globalchange  > 气候减缓与适应
DOI: 10.1071/WF18153
WOS记录号: WOS:000476796800006
论文题名:
Assessing the impact of different landscape features on post-fire forest recovery with multitemporal remote sensing data: the case of Mount Taygetos (southern Greece)
作者: Christopoulou, Anastasia1; Mallinis, Giorgos2; Vassilakis, Emmanuel3; Farangitakis, Georgios-Pavlos4; Fyllas, Nikolaos M.5; Kokkoris, Giorgos D.6; Arianoutsou, Margarita1
通讯作者: Arianoutsou, Margarita
刊名: INTERNATIONAL JOURNAL OF WILDLAND FIRE
ISSN: 1049-8001
EISSN: 1448-5516
出版年: 2019
卷: 28, 期:7, 页码:521-532
语种: 英语
英文关键词: black pine ; conifer forest ; GEOBIA ; geomorphology ; multitemporal ; random forest
WOS关键词: PINUS-HALEPENSIS MILL. ; PARNITHA NATIONAL-PARK ; VEGETATION RECOVERY ; REGENERATION PATTERNS ; CLIMATE-CHANGE ; BURNED AREA ; MEDITERRANEAN PINES ; SPATIAL-PATTERNS ; CATALONIA NE ; TIME-SERIES
WOS学科分类: Forestry
WOS研究方向: Forestry
英文摘要:

Fires affecting large areas usually create a mosaic of recovering plant communities reflecting their pre-fire composition and local conditions of burning. However, post-fire recovery patterns may also reveal the effects of landscape heterogeneity on the natural regeneration process of plant communities. This study combines field data and remote sensing image interpretation techniques to assess the role of various landscape characteristics in the post-fire recovery process in a mountainous region of Greece burned by a severe wildfire. Remote sensing techniques were used to accurately map secluded, large burned areas. By introducing a temporal component, we explored the correlation between post-fire regeneration and underlying topography, soils and basement rock. Pre-fire forest cover was reduced by more than half 8 years after fire. Regarding the dominant pre-fire forest trees, Abies cephalonica did not regenerate well after fire and most pre-fire stands were converted to grasslands and shrublands. In contrast, Pinus nigra regenerated sufficiently to return to its pre-fire cover, especially in areas underlain by softer basement rock. The use of different time series of high-resolution images improved the quality of the results obtained, justifying their use despite their high cost.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/126402
Appears in Collections:气候减缓与适应

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作者单位: 1.Univ Athens, Fac Biol, Dept Systemat & Ecol, Athens 15784, Greece
2.Democritus Univ Thrace, Dept Forestry & Management Environm & Nat Resourc, Orestiada 68200, Greece
3.Univ Athens, Fac Geol, Dept Geog & Climatol, Athens 15784, Greece
4.Univ Durham, Dept Earth Sci, Sci Site, Durham DH1 3LE, England
5.Univ Aegean, Dept Environm, Biodivers Conservat Lab, Univ Hill, GR-81100 Mitilini, Lesvos Island, Greece
6.Univ Aegean, Fac Environm, Dept Marine Sci, Univ Hill, GR-81100 Mitilini, Lesvos Island, Greece

Recommended Citation:
Christopoulou, Anastasia,Mallinis, Giorgos,Vassilakis, Emmanuel,et al. Assessing the impact of different landscape features on post-fire forest recovery with multitemporal remote sensing data: the case of Mount Taygetos (southern Greece)[J]. INTERNATIONAL JOURNAL OF WILDLAND FIRE,2019-01-01,28(7):521-532
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