Sprouting response of an evergreen broad‐leaved forest to a 2008 winter storm in <scp>N</scp>anling <scp>M</scp>ountains, southern <scp>C</scp>hina

Wang, Xu; Huang, Shineng; Li, Jiaxiang; Zhou, Guangzhu; Shi, Ling

doi:10.1002/ecs2.1395

Cited by 9 publications

(6 citation statements)

References 35 publications

(42 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In January and February 2008, most areas in southern China suffered extensively from an extreme ice and snow storm event (Chen & Sun, ; Li, ; Shao, Huang, Liu, Kuang, & Li, ; Stone, ; Zhou et al, ). Forests experienced widespread physical destruction including decapitation of trees, bending, uprooting and stem and branch breakage/splitting, due to persistent freezing rain, snow and subsequent salvage logging (Sun, Gu, Dickinson, & Zhou, ; Wang, ; Zhang et al, 2011). The ice and snow storm damaged 20.86 million hectares of forests and plantations (National Climate Center, ), which is equivalent to 10% of China's total forest cover (Sun et al, ).…”

Section: Introductionmentioning

confidence: 99%

Stormflow threshold behaviour in a subtropical mountainous headwater catchment during forest recovery period

Wei

Qiu

Zhou

et al. 2020

Hydrological Processes

Self Cite

View full text Add to dashboard Cite

Forest ecohydrological feedbacks complicate the threshold behaviour of stormflow response to precipitation or wetting conditions on a long-term scale (e.g. several years). In this study, the threshold behaviours in an evergreen-deciduous mixed forested headwater catchment in southern China were examined during 2009-2015, when damaged vegetation was recovering after the great 2008 Chinese ice and snowstorm. The non-uniqueness of the thresholds and the slow and rapid responses of stormflow at the outlet of the catchment in different hydro-climate datasets with different maximum values of gross precipitation (P) and sums of precipitation and antecedent soil moisture index (P + ASI) were assessed. The thresholds of P and P + ASI required to trigger stormflows (i.e. 'generation thresholds') and the transition from slow to rapid responses of stormflow (i.e. 'rise thresholds') were compared both seasonally and annually. The results indicated significant differences in the analysed datasets, highlighting the need to compare thresholds with care to avoid misinterpretation. Seasonal variations in threshold behaviours in the catchment suggested that vegetation canopy interception contributed to higher rise thresholds, and wetter conditions resulted in higher runoff sensitivity to precipitation during the growing and rainy seasons. Furthermore, the generation thresholds were higher in the dormant season, possibly due to drier soil moisture conditions in the near-channel areas. During the vegetation recovery period, the annual generation thresholds increased, however the rise thresholds did not exhibit a similar trend. The rapid stormflow response above the threshold decreased, possibly due to transpiration and interception of the recovered vegetation. However, the slow stormflow response to small rainfall events below the thresholds was higher in wetter years but lower in drier years, suggesting that the total water input dominated the stormflow response during small rainfall events. In conclusion, the seasonal and annual variations in threshold behaviours highlight that vegetation recovery and hydro-climatic conditions had a notable impact on the stormflow response. K E Y W O R D S2008 Chinese ice and snowstorm, stormflow threshold, vegetation recovery, ecohydrological feedback, rainfall-runoff processes, post-disturbance stormflow, Nanling Mountain

show abstract

Section: Introductionmentioning

confidence: 99%

Stormflow threshold behaviour in a subtropical mountainous headwater catchment during forest recovery period

Wei

Qiu

Zhou

et al. 2020

Hydrological Processes

Self Cite

View full text Add to dashboard Cite

show abstract

“…Mechanical damage of branches and stems under the weight of the snow and ice was the main type of damage in this disaster. Most of the trees were not dead after the disaster [12]; they could restore by sprouting [13,14]. In sub-tropical regions, the restoration was very fast [11,15].…”

Section: Introductionmentioning

confidence: 99%

Aboveground Biomass Allometric Models for Evergreen Broad-Leaved Forest Damaged by a Serious Ice Storm in Southern China

Halin

Zhou

et al. 2020

Forests

Self Cite

View full text Add to dashboard Cite

A catastrophic ice storm occurred in the spring of 2008, which severely destroyed nearly 13% of China’s forests; among them, the broad-leaved forest suffered the most extensive damage. In this study, allometric models of the evergreen broad-leaved forests damaged at different recovery stages after the disaster were established to estimate the aboveground biomass of damaged trees. Plant plots were established and surveyed in damaged forests to determine species composition and diameter distribution, and finally a sample scheme was formulated that contained 47 trees from 13 species. The destructive measurements of aboveground biomass of trees selected according to the scheme were conducted in 2008, 2010, 2012 and 2016, respectively. Undamaged trees in the same region were also selected to measure the biomass in 2010. Linear regression of logarithmic transformation of the power function form was performed using Diameter at Breast Height (DBH) as predictor to develop biomass allometric models. The results showed that the ice storm caused tree aboveground biomass loss, which caused different parameters of the tree biomass models at different recovery stages. The models have a high accuracy in predicting trunk and total aboveground biomass, with high determination coefficients (R2, 0.913~0.984, mean 0.957), and have a relatively low accuracy in predicting the biomass of branches and leaves (R2, 0.703~0.892, mean 0.784). The aboveground biomass reduced by 35.0% on average due to the ice storm, and recovered to the same level of undamaged trees in the same diameter 8 years after the disturbance. The branches and leaves recovered very fast, and the biomass of these parts exceeded that of the undamaged trees, reaching the same diameter 2 years after the disaster, indicating an over compensatory growth. The trees with a smaller diameter were mostly composed of middle and late succession species, and recovered faster than other species, indicating that the ice storm may alter the forest structure and accelerate community succession. The biomass allometric models built in this study, combined with forest inventory data, can estimate forest biomass loss and recovery after disturbance, and offer an important sense of the assessment of forest damage and the formulation of forest post-disaster management strategies.

show abstract

“…Sample-plot configurations have included transects [21], as well as square [6,8] or circular plots [22,23]. These contain a variety of forest species and complex terrain [17,24]. For example, Ge et al [17] took advantage of the pre-and post-ice storm surveys of a permanent plot in the Shennongjia region to make an assessment of the recovery from the 2008 ice storm based on forest dynamics.…”

Section: Introductionmentioning

confidence: 99%

“…For example, Ge et al [17] took advantage of the pre-and post-ice storm surveys of a permanent plot in the Shennongjia region to make an assessment of the recovery from the 2008 ice storm based on forest dynamics. Wang et al [24] established four plots in the Shierdushui Nature Reserve, to examine the degree of damage to dominant species and the measured diameters at breast height (DBHs), as well as to examine the sprout response (indicated by the number of sprouts per stem) of the evergreen broad-leaved forest to the severe winter storm.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Ice Storm Impact on and Post-Disaster Recovery of Typical Subtropical Forests in Southeast China

Yao

et al. 2020

Remote Sensing

View full text Add to dashboard Cite

Ice storms greatly affect the structure, dynamics, and functioning of forest ecosystems. Studies on the impact of such disasters, as well as the post-disaster recovery of forests, are important contents in forest biology, ecology, and geography. Remote-sensing technology provides data and methods that can support the study of disasters at the large-to-medium scale and over long time periods. This study took Chebaling National Nature Reserve in Guangdong Province, China, as the study area. First, field-survey data and remote-sensing data were comprehensively analyzed to demonstrate the feasibility of replacing the forest stock volume with the mean annual value of the Enhanced Vegetation Index (EVI), to study forest growth and change. We then used the EVI from 2007 to 2017, together with a variety of other remote-sensing and forest sub-compartment data, to analyze the impact of the 2008 ice storm and the subsequent post-disaster recovery of the forest. Finally, we drew the following conclusions: (1) Topography had a considerable effect on disaster impact and forest recovery in Chebaling. The forest at high altitudes (700–1000 m) and on steep slopes (25–40°) was seriously affected by this disaster but had a stronger post-disaster recovery ability. Meanwhile, the hardest-hit area for coniferous forest was higher and steeper than that for broad-leaved forest. (2) In the same terrain conditions, coniferous forests were less affected by the disaster than broad-leaved forests and showed less variation during the post-disaster recovery process. Nevertheless, broad-leaved forests had faster recovery rates and higher recovery degrees; (3) Under the influence of human activities, the recovery and fluctuation degree for planted forest in the post-disaster recovery process was significantly higher than that for natural forest. The study suggests that forest has high disaster resistance and self-recovery ability after the ice storm, and this ability has a strong correlation with the type of forest and the topographic factors such as elevation and slope. At the same time, human intervention can speed up the recovery of forests after disasters.

show abstract

Sprouting response of an evergreen broad‐leaved forest to a 2008 winter storm in Nanling Mountains, southern China

Cited by 9 publications

References 35 publications

Stormflow threshold behaviour in a subtropical mountainous headwater catchment during forest recovery period

Stormflow threshold behaviour in a subtropical mountainous headwater catchment during forest recovery period

Aboveground Biomass Allometric Models for Evergreen Broad-Leaved Forest Damaged by a Serious Ice Storm in Southern China

Analysis of Ice Storm Impact on and Post-Disaster Recovery of Typical Subtropical Forests in Southeast China

Contact Info

Product

Resources

About