分析北部湾南流江流域净初级生产力时空动态变化特征及其驱动机制,为该区域生态环境保护及应对气候变化提供科学依据。基于光能利用率模型(CASA),利用遥感数据、气象数据和植被类型数据估算了研究区2000—2015年流域的净初级生产力(NPP)...分析北部湾南流江流域净初级生产力时空动态变化特征及其驱动机制,为该区域生态环境保护及应对气候变化提供科学依据。基于光能利用率模型(CASA),利用遥感数据、气象数据和植被类型数据估算了研究区2000—2015年流域的净初级生产力(NPP),借助于Theil Sen趋势、Mann Kendall检验以及Hurst指数等数理统计方法对研究区NPP的时空变化特征、未来趋势及其驱动因素进行了定量化分析。结果表明:①时间尺度上,流域NPP总体上呈现出波动上升趋势,增速为44.03 g C m^-2(10 a)^-1,快于广西自治区,上游和下游地区NPP快于全区,而中游地区慢于全区;②空间尺度上,流域NPP的分布规律表现出明显的地域分异,中游最高(1098.99 g C/m^2),下游次之(1041.71 g C/m^2),而上游最小(1013.22 g C/m^2)。NPP的Sen趋势度介于-77.10—74.80 g C m^-2 a^-1之间,在空间上呈现出增加的趋势。③空间波动性上,流域NPP的变异系数较大,其值介于0.01—0.71,其中洪潮江水库、小江水库周边以及玉林市的城乡建设用地扩张区域处于高波动状态,而流域中部的六万大山以及五皇山地带则处于低波动状态;④未来变化趋势上,流域NPP的Hurst指数范围介于0—0.99之间,平均值为0.70,呈现单峰右偏分布,预示着流域NPP未来处于持续性增加的趋势;⑤驱动机制上,流域NPP与多年平均气温呈正相关关系,与年均降水量呈负相关关系,气温是该流域植被NPP的主控因子。由耕地转化为建设用地所导致的NPP损失值最大,其值达到4715.62 t/a,而草地转换为建设用地导致NPP损失值最小,其值仅为184.63 t/a。展开更多
By studying the structural characteristics and carbon storage of the mangrove island ecosystem in the Beibu Gulf,this study provides a scientific basis for mangrove ecological compensation in the coastal areas of Guan...By studying the structural characteristics and carbon storage of the mangrove island ecosystem in the Beibu Gulf,this study provides a scientific basis for mangrove ecological compensation in the coastal areas of Guangxi,South China Sea.On the basis of the unmanned aerial vehicle remote sensing images and a sample plot survey,the object-oriented multi-scale segmentation algorithm is used to extract the mangrove community type information,and one-way analysis of variance is conducted to analyse the structural characteristics of the mangrove community.The carbon storage and carbon density of different mangrove ecosystems were obtained based on the allometric growth equation of mangrove plants.The analysis yielded four main results.(1)The island group covers about 27.10 ha,41.32%(11.20 ha)of which represents mangrove areas.The mangrove forest is widely distributed in the tidal flats around the islands.(2)The main mangrove types were Aegiceras corniculatum,Kandelia obovata+Aegiceras corniculatum,Avicennia marina+Aegiceras corniculatum and Avicennia marina communities.(3)Amongst the mangrove plants,Avicennia marina had the highest biomass(18.52 kg plant^(–1)),followed by Kandelia obovata(7.84 kg plant^(–1))and Aegiceras corniculatum(3.85 kg plant^(–1)).(4)The mangrove carbon density difference was significant.Kandelia obovata had the highest carbon density(148.03 t ha^(–1)),followed by Avicennia marina(104.79 t ha^(–1))and Aegiceras corniculatum(99.24 t ha^(–1)).The carbon storage of the mangrove island ecosystem was 1194.70 t,which was higher than in other areas with the same latitude.The carbon sequestration capacity of the mangrove was relatively strong.展开更多
文摘分析北部湾南流江流域净初级生产力时空动态变化特征及其驱动机制,为该区域生态环境保护及应对气候变化提供科学依据。基于光能利用率模型(CASA),利用遥感数据、气象数据和植被类型数据估算了研究区2000—2015年流域的净初级生产力(NPP),借助于Theil Sen趋势、Mann Kendall检验以及Hurst指数等数理统计方法对研究区NPP的时空变化特征、未来趋势及其驱动因素进行了定量化分析。结果表明:①时间尺度上,流域NPP总体上呈现出波动上升趋势,增速为44.03 g C m^-2(10 a)^-1,快于广西自治区,上游和下游地区NPP快于全区,而中游地区慢于全区;②空间尺度上,流域NPP的分布规律表现出明显的地域分异,中游最高(1098.99 g C/m^2),下游次之(1041.71 g C/m^2),而上游最小(1013.22 g C/m^2)。NPP的Sen趋势度介于-77.10—74.80 g C m^-2 a^-1之间,在空间上呈现出增加的趋势。③空间波动性上,流域NPP的变异系数较大,其值介于0.01—0.71,其中洪潮江水库、小江水库周边以及玉林市的城乡建设用地扩张区域处于高波动状态,而流域中部的六万大山以及五皇山地带则处于低波动状态;④未来变化趋势上,流域NPP的Hurst指数范围介于0—0.99之间,平均值为0.70,呈现单峰右偏分布,预示着流域NPP未来处于持续性增加的趋势;⑤驱动机制上,流域NPP与多年平均气温呈正相关关系,与年均降水量呈负相关关系,气温是该流域植被NPP的主控因子。由耕地转化为建设用地所导致的NPP损失值最大,其值达到4715.62 t/a,而草地转换为建设用地导致NPP损失值最小,其值仅为184.63 t/a。
基金The Guangxi Science and Technology Base and Talent Project(GuikeAD19245041,2019AC20088)The Guangxi Key Research and DevelopmentProgram(AA18118038)The Project to Improve the Basic Research Ability of Young and Middle-Aged Teachers in Guangxi Universities(2020KY09021,2019KY0426).
文摘By studying the structural characteristics and carbon storage of the mangrove island ecosystem in the Beibu Gulf,this study provides a scientific basis for mangrove ecological compensation in the coastal areas of Guangxi,South China Sea.On the basis of the unmanned aerial vehicle remote sensing images and a sample plot survey,the object-oriented multi-scale segmentation algorithm is used to extract the mangrove community type information,and one-way analysis of variance is conducted to analyse the structural characteristics of the mangrove community.The carbon storage and carbon density of different mangrove ecosystems were obtained based on the allometric growth equation of mangrove plants.The analysis yielded four main results.(1)The island group covers about 27.10 ha,41.32%(11.20 ha)of which represents mangrove areas.The mangrove forest is widely distributed in the tidal flats around the islands.(2)The main mangrove types were Aegiceras corniculatum,Kandelia obovata+Aegiceras corniculatum,Avicennia marina+Aegiceras corniculatum and Avicennia marina communities.(3)Amongst the mangrove plants,Avicennia marina had the highest biomass(18.52 kg plant^(–1)),followed by Kandelia obovata(7.84 kg plant^(–1))and Aegiceras corniculatum(3.85 kg plant^(–1)).(4)The mangrove carbon density difference was significant.Kandelia obovata had the highest carbon density(148.03 t ha^(–1)),followed by Avicennia marina(104.79 t ha^(–1))and Aegiceras corniculatum(99.24 t ha^(–1)).The carbon storage of the mangrove island ecosystem was 1194.70 t,which was higher than in other areas with the same latitude.The carbon sequestration capacity of the mangrove was relatively strong.
