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Anthromes displaying evidence of weekly cycles in active fire data cover 70 of the global land surface

机译:在每周一次的活跃火数据中显示出每周周期证据的人为覆盖了70%的全球陆地

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摘要

Across the globe, human activities have been gaining importance relatively to climate and ecology as the main controls on fire regimes and consequently human activity became an important driver of the frequency, extent and intensity of vegetation burning worldwide. Our objective in the present study is to look for weekly cycles in vegetation fire activity at global scale as evidence of human agency, relying on the original MODIS active fire detections at 1 km spatial resolution (MCD14ML) and using novel statistical methodologies to detect significant periodicities in time series data. We tested the hypotheses that global fire activity displays weekly cycles and that the weekday with the fewest fires is Sunday. We also assessed the effect of land use and land cover on weekly fire cycle significance by testing those hypotheses separately for the Villages, Settlements, Croplands, Rangelands, Seminatural, and Wildlands anthromes. Based on a preliminary data analysis of the daily global active fire counts periodogram, we developed an harmonic regression model for the mean function of daily fire activity and assumed a linear model for the de-seasonalized time series. For inference purposes, we used a Bayesian methodology and constructed a simultaneous 95% credible band for the mean function. The hypothesis of a Sunday weekly minimum was directly investigated by computing the probabilities that the mean functions of every weekday (Monday to Saturday) are inside the credible band corresponding to mean Sunday fire activity. Since these probabilities are small, there is statistical evidence of significantly fewer fires on Sunday than on the other days of the week. Cropland, rangeland, and seminatural anthromes, which cover 70% of the global land area and account for 94% of the active fires analysed, display weekly cycles in fire activity. Due to lower land management intensity and less strict control over fire size and duration, weekly cycles in Rangelands and Seminatural anthromes, which jointly account for 53.46% of all fires, although statistically significant are weaker than those detected in Croplands.
机译:在全球范围内,人类活动相对于气候和生态而言已成为火势的主要控制手段,因此其重要性日益增加,因此人类活动已成为全球范围内植被燃烧的频率,程度和强度的重要驱动因素。我们在本研究中的目标是寻找全球范围内每周一次的植被火灾活动周期,作为人类活动的证据,依靠原始的MODIS主动火灾探测以1 km空间分辨率(MCD14ML)并使用新颖的统计方法来探测重要的周期性时间序列数据。我们检验了以下假设:全球火灾活动显示每周周期,而火灾最少的工作日是星期日。我们还通过分别测试针对村庄,居民点,农田,牧场,牧场,半自然和荒地人类的假设,评估了土地使用和土地覆盖对每周火灾周期重要性的影响。在对每日全球活跃火灾计数周期图的初步数据分析的基础上,我们为每日火灾活动的平均值函数开发了一个谐波回归模型,并为反季节化的时间序列假设了一个线性模型。为了进行推断,我们使用贝叶斯方法并为均值函数构建了一个同时95%的可信带。通过计算每个工作日(周一至周六)的平均功能在与平均周日火灾活动相对应的可信范围内的概率,直接研究了周日每周最小值的假设。由于这些概率很小,因此有统计证据表明,周日发生的火灾明显少于一周中的其他几天。农田,牧场和半自然人为生物覆盖了每周一次的火警活动,它们覆盖了全球70%的土地面积,占分析的活跃火灾的94%。由于土地管理强度较低,并且对火势大小和持续时间的控制较不严格,Randlands和Seminatural人工林的每周周期总计占所有火势的53.46%,尽管统计上的显着性低于农田。

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