火灾后沟谷植被重新生长的场地尺度驱动因素:地中海欧洲案例研究

IF 2.8 3区 地球科学 Q2 GEOGRAPHY, PHYSICAL Earth Surface Processes and Landforms Pub Date : 2024-09-03 DOI:10.1002/esp.5974
Bruno Martins, Catarina Pinheiro, Adélia Nunes, António Bento-Gonçalves, Manuela Laranjeira
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引用次数: 0

摘要

地中海森林退化严重,主要原因是近几十年来野火愈演愈烈,加上人类活动的推动,加速了侵蚀过程和土壤退化。在某些情况下,这也会导致沟壑的形成。本研究的目的是根据沟壑的形态和地形,对其进行识别和特征描述,并确定在野火后控制地中海环境中沟壑植被重新生长的因素。在 2017 年 10 月影响整个研究区域的大型野火之后,根据 2018 年的正射影像图确定了沟壑。为了分析植被恢复情况,我们使用了从七幅 Landsat 8 OLI/TIRS 图像(2017-2022 年)中得出的归一化差异植被指数(NDVI)。我们选用斯皮尔曼相关系数(Spearman's rho)来估算沟谷特征与植被恢复之间的相关性。在运行模型之前,进行了多重共线性检验(VIF ≤ 10,容差≥ 0.1)。为了确定与植被恢复有密切关系的自变量,进行了逐步多元回归。绘制了边际效应图。确定的 38 条沟壑位于森林地区,主要由松树(Pinus pinaster)(17 条沟壑)或松树和阔叶树(Eucalyptus globulus)(8 条沟壑)组合而成。总共有 11 条沟壑存在入侵物种,单独存在(1 条沟壑),与松树一起存在(4 条沟壑),或与其他物种一起存在(6 条沟壑)。另一条沟壑中有阔叶树。在野火发生后的一年里,沟渠中的植被恢复良好。在接下来的几年中,植被的生长速度放缓,直到野火发生 5 年后的 2022 年才达到类似的 NDVI 值。逐步多元回归(SMR)得出了三个模型的解决方案。考虑到平均宽度、海拔高度和流量累积,三个衍生维度覆盖了 66.8% 的方差。在一些地区,野火的频繁发生和强度极大地加剧了沟壑侵蚀造成的土壤流失和退化,这些研究结果有助于为这些地区制定更有效的管理策略,从而提高这些地区的抗灾能力和可持续发展能力。
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Site-scale drivers of post-fire vegetation regrowth in gullies: A case study in Mediterranean Europe

Mediterranean forests are very degraded, mainly due to the intensification of wildfires in recent decades, which, boosted by human activity, have contributed to the acceleration of erosion processes and soil degradation. Under certain conditions, this also contributes to the formation of gullies. The aim of this study is to identify and characterise gullies considering their morphological and topographical aspects and determine the factors that control vegetation regrowth in gullies in a Mediterranean environment after a wildfire. The gullies were identified based on the 2018 orthophotograph, after the large wildfire of October 2017 that affected the entire study area. To analyse the vegetation regrowth, we used the normalised difference vegetation index (NDVI) derived from seven Landsat 8 OLI/TIRS images (2017–2022). The Spearman's rho correlation coefficient was selected to estimate the correlation between gully characteristics and vegetation regrowth. Before running the model, a multicollinearity test was conducted (VIF ≤ 10 and tolerance ≥ 0.1). Stepwise multiple regression was conducted in order to identify the independent variable that has a strong relationship with vegetation regrowth. A marginal effects plot was drawn up. The 38 gullies identified are in forest areas, mainly composed of pine (Pinus pinaster) trees (17 gullies) or a combination of pine trees and broadleaf (Eucalyptus globulus) trees (eight gullies). In all, invasive species are present in 11 gullies, alone (one gully), together with pine trees (four gullies) or with other species (six). The other gully has broadleaf trees. The vegetation in the gully channel recovered well in the year after the wildfire. In the following years there was growth at a slower rate until it reached similar values of NDVI in 2022, 5 years after the wildfire. Stepwise multiple regression (SMR) produced a solution with three models. The three derived dimensions covered 66.8% of the variance, considering the mean width, altitude and flow accumulation. The results can help to devise more effective management strategies for areas where the recurrence and intensity of wildfires have contributed very effectively to soil loss and degradation from gully erosion, with a view to a more resilient and sustainable territory.

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来源期刊
Earth Surface Processes and Landforms
Earth Surface Processes and Landforms 地学-地球科学综合
CiteScore
6.40
自引率
12.10%
发文量
215
审稿时长
4 months
期刊介绍: Earth Surface Processes and Landforms is an interdisciplinary international journal concerned with: the interactions between surface processes and landforms and landscapes; that lead to physical, chemical and biological changes; and which in turn create; current landscapes and the geological record of past landscapes. Its focus is core to both physical geographical and geological communities, and also the wider geosciences
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