Effects of canopy composition on snow depth and below-the-snow temperature regimes in the temperate secondary forest ecosystem, Northeast China

2022 ◽  
Vol 313 ◽  
pp. 108744
Author(s):  
Xiaowen Ge ◽  
Jiaojun Zhu ◽  
Deliang Lu ◽  
Danni Wu ◽  
Fengyuan Yu ◽  
...  
Keyword(s):  
Forest Ecosystem ◽  
Snow Depth ◽  
Northeast China ◽  
Secondary Forest ◽  
Temperature Regimes ◽  
Canopy Composition ◽  
Snow Temperature

Utilisation of wild growing yams as supplementary nutrition and its impact on the dry forest ecosystem in north-western Madagascar

2004 ◽  
Vol 155 (3-4) ◽  
pp. 80-88 ◽  
Author(s):  
Klaus Ackermann
Keyword(s):  
Forest Ecosystem ◽  
Rainy Season ◽  
Secondary Forest ◽  
Local Population ◽  
Dry Forest ◽  
Dry Forests ◽  
Supplementary Food ◽  
Wild Yams ◽  
Supplementary Nutrition ◽  
North Western

Wild growing yams (Dioscorea spp.) are an important supplementary food in Madagascar, especially during periods of rice shortage in the rainy season. Yams grow in dry forests and there is a particularly high occurrence of yam tubers in recently burned, open secondary forest formations. The study found that the uncontrolled harvest of yams can contribute to the degradation of dry forests due to the high quantity of wild yams harvested by the local population and the widespread practice of intentionally burning forests to increase yams production.

scholarly journals Effects of Winter Snow Cover on Spring Soil Moisture Based on Remote Sensing Data Product over Farmland in Northeast China

2020 ◽  
Vol 12 (17) ◽  
pp. 2716
Author(s):  
Shuang Liang ◽  
Xiaofeng Li ◽  
Xingming Zheng ◽  
Tao Jiang ◽  
Xiaojie Li ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Soil Moisture ◽  
Linear Regression ◽  
Snow Cover ◽  
Snow Depth ◽  
Northeast China ◽  
Regression Models ◽  
Linear Regression Models ◽  
Winter Snow ◽  
The Relationship

Spring soil moisture (SM) is of great importance for monitoring agricultural drought and waterlogging in farmland areas. While winter snow cover has an important impact on spring SM, relatively little research has examined the correlation between winter snow cover and spring SM in great detail. To understand the effects of snow cover on SM over farmland, the relationship between winter snow cover parameters (maximum snow depth (MSD) and average snow depth (ASD)) and spring SM in Northeast China was examined based on 30 year passive microwave snow depth (SD) and SM remote-sensing products. Linear regression models based on winter snow cover were established to predict spring SM. Moreover, 4 year SD and SM data were applied to validate the performance of the linear regression models. Additionally, the effects of meteorological factors on spring SM also were analyzed using multiparameter linear regression models. Finally, as a specific application, the best-performing model was used to predict the probability of spring drought and waterlogging in farmland in Northeast China. Our results illustrated the positive effects of winter snow cover on spring SM. The average correlation coefficient (R) of winter snow cover and spring SM was above 0.5 (significant at a 95% confidence level) over farmland. The performance of the relationship between snow cover and SM in April was better than that in May. Compared to the multiparameter linear regression models in terms of fitting coefficient, MSD can be used as an important snow parameter to predict spring drought and waterlogging probability in April. Specifically, if the relative SM threshold is 50% when spring drought occurs in April, the prediction probability of the linear regression model concerning snow cover and spring SM can reach 74%. This study improved our understanding of the effects of winter snow cover on spring SM and will be beneficial for further studies on the prediction of spring drought.

scholarly journals Dynamics of gaps and large openings in a secondary forest of Northeast China over 50 years

2019 ◽  
Vol 76 (3) ◽  
Author(s):  
Chunyu Zhu ◽  
Jiaojun Zhu ◽  
G. Geoff Wang ◽  
Xiao Zheng ◽  
Deliang Lu ◽  
...  
Keyword(s):  
Northeast China ◽  
Secondary Forest

Response of species and stand types to snow/wind damage in a temperate secondary forest, Northeast China

2017 ◽  
Vol 29 (2) ◽  
pp. 395-404 ◽  
Author(s):  
Xiufen Li ◽  
Lei Jin ◽  
Jiaojun Zhu ◽  
Limin Liu ◽  
Jinxin Zhang ◽  
...  
Keyword(s):  
Northeast China ◽  
Secondary Forest ◽  
Wind Damage

scholarly journals The role of snow and ice thickness on river ice process in Songhua River basin, Northeast China

2019 ◽  
Author(s):  
Qian Yang ◽  
Kaishan Song ◽  
Xiaohua Hao ◽  
Zhidan Wen ◽  
Yue Tan ◽  
...  
Keyword(s):  
River Basin ◽  
Air Temperature ◽  
Snow Depth ◽  
Northeast China ◽  
River Ice ◽  
Ice Thickness ◽  
Songhua River ◽  
Songhua River Basin ◽  
Ice Phenology

Abstract. Songhua River basin is a sensitive area to global warming in Northeast China that could be indicated by changes in lake and river ice development. The regional role and trends of ice characteristics of this area have been scarcely investigated, which are critical for aquatic ecosystem, climate variability, and human activities. Based on the ice record of hydrological stations, we examined the spatial variations of the ice phenology and ice thickness in Songhua River basin in Northeast China from 2010 to 2015 and explored the role of ice thickness, snow during ice-on and ice-off process. All five river ice phenology including freeze-up start, freeze-up end, break-up start, break-up end and complete frozen duration showed latitudinal distribution and a changing direction from southeast to northwest, and five typically geographic zones were identified based on rotated empirical orthogonal function. Maximum ice thickness had a higher correlation with five parameters than that of average snow depth and air temperature on bank. A linear regression function was established between ice thickness and snow depth on ice and indicated ice thickness was closely associated with snow depth on ice. The air temperature had higher correlation with ice phenology and influenced the lake ice phenology significantly, and snow cover did not show significant correlation with the ice phenology. However, snow cover correlated with ice thickness significantly and positively during the periods when the freshwater is completely frozen.

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