Northeastern China is one of the regions that would be mostly affected by the changing climates, and created the particular climate pattern and characteristics under climate changes. The pattern and characteristics of climate changes in Northeastern China was analyzed with the methods of the linear regression method, cumulative anomaly method, Mann鄄 Kendall test method and Morlet wavelets analysis method based on daily average air temperature and daily precipitation data observed at 96 meteorological stations covered the Northeastern China from 1961 to 2005. The linear regression method was used to study the variation trends of mean temperature and precipitation on annual鄄scale and seasonal鄄scale in recent 45 years. The cumulative anomaly method and Mann鄄Kendall test method were used to test trends and abrupt changes of annual mean temperature and precipitation. The Morlet wavelet analysis method was used to detect the change interval of annual mean temperature and precipitation. The linear trend rates for annual and seasonal mean temperature and annual and
Fire disturbance is one of the key processes affecting forest succession in boreal forest ecosystems. Variations in disturbance characteristics have an important effect on ecosystem properties and processes. Due to the diversity of topography, fuel heterogeneity and micro鄄climatic conditions during a fire, the intensity of fires is quite variable, producing landscapes in different mosaic patterns. Although the resulting heterogeneity of fire characteristics (e. g. , burn severity) has been widely recognized as an important driver of boreal forest regeneration, its effects on early post鄄fire tree recruitment has not been thoroughly studied in boreal forests of the Great Xing忆an Mountains. Early post鄄fire tree recruitment can reflect future forest structures and succession pathways. A clear understanding of the controls and mechanisms of post鄄fire tree recruitment is therefore necessary for us to predict future forest dynamics, devise reasonable forest management practices,
Forest biomass is the largest carbon pool among terrestrial ecosystems, which plays an important role in mitigating global climate change through sequestrating carbon dioxide and increasing forested area and biomass. However, the disturbances such as climate change, timber harvesting and fire would affect forest biomass, therefore recently, an increasing attention rises on research of a wide range of disturbances that alter forest biomass and species composition. The forested area of China undergone intensive over鄄logging until 1998, to recover the forest structure and biomass from the past over鄄logged state, the government implemented forestry classified management. To reveal the effects of the forest management strategy, especially the timber harvesting on the forest and species biomass, the forest and main tree species biomass were simulated by LANDIS 7. 0 PRO in the Xiao Xing忆 an Mountains in northeastern China, which is one of the three largest forested areas in China and the ecotone between temperate and boreal forest. LANDIS 7. 0 PRO is the latest version of LANDIS (a spatially explicit model of forest landscape disturbance, management, and succession) , which could simulate the dynamics of forest biomass at landscape scale. The study area covers 1. 476 伊10 5 hm 2 of forested landscape,
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