Predicting the responses of boreal forests to climate-fire-vegetation interactions in Northeast China

Huang, Chao; Feng, Jiayuan; Tang, Fangran; He, Hong S.; Liang, Yu; Wu, Mia M.; Xu, Wentao; Liu, Bo; Chen, Fusheng

doi:10.1016/j.envsoft.2022.105410

Cited by 8 publications

(3 citation statements)

References 85 publications

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“…We interpolated the climate indices to a 5 km spatial resolution, matching the spatial resolution of the GOSIF data, using the R package Machisplin (https://github.com/ jasonleebrown/machisplin, accessed on 1 January 2024). The Machisplin method combines the advantages of spatial interpolation and machine learning algorithms and can incorporate topographical data such as elevation as covariates for simulating predictions [60]. This approach minimizes the influence of topographical and other factors on climate data interpolation.…”

Section: Sdii Daily Precipitation Intensitymentioning

confidence: 99%

Time Lag and Cumulative Effects of Extreme Climate on Coastal Vegetation in China

Dong,

Liu,

et al. 2024

Remote Sensing

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Rapid global changes are altering regional hydrothermal conditions, especially in ecologically vulnerable areas such as coastal regions, subsequently influencing the dynamics of vegetation growth. However, there is limited research investigating the response of vegetation in these regions to extreme climates and the associated time lag-accumulation relationships. This study utilized a combined approach of gradual and abrupt analysis to examine the spatiotemporal patterns of vegetation dynamics in the coastal provinces of China from 2000 to 2019. Additionally, we evaluated the time lag-accumulation response of vegetation to extreme climate events. The results showed that (1) extreme high temperatures and extreme precipitation had increased over the past two decades, with greater warming observed in high latitudes and concentrated precipitation increases in water-rich southern regions; (2) both gradual and abrupt analyses indicate significant vegetation improvement in coastal provinces; (3) significant lag-accumulation relationships were observed between vegetation and extreme climate in the coastal regions of China, and the time-accumulation effects were stronger than the time lag effects. The accumulation time of extreme temperatures was typically less than one month, and the accumulation time of extreme precipitation was 2–3 months. These findings are important for predicting the growth trend of coastal vegetation, understanding environmental changes, and anticipating ecosystem evolution.

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Section: Sdii Daily Precipitation Intensitymentioning

confidence: 99%

Time Lag and Cumulative Effects of Extreme Climate on Coastal Vegetation in China

Dong,

Liu,

et al. 2024

Remote Sensing

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“…Previous studies have found that climate warming would alter the fire status of forests by changing fire source patterns and occurrence probabilities in the boreal forests of Northeast China (Liu et al, 2012). In order to solve this problem, deciduous tree species may be planted properly to reduce the burn area (Huang et al, 2022). Furthermore, using long-term remote sensing monitoring system to improve a fast and effective early warning strategy in the high-frequency period of drought (Pu et al, 2019).…”

Section: Prospects and Limitationmentioning

confidence: 99%

Response of vegetation dynamic change to multi-scale drought stress in the high-latitude Nenjiang River basin in China

Zhu

Zhao²,

Tong³

et al. 2022

Front. Ecol. Evol.

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Vegetation is an integral part of terrestrial ecosystem and plays an important role in responding to climate change, with its dynamic characteristics reflecting the ecological environmental quality. Recently, the continually increasing frequency and intensity of droughts has greatly changed how vegetation growth and development respond to drought. In this study, using normalized difference vegetation index and standardized precipitation evapotranspiration index (SPEI), we studied the response characteristics of vegetation dynamics to multi-scale drought stress (SPEI-1, SPEI-3, and SPEI-12) in the Nenjiang River basin (NRB) via Pearson correlation analysis, along with further exploration of the vegetation stability under drought. The results showed that the same period effect of drought on vegetation growth in NRB mainly occurs during the early and middle stages of vegetation growth. Furthermore, the proportion of significant positive correlation between them is 15.3%–43.3%, mainly in the central and southern parts of the basin. The lagged period effect of drought on vegetation growth mainly occurred during autumn in the southeast and middle of the basin, with a significant positive correlation of 20.8%. Under drought stress, the forest vegetation stability in NRB was the highest, with the resilience of wetland and grassland vegetation being the best and worst, respectively. Our study results will not only deepen our understanding of the dynamic vegetation changes in the high-latitude semi-arid basin under global climate change, but also provide a scientific basis for the management and water resources allocation of “agriculture-wetland-forest” complex ecosystem in the future.

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“…Fires, in the boreal forest of Alaska specifically, significantly affect forest compositions and vegetation structure due to the dominant presence of conifer and deciduous land cover types [13][14][15]. After a fire, the conifer canopy is replaced by grass, shrub/scrub, and deciduous forest [16]. This change in the dominant vegetation type is usually established in the first few years following the fire [17].…”

Section: Introductionmentioning

confidence: 99%

Impact of Wildfires on Land Surface Cold Season Climate in the Northern High-Latitudes: A Study on Changes in Vegetation, Snow Dynamics, Albedo, and Radiative Forcing

Linares,

Ni-Meister

2024

Remote Sensing

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Anthropogenic climate change is increasing the occurrence of wildfires, especially in northern high latitudes, leading to a shift in land surface climate. This study aims to determine the predominant climatic effects of fires in boreal forests to assess their impact on vegetation composition, surface albedo, and snow dynamics. The influence of fire-induced changes on Earth’s radiative forcing is investigated, while considering variations in burn severity and postfire vegetation structure. Six burn sites are explored in central Alaska’s boreal region, alongside six control sites, by utilizing Moderate Resolution Imaging Spectroradiometer (MODIS)-derived albedo, Leaf Area Index (LAI), snowmelt timing data, AmeriFlux radiation, National Land Cover Database (NLCD) land cover, and Monitoring Trends in Burn Severity (MTBS) data. Key findings reveal significant postfire shifts in land cover at each site, mainly from high- to low-stature vegetation. A continuous increase in postfire surface albedo and negative surface shortwave forcing was noted even after 12 years postfire, particularly during the spring and at high-severity burn areas. Results indicate that the cooling effect from increased albedo during the snow season may surpass the warming effects of earlier snowmelt. The overall climate impact of fires depends on burn severity and vegetation composition.

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Predicting the responses of boreal forests to climate-fire-vegetation interactions in Northeast China

Cited by 8 publications

References 85 publications

Time Lag and Cumulative Effects of Extreme Climate on Coastal Vegetation in China

Time Lag and Cumulative Effects of Extreme Climate on Coastal Vegetation in China

Response of vegetation dynamic change to multi-scale drought stress in the high-latitude Nenjiang River basin in China

Impact of Wildfires on Land Surface Cold Season Climate in the Northern High-Latitudes: A Study on Changes in Vegetation, Snow Dynamics, Albedo, and Radiative Forcing

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