Assessing Re-Composition of Xing’an Larch in Boreal Forests after the 1987 Fire, Northeast China

Wang, Junjie; Wang, Cuizhen; Zang, Shuying

doi:10.3390/rs9050504

Cited by 10 publications

(6 citation statements)

References 18 publications

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“…Firstly, great efforts of fire prevention and management have been enforced in the Greater Hinggan Mountains since the catastrophic "Black Dragon" Fire in 1987 [34]. Through a rich set of evenly distributed lookout towers, an expanded fire monitoring network was established for field staff to detect and report wildfires in a timely manner (Mr. Huadong Wu, Vice Director, Fire Prevention Office, Tuqiang Forest Bureau, personal communication on 5 June 2015).…”

Section: Fire Regime Changesmentioning

confidence: 99%

“…In the past decades, human activities in the study area have been accelerating (e.g., logging, planting, sawmills, and wood product transportation). In the early 2000s, the "Tian Bao" Project was enforced to permanently prohibit logging activities in the Greater Hinggan Mountains for natural forest protection [34]. It is therefore necessary to integrate these human activities and consequences of policies into fire studies in order to establish a better understanding of human impacts in this unique boreal forest region.…”

Section: Limitations and Future Workmentioning

confidence: 99%

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Environmental Influences on Forest Fire Regime in the Greater Hinggan Mountains, Northeast China

Fan

Wang

Dongyou

et al. 2017

Forests

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Fires are the major disturbances in the Greater Hinggan Mountains, the only boreal forest in Northeast China. A comprehensive understanding of the fire regimes and influencing environmental parameters driving them from small to large fires is critical for effective forest fire prevention and management. Assisted with satellite imagery, topographic data, and climatic records in this region, this study examines its fire regimes in terms of ignition causes, frequencies, seasonality, and burned sizes in the period of 1980-2005. We found an upward trend for fire occurrences and burned areas and an elongated fire season over the three decades. The dates of the first fire in a year did not vary largely but those of the last fire were significantly delayed. Topographically, spring fires were prevalent throughout the entire region, while summer fires mainly occurred at higher elevations under severe drought conditions. Fall fires were mostly human-caused in areas at lower elevations with gentle terrains. An ordinal logistic regression revealed temperature and elevation were both significant factors to the fire size severity in spring and summer. Other than that, environmental impacts were different. Precipitation in the preceding year greatly influenced spring fires, while summer fires were significantly affected by wind speed, fuel moisture, and human accessibility. An important message from this study is that distinct seasonal variability and a significantly increasing number of summer and fall fires since the mid-1990s suggest a changing fire regime of the boreal forests in the study area. The observed and modeled results could provide insights on establishing a sustainable, localized forest fire prevention strategy in a seasonal manner.

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Section: Fire Regime Changesmentioning

confidence: 99%

Section: Limitations and Future Workmentioning

confidence: 99%

Environmental Influences on Forest Fire Regime in the Greater Hinggan Mountains, Northeast China

Fan

Wang

Dongyou

et al. 2017

Forests

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“…Kuzen) and the strong fire resistance of larch (L. gmelinii (Rupr.) Kuzen) (Chang et al 2007;Wang et al 2017). Therefore, the high-resolution maps of total and species-level tree density for the entire Northeast China generated in our study could reveal the tree species composition and regeneration patterns of forest regions affected by large disturbance events (Crowther et al 2015).…”

Section: Ecological Implications Of the Prediction Resultsmentioning

confidence: 81%

Combining Weibull distribution and k-nearest neighbor imputation method to predict wall-to-wall tree lists for the entire forest region of Northeast China

Wang

et al. 2022

Annals of Forest Science

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Key message We propose a coupled framework to combine the strengths of the Weibull function in modeling diameter distributions and the ability of the k-nearest neighbor (kNN) method to impute spatially continuous forest stand attributes for the prediction of wall-to-wall tree lists (lists of stems per hectare by species and diameter at breast height (DBH)) at regional scales. The tree lists of entire Northeast China’s forests predicted by the above framework reasonably reflect the species-specific tree density and diameter distributions. Context Detailed tree lists provide information about forest stocks disaggregated by species and size classes, which are crucial for forest managers to accurately characterize the current forest stand state to formulate targeted forest management strategies. However, regional tree list information is still lacking due to limited forest inventory. Aims We aimed to develop a coupled framework to enable the prediction of wall-to-wall tree lists for the entire forest region of Northeast China, then analyze the species-specific diameter distributions and reveal the spatial patterns of tree density by species. Methods A two-parameter Weibull function was used to model the species-specific diameter distributions in the sample plots, and a maximum likelihood estimation (MLE) was used to predict the parameters of the Weibull distributions. The goodness-of-fit of the predicted species-specific Weibull diameter distributions in each plot was evaluated by Kolmogorov-Smirnov (KS) test and an error index. The kNN model was used to impute the pixel-level stand mean DBH. Results Weibull distribution accurately described the species-specific diameter distributions. The imputed stand mean DBH from the kNN model showed comparable accuracy with earlier studies. No difference was detected between predicted and observed tree lists, with a small error index (0.24–0.58) of diameter distributions by species. The fitted species-specific diameter distributions generally showed a right-skewed unimodal or reverse J-shaped pattern. Conclusion Overall, the coupled framework developed in this study was well-suited for predicting the tree lists of large forested areas. Our results evidenced the spatial patterns and abundance of tree species in Northeast China and captured the forest regions affected by disturbances such as fire.

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“…The dominant tree species are Xing'an larch, white birch, and Mongolian pine (Pinus sylvestris var. mongolica) (Wang et al 2017). The region is characterised by a cold temperate continental climate under the influence of alternating monsoons.…”

Section: Study Areasmentioning

confidence: 99%

Burned vegetation recovery trajectory and its driving factors using satellite remote-sensing datasets in the Great Xing’An forest region of Inner Mongolia

Zhang

Homayouni

Zhao

et al. 2023

Int. J. Wildland Fire

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Forest fire is one of the most important factors that alter a forest ecosystem's biogeochemical cycle. Large-scale distributed burned areas lose their original vegetation structure and are more impacted by climate change in the vegetation recovery process, thus making it harder to restore their original vegetation structure. In this study, we used historical Landsat imagery and the LandTrendr algorithm in the Google Earth Engine platform to study and identify post-fire stages in the Great Xing'An Range of Inner Mongolia. Moreover, we categorized different post-fire vegetation recovery trajectories. The usefulness of spectral indices was also evaluated in the study region. We applied the Geodetector model to analyze the driving factors of the burned area vegetation regeneration process. The results show that burn severity and earth-atmosphere hydrological cycle are two main impacting factors in the short term after the fire (e.g. 5-6 years). Other climatical conditions affect vegetation recovery, including prolonged vegetation recovery process, hydrothermal circulation process and topographical conditions, seasonally frozen soil, freeze-thaw processes, and climate events. This study improves understanding of the dynamic successional processes in the burned area and the driving factors. Also, the outcomes can facilitate and support sustainable forest management of the Great Xing'An Range.

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Assessing Re-Composition of Xing’an Larch in Boreal Forests after the 1987 Fire, Northeast China

Cited by 10 publications

References 18 publications

Environmental Influences on Forest Fire Regime in the Greater Hinggan Mountains, Northeast China

Environmental Influences on Forest Fire Regime in the Greater Hinggan Mountains, Northeast China

Combining Weibull distribution and k-nearest neighbor imputation method to predict wall-to-wall tree lists for the entire forest region of Northeast China

Burned vegetation recovery trajectory and its driving factors using satellite remote-sensing datasets in the Great Xing’An forest region of Inner Mongolia

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