbon density in the surface soil ranges from a minimum of 1.62 kg/m2 to a maximum of 52.93 kg/m2. The coefficient of variation for carbon is 46%, indicating a considerable variability in carbon distribution across different regions. There are substantial disparities, with geological background, land use types, and soil types significantly influencing soil organic carbon density. Alpine meadow soil has the highest carbon density compared with other soil types. The distribution of soil organic carbon density at three different depths is as follows: grassland > bare land > forestland > water area. The grassland systems in the Qinghai-Tibet Plateau have considerable soil carbon sink and storage potential; however, they are confronted with the risk of grassland degradation. The grassland ecosystems on the Qinghai-Tibet Plateau harbor substantial soil carbon sinks and storage potential. However, they are at risk of grassland degradation. It is imperative to enhance grassland management, implement sustainable grazing practices, and prevent the deterioration of the grassland carbon reservoirs to mitigate the exacerbation of greenhouse gas emissions and global warming. This highlights the urgency of implementing more studies to uncover the potential of existing grassland ecological engineering projects for carbon sequestration.
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Affiliation(s)
- Ying Ma
- Fifth Institute of Geological and Exploration of Qinghai Province, Xining, 810000, China
| | - Siyao Feng
- College of Resources and Environment, Yangtze University, 111 University Road, Wuhan, China
| | - Qiang Huang
- Fifth Institute of Geological and Exploration of Qinghai Province, Xining, 810000, China
| | - Qingyu Liu
- Fifth Institute of Geological and Exploration of Qinghai Province, Xining, 810000, China
| | - Yuqi Zhang
- College of Resources and Environment, Yangtze University, 111 University Road, Wuhan, China.
| | - Yao Niu
- Fifth Institute of Geological and Exploration of Qinghai Province, Xining, 810000, China
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Cao Z, Zhang J, Gou X, Wang Y, Sun Q, Yang J, Manzanedo RD, Pederson N. Increasing forest carbon sinks in cold and arid northeastern Tibetan Plateau. Sci Total Environ 2023; 905:167168. [PMID: 37730072 DOI: 10.1016/j.scitotenv.2023.167168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 08/21/2023] [Accepted: 09/15/2023] [Indexed: 09/22/2023]
Abstract
Arid forest lands account for 6 % of the world's forest area, but their carbon density and carbon storage capacity have rarely been assessed. Forest inventories provide estimates of forest stock and biomass carbon density, improve our understanding of the carbon cycle, and help us develop sustainable forest management policies in the face of climate change. Here, we carried out three forest inventories at five-year intervals from 2006 to 2016 in 104 permanent sample plots covering the Qinghai spruce (Picea crassifolia) distribution in the north slope of Qilian Mountains, northeastern Tibetan Plateau. Results shows that mean biomasses for Qinghai spruce were 133.80, 144.89, and 157.01 Mg ha-1 while biomass carbon densities were 65.52, 70.92, and 76.88 Mg C ha-1, in 2006, 2011, and 2016, respectively. This shows an increase in the Qinghai spruce carbon density of 17.34 % from 2006 to 2016. Both the precipitation and temperature play crucial roles on the increase of aboveground carbon density. The average carbon densities were different among forests with different ages and were higher for older forests. Our results show that the carbon sequestration rate for Qinghai spruce in the Qilian Mountains is significantly higher than the average rates of national forest parks in China, suggesting that this spruce forest has the potential to sequester a significant amount of carbon despite the general harsh growing conditions of cold and arid ecoregions. Our findings provide important insights that are helpful for the assessment of forest carbon for cold and arid lands.
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Affiliation(s)
- Zongying Cao
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China; Gansu Liancheng Forest Ecosystem Field Observation and Research Station, Lanzhou University, Lanzhou 730333, China
| | - Junzhou Zhang
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China; Gansu Liancheng Forest Ecosystem Field Observation and Research Station, Lanzhou University, Lanzhou 730333, China.
| | - Xiaohua Gou
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China; Gansu Liancheng Forest Ecosystem Field Observation and Research Station, Lanzhou University, Lanzhou 730333, China.
| | - Yuetong Wang
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China; Gansu Liancheng Forest Ecosystem Field Observation and Research Station, Lanzhou University, Lanzhou 730333, China
| | - Qipeng Sun
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China; Gansu Liancheng Forest Ecosystem Field Observation and Research Station, Lanzhou University, Lanzhou 730333, China
| | - Jiqin Yang
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China; Gansu Liancheng Forest Ecosystem Field Observation and Research Station, Lanzhou University, Lanzhou 730333, China; Liancheng National Nature Reserve in Gansu, Lanzhou 730300, China
| | - Rubén D Manzanedo
- Plant Ecology, Institute of Integrative Biology, D-USYS, ETH-Zürich, 8006 Zürich, Switzerland
| | - Neil Pederson
- Harvard Forest, Harvard University, Petersham, MA 01366, USA
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Maure LA, Diniz MF, Pacheco Coelho MT, Molin PG, Rodrigues da Silva F, Hasui E. Biodiversity and carbon conservation under the ecosystem stability of tropical forests. J Environ Manage 2023; 345:118929. [PMID: 37690251 DOI: 10.1016/j.jenvman.2023.118929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 08/19/2023] [Accepted: 09/01/2023] [Indexed: 09/12/2023]
Abstract
Although efforts to protect high levels of biodiversity and carbon storage can greatly increase the effectiveness of species loss and climate change mitigation, there is evidence indicating a trade-off scenario for their conservation at regional scale. Decisions making in trade-off scenarios can be supported by including information on the ecosystem stability of tropical forests (i.e., the ability of the ecosystem to maintain its function over time). Forest stability may affect biodiversity integrity and the residence time of carbon stored in tree biomass. Here, we assess the stability of old-growth forests' productivity by analyzing a 19-year time series of the Normalized Difference Vegetation Index (NDVI). We also used geoprocessing tools to analyze the overlap among forest-specialist vertebrate species richness, carbon density, and stability of old-growth forest throughout the Brazilian Atlantic Forest. We used model selection to find environmental predictors of the stability of primary productivity and build a predictive map of potential stability. Then, we overlapped maps of potential stability, species richness of forest-specialist vertebrates, and carbon density to identify hotspot areas of biodiversity and carbon density occurring at highest and lowest potential stability. We found that forest stability increases from north to south along the Atlantic Forest. High biodiversity occurs mainly at low stability while high carbon stock at high stability. Spatial overlap of the hotspots, where conservation co-benefits high biodiversity and carbon stock, occurs mostly at high stability in a large area along part of the coast and in smaller inland areas of the southern region. Most of the hotspots with low stability for biodiversity, carbon stock and combination of both are found in unprotected areas. Hence, the strategic mitigation of species loss and carbon emissions lies in three approaches: prioritizing forest protection in unprotected hotspots; implementing forest management practices in protected hotspots with low stability; and enforcing a comprehensive regime of protection and management in hotspots that exhibit low stability. Focused on forest stability, these approaches involve ecosystem-based planning offering Brazil's government effective strategies to fulfill its commitments in biodiversity conservation and carbon emission reduction.
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Affiliation(s)
- Lucas Andrigo Maure
- Programa de Pós-graduação Em Ecologia e Recursos Naturais (PPGERN), Universidade Federal de São Carlos, São Carlos, SP, Brazil; Laboratório de Ecologia Teórica: Integrando Tempo, Biologia e Espaço (LET.IT.BE), Departamento de Ciências Ambientais, Universidade Federal de São Carlos, Sorocaba, SP, Brazil
| | - Milena Fiuza Diniz
- Departamento de Ecologia, Universidade Federal de Goiás, Goânia, GO, Brazil
| | | | - Paulo Guilherme Molin
- Centro de Ciências da Natureza, Universidade Federal de São Carlos, Buri, SP, Brazil
| | - Fernando Rodrigues da Silva
- Laboratório de Ecologia Teórica: Integrando Tempo, Biologia e Espaço (LET.IT.BE), Departamento de Ciências Ambientais, Universidade Federal de São Carlos, Sorocaba, SP, Brazil
| | - Erica Hasui
- Laboratório de Ecologia de Fragmentos (EcoFrag), Instituto de Ciências da Natureza, Universidade Federal de Alfenas-MG, Brazil.
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Li X, Jia B, Li F, Ma J, Liu X, Feng F, Liu H. Effects of multi-scale structure of blue-green space on urban forest carbon density: Beijing, China case study. Sci Total Environ 2023; 883:163682. [PMID: 37100128 DOI: 10.1016/j.scitotenv.2023.163682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Revised: 03/24/2023] [Accepted: 04/19/2023] [Indexed: 06/03/2023]
Abstract
Landscape structure influences the amount of carbon that can be stored in an ecosystem. Currently, majority of research have been focused on the responses of landscape structure and functional relationships to urbanization, and few have specifically focused on blue-green space. In this study, Beijing was used as a case study to explore the relationship among the blue-green spatial planning structure of green belts, green wedges and green ways, the landscape configuration of blue-green element and carbon storage of urban forest. The blue-green elements were classified using high-resolution remote sensing images (0.8 m) and the above-ground carbon storage estimations of urban forest based on 1307 field survey samples. The results show that green belts and green wedges have a higher coverage percentage of blue-green space and big blue-green patches than that of built-up areas. However, they have lower carbon density in urban forests. The shannon's diversity index of blue-green space was found to have a binary relationship with carbon density, in which, urban forests and water bodies were the key combination in increasing carbon density. The presence of water bodies in urban forests increases the carbon density to up to 1000 m. The effect of farmland and grassland on carbon density was found to be uncertain. With this, this study provides basis for sustainable planning and management of blue-green spaces.
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Affiliation(s)
- Xiaoting Li
- Department of Landscape Architecture, School of Architecture, Tsinghua University, Beijing 100084, PR China; Ecological Restoration Research Center, School of Architecture, Tsinghua University, Beijing 100084, PR China.
| | - Baoquan Jia
- Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, PR China; Research Center of Urban Forest of National Forestry and Grassland Administration, Beijing 100091, PR China.
| | - Feng Li
- Department of Landscape Architecture, School of Architecture, Tsinghua University, Beijing 100084, PR China; Ecological Restoration Research Center, School of Architecture, Tsinghua University, Beijing 100084, PR China.
| | - Jie Ma
- Henan Institute of Science and Technology, Henan 453003,PR China.
| | - Xiuping Liu
- Beijing Urban Ecosystem Positioning Observation and Research Station, Beijing 100102, PR China; Beijing Key Laboratory of Ecological Function Assessment and Regulation Technology of Green Space, Beijing 100102, PR China; Beijing Academy of Forestry and Landscape Architecture, Beijing 100102, PR China.
| | - Fei Feng
- Research Center for Urban Forestry, College of Forestry, Beijing Forestry University, Beijing 100083, PR China; State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100088, PR China.
| | - Hailong Liu
- Department of Landscape Architecture, School of Architecture, Tsinghua University, Beijing 100084, PR China.
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Guo Z, Chen W, Chen Q, Liu X, Hong S, Zhu X, Gong H. Biomass distribution pattern and stoichiometric characteristics in main shrub ecosystems in Central Yunnan, China. PeerJ 2022; 10:e13005. [PMID: 35251784 PMCID: PMC8893025 DOI: 10.7717/peerj.13005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 02/03/2022] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND With the exacerbating effects of the global climate change and the more and more attention to the study of plant carbon sink, an increasing number of researches on plant carbon sinks has grown. Although many studies exist on shrub vegetation, soil and litters, most studies focus on the community structure, biomass, surface soil of single plant and shrub layer vegetation, and lack the studies which included the potential relationships between climate change and ecological stoichiometric elements, comprehensive research on main species, even herb and litter layer. In order to provide relevant theoretical basis and data support, it is necessary to take the main terrestrial shrub ecosystem in Central Yunnan as the starting point to analyze and explore its carbon sink distribution characteristics, formation causes, the correlation between climatic factors (temperature and precipitation) and stoichiometric elements, which from community and species levels. METHODS Plants which originated from 12 main shrub species, litter and soil samples which collected in 69 plots were from 23 plots (Q1-Q23) of 11 cities (countries) in the central Yunnan, China. The biomass and carbon density distribution pattern of each shrub ecosystem and the potential correlations with main climate factors was explored and identified. Some indexes were analyzed such as biomass and carbon density of each part of the shrub ecosystem distribution pattern, correlation, significant changes, formation reasons with the mean value (±standard deviation: SD). Through the redundancy analysis(RDA) of carbon (c), nitrogen (n), phosphorus (P) and main climate factors (precipitation and temperature), the distribution pattern of stoichiometric elements in shrub ecosystem can be judged. RESULTS (1) The above-ground biomass (AGB), under-ground biomass (UGB) and root-shoot ratio (R/S) were between 1.13-2.03 t/hm2, 0.62-1.49 t/hm2, and 0.38-0.84, the carbon element was distributed in herb layer under-ground part and rhizomes of the shrub layer mostly. (2) The fitting slope of AGB and UGB of shrub communities and species was in accordance with the allometric distribution growth relationship, the R/S of shrubs was smaller than other vegetation types. Mean annual temperature (MAT) and mean annual precipitation (MAP) are not the main factors which affect the biomass and R/S. (3) The contents of C, N and P elements in leaves were significantly higher than other parts in shrub layer. P in shrub layer above-ground part is much higher than under-ground part. The surface soil layer has the highest C content, and decreased with the depth, so as the impact of vegetation and litter on the content of soil elements. Both of the correlation of MAT with N content of leaf, C/N of stem, the correlation of MAP with C content, C/N of soil is the greatest.
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Affiliation(s)
- Zihao Guo
- School of Geography and Ecotourism, Southwest Forestry University, Kunming, Yunnan, People’s Republic of China
| | - Wei Chen
- College of Landscape Architecture and Horticulture Science, Southwest Forestry University, Kunming, Yunnan, People’s Republic of China
| | - Qianwei Chen
- Green Development Research Institute, Southwest Forestry University, Kunming, Yunnan, People’s Republic of China
| | - Xingyue Liu
- School of Geography and Ecotourism, Southwest Forestry University, Kunming, Yunnan, People’s Republic of China
| | - Sisi Hong
- School of Geography and Ecotourism, Southwest Forestry University, Kunming, Yunnan, People’s Republic of China
| | - Xiuwen Zhu
- School of Geography and Ecotourism, Southwest Forestry University, Kunming, Yunnan, People’s Republic of China
| | - Hede Gong
- School of Geography and Ecotourism, Southwest Forestry University, Kunming, Yunnan, People’s Republic of China
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6
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Mumcu Kucuker D. Spatiotemporal changes of carbon storage in forest carbon pools of Western Turkey: 1972-2016. Environ Monit Assess 2020; 192:555. [PMID: 32740772 DOI: 10.1007/s10661-020-08431-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2019] [Accepted: 06/18/2020] [Indexed: 06/11/2023]
Abstract
This study analyzes the impacts of spatiotemporal changes on C dynamics based on the various C pools and forest structure in western Turkey. The forest C dynamics were projected by forest inventory data between 1972 and 2016, and the spatial distribution of C storage was mapped by GIS. Total C storage increased from 1135.22 Gg in 1972 to 1816.60 Gg in 2016 with a net accumulation of 681.38 Gg. While the largest contribution to C pool was from soil organic carbon with 58.6% and 49.3% of the total C storage in 1972 and 1994, it was from living biomass with 54.0% and 57.7% in 2004 and 2016, respectively. The mean annual C sequestration was 1.57 Mg ha-1 year-1, including 1.49 Mg ha-1 year-1 in biomass and 0.08 Mg ha-1 year-1 in soil over four decades. The mixed cover type was the most significant contributor to biomass, soil, and total C storages. However, the hardwood cover type was the most significant contributor to C densities due to the higher growing stock. The mature development stages (35.6 Gg year-1), the fully covered areas (13.2 Gg year-1), and the older forests have played an essential role in C sequestration. The spatial distribution of C dynamics was heterogenic due to forest cover type, forest structure, and species composition. Monitoring spatiotemporal changes in forest ecosystems in terms of forest cover type, development stage, coverages, and age class distribution can provide opportunities in developing effective forest management policies based on the ecological sustainability of C pools and mitigating climate change effects.
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Affiliation(s)
- Derya Mumcu Kucuker
- Faculty of Forestry, Karadeniz Technical University, 61080, Trabzon, Turkey.
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Di Marco M, Watson JEM, Currie DJ, Possingham HP, Venter O. The extent and predictability of the biodiversity-carbon correlation. Ecol Lett 2018; 21:365-375. [PMID: 29314473 DOI: 10.1111/ele.12903] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Accepted: 11/27/2017] [Indexed: 01/19/2023]
Abstract
Protecting biomass carbon stocks to mitigate climate change has direct implications for biodiversity conservation. Yet, evidence that a positive association exists between carbon density and species richness is contrasting. Here, we test how this association varies (1) across spatial extents and (2) as a function of how strongly carbon and species richness depend on environmental variables. We found the correlation weakens when moving from larger extents, e.g. realms, to narrower extents, e.g. ecoregions. For ecoregions, a positive correlation emerges when both species richness and carbon density vary as functions of the same environmental variables (climate, soil, elevation). In 20% of tropical ecoregions, there are opportunities to pursue carbon conservation with direct biodiversity co-benefits, while other ecoregions require careful planning for both species and carbon to avoid potentially perverse outcomes. The broad assumption of a linear relationship between carbon and biodiversity can lead to undesired outcomes.
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Affiliation(s)
- Moreno Di Marco
- CSIRO Land & Water, EcoSciences Precinct, 41 Boggo Road, Dutton Park Qld, 4102, Australia.,Centre for Biodiversity and Conservation Science, The University of Queensland, 4072, Brisbane, Qld., Australia
| | - James E M Watson
- Centre for Biodiversity and Conservation Science, The University of Queensland, 4072, Brisbane, Qld., Australia.,Global Conservation Program, Wildlife Conservation Society, 2300 Southern Boulevard, Bronx, NY, 10460, USA
| | - David J Currie
- Biology Department, University of Ottawa, 30 Marie Curie Priv. Ottawa, ON, K1N6N5, Canada
| | - Hugh P Possingham
- Centre for Biodiversity and Conservation Science, The University of Queensland, 4072, Brisbane, Qld., Australia.,The Nature Conservancy, 4245 North Fairfax Drive, Suite 100 Arlington, VA, 22203-1606, USA
| | - Oscar Venter
- Natural Resource and Environmental Studies Institute, University of Northern British Columbia, 3333 University Way, Prince George, V2N 4Z9, Canada
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Nizami SM, Yiping Z, Zheng Z, Zhiyun L, Guoping Y, Liqing S. Evaluation of forest structure, biomass and carbon sequestration in subtropical pristine forests of SW China. Environ Sci Pollut Res Int 2017; 24:8137-8146. [PMID: 28144865 DOI: 10.1007/s11356-017-8506-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2016] [Accepted: 01/24/2017] [Indexed: 06/06/2023]
Abstract
Very old natural forests comprising the species of Fagaceae (Lithocarpus xylocarpus, Castanopsis wattii, Lithocarpus hancei) have been prevailing since years in the Ailaoshan Mountain Nature Reserve (AMNR) SW China. Within these forest trees, density is quite variable. We studied the forest structure, stand dynamics and carbon density at two different sites to know the main factors which drives carbon sequestration process in old forests by considering the following questions: How much is the carbon density in these forest trees of different DBH (diameter at breast height)? How much carbon potential possessed by dominant species of these forests? How vegetation carbon is distributed in these forests? Which species shows high carbon sequestration? What are the physiochemical properties of soil in these forests? Five-year (2005-2010) tree growth data from permanently established plots in the AMNR was analysed for species composition, density, stem diameter (DBH), height and carbon (C) density both in aboveground and belowground vegetation biomass. Our study indicated that among two comparative sites, overall 54 species of 16 different families were present. The stem density, height, C density and soil properties varied significantly with time among the sites showing uneven distribution across the forests. Among the dominant species, L. xylocarpus represents 30% of the total carbon on site 1 while C. wattii represents 50% of the total carbon on site 2. The average C density ranged from 176.35 to 243.97 t C ha-1. The study emphasized that there is generous degree to expand the carbon stocking in this AMNR through scientific management gearing towards conservation of old trees and planting of potentially high carbon sequestering species on good site quality areas.
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Affiliation(s)
- Syed Moazzam Nizami
- Key Laboratory for Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, Yunnan, 666300, China.
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
- IMARC Karakoram International University, Gilgit, Gilgit-Baltistan, 15100, Pakistan.
| | - Zhang Yiping
- Key Laboratory for Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, Yunnan, 666300, China
- Ailaoshan Station for Subtropical Forest Ecosystem Research, Yunnan, 676209, China
| | - Zheng Zheng
- Key Laboratory for Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, Yunnan, 666300, China
- Ailaoshan Station for Subtropical Forest Ecosystem Research, Yunnan, 676209, China
| | - Lu Zhiyun
- Ailaoshan Station for Subtropical Forest Ecosystem Research, Yunnan, 676209, China
| | - Yang Guoping
- Ailaoshan Station for Subtropical Forest Ecosystem Research, Yunnan, 676209, China
| | - Sha Liqing
- Key Laboratory for Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, Yunnan, 666300, China
- Ailaoshan Station for Subtropical Forest Ecosystem Research, Yunnan, 676209, China
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Ghosh S, Scharenbroch BC, Ow LF. Soil organic carbon distribution in roadside soils of Singapore. Chemosphere 2016; 165:163-172. [PMID: 27643661 DOI: 10.1016/j.chemosphere.2016.09.028] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2016] [Revised: 08/30/2016] [Accepted: 09/07/2016] [Indexed: 06/06/2023]
Abstract
Soil is the largest pool of organic carbon in terrestrial systems and plays a key role in carbon cycle. Global population living in urban areas are increasing substantially; however, the effects of urbanization on soil carbon storage and distribution are largely unknown. Here, we characterized the soil organic carbon (SOC) in roadside soils across the city-state of Singapore. We tested three hypotheses that SOC contents (concentration and density) in Singapore would be positively related to aboveground tree biomass, soil microbial biomass and land-use patterns. Overall mean SOC concentrations and densities (0-100 cm) of Singapore's roadside soils were 29 g kg-1 (4-106 g kg-1) and 11 kg m-2 (1.1-42.5 kg m-2) with median values of 26 g kg-1 and 10 kg m-2, respectively. There was significantly higher concentration of organic carbon (10.3 g kg-1) in the top 0-30 cm soil depth compared to the deeper (30-50 cm, and 50-100 cm) soil depths. Singapore's roadside soils represent 4% of Singapore's land, but store 2.9 million Mg C (estimated range of 0.3-11 million Mg C). This amount of SOC is equivalent to 25% of annual anthropogenic C emissions in Singapore. Soil organic C contents in Singapore's soils were not related to aboveground vegetation or soil microbial biomass, whereas land-use patterns to best explain variance in SOC in Singapore's roadside soils. We found SOC in Singapore's roadside soils to be inversely related to urbanization. We conclude that high SOC in Singapore roadside soils are probably due to management, such as specifications of high quality top-soil, high use of irrigation and fertilization and also due to an optimal climate promoting rapid growth and biological activity.
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Affiliation(s)
- Subhadip Ghosh
- Centre for Urban Greenery and Ecology, National Parks Board, 259569, Singapore; School of Environmental and Rural Science, University of New England, Armidale, NSW, 2351, Australia.
| | - Bryant C Scharenbroch
- College of Natural Resources, University of Wisconsin - Stevens Point, Stevens Point, WI, 54481, USA; The Morton Arboretum, 4100 Illinois Route 53, Illinois, 60532, USA
| | - Lai Fern Ow
- Centre for Urban Greenery and Ecology, National Parks Board, 259569, Singapore
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Niu L, Manxia C, Xiumei G, Xiaohua L, Hongbo S, Zhaopu L, Zed R. Carbon sequestration and Jerusalem artichoke biomass under nitrogen applications in coastal saline zone in the northern region of Jiangsu, China. Sci Total Environ 2016; 568:885-890. [PMID: 27317133 DOI: 10.1016/j.scitotenv.2016.06.074] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2016] [Revised: 06/11/2016] [Accepted: 06/11/2016] [Indexed: 06/06/2023]
Abstract
Agriculture is an important source of greenhouse gases, but can also be a significant sink. Nitrogen fertilization is effective in increasing agricultural production and carbon storage. We explored the effects of different rates of nitrogen fertilization on biomass, carbon density, and carbon sequestration in fields under the cultivation of Jerusalem artichoke as well as in soil in a coastal saline zone for two years. Five nitrogen fertilization rates were tested (in guream(-2)): 4 (N1), 8 (N2), 12 (N3), 16 (N4), and 0 (control, CK). The biomass of different organs of Jerusalem artichoke during the growth cycle was significantly higher in N2 than the other treatments. Under different nitrogen treatments, carbon density in organs of Jerusalem artichoke ranged from 336 to 419gCkg(-1). Carbon sequestration in Jerusalem artichoke was higher in treatments with nitrogen fertilization compared to the CK treatment. The highest carbon sequestration was found in the N2 treatment. Soil carbon content was higher in the 0-10cm than 10-20cm layer, with nitrogen fertilization increasing carbon content in both soil layers. The highest soil carbon sequestration was measured in the N2 treatment. Carbon sequestration in both soil and Jerusalem artichoke residue was increased by nitrogen fertilization depending on the rates in the coastal saline zone studied.
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Affiliation(s)
- Li Niu
- Jiangsu Provincial Key Laboratory of Marine Biology, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, China
| | - Chen Manxia
- Jiangsu Provincial Key Laboratory of Marine Biology, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, China
| | - Gao Xiumei
- Jiangsu Provincial Key Laboratory of Marine Biology, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, China
| | - Long Xiaohua
- Jiangsu Provincial Key Laboratory of Marine Biology, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, China.
| | - Shao Hongbo
- Institute of Agro-biotechnology, Jiangsu Academy of Agriculture Sciences, Nanjing 210014, China; Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China.
| | - Liu Zhaopu
- Jiangsu Provincial Key Laboratory of Marine Biology, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, China
| | - Rengel Zed
- Soil Science and Plant Nutrition, School of Earth and Environment, The University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia
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