EVALUATION OF ECOREGION-BASED VOLUME EQUATIONS FOR SCOTS PINE (PINUS SYLVESTRIX) IN THE EASTERN DAXING’AN MOUNTAINS, NORTHEAST CHINA

Stem taper functions are valuable tools for the study of stem profile and predict volume estimates. Such functions have long been analyzed for different birch species in the world. However, Asian white birch (Betula platyphylla Suk.) has not yet been investigated as an individual species in China or abroad. This study presents stem taper and volume equations for B. platyphylla in Northeast China. Eight commonly used taper functions were fit to the data of 615 destructively sampled trees from two regions of Northeast China. A second-order continuous autoregressive error structure was incorporated to address the autocorrelation in the data and to achieve the valid parameter estimation. The condition number was used to detect the multicollinearity in the models. The taper functions were compared in terms of overall evaluation statistics and by examining the box plots of diameter and volume residuals against relative heights and diameter classes. The equations of A. Kozak (2004, For. Chron. 80(4): 507–515; model 2), Z. Fang et al. (2000, For. Sci. 46(1): 1–12), and H. Bi (2000, For. Sci. 46(3): 397–409) were the leading models for diameter and volume estimates. Overall, the equation of Z. Fang et al. (2000, For. Sci. 46(1): 1–12) exhibited the best results for estimating diameter and total and merchantable volumes in terms of statistical performance and lower multicollinearity.

Download Full-text

Stem taper functions for Betula platyphylla in the Daxing’an Mountains, northeast China

Journal of Forestry Research ◽

10.1007/s11676-020-01152-4 ◽

2020 ◽

Author(s):

Muhammad Khurram Shahzad ◽

Amna Hussain ◽

Harold E. Burkhart ◽

Fengri Li ◽

Lichun Jiang

Keyword(s):

Northeast China ◽

Betula Platyphylla ◽

Stem Taper ◽

Daxing’An Mountains

Download Full-text

Structure and species diversity of boreal forests in Mt. Baikalu, Huzhong area, Daxing'an Mountains, Northeast China

Biodiversity Science ◽

10.17520/biods.2004022 ◽

2004 ◽

Vol 12 (1) ◽

pp. 182-189

Author(s):

GU Tao ◽

Shuqing Zhao ◽

PIAO Shi-Long ◽

ZONG Zhan-Jiang ◽

WU Xiao-Pu ◽

...

Keyword(s):

Species Diversity ◽

Boreal Forests ◽

Northeast China ◽

Daxing’An Mountains

Download Full-text

Soil nitrogen mineralization characteristics of the natural coniferous forest in Northern Daxing'an Mountains, Northeast China

Acta Ecologica Sinica ◽

10.5846/stxb201804120845 ◽

2019 ◽

Vol 39 (8) ◽

Author(s):

肖瑞晗 XIAO Ruihan ◽

满秀玲 MAN Xiuling ◽

丁令智 DING Lingzhi

Keyword(s):

Nitrogen Mineralization ◽

Soil Nitrogen ◽

Northeast China ◽

Coniferous Forest ◽

Soil Nitrogen Mineralization ◽

Daxing’An Mountains

Download Full-text

Emissions of CO2, CH4, and N2O Fluxes from Forest Soil in Permafrost Region of Daxing’an Mountains, Northeast China

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16162999 ◽

2019 ◽

Vol 16 (16) ◽

pp. 2999 ◽

Cited By ~ 2

Author(s):

Xiangwen Wu ◽

Shuying Zang ◽

Dalong Ma ◽

Jianhua Ren ◽

Qiang Chen ◽

...

Keyword(s):

Global Warming ◽

Greenhouse Gas Emissions ◽

Greenhouse Gas ◽

Forest Soil ◽

Northeast China ◽

Permafrost Region ◽

Gas Emissions ◽

Soil Ecosystems ◽

Daxing’An Mountains ◽

Ch4 And N2o

With global warming, the large amount of greenhouse gas emissions released by permafrost degradation is important in the global carbon and nitrogen cycle. To study the feedback effect of greenhouse gases on climate change in permafrost regions, emissions of CO2, CH4, and N2O were continuously measured by using the static chamber-gas chromatograph method, in three forest soil ecosystems (Larix gmelinii, Pinus sylvestris var. mongolica, and Betula platyphylla) of the Daxing’an Mountains, northeast China, from May 2016 to April 2018. Their dynamic characteristics, as well as the key environmental affecting factors, were also analyzed. The results showed that the flux variation ranges of CO2, CH4, and N2O were 7.92 ± 1.30~650.93 ± 28.12 mg·m−2·h−1, −57.71 ± 4.65~32.51 ± 13.03 ug·m−2·h−1, and −3.87 ± 1.35~31.1 ± 2.92 ug·m−2·h−1, respectively. The three greenhouse gas fluxes showed significant seasonal variations, and differences in soil CO2 and CH4 fluxes between different forest types were significant. The calculation fluxes indicated that the permafrost soil of the Daxing’an Mountains may be a potential source of CO2 and N2O, and a sink of CH4. Each greenhouse gas was controlled using different key environmental factors. Based on the analysis of Q10 values and global warming potential, the obtained results demonstrated that greenhouse gas emissions from forest soil ecosystems in the permafrost region of the Daxing’an Mountains, northeast China, promote the global greenhouse effect.

Download Full-text

Seasonal variations in temperature sensitivity of soil respiration in a larch forest in the Northern Daxing’an Mountains in Northeast China

Journal of Forestry Research ◽

10.1007/s11676-021-01346-4 ◽

2021 ◽

Author(s):

Lin Yang ◽

Qiuliang Zhang ◽

Zhongtao Ma ◽

Huijun Jin ◽

Xiaoli Chang ◽

...

Keyword(s):

Soil Respiration ◽

Soil Carbon ◽

Respiration Rate ◽

Temperature Sensitivity ◽

Northeast China ◽

Surface Soil ◽

Soil Surface ◽

Growing Season ◽

Soil Temperatures ◽

Daxing’An Mountains

AbstractTemperature sensitivity of respiration of forest soils is important for its responses to climate warming and for the accurate assessment of soil carbon budget. The sensitivity of temperature (Ti) to soil respiration rate (Rs), and Q10 defined by e10(lnRs−lna)/Ti has been used extensively for indicating the sensitivity of soil respiration. The soil respiration under a larch (Larix gmelinii) forest in the northern Daxing’an Mountains, Northeast China was observed in situ from April to September, 2019 using the dynamic chamber method. Air temperatures (Tair), soil surface temperatures (T0cm), soil temperatures at depths of 5 and 10 cm (T5cm and T10cm, respectively), and soil-surface water vapor concentrations were monitored at the same time. The results show a significant monthly variability in soil respiration rate in the growing season (April–September). The Q10 at the surface and at depths of 5 and 10 cm was estimated at 5.6, 6.3, and 7.2, respectively. The Q10@10 cm over the period of surface soil thawing (Q10@10 cm, thaw = 36.89) were significantly higher than that of the growing season (Q10@10 cm, growth = 3.82). Furthermore, the Rs in the early stage of near-surface soil thawing and in the middle of the growing season is more sensitive to changes in soil temperatures. Soil temperature is thus the dominant factor for season variations in soil respiration, but rainfall is the main controller for short-term fluctuations in respiration. Thus, the higher sensitivity of soil respiration to temperature (Q10) is found in the middle part of the growing season. The monthly and seasonal Q10 values better reflect the responsiveness of soil respiration to changes in hydrometeorology and ground freeze-thaw processes. This study may help assess the stability of the soil carbon pool and strength of carbon fluxes in the larch forested permafrost regions in the northern Daxing’an Mountains.

Download Full-text

Compatible taper function for Scots pine plantations in northwestern Spain

Canadian Journal of Forest Research ◽

10.1139/x06-008 ◽

2006 ◽

Vol 36 (5) ◽

pp. 1190-1205 ◽

Cited By ~ 55

Author(s):

Ulises Diéguez-Aranda ◽

Fernando Castedo-Dorado ◽

Juan Gabriel Álvarez-González ◽

Alberto Rojo

Keyword(s):

Scots Pine ◽

Model Development ◽

Individual Tree ◽

Stand Volume ◽

Taper Function ◽

Northwestern Spain ◽

Volume Equation ◽

Taper Equation ◽

Volume Equations

A compatible system for estimation of individual tree volume was developed for Scots pine (Pinus sylvestris L.) in northwestern Spain. The system comprises a merchantable volume equation, a total volume equation, and a taper function. The use of the volume equation allows rapid estimation of tree volume, and stand volume by summing individual tree volumes, which is equal to the volume obtained by integrating the taper equation. The volume equation is very easy to use and is therefore preferred when classification of the products by merchantable sizes is not required. Data from 228 destructively sampled trees were used for model development. Fourteen compatible volume equations were evaluated, 13 of these equations were taken from the available literature, and the other was developed in the present study. A modified second-order continuous autoregressive error structure was used to correct the autocorrelation of the hierarchical data used. The model developed by Fang et al. (Z. Fang, B.E. Borders, and R.L. Bailey. 2000. For. Sci. 46: 112) best described the data. There model is therefore recommended for the estimation of diameter at a specific height, merchantable volume, and total volume of Scots pine stems in the area of study.

Download Full-text

Response of <i>Pinus sylvestris</i> var. <i>mongolica</i> to water change and the reconstruction of drought history for the past 260 years in northeast China

10.5194/cp-2018-31 ◽

2018 ◽

Author(s):

Liangjun Zhu ◽

Qichao Yao ◽

David J. Cooper ◽

Shijie Han ◽

Xiaochun Wang

Keyword(s):

Pinus Sylvestris ◽

Northeast China ◽

Fire History ◽

Ring Width ◽

Transition Zones ◽

The Past ◽

Temperature And Precipitation ◽

Daxing’An Mountains ◽

Surrounding Areas ◽

Moisture Increase

Abstract. We present a 260-year annual PDSI reconstruction based on a regional tree-ring width chronology of Scots pine (Pinus sylvestris var. mongolica) from four sample sites in the Daxing’an Mountains, northeast China. The model explained 38.2 % of the variance of annual PDSI during the calibration period from 1911 to 2010. Compared with local historical documents, nearby forest fire history data and hydroclimate reconstructions, our reconstruction is accurate and representative, and recorded the same dry years/periods. The drought of 1920s–1930s was more severe in the Daxing’an Mountains than in surrounding areas. A moisture increase caused by a recent rapid warming (warm-wet pattern) was identified for the Daxing’an Mountains, while a warm-dry pattern was found for the East Mongolian Plateaus (mild drier) and their transition zones: the east Mongolian Plateaus (severe drier). Overall, the dry/wet variability of the Daxing’an Mountains and its relationship with the surrounding areas might be driven by Pacific and Atlantic Ocean oscillations (e.g., ENSO, PDO, AMO, NAO and SNAO) that influence the Asian monsoon, and in turn the local temperature and precipitation that influences regional drought. However, the Monsoon Asia Drought Atlas of "Cook" might inaccurately portray dry/wet variations in the Daxing’an Mountains.

Download Full-text