Satellite data track spatial and temporal declines in European beech forest canopy characteristics associated with intense drought events in the Rhön Biosphere Reserve, central Germany.
Satellite data track spatial and temporal declines in European beech forest canopy characteristics associated with intense drought events in the Rhön Biosphere Reserve, central Germany.
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卫星数据跟踪与德国中部Rhön生物圈保护区强烈干旱事件相关的欧洲山毛榉森林冠层特征的空间和时间下降。
DOI：
10.1111/plb.13391
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发表时间：
2022-12
期刊：
影响因子：
3.9
通讯作者：
Donoghue, D. N. M.
中科院分区：
文献类型：
--
作者：
West, E.;Morley, P. J.;Jump, A. S.;Donoghue, D. N. M.
气候变化导致干旱的强度和频率不断增加，需要有效的方法来监测干旱影响。我们试图确定不同的卫星遥感源如何影响我们识别严重干旱事件期间欧洲山毛榉林冠层健康的时间和空间影响的能力。来自三个卫星系列（MODIS、Landsat 和 Sentinel-2）的图像用于观察德国中部伦恩生物圈保护区 2003 年和 2018 年严重干旱期间树冠健康的变化。计算了 2000 年至 2020 年期间每个卫星的每月归一化植被指数 (NDVI) 异常值，并与温度、降水和标准化降水蒸散指数 (SPEI) 进行比较。 2003 年和 2018 年严重的冠层影响与 8 月和 9 月的 NDVI 较低有关。在林分尺度上，Sentinel-2 数据可以在空间上详细了解冠层影响，而 MODIS 提供了干旱对森林冠层影响的最清晰的时间进程。低 NDVI 值并不完全与极端温度和降水单独相关；然而，8 月份冠层 NDVI 较低与 SPEI 值低于 -1.5 相关。尽管根据气象参数定义，2018 年的严重干旱在 7 月达到顶峰，但冠层 NDVI 直到 8 月才下降，这凸显出我们在干旱事件期间检测冠层影响的能力对图像采集的时间很敏感。没有任何一个卫星传感器能够提供干旱影响的时间或空间进展的全貌。因此，串联使用传感器可以在严重干旱事件期间最好地表示树冠健康状况。卫星 NDVI 数据能够捕获欧洲山毛榉森林中干旱引起的冠层胁迫，但对表达时间很敏感，并且需要结合数据源来了解冠层胁迫的时间和空间模式。
The increasing intensity and frequency of droughts under climate change demands effective ways to monitor drought impacts. We sought to determine how different satellite remote sensing sources influence our ability to identify temporal and spatial impacts on European beech forest canopy health during intense drought events. Imagery from three satellite series (MODIS, Landsat and Sentinel‐2) was used to observe changes in canopy health during the intense droughts of 2003 and 2018 in the Rhön Biosphere Reserve, central Germany. Monthly normalized difference vegetation index (NDVI) anomalies were calculated for each satellite between 2000–2020 and compared against temperature, precipitation and the standardized precipitation evapotranspiration index (SPEI). Severe canopy impacts in 2003 and 2018 were associated with low NDVI in August and September. At the stand‐scale, Sentinel‐2 data allowed a spatially detailed understanding of canopy‐level impacts, while MODIS provided the clearest temporal progression of the drought’s impacts on the forest canopy. Low NDVI values were not exclusively associated with extremes of either temperature and precipitation individually; however, low canopy NDVI in August was associated with SPEI values below −1.5. Although the intense drought of 2018, as defined by meteorological parameters, peaked in July, canopy NDVI did not decline until August, highlighting that our ability to detect canopy impact during drought events is sensitive to the timing of image acquisition. No single satellite sensor affords a full picture of the temporal or spatial progression of drought impacts. Consequently, using sensors in tandem provides the best possible representation of canopy health during intense drought events. Satellite NDVI data is able to capture drought induced canopy stress in European beech forests, but is sensitive to the timing of expression and a combination of data sources is needed to understand both temporal and spatial patterns of canopy stress.
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影响因子：
11.6
作者：
Brun P;Psomas A;Ginzler C;Thuiller W;Zappa M;Zimmermann NE
通讯作者：
Zimmermann NE
影响因子：
2.7
作者：
Allen, Craig D.;Breshears, David D.;McDowell, Nate G.
通讯作者：
McDowell, Nate G.
DOI：
10.1002/joc.3887
发表时间：
2014-08-01
期刊：
INTERNATIONAL JOURNAL OF CLIMATOLOGY
影响因子：
--
作者：
Begueria, Santiago;Vicente-Serrano, Sergio M.;Latorre, Borja
通讯作者：
Latorre, Borja
影响因子：
3.7
作者：
Allen, Craig D.;Macalady, Alison K.;Cobb, Neil
通讯作者：
Cobb, Neil
影响因子：
13.5
作者：
Gorelick, Noel;Hancher, Matt;Moore, Rebecca
通讯作者：
Moore, Rebecca