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Xi H, Li T. Unveiling the spatiotemporal dynamics and influencing factors of carbon stocks in the yangtze river basin over the past two decades. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 954:176261. [PMID: 39277012 DOI: 10.1016/j.scitotenv.2024.176261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Revised: 09/09/2024] [Accepted: 09/11/2024] [Indexed: 09/17/2024]
Abstract
Terrestrial ecosystems are critical to the global carbon cycle and climate change mitigation. Over the past two decades, the Yangtze River Basin (YRB) has implemented various ecological restoration projects and active management measures, significantly impacting carbon stock patterns. This study employed random forest models to analyze the spatial and temporal patterns of carbon stocks in the YRB from 2001 to 2021. In 2021, carbon density in the YRB ranged from 8.5 to 177.4 MgC/ha, with a total carbon stock of 18.05 PgC. Over 20 years, the YRB sequestered 1.26 billion tons of carbon, accounting for 11.28 % of the region's fossil fuel carbon emissions. Notably, forests exhibited the highest carbon density, averaging 98.01 ± 25.01 MgC/ha (2021) with a carbon stock growth rate of 51.6 TgC/yr. Piecewise structural equation model was used to assess the effects of climate and human activities on carbon density, revealing regional variability, with unique patterns observed in the source region. Human activities primarily influence carbon density indirectly through vegetation alterations., while climate change directly impacts ecosystem biophysical processes. These findings offer critical insights for climate mitigation and adaptation strategies, enhancing the understanding of carbon dynamics for sustainable development and global carbon management.
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Affiliation(s)
- Haojun Xi
- College of Environmental Science and Engineering, Peking University, Beijing 100871, China; State Environmental Protection Key Laboratory of All Material Fluxes in River Ecosystems, Beijing 100871, China
| | - Tianhong Li
- College of Environmental Science and Engineering, Peking University, Beijing 100871, China; State Environmental Protection Key Laboratory of All Material Fluxes in River Ecosystems, Beijing 100871, China.
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2
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Song J, Wan S, Zhang K, Hong S, Xia J, Piao S, Wang YP, Chen J, Hui D, Luo Y, Niu S, Ru J, Xu H, Zheng M, Liu W, Wang H, Tan M, Zhou Z, Feng J, Qiu X. Ecological restoration enhances dryland carbon stock by reducing surface soil carbon loss due to wind erosion. Proc Natl Acad Sci U S A 2024; 121:e2416281121. [PMID: 39514308 DOI: 10.1073/pnas.2416281121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2024] [Accepted: 09/24/2024] [Indexed: 11/16/2024] Open
Abstract
Enhancing terrestrial carbon (C) stock through ecological restoration, one of the prominent approaches for natural climate solutions, is conventionally considered to be achieved through an ecological pathway, i.e., increased plant C uptake. By conducting a comprehensive regional survey of 4279 1 × 1 m2 plots at 517 sites across China's drylands and a 13-y manipulative experiment in a semiarid grassland within the same region, we show that greater soil and ecosystem C stocks in restored than degraded lands result predominantly from decreased surface soil C loss via suppressed wind erosion. This biophysical pathway is always overlooked in model evaluation of land-based C mitigation strategies. Surprisingly, stimulated plant growth plays a minor role in regulating C stocks under ecological restoration. In addition, the overall enhancement of C stocks in the restored lands increases with both initial degradation intensity and restoration duration. At the national scale, the rate of soil C accumulation (7.87 Tg C y-1) due to reduced wind erosion and surface soil C loss under dryland restoration is equal to 38.8% of afforestation and 56.2% of forest protection in China. Incorporating this unique but largely missed biophysical C-conserving mechanism into land surface models will greatly improve global assessments of the potential of land restoration for mitigating climate change.
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Affiliation(s)
- Jian Song
- School of Life Sciences/Hebei Basic Science Center for Biotic Interaction, Institute of Life Science and Green Development, Hebei University, Baoding, Hebei 071002, China
| | - Shiqiang Wan
- School of Life Sciences/Hebei Basic Science Center for Biotic Interaction, Institute of Life Science and Green Development, Hebei University, Baoding, Hebei 071002, China
| | - Kesheng Zhang
- Luoyang Institute of Science and Technology, Luoyang, Henan 471023, China
| | - Songbai Hong
- School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
| | - Jianyang Xia
- Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, State Key Laboratory of Estuarine and Coastal Research, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China
- Research Center for Global Change and Complex Ecosystems, Institute of Eco-Chongming, East China Normal University, Shanghai 200241, China
| | - Shilong Piao
- Institute of Carbon Neutrality, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment, Institute of Tibetan Plateau Research, Chinese Academy of Science, Beijing 100085, China
| | - Ying-Ping Wang
- Commonwealth Scientific and Industrial Research Organisation (CSIRO) Environment, Clayton South, VIC 3169, Australia
| | - Jiquan Chen
- Center for Global Change and Earth Observations, Department of Geography, Environment and Spatial Sciences, Michigan State University, East Lansing, MI 48823
| | - Dafeng Hui
- Department of Biological Sciences, Tennessee State University, Nashville, TN 37209
| | - Yiqi Luo
- School of Integrative Plant Science, College of Agriculture and Life Sciences, Cornell University, Ithaca, NY 14850
| | - Shuli Niu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100085, China
| | - Jingyi Ru
- School of Life Sciences/Hebei Basic Science Center for Biotic Interaction, Institute of Life Science and Green Development, Hebei University, Baoding, Hebei 071002, China
| | - Hao Xu
- Institute of Carbon Neutrality, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Mengmei Zheng
- College of Life Sciences, Henan Normal University, Xinxiang, Henan 453007, China
| | - Weixing Liu
- State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 10081, China
| | - Haidao Wang
- School of Life Sciences/Hebei Basic Science Center for Biotic Interaction, Institute of Life Science and Green Development, Hebei University, Baoding, Hebei 071002, China
| | - Menghao Tan
- School of Life Sciences/Hebei Basic Science Center for Biotic Interaction, Institute of Life Science and Green Development, Hebei University, Baoding, Hebei 071002, China
| | - Zhenxing Zhou
- School of Life Sciences/Hebei Basic Science Center for Biotic Interaction, Institute of Life Science and Green Development, Hebei University, Baoding, Hebei 071002, China
| | - Jiayin Feng
- School of Life Sciences/Hebei Basic Science Center for Biotic Interaction, Institute of Life Science and Green Development, Hebei University, Baoding, Hebei 071002, China
| | - Xueli Qiu
- School of Life Sciences/Hebei Basic Science Center for Biotic Interaction, Institute of Life Science and Green Development, Hebei University, Baoding, Hebei 071002, China
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3
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Han Z, Qiao X, Lin S, Wang J, Zhang C, von Gadow K. Biodiversity and anthropogenic disturbances predominantly drive carbon sequestration rates across temporal scales in temperate forests. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 371:123243. [PMID: 39509983 DOI: 10.1016/j.jenvman.2024.123243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Revised: 10/18/2024] [Accepted: 11/02/2024] [Indexed: 11/15/2024]
Abstract
Addressing the escalating challenges of climate change necessitates a comprehensive understanding of the factors influencing carbon sequestration rates (CSRs) in forest ecosystems. Although the impact of various biotic factors, environmental, and anthropogenic factors on CSRs over different time scales is well recognized, their precise roles remain poorly defined. This study aims to clarify the mechanistic relationships between CSRs and these factors in large-scale natural temperate forests in northeastern China. We employed linear mixed-effects models and piecewise structural equation models were to analyze data from 310 vegetation plots, assessing the effects of biotic factors (including multidimensional diversity, structural diversity, and community-weighted mean (CWM) trait values) and abiotic factors (climate, topography, and anthropogenic disturbances) across different forest types and successional stages. Our analysis tested a series of hypotheses to identify the principal drivers of forest CSRs. The results indicate that while functional composition and standard environmental factors such as mean annual temperature and slope are significant, their influence is markedly less than that of biodiversity (encompassing multidimensional and structural diversity) and anthropogenic disturbance (as measured by the Human Modification Index). These findings support the dominance of the niche complementarity theory and the moderate disturbance hypothesis, with their importance increasing over time. Furthermore, this study advocates for forest management strategies that are specifically tailored to the unique characteristics of mixed and dense forests at different stages of succession. By elucidating the complex relationships between ecological variables and CSRs, our findings provide critical insights for the development of effective strategies aimed at optimizing forest carbon sequestration. This study underscores the necessity of integrating sustainable forest management with the conservation of ecological biodiversity.
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Affiliation(s)
- Zhuoxiu Han
- State Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University, Beijing, China; Research Center of Forest Management Engineering of State Forestry and Grassland Administration, Beijing Forestry University, Beijing, China
| | - Xuetao Qiao
- State Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University, Beijing, China; Research Center of Forest Management Engineering of State Forestry and Grassland Administration, Beijing Forestry University, Beijing, China
| | - Senxuan Lin
- State Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University, Beijing, China; Research Center of Forest Management Engineering of State Forestry and Grassland Administration, Beijing Forestry University, Beijing, China
| | - Juan Wang
- State Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University, Beijing, China; Research Center of Forest Management Engineering of State Forestry and Grassland Administration, Beijing Forestry University, Beijing, China.
| | - Chunyu Zhang
- State Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University, Beijing, China; Research Center of Forest Management Engineering of State Forestry and Grassland Administration, Beijing Forestry University, Beijing, China
| | - Klaus von Gadow
- Faculty of Forestry and Forest Ecology, Georg-August-University Göttingen, Göttingen, Germany; Department of Forest and Wood Science, University of Stellenbosch, Stellenbosch, South Africa
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4
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Ning S, He X, Ma T, Yan T. Attenuated asymmetry of above- versus belowground stoichiometry to a decadal nitrogen addition during stand development. Ecology 2024:e4458. [PMID: 39462766 DOI: 10.1002/ecy.4458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 07/07/2024] [Accepted: 08/28/2024] [Indexed: 10/29/2024]
Abstract
Deciphering the linkage between ecological stoichiometry and ecosystem functioning under anthropogenic nitrogen (N) deposition is critical for understanding the impact of afforestation on terrestrial carbon (C) sequestration. However, the specific changes in above- versus belowground stoichiometric asymmetry with stand age in response to long-term N addition remain poorly understood. In this study, we investigated changes in stoichiometry following a decadal addition of three levels of N (control, no N addition; low N addition, 20 kg N ha-1 year-1; high N addition, 50 kg N ha-1 year-1) in young, intermediate, and mature stands in three temperate larch plantations (Larix principis-rupprechtii) in North China. We found that low N addition had no impact on both above- (leaf and litter) and belowground (soil and microbe) stoichiometry. In contrast, high N addition resulted in significant asymmetry in above- versus belowground stoichiometry, which then diminished during stand development. Following 10 years of N inputs, the young and intermediate plantations transitioned from a state of relative N limitation to co-limitation by both N and phosphorus (P), whereas the mature plantation continued to experience relative N limitation. Conversely, soil microorganisms exhibited relative P limitation in all three plantations. Broader niche differentiation (N limitation for trees, but P limitation for microorganisms) under long-term N input may have been responsible for the faster attainment of stoichiometric homeostasis in mature plantations than in young plantations. Our findings provide stoichiometric-based insight into the operating mechanisms of large C sinks in young forests, particularly above- versus belowground C stock asymmetry, and highlight the need to consider the role of flexible stoichiometry when forecasting future forest C sinks.
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Affiliation(s)
- Shijie Ning
- State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Xinru He
- State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Tian Ma
- State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Tao Yan
- State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
- Qingyuan Forest CERN, National Observation and Research Station, Shenyang, Liaoning, China
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5
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Zhang J, Zhang WG, Zhang XY, Li YH, Feng MM, Qi P, Huang YQ, Li R, Jiang M, Zou YC, Wu Y. Mechanisms for carbon stock driving and scenario modeling in typical mountainous watersheds of northeastern China. ENVIRONMENTAL MONITORING AND ASSESSMENT 2024; 196:798. [PMID: 39115708 DOI: 10.1007/s10661-024-12947-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Accepted: 08/01/2024] [Indexed: 09/14/2024]
Abstract
Watershed ecosystems play a pivotal role in maintaining the global carbon cycle and reducing global warming by serving as vital carbon reservoirs for sustainable ecosystem management. In this study, we based on the "quantity-mechanism-scenario" frameworks, integrate the MCE-CA-Markov and InVEST models to evaluate the spatiotemporal variations of carbon stocks in mid- to high-latitude alpine watersheds in China under historical and future climate scenarios. Additionally, the study employs the Geographic Detector model to explore the driving mechanisms influencing the carbon storage capacity of watershed ecosystems. The results showed that the carbon stock of the watershed increased by about 15.9 Tg from 1980 to 2020. Fractional Vegetation Cover (FVC), Digital Elevation Model (DEM), and Mean Annual Temperature (MAT) had the strongest explanatory power for carbon stocks. Under different climate scenarios, it was found that the SSP2-4.5 scenario had a significant rise in carbon stock from 2020 to 2050, roughly 24.1 Tg. This increase was primarily observed in the southeastern region of the watersheds, with forest and grassland effectively protected. Conversely, according to the SSP5-8.5 scenario, the carbon stock would decrease by about 50.53 Tg with the expansion of cultivated and construction land in the watershed's southwest part. Therefore, given the vulnerability of mid- to high-latitude mountain watersheds, global warming trends continue to pose a greater threat to carbon sequestration in watersheds. Our findings carry important implications for tackling potential ecological threats in mid- to high-latitude watersheds in the Northern Hemisphere and assisting policymakers in creating carbon sequestration plans, as well as for reducing climate change.
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Affiliation(s)
- Jin Zhang
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology (IGA), Chinese Academy of Sciences (CAS), Changchun, 130102, People's Republic of China
- Jilin Provincial Joint Key Laboratory of Changbai Mountains Wetland and Ecology, Changchun, 130102, People's Republic of China
- College of Chemical and Environmental Engineering, Changchun University of Science and Technology, Changchun, 130022, China
| | - Wen-Guang Zhang
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology (IGA), Chinese Academy of Sciences (CAS), Changchun, 130102, People's Republic of China.
- Jilin Provincial Joint Key Laboratory of Changbai Mountains Wetland and Ecology, Changchun, 130102, People's Republic of China.
| | - Xin-Yan Zhang
- College of Chemical and Environmental Engineering, Changchun University of Science and Technology, Changchun, 130022, China
| | - Yu-Hong Li
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology (IGA), Chinese Academy of Sciences (CAS), Changchun, 130102, People's Republic of China
- School of Geography Science, Changchun Normal University, Changchun, 130032, China
| | - Ming-Ming Feng
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology (IGA), Chinese Academy of Sciences (CAS), Changchun, 130102, People's Republic of China
- Jilin Provincial Joint Key Laboratory of Changbai Mountains Wetland and Ecology, Changchun, 130102, People's Republic of China
| | - Peng Qi
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology (IGA), Chinese Academy of Sciences (CAS), Changchun, 130102, People's Republic of China
- Jilin Provincial Joint Key Laboratory of Changbai Mountains Wetland and Ecology, Changchun, 130102, People's Republic of China
| | - Yi-Qiang Huang
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology (IGA), Chinese Academy of Sciences (CAS), Changchun, 130102, People's Republic of China
- Jilin Provincial Joint Key Laboratory of Changbai Mountains Wetland and Ecology, Changchun, 130102, People's Republic of China
| | - Rui Li
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology (IGA), Chinese Academy of Sciences (CAS), Changchun, 130102, People's Republic of China
- Jilin Provincial Joint Key Laboratory of Changbai Mountains Wetland and Ecology, Changchun, 130102, People's Republic of China
| | - Ming Jiang
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology (IGA), Chinese Academy of Sciences (CAS), Changchun, 130102, People's Republic of China
- Jilin Provincial Joint Key Laboratory of Changbai Mountains Wetland and Ecology, Changchun, 130102, People's Republic of China
| | - Yuan-Chun Zou
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology (IGA), Chinese Academy of Sciences (CAS), Changchun, 130102, People's Republic of China
- Jilin Provincial Joint Key Laboratory of Changbai Mountains Wetland and Ecology, Changchun, 130102, People's Republic of China
| | - Yi Wu
- School of Geography Science, Changchun Normal University, Changchun, 130032, China
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Zhang M, He H, Zhang L, Yu G, Ren X, Lv Y, Niu Z, Qin K, Gao Y. Increased ecological land and atmospheric CO 2 dominate the growth of ecosystem carbon sinks under the regulation of environmental conditions in national key ecological function zones in China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 366:121906. [PMID: 39032258 DOI: 10.1016/j.jenvman.2024.121906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 06/06/2024] [Accepted: 07/14/2024] [Indexed: 07/23/2024]
Abstract
Increased ecological land (IEL) such as forests and grasslands can greatly enhance ecosystem carbon sinks. Understanding the mechanisms for the magnitude of IEL-induced ecosystem carbon sinks is crucial for achieving carbon neutrality. We estimated the impact of IEL, specifically the increase in forests and grasslands, as well as global changes including atmospheric CO2 concentration, nitrogen deposition, and climate change on net ecosystem productivity (NEP) in National Key Ecological Function Zones (NKEFZs) in China using a calibrated ecological process model. The NEP in NKEFZs in China was calculated to be 119.4 Tg C yr-1, showing an increase of 42.6 Tg C yr-1 from 2001 to 2021. Compared to the slight contributions of climate change (-8.0%), nitrogen deposition (11.5%), and reduction in ecological land (-3.5%), the increase in NEP was primarily attributed to CO2 (66.5%) and IEL (33.5%). Moreover, the effect of IEL (14.8 Tg C yr-1) surpassed that of global change (13.1 Tg C yr-1) in the land use change zone. The IEL-induced NEP is significantly associated with CO2 fertilization, regulated by precipitation and nitrogen deposition. The high values of IEL-induced NEP occurred in areas with precipitation exceeding 800 mm and nitrogen deposition exceeding 25 kg N ha-1 yr-1. We recommend prioritizing the expansion of ecological land in areas with sufficient water and nutrients to enhance CO2 fertilization, while avoiding increasing ecological land in regions facing unfavorable climate change conditions. This study serves as a foundation for comprehending the NEP response to ecological restoration and global change.
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Affiliation(s)
- Mengyu Zhang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; National Ecosystem Science Data Center, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Honglin He
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; National Ecosystem Science Data Center, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100190, China.
| | - Li Zhang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; National Ecosystem Science Data Center, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100190, China
| | - Guirui Yu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100190, China
| | - Xiaoli Ren
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; National Ecosystem Science Data Center, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100190, China
| | - Yan Lv
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; National Ecosystem Science Data Center, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhong'en Niu
- School of Resources and Environmental Engineering, Ludong University, Shandong, 264025, China
| | - Keyu Qin
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; National Ecosystem Science Data Center, Beijing, 100101, China
| | - Yanni Gao
- Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
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7
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Guo Y, Han J, Bao H, Wu Y, Shen L, Xu X, Chen Z, Smith P, Abdalla M. A systematic analysis and review of soil organic carbon stocks in urban greenspaces. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 948:174788. [PMID: 39019284 DOI: 10.1016/j.scitotenv.2024.174788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 07/10/2024] [Accepted: 07/12/2024] [Indexed: 07/19/2024]
Abstract
Urban greenspaces typically refer to urban wetland, urban forest and urban turfgrass. They play a critical role in carbon sequestration by absorbing carbon from the atmosphere; however, their capacity to retain and store carbon in the form of soil organic carbon (SOC) varies significantly. This study provides a systematic analysis and review on the capacity of different urban greenspace types in retaining and storing SOC in 30 cm soil depth on a global scale. Data came from 78 publications on the subject of SOC stocks, covering different countries and climate zones. Overall, urban greenspace types exerted significant influences on the spatial pattern of SOC stocks, with the highest value of 18.86 ± 11.57 kg m-2 (mean ± standard deviation) in urban wetland, followed by urban forest (6.50 ± 3.65 kg m-2), while the lowest mean value of 4.24 ± 3.28 kg m-2 was recorded in urban turfgrass soil. Soil organic carbon stocks in each urban greenspace type were significantly affected by climate zones, management/environmental settings, and selected soil properties (i.e. soil bulk density, pH and clay content). Furthermore, our analysis showed a significantly negative correlation between SOC stocks and human footprint in urban wetland, but a significantly positive relationship in urban forest and urban turfgrass. A positive correlation between SOC stocks and human footprint indicates that increased human activity and development can enhance SOC stocks through effective management and green infrastructure. Conversely, a negative correlation suggests that improper management of human activities can degrade SOC stocks. This highlights the need for sustainable practices to maintain or enhance SOC accumulation in urban greenspaces.
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Affiliation(s)
- Yang Guo
- Research Institute for Urban Planning and Sustainability, Hangzhou City University, Hangzhou 310015, China; School of Public Affairs, Zhejiang University, Hangzhou 310058, China
| | - Jiatong Han
- College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China
| | - Haijun Bao
- Research Institute for Urban Planning and Sustainability, Hangzhou City University, Hangzhou 310015, China.
| | - Yuzhe Wu
- School of Public Affairs, Zhejiang University, Hangzhou 310058, China
| | - Liyin Shen
- Research Institute for Urban Planning and Sustainability, Hangzhou City University, Hangzhou 310015, China
| | - Xiangrui Xu
- Research Institute for Urban Planning and Sustainability, Hangzhou City University, Hangzhou 310015, China
| | - Ziwei Chen
- Research Institute for Urban Planning and Sustainability, Hangzhou City University, Hangzhou 310015, China
| | - Pete Smith
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen AB24 3UU, UK
| | - Mohamed Abdalla
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen AB24 3UU, UK
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8
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Zhang Y, Yan Y, Huang JG, Wang M. Interguild fungal competition in litter and soil inversely modulate microbial necromass accumulation during Loess Plateau forest succession. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 916:170259. [PMID: 38253096 DOI: 10.1016/j.scitotenv.2024.170259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 01/16/2024] [Accepted: 01/16/2024] [Indexed: 01/24/2024]
Abstract
Microbial interactions determine ecosystem carbon (C) and nutrient cycling, yet it remains unclear how interguild fungal interactions modulate microbial residue contribution to soil C pools (SOC) during forest succession. Here, we present a region-wide investigation of the relative dominance of saprophytic versus symbiotic fungi in litter and soil compartments, exploring their linkages to soil microbial residue pools and potential drivers along a chronosequence of secondary Chinese pine (Pinus tabulaeformis) forests on the Loess Plateau. Despite minor changes in C and nitrogen (N) stocks in the litter or soil layers across successional stages, we found significantly lower soil phosphorus (P) stocks, higher ratios of soil C: N, soil N: P and soil C: P but lower ratios of litter C: N and litter C: P in old (>75 years) than young stands (<30 years). Pine stand development altered the saprotroph: symbiotroph ratios of fungal communities to favor the soil symbiotrophs versus the litter saprotrophs. The dominance of saprotrophs in litter is positively related to microbial necromass contribution to SOC, which is negatively related to the dominance of symbiotrophs in soils. Antagonistic interguild fungal competition in litter and soil layers, in conjunction with increased fungal but decreased bacterial necromass contribution to SOC, jointly contribute to unchanged total necromass contribution to SOC with stand development. The saprotroph: symbiotroph ratios in litter and soil layers are mainly driven by soil P stocks and stand parameters (e.g., stand age and slope), respectively, while substrate stoichiometries primarily regulate microbial necromass accumulation and fungal: bacterial necromass ratios. These results provide novel insights into how microbial interactions at local spatial scales modulate temporal changes in SOC pools, with management implications for mitigating regional land degradation.
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Affiliation(s)
- Yaling Zhang
- Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, 723 Xingke Road, Tianhe District, Guangzhou 510650, China
| | - Yuqi Yan
- Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, 723 Xingke Road, Tianhe District, Guangzhou 510650, China; University of Chinese Academy of Sciences, Yanqihu East Road, Huairou District, Beijing 101400, China
| | - Jian-Guo Huang
- Key Laboratory of Conservation Biology for Endangered Wildlife of the Ministry of Education, College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Minhuang Wang
- School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China.
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Xu H, Yue C, Zhang Y, Liu D, Piao S. Forestation at the right time with the right species can generate persistent carbon benefits in China. Proc Natl Acad Sci U S A 2023; 120:e2304988120. [PMID: 37782782 PMCID: PMC10576152 DOI: 10.1073/pnas.2304988120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 08/10/2023] [Indexed: 10/04/2023] Open
Abstract
Previous evaluations on the biophysical potential of forest carbon sink have focused on forestation area distribution and the associated carbon stock for equilibrium-state forests after centuries-long growth. These approaches, however, have limited relevance for climate policies because they ignore the near-term and mid-term decadal carbon uptake dynamics and suitable forest species for forestation. This study developed a forestation roadmap to support China's "carbon neutrality" objective in 2060 by addressing three key questions of forestation: where, with what forest species, and when to afforest. The results yielded a high-confidence potential forestation map for China at a resolution of 1 km with the identified optimal native forest type or species. Our analysis revealed an additional 78 Mha suitable for forestation up to the 2060s, a 43% increase on the current forest area. Selecting forest species for maximal carbon stock in addition to maximizing local environmental suitability enabled almost a doubling in forest carbon sink potential. Progressive forestation of this area can fix a considerable amount of CO2 and compensate for the carbon sink decline in existing forests. Altogether, the entire forest ecosystem can support a persistent biophysical carbon sink potential of 0.4 Pg C y-1 by 2060 and 0.2 Pg C y-1 by 2100, offsetting 7 to 14% of the current national fossil CO2 emissions. Our research provides an example of building a forestation roadmap toward a sustained forest carbon sink, which creates a critical time window for the emission cuts required by the goal of carbon neutrality.
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Affiliation(s)
- Hao Xu
- Institute of Carbon Neutrality, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing100871, China
| | - Chao Yue
- State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest Agriculture and Forestry University, Shaanxi712100, China
| | - Yao Zhang
- Institute of Carbon Neutrality, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing100871, China
| | - Dan Liu
- State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing100085, China
| | - Shilong Piao
- Institute of Carbon Neutrality, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing100871, China
- State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing100085, China
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