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Zheng Y, Ye J, Pei J, Fang C, Li D, Ke W, Song X, Sardans J, Peñuelas J. Initial soil condition, stand age, and aridity alter the pathways for modifying the soil carbon under afforestation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 946:174448. [PMID: 38969120 DOI: 10.1016/j.scitotenv.2024.174448] [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: 02/18/2024] [Revised: 06/25/2024] [Accepted: 07/01/2024] [Indexed: 07/07/2024]
Abstract
Afforestation is a crucial pathway for ecological restoration and has the potential to modify soil microbial community, thereby impacting the cycling and accumulation of carbon in soil across diverse patterns. However, the overall patterns of how afforestation impacts below-ground carbon cycling processes remain uncertain. In this comprehensive meta-analysis, we systematically evaluated 7045 observations from 210 studies worldwide to evaluate the influence of afforestation on microbial communities, enzyme activities, microbial functions, and associated physicochemical properties of soils. Afforestation increases microbial biomass, carbon and nitrogen hydrolase activities, and microbial respiration, but not carbon oxidase activity and nitrogen decomposition rate. Conversely, afforestation leads to a reduction in the metabolic quotient, with significant alteration of bacterial and fungal community structures and positive effects on the fungi: bacteria ratio rather than alpha and beta diversity metrics. We found a total 77 % increase in soil organic carbon (SOC) content after afforestation, which varied depending on initial SOC content before afforestation, afforestation stand age, and aridity index of afforestation sites. The modified SOC is associated with bacterial community composition along with intracellular metabolic quotient and extracellular carbon degrading enzyme activity playing a role. These findings provide insights into the pathways through which afforestation affects carbon cycling via microorganisms, thus improving our knowledge of soil carbon reservoir's responses to afforestation under global climate change.
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Affiliation(s)
- Yang Zheng
- Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jiansheng Ye
- State Key Laboratory of Grassland Agro-ecosystems, College of Ecology, Lanzhou University, No. 222, South Tianshui Road, Lanzhou 730000, China
| | - Jiuying Pei
- State Key Laboratory of Grassland Agro-ecosystems, College of Ecology, Lanzhou University, No. 222, South Tianshui Road, Lanzhou 730000, China; CSIC Global Ecology Unit CREAF-CSIC-UAB, E08193 Bellaterra, Catalonia, Spain; CREAF, E08193 Cerdanyola del Vallès, Catalonia, Spain
| | - Chao Fang
- Key Laboratory of Ecosystem Carbon Source and Sink, China Meteorological Administration (ECSS-CMA), School of Ecology and Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Danfeng Li
- Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Wenbin Ke
- State Key Laboratory of Grassland Agro-ecosystems, College of Ecology, Lanzhou University, No. 222, South Tianshui Road, Lanzhou 730000, China
| | - Xin Song
- State Key Laboratory of Grassland Agro-ecosystems, College of Ecology, Lanzhou University, No. 222, South Tianshui Road, Lanzhou 730000, China; CSIC Global Ecology Unit CREAF-CSIC-UAB, E08193 Bellaterra, Catalonia, Spain; CREAF, E08193 Cerdanyola del Vallès, Catalonia, Spain
| | - Jordi Sardans
- CSIC Global Ecology Unit CREAF-CSIC-UAB, E08193 Bellaterra, Catalonia, Spain; CREAF, E08193 Cerdanyola del Vallès, Catalonia, Spain
| | - Josep Peñuelas
- CSIC Global Ecology Unit CREAF-CSIC-UAB, E08193 Bellaterra, Catalonia, Spain; CREAF, E08193 Cerdanyola del Vallès, Catalonia, Spain
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Guo H, Cui S, Nielsen CK, Pullens JW, Qiu C, Wu S. Unraveling Spatially Diverse and Interactive Regulatory Mechanisms of Wetland Methane Fluxes to Improve Emission Estimation. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58. [PMID: 39134052 PMCID: PMC11360361 DOI: 10.1021/acs.est.4c06057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Revised: 07/18/2024] [Accepted: 07/19/2024] [Indexed: 09/01/2024]
Abstract
Methane fluxes (FCH4) vary significantly across wetland ecosystems due to complex mechanisms, challenging accurate estimations. The interactions among environmental drivers, while crucial in regulating FCH4, have not been well understood. Here, the interactive effects of six environmental drivers on FCH4 were first analyzed using 396,322 half-hourly measurements from 22 sites across various wetland types and climate zones. Results reveal that soil temperature, latent heat turbulent flux, and ecosystem respiration primarily exerted direct effects on FCH4, while air temperature and gross primary productivity mainly exerted indirect effects by interacting with other drivers. Significant spatial variability in FCH4 regulatory mechanisms was highlighted, with different drivers demonstrated varying direct, indirect, and total effects among sites. This spatial variability was then linked to site-specific annual-average air temperature (17.7%) and water table (9.0%) conditions, allowing the categorization of CH4 sources into four groups with identified critical drivers. An improved estimation approach using a random forest model with three critical drivers was consequently proposed, offering accurate FCH4 predictions with fewer input requirements. By explicitly accounting for environmental interactions and interpreting spatial variability, this study enhances our understanding of the mechanisms regulating CH4 emissions, contributing to more efficient modeling and estimation of wetland FCH4.
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Affiliation(s)
- Haonan Guo
- Department
of Agroecology, Aarhus University, Tjele 8830, Denmark
| | - Shihao Cui
- Department
of Agroecology, Aarhus University, Tjele 8830, Denmark
| | | | | | - Chunjing Qiu
- Research
Center for Global Change and Complex Ecosystems, School of Ecological
and Environmental Sciences, East China Normal
University, Shanghai 200241, China
- Institute
of Eco-Chongming, East China Normal University, Shanghai 200241, China
| | - Shubiao Wu
- Department
of Agroecology, Aarhus University, Tjele 8830, Denmark
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3
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Chen L, Qiu T, Huang F, Zeng Y, Cui Y, Chen J, White JC, Fang L. Micro/nanoplastics pollution poses a potential threat to soil health. GLOBAL CHANGE BIOLOGY 2024; 30:e17470. [PMID: 39149882 DOI: 10.1111/gcb.17470] [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: 04/16/2024] [Revised: 06/29/2024] [Accepted: 07/29/2024] [Indexed: 08/17/2024]
Abstract
Micro/nanoplastic (MNP) pollution in soil ecosystems has become a growing environmental concern globally. However, the comprehensive impacts of MNPs on soil health have not yet been explored. We conducted a hierarchical meta-analysis of over 5000 observations from 228 articles to assess the broad impacts of MNPs on soil health parameters (represented by 20 indicators relevant to crop growth, animal health, greenhouse gas emissions, microbial diversity, and pollutant transfer) and whether the impacts depended on MNP properties. We found that MNP exposure significantly inhibited crop biomass and germination, and reduced earthworm growth and survival rate. Under MNP exposure, the emissions of soil greenhouse gases (CO2, N2O, and CH4) were significantly increased. MNP exposure caused a decrease in soil bacteria diversity. Importantly, the magnitude of impact of the soil-based parameters was dependent on MNP dose and size; however, there is no significant difference in MNP type (biodegradable and conventional MNPs). Moreover, MNPs significantly reduced As uptake by plants, but promoted plant Cd accumulation. Using an analytical hierarchy process, we quantified the negative impacts of MNP exposure on soil health as a mean value of -10.2% (-17.5% to -2.57%). Overall, this analysis provides new insights for assessing potential risks of MNP pollution to soil ecosystem functions.
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Affiliation(s)
- Li Chen
- College of Natural Resources and Environment, Northwest A&F University, Yangling, China
- School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan, China
| | - Tianyi Qiu
- College of Natural Resources and Environment, Northwest A&F University, Yangling, China
- School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan, China
| | - Fengyu Huang
- College of Natural Resources and Environment, Northwest A&F University, Yangling, China
- School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan, China
| | - Yi Zeng
- College of Natural Resources and Environment, Northwest A&F University, Yangling, China
| | - Yongxing Cui
- Institute of Biology, Freie Universität Berlin, Berlin, Germany
| | - Jing Chen
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Jason C White
- The Connecticut Agricultural Experiment Station, New Haven, Connecticut, USA
| | - Linchuan Fang
- College of Natural Resources and Environment, Northwest A&F University, Yangling, China
- School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan, China
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Chen X, Thomas BR, Pattison S, An Z, Chang SX. Pulp mill biosolids mitigate soil greenhouse gas emissions from applied urea and improve soil fertility in a hybrid poplar plantation. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 344:118474. [PMID: 37364496 DOI: 10.1016/j.jenvman.2023.118474] [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: 03/23/2023] [Revised: 06/04/2023] [Accepted: 06/19/2023] [Indexed: 06/28/2023]
Abstract
Pulp mill biosolids (hereafter 'biosolids') could be used as an organic amendment to improve soil fertility and promote crop growth; however, it is unclear how the application of biosolids affects soil greenhouse gas emissions and the mechanisms underlying these effects. Here, we conducted a 2-year field experiment on a 6-year-old hybrid poplar plantation in northern Alberta, Canada, to compare the effects of biosolids, conventional mineral fertilizer (urea), and urea + biosolids on soil CO2, CH4 N2O emissions, as well as soil chemical and microbial properties. We found that the addition of biosolids increased soil CO2 and N2O emissions by 21 and 17%, respectively, while urea addition increased their emissions by 30 and 83%, respectively. However, the addition of urea did not affect soil CO2 emissions when biosolids were also applied. The addition of biosolids and biosolids + urea increased soil dissolved organic carbon (DOC) and microbial biomass C (MBC), while urea addition and biosolids + urea addition increased soil inorganic N, available P and denitrifying enzyme activity (DEA). Furthermore, the CO2 and N2O emissions were positively, while the CH4 emissions were negatively associated with soil DOC, inorganic N, available phosphorus, MBC, microbial biomass N, and DEA. In addition, soil CO2, CH4 and N2O emissions were also strongly associated with soil microbial community composition. We conclude that the application of the combination of biosolids and chemical N fertilizer (urea) could be a beneficial approach for both the disposal and use of pulp mill wastes, by reducing greenhouse gas emissions and improving soil fertility.
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Affiliation(s)
- Xinli Chen
- Department of Renewable Resources, University of Alberta, 442 Earth Sciences Building, Edmonton, AB, T6G 2E3, Canada
| | - Barb R Thomas
- Department of Renewable Resources, University of Alberta, 442 Earth Sciences Building, Edmonton, AB, T6G 2E3, Canada
| | - Sarah Pattison
- Department of Renewable Resources, University of Alberta, 442 Earth Sciences Building, Edmonton, AB, T6G 2E3, Canada
| | - Zhengfeng An
- Department of Renewable Resources, University of Alberta, 442 Earth Sciences Building, Edmonton, AB, T6G 2E3, Canada
| | - Scott X Chang
- Department of Renewable Resources, University of Alberta, 442 Earth Sciences Building, Edmonton, AB, T6G 2E3, Canada.
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Zhu Q, Liu L, Wang C, Wan Y, Yang R, Mou J, Liu J, Wu Y, Tang S, Zhu T, Meng L, Zhang J, Elrys AS. Carbon and nitrogen fractions control soil N 2O emissions and related functional genes under land-use change in the tropics. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 335:122370. [PMID: 37586684 DOI: 10.1016/j.envpol.2023.122370] [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: 06/02/2023] [Revised: 08/10/2023] [Accepted: 08/11/2023] [Indexed: 08/18/2023]
Abstract
Converting natural forests to managed ecosystems generally increases soil nitrous oxide (N2O) emission. However, the pattern and underlying mechanisms of N2O emissions after converting tropical forests to managed plantations remain elusive. Hence, a laboratory incubation study was investigated to determine soil N2O emissions of four land uses including forest, eucalyptus, rubber, and paddy field plantations in a tropical region of China. The effect of soil carbon (C) and nitrogen (N) fractions on soil N2O emissions and related functional genes was also estimated. We found that the conversion of natural forests to managed forests significantly decreased soil N2O emissions, but the conversion to paddy field had no effect. Soil N2O emissions were controlled by both nitrifying and denitrifying genes in tropical natural forest, but only by nitrifying genes in managed forests and by denitrifying genes in paddy field. Soil total N, extractable nitrate, particulate organic C (POC), and hydrolyzable ammonium N showed positive relationship with soil N2O emission. The easily oxidizable organic C (EOC), POC, and light fraction organic C (LFOC) had positive linear correlation with the abundance of AOA-amoA, AOB-amoA, nirK, and nirS genes. The ratios of dissolved organic C, EOC, POC, and LFOC to total N rather than soil C/N ratio control soil N2O emissions with a quadratic function relationship, and the local maximum values were 0.16, 0.22, 1.5, and 0.55, respectively. Our results provided a new evidence of the role of soil C and N fractions and their ratios in controlling soil N2O emissions and nitrifying and denitrifying genes in tropical soils.
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Affiliation(s)
- Qilin Zhu
- College of Tropical Crops, Hainan University, Haikou, 570228, China
| | - Lijun Liu
- College of Tropical Crops, Hainan University, Haikou, 570228, China
| | - Chengzhi Wang
- College of Tropical Crops, Hainan University, Haikou, 570228, China
| | - Yunxing Wan
- College of Tropical Crops, Hainan University, Haikou, 570228, China
| | - Ruoyan Yang
- College of Tropical Crops, Hainan University, Haikou, 570228, China
| | - Jinxia Mou
- College of Tropical Crops, Hainan University, Haikou, 570228, China
| | - Juan Liu
- College of Resource and Environment Science, Yunnan Agricultural University, Kunming, 650201, China
| | - Yanzheng Wu
- College of Tropical Crops, Hainan University, Haikou, 570228, China
| | - Shuirong Tang
- College of Tropical Crops, Hainan University, Haikou, 570228, China
| | - Tongbin Zhu
- Institute of Karst Geology, Chinese Academy of Geological Sciences, Karst Dynamics Laboratory, MLR and Guangxi, Guilin, 541004, China
| | - Lei Meng
- College of Tropical Crops, Hainan University, Haikou, 570228, China.
| | - Jinbo Zhang
- College of Tropical Crops, Hainan University, Haikou, 570228, China
| | - Ahmed S Elrys
- College of Tropical Crops, Hainan University, Haikou, 570228, China; Soil Science Department, Faculty of Agriculture, Zagazig University, Zagazig, Egypt; Liebig Centre for Agroecology and Climate Impact Research, Justus Liebig University, Giessen, Germany
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6
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Divergent Controls on Leaf and Root Litter Decay Linking to Soil C, N, and P Pools Under a Subtropical Land-use Change. Ecosystems 2023. [DOI: 10.1007/s10021-023-00827-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/09/2023]
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Bai J, Chen R, Men X, Cheng X. Divergent linkages of soil phosphorus fractions to edaphic properties following afforestation in the riparian zone of the upper Yangtze river, China. CHEMOSPHERE 2023; 313:137452. [PMID: 36481173 DOI: 10.1016/j.chemosphere.2022.137452] [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: 09/13/2022] [Revised: 11/23/2022] [Accepted: 11/30/2022] [Indexed: 06/17/2023]
Abstract
Soil phosphorus (P) is an essential nutrient element for plant growth but it is also one of the elements of agricultural-dominated watershed pollution. While the vegetation in the riparian zone usually plays an important role in regulating P pollutants. However, how afforestation affects soil P dynamics and fractions in the riparian zone remains largely unclear. Here, we investigated soil P fractions, and associated drivers including edaphic properties, microbial attributes, and soil enzyme activities under conversion from cropland to different afforested lands in order to better understand the dynamics of soil P fractions in the riparian zone of the upper Yangtze River. We found that afforestation significantly decreased the concentrations of available phosphorus, microbial biomass P, and labile P fractions, but the moderately labile P and Stable P did not significantly differ among afforestation types. Particularly, the lowest concentration of labile P was observed in Morus alba (M.a.) forests followed by the Salix babylonica (S.b.) forests, whereas croplands generally exhibited an inverse trend with a higher labile P concentration compared to woodlands, especially in croplands nearby Morus alba forests. Generally, P fractions were negatively associated with soil pH and C:N ratio, while positively related to microbial attributes, N:P ratio, and alkaline phosphatase activities. The labile P and moderately labile P fractions were predominantly regulated by biotic factors (i.e., microbial biomass P, microbial biomass N, leucine amino peptidase), whereas the stable P was strongly related to abiotic factors (i.e., total C concentration, pH, C:N ratio). These findings indicate afforestation is conducive to intercept more labile P, resulting in reduced P leaching to rivers. Collectively, our results not only offer direct experimental insight into predicting the effects of afforestation on soil P fractions but also have important implications for agricultural pollution management and reforestation strategies in the riparian zone.
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Affiliation(s)
- Jiankun Bai
- Key Laboratory of Soil Ecology and Health in Universities of Yunnan Province, School of Ecology and Environmental Sciences, Yunnan University, Kunming, PR China
| | - Rui Chen
- Key Laboratory of Soil Ecology and Health in Universities of Yunnan Province, School of Ecology and Environmental Sciences, Yunnan University, Kunming, PR China
| | - Xiuxian Men
- Key Laboratory of Soil Ecology and Health in Universities of Yunnan Province, School of Ecology and Environmental Sciences, Yunnan University, Kunming, PR China
| | - Xiaoli Cheng
- Key Laboratory of Soil Ecology and Health in Universities of Yunnan Province, School of Ecology and Environmental Sciences, Yunnan University, Kunming, PR China.
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Duan B, Xiao R, Cai T, Man X, Ge Z, Gao M, Mencuccini M. Understory species composition mediates soil greenhouse gas fluxes by affecting bacterial community diversity in boreal forests. Front Microbiol 2023; 13:1090169. [PMID: 36741883 PMCID: PMC9894877 DOI: 10.3389/fmicb.2022.1090169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Accepted: 12/05/2022] [Indexed: 01/22/2023] Open
Abstract
Introduction Plant species composition in forest ecosystems can alter soil greenhouse gas (GHG) budgets by affecting soil properties and microbial communities. However, little attention has been paid to the forest types characterized by understory vegetation, especially in boreal forests where understory species contribute significantly to carbon and nitrogen cycling. Method In the present study, soil GHG fluxes, soil properties and bacterial community, and soil environmental conditions were investigated among three types of larch forest [Rhododendron simsii-Larix gmelinii forest (RL), Ledum palustre-Larix gmelinii forest (LL), and Sphagnum-Bryum-Ledum palustre-Larix gmelinii forest (SLL)] in the typical boreal region of northeast China to explore whether the forest types characterized by different understory species can affect soil GHG fluxes. Results The results showed that differences in understory species significantly affected soil GHG fluxes, properties, and bacterial composition among types of larch forest. Soil CO2 and N2O fluxes were significantly higher in LL (347.12 mg m-2 h-1 and 20.71 μg m-2 h-1) and RL (335.54 mg m-2 h-1 and 20.73 μg m-2 h-1) than that in SLL (295.58 mg m-2 h-1 and 17.65 μg m-2 h-1), while lower soil CH4 uptake (-21.07 μg m-2 h-1) were found in SLL than in RL (-35.21 μg m-2 h-1) and LL (-35.85 μg m-2 h-1). No significant differences between LL and RL were found in soil CO2, CH4, and N2O fluxes. Soil bacterial composition was mainly dominated by Proteobacteria, Actinobacteria, Acidobacteria, and Chloroflexi among the three types of larch forest, while their abundances differed significantly. Soil environmental variables, soil properties, bacterial composition, and their interactions significantly affected the variations in GHG fluxes with understory species. Specifically, structural equation modeling suggested that soil bacterial composition and temperature had direct close links with variations in soil GHG fluxes among types of larch forest. Moreover, soil NO3 --N and NH4 + - N content also affected soil CO2, CH4, and N2O fluxes indirectly, via their effects on soil bacterial composition. Discussion Our study highlights the importance of understory species in regulating soil GHG fluxes in boreal forests, which furthers our understanding of the role of boreal forests in sustainable development and climate change mitigation.
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Affiliation(s)
- Beixing Duan
- School of Forestry, Northeast Forestry University, Harbin, China,Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin, China,CREAF, Barcelona, Spain
| | - Ruihan Xiao
- School of Forestry, Northeast Forestry University, Harbin, China,Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin, China
| | - Tijiu Cai
- School of Forestry, Northeast Forestry University, Harbin, China,Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin, China,*Correspondence: Tijiu Cai,
| | - Xiuling Man
- School of Forestry, Northeast Forestry University, Harbin, China,Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin, China
| | - Zhaoxin Ge
- School of Forestry, Northeast Forestry University, Harbin, China,Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin, China
| | - Minglei Gao
- School of Forestry, Northeast Forestry University, Harbin, China,Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin, China
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Tang S, Rao Y, Huang S, Xu Y, Zeng K, Liang X, Ling Q, Liu K, Ma J, Yu F, Li Y. Impact of environmental factors on the ammonia-oxidizing and denitrifying microbial community and functional genes along soil profiles from different ecologically degraded areas in the Siding mine. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 326:116641. [PMID: 36343494 DOI: 10.1016/j.jenvman.2022.116641] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 10/08/2022] [Accepted: 10/25/2022] [Indexed: 06/16/2023]
Abstract
Ammonia oxidizers (ammonia-oxidizing bacteria (AOB amoA) and ammonia-oxidizing archaea (AOA amoA)) and denitrifiers (encoded by nirS, nirK and nosZ) in the soil nitrogen cycle exist in a variety of natural ecosystems. However, little is known about the contribution of these five N-related functional genes to nitrification and denitrification in the soil profile in severely ecologically degraded areas. Therefore, in the present study, the abundance, diversity and community composition of AOA, AOB, nirS, nirK and nosZ were investigated in the soil profiles of different ecologically degraded areas in the Siding mine. The results indicated that, at the phylum level, the dominant archaea were Crenarchaeota and Thaumarchaeota and the dominant bacteria were Proteobacteria. Heavy metal contents had a great impact on AOA amoA, nirS and nirK gene abundances. AOA amoA contributed more during the ammonia oxidation process and was better adapted for survival in heavy metal-contaminated environments. In addition to heavy metals, the soil organic matter (SOM) content and C/N ratio had strong effects on the AOA and AOB community diversity and structure. In addition, variations in the net ammonification and nitrification rates were proportional to AOA amoA abundance along the soil profile. The soil C/N ratio, soil available phosphorus content and soil moisture influenced the denitrification process. Both soil available phosphorus and moisture were more strongly related to nosZ than to nirS and nirK. In addition, nosZ presented a higher correlation with the nosZ/(nirS + nirK) ratio. Moreover, nosZ/(nirS + nirK) was the key functional gene group that drove the major processes for NH4+-N and NO3--N transformation. This study demonstrated the role and importance of soil property impacts on N-related microbes in the soil profile and provided a better understanding of the role and importance of N-related functional genes and their contribution to soil nitrification and denitrification processes in highly degraded areas in the Siding mine.
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Affiliation(s)
- Shuting Tang
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, China; College of Environment and Resources, Guangxi Normal University, 541004, Guilin, China
| | - Yin Rao
- College of Environment and Resources, Guangxi Normal University, 541004, Guilin, China
| | - Shulian Huang
- College of Environment and Resources, Guangxi Normal University, 541004, Guilin, China
| | - Yue Xu
- College of Environment and Resources, Guangxi Normal University, 541004, Guilin, China
| | - Kaiyue Zeng
- College of Environment and Resources, Guangxi Normal University, 541004, Guilin, China
| | - Xin Liang
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, China; College of Environment and Resources, Guangxi Normal University, 541004, Guilin, China
| | - Qiujie Ling
- College of Environment and Resources, Guangxi Normal University, 541004, Guilin, China
| | - Kehui Liu
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, China; Guangxi Key Laboratory of Landscape Resources Conservation and Sustainable Utilization in Lijiang River Basin, Guangxi Normal University, 541004, Guilin, China; College of Life Science, Guangxi Normal University, 541004, Guilin, China
| | - Jiangming Ma
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, China; Guangxi Key Laboratory of Landscape Resources Conservation and Sustainable Utilization in Lijiang River Basin, Guangxi Normal University, 541004, Guilin, China; College of Life Science, Guangxi Normal University, 541004, Guilin, China
| | - Fangming Yu
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, China; Guangxi Key Laboratory of Landscape Resources Conservation and Sustainable Utilization in Lijiang River Basin, Guangxi Normal University, 541004, Guilin, China; College of Environment and Resources, Guangxi Normal University, 541004, Guilin, China.
| | - Yi Li
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, China; Guangxi Key Laboratory of Landscape Resources Conservation and Sustainable Utilization in Lijiang River Basin, Guangxi Normal University, 541004, Guilin, China; College of Environment and Resources, Guangxi Normal University, 541004, Guilin, China.
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de Lourdes Nuñez Landa M, Carlos Montero Castro J, César Monterrubio-Rico T, Lara-Cabrera SI, Prieto-Torres DA. Predicting co-distribution patterns of parrots and woody plants under global changes: The case of the Lilac-crowned Amazon and Neotropical dry forests. J Nat Conserv 2022. [DOI: 10.1016/j.jnc.2022.126323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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11
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Feng Z, Wang L, Wan X, Yang J, Peng Q, Liang T, Wang Y, Zhong B, Rinklebe J. Responses of soil greenhouse gas emissions to land use conversion and reversion-A global meta-analysis. GLOBAL CHANGE BIOLOGY 2022; 28:6665-6678. [PMID: 35989422 DOI: 10.1111/gcb.16370] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 07/27/2022] [Indexed: 06/15/2023]
Abstract
Exploring the responses of greenhouse gas (GHG) emissions to land use conversion or reversion is significant for taking effective land use measures to alleviate global warming. A global meta-analysis was conducted to analyze the responses of carbon dioxide (CO2 ), methane (CH4 ), and nitrous oxide (N2 O) emissions to land use conversion or reversion, and determine their temporal evolution, driving factors, and potential mechanisms. Our results showed that CH4 and N2 O responded positively to land use conversion while CO2 responded negatively to the changes from natural herb and secondary forest to plantation. By comparison, CH4 responded negatively to land use reversion and N2 O also showed negative response to the reversion from agricultural land to forest. The conversion of land use weakened the function of natural forest and grassland as CH4 sink and the artificial nitrogen (N) addition for plantation increased N source for N2 O release from soil, while the reversion of land use could alleviate them to some degree. Besides, soil carbon would impact CO2 emission for a long time after land use conversion, and secondary forest reached the CH4 uptake level similar to that of primary forest after over 40 years. N2 O responses had negative relationships with time interval under the conversions from forest to plantation, secondary forest, and pasture. In addition, meta-regression indicated that CH4 had correlations with several environmental variables, and carbon-nitrogen ratio had contrary relationships with N2 O emission responses to land use conversion and reversion. And the importance of driving factors displayed that CO2 , CH4 , and N2 O response to land use conversion and reversion was easily affected by NH4 + and soil moisture, mean annual temperature and NO3 - , total nitrogen and mean annual temperature, respectively. This study would provide enlightenments for scientific land management and reduction of GHG emissions.
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Affiliation(s)
- Zhaohui Feng
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Lingqing Wang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Xiaoming Wan
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Jun Yang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Qin Peng
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Tao Liang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Yazhu Wang
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China
| | - Buqing Zhong
- South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China
| | - Jörg Rinklebe
- School of Architecture and Civil Engineering, Institute of Foundation Engineering, Water- and Waste-Management, Soil- and Groundwater-Management, University of Wuppertal, Wuppertal, Germany
- International Research Centre of Nanotechnology for Himalayan Sustainability (IRCNHS), Shoolini University, Solan, Himachal Pradesh, India
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Zhang M, Liu S, Chen M, Chen J, Cao X, Xu G, Xing H, Li F, Shi Z. The below-ground carbon and nitrogen cycling patterns of different mycorrhizal forests on the eastern Qinghai-Tibetan Plateau. PeerJ 2022; 10:e14028. [PMID: 36124133 PMCID: PMC9482363 DOI: 10.7717/peerj.14028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 08/16/2022] [Indexed: 01/19/2023] Open
Abstract
Mycorrhizal fungi can form symbiotic associations with tree species, which not only play an important role in plant survival and growth, but also in soil carbon (C) and nitrogen (N) cycling. However, the understanding of differences in soil C and N cycling patterns among forests with different mycorrhizal types is still incomplete. In order to determine the similarities and differences of soil C and N cycling patterns in different mycorrhizal forest types, three primary forests dominated by ectomycorrhizal (EcM), arbuscular mycorrhizal (AM) and ericoid mycorrhizal (ErM) trees respectively were studied on the eastern Qinghai-Tibetan Plateau. Indicators associated with soil C and N cycling, including leaf litter quality, soil C and N contents, soil C and N fluxes, and soil microbial biomass C and N contents were measured in each mycorrhizal type forest. The results showed that leaf litter quality was significantly lower with high C:N ratio and lignin: N ratio in ErM forest than that in AM and EcM forests. Soil CO2 flux (508.25 ± 65.51 mg m-2 h-1) in AM forest was significantly higher than that in EcM forest (387.18 ± 56.19 mg m-2 h-1) and ErM forest (177.87 ± 58.40 mg m-2 h-1). Furthermore, soil inorganic N content was higher in the AM forest than that in EcM and ErM forests. Soil net N mineralization rate (-0.02 ± 0.03 mg kg-1 d-1) was lower in ErM forest than that in EcM and AM forests. We speculated that AM and EcM forests were relatively characterized by rapid soil C cycling comparing to ErM forest. The soil N cycling in EcM and ErM forests were lower, implying they were 'organic' N nutrition patterns, and the pattern in ErM forest was more obvious.
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Affiliation(s)
- Miaomiao Zhang
- Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing, China,Miyaluo Research Station of Alpine Forest Ecosystem, Lixian County, Sichuan, China
| | - Shun Liu
- Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing, China,Miyaluo Research Station of Alpine Forest Ecosystem, Lixian County, Sichuan, China
| | - Miao Chen
- Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing, China,Miyaluo Research Station of Alpine Forest Ecosystem, Lixian County, Sichuan, China
| | - Jian Chen
- Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing, China,Miyaluo Research Station of Alpine Forest Ecosystem, Lixian County, Sichuan, China
| | - Xiangwen Cao
- Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing, China,Miyaluo Research Station of Alpine Forest Ecosystem, Lixian County, Sichuan, China
| | - Gexi Xu
- Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing, China,Miyaluo Research Station of Alpine Forest Ecosystem, Lixian County, Sichuan, China
| | - Hongshuang Xing
- Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing, China,Miyaluo Research Station of Alpine Forest Ecosystem, Lixian County, Sichuan, China
| | - Feifan Li
- Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing, China,Miyaluo Research Station of Alpine Forest Ecosystem, Lixian County, Sichuan, China
| | - Zuomin Shi
- Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing, China,Miyaluo Research Station of Alpine Forest Ecosystem, Lixian County, Sichuan, China,Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China,Institute for Sustainable Plant Protection, National Research Council of Italy, Torino, Italy
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