Despite the exceptional species richness and endemism,the environmental drivers of plant diversity along old tropical mountains remain underexplored.The respective importance of vegetation types,elevation,slope,and so...Despite the exceptional species richness and endemism,the environmental drivers of plant diversity along old tropical mountains remain underexplored.The respective importance of vegetation types,elevation,slope,and soil to drive diversity across life-forms is poorly addressed.Here,we tested whether environmental variables drove local and regional plant diversity along an old tropical mountain according to the three main life-forms:graminoids,herbaceous and woody species.We sampled all Angiosperm species on 180 plots across five elevations,at the tropical old-mountain region of Serra do Cipó,South-eastern Brazil.We assessed soil,slope,and vegetation types,and calculated richness and beta-diversity,applying generalized least square models,linear mixed-models and partial Mantel tests to test for relationships.Richness of graminoids and herbaceous species increased with greater elevation and more nutrient-impoverished soils,while woody richness showed the inverse pattern.Beta-diversity was primarily driven by species turnover,correlated with elevation and soil and higher in less dominant vegetation types,with unique species.Despite the limited elevational range in these old mountains,it still played an important role in filtering woody species,while fostering graminoid and herbaceous species.Conservation and restoration actions need to foster the high regional diversity supported by the old mountain heterogeneous landscape and the diversity of life-forms,especially the dominant and highly diverse grassy component.展开更多
Based on the spatial economy theory and the exploratory spatial data analysis （ESDA） technology this paper studies the space-time dynamics of regional per capita GDP in the Yangtze Delta. A sample of 74 regions in t...Based on the spatial economy theory and the exploratory spatial data analysis （ESDA） technology this paper studies the space-time dynamics of regional per capita GDP in the Yangtze Delta. A sample of 74 regions in the Yangtze Delta over the period of 1994 to 2004 provides clear evidence of global and local spatial autoeorrelation as well as spatial heterogeneity in the distribution of regional per capita GDP The dynamism of regions is investigated by exploring the spatial pattern of regional growth, compared with that before 1997, the economic growth disparities among Shanghai, Zhejiang and Jiangsu provinces have decreased, so have the inside regions of Zhejiang Province, while it is opposite to the inside regions of Jiangsu Province.展开更多
We performed a dynamic downscaling using REGCM4 regional model driven by MPI global model for current (1990/2012) and near-future (2015/2039) climate in order to characterize the seasonal rainfall regimes throughout t...We performed a dynamic downscaling using REGCM4 regional model driven by MPI global model for current (1990/2012) and near-future (2015/2039) climate in order to characterize the seasonal rainfall regimes throughout the railroad areas in eastern Amazon and southeastern Brazil. The analysis of observational data for the current climate indicated the existence of pronounced spatial variations in rainfall regime across railroad regions during both the rainy and dry seasons. Although models have presented generalized underestimation, the regional model showed improvements on spatial representation and intensity of the rainfall in comparison with global model results. We reported the future projections taking into account the correction of simulated rainfall by the values of the biases found in each respective seasonal regime, so that the results are expressed by percentage changes of the future (2015/2037) relative to the current climate patterns. For the railroad in eastern Amazon, projections indicate a weak decrease of rainfall of about -15% in the rainy season (January to May), however during the dry season (June to October) are expected drastic reductions between -70% and -90% in south (Carajás in Pará state) and north (Sao Luis in Maranhao state) portions. Conversely, for the railroad in southeast Brazil, model projections point out for an increased rainfall regime during the rainy season (October to February) around +30% to +40% in the east part of the region over the Espírito Santo state.展开更多
Mining activity in Brazil has significantly contributed to the country development.However,this contribution is not always fully noticed by society.This study aims to bring more evidence to this mining activity contri...Mining activity in Brazil has significantly contributed to the country development.However,this contribution is not always fully noticed by society.This study aims to bring more evidence to this mining activity contribution,based on highly regarded development indicators,such as the HDI(Human Development Index),created by the UNDP(United Nations Development Programme).The HD1 was traditionally designed as an instrument to evaluate the degree of countries development and was subsequently deployed to states and municipalities(IDHM(Municipal Human Development Index)for Brazilian municipalities).In addition to lDHM released by the UNDP,FIRJAN(Federation of the Industries of the State of Rio de Janeiro)developed its own IFDM(FIR JAN Municipal Development Index).The statistical analysis shows that the average of the municipalities with mining activities has superior development indices than those with non-mining activities,especially in the two major mining states:Minas Gerais and Parfi.展开更多
Given the high and increasing lightning incidence over the Southeast of Brazil and the various impacts that this phenomenon generates to society, there is a growing need in predicting its occurrence, in order to minim...Given the high and increasing lightning incidence over the Southeast of Brazil and the various impacts that this phenomenon generates to society, there is a growing need in predicting its occurrence, in order to minimize its consequences. In this context, this work presents the development of a methodology for the projection of lightning in the State of S?o Paulo (Southeastern Brazil), using the HadGEM2-ES and CSIRO-Mk3.6 models in two IPCC climate change scenarios: RCP4.5 and RCP8.5. Since lightning is not an output variable of climate models, tests were carried out to evaluate the relationship between the observed data of oceanic and atmospheric fields, which are known as outputs of the models, and the lightning from the RINDAT and BrasilDAT detection networks. As result, a correlation of 0.84 was obtained. In the projections, it was verified that, while during a large portion of the current climate we observed events of lightning below the average, the future climate reveals the preponderance of anomalously above average events, both in the scenario of intermediate-low emissions (RCP4.5) and in the scenario of high emissions (RCP8.5), suggesting a change in the pattern of the lightning incidence in the State of S?o Paulo.展开更多
基金Sao Paulo Research Foundation(FAPESP)for financial support through the grants:#2009/54208-6Fapesp-Microsoft Research Institute#2013/50155-0+6 种基金Fapesp-Vale#2010/51307-0,#2021/10639-5 to LPCMthrough fellowships FAPESP#2015/10754-8 to MGGC and#2019/09248-1 to ASSCoordena??o de Aperfei?oamento de Pessoal de Nível Superior–(CAPES)for scholarships granted to MGGC(Process#88887.583309/2020-00)PPL(#88887.583146/2020-00)JSS(CAPES Finance Code 001)National Council for Scientific and Technological Development(CNPq)for the grants:CNPq-PVE#400717/2013-1 and PDJ#150404/2016-6 to SLSfor the productivity fellowship and grant#311820/2018-2,#306563/2022-3 to LPCM。
文摘Despite the exceptional species richness and endemism,the environmental drivers of plant diversity along old tropical mountains remain underexplored.The respective importance of vegetation types,elevation,slope,and soil to drive diversity across life-forms is poorly addressed.Here,we tested whether environmental variables drove local and regional plant diversity along an old tropical mountain according to the three main life-forms:graminoids,herbaceous and woody species.We sampled all Angiosperm species on 180 plots across five elevations,at the tropical old-mountain region of Serra do Cipó,South-eastern Brazil.We assessed soil,slope,and vegetation types,and calculated richness and beta-diversity,applying generalized least square models,linear mixed-models and partial Mantel tests to test for relationships.Richness of graminoids and herbaceous species increased with greater elevation and more nutrient-impoverished soils,while woody richness showed the inverse pattern.Beta-diversity was primarily driven by species turnover,correlated with elevation and soil and higher in less dominant vegetation types,with unique species.Despite the limited elevational range in these old mountains,it still played an important role in filtering woody species,while fostering graminoid and herbaceous species.Conservation and restoration actions need to foster the high regional diversity supported by the old mountain heterogeneous landscape and the diversity of life-forms,especially the dominant and highly diverse grassy component.
文摘Based on the spatial economy theory and the exploratory spatial data analysis （ESDA） technology this paper studies the space-time dynamics of regional per capita GDP in the Yangtze Delta. A sample of 74 regions in the Yangtze Delta over the period of 1994 to 2004 provides clear evidence of global and local spatial autoeorrelation as well as spatial heterogeneity in the distribution of regional per capita GDP The dynamism of regions is investigated by exploring the spatial pattern of regional growth, compared with that before 1997, the economic growth disparities among Shanghai, Zhejiang and Jiangsu provinces have decreased, so have the inside regions of Zhejiang Province, while it is opposite to the inside regions of Jiangsu Province.
基金ICTP team for providing REGCM4 code.E.B.De Souza is partially sponsored by CNPQ(PQ2 Proc.3073980/2010-6 and Universal project Proc.484779/2012-5).
文摘We performed a dynamic downscaling using REGCM4 regional model driven by MPI global model for current (1990/2012) and near-future (2015/2039) climate in order to characterize the seasonal rainfall regimes throughout the railroad areas in eastern Amazon and southeastern Brazil. The analysis of observational data for the current climate indicated the existence of pronounced spatial variations in rainfall regime across railroad regions during both the rainy and dry seasons. Although models have presented generalized underestimation, the regional model showed improvements on spatial representation and intensity of the rainfall in comparison with global model results. We reported the future projections taking into account the correction of simulated rainfall by the values of the biases found in each respective seasonal regime, so that the results are expressed by percentage changes of the future (2015/2037) relative to the current climate patterns. For the railroad in eastern Amazon, projections indicate a weak decrease of rainfall of about -15% in the rainy season (January to May), however during the dry season (June to October) are expected drastic reductions between -70% and -90% in south (Carajás in Pará state) and north (Sao Luis in Maranhao state) portions. Conversely, for the railroad in southeast Brazil, model projections point out for an increased rainfall regime during the rainy season (October to February) around +30% to +40% in the east part of the region over the Espírito Santo state.
文摘Mining activity in Brazil has significantly contributed to the country development.However,this contribution is not always fully noticed by society.This study aims to bring more evidence to this mining activity contribution,based on highly regarded development indicators,such as the HDI(Human Development Index),created by the UNDP(United Nations Development Programme).The HD1 was traditionally designed as an instrument to evaluate the degree of countries development and was subsequently deployed to states and municipalities(IDHM(Municipal Human Development Index)for Brazilian municipalities).In addition to lDHM released by the UNDP,FIRJAN(Federation of the Industries of the State of Rio de Janeiro)developed its own IFDM(FIR JAN Municipal Development Index).The statistical analysis shows that the average of the municipalities with mining activities has superior development indices than those with non-mining activities,especially in the two major mining states:Minas Gerais and Parfi.
文摘Given the high and increasing lightning incidence over the Southeast of Brazil and the various impacts that this phenomenon generates to society, there is a growing need in predicting its occurrence, in order to minimize its consequences. In this context, this work presents the development of a methodology for the projection of lightning in the State of S?o Paulo (Southeastern Brazil), using the HadGEM2-ES and CSIRO-Mk3.6 models in two IPCC climate change scenarios: RCP4.5 and RCP8.5. Since lightning is not an output variable of climate models, tests were carried out to evaluate the relationship between the observed data of oceanic and atmospheric fields, which are known as outputs of the models, and the lightning from the RINDAT and BrasilDAT detection networks. As result, a correlation of 0.84 was obtained. In the projections, it was verified that, while during a large portion of the current climate we observed events of lightning below the average, the future climate reveals the preponderance of anomalously above average events, both in the scenario of intermediate-low emissions (RCP4.5) and in the scenario of high emissions (RCP8.5), suggesting a change in the pattern of the lightning incidence in the State of S?o Paulo.
