Boreal peatlands represent a large global carbon pool. The relationships between carbon mineralization, soil temperature and moisture in the permafrost peatlands of the Great Hing＇an Mountains, China, were examined. ...Boreal peatlands represent a large global carbon pool. The relationships between carbon mineralization, soil temperature and moisture in the permafrost peatlands of the Great Hing＇an Mountains, China, were examined. The CO2 emissions were measured during laboratory incubations of samples from four sites under different temperatures （5, 10, 15, and 20℃） and moisture contents （0%, 30%, 60%, 100% water holding capacity （WHC） and completely water saturated）. Total carbon mineralization ranged from 15.51 to 112.92 mg C under the treatments for all sites. Carbon mineralization rates decreased with soil depth, increased with temperature, and reached the highest at 60% WHC at the same temperature. The calculated temperature coefficient （Q10） values ranged from 1.84 to 2.51 with the soil depths and moisture. However, the values were not significantly affected by soil moisture and depth for all sites due to the different peat properties （P 〉 0.05）. We found that the carbon mineralization could be successfully predicted as a two-compartment function with temperature and moisture （R^2 〉 0.96） and total carbon mineralization was significantly affected by temperature and moisture （P 〈 0.05）. Thus, temperature and moisture would play important roles in carbon mineralization of permafrost peatlands in the Great Hing＇an Mountains, indicating that the permafrost peatlands would be sensitive to the environment change, and the permafrost peatlands would be potentially mineralized under future climate change.展开更多
Herbaceous marsh is the most widely distributed type of marsh wetland ecosystem,and has important ecological functions such as water conservation,climate regulation,carbon storage and fixation,and sheltering rare spec...Herbaceous marsh is the most widely distributed type of marsh wetland ecosystem,and has important ecological functions such as water conservation,climate regulation,carbon storage and fixation,and sheltering rare species.The carbon sequestration function of herbaceous marsh plays a key role in slowing climate warming and maintaining regional environmental stability.Vegetation biomass is an important index reflecting the carbon sequestration capacity of wetlands.Investigating the biomass of marsh vegetation can provide a scientific basis for estimating the carbon storage and carbon sequestration capacity of marshes.Based on field survey data of aboveground biomass of herbaceous marsh vegetation and the distribution data set of marsh in China,we analyzed the aboveground biomass and its spatial distribution pattern of herbaceous marsh on a national scale for the first time.The results showed that in China the total area of herbaceous marsh was 9.7×10^(4) km^(2),the average density of aboveground biomass of herbaceous marsh vegetation was 227.5±23.0 g C m-2(95%confidence interval,the same below),and the total aboveground biomass was 22.2±2.2 Tg C(1 Tg=1012 g).The aboveground biomass density of herbaceous marsh vegetation is generally low in Northeast China and the Tibetan Plateau,and high in central North China and coastal regions in China.In different marsh distribution regions of China,the average biomass density of herbaceous marsh vegetation from small to large was as follows:temperate humid and semi-humid marsh region(182.3±49.3 g C m^(-2))<Tibetan Plateau marsh region(243.9±26.6 g C m-2)<temperate arid and semi-arid marsh region(300.5±73.2 g C m-2)<subtropical humid marsh region(348.4±59.0 g C m-2)<coastal marsh region(675.4±73.8 g C m-2). Due to the different area of herbaceous marsh, the total aboveground biomass of herbaceous marsh vegetation in different marsh distribution regions was the largest in the temperate humid and semi-humid marsh region(9.6±2.6 Tg C), and was the smallest in the coastal marsh region(1.1±0.1 Tg C). The spatial distribution of aboveground biomass of herbaceous marsh vegetation in China has obvious non-zonality characteristics, but also presents certain zonality in some regions. The aboveground biomass of herbaceous marsh vegetation in the Tibetan Plateau decreased with the increase of altitude. With the aggravation of drought, the aboveground biomass of herbaceous marsh vegetation in temperate humid and semi-humid regions and temperate arid and semi-arid regions decreased first and then did not obviously change. The aboveground biomass of herbaceous marsh vegetation in temperate humid and semi-humid regions was relatively larger in the regions with higher average annual temperature. The results can provide scientific basis for accurately evaluating the adjustment action of wetland ecosystems on climate, and provide decision support for adaptive management of wetland ecosystems.展开更多
Vegetation maps are important sources of information for biodiversity conservation,ecological studies,vegetation management and restoration,and national strategic decision making.The current Vegetation Map of China(1:...Vegetation maps are important sources of information for biodiversity conservation,ecological studies,vegetation management and restoration,and national strategic decision making.The current Vegetation Map of China(1:1000000)was generated by a team of more than 250 scientists in an effort that lasted over 20 years starting in the 1980s.However,the vegetation distribution of China has experienced drastic changes during the rapid development of China in the last three decades,and it urgently needs to be updated to better represent the distribution of current vegetation types.Here,we describe the process of updating the Vegetation Map of China(1:1000000)generated in the 1980s using a‘‘crowdsourcing-change detection-classification-expert knowledge"vegetation mapping strategy.A total of 203,024 field samples were collected,and 50 taxonomists were involved in the updating process.The resulting updated map has 12 vegetation type groups,55 vegetation types/subtypes,and 866 vegetation formation/sub-formation types.The overall accuracy and kappa coefficient of the updated map are 64.8%and 0.52 at the vegetation type group level,61%and 0.55 at the vegetation type/subtype level and 40%and 0.38 at the vegetation formation/sub-formation level.When compared to the original map,the updated map showed that 3.3 million km^2 of vegetated areas of China have changed their vegetation type group during the past three decades due to anthropogenic activities and climatic change.We expect this updated map to benefit the understanding and management of China’s terrestrial ecosystems.展开更多
Background:Wetland loss is a global concern due to its enormous ecosystem services.Marshland,a typical natural wetland,which is concentrated in the Sanjiang Plain,has undergone dramatic loss in the last several decade...Background:Wetland loss is a global concern due to its enormous ecosystem services.Marshland,a typical natural wetland,which is concentrated in the Sanjiang Plain,has undergone dramatic loss in the last several decades.The spatiotemporal changes in marshland were studied based on Landsat images of the Sanjiang Plain from 1980 to 2016 with the land use maps in 1980,1995,2000,2005,2010,and 2016 using land use dynamic degree and landscape indices.The driving forces of marshland loss,including biophysical factors,socio-economic factors,and land management,were analyzed with boosted regression trees(BRTs)methods.Results:The area of marshland loss was 7372 km^(2),which accounted for 65.7%of the area of marshland in 1980;however,the paddy field area was expanded by 22,313 km^(2).The lost marshland was mainly converted to dry farmland(47.5%)and paddy field(47.2%)during 1980-2016.Both the landscape pattern of the study area and marshland became increasingly fragmented.The relatively important factors responsible for marshland loss were biophysical factors,socio-economic factors,and land management,which accounted for 65.2%,25.5%,and 8.4%,respectively.The most important driving forces with high“relative influence”were“distance to river,”which accounted for 20.6%of the total variance explained.The“relative influence”of potential crop yield and ditch density reached 20.2%and 8.4%,respectively.Conclusion:Significant land use changes have occurred in the Sanjiang Plain over the past 37 years,with characteristics of rapid paddy field expansion and drastic marshland loss.Meanwhile,marshland fragmentation continued to increase.Reclamation was the main reason for the large-scale marshland loss.Biophysical factors influenced the decisions regarding the locations of marshland loss.Moreover,climate factors(i.e.,average annual precipitation and average annual temperature)also played an important role in marshland loss.These results can provide helpful knowledge for understanding the patterns and reasons for marshland loss and protecting and managing strategies for wetlands restoration.展开更多
Background:Soil microorganisms in the thawing permafrost play key roles in the maintenance of ecosystem function and regulation of biogeochemical cycles.However,our knowledge of patterns and drivers of permafrost micr...Background:Soil microorganisms in the thawing permafrost play key roles in the maintenance of ecosystem function and regulation of biogeochemical cycles.However,our knowledge of patterns and drivers of permafrost micro-bial communities is limited in northeastern China.Therefore,we investigated the community structure of soil bacteria in the active,transition and permafrost layers based on 90 soil samples collected from 10 sites across the continuous permafrost region using high-throughput Illumina sequencing.Results:Proteobacteria(31.59%),Acidobacteria(18.63%),Bacteroidetes(9.74%),Chloroflexi(7.01%)and Actinobacteria(6.92%)were the predominant phyla of the bacterial community in all soil layers;however,the relative abundances of the dominant bacterial taxa varied with soil depth.The bacterial community alpha-diversity based on the Shannon index and the phylogenetic diversity index both decreased significantly with depth across the transition from active layer to permafrost layer.Nonmetric multidimensional scaling analysis and permutation multivariate analysis of variance revealed that microbial community structures were significantly different among layers.Redundancy analysis and Spearman’s correlation analysis showed that soil properties differed between layers such as soil nutrient content,temperature and moisture mainly drove the differentiation of bacterial communities.Conclusions:Our results revealed significant differences in bacterial composition and diversity among soil layers.Our findings suggest that the heterogeneous environmental conditions between the three soil horizons had strong influences on microbial niche differentiation and further explained the variability of soil bacterial community structures.This effort to profile the vertical distribution of bacterial communities may enable better evaluations of changes in microbial dynamics in response to permafrost thaw,which would be beneficial to ecological conservation of permafrost ecosystems.展开更多
Introduction:One of the most striking features of urbanization is the replacement of the original natural land cover type by artificial impervious surface area(ISA).However,the extent of the contribution of various en...Introduction:One of the most striking features of urbanization is the replacement of the original natural land cover type by artificial impervious surface area(ISA).However,the extent of the contribution of various environmental factors,especially the growth of 3D space to ISA expansion,and the scope and mechanism of their influences in dramatically expanding cities,are yet to be determined.The boosted regression tree(BRT)model was adopted to analyze the main influencing factors and driving mechanisms of ISA change in Shenyang,China between 2010 and 2017.Outcomes:The nearly complete-coverage ISA(≥0.7)increased from 42%in 2010 to 47%in 2017.The percentage of landscape with a high ISA fraction increased,while the landscape evenness and diversity of ISA decreased.The BRT analysis revealed that elevation,regional population density,and landscape class had the largest influences on the change of urban ISA,contributing 22.55%,18.16%,and 11.18%to the model,respectively.Conclusion:Overall,topographic and socioeconomic factors had the greatest influence on urban ISA change in Shenyang,followed by land use type and building pattern indices.The trend of high aggregation was strong in large commercial and residential areas.The 3D expansion of the city had an influence on its areal expansion.展开更多
The vertical distribution of air pollutants in urban street canyons is closely related to residents’health.However,the vertical air quality in urban street canyons has rarely been assessed using field observations ob...The vertical distribution of air pollutants in urban street canyons is closely related to residents’health.However,the vertical air quality in urban street canyons has rarely been assessed using field observations obtained throughout the year.Therefore,this study investigated the seasonal and annual concentrations of particulate matter(PM2.5 and PM10),CO,NO_(2),SO_(2),O_(3),air quality index,and their responses to microclimatic factors at three height levels(1.5,27,and 69 m above street level)in an urban street canyon.The PM concentration was higher at 27 m than at 1.5 m in winter,whereas the situation was reversed in other seasons.It was found that photochemical pollutants such as NO_(2) and O_(3) were the primary pollutants in the urban street canyon.The days on which O3 was the primary pollutant at the height of 1.5 m accounted for 81.07% of the entire year.The days on which NO_(2) was the primary pollutant at the height of 27 and 69 m accounted for 82.49% and 72.33%of the entire year,respectively.Substantially higher concentrations of NO2 and O_(3) were found at the height of 27 m than at 69 m.In-canyon concentrations of NO_(2) and O_(3) were strongly correlated with air temperature,wind speed,and wind direction,which played important roles in photochemical reactions and pollutant dispersion.展开更多
Urbanization has introduced a series of environmental problems worldwide,and particulate matter(PM)is one of the main threats to human health.Due to the lack of high-resolution,large-scale monitoring data,few studies ...Urbanization has introduced a series of environmental problems worldwide,and particulate matter(PM)is one of the main threats to human health.Due to the lack of high-resolution,large-scale monitoring data,few studies have analyzed the intraurban spatial distribution pattern of PM at a fine scale.In this study,portable air monitors carried by five taxis were used to collect the concentrations of PM1,PM2.5 and PM10 for five months in Shenyang during the heating season.The results showed that high concentrations of PM were distributed in the suburbs,while relatively low concentration areas were found in the central area.Agricultural,industrial and development zones had higher concentration values among the eight observed types.The PM concentration exhibited strong spatial autocorrelation based on Moran’s I index analysis.Meteorological factors were the most important influencing factors of the three pollutants,and their total contribution rate accounted for more than 80%among the 13 factors according to boosted regression trees analysis.The taxi monitoring method we proposed was a more efficient and feasible method for monitoring urban air pollution and could obtain higher spatial-temporal resolution data at a lower cost to elucidate the region’s dynamic air pollution distribution patterns.展开更多
基金supported by the National Natural Science Foundation of China (No. 40671013,40871245)
文摘Boreal peatlands represent a large global carbon pool. The relationships between carbon mineralization, soil temperature and moisture in the permafrost peatlands of the Great Hing＇an Mountains, China, were examined. The CO2 emissions were measured during laboratory incubations of samples from four sites under different temperatures （5, 10, 15, and 20℃） and moisture contents （0%, 30%, 60%, 100% water holding capacity （WHC） and completely water saturated）. Total carbon mineralization ranged from 15.51 to 112.92 mg C under the treatments for all sites. Carbon mineralization rates decreased with soil depth, increased with temperature, and reached the highest at 60% WHC at the same temperature. The calculated temperature coefficient （Q10） values ranged from 1.84 to 2.51 with the soil depths and moisture. However, the values were not significantly affected by soil moisture and depth for all sites due to the different peat properties （P 〉 0.05）. We found that the carbon mineralization could be successfully predicted as a two-compartment function with temperature and moisture （R^2 〉 0.96） and total carbon mineralization was significantly affected by temperature and moisture （P 〈 0.05）. Thus, temperature and moisture would play important roles in carbon mineralization of permafrost peatlands in the Great Hing＇an Mountains, indicating that the permafrost peatlands would be sensitive to the environment change, and the permafrost peatlands would be potentially mineralized under future climate change.
基金supported by the National Science&Technology Fundamental Resources Investigation Program of China(Grant No.2013FY111800)the National Natural Science Foundation of China(Grant Nos.41971065 and U19A2042)the Key Research Program of Frontier Sciences,Chinese Academy of Sciences(Grant No.ZDBS-LY7019),the Youth Innovation Promotion Association,Chinese Academy of Sciences(Grant No.2019235)。
文摘Herbaceous marsh is the most widely distributed type of marsh wetland ecosystem,and has important ecological functions such as water conservation,climate regulation,carbon storage and fixation,and sheltering rare species.The carbon sequestration function of herbaceous marsh plays a key role in slowing climate warming and maintaining regional environmental stability.Vegetation biomass is an important index reflecting the carbon sequestration capacity of wetlands.Investigating the biomass of marsh vegetation can provide a scientific basis for estimating the carbon storage and carbon sequestration capacity of marshes.Based on field survey data of aboveground biomass of herbaceous marsh vegetation and the distribution data set of marsh in China,we analyzed the aboveground biomass and its spatial distribution pattern of herbaceous marsh on a national scale for the first time.The results showed that in China the total area of herbaceous marsh was 9.7×10^(4) km^(2),the average density of aboveground biomass of herbaceous marsh vegetation was 227.5±23.0 g C m-2(95%confidence interval,the same below),and the total aboveground biomass was 22.2±2.2 Tg C(1 Tg=1012 g).The aboveground biomass density of herbaceous marsh vegetation is generally low in Northeast China and the Tibetan Plateau,and high in central North China and coastal regions in China.In different marsh distribution regions of China,the average biomass density of herbaceous marsh vegetation from small to large was as follows:temperate humid and semi-humid marsh region(182.3±49.3 g C m^(-2))<Tibetan Plateau marsh region(243.9±26.6 g C m-2)<temperate arid and semi-arid marsh region(300.5±73.2 g C m-2)<subtropical humid marsh region(348.4±59.0 g C m-2)<coastal marsh region(675.4±73.8 g C m-2). Due to the different area of herbaceous marsh, the total aboveground biomass of herbaceous marsh vegetation in different marsh distribution regions was the largest in the temperate humid and semi-humid marsh region(9.6±2.6 Tg C), and was the smallest in the coastal marsh region(1.1±0.1 Tg C). The spatial distribution of aboveground biomass of herbaceous marsh vegetation in China has obvious non-zonality characteristics, but also presents certain zonality in some regions. The aboveground biomass of herbaceous marsh vegetation in the Tibetan Plateau decreased with the increase of altitude. With the aggravation of drought, the aboveground biomass of herbaceous marsh vegetation in temperate humid and semi-humid regions and temperate arid and semi-arid regions decreased first and then did not obviously change. The aboveground biomass of herbaceous marsh vegetation in temperate humid and semi-humid regions was relatively larger in the regions with higher average annual temperature. The results can provide scientific basis for accurately evaluating the adjustment action of wetland ecosystems on climate, and provide decision support for adaptive management of wetland ecosystems.
基金supported by the Strategic Priority Research Program of Chinese Academy of Sciences(XDA19050401)Maps in this article were reviewed by Ministry of Natural Resources of the People’s Republic of China(GS(2020)1044)。
文摘Vegetation maps are important sources of information for biodiversity conservation,ecological studies,vegetation management and restoration,and national strategic decision making.The current Vegetation Map of China(1:1000000)was generated by a team of more than 250 scientists in an effort that lasted over 20 years starting in the 1980s.However,the vegetation distribution of China has experienced drastic changes during the rapid development of China in the last three decades,and it urgently needs to be updated to better represent the distribution of current vegetation types.Here,we describe the process of updating the Vegetation Map of China(1:1000000)generated in the 1980s using a‘‘crowdsourcing-change detection-classification-expert knowledge"vegetation mapping strategy.A total of 203,024 field samples were collected,and 50 taxonomists were involved in the updating process.The resulting updated map has 12 vegetation type groups,55 vegetation types/subtypes,and 866 vegetation formation/sub-formation types.The overall accuracy and kappa coefficient of the updated map are 64.8%and 0.52 at the vegetation type group level,61%and 0.55 at the vegetation type/subtype level and 40%and 0.38 at the vegetation formation/sub-formation level.When compared to the original map,the updated map showed that 3.3 million km^2 of vegetated areas of China have changed their vegetation type group during the past three decades due to anthropogenic activities and climatic change.We expect this updated map to benefit the understanding and management of China’s terrestrial ecosystems.
基金This research was supported by the National Key R&D Program of China(No.2016YFC0500401)the Strategic Priority Research Program of the Chinese Academy of Sciences(XDA23070103).
文摘Background:Wetland loss is a global concern due to its enormous ecosystem services.Marshland,a typical natural wetland,which is concentrated in the Sanjiang Plain,has undergone dramatic loss in the last several decades.The spatiotemporal changes in marshland were studied based on Landsat images of the Sanjiang Plain from 1980 to 2016 with the land use maps in 1980,1995,2000,2005,2010,and 2016 using land use dynamic degree and landscape indices.The driving forces of marshland loss,including biophysical factors,socio-economic factors,and land management,were analyzed with boosted regression trees(BRTs)methods.Results:The area of marshland loss was 7372 km^(2),which accounted for 65.7%of the area of marshland in 1980;however,the paddy field area was expanded by 22,313 km^(2).The lost marshland was mainly converted to dry farmland(47.5%)and paddy field(47.2%)during 1980-2016.Both the landscape pattern of the study area and marshland became increasingly fragmented.The relatively important factors responsible for marshland loss were biophysical factors,socio-economic factors,and land management,which accounted for 65.2%,25.5%,and 8.4%,respectively.The most important driving forces with high“relative influence”were“distance to river,”which accounted for 20.6%of the total variance explained.The“relative influence”of potential crop yield and ditch density reached 20.2%and 8.4%,respectively.Conclusion:Significant land use changes have occurred in the Sanjiang Plain over the past 37 years,with characteristics of rapid paddy field expansion and drastic marshland loss.Meanwhile,marshland fragmentation continued to increase.Reclamation was the main reason for the large-scale marshland loss.Biophysical factors influenced the decisions regarding the locations of marshland loss.Moreover,climate factors(i.e.,average annual precipitation and average annual temperature)also played an important role in marshland loss.These results can provide helpful knowledge for understanding the patterns and reasons for marshland loss and protecting and managing strategies for wetlands restoration.
基金supported by the National Basic Research Program of China(973 program,2013CBA01807)the National Natural Science Foundation of China(32001127).
文摘Background:Soil microorganisms in the thawing permafrost play key roles in the maintenance of ecosystem function and regulation of biogeochemical cycles.However,our knowledge of patterns and drivers of permafrost micro-bial communities is limited in northeastern China.Therefore,we investigated the community structure of soil bacteria in the active,transition and permafrost layers based on 90 soil samples collected from 10 sites across the continuous permafrost region using high-throughput Illumina sequencing.Results:Proteobacteria(31.59%),Acidobacteria(18.63%),Bacteroidetes(9.74%),Chloroflexi(7.01%)and Actinobacteria(6.92%)were the predominant phyla of the bacterial community in all soil layers;however,the relative abundances of the dominant bacterial taxa varied with soil depth.The bacterial community alpha-diversity based on the Shannon index and the phylogenetic diversity index both decreased significantly with depth across the transition from active layer to permafrost layer.Nonmetric multidimensional scaling analysis and permutation multivariate analysis of variance revealed that microbial community structures were significantly different among layers.Redundancy analysis and Spearman’s correlation analysis showed that soil properties differed between layers such as soil nutrient content,temperature and moisture mainly drove the differentiation of bacterial communities.Conclusions:Our results revealed significant differences in bacterial composition and diversity among soil layers.Our findings suggest that the heterogeneous environmental conditions between the three soil horizons had strong influences on microbial niche differentiation and further explained the variability of soil bacterial community structures.This effort to profile the vertical distribution of bacterial communities may enable better evaluations of changes in microbial dynamics in response to permafrost thaw,which would be beneficial to ecological conservation of permafrost ecosystems.
基金This study was supported by the China National R&D Program(No.2017YFC0505704)the National Natural Science Foundation of China(Nos.41871162 and 41871192)the Fundamental Research Funds for the Central Universities of China(No.N2011005)。
文摘Introduction:One of the most striking features of urbanization is the replacement of the original natural land cover type by artificial impervious surface area(ISA).However,the extent of the contribution of various environmental factors,especially the growth of 3D space to ISA expansion,and the scope and mechanism of their influences in dramatically expanding cities,are yet to be determined.The boosted regression tree(BRT)model was adopted to analyze the main influencing factors and driving mechanisms of ISA change in Shenyang,China between 2010 and 2017.Outcomes:The nearly complete-coverage ISA(≥0.7)increased from 42%in 2010 to 47%in 2017.The percentage of landscape with a high ISA fraction increased,while the landscape evenness and diversity of ISA decreased.The BRT analysis revealed that elevation,regional population density,and landscape class had the largest influences on the change of urban ISA,contributing 22.55%,18.16%,and 11.18%to the model,respectively.Conclusion:Overall,topographic and socioeconomic factors had the greatest influence on urban ISA change in Shenyang,followed by land use type and building pattern indices.The trend of high aggregation was strong in large commercial and residential areas.The 3D expansion of the city had an influence on its areal expansion.
基金supported by the National Natural Science Foundation of China (Nos. 41730647, 41801187, 32101325)Youth Innovation Promotion Association CAS (No. 2022195)
文摘The vertical distribution of air pollutants in urban street canyons is closely related to residents’health.However,the vertical air quality in urban street canyons has rarely been assessed using field observations obtained throughout the year.Therefore,this study investigated the seasonal and annual concentrations of particulate matter(PM2.5 and PM10),CO,NO_(2),SO_(2),O_(3),air quality index,and their responses to microclimatic factors at three height levels(1.5,27,and 69 m above street level)in an urban street canyon.The PM concentration was higher at 27 m than at 1.5 m in winter,whereas the situation was reversed in other seasons.It was found that photochemical pollutants such as NO_(2) and O_(3) were the primary pollutants in the urban street canyon.The days on which O3 was the primary pollutant at the height of 1.5 m accounted for 81.07% of the entire year.The days on which NO_(2) was the primary pollutant at the height of 27 and 69 m accounted for 82.49% and 72.33%of the entire year,respectively.Substantially higher concentrations of NO2 and O_(3) were found at the height of 27 m than at 69 m.In-canyon concentrations of NO_(2) and O_(3) were strongly correlated with air temperature,wind speed,and wind direction,which played important roles in photochemical reactions and pollutant dispersion.
基金Funding for this project was provided by the National Natural Science Foundation of China(Nos.41730647 and 32071580)。
文摘Urbanization has introduced a series of environmental problems worldwide,and particulate matter(PM)is one of the main threats to human health.Due to the lack of high-resolution,large-scale monitoring data,few studies have analyzed the intraurban spatial distribution pattern of PM at a fine scale.In this study,portable air monitors carried by five taxis were used to collect the concentrations of PM1,PM2.5 and PM10 for five months in Shenyang during the heating season.The results showed that high concentrations of PM were distributed in the suburbs,while relatively low concentration areas were found in the central area.Agricultural,industrial and development zones had higher concentration values among the eight observed types.The PM concentration exhibited strong spatial autocorrelation based on Moran’s I index analysis.Meteorological factors were the most important influencing factors of the three pollutants,and their total contribution rate accounted for more than 80%among the 13 factors according to boosted regression trees analysis.The taxi monitoring method we proposed was a more efficient and feasible method for monitoring urban air pollution and could obtain higher spatial-temporal resolution data at a lower cost to elucidate the region’s dynamic air pollution distribution patterns.
