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Zhang Z, Gao P, Li T, Dong X, Zhang J, Shao Z, Xu J, Dun X. Carbon isotopic measurements from coastal zone protected forests in northern China: Soil carbon decomposition assessment and its influencing factors. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2021; 299:113649. [PMID: 34474259 DOI: 10.1016/j.jenvman.2021.113649] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Revised: 08/11/2021] [Accepted: 08/26/2021] [Indexed: 06/13/2023]
Abstract
Panting protected forests to increase soil carbon sequestration is an effective means of reducing carbon emissions. Soil organic carbon (SOC) decomposition is one of the main indicators of soil carbon sequestration. However, SOC decomposition and its influencing factors in protected forests have not been fully characterized, especially in coastal zones. In this paper, coastal zone protected forest stands composed of Quercus acutissima Carruth (QAC), Pinus thunbergii Parl (PTP) and mixed PTP and QAC (MF) were selected as the research objects. The trends of the SOC decomposition rate were characterized by the beta (β) value, and the influencing factors were further explored with structural equation models. The results were as follows: The SOC content decreased from leaf to litter and then to the soil profile at all sites, while the δ13C value increased. The β value ranged from -3.12 to -5.76, with an average of -3.81. The β value was positively correlated with the diversity and richness of soil bacteria, supporting the hypothesis that the increase in δ13C with depth was mainly caused by isotope fractionation in the process of microbial SOC decomposition. The structural equation model showed that nitrogen and the availability of nitrogen have a strong ability to explain the value of β, which indicates that nitrogen-based edaphic variables play an important role in affecting SOC decomposition. The SOC decomposition rate in PTP was higher than that in QAC and MF. The results of this study indicate that the prediction of SOC decomposition based on the β value is suitable for coastal zone protected forests. The incorporation of edaphic variables into global carbon cycle models may enhance the predictions of SOC dynamics in coastal zone protected forests.
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Affiliation(s)
- Zixu Zhang
- Shandong Agricultural University, Forestry College, Mountain Tai Forest Ecosystem Research Station of State Forestry and Grassland Administration, Tai'an, Shandong, 271018, China
| | - Peng Gao
- Shandong Agricultural University, Forestry College, Mountain Tai Forest Ecosystem Research Station of State Forestry and Grassland Administration, Tai'an, Shandong, 271018, China.
| | - Teng Li
- Shandong Agricultural University, Forestry College, Mountain Tai Forest Ecosystem Research Station of State Forestry and Grassland Administration, Tai'an, Shandong, 271018, China
| | - Xuede Dong
- Shandong Agricultural University, Forestry College, Mountain Tai Forest Ecosystem Research Station of State Forestry and Grassland Administration, Tai'an, Shandong, 271018, China
| | - Jiachen Zhang
- Shandong Agricultural University, Forestry College, Mountain Tai Forest Ecosystem Research Station of State Forestry and Grassland Administration, Tai'an, Shandong, 271018, China
| | - Ziqing Shao
- Shandong Agricultural University, Forestry College, Mountain Tai Forest Ecosystem Research Station of State Forestry and Grassland Administration, Tai'an, Shandong, 271018, China
| | - Jingwei Xu
- Shandong Academy of Forestry, Ji'nan, Shandong, 250014, China.
| | - Xingjian Dun
- Shandong Academy of Forestry, Ji'nan, Shandong, 250014, China
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Wang Y, Huang L, Jia X, Zhu Y, Shao MA. Distribution characteristics and controls of soil organic carbon at different spatial scales in China's Loess Plateau. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2021; 293:112943. [PMID: 34102503 DOI: 10.1016/j.jenvman.2021.112943] [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: 11/29/2020] [Revised: 05/07/2021] [Accepted: 05/08/2021] [Indexed: 06/12/2023]
Abstract
Understanding the variations and controls of soil organic carbon (SOC) at different spatial scales can help in selecting edaphic and environmental covariates that enables us to model SOC more accurately. The present study investigated the distribution characteristics and controls of SOC content at various spatial scales, including a deep soil core (204.5 m) taken from land surface down to bedrock (plot scale), two toposequences with different slope aspects (slope scale), and eighty-six soil profiles along a north-south transect under different land uses (regional scale) in China's Loess Plateau. The results showed that SOC content at different spatial scales decreased exponentially with increasing soil depth, but the rate of reduction differed at various spatial scales and in soil layers at different depths. For the deep soil core, the SOC content and the average rate of reduction with depth in the 0-15.5 m soil layer were significantly higher than the corresponding values of the 15.5-34.5 m and 34.5-204.5 m soil layers (p < 0.05). For the toposequences with varying slope aspects, SOC content in the 0-50 cm soil layer declined rapidly with increasing depth; while SOC content in the 50-200 cm soil layer showed relatively no change. There was no significant difference of average SOC content at depths of 0-200 cm for forestland and grassland considering slope aspects that differed or were the same (p > 0.05) due to the similar climatic conditions. However, SOC content within 0-500 cm soil profile under different land uses along the north-south transect exhibited a significant difference (p < 0.05), following the order of farmland (4.94 ± 1.23 g kg-1) > forestland (3.01 ± 1.45 g kg-1) > grassland (2.03 ± 0.68 g kg-1); moreover, the mean SOC content of the 0-500 cm soil profile generally decreased from south to north following the decreasing rainfall and temperature gradient. The average rates of reduction of SOC content in the 0-50 cm soil layer under different land uses (0.0807-0.1756 g kg-1 cm-1) were higher than the values of the 50-200 cm (0.0021-0.0154 g kg-1 cm-1) and 200-500 cm soil layers (0.0001-0.0017 g kg-1 cm-). The SOC content at the plot scale at different depths positively correlated with total nitrogen content. The SOC content at the slope scale was mainly affected by soil water content and saturated hydraulic conductivity, while that at the regional scale was impacted by climate, topography and soil water/clay content. Pedotransfer functions were applied to adequately simulate and predict SOC content at different spatial scales in the studied area, which could provide a foundation to build SOC prediction models and extrapolate the various spatial scales to other loess regions worldwide. Our findings demonstrate the importance of considering the scale effects for efficiently predicting the spatial patterns of SOC and can help in devising better policy to protect or enhance existing SOC stocks.
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Affiliation(s)
- Yi Wang
- 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, 100049, China
| | - Laiming Huang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A & F University, Yangling, 712100, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Xiaoxu Jia
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A & F University, Yangling, 712100, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yuanjun Zhu
- State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A & F University, Yangling, 712100, China
| | - Ming An Shao
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A & F University, Yangling, 712100, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
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Zhang J, Zhang M, Huang S, Zha X. Assessing spatial variability of soil organic carbon and total nitrogen in eroded hilly region of subtropical China. PLoS One 2020; 15:e0244322. [PMID: 33347496 PMCID: PMC7751969 DOI: 10.1371/journal.pone.0244322] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Accepted: 12/07/2020] [Indexed: 11/20/2022] Open
Abstract
The hilly red soil region of southern China suffers from severe soil erosion that has led to soil degradation and loss of soil nutrients. Estimating the content and spatial variability of soil organic carbon (SOC) and soil total nitrogen (STN) and assessing the influence of topography and land-use type on SOC and STN after years of soil erosion control are important for vegetation restoration and ecological reconstruction. A total of 375 topsoil samples were collected from Changting County, and their SOC and STN distributions were studied by using descriptive statistics and geostatistical methods. Elevation, slope, aspect and land-use type were selected to investigate the impacts of natural and human factors on the spatial heterogeneity of SOC and STN. The mean SOC and STN concentrations were 15.85 and 0.98 g kg-1 with moderate spatial variations, respectively. SOC and STN exhibited relatively uniform distributions that decreased gradually from the outside parts to the center of the study area. The SOC and STN contents in the study area were still at moderate and low levels after years of erosion control, which suggests that soil nutrient improvement is a slow process. The lowest SOC and STN values were at lower elevations in the center of Changting County. The results indicated that the SOC and STN contents increased most significantly with elevation and slope due to the influence of topography on the regional natural environment and soil erosion in the eroded hilly region. No significant variations were observed among different slope directions and land-use types.
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Affiliation(s)
- Jing Zhang
- College of Geographical Sciences, Fujian Normal University, Fuzhou, Fujian, China
- Key Laboratory for Subtropical Mountain Ecology (Ministry of Science and Technology and Fujian Province Funded), Fuzhou, Fujian, China
| | - Miao Zhang
- Department of Ecological Environment, Fujian Provincial Investigation Design & Research Institute Of Water Conservancy & Hydropower, Fuzhou, Fujian, China
| | - Shaoyan Huang
- College of Geographical Sciences, Fujian Normal University, Fuzhou, Fujian, China
- Key Laboratory for Subtropical Mountain Ecology (Ministry of Science and Technology and Fujian Province Funded), Fuzhou, Fujian, China
| | - Xuan Zha
- College of Geographical Sciences, Fujian Normal University, Fuzhou, Fujian, China
- Key Laboratory for Subtropical Mountain Ecology (Ministry of Science and Technology and Fujian Province Funded), Fuzhou, Fujian, China
- * E-mail:
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Guo Z, Han J, Xu Y, Lu Y, Shi C, Ge L, Cao T, Li J. The mineralization characteristics of organic carbon and particle composition analysis in reconstructed soil with different proportions of soft rock and sand. PeerJ 2019; 7:e7707. [PMID: 31576244 PMCID: PMC6752185 DOI: 10.7717/peerj.7707] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Accepted: 08/20/2019] [Indexed: 11/20/2022] Open
Abstract
The organic carbon mineralization process reflects the release intensity of soil CO2. Therefore, the study of organic carbon mineralization and particle composition analysis of soft rock and sand compound soil can provide technical support and a theoretical basis for soil organic reconstruction (soil structure, materials and biological nutrition). Based on previous research, four treatments were selected: CK (soft rock:sand=0:1), C1 (soft rock:sand=1:5), C2 (soft rock:sand=1:2) and C3 (soft rock:sand=1:1), respectively. Specifically, we analyzed the organic carbon mineralization process and soil particle composition by lye absorption, laser granulometer, and scanning electron microscope. The results showed that there was no significant difference in organic carbon content between C1, C2 , and C3 treatments, but they were significantly higher than in the CK treatment (P < 0.05). The organic carbon mineralization rate in each treatment accords with a logarithmic function throughout the incubation period (P < 0.01), which can be divided into a rapid decline phase in days 1 to 11 followed by a steady decline phase in days 11 to 30. The cumulative mineralization on the 11th day reached 54.96%-74.44% of the total mineralization amount. At the end of the incubation, the cumulative mineralization and potential mineralizable organic carbon content of the C1, C2 and C3 treatments were significantly higher than those of the CK treatment. The cumulative mineralization rate was also the lowest in the C1 and C2 treatment. The turnover rate constant of soil organic carbon in each treatment was significantly lower than that of the CK treatment, and the residence time increased. With the increase of volume fraction of soft rock, the content of silt and clay particles increased gradually, the texture of soil changed from sandy soil to sandy loam, loam , and silty loam, respectively. With the increase of small particles, the structure of soil appear ed to collapse when the volume ratio of soft rock was 50%. A comprehensive mineralization index and scanning electron microscopy analysis, when the ratio of soft rock to sand volume was 1:5-1:2, this can effectively increase the accumulation of soil organic carbon. Then, the distribution of soil particles was more uniform, the soil structure was stable (not collapsed), and the mineralization level of unit organic carbon was lower. Our research results have practical significance for the large area popularization of soft rock and sand compound technology.
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Affiliation(s)
- Zhen Guo
- Shaanxi Provincial Land Engineering Construction Group Co., Ltd./Shaanxi Key Laboratory of Land Consolidation, Xi'an, Shaanxi, China.,Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, Shaanxi, China.,Key Laboratory of Degraded and Unused Land Consolidation Engineering, the Ministry of Natural and Resources of China, Xi'an, Shaanxi, China.,Shaanxi Provincial Land Consolidation Engineering Technology Research Center, Xi'an, Shaanxi, China
| | - Jichang Han
- Shaanxi Provincial Land Engineering Construction Group Co., Ltd./Shaanxi Key Laboratory of Land Consolidation, Xi'an, Shaanxi, China.,Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, Shaanxi, China.,Key Laboratory of Degraded and Unused Land Consolidation Engineering, the Ministry of Natural and Resources of China, Xi'an, Shaanxi, China.,Shaanxi Provincial Land Consolidation Engineering Technology Research Center, Xi'an, Shaanxi, China
| | - Yan Xu
- Shaanxi Provincial Land Engineering Construction Group Co., Ltd./Shaanxi Key Laboratory of Land Consolidation, Xi'an, Shaanxi, China.,Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, Shaanxi, China
| | - Yangjie Lu
- Shaanxi Provincial Land Engineering Construction Group Co., Ltd./Shaanxi Key Laboratory of Land Consolidation, Xi'an, Shaanxi, China.,Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, Shaanxi, China
| | - Chendi Shi
- Shaanxi Provincial Land Engineering Construction Group Co., Ltd./Shaanxi Key Laboratory of Land Consolidation, Xi'an, Shaanxi, China.,Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, Shaanxi, China
| | - Lei Ge
- Shaanxi Provincial Land Engineering Construction Group Co., Ltd./Shaanxi Key Laboratory of Land Consolidation, Xi'an, Shaanxi, China.,Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, Shaanxi, China
| | - Tingting Cao
- Shaanxi Provincial Land Engineering Construction Group Co., Ltd./Shaanxi Key Laboratory of Land Consolidation, Xi'an, Shaanxi, China.,Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, Shaanxi, China.,Key Laboratory of Degraded and Unused Land Consolidation Engineering, the Ministry of Natural and Resources of China, Xi'an, Shaanxi, China.,Shaanxi Provincial Land Consolidation Engineering Technology Research Center, Xi'an, Shaanxi, China
| | - Juan Li
- Shaanxi Provincial Land Engineering Construction Group Co., Ltd./Shaanxi Key Laboratory of Land Consolidation, Xi'an, Shaanxi, China.,Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, Shaanxi, China.,Key Laboratory of Degraded and Unused Land Consolidation Engineering, the Ministry of Natural and Resources of China, Xi'an, Shaanxi, China.,Shaanxi Provincial Land Consolidation Engineering Technology Research Center, Xi'an, Shaanxi, China
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Composition of a Soil Organic Carbon Increment under Different Vegetable Cultivation Patterns: A Study Using Three SOC Pools. SUSTAINABILITY 2018. [DOI: 10.3390/su11010035] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Previous studies suggest that vegetable cultivation increases soil organic carbon (SOC) storage. However, how stable the SOC increment is, and how greenhouse cultivation contributes to the SOC increment in terms of quantity and stability, remains unclear. Soil samples were taken from three typical vegetable cultivation pattern fields: open field (OF), seasonal greenhouse (SG), and permanent greenhouse (PG), as well as adjacent non-vegetable fields. Three conceptual SOC pools, including active (Ca), slow (Cs), and resistant (Cr) pools were fractionated to evaluate SOC sequestration and its stability in vegetable cultivation. The results indicate that vegetable cultivation is associated with greater stored SOC compared with non-vegetable cultivation (SOC increased by 57.9% on average). Using non-vegetable fields as a reference, SOC increments by vegetable cultivation were associated with a higher proportion of Ca (3.7–6.6%) than the reference fields (1.0–2.0%), indicating that the SOC increments might be easily decomposed. Among the three vegetable cultivation patterns, SG, with a higher increase in Cr, is recommended due to its relatively more stable SOC sequestration. Overall, vegetable cultivation could enhance the quantity of SOC, but the stability of the SOC increment is affected by the vegetable cultivation pattern.
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Zhu R, Zheng Z, Li T, Zhang X, He S, Wang Y, Liu T, Li W. Dynamics of soil organic carbon mineralization in tea plantations converted from farmland at Western Sichuan, China. PLoS One 2017; 12:e0185271. [PMID: 28931064 PMCID: PMC5607202 DOI: 10.1371/journal.pone.0185271] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2017] [Accepted: 09/08/2017] [Indexed: 11/19/2022] Open
Abstract
Climate warming and land use change are some of the drivers affecting soil organic carbon (SOC) dynamics. The Grain for Green Project, local natural resources, and geographical conditions have resulted in farmland conversion into tea plantations in the hilly region of Western Sichuan. However, the effect of such land conversion on SOC mineralization remains unknown. In order to understand the temperature sensitivity of SOC decomposition in tea plantations converted from farmland, this study considered the different years (i.e., 2-3, 9-10, and 16-17 years) of tea plantations converted from farmland as the study site, and soil was incubated for 28 days at 15°C, 25°C, and 35°C to measure the soil respiration rate, amount, and temperature coefficient (Q10). Temperature and land use type interactively affected the SOC mineralization rate, and the cumulative amount of SOC mineralization in all the plots was the largest at 35°C. SOC mineralization was greater and more sensitive to temperature changes in the farmland than in the tea plantations. Compared with the control, tea plantation soils showed lower SOC mineralization rate and cumulative mineralization amount. The 16-17-year-old tea plantation with a low SOC mineralization amount and high SOC content revealed the benefits of carbon sequestration enhancement obtained by converting farmland into tea plantations. The first-order kinetic equation described SOC mineralization dynamics well. Farmland conversion into tea plantations appeared to reduce the potentially mineralizable carbon pool, and the age of tea plantations also had an effect on the SOC mineralization and sequestration. The relatively weak SOC mineralization temperature sensitivity of the tea plantation soils suggested that the SOC pool of the tea plantation soils was less vulnerable to warming than that of the control soils.
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Affiliation(s)
- Renhuan Zhu
- College of Resources Science, Sichuan Agricultural University, Chengdu, China
| | - Zicheng Zheng
- College of Resources Science, Sichuan Agricultural University, Chengdu, China
- * E-mail:
| | - Tingxuan Li
- College of Resources Science, Sichuan Agricultural University, Chengdu, China
| | - Xizhou Zhang
- College of Resources Science, Sichuan Agricultural University, Chengdu, China
| | - Shuqin He
- College of Forestry, Sichuan Agricultural University, Chengdu, China
| | - Yongdong Wang
- College of Resources Science, Sichuan Agricultural University, Chengdu, China
| | - Tao Liu
- College of Resources Science, Sichuan Agricultural University, Chengdu, China
| | - Wei Li
- College of Resources Science, Sichuan Agricultural University, Chengdu, China
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Tashi S, Singh B, Keitel C, Adams M. Soil carbon and nitrogen stocks in forests along an altitudinal gradient in the eastern Himalayas and a meta-analysis of global data. GLOBAL CHANGE BIOLOGY 2016; 22:2255-2268. [PMID: 26840803 DOI: 10.1111/gcb.13234] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2015] [Revised: 12/20/2015] [Accepted: 01/06/2016] [Indexed: 06/05/2023]
Abstract
High-altitude soils potentially store a large pool of carbon (C) and nitrogen (N). The assessment of total C and N stocks in soils is vital to understanding the C and N dynamics in terrestrial ecosystems. In this study, we examined effects of altitude and forest composition on soil C and N along a transect from 317 to 3300 m a.s.l. in the eastern Himalayas. We used meta-analysis to establish the context for our results on the effects of altitude on soil C, including variation with depth. Total C and N contents of soils significantly increased with altitude, but decreased with soil depth. Carbon and N were similarly correlated with altitude and temperature, and temperature was seemingly the main driver of soil C along the altitudinal gradient. Altitude accounted for 73% of the variation in C and 47% of the variation in N stocks. Soil pH and cation exchange capacity were correlated with both soil C and N stocks. Increases in soil C and N stocks were related to forest composition, forest basal area as well as quantity of leaf litter that were in turn influenced by altitude and temperature. Concentrations of C in foliage increased by 2.1% for every 1000 m rise in altitude, while that in leaf litter increased by 2.3%.
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Affiliation(s)
- Sonam Tashi
- Centre for Carbon, Water and Food, Faculty of Agriculture and Environment, The University of Sydney, Eveleigh, NSW, 2015, Australia
| | - Balwant Singh
- Centre for Carbon, Water and Food, Faculty of Agriculture and Environment, The University of Sydney, Eveleigh, NSW, 2015, Australia
| | - Claudia Keitel
- Centre for Carbon, Water and Food, Faculty of Agriculture and Environment, The University of Sydney, Eveleigh, NSW, 2015, Australia
| | - Mark Adams
- Centre for Carbon, Water and Food, Faculty of Agriculture and Environment, The University of Sydney, Eveleigh, NSW, 2015, Australia
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Relative contribution of maize and external manure amendment to soil carbon sequestration in a long-term intensive maize cropping system. Sci Rep 2015; 5:10791. [PMID: 26039186 PMCID: PMC4454045 DOI: 10.1038/srep10791] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2014] [Accepted: 04/22/2015] [Indexed: 11/13/2022] Open
Abstract
We aimed to quantify the relative contributions of plant residue and organic manure to soil carbon sequestration. Using a 27-year-long inorganic fertilizer and manure amendment experiment in a maize (Zea mays L.) double-cropping system, we quantified changes in harvestable maize biomass and soil organic carbon stocks (0–20 cm depth) between 1986-2012. By employing natural 13C tracing techniques, we derived the proportional contributions of below-ground crop biomass return (maize-derived carbon) and external manure amendment (manure-derived carbon) to the total soil organic carbon stock. The average retention of maize-derived carbon plus manure-derived carbon during the early period of the trial (up to 11 years) was relatively high (10%) compared to the later period (22 to 27 years, 5.1–6.3%). About 11% of maize-derived carbon was converted to soil organic carbon, which was double the retention of manure-derived carbon (4.4–5.1%). This result emphasized that organic amendments were necessary to a win-win strategy for both SOC sequestration and maize production.
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Ju WM, Chen JM, Harvey D, Wang S. Future carbon balance of China's forests under climate change and increasing CO2. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2007; 85:538-62. [PMID: 17187919 DOI: 10.1016/j.jenvman.2006.04.028] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2005] [Revised: 04/01/2006] [Accepted: 04/16/2006] [Indexed: 05/13/2023]
Abstract
The possible response of the carbon (C) balance of China's forests to an increase in atmospheric CO(2) concentration and climate change was investigated through a series of simulations using the Integrated Terrestrial Ecosystem Carbon (InTEC) model, which explicitly represents the effects of climate, CO(2) concentration, and nitrogen deposition on future C sequestration by forests. Two climate change scenarios (CGCM2-A2 and -B2) were used to drive the model. Simulations showed that China's forests were a C sink in the 1990 s, averaging 189 Tg C yr(-1) (about 13% of the global total). This sink peaks around 2020 and then gradually declines to 33.5 Tg C yr(-1) during 2091-2100 without climate and CO(2) changes. Effects of pure climate change of CGCM2-A2 and -B2 without allowing CO(2) effects on C assimilation in plants might reduce the average net primary productivity (NPP) of China's forests by 29% and 18% during 2091-2100, respectively. Total soil C stocks might decrease by 16% and 11% during this period. China's forests might broadly act as C sources during 2091-2100, with values of about 50 g Cm(-2)yr(-1) under the moderate warming of CGCM2-B2 and 50-200 g Cm(-2)yr(-1) under the warmer scenario of CGCM2-A2. An increase in CO(2) might broadly increase future C sequestration of China's forests. However, this CO(2) fertilization effect might decline with time. The CO(2) fertilization effects on NPP by the end of this century are 349.6 and 241.7 Tg C yr(-1) under CGCM2-A2 and -B2 increase scenarios, respectively. These effects increase by 199.1 and 126.6 Tg C yr(-1) in the first 50 years, and thereafter, by 150.5 and 115.1 Tg C yr(-1) in the second 50 years under CGCM2-A2 and -B2 increase scenarios, respectively. Under a CO(2) increase without climate change, the majority of China's forests would be C sinks during 2091-2100, ranging from 0 to 100 g Cm(-2)yr(-1). The positive effect of CO(2) fertilization on NPP and net ecosystem productivity would be exceeded by the negative effect of climate change after 2050. Under the CGCM2-A2 climate scenario and with direct CO(2) effects, China's forests may be a small C source of 7.6 Tg C yr(-1) during 2091-2100. Most forests act as C sources of 0-40 g Cm(-2)yr(-1). Under the CGCM2-B2 climate scenario and with direct CO(2) effects, China's forests might be a small C sink of 10.5 Tg C yr(-1) during 2091-2100, with C sequestration of most forests ranging from 0 to 40 g Cm(-2)yr(-1). Stand age structure plays a more dominant role in determining future C sequestration than CO(2) and climate change. The prediction of future C sequestration of China's forests is very sensitive to the Q(10) value used to estimate maintenance respiration and to soil water availability and less sensitive to N deposition scenario. The results are not yet comprehensive, as no forest disturbance data were available or predicted after 2001. However, the results indicate a range of possible responses of the C balance of China's forests to various scenarios of increase in CO(2) and climate change. These results could be useful for assessing measures to mitigate climate change through reforestation.
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Affiliation(s)
- W M Ju
- Department of Geography, University of Toronto, 100 St. George St., Room 5047, Toronto, Ontario, Canada M5S 3G3.
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Chen JM, Thomas SC, Yin Y, Maclaren V, Liu J, Pan J, Liu G, Tian Q, Zhu Q, Pan JJ, Shi X, Xue J, Kang E. Enhancing forest carbon sequestration in China: toward an integration of scientific and socio-economic perspectives. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2007; 85:515-23. [PMID: 17182169 DOI: 10.1016/j.jenvman.2006.08.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2006] [Revised: 04/23/2006] [Accepted: 08/09/2006] [Indexed: 05/13/2023]
Abstract
This article serves as an introduction to this special issue, "China's Forest Carbon Sequestration", representing major results of a project sponsored by the Canadian International Development Agency and the Chinese Academy of Sciences. China occupies a pivotal position globally as a principle emitter of carbon dioxide, as host to some of the world's largest reforestation efforts, and as a key player in international negotiations aimed at reducing global greenhouse gas emission. The goals of this project are to develop remote sensing approaches for quantifying forest carbon balance in China in a transparent manner, and information and tools to support land-use decisions for enhanced carbon sequestration (CS) that are science based and economically and socially viable. The project consists of three components: (i) remote sensing and carbon modeling, (ii) forest and soil assessment, and (iii) integrated assessment of the socio-economic implications of CS via forest management. Articles included in this special issue are highlights of the results of each of these components.
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Affiliation(s)
- J M Chen
- Department of Geography, University of Toronto, 100 St. George Street, Room 5047, Toronto, ON, Canada M5S 3G3.
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