The wavelet transform was applied to studying the regime shifts of hydrometeorological factors(i.e.,precipitation,air temperature,sea surface temperature and sea surface salinity)during the period of 1961–2000 in the...The wavelet transform was applied to studying the regime shifts of hydrometeorological factors(i.e.,precipitation,air temperature,sea surface temperature and sea surface salinity)during the period of 1961–2000 in the Jiaozhou Bay(JZB).The results indicated clearly that these factors show variability of multiple timescales,with interannual and decadal periods.The local abrupt changes such as the 1978–1979 and 1988–1989 shifts feature the physical environment variation,which is consistent with the Southern Oscillation and Arctic Oscillation in the northern hemisphere.In regard to the JZB ecosystem,the benthic diatom cell abundance(BEN)showed a decrease shift in1978–1979,which is closely related to the precipitation abrupt decrease,while the shellfish mortality disaster in the JZB greatly released the predating pressure of diatom growth,possibly resulting in BEN increase shift in 1995.展开更多
The impacts of climate change in terms of forest vegetation shifts and Net Primary Productivity (NPP) changes are assessed for Brahmaputra, Koshi and Indus river basins for the mid (2021-2050) and long (2071-2100) ter...The impacts of climate change in terms of forest vegetation shifts and Net Primary Productivity (NPP) changes are assessed for Brahmaputra, Koshi and Indus river basins for the mid (2021-2050) and long (2071-2100) terms for RCP4.5 and RCP8.5 scenarios. Two Dynamical Global Vegetation Models (DGVMs), Integrated BIosphere Simulator (IBIS) and (Lund Postdam and Jena (LPJ), have been used for this purpose. The DGVMs are driven by the ensemble mean climate projections from 5 climate models that contributed to the CMIP5 data base. While both DGVMs project vegetation shifts in the forest areas of the basins, there are large differences in vegetation shifts projected by IBIS and LPJ. This may be attributed to differing representation of land surface processes and to differences in the number of vegetation types (Plant Functional Types) defined and simulated in the two models. However, there is some agreement in NPP changes as projected by both IBIS and LPJ, with IBIS mostly projecting a larger increase in NPP for the future scenarios. Despite the uncertainties with respect to climate change projections at river basin level and the differing impact assessments from different DGVMs, it is necessary to assess the “vulnerability” of the forest ecosystems and forest dependent communities to current climate risks and future climate change and to develop and implement resilience or adaptation measures. Assessment of the “vulnerability” and designing of the adaptation strategies could be undertaken for all the forested grids where both IBIS and LPJ project vegetation shifts.展开更多
Taking sixteen main fishery production regions as the study objects,this paper is to examine the fishery industrial structure and investigate the correlation between the economic growth of the fishery industry and the...Taking sixteen main fishery production regions as the study objects,this paper is to examine the fishery industrial structure and investigate the correlation between the economic growth of the fishery industry and the fishery industrial structure during the period 1997-2013 by the shift-share analysis. The study results show that( i) four types of regional industrial structure exist in the fishery industry in China;( ii)all the three sectors-fishing production,fish processing( manufacturing) and fish marketing( distribution),have emerged with large potential for promoting the national fishery industry growth,especially for the latter two;( iii) the factors of industry-mix and competitive position have significantly different impacts on the growth of fishery industry in different main fishery production regions. This study is one of the comprehensive studies on the status of regional fishery industrial structure,and the competitiveness of regional fishery industry in China.展开更多
基金financially supported jointly by the National Natural Science Foundation of China(Grant No.40036010)the Special Fund for Public Welfare Industry(Oceanography)(Grant No.200805011)
文摘The wavelet transform was applied to studying the regime shifts of hydrometeorological factors(i.e.,precipitation,air temperature,sea surface temperature and sea surface salinity)during the period of 1961–2000 in the Jiaozhou Bay(JZB).The results indicated clearly that these factors show variability of multiple timescales,with interannual and decadal periods.The local abrupt changes such as the 1978–1979 and 1988–1989 shifts feature the physical environment variation,which is consistent with the Southern Oscillation and Arctic Oscillation in the northern hemisphere.In regard to the JZB ecosystem,the benthic diatom cell abundance(BEN)showed a decrease shift in1978–1979,which is closely related to the precipitation abrupt decrease,while the shellfish mortality disaster in the JZB greatly released the predating pressure of diatom growth,possibly resulting in BEN increase shift in 1995.
文摘The impacts of climate change in terms of forest vegetation shifts and Net Primary Productivity (NPP) changes are assessed for Brahmaputra, Koshi and Indus river basins for the mid (2021-2050) and long (2071-2100) terms for RCP4.5 and RCP8.5 scenarios. Two Dynamical Global Vegetation Models (DGVMs), Integrated BIosphere Simulator (IBIS) and (Lund Postdam and Jena (LPJ), have been used for this purpose. The DGVMs are driven by the ensemble mean climate projections from 5 climate models that contributed to the CMIP5 data base. While both DGVMs project vegetation shifts in the forest areas of the basins, there are large differences in vegetation shifts projected by IBIS and LPJ. This may be attributed to differing representation of land surface processes and to differences in the number of vegetation types (Plant Functional Types) defined and simulated in the two models. However, there is some agreement in NPP changes as projected by both IBIS and LPJ, with IBIS mostly projecting a larger increase in NPP for the future scenarios. Despite the uncertainties with respect to climate change projections at river basin level and the differing impact assessments from different DGVMs, it is necessary to assess the “vulnerability” of the forest ecosystems and forest dependent communities to current climate risks and future climate change and to develop and implement resilience or adaptation measures. Assessment of the “vulnerability” and designing of the adaptation strategies could be undertaken for all the forested grids where both IBIS and LPJ project vegetation shifts.
基金Supported by National Natural Science Foundation of China(71503131)Humanity and Social Science Foundation of Ministry of Education of China(14YJC790088)
文摘Taking sixteen main fishery production regions as the study objects,this paper is to examine the fishery industrial structure and investigate the correlation between the economic growth of the fishery industry and the fishery industrial structure during the period 1997-2013 by the shift-share analysis. The study results show that( i) four types of regional industrial structure exist in the fishery industry in China;( ii)all the three sectors-fishing production,fish processing( manufacturing) and fish marketing( distribution),have emerged with large potential for promoting the national fishery industry growth,especially for the latter two;( iii) the factors of industry-mix and competitive position have significantly different impacts on the growth of fishery industry in different main fishery production regions. This study is one of the comprehensive studies on the status of regional fishery industrial structure,and the competitiveness of regional fishery industry in China.
