Net primary productivity(NPP)is an important breakthrough point of current research on ecological footprint improvement.The energy eco-footprint(EEF)of the Four-City Area in Central China(FCACC)was measured by constru...Net primary productivity(NPP)is an important breakthrough point of current research on ecological footprint improvement.The energy eco-footprint(EEF)of the Four-City Area in Central China(FCACC)was measured by constructing an EEF-NPP model.This work has made the following efforts:(1)Gini coefficient was employed to analyze the degree of matching between the EEF and economic growth,population,and energy consumption.(2)LMDI decomposition method was used to explore the impacts of multiple factors on the EEF in the FCACC.(3)Tapio decoupling model was applied to verify the decoupling relationships between the above influencing factors and the EEF.(4)LMDI decomposition formula was embedded into the decoupling model to analyze the impacts of technical and non-technical factors on the decoupling elasticity of the above.The main findings show that from 2010 to 2020:(1)the degree of matching of EEF-GDP,EEF-population,and EEF-energy consumption increased.(2)energy intensity and per capita GDP were the main factors that affected the EEF.(3)the decoupling states between total energy consumption,energy consumption structure,energy intensity,per capita GDP,and population size with the EEF were expansive negative decoupling,expansive negative decoupling,strong negative decoupling,weak decoupling,and expansive negative decoupling,respectively.(4)the impact of non-technical factors was greater than that of technical factors,and their impacts were always in opposite directions.展开更多
Studying the spatiotemporal variation and driving mechanisms of vegetation net primary productivity(NPP)in the Guanzhong Plain Urban Agglomeration(GPUA)of China is highly important for regional green and low-carbon de...Studying the spatiotemporal variation and driving mechanisms of vegetation net primary productivity(NPP)in the Guanzhong Plain Urban Agglomeration(GPUA)of China is highly important for regional green and low-carbon development.This study used the Theil-Sen trend analysis,Mann-Kendall trend test,coefficient of variation,Hurst index,and machine learning method(eXtreme Gradient Boosting and SHapley Additive exPlanations(XGBoost-SHAP))to analyze the spatiotemporal variation of NPP in the GPUA from 2001 to 2020 and reveal its response to climate change and human activities.The results found that during 2001-2020,the averageNPP in the GPUA showed a significant upward trend,with an annual growth rate of 10.84 g C/(m^(2)•a).The multi-year average NPP in the GPUA was 484.83 g C/(m^(2)•a),with higher values in the southwestern Qinling Mountains and lower values in the central and northeastern cropland and built-up areas.The average coefficient of variation of NPP in the GPUA was 0.14,indicating a relatively stable state overall,but 72.72%of the study area showed weak anti-persistence,suggesting that NPP in most areas may have declined in the short term.According to XGBoost-SHAP analyses,elevation,land use type and precipitation were identified as the main driving factors of NPP.Appropriate precipitation and higher temperatures promote NPP growth,whereas extreme climates,high population density,and nighttime lighting inhibit NPP.This study has important theoretical and practical significance for achieving regional sustainable development,offers a scientific basis for formulating effective ecological protection and restoration strategies,and promotes green,coordinated,and sustainable development in the GPUA.展开更多
The paper deals with the biomass and productivity of sal (SF) and miscellaneous forests (MF) of Satpura plateau (Madhya Pradesh) India. These forest types were divided into four sites namely open miscellaneous (OMF, s...The paper deals with the biomass and productivity of sal (SF) and miscellaneous forests (MF) of Satpura plateau (Madhya Pradesh) India. These forest types were divided into four sites namely open miscellaneous (OMF, site-I), closed miscellaneous (CMF, site-II), open sal (OSF, site-III) and closed sal (CSF, site-IV). The degree of disturbance followed the order: III (0.70) 109 (III) > 79.80 (I) > 52.69 (II), while for NPPherb, the order of importance was, 109.50 (IV) > 73.27 (I) > (II), 71.75 (III) > 55.71 (II). NPPtotal was highest for closed forest stands than of the open ones. NPPteak was lower for high-disturbed site than of the less disturbed site. Photosynthetic/ non - photosynthetic ratio follows the order: 0.067 (II) > 0.030 (III) > 0.026 (IV) > 0.018 (I). Open forests showed lower values for this ratio. NEP was higher for SF than of the MF. Further closed forests showed higher values of NEP. OSF showed lower values of NEPsal than of the CSF. Disturbances in open forests not only reduced stand biomass of tree species, dominant species in particular, but also declined the tree productivity. So, gap filling plantation in side the forest is suggested to improve the productivity of open forests.展开更多
Using ecological footprint method based on net primary productivity （NPP）, the ecological footprint, ecological carrying capacity and ec- ological deficit/surplus in Inner Mongolia in 2005 and 2010 were calculated f...Using ecological footprint method based on net primary productivity （NPP）, the ecological footprint, ecological carrying capacity and ec- ological deficit/surplus in Inner Mongolia in 2005 and 2010 were calculated firstly, and then their temporal and spatial variations were analyzed. Fi- nally, the main driving factors of changes in the ecological footprint were discussed through linear regression analysis. The results show that the ec- ological footprint increased faster than the ecological carrying capacity in Inner Mongolia from 2005 to 2010, and Inner Mongolia was in ecological deficit on the whole. In addition, the ecological state became worse from the northeast to the southwest in Inner Mongolia, and the ecological state was the worst in Ordos City where the ecological deficit reached 0.9 km2/capita in 2010. As a result of increase of industrial intensity and unreason- able industrial structure, the sustainability in Inner Mongolia decreased.展开更多
骨髓增生异常肿瘤(myelodysplastic neoplasms,MDS)患者的预后与其细胞遗传学和分子遗传学特征密切相关,TP53基因作为MDS最常见的突变基因之一,其异常是MDS独立的不良预后因素以及向急性髓系白血病(acute myeloid leuke⁃mia,AML)转化的...骨髓增生异常肿瘤(myelodysplastic neoplasms,MDS)患者的预后与其细胞遗传学和分子遗传学特征密切相关,TP53基因作为MDS最常见的突变基因之一,其异常是MDS独立的不良预后因素以及向急性髓系白血病(acute myeloid leuke⁃mia,AML)转化的危险因素之一。新近更新的第5版世界卫生组织血液淋巴肿瘤分类标准(the 5th edition of the who classifica⁃tion of haematolymphoid tumours,WHO 2022)以及髓系肿瘤和急性白血病的国际共识分类(international consensus classification of myeloid neoplasms and acute leukemia,ICC)将伴有TP53双等位基因失活(biallelic TP53 inactivation,biTP53)的MDS作为独立的亚型列出,该亚型患者预后极差,生存期极短。目前针对伴TP53基因异常的MDS患者的治疗尚未能有效改善该类患者预后,新型靶向药物、免疫治疗等均在探索中,本文就国内外对伴TP53基因异常的MDS的临床研究进展进行综述。展开更多
基金supported by the Science and Technology Projects of the Jiangxi Provincial Education Department(Grant No.GJJ2200518)the Ministry of Education in China Layout Project of Humanities and Social Sciences(Grant No.20YJAZH037).
文摘Net primary productivity(NPP)is an important breakthrough point of current research on ecological footprint improvement.The energy eco-footprint(EEF)of the Four-City Area in Central China(FCACC)was measured by constructing an EEF-NPP model.This work has made the following efforts:(1)Gini coefficient was employed to analyze the degree of matching between the EEF and economic growth,population,and energy consumption.(2)LMDI decomposition method was used to explore the impacts of multiple factors on the EEF in the FCACC.(3)Tapio decoupling model was applied to verify the decoupling relationships between the above influencing factors and the EEF.(4)LMDI decomposition formula was embedded into the decoupling model to analyze the impacts of technical and non-technical factors on the decoupling elasticity of the above.The main findings show that from 2010 to 2020:(1)the degree of matching of EEF-GDP,EEF-population,and EEF-energy consumption increased.(2)energy intensity and per capita GDP were the main factors that affected the EEF.(3)the decoupling states between total energy consumption,energy consumption structure,energy intensity,per capita GDP,and population size with the EEF were expansive negative decoupling,expansive negative decoupling,strong negative decoupling,weak decoupling,and expansive negative decoupling,respectively.(4)the impact of non-technical factors was greater than that of technical factors,and their impacts were always in opposite directions.
基金funded by the Xi'an Social Science Fund(24QL38).
文摘Studying the spatiotemporal variation and driving mechanisms of vegetation net primary productivity(NPP)in the Guanzhong Plain Urban Agglomeration(GPUA)of China is highly important for regional green and low-carbon development.This study used the Theil-Sen trend analysis,Mann-Kendall trend test,coefficient of variation,Hurst index,and machine learning method(eXtreme Gradient Boosting and SHapley Additive exPlanations(XGBoost-SHAP))to analyze the spatiotemporal variation of NPP in the GPUA from 2001 to 2020 and reveal its response to climate change and human activities.The results found that during 2001-2020,the averageNPP in the GPUA showed a significant upward trend,with an annual growth rate of 10.84 g C/(m^(2)•a).The multi-year average NPP in the GPUA was 484.83 g C/(m^(2)•a),with higher values in the southwestern Qinling Mountains and lower values in the central and northeastern cropland and built-up areas.The average coefficient of variation of NPP in the GPUA was 0.14,indicating a relatively stable state overall,but 72.72%of the study area showed weak anti-persistence,suggesting that NPP in most areas may have declined in the short term.According to XGBoost-SHAP analyses,elevation,land use type and precipitation were identified as the main driving factors of NPP.Appropriate precipitation and higher temperatures promote NPP growth,whereas extreme climates,high population density,and nighttime lighting inhibit NPP.This study has important theoretical and practical significance for achieving regional sustainable development,offers a scientific basis for formulating effective ecological protection and restoration strategies,and promotes green,coordinated,and sustainable development in the GPUA.
文摘The paper deals with the biomass and productivity of sal (SF) and miscellaneous forests (MF) of Satpura plateau (Madhya Pradesh) India. These forest types were divided into four sites namely open miscellaneous (OMF, site-I), closed miscellaneous (CMF, site-II), open sal (OSF, site-III) and closed sal (CSF, site-IV). The degree of disturbance followed the order: III (0.70) 109 (III) > 79.80 (I) > 52.69 (II), while for NPPherb, the order of importance was, 109.50 (IV) > 73.27 (I) > (II), 71.75 (III) > 55.71 (II). NPPtotal was highest for closed forest stands than of the open ones. NPPteak was lower for high-disturbed site than of the less disturbed site. Photosynthetic/ non - photosynthetic ratio follows the order: 0.067 (II) > 0.030 (III) > 0.026 (IV) > 0.018 (I). Open forests showed lower values for this ratio. NEP was higher for SF than of the MF. Further closed forests showed higher values of NEP. OSF showed lower values of NEPsal than of the CSF. Disturbances in open forests not only reduced stand biomass of tree species, dominant species in particular, but also declined the tree productivity. So, gap filling plantation in side the forest is suggested to improve the productivity of open forests.
基金Supported by the"National Land Planning Project"of Ministry of Land and Resources(1212011220097)
文摘Using ecological footprint method based on net primary productivity （NPP）, the ecological footprint, ecological carrying capacity and ec- ological deficit/surplus in Inner Mongolia in 2005 and 2010 were calculated firstly, and then their temporal and spatial variations were analyzed. Fi- nally, the main driving factors of changes in the ecological footprint were discussed through linear regression analysis. The results show that the ec- ological footprint increased faster than the ecological carrying capacity in Inner Mongolia from 2005 to 2010, and Inner Mongolia was in ecological deficit on the whole. In addition, the ecological state became worse from the northeast to the southwest in Inner Mongolia, and the ecological state was the worst in Ordos City where the ecological deficit reached 0.9 km2/capita in 2010. As a result of increase of industrial intensity and unreason- able industrial structure, the sustainability in Inner Mongolia decreased.
文摘骨髓增生异常肿瘤(myelodysplastic neoplasms,MDS)患者的预后与其细胞遗传学和分子遗传学特征密切相关,TP53基因作为MDS最常见的突变基因之一,其异常是MDS独立的不良预后因素以及向急性髓系白血病(acute myeloid leuke⁃mia,AML)转化的危险因素之一。新近更新的第5版世界卫生组织血液淋巴肿瘤分类标准(the 5th edition of the who classifica⁃tion of haematolymphoid tumours,WHO 2022)以及髓系肿瘤和急性白血病的国际共识分类(international consensus classification of myeloid neoplasms and acute leukemia,ICC)将伴有TP53双等位基因失活(biallelic TP53 inactivation,biTP53)的MDS作为独立的亚型列出,该亚型患者预后极差,生存期极短。目前针对伴TP53基因异常的MDS患者的治疗尚未能有效改善该类患者预后,新型靶向药物、免疫治疗等均在探索中,本文就国内外对伴TP53基因异常的MDS的临床研究进展进行综述。
