The impact of socioeconomic development on land-use and land-cover change(LUCC)in river basins varies spatially and temporally.Exploring the spatiotemporal evolutionary trends and drivers of LUCC under regional dispar...The impact of socioeconomic development on land-use and land-cover change(LUCC)in river basins varies spatially and temporally.Exploring the spatiotemporal evolutionary trends and drivers of LUCC under regional disparities is the basis for the sustainable development and management of basins.In this study,the Weihe River Basin(WRB)in China was selected as a typical basin,and the WRB was divided into the upstream of the Weihe River Basin(UWRB),the midstream of the Weihe River Basin(MWRB),the downstream of the Weihe River Basin(DWRB),the Jinghe River Basin(JRB),and the Luohe River Basin(LRB).Based on land-use data(cultivated land,forestland,grassland,built-up land,bare land,and water body)from 1985 to 2020,we analyzed the spatiotemporal heterogeneity of LUCC in the WRB using a land-use transfer matrix and a dynamic change model.The driving forces of LUCC in the WRB in different periods were detected using the GeoDetector,and the selected influencing factors included meteorological factors(precipitation and temperature),natural factors(elevation,slope,soil,and distance to rivers),social factors(distance to national highway,distance to railway,distance to provincial highway,and distance to expressway),and human activity factors(population density and gross domestic product(GDP)).The results indicated that the types and intensities of LUCC conversions showed considerable disparities across different sub-basins,where complex conversions among cultivated land,forestland,and grassland occurred in the LRB,JRB,and UWRB,with higher dynamic change before 2000.The conversion of other land-use types to built-up land was concentrated in the UWRB,MWRB,and DWRB,with substantial increases after 2000.Additionally,the driving effects of the influencing factors on LUCC in each sub-basin also exhibited distinct diversity,with the LRB and JRB being influenced by the meteorological and social factors,and the UWRB,MWRB,and DWRB being driven by human activity factors.Moreover,the interaction of these influencing factors indicated an enhanced effect on LUCC.This study confirmed the spatiotemporal heterogeneity effects of socioeconomic status on LUCC in the WRB under regional differences,contributing to the sustainable development of the whole basin by managing sub-basins according to local conditions.展开更多
【目的】为了调查甘肃省天水市张家川县的猪链球菌型Ⅱ及毒力基因流行情况,为本市及全省的猪链球菌疫情预警和防控措施制定提供参考。【方法】于2020年1月至2020年12月年从甘肃省天水市张家川县10个规模化猪场定期采集267份猪血清样本,...【目的】为了调查甘肃省天水市张家川县的猪链球菌型Ⅱ及毒力基因流行情况,为本市及全省的猪链球菌疫情预警和防控措施制定提供参考。【方法】于2020年1月至2020年12月年从甘肃省天水市张家川县10个规模化猪场定期采集267份猪血清样本,利用从临床样本中分离得-到的18株猪链球菌Ⅱ型病原菌,通过ELISA抗体检测试剂盒特异性检测猪链球菌和猪链球菌Ⅱ型血清抗体水平,并通过PCR测定溶菌酶释放蛋白(muramidasereleased protein,MRP)、胞外因子(extracellular protein fateror,EPF)和溶血素(suilysin,SLY)基因的表达水平。【结果】267份样品中猪链球菌阳性率为26.2%(70/267),猪场阳性率为60%(6/10)。18株猪链球菌Ⅱ型检测到7种毒力基因型。其中,epf^(+)mrp^(+)sly^(+)是此地区优势毒力基因型,其次是epf^(+)mrp^(-)sly^(+)基因型、epf^(+)mrp^(-)sly^(-)基因型和epf^(-)mrp^(+)sly^(-)基因型。【结论】2020年猪链球菌病在甘肃省天水市张家川县流行情况较为严重。展开更多
基金supported by the Natural Science Basic Research Program of Shaanxi Province(2019JLZ-15)the Water Science and Technology Program of Shaanxi Province(2018slkj-4)the Research Fund of the State Key Laboratory of Eco-hydraulics in Northwest Arid Region,Xi'an University of Technology(2019KJCXTD-5)。
文摘The impact of socioeconomic development on land-use and land-cover change(LUCC)in river basins varies spatially and temporally.Exploring the spatiotemporal evolutionary trends and drivers of LUCC under regional disparities is the basis for the sustainable development and management of basins.In this study,the Weihe River Basin(WRB)in China was selected as a typical basin,and the WRB was divided into the upstream of the Weihe River Basin(UWRB),the midstream of the Weihe River Basin(MWRB),the downstream of the Weihe River Basin(DWRB),the Jinghe River Basin(JRB),and the Luohe River Basin(LRB).Based on land-use data(cultivated land,forestland,grassland,built-up land,bare land,and water body)from 1985 to 2020,we analyzed the spatiotemporal heterogeneity of LUCC in the WRB using a land-use transfer matrix and a dynamic change model.The driving forces of LUCC in the WRB in different periods were detected using the GeoDetector,and the selected influencing factors included meteorological factors(precipitation and temperature),natural factors(elevation,slope,soil,and distance to rivers),social factors(distance to national highway,distance to railway,distance to provincial highway,and distance to expressway),and human activity factors(population density and gross domestic product(GDP)).The results indicated that the types and intensities of LUCC conversions showed considerable disparities across different sub-basins,where complex conversions among cultivated land,forestland,and grassland occurred in the LRB,JRB,and UWRB,with higher dynamic change before 2000.The conversion of other land-use types to built-up land was concentrated in the UWRB,MWRB,and DWRB,with substantial increases after 2000.Additionally,the driving effects of the influencing factors on LUCC in each sub-basin also exhibited distinct diversity,with the LRB and JRB being influenced by the meteorological and social factors,and the UWRB,MWRB,and DWRB being driven by human activity factors.Moreover,the interaction of these influencing factors indicated an enhanced effect on LUCC.This study confirmed the spatiotemporal heterogeneity effects of socioeconomic status on LUCC in the WRB under regional differences,contributing to the sustainable development of the whole basin by managing sub-basins according to local conditions.
文摘【目的】为了调查甘肃省天水市张家川县的猪链球菌型Ⅱ及毒力基因流行情况,为本市及全省的猪链球菌疫情预警和防控措施制定提供参考。【方法】于2020年1月至2020年12月年从甘肃省天水市张家川县10个规模化猪场定期采集267份猪血清样本,利用从临床样本中分离得-到的18株猪链球菌Ⅱ型病原菌,通过ELISA抗体检测试剂盒特异性检测猪链球菌和猪链球菌Ⅱ型血清抗体水平,并通过PCR测定溶菌酶释放蛋白(muramidasereleased protein,MRP)、胞外因子(extracellular protein fateror,EPF)和溶血素(suilysin,SLY)基因的表达水平。【结果】267份样品中猪链球菌阳性率为26.2%(70/267),猪场阳性率为60%(6/10)。18株猪链球菌Ⅱ型检测到7种毒力基因型。其中,epf^(+)mrp^(+)sly^(+)是此地区优势毒力基因型,其次是epf^(+)mrp^(-)sly^(+)基因型、epf^(+)mrp^(-)sly^(-)基因型和epf^(-)mrp^(+)sly^(-)基因型。【结论】2020年猪链球菌病在甘肃省天水市张家川县流行情况较为严重。
