Using digital cover photography to track the canopy recovery process following a typhoon disturbance in a cool-temperate deciduous forest

Using digital cover photography to track the canopy recovery process following a typhoon disturbance in a cool-temperate deciduous forest
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使用数字覆盖摄影追踪冷温带落叶林台风扰动后的树冠恢复过程

DOI:
10.1139/cjfr-2018-0005
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发表时间:
2018
影响因子:
2.2
通讯作者:
T.
T.
中科院分区:
农林科学3区
文献类型:
--
作者:
Toda;M.;Nakai;T.;Kodama;Y.;Hara;T.

文献摘要

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极端气候影响陆地生态系统的功能、结构和组成,而生态系统对极端气候的响应因极端事件发生的频率、强度和时间的不同而不同。我们研究了日本北部寒温带落叶森林在台风扰动后的冠层恢复过程,基于6年的冠层覆盖图像数据,使用数字覆盖摄影(DCP)方法估算了与叶片和木材质量、空间动态或叶片元素排列相关的冠层指标。dcp衍生的图像检测到台风后2 ~ 3年内叶面积指数和叶覆盖增加(即恢复到台风前的状态)。与此同时,随着冠层空间有效性的增加,6年后叶面积和叶盖度的恢复是由于叶片要素的空间重新排列(即冠内间隙分数变小、叶丛化)。因此,台风过后叶片要素空间排列恢复到台风前状态的时间要比叶片和木块恢复的时间长。该研究为极端气候事件后生态系统功能和结构可能的弹性适应提供了重要的生态学意义。
Climate extremes impact the function, structure, and composition of terrestrial ecosystems, while ecosystem responses to climate extremes differ with variations in frequency, intensity, and timing of the extreme event. We examined the canopy recovery processes following a typhoon disturbance in a cool–temperate deciduous forest in northern Japan based on 6-year data of canopy coverage imagery using a digital cover photography (DCP) approach that estimates canopy metrics relevant to leaf and woody masses, spatial dynamics, or arrangement of foliage elements. The DCP-derived imagery detected increases in leaf area index and foliage cover within 2∼3 years after the typhoon (i.e., recovery to the pre-typhoon state). Meanwhile, the recovery in leaf area and foliage cover observed after 6 years resulted from a spatial re-arrangement of the foliage elements (i.e., small within-crown gap fraction, foliage clumping) with increasing canopy space availability. Thus, the recovery of the spatial arrangement of foliage elements after the typhoon to the pre-typhoon state takes longer than the recovery of the leaf and woody masses. This study provides an important ecological implication in terms of possible resilience adaptation for ecosystem function and structure following extreme climate events.