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Changes in Global vegetation distribution and Carbon Fluxes in Response to Global Warming:Simulated Results from IAP-DGVM in CAS-ESM2

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Advances in Atmospheric Sciences 2022年第8期39卷 1285-1298,I0002-I0010页

作者： Xiaofei GAO Jiawen ZHU Xiaodong ZENG Minghua ZHANG Yongjiu DAI Duoying JI He ZHANG International Center for Climate and Environment Sciences Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China University of Chinese Academy of Sciences Beijing 100049China Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science and TechnologyNanjing 210044China School of Marine and Atmospheric Sciences Stony Brook UniversityNY 11790USA School of Atmospheric Sciences Sun Yat-Sen UniversityGuangzhou 510275China College of Global Change and Earth System Science Beijing Normal UniversityBeijing 100875China

Terrestrial ecosystems are an important part of Earth systems,and they are undergoing remarkable changes in response to global warming.This study investigates the response of the terrestrial vegetation distribution and carbon fluxes to global warming by using the new dynamic global vegetation model in the second version of the Chinese Academy of Sciences(CAS)Earth System Model(CAS-ESM2).We conducted two sets of simulations,a present-day simulation and a future simulation,which were forced by the present-day climate during 1981-2000 and the future climate during 2081-2100,respectively,as derived from RCP8.5 outputs in CMIP5.CO_(2)concentration is kept constant in all simulations to isolate CO_(2)-fertilization effects.The results show an overall increase in vegetation coverage in response to global warming,which is the net result of the greening in the mid-high latitudes and the browning in the tropics.The results also show an enhancement in carbon fluxes in response to global warming,including gross primary productivity,net primary productivity,and autotrophic respiration.We found that the changes in vegetation coverage were significantly correlated with changes in surface air temperature,reflecting the dominant role of temperature,while the changes in carbon fluxes were caused by the combined effects of leaf area index,temperature,and precipitation.This study applies the CAS-ESM2 to investigate the response of terrestrial ecosystems to climate warming.Even though the interpretation of the results is limited by isolating CO_(2)-fertilization effects,this application is still beneficial for adding to our understanding of vegetation processes and to further improve upon model parameterizations.

关键词： global warming vegetation distribution carbon flux leaf area index surface air temperature

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A high-precision hydrodynamic model coupled with the hydrological habitat suitability model to reveal estuarine vegetation distribution

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Journal of Hydrodynamics 2022年第3期34卷 451-466页

作者： Qiao-feng Ma Shu-xiu Liang Zhao-chen Sun Wen-hao Hou Xin-yue Hu Rui-jin Zhang State Key Laboratory of Coastal and Offshore Engineering Dalian University of TechnologyDalian116024China School of Marine Science and Environment Engineering Dalian Ocean UniversityDalian116023China Operational Oceanographic Institution Dalian Ocean UniversityDalian116023China

In this paper,based on the finite volume method,a high-precision hydrodynamic model coupled with the habitat suitability model is established,and the computational efficiency of the coupled model is improved by a graphics processing unit(GPU)-accelerated technology.The coupled model is used to solve the problem of the non-conservation of mass that may be caused by the nearshore hydrodynamic model in the processing of wetting and drying,while avoiding the unphysical high velocities at the wetting and drying boundaries.The coupled model is applied to simulate the high-precision hydrodynamic process of the Liao River estuary(LRE)and the hydrological habitat suitability of the estuarine vegetation(Suaeda heteroptera)growing in the LRE.The simulated values of the hydrological variables(the water level,the water depth,the current velocity and direction)are highly consistent with the measured values.The root mean square errors(RMSE)of the hydrological variables are 0.10m,0.12m/s and 17.24°,respectively.Furthermore,the simulated combined suitability index(CSI)distribution of Suaeda heteroptera(S.heteroptera)matches with the distribution of S.heteroptera obtained from the high-resolution remote sensing satellite images during the same time period.The ratio of the simulated weighted usable area(WUA)of S.heteroptera to the area obtained from the remote sensing satellite images during the same period is 81.9%.This study reveals the phenomenon that the distribution of S.heteroptera in the LRE is highly correlated with the high-precision hydrodynamic processes,and provides a scientific basis and a valuable reference for the conservation and the restoration of the estuarine vegetation.

关键词： High-precision hydrodynamic model habitat suitability model conversation of mass weighted usable area vegetation distribution

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Evaluating the performance of CMIP6 Earth system models in simulating global vegetation structure and distribution

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Advances in Climate Change Research 2021年第6期12卷 584-595页

作者： SONG Xiang WANG Dan-Yun LI Fang ZENG Xiao-Dong International Center for Climate and Environment Sciences Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing100029China University of Chinese Academy of Sciences Beijing100049China Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science&TechnologyNanjing210044China

Evaluation of vegetation structure and distribution simulations in Earth system models(ESMs)is the basis for understanding historical reconstruction and future projection of changes in terrestrial ecosystems,carbon cycle,and climate based on these ESMs.Such assessments can also provide important information of models'merits and shortcomings or systematic biases,and so clues for model development.vegetation structure and distribution in ESMs are primarily characterized by three variables:leaf area index(LAI),tree height,and fractional coverage of plant functional type(PFT).However,for the ongoing Coupled Model Intercomparison Project Phase 6(CMIP6),only temporal variabilities of global-averaged LAI time series were evaluated,others remain largely uninvestigated.This study systematically investigates the spatial and/or temporal variability of the three critical variables from 27 ESMs in CMIP6 using satellite observations.Our results show that all models and the multi-model ensemble mean(MME)can generally reproduce the observed LAI spatial pattern but all of them overestimate the global mean LAI mainly due to overestimation of LAI in non-forested vegetated areas.Most CMIP6 models fail to capture the temporal variability in the annual LAI because of large biases in both the simulated trend magnitude and temporal pattern of interannual variability.The average LAI seasonal cycles in different latitude zones are roughly reproduced by the models,but 1-2 months delays in the LAI peak appear in the Arctic-boreal zone.Additionally,CMIP6 models overall overestimate tree height,and largely overestimate the global grass area but underestimate tree and shrub areas,especially in the middle and high latitudes.It should be kept in mind that such biases may have further impacts on the simulations of the related carbon and land-atmosphere interaction variables(e.g.,ecosystem production,carbon storage,transpiration,and temperature)for global change research.Hence,bias-correction should be made to improve reliability of vegetation str

关键词： Earth system model CMIP6 Leaf area index vegetation distribution Tree height

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vegetation distribution on Tibetan Plateau under Climate Change Scenario

Vegetation Distribution on Tibetan Plateau under Climate Cha...

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地理学核心问题与主线——中国地理学会2011年学术年会...

作者： Zhao Dongsheng Wu Shaohong Yin Yunhe Yin ZhiYong (1 Institute of Geographical Sciences and Natural Resources Research,CAS,Beijing,100101 2 Institute of Tibetan Plateau Research,CAS,Beijing,100085 3 Marine Science and Environmental Studies,University of San Diego,San Diego,CA,92110,USA)

＜正＞The impact of climate change on distribution of vegetation is an important aspect in studies on the responses of ecosystems to the climate change.Particularly in the sensitive environments of the Tibetan Plateau, vegetation distribution may be significantly affected by climate change.In this research,the coupled biogeography and biogeochemistry model,BIOME4,was modified according to the features of vegetation distribution on the Plateau,and the Kappa statistic was used to evaluate the modeling results by comparing the simulated vegetation distribution with the existing 1:1,000,000 vegetation map of China.The comparison showed that modified model was appropriate for simulating the overall vegetation distribution on the Plateau.With the improved BIOME4 model,possible changes in the vegetation distribution were simulated under climate change scenarios.The simulated results suggest that alpine meadows,steppes,and alpine sparse/ cushion vegetation and deserts would shrink,while shrubs,broad-leaved forests,coniferous-broadleaved mixed forests,and coniferous forests would expand.Amongst these types,shrubs,alpine meadows and steppes would change the most.The shrubs vegetation would expand toward the northwest,replacing most alpine meadows and part of steppes,and thus causing their shrinkages.Yet broad-leaved forests and coniferous-broadleaved mixed forests demonstrated smaller changes in their distributions. For all the forest types,the area of coniferous forests would increase the most by spreading to the interior of the Plateau.

关键词： vegetation distribution BIOME4 model Tibetan Plateau responses of vegetation to climate change

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Surface pollen and modern vegetation in Southern Xinjiang,China

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Science China Earth Sciences 2024年第2期67卷 510-530页

作者： Yun ZHANG Lixin CHEN Yaoyao XI Zhaochen KONG Xianguo QIAO State Key Laboratory of Black Soils Conservation and Utilization Northeast Institute of Geography and AgroecologyChinese Academy of SciencesChangchun130102China Institute of Botany Chinese Academy of SciencesBeijing100093China Key Laboratory of Cenozoic Geology and Environment Institute of Geology and GeophysicsChinese Academy of SciencesBeijing100029China University of Chinese Academy of Sciences Beijing100049China School of Geosciences and Resources China University of Geosciences(Beijing)Beijing100083China

The study of modern pollen,and vegetation can improve the accuracy of paleoenvironmental reconstruction based on fossil pollen data.A total of 188 pollen surface samples were collected from Southern Xinjiang(34°00’–43°00’N,74°00’–94°00’E)in China,with an elevation range of 888–4530 m.Surface pollen and vegetation were studied in the northern region of the Kunlun Mountains and the southern region of the Tianshan Mountains.The results showed that the surface pollen assemblages on the southern slope of the Tianshan Mountains(3530–1124 m)were divided into three pollen zones,namely,montane steppe,montane desert steppe,and montane desert.These zones were dominated by Artemisia,Chenopodiaceae,and Ephedra pollen.The surface pollen assemblages in the eastern Pamir Plateau(4530–1287 m)could be divided into alpine meadow,montane desert steppe,and montane desert zones,which were predominantly characterized by Artemisia,Chenopodiaceae,and Asteraceae pollen.However,the Southern Tarim Basin(3548–888 m)comprised montane desert steppe and montane desert zones,which was dominated by Artemisia and Chenopodiaceae pollen.The geographic distribution of the surface pollen sites obtained using ArcGIS,the R-value,and Pearson correlation analyses indicated that the over-represented Picea and Pinus pollen were of external origin and were transported by wind,water(rivers),and ice(glacier movement).Over-representation of Ephedra and Nitraria pollen was mainly distributed in the montane desert and desert steppe zones,respectively.Pollen from Chenopodiaceae and Artemisia were over-represented and broadly distributed across Southern Xinjiang.Juglans pollen was concentrated in areas with walnut trees,strongly indicating the presence of local parent plants.According to the Hybrid Singleparticle Lagrangian Integrated Trajectory model,more Pinus pollen was transported to the Pamir region by external airflows during spring and summer,resulting in its higher surface pollen content.Research elucidating the relationship between modern pollen and vegeta

关键词： Surface pollen vegetation distribution Picea Southern Xinjiang

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The distribution of vegetation and Its Relationship with Environmental Factors in the Yellow River Estuarine Wetland

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Meteorological and Environmental Research 2012年第10期3卷 15-19页

作者： KOU Ming-juan LIU Jia-zhen CHEN Yong-jin ZHU Hai-yong LU Ya-kun LU Ming School of Environment and Planning Liaocheng University

[ Objective] The aim was to study the distribution of vegetation and its relationship with environmental factors in Yellow River estuarine wetland. [ Method] According to the data of the plant sample investigation and the related environmental factors in Yellow River Delta National Na- ture Reserve in 2009 -2010, the plant community changes and its relationship with environmental factors in temperate estuary wetland were ana- lyzed. [Result] There was little vegetation in the Yellow River delta and the distribution of plant was influenced by environment. Judging from the vegetation structure, the vertical structure of vegetation in the supralittoral zone zone vegetation cover included arbor layer, shrub layer and grass layer. The importance of grass was larger than shrub and arbor. In the intertidal zone, the vertical structure of plants was divided into shrub and herb layers. Judging from the variety, the species in the supralittoral zone was higher than that in the intertidal. The first principal component elected by Principal Component Analysis better reflects the salt of the study area, and the second principal component better reflects nutrient information. Regression analysis showed a positive correlation between importance value and the total salt content and electrical conductivity. In other words, if the total salt content and electrical conductivity increases, the importance value rose. However, the diversity index decreased as the total salt con- tent and electrical conductivity increased. [ Conclusion] The study provided theoretical basis for the ecological protection of vegetations and formula- tion of regional policies.

关键词： The Yellow River Delta vegetation distribution Environmental factor China

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The influence of soil compaction in explaining spatial heterogeneity of different larch forest types: a preliminary study

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Journal of Forestry Research 2020年第6期31卷 2395-2401页

作者： Yuan Tian Qiuliang Zhang Xuan Liu Department of Forest Management College of ForestryInner Mongolia Agricultural UniversityHohhot 010019Inner Mongolia Autonomous RegionPeople’s Republic of China

Compacted soil has an adverse effect on plant roots and affects water and nutrient availability.However,different degrees of soil compaction may be suitable for growth and development of different understory species.This study determined whether soil compaction could explain characteristics of 10 different Dahurian larch(Larix gmelinii Rupr.)forest types in the Daxing’anling area.The relationship of soil compaction to soil depth was also studied.Forty-five tests were conducted on soil compaction of the 10 forest types with multiple comparisons,of which five showed no significant differences.At different soil depths,there were significant differences in soil compaction among forest types.The correlation between the degree of soil compaction and depth was positive and significant.The Larix gmelinii—shrub forest type,L.gmelinii—herb forest type,and L.gmelinii—swamp forest type were significantly different in soil compaction according to soil depth.This research indicates that,as a physical property,soil compaction may.

关键词： vegetation distribution Biogeocenosis Species response Forest management Soil compaction

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Effect of seasonal snow on the start of growing season of typical vegetation in Northern Hemisphere

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Geography and Sustainability 2022年第3期3卷 268-276页

作者： Xiaodan Guan Shuyang Guo Jianping Huang Xiaohan Shen Li Fu Guolong Zhang Collaborative Innovation Center for Western Ecological Safety College of Atmospheric SciencesLanzhou UniversityLanzhou 730000China

Under global warming, seasonal snow takes faster melting rate than before, which greatly changes the hydro-logical cycle. In this study, by targeting three typical seasonal snow-covered land types (i.e., open shrubland,evergreen needleleaf forest and mixed forest) in the Northern Hemisphere, the start of growing season (SGS) hasbeen found obviously advanced in the past years, greatly contributed by the faster melting rate of seasonal snow.It is manifested that significantly positive correlation has been found between SGS and May snow depth for openshrubs, March and April snow depth for evergreen needleleaf forests and March snow depth for mixed forests.However, such close association is not appeared in all the climate conditions of same vegetation. In the future,as the rate of melting snow becomes faster in the high emission of greenhouse gasses than the current situation,continuously advanced SGS will accelerate the change of vegetation distribution in the Northern Hemisphere.These findings offer insights into understanding the effect from seasonal snow on vegetation and promote thesustainable utilization of regional vegetation in the Northern Hemisphere.

关键词： vegetation distribution Start of growing season(SGS) Snow depth Climate condition Northern hemisphere(NH)

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Variations and controlling factors of vegetation dynamics on the Qingzang Plateau of China over the recent 20 years

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Geography and Sustainability 2021年第1期2卷 74-85页

作者： Xiao Zhang Jun Wang Yan Gao Lixin Wang Key Laboratory of Land Consolidation and Rehabilitation Land Consolidation and Rehabilitation CenterMinistry of Natural ResourcesBeijing 100035China Department of Earth Sciences Indiana University–Purdue University Indianapolis(IUPUI)Indianapolis IN 46202USA

The impacts of climate change and human activities on vegetation dynamics have attracted wide attention,espe-cially in sensitive and vulnerable areas such as the Qingzang Plateau of China.In this region,a series of ecological restoration projects have been launched while the effectiveness of these projects requires evaluation and further improvements.Remote sensing with high temporal resolution and spatial coverage is an effective way for the vegetation dynamics research in this region.In this study,the spatial and temporal distribution of climate factors and vegetation coverage as well as the influencing factors such as air temperature,precipitation,land use,slope,slope direction,soil and altitude were analyzed.The geographical detector was used to analyze the influence of climate factors on vegetation coverage and the interaction among factors in different eco-geographical regions.The results showed that:1)the average values from the 20 years of normalized difference vegetation index(NDVI)decreased gradually from southeast(>0.61)to northwest(0.12).The overall average of NDVI increased 0.02 per year from 1998 to 2018 and the impact factors varied among different eco-geographical regions;2)some con-trolling factors showed nonlinear enhancement such as altitude and slope;3)land use was an important factor affecting the distribution of vegetation especially in humid,semi-arid and arid areas,but the impacts of elevation and temperature were stronger than land use types in semi-humid and humid areas.The design and construc-tion of ecological protection and restoration projects on the Qingzang Plateau required scientific and detailed demonstration as well as monitoring and evaluation.In addition,new tools and theories were also needed in the selection of ecosystem restoration strategies.Based on the findings,this study also provides suggestions for the sustainable ecological restoration on the Qingzang Plateau.

关键词： vegetation distribution Geo-detector Ecohydrology Ecological restoration Qingzang Plateau

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Evaluation of the New Dynamic Global vegetation Model in CAS-ESM

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Advances in Atmospheric Sciences 2018年第6期35卷 659-670页

作者： Jiawen ZHU Xiaodong ZENG Minghua ZHANG Yongjiu DAI Duoying JI Fang LI Qian ZHANG He ZHANG Xiang SONG International Center for Climate and Environment Sciences Institute of Atmospheric PhysicsChinese Academy of Sciences Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science and Technology School of Marine and Atmospheric Sciences Stony Brook University School of Atmospheric Sciences Sun Yat-Sen University College of Global Change and Earth System Science Beijing Normal University

In the past several decades, dynamic global vegetation models（DGVMs） have been the most widely used and appropriate tool at the global scale to investigate vegetation-climate interactions. At the Institute of Atmospheric Physics, a new version of DGVM（IAP-DGVM） has been developed and coupled to the Common Land Model（CoLM） within the framework of the Chinese Academy of Sciences＇ Earth System Model（CAS-ESM）. This work reports the performance of IAP-DGVM through comparisons with that of the default DGVM of CoLM（CoLM-DGVM） and observations. With respect to CoLMDGVM, IAP-DGVM simulated fewer tropical trees, more ＂needleleaf evergreen boreal tree＂ and ＂broadleaf deciduous boreal shrub＂, and a better representation of grasses. These contributed to a more realistic vegetation distribution in IAP-DGVM,including spatial patterns, total areas, and compositions. Moreover, IAP-DGVM also produced more accurate carbon fluxes than CoLM-DGVM when compared with observational estimates. Gross primary productivity and net primary production in IAP-DGVM were in better agreement with observations than those of CoLM-DGVM, and the tropical pattern of fire carbon emissions in IAP-DGVM was much more consistent with the observation than that in CoLM-DGVM. The leaf area index simulated by IAP-DGVM was closer to the observation than that of CoLM-DGVM; however, both simulated values about twice as large as in the observation. This evaluation provides valuable information for the application of CAS-ESM, as well as for other model communities in terms of a comparative benchmark.

关键词： vegetation dynamics dynamic global vegetation model vegetation distribution carbon flux leaf area index

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