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Characterization of vegetation structural changes using multi-temporal LiDAR and its relationship with severity in Calcena wildfire
被引:2
作者:
Domingo, Dario
[1
,2
]
Teresa Lamelas, Maria
[2
,3
]
Garcia, Maria
[4
,5
]
机构:
[1] Swiss Fed Inst Forest Snow & Landscape Res WSL, Land Change Sci Res Unit, Zurcherstr 111, CH-8930 Birmensdorf, Switzerland
[2] Univ Zaragoza, Dept Geog, GEOFOREST IUCA, Pedro Cerbuna 12, Zaragoza 50009, Spain
[3] Acad Gen Mil, Ctr Univ Def Zaragoza, Ctra Huesca S-N, Zaragoza 50090, Spain
[4] Inst Pirena Ecol CSIC, Apdo 13034, Zaragoza, Spain
[5] Avda Nuestra Senora Victoria 16, Jaca, Spain
来源:
ECOSISTEMAS
|
2021年
/
30卷
/
02期
关键词:
Three-dimensional PNOA data;
Landsat;
structural diversity indexes;
vegetation gaps;
effects in forest structure;
fire severity;
SPECIES RICHNESS;
AIRBORNE LIDAR;
FIRE REGIME;
FOREST;
BIODIVERSITY;
DYNAMICS;
HABITAT;
BOREAL;
TIME;
D O I:
10.7818/ECOS.2103
中图分类号:
Q14 [生态学(生物生态学)];
学科分类号:
071012 ;
0713 ;
摘要:
The assessment of canopy changes and gap presence after fire provides relevant information to better understand the ecological effect of fire in Mediterranean forests. The study characterizes those changes in Pinus and Quercus forested areas, and their relationship with fire severity in Calcena wildfire. The wildfire burned 4,573 ha in 2012 partially affecting the protected "Parque Natural de la Dehesa del Moncayo" located in Aragon region (Spain). Multi-temporal Light Detection and Ranging (LiDAR) data from two coverages (2011 and 2016) captured within the National Plan from Aerial Ortophotography (PNOA) were used. Landsat 7 images were used to estimate fire severity using the differenced Normalized Burn Ratio (dNBR). Structural changes were characterized using pre-fire and post-fire LiDAR metrics. Gap frequency distribution, size and number of gaps were also analysed. The relationship between severity and the structural changes was analysed through the correlation coefficient. Most of the surface was burned with low (43.32%) or moderate low severity (30.38%) levels reducing forest height, canopy density, and structural diversity. In general, gap size increased after fire. The number of small gaps decreased while medium size gaps (0.2 ha) increased. LiDAR metrics related to the height, variability of height in vertical profile, and density of the forest canopy showed the strongest correlations with fire severity, showing the strongest changes. Results show the interest to use LiDAR data for characterizing structural changes and supporting forest management.
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页数:10
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