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Divergent contributions of spring and autumn photosynthetic phenology to seasonal carbon uptake of subtropical vegetation in China

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Journal of Geographical Sciences 2024年第7期34卷 1280-1296页

作者： peng Ying LI peng ZHOU Xiaolu LUO Yunpeng ZHANG Cicheng WANG Longjun LI Tong peng changhui School of Geographic Sciences Hunan Normal UniversityChangsha410081China Department for Biogeochemical Integration Max-Planck-Institute for BiogeochemistryJena07745Germany Department of Biology Sciences Institute of Environment SciencesUniversity of Quebec at MontrealC.P.8888Succ.Centre-VilleMontrealH3C 3P8Canada

Phenological changes play a central role in regulating seasonal variation in the ecological processes,exerting significant impacts on hydrologic and nutrient cycles,and ultimately influencing ecosystem functioning such as carbon ***,the potential impact mechanisms of phenological events on seasonal carbon dynamics in subtropical regions are *** knowledge gaps hinder from accurately linking photosynthetic phenology and carbon sequestration *** chlorophyll fluorescence remote sensing and productivity data from 2000 to 2019,we found that an advancement in spring phenology increased spring gross(GPP)and net primary productivity(NPP)in subtropical vegetation of China by 2.1 gC m^(-2)yr^(-1)and 1.4 gC m^(-2)yr^(-1),respectively.A delay in autumn phenology increased the autumnal GPP and NPP by 0.4 gC m^(-2)yr^(-1)and 0.2 gC m^(-2)yr^(-1),***,the contribution of the spring phenology to spring carbon uptake increased significantly during the study period,while this positive contribution showed a nonsignificant trend in *** comparison,the later autumn phenology could significantly contribute to the increase in autumnal carbon uptake;however,this contributing effect was *** analysis indicated that these phenomena have been caused by the increased leaf area and enhanced photosynthesis due to earlier spring and later autumn phenology,*** results demonstrate the diverse impacts of vegetation phenology on the seasonal carbon sequestration ability and it is imperative to consider such asymmetric effects when modeling ecosystem processes parameterized under future climate change.

关键词： subtropics vegetation phenology remote sensing carbon cycle climate change

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Divergent response of vegetation phenology to extreme temperatures and precipitation of different intensities on the Tibetan Plateau

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Science China Earth Sciences 2023年第10期66卷 2200-2210页

作者： Mai SUN peng LI Peixin REN Jiayi TANG Cicheng ZHANG Xiaolu ZHOU changhui peng School of Geographic Sciences Hunan Normal UniversityChangsha410081China Department of Biology Sciences Institute of Environment SciencesUniversity of Quebec at MontrealMontrealH3C 3P8Canada

Quantifying how climate factors affect vegetation phenology is crucial for understanding climate-vegetation interactions and carbon and water cycles under a changing ***,the effects of different intensities of extreme climatic events on vegetation phenology remain poorly *** a long-term solar-induced chlorophyll fluorescence dataset,we investigated the response of vegetation phenology to extreme temperatures and precipitation events of different intensities across the Tibetan Plateau(TP)from 2000 to *** found that the effect of maximum temperature exposure days(TxED)and minimum temperature exposure days(TnED)on the start of the growing season(SOS)was initially delayed and shifted to advance along the increasing temperature ***,the response of the end of the growing season(EOS)to TxED and TnED shifted from an advance to a delay with increasing temperature gradients until the temperature thresholds were reached,above which thresholds produced an unfavorable response to vegetation growth and brought the EOS to an early *** corresponding maximum and minimum temperature thresholds were 10.12 and 2.54℃,*** contrast,cumulative precipitation(CP)was more likely to advance SOS and delay EOS as the precipitation gradient increased,but the advance of SOS is gradually *** vegetation types(i.e.,forest,shrubland,meadow,and steppe)showed similar trends in response to different climates,but the optimal climatic conditions varied between the vegetation ***,meadow and steppe had lower optimal temperatures and precipitation than forest and *** findings revealed the divergent responses of vegetation phenology to extreme climate events of different intensities,implying that the SOS will continue to advance with warming,whereas the EOS may undergo a partial transformation from delayed areas to advanced areas with continued warming.

关键词： Vegetation phenology Extreme climates Optimal climate Solar-induced chlorophyll fluorescence Tibetan Plateau

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Spatiotemporal analysis of the impact of urban landscape forms on PM_(2.5) in China from 2001 to 2020

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International Journal of Digital Earth 2023年第1期16卷 3417-3434页

作者： Shoutao Zhu Jiayi Tang Xiaolu Zhou peng Li Zelin Liu Cicheng Zhang Ziying Zou Tong Li changhui peng School of Geographic Sciences Hunan Normal UniversityChangshaPeople’s Republic of China Department of Biology Sciences Institute of Environment SciencesUniversity of Quebec at MontrealMontrealCanada

Urban landscape forms can be effective in reducing increasing PM_(2.5) concentrations due to urbanization in China,making it crucially important to accurately quantify the spatiotemporal impact of urban landscape forms on PM_(2.5) *** landscape indices and six control variables were selected to assess these impacts in 362 Chinese cities during different time scales from 2001 to 2020,using a spatiotemporal geographically weighted regression model,random forest models and partial dependence *** results show that there are spatiotemporal differences in the impacts of landscape indices on PM_(2.5).the proportion of urban green infrastructure(PLAND-UGI)and the fractal dimension of urban green infrastructure(FRACT-UGI)exacerbate PM_(2.5) concentrations in the northwest,the proportion of impervious surfaces(PLAND-Impervious)mitigates air pollution in northwest and southwest China,and shannon’s diversity index(SHDI)has seasonal differences in the ***-UGI is the landscape index with the largest contribution(30%)and interpretable *** relationship between FRACT and PM_(2.5) was more complex than for other landscape *** results of this study contribute to a deeper understanding of the spatial and temporal differences in the impact of urban landscape patterns on PM_(2.5),contributing to clean urban development and sustainable development.

关键词： Landscape index particulate matter spatiotemporal heterogeneity spatiotemporal geographically weighted regression model random forest

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Evaluating and quantifying the effect of various spruce budworm intervention strategies on forest carbon dynamics in Atlantic Canada

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Forest Ecosystems 2022年第4期9卷 547-557页

作者： Zelin Liu changhui peng David AMacLean Louis De Grandpre Jean-Noel Candau Daniel Kneeshaw School of Geographic Sciences Hunan Normal UniversityChangsha410081China Department of Biological Sciences University of Qu�ebec at MontrealMontrealQC H3C 3P8Canada Faculty of Forestry and Environmental Management University of New BrunswickFrederictonNB E3B 5A3Canada Laurentian Forestry Centre Canadian Forest ServiceNatural Resources CanadaQC G1V 4C7Canada Great Lake Forestry Centre Canadian Forest ServiceNatural Resources CanadaON P6A 2E5Canada

Spruce budworm (SBW) outbreaks are one of the most devastating natural disturbances in spruce-balsam fir forests of eastern North America. Both early intervention strategy (EIS) and foliage protection strategy (FP) are being tested to limit forest losses, but the quantitative impact on forest carbon (C) dynamics is still unclear. In this study, we designed 19 separate scenarios of no intervention or varying success of EIS, FP, and their combination on SBW caused defoliation and mortality. We then used the TRIPLEX-Insect model to quantify their effects on forest C dynamics in the forests of the four provinces of Atlantic Canada. A scenario applying FP to 10%of the area with the greatest potential C losses of living biomass, protecting foliage in 10%of the forests is more realistic than higher proportion of FP given the high cost and large areas involved, resulted in reducing average cumulative net ecosystem productivity (NEP) from 2020 to 2039 by 56%–127%compared to a no outbreak *** results showed that FP would have to be applied everywhere to reduce tree mortality and increase NEP more than 8 years of successful EIS applied. However, if EIS can be successfully implemented for 12 years, it will maintain more forest C than FP applied everywhere during a moderate outbreak. We also found that the combination of EIS followed by FP in 10%of the areas disturbed by the SBW could maintain average cumulative NEP at similar levels to no defoliation in every province of Atlantic Canada. Black/red spruce forests younger than 60years old underwent the smallest changes in C dynamics whether using EIS, FP, or both. This highlights the importance of forest species, forest age, and their interactions on the effectiveness of a treatment during SBW outbreak. Overall, 31%–76%of the study area in Atlantic Canada could convert from a C sink to a source by 2039,if no protective measures are used under the worst-case scenarios, thus contributing to future climate warming.

关键词： Annual defoliation Natural disturbance Forest protection Net ecosystem productivity TRIPLEX-Insect Conifers

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Plant functional trait diversity and structural diversity co-underpin ecosystem multifunctionality in subtropical forests

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Forest Ecosystems 2023年第2期10卷 153-161页

作者： Shuai Ouyang Mengmeng Gou Pifeng Lei Yue Liu Liang Chen Xiangwen Deng Zhonghui Zhao Yelin Zeng Yanting Hu changhui peng Wenhua Xiang Faculty of Life Science and Technology Central South University of Forestry and TechnologyChangsha410004China Huitong National Station for Scientific Observation and Research of Chinese Fir Plantation Ecosystems in Hunan Province Huitong438107China Ecology and Nature Conservation Institute Chinese Academy of ForestryBeijing100101China Institute of Environment Sciences Department of Biological SciencesUniversity of Quebec at MontrealMontrealQCH3C 3P8Canada

Tree species diversity is assumed to be an important component in managing forest ecosystems because of effects on multiple functions or ecosystem ***,the importance of tree diversity in determining multifunctionality in structurally complex subtropical forests relative to other regulators(e.g.,soil microbial diversity,stand structure,and environmental conditions)remains *** this study,effects of aboveground(species richness and functional and structural diversity)and belowground(bacterial and fungal diversity)biodiversity,functional composition(community-weighted means of species traits),stand structure(diameter at breast height and stand density),and soil factors(pH and bulk density)on multifunctionality(including biomass production,carbon stock,and nutrient cycling)were examined along a tree diversity gradient in subtropical *** community-weighted mean of tree maximum height was the best predictor of ecosystem *** diversity explained a higher proportion of the variation in multifunctionality than that of species richness and fungal *** structure-played an important role in modulating the effects of tree diversity on *** work highlights that species composition and maximizing forest structural complexity are effective strategies to increase forest multifunctionality while also conserving biodiversity in the management of multifunctional forests under global environmental changes.

关键词： Abiotic and biotic factors Biodiversity Functional composition Functional traits Soil microbial diversity Stand structure

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Responses of soil CH_(4) fluxes to nitrogen addition in two tropical montane rainforests in southern China

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Forest Ecosystems 2022年第3期9卷 335-343页

作者： Fangtao Wu changhui peng Chuanyao Wang Huai Chen Weiguo Liu Zhihao Liu Hui Wang Hong Li Dexiang Chen Yide Li Shirong Liu Center for Ecological Forecasting and Global Change College of ForestryNorthwest Agriculture and Forestry UniversityYangling712100China State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau College of ForestryNorthwest Agriculture and Forestry UniversityYangling712100China Department of Biology Sciences Institute of Environment SciencesUniversity of Quebec at MontrealC.P.8888Succ.Centre-VilleMontrealQCH3C 3P8Canada Chengdu Institute of Biology Chinese Academy of SciencesChengdu610041China School of Architecture and Urban Planning Chongqing UniversityChongqing400044China Jianfengling National Key Field Observation and Research Station for Forest Ecosystem Research Institute of Tropical ForestryChinese Academy of ForestryGuangzhou510520China Research Institute of Forest Ecology Environment and ProtectionChinese Academy of ForestryBeijing100091China

Background:Atmospheric nitrogen(N)deposition is projected to increase in the next few decades,which may have a marked impact on soil-atmosphere CH_(4) ***,the impacts of increased atmospheric N depositions on soil CH_(4) flux in tropical rainforests are still poorly *** January 2015 to December 2018,a field experiment was conducted in a primary tropical montane rainforest(PTMR)and a secondary tropical montane rainforest(STMR)in southern China to quantify the impact of N additions at four levels(N0:0 kg N⋅ha^(-1)⋅year^(-1);N25:25 kg N⋅ha^(-1)⋅year^(-1);N50:50 kg N⋅ha^(-1)⋅year^(-1);N100:100 kg N⋅ha^(-1)⋅year^(-1)on soil CH_(4) ***:Four years of measurements showed clear seasonal variations in CH_(4) flux in all treatment plots for both forest types(PTMR and STMR),with lower rates of soil CH_(4) uptake during the wet season and higher rates of soil CH_(4) uptake during the dry *** CH_(4) uptake rates were significantly and negatively correlated with both soil temperature and soil moisture for both forest *** CH_(4) uptake for the N0 plots from the PTMR and STMR soils were2.20 and1.98 kg N⋅ha^(-1)⋅year^(-1),*** the PTMR site,mean CH_(4) uptake compared with the N0 treatment was reduced by 19%,29%,and 36%for the N25,N50,and N100 treatments,*** the STMR site,mean CH_(4) uptake compared with the N0 treatment was reduced by 15%,18%,and 38%for the N25,N50,and N100 treatments,*** level N addition had a stronger inhibitory impact on soil CH_(4) uptake than did the low level N ***:Our data suggest that soil CH_(4) uptake in tropical rainforests is sensitive to N *** atmospheric N deposition continues to increase in the future,the soil CH_(4) sink strength of tropical rainforests may weaken further.

关键词： Atmospheric nitrogen deposition Greenhouse gases Soil CH_(4)flux Tropical rainforest

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Carbon fluxes and soil carbon dynamics along a gradient of biogeomorphic succession in alpine wetlands of Tibetan Plateau

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Fundamental Research 2023年第2期3卷 151-159页

作者： Hao Wang Lingfei Yu Litong Chen Zhenhua Zhang Xuefei Li Naishen Liang changhui peng Jin-Sheng He State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems College of EcologyLanzhou UniversityLanzhou 730000China Institute of Ecology College of Urban and Environmental Sciencesand Key Laboratory for Earth Surface Processes of the Ministry of EducationPeking UniversityBeijing 100871China State Key Laboratory of Vegetation and Environmental Change Institute of BotanyChinese Academy of SciencesBeijing 100093China Qinghai Haibei National Field Research Station of Alpine Grassland Ecosystem and Key Laboratory of Adaptation and Evolution of Plateau BiotaNorthwest Institute of Plateau BiologyChinese Academy of SciencesXining 810008China Institute for Atmospheric and Earth System Research(INAR)/Physics Faculty of ScienceUniversity of HelsinkiP.O.Box 68Helsinki FI-00014Finland Earth System Division National Institute for Environmental StudiesTsukubaIbaraki 305-8506Japan g Department of Biology Sciences Institute of Environment SciencesUniversity of Quebec at MontrealMontrealQC H3C 3P8Canada State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems College of Pastoral Agriculture Science and TechnologyLanzhou UniversityLanzhou 730000China

Hydrological changes under climate warming drive the biogeomorphic succession of wetlands and may trigger substantial carbon loss from the carbon-rich *** many studies have explored the responses of wetland carbon emissions to short-term hydrological change,it remains poorly understood how the carbon cycle evolves with hydrology-driven wetland ***,we used a space-for-time approach across hydrological gradients on the Tibetan Plateau to examine the dynamics of ecosystem carbon fluxes(carbon dioxide(CO_(2))and methane(CH4))and soil organic carbon pools during alpine wetland *** found that the succession from mesic meadow to fen changed the seasonality of both CO_(2) and CH4 fluxes,which was related to the shift in plant community composition,enhanced regulation of soil hydrology and increasing contribution of spring-thaw *** paludification caused a switch from net uptake of gaseous carbon to net release on an annual timescale but produced a large accumulation of soil organic *** attempted to attribute the paradox between evidence from the carbon fluxes and pools to the lateral carbon input and the systematic changes of historical climate,given that the wetlands are spatially low-lying with strong temporal climate-carbon cycle *** findings demonstrate a systematic change in the carbon cycle with succession and suggest that biogeomorphic succession and lateral carbon flows are both important for understanding the long-term dynamics of wetland carbon footprints.

关键词： Carbon dioxide Methane Soil organic carbon Climate change Hydrological change

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Soil microbial respiration is regulated by stoichiometric imbalances: Evidence from a humidity gradient case

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Pedosphere 2023年第6期33卷 905-915页

作者： Jiwei LI Jiangbo XIE Jianzhao WU Yongxing CUI Lingbo DONG Yulin LIU Xuying HAI Yan LI Zhouping SHANGGUAN Kaibo WANG changhui peng Lei DENG State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau College of Soil and Water Conservation Science and Engineering(Institute of Soil and Water Conservation)Northwest A&F UniversityYangling 712100China Institute of Soil and Water Conservation Chinese Academy of Sciences and Ministry of Water ResourcesYangling 712100China State Key Laboratory of Subtropical Silviculture Zhejiang A&F UniversityLin'an 311300China Sino-French Institute for Earth System Science College of Urban and Environmental SciencesPeking UniversityBeijing 100871China University of Chinese Academy of Sciences Beijing 100049China State Key Laboratory of Loess and Quaternary Geology Institute of Earth EnvironmentChinese Academy of SciencesXi'an 710061China Center of CEF/ESCER Department of Biological ScienceUniversity of Quebec at MontrealMontreal H3C 3P8Canada

Humidity not only affects soil microbial respiration(SMR) directly, but, indirectly by regulating the availability of soil water and nutrients. However,the patterns of direct and indirect effects of humidity on SMR over large precipitation gradients remain unclear, limiting our understanding of the effects of precipitation changes on soil C cycle. Here, we investigated the relationships among humidity, soil nutrients, and SMR by identifying stoichiometric imbalances, microbial elemental homeostasis, and microbial C use efficiency along a precipitation gradient at a continental scale. The relationship between SMR and humidity index(HI) corresponded to a Richard’s curve with an inflection point threshold value of approximately 0.7. Soil microbial respiration increased with increasing humidity in drier areas(HI 0.7). Soil microbial communities regulated their enzyme production to maintain a strong stoichiometric homeostasis in drier areas;enzyme production, microbial biomass, and threshold elemental ratios were non-homeostatic under P limitation in wetter areas, which further contributed to the increase in SMR. Our results identified a moisture constraint on SMR in drier areas and highlighted the importance of nutrient(especially for P) limitations induced by humidity in regulating SMR in wetter areas. Understanding the modulation of SMR via soil enzyme activity may improve the prediction of soil C budget under future global climate change.

关键词： carbon use efficiency ecological stoichiometry microorganisms nutrient limitations precipitation soil enzyme activities stoichiometric homeostasis

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Evaluating soil nutrients of Dacrydium pectinatum in China using machine learning techniques

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Forest Ecosystems 2020年第3期7卷 378-391页

作者： Chunyan Wu Yongfu Chen Xiaojiang Hong Zelin Liu changhui peng State Key Laboratory of Tree Genetics and Breeding Key Laboratory of Tree Breeding and Cultivation of the State Forestry AdministrationResearch Institute of ForestryChinese Academy of ForestryBeijing100091China Research Institute of Forest Resource Information Techniques Chinese Academy of ForestryBeijing100091China Hainan Bawangling National Natural Reserve Changjiang572722HainanChina Department of Biological Science Institute of Environment SciencesUniversity of Quebec at MontrealMontrealQCCanada

Background: The accurate estimation of soil nutrient content is particularly important in view of its impact on plant growth and forest regeneration. In order to investigate soil nutrient content and quality for the natural regeneration of Dacrydium pectinatum communities in China, designing advanced and accurate estimation methods is ***: This study uses machine learning techniques created a series of comprehensive and novel models from which to evaluate soil nutrient content. Soil nutrient evaluation methods were built by using six support vector machines and four artificial neural ***: The generalized regression neural network model was the best artificial neural network evaluation model with the smallest root mean square error(5.1), mean error(-0.85), and mean square prediction error(29). The accuracy rate of the combined k-nearest neighbors(k-NN) local support vector machines model(i.e. k-nearest neighbors-support vector machine(KNNSVM)) for soil nutrient evaluation was high, comparing to the other five partial support vector machines models investigated. The area under curve value of generalized regression neural network(0.6572) was the highest, and the cross-validation result showed that the generalized regression neural network reached 92.5%.Conclusions: Both the KNNSVM and generalized regression neural network models can be effectively used to evaluate soil nutrient content and quality grades in conjunction with appropriate model variables. Developing a new feasible evaluation method to assess soil nutrient quality for Dacrydium pectinatum, results from this study can be used as a reference for the adaptive management of rare and endangered tree species. This study, however, found some uncertainties in data acquisition and model simulations, which will be investigated in upcoming studies.

关键词： Support vector machine KNNSVM Generalized regression neural network Nutrient grade Rare and endangered tree species

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Meta-analysis and its application in global change research

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Chinese Science Bulletin 2007年第3期52卷 289-299,M0300-M0302页

作者： LEI XiangDong peng changhui TIAN DaLun SUN JianFeng Institute of Forest Resource Information Techniques Chinese Academy of Forestry Beijing 100091 China ECO-MCS Lab Institute of Environment Sciences University of Quebec at Montreal (UQAM) Montreal H3C 3P8 Canada Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China College of Life Science and Technology Central-South University of Forestry and Technology Changsha 410004 China

Meta-analysis is a quantitative synthetic research method that statistically integrates results from in- dividual studies to find common trends and differences. With increasing concern over global change, meta-analysis has been rapidly adopted in global change research. Here, we introduce the methodolo- gies, advantages and disadvantages of meta-analysis, and review its application in global climate change research, including the responses of ecosystems to global warming and rising CO2 and O3 concentrations, the effects of land use and management on climate change and the effects of distur- bances on biogeochemistry cycles of ecosystem. Despite limitation and potential misapplication, meta-analysis has been demonstrated to be a much better tool than traditional narrative review in synthesizing results from multiple studies. Several methodological developments for research synthe- sis have not yet been widely used in global climate change researches such as cumulative meta-analysis and sensitivity analysis. It is necessary to update the results of meta-analysis on a given topic at regular intervals by including newly published studies. Emphasis should be put on multi-factor interaction and long-term experiments. There is great potential to apply meta-analysis to global climate change research in China because research and observation networks have been established (e.g. ChinaFlux and CERN), which create the need for combining these data and results to provide support for governments’ decision making on climate change. It is expected that meta-analysis will be widely adopted in future climate change research.

关键词：全球变暖气候变化元分析生态系统 CO2浓度

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