<div style="text-align:justify;"> This research is based on Landsat5 TM, Landsat8 OLI/TIRS remote sensing data using RSEI model to analyze and monitor the ecological environment and its temporal and sp...<div style="text-align:justify;"> This research is based on Landsat5 TM, Landsat8 OLI/TIRS remote sensing data using RSEI model to analyze and monitor the ecological environment and its temporal and spatial changes in the forest-grass transition zone in Northeast China from 2004 to 2019. The change characteristics of the ecological environment of different types of land cover types are monitored by RSEI method, and the response of different land cover types to natural factors such as precipitation and temperature is analyzed at the same time. The distribution of RSEI in the study area presents the characteristics of high in the east and low in the west. The eastern mountainous area is densely covered with woodland, which is the area with the best ecological environment quality in the study area. The grassland in the western plain and the saline-alkali land around the river are the areas with poor ecological environment in the study area. Climate, precipitation, topography and other natural elements work together to form the quality of the ecological environment in the study area roughly bounded by 120?E. In years with poor natural conditions, this dividing line will have a clear eastward shifting trend, especially in the northern part of the study area. The spatial distribution of RSEI in the study area has a high degree of spatial autocorrelation, and Global Moran’s I has been above 0.8 over the years. In terms of temporal changes in ecological conditions, the ecological environment in the study area was basically stable from 2004 to 2008, with a slight deterioration;it improved significantly from 2008 to 2011;however, it deteriorated significantly from 2011 to 2019. According to the results of partial correlation analysis, the ecological environment of the former is highly correlated with natural elements such as climate and precipitation, while the latter is mainly affected by human factors. </div>展开更多
A relative humidity series of April-August during 1825-2009 AD was reconstructed based on tree- ring width of Pinus sylvestris var. mongolica for the Hulunbuir area. During the past 185 years, 25 humid years and 26 ar...A relative humidity series of April-August during 1825-2009 AD was reconstructed based on tree- ring width of Pinus sylvestris var. mongolica for the Hulunbuir area. During the past 185 years, 25 humid years and 26 arid years were identified in the reconstruction, as well as 6 wet periods and 6 dry periods. The relative humidity has decreased since approximately the 1950s, suggesting a warm and dry climate trend in the study area. The reconstruction can be compared with those of the surrounding tree ring reconstructed precipitation and rela- tive humidity series at the decadal scale, reflecting the consistency of the regional climate variations. Besides, significant positive correlations are revealed between the reconstruction and the normalized difference vegetation index of the Hulunbuir grassland. And the decrease in relative humidity will cause negative impacts on the Hulunbuir grassland. Comparisons between the sandstorm records and the relative humidity of the study area indicate that strong sandstorms occurred more frequently in Hulunbuir when the relative humidity was low. Therefore, under the downward trend in relative humidity, more effort should be made to protect the grassland ecology and treat the bare sand land for the local and surrounding areas.展开更多
Aims Drought affected by atmosphere–ocean cycle is a dominant factor influencing tree radial growth of sandy Mongolian pine(Pinus sylvestris var.mongolica)and regional vegetation dynamics in Hulunbuir,China.However,h...Aims Drought affected by atmosphere–ocean cycle is a dominant factor influencing tree radial growth of sandy Mongolian pine(Pinus sylvestris var.mongolica)and regional vegetation dynamics in Hulunbuir,China.However,historical droughts and its correlations with tree radial growth and atmosphere–ocean cycle in this area have been little tested.Methods We developed tree-ring chronologies of Mongolian pine from Hulunbuir,Inner Mongolia,China and analyzed the correlations between tree-ring width index,the normalized difference vegetation index and Palmer drought severity index(PDSI),then developed a linear model to reconstruct the drought variability from 1829 to 2009.Long-term trends and its linkages with atmosphere–ocean cycle were performed by the power spectral,wavelet and teleconnection analysis.Important Findings The local moisture variations affected largely the regional vegetation dynamics and tree-ring growth of Mongolia pine in the forest–grassland transition.Using tree-ring width chronology of Mongolian pine,the reconstruction explains 49.2%of PDSI variance during their common data period(1951–2005).The reconstruction gives a broad-scale regional representation of PDSI in the Hulunbuir area,with drought occurrences in the 1850s,1900s,1920s,mid-1930s and at the turn of the 21st century.Comparisons with other treering drought reconstructions and historical records reveal some common drought periods and drying trends in recent decades at the northern margin zones of the East Asian summer monsoon(EASM).The drying trends in these zones occurred earlier than weakening of the EASM.A REDFIT spectral analysis shows significant peaks at 7.2,3.9,2.7–2.8,2.4 and 2.2 years with a 0.05 significance level,and 36.9,18.1 and 5.0 years with 0.1 significance level.Wavelet analysis also shows similar cycles.Drought variations in the study area significantly correlated with sea surface temperatures in the western tropical Pacific Ocean and middle and northern Indian Ocean,and the Pacific Decadal Oscillation and North Atlantic Oscillation.This suggests a possible linkage with the El Niño-Southern Oscillation,the EASM and the Westerlies.展开更多
Je vous invite à faire un voyage dans la prairie de Hulunbuir qui est mon lieu de naissance.Suivez-moi!Je vais vous faire découvrir un paysage qui diffère complètement de celui des
文摘<div style="text-align:justify;"> This research is based on Landsat5 TM, Landsat8 OLI/TIRS remote sensing data using RSEI model to analyze and monitor the ecological environment and its temporal and spatial changes in the forest-grass transition zone in Northeast China from 2004 to 2019. The change characteristics of the ecological environment of different types of land cover types are monitored by RSEI method, and the response of different land cover types to natural factors such as precipitation and temperature is analyzed at the same time. The distribution of RSEI in the study area presents the characteristics of high in the east and low in the west. The eastern mountainous area is densely covered with woodland, which is the area with the best ecological environment quality in the study area. The grassland in the western plain and the saline-alkali land around the river are the areas with poor ecological environment in the study area. Climate, precipitation, topography and other natural elements work together to form the quality of the ecological environment in the study area roughly bounded by 120?E. In years with poor natural conditions, this dividing line will have a clear eastward shifting trend, especially in the northern part of the study area. The spatial distribution of RSEI in the study area has a high degree of spatial autocorrelation, and Global Moran’s I has been above 0.8 over the years. In terms of temporal changes in ecological conditions, the ecological environment in the study area was basically stable from 2004 to 2008, with a slight deterioration;it improved significantly from 2008 to 2011;however, it deteriorated significantly from 2011 to 2019. According to the results of partial correlation analysis, the ecological environment of the former is highly correlated with natural elements such as climate and precipitation, while the latter is mainly affected by human factors. </div>
基金supported by the State Key Laboratory of Loess and Quaternary Geology(SKLLQG1316)the Scientific Research Plan Projects of Shaanxi Education Department(15JK1796)+1 种基金the Dominant Discipline Construction Projects of Shaanxi(Historical Geography 0602 SZXKY1302)the Specialized Research Fund Project of Xianyang Normal University(12XSYK0310)
文摘A relative humidity series of April-August during 1825-2009 AD was reconstructed based on tree- ring width of Pinus sylvestris var. mongolica for the Hulunbuir area. During the past 185 years, 25 humid years and 26 arid years were identified in the reconstruction, as well as 6 wet periods and 6 dry periods. The relative humidity has decreased since approximately the 1950s, suggesting a warm and dry climate trend in the study area. The reconstruction can be compared with those of the surrounding tree ring reconstructed precipitation and rela- tive humidity series at the decadal scale, reflecting the consistency of the regional climate variations. Besides, significant positive correlations are revealed between the reconstruction and the normalized difference vegetation index of the Hulunbuir grassland. And the decrease in relative humidity will cause negative impacts on the Hulunbuir grassland. Comparisons between the sandstorm records and the relative humidity of the study area indicate that strong sandstorms occurred more frequently in Hulunbuir when the relative humidity was low. Therefore, under the downward trend in relative humidity, more effort should be made to protect the grassland ecology and treat the bare sand land for the local and surrounding areas.
基金‘948’Project of State Forestry Administration China(2015-4-27)International S&T Cooperation Program of China(2015DFR31130)+1 种基金National Natural Science Foundation of China(41271033,41471029 and 41371500)The Lecture and Study Program for Outstanding Scholars from Home and Abroad(CAFYBB2011007).
文摘Aims Drought affected by atmosphere–ocean cycle is a dominant factor influencing tree radial growth of sandy Mongolian pine(Pinus sylvestris var.mongolica)and regional vegetation dynamics in Hulunbuir,China.However,historical droughts and its correlations with tree radial growth and atmosphere–ocean cycle in this area have been little tested.Methods We developed tree-ring chronologies of Mongolian pine from Hulunbuir,Inner Mongolia,China and analyzed the correlations between tree-ring width index,the normalized difference vegetation index and Palmer drought severity index(PDSI),then developed a linear model to reconstruct the drought variability from 1829 to 2009.Long-term trends and its linkages with atmosphere–ocean cycle were performed by the power spectral,wavelet and teleconnection analysis.Important Findings The local moisture variations affected largely the regional vegetation dynamics and tree-ring growth of Mongolia pine in the forest–grassland transition.Using tree-ring width chronology of Mongolian pine,the reconstruction explains 49.2%of PDSI variance during their common data period(1951–2005).The reconstruction gives a broad-scale regional representation of PDSI in the Hulunbuir area,with drought occurrences in the 1850s,1900s,1920s,mid-1930s and at the turn of the 21st century.Comparisons with other treering drought reconstructions and historical records reveal some common drought periods and drying trends in recent decades at the northern margin zones of the East Asian summer monsoon(EASM).The drying trends in these zones occurred earlier than weakening of the EASM.A REDFIT spectral analysis shows significant peaks at 7.2,3.9,2.7–2.8,2.4 and 2.2 years with a 0.05 significance level,and 36.9,18.1 and 5.0 years with 0.1 significance level.Wavelet analysis also shows similar cycles.Drought variations in the study area significantly correlated with sea surface temperatures in the western tropical Pacific Ocean and middle and northern Indian Ocean,and the Pacific Decadal Oscillation and North Atlantic Oscillation.This suggests a possible linkage with the El Niño-Southern Oscillation,the EASM and the Westerlies.
文摘Je vous invite à faire un voyage dans la prairie de Hulunbuir qui est mon lieu de naissance.Suivez-moi!Je vais vous faire découvrir un paysage qui diffère complètement de celui des
