Analyzing spatial and temporal variability in short-term rates of post-fire vegetation return from Landsat time series

被引:95
作者
Frazier, Ryan J. [1 ]
Coops, Nicholas C. [1 ]
Wulder, Michael A. [2 ]
Hermosilla, Txomin [1 ]
White, Joanne C. [2 ]
机构
[1] Univ British Columbia, Dept Forest Resources Management, Integrated Remote Sensing Studio, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada
[2] Nat Resources Canada, Pacific Forestry Ctr, Canadian Forest Serv, 506 West Burnside Rd, Victoria, BC V8Z 1M5, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Boreal; Forest; Recovery; Regeneration; Disturbance; Landsat: Time series; Ecozone; Taiga Shield; REMOTE-SENSING TECHNIQUES; CARIBOU TELEMETRY DATA; FOREST RECOVERY; CLIMATE-CHANGE; NORTH-AMERICA; BURN SEVERITY; WHITE SPRUCE; PHOTOSYNTHETIC TRENDS; BOREAL FORESTS; BLACK SPRUCE;
D O I
10.1016/j.rse.2017.11.007
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The disturbance and recovery cycles of Canadian boreal forests result in highly dynamic landscapes, requiring continued monitoring to observe and characterize environmental change over time. Well-established remote sensing methods capture change over forested ecosystems, however the return of forest vegetation in disturbed locations is infrequently documented and not well understood. Landsat time-series data allows for both the capture of the initial disturbance and the ability to monitor the subsequent vegetation regeneration with spectral vegetation indices. In this research, we used three spectral recovery metrics derived from an annual Landsatbased per-pixel Normalized Burn Ratio time series to determine trends in the short-term rates of spectral recovery for areas disturbed by wildfire (1986-2006), as assessed using a series of 5-year post-disturbance windows to observe forest recovery trends. Our results indicated that rates of spectral forest recovery vary over time and space in the Taiga and Boreal Shield ecozones. We found evidence that post-fire spectral forest recovery rates have accelerated over time in both the East and West Taiga Shield ecozones, with a consistent, positive, and significant trend measured using a Mann-Kendall test for monotonicity and Theil-Sen slope estimation. Over the analysis period (1986-2011), relative rates of spectral forest recovery increased by 18% in the Taiga Shield East and 9% in the Taiga Shield West. In contrast, spectral forest recovery rates in the Boreal Shield varied temporally, and were not consistently positive or negative. These results demonstrate that post-fire spectral recovery rates are not fixed over time and that spectral trends are dependent upon spatial location in the Canadian boreal. This retrospective baseline information on trends in spectral recovery rates highlights the value of, and continued need for detailed monitoring of vegetation regeneration in boreal forest ecosystems, particularly in the context of a changing climate.
引用
收藏
页码:32 / 45
页数:14
相关论文
共 50 条
[31]   Characterizing Post-Fire Forest Structure Recovery in the Great Xing'an Mountain Using GEDI and Time Series Landsat Data [J].
Lin, Simei ;
Zhang, Huiqing ;
Liu, Shangbo ;
Gao, Ge ;
Li, Linyuan ;
Huang, Huaguo .
REMOTE SENSING, 2023, 15 (12)
[32]   Characterizing the effects of climate change on short-term post-disturbance forest recovery in southern China from Landsat time-series observations (1988–2016) [J].
Fangyan Zhu ;
Heng Wang ;
Mingshi Li ;
Jiaojiao Diao ;
Wenjuan Shen ;
Yali Zhang ;
Hongji Wu .
Frontiers of Earth Science, 2020, 14 :816-827
[33]   Understanding post-fire vegetation recovery in southern California ecosystems with the aid of pre-fire observations from long-term monitoring [J].
Li, Xinyu ;
Kimball, Sarah ;
Ta, Priscilla ;
Schmidt, Katharina T. ;
Campbell, Diane R. .
JOURNAL OF VEGETATION SCIENCE, 2024, 35 (05)
[34]   Using Landsat time series and bi-temporal GEDI to compare spectral and structural vegetation responses after fire [J].
Huettermann, Sven ;
Jones, Simon ;
Soto-Berelov, Mariela ;
Hislop, Samuel .
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2023, 122
[35]   Characterizing the effects of climate change on short-term post-disturbance forest recovery in southern China from Landsat time-series observations (1988-2016) [J].
Zhu, Fangyan ;
Wang, Heng ;
Li, Mingshi ;
Diao, Jiaojiao ;
Shen, Wenjuan ;
Zhang, Yali ;
Wu, Hongji .
FRONTIERS OF EARTH SCIENCE, 2020, 14 (04) :816-827
[36]   Effects of post-fire wood management strategies on vegetation recovery and land surface temperature (LST) estimated from Landsat images [J].
Vlassova, Lidia ;
Perez-Cabello, Fernando .
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2016, 44 :171-183
[37]   Changes Analysis of Post-Fire Vegetation Spectrum and Index Based on Time Series GF-1 WFV Images [J].
Sun Gui-fen ;
Qin Xian-lin ;
Yin Ling-yu ;
Liu Shu-chao ;
Li Zeng-yuan ;
Chen Xiao-zhong ;
Zhong Xiang-qing .
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38 (02) :511-517
[38]   Short-term impacts of wildfire and post-fire mulching on ecosystem multifunctionality in a semi-arid pine forest [J].
Carmona-Yanez, Maria Dolores ;
Francos, Marcos ;
Miralles, Isabel ;
Soria, Rocio ;
Ahangarkolaee, Saeed Shahabi ;
Vafaie, Elahe ;
Zema, Demetrio Antonio ;
Lucas-Borja, Manuel Esteban .
FOREST ECOLOGY AND MANAGEMENT, 2023, 541
[39]   The resistance and short-term resilience of a restored extracted peatland ecosystems post-fire: an opportunistic study after a wildfire [J].
Blier-Langdeau, Ariane ;
Guene-Nanchen, Melina ;
Hugron, Sandrine ;
Rochefort, Line .
RESTORATION ECOLOGY, 2022, 30 (04)
[40]   Forest Fire Prediction Based on Long- and Short-Term Time-Series Network [J].
Lin, Xufeng ;
Li, Zhongyuan ;
Chen, Wenjing ;
Sun, Xueying ;
Gao, Demin .
FORESTS, 2023, 14 (04)