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Topographic and climatic controls on soil environments and net primary production in a rugged temperate hardwood forest in Korea

机译:韩国崎a的温带阔叶林对土壤环境和净初级生产的地形和气候控制

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摘要

Eight years (1994-2001) of field data and a biogeochemical process model, BIOME-BGC, were used to examine effects of local topography and inter-annual climatic variability on soil physical (i.e., soil moisture and temperature) and biogeochemical (i.e., organic matter content, soil respiration, and leaf litter production) variables in a temperate hardwood forest in Korea. The field data were collected from adjacent south-facing (S) and north-facing (N) slopes, respectively, to examine effects of local topography, and were utilized to validate predictability according to BIOME-BGC which was applied to model unmeasured hydro-ecological processes [i.e., evapotranspiration, net primary production (NPP), and net ecosystem exchange of carbon]. Our field-data analyses indicated that soil-related variables including soil temperature, water content, organic matter, soil respiration, and floor leaf litter store significantly differed between the S and N slopes, while leaf litter production did not differ as significantly as the soil-related variables. The BIOME-BGC predictions showed good agreement with the mean field data aggregated across the slopes. Our simulation results and field observations indicated that the inter-annual variations of leaf litter production and maximum leaf area index were best explained by precipitation, both at a 1-year lag, while variation in annual NPP was well correlated with precipitation without a temporal lag. Our results imply that: (1) local topography needs to be explicitly considered in ecosystem studies as a forcing function generating spatial heterogeneity in soil physical and biogeochemical variables within a rugged landscape, and (2) water limits vegetation productivity in our study forest, in spite of a relatively high annual precipitation rate (1,579 mm year~(-1)).
机译:使用八年(1994-2001)的现场数据和生物地球化学过程模型BIOME-BGC来研究局部地形和年际气候变化对土壤物理(即土壤湿度和温度)和生物地球化学(即韩国温带阔叶林中的有机物含量,土壤呼吸作用和枯枝落叶产量)变量。现场数据分别从相邻的南坡(S)和北坡(N)收集,以检查局部地形的影响,并根据BIOME-BGC验证了可预测性,BIOME-BGC用于模拟未测水文模型。生态过程[即蒸散,净初级生产(NPP)和净生态系统碳交换]。我们的现场数据分析表明,与土壤相关的变量(包括土壤温度,水分,有机质,土壤呼吸作用和地上凋落物的存储量)在S和N坡度之间存在显着差异,而凋落物的产量没有土壤显着差异相关变量。 BIOME-BGC的预测结果与跨坡度聚集的平均现场数据显示出良好的一致性。我们的模拟结果和实地观察表明,用凋落物最好地解释了凋落物产量和最大叶面积指数的年际变化,二者均以1年为时差,而年NPP的变化与降水量有很好的相关性,而没有时间性滞后。 。我们的结果表明:(1)在生态系统研究中必须明确考虑局部地形,这是在崎landscape不平的景观中土壤物理和生物地球化学变量产生空间异质性的强迫函数,并且(2)水限制了我们研究森林中植被的生产力。尽管年降水量相对较高(1,579 mm年〜(-1))。

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