采用涡度相关技术对南方"双季稻-冬闲田"生态系统CO_2通量进行了一年的连续监测,分析了"双季稻-冬闲田"生态系统碳交换[净碳交换量(NEE)、总初级生产力(GPP)和生态系统总呼吸(Reco)]的动态变化及其影响因子。结果表...采用涡度相关技术对南方"双季稻-冬闲田"生态系统CO_2通量进行了一年的连续监测,分析了"双季稻-冬闲田"生态系统碳交换[净碳交换量(NEE)、总初级生产力(GPP)和生态系统总呼吸(Reco)]的动态变化及其影响因子。结果表明:南方"双季稻-冬闲田"生态系统NEE具有明显的日变化和季节变化,NEE月平均日变化在生长季表现为较明显的"U"型曲线,不同月份"U"型高度不同;NEE季节变化存在明显的两个吸收期(NEE为负)和三个排放期(NEE为正),NEE在早稻和晚稻的生长季有两个明显的碳吸收期,早稻平均值为-0.58 g C·m^(-2)·d^(-1),最大值出现在2015年6月20日,为-1.77 g C·m^(-2)·d^(-1),晚稻平均值为-1.28 g C·m^(-2),最大值出现在2015年9月19日,为-2.23 g C·m^(-2)·d^(-1);冬闲期存在两个碳排放期,平均值为2.68 g C·m^(-2)·d^(-1)。水稻种植期间白天的净碳交换受光合有效辐射的影响显著,夜间的净碳交换受5 cm土壤温度的显著影响,温度低时的冬闲期温度敏感性高于温度高时的双季稻种植期。全年的NEE总和表现为碳排放,达778.4 g C·m^(-2),GPP为1 643.7 g C·m^(-2),Reco为2 425.8 g C·m^(-2)。因此,南方"双季稻-冬闲田"生态系统有可观的固碳减排潜力。展开更多
Carbon sequestration in forests is of great interest due to concerns about global climate change.Carbon storage rates depend on ecosystem fluxes（photosynthesis and ecosystem respiration）,typically quantified as net ...Carbon sequestration in forests is of great interest due to concerns about global climate change.Carbon storage rates depend on ecosystem fluxes（photosynthesis and ecosystem respiration）,typically quantified as net ecosystem exchange（NEE）.Methods to estimate forest NEE without intensive site sampling are needed to accurately assess rates of carbon sequestration at stand-level and larger scales.We produced spatially-explicit estimates of NEE for 9 770 ha of slash pine（Pinus elliottii） plantations in North-Central Florida for a single year by coupling remote sensing-based estimates of leaf area index（LAI） with a process-based growth simulation model.LAI estimates produced from a neural-network modeling of ground plot and Landsat TM satellite data had a mean of 1.06（range 0-3.93,including forest edges）.Using the neural network LAI values as inputs,the slash pine simulation model（SPM2） estimates of NEE ranged from-5.52 to 11.06 Mg·ha^-1·a^-1with a mean of 3.47 Mg·ha^-1·a^-1Total carbon storage for the year was 33920 t,or about 3.5 tons per hectare.Both estimated LAI and NEE were highly sensitive to fertilization.展开更多
文摘采用涡度相关技术对南方"双季稻-冬闲田"生态系统CO_2通量进行了一年的连续监测,分析了"双季稻-冬闲田"生态系统碳交换[净碳交换量(NEE)、总初级生产力(GPP)和生态系统总呼吸(Reco)]的动态变化及其影响因子。结果表明:南方"双季稻-冬闲田"生态系统NEE具有明显的日变化和季节变化,NEE月平均日变化在生长季表现为较明显的"U"型曲线,不同月份"U"型高度不同;NEE季节变化存在明显的两个吸收期(NEE为负)和三个排放期(NEE为正),NEE在早稻和晚稻的生长季有两个明显的碳吸收期,早稻平均值为-0.58 g C·m^(-2)·d^(-1),最大值出现在2015年6月20日,为-1.77 g C·m^(-2)·d^(-1),晚稻平均值为-1.28 g C·m^(-2),最大值出现在2015年9月19日,为-2.23 g C·m^(-2)·d^(-1);冬闲期存在两个碳排放期,平均值为2.68 g C·m^(-2)·d^(-1)。水稻种植期间白天的净碳交换受光合有效辐射的影响显著,夜间的净碳交换受5 cm土壤温度的显著影响,温度低时的冬闲期温度敏感性高于温度高时的双季稻种植期。全年的NEE总和表现为碳排放,达778.4 g C·m^(-2),GPP为1 643.7 g C·m^(-2),Reco为2 425.8 g C·m^(-2)。因此,南方"双季稻-冬闲田"生态系统有可观的固碳减排潜力。
基金supported by the United States Forest Service and the Forest Biology Research Cooperative at the University of Florida
文摘Carbon sequestration in forests is of great interest due to concerns about global climate change.Carbon storage rates depend on ecosystem fluxes（photosynthesis and ecosystem respiration）,typically quantified as net ecosystem exchange（NEE）.Methods to estimate forest NEE without intensive site sampling are needed to accurately assess rates of carbon sequestration at stand-level and larger scales.We produced spatially-explicit estimates of NEE for 9 770 ha of slash pine（Pinus elliottii） plantations in North-Central Florida for a single year by coupling remote sensing-based estimates of leaf area index（LAI） with a process-based growth simulation model.LAI estimates produced from a neural-network modeling of ground plot and Landsat TM satellite data had a mean of 1.06（range 0-3.93,including forest edges）.Using the neural network LAI values as inputs,the slash pine simulation model（SPM2） estimates of NEE ranged from-5.52 to 11.06 Mg·ha^-1·a^-1with a mean of 3.47 Mg·ha^-1·a^-1Total carbon storage for the year was 33920 t,or about 3.5 tons per hectare.Both estimated LAI and NEE were highly sensitive to fertilization.
