Lai J.-M.,Sichuan Agricultural University |
Li K.-Z.,Sichuan Forestry Inventory and Planning Institute |
Huang C.-D.,Sichuan Agricultural University |
Zhang J.,Sichuan Agricultural University |
Yang W.-Q.,Sichuan Agricultural University
Forest Research | Year: 2013
Forest management plays an important role in soil carbon sequestration and global climate change mitigation. Soils were collected to determine the total organic carbon (SOC) and labile organic carbon under the low-efficiency Pinus massoniana forest (CK) and the improved forests, including clear cut and reforestation (QKCZ), closing for afforestation (FSYL), and replanting and mixed plantation (BZHJ). The results showed that SOC, microbial biomass carbon (MBC), dissolved organic carbon (DOC) and easily oxidizable carbon (EOC) significantly increased by 1.06~3.3 g·kg-1, 16.81~142.29 mg·kg-1, 12.83~43.71 mg·kg-1 and 0.16~0.54 g· kg-1 under the improved forests (including QKCZ, FSYL and BZHJ) respectively as compared with the CK. The MBC/SOC ranked as FSYL > CK > QKCZ > BZHJ, the EOC/SOC ranked as CK > BZHJ > FSYL > QKCZ, and DOC/SOC ranked as BZHJ > CK > FSYL > QKCZ. The results suggest that QKCZ is the best measure for low-efficiency Pinus massoniana forest improvement to increase carbon stability and sequestration in soil. Therefore, selecting suitable measure for low-efficiency Pinus massoniana forest improvement is an important measure to enhance soil carbon sequestration.
Zhao A.-J.,Sichuan Agricultural University |
Yang C.-Q.,Sichuan Forestry Inventory and Planning Institute |
Liao C.-Y.,Sichuan Forestry Inventory and Planning Institute
Chinese Journal of Applied Ecology | Year: 2014
Optical remote sensing is still one of the most attractive choices for obtaining leaf area index (LAI) information, but currently may be derived from remotely sensed data with limited accuracy. Effective leaf area index (LAIe) of montane evergreen broad-leaved forest in southwest Sichuan was inventoried and assessed in 83 sample field plots of 20 m×20 m using different types of image processing techniques, including simple spectral band, simple spectral band ratios and principal component. Texture information was extracted by gray level co-occurrence matrices (GLCM) from different types of processing image. The results showed that there were correlations of different degrees between LAIe and texture parameters, and highly significant correlations were observed between LAIe with the homogeneity of the B1 band, B1 /B4 band ratio or principal component PC1. Using texture information of remotely sensed data as auxiliary variables, we developed geostatistics models. Compared with the model based on NDVI auxiliary variable, the accuracy of LAIe were im- proved, presenting an increase by 5.3% with the homogeneity of the B1 band, 11.0% with the homogeneity B1/B4 band ratio, and 14.5% with the homogeneity principal component PC1, and the statistical errors were also reduced to some extent. The optimal LAIe model of spatial geostatistics was obtained when taking NDVI and homogeneity principal component PC1 as auxiliary variables (R2 =0.840, RMSE =0.212). Our results provided a new way to estimate regional spatial distribution of LAI using other auxiliary variables besides the vegetation index. ©, 2014, Editorial Board of Chinese Journal of Applied Ecology. All right reserved.
Huang G.-H.,Hunan Agricultural University |
Su Z.-Y.,Sichuan Forestry Inventory and Planning Institute |
Stuning D.,Zoological Research Museum Alexander Koenig
ZooKeys | Year: 2016
All seven members of the genus Orthobrachia Warren, 1895 are recorded, with description of a new species from Sichuan Province, China and N. Thailand, including O. latifasciata (Moore, 1888) and O. flavidior (Hampson, 1898) from northern India, Nepal and China, O. tenebrosa Yazaki, 1992 from Nepal and India, O. owadai Yazaki, 1992 from India, O. simpliciata Yazaki, 2002 from China, and O. maoershanensis Huang, Xin & Wang, 2003 from South China. A key to the Orthobrachia species is provided, along with a distributional map of all nominal species. The type specimens of the new species are deposited in Hunan Agricultural University (China), South China Agricultural University (China) and Zoological Research Museum Alexander Koenig (Germany). © Guo-Hua Huang et al.
Qiu S.,University of Chinese Academy of Sciences |
Xu M.,Rutgers University |
Zheng Y.,University of Chinese Academy of Sciences |
Zheng Y.,Hebei University of Engineering |
And 6 more authors.
Natural Hazards | Year: 2015
The Wenchuan earthquake caused tremendous damages to forests, which could increase tree mortality, disrupt forest carbon cycling, and pose serious challenge to sustainable forest management. In this study, we analyzed data from 871 permanent forest plots from the Sichuan forest inventory (SFI) system to quantify the impacts of 2008 Wenchuan earthquake on tree mortality and forest biomass carbon. Our results showed that the 5-year tree mortality had significantly increased from 2.26 to 3.52 % in the region with seismic intensity of ≥VII (VII and above), and even more dramatically in the hardest hit zone with seismic intensity of X and XI, which showed an increase from 3.77 to 8.96 %. It is estimated that the Wenchuan earthquake had killed as much as 34.5 million trees and mobilized a dead carbon pool of 1050 Gg C (7.87 Mg C/km2/a) in the region with seismic intensity of ≥VII. Our results suggested that the earthquake was the main cause of this risen tree mortality and the loss of huge amount of forest biomass carbon. This study demonstrated that tree mortality derived from forest plots can be used to estimate disaster-induced forest carbon loss for the purpose of hazard assessment. © 2015, Springer Science+Business Media Dordrecht.
Qiu S.,CAS Beijing Institute of Geographic Sciences and Nature Resources Research |
Qiu S.,University of Chinese Academy of Sciences |
Xu M.,Rutgers University |
Li R.,CAS Beijing Institute of Geographic Sciences and Nature Resources Research |
And 8 more authors.
Annals of Forest Science | Year: 2015
• Key message: Climate variables improve individual-tree mortality models for fir, oak and birch.• Context: Climate is considered as an important driver of tree mortality, but few studies have included climate factors in models to explore their importance for modelling individual-tree mortality.• Aims: To measure the performance of climate-based models, we built individual-tree mortality models using individual, stand, and climate variables for fir (Abies faxoniana Rehd. et Wils.), oak (Quercus aquifolioides Rehd. et Wils.), and birch (Betula albo-sinensis Burk.) in Southwest China, and explored the corresponding effects on tree death.• Methods: We developed tree mortality models based on 287 permanent plots from the Sichuan Forest Inventory data, and compared the models based on variables of individual (I), stand (S), and climate (C) levels, and different combinations (I + S, I + C, S + C, I + S + C) among these groups to improve model performance. We employed relative Akaike information criterion (AIC), area under receiver operating characteristic curve (AUC), and Hosmer-Lemeshow’s goodness-of-fit statistic for model evaluation and validation.• Results: We found that tree mortalities of the three species could be better predicted (AUC > 0.8) by carefully selecting variables at three ecological scales (individual, stand, and regional climate). Our results suggest that the higher mortality of the object trees occurs when they endure lower radial growth of the previous years, more intensive competition, and moderate canopy cover (for birch), while lower mortality was seen in an appropriate range of climate conditions and at higher stand canopy cover (for fir and oak).• Conclusion: The results have significance for incorporating the effects of a changing climate into mortality models. © 2015, INRA and Springer-Verlag France.
PubMed | Sichuan Forestry Inventory and Planning Institute, Zoological Research Museum Alexander Koenig and Hunan Agricultural University
Type: | Journal: ZooKeys | Year: 2016
All seven members of the genus Orthobrachia Warren, 1895 are recorded, with description of a new species from Sichuan Province, China and N. Thailand, including Orthobrachia latifasciata (Moore, 1888) and Orthobrachia flavidior (Hampson, 1898) from northern India, Nepal and China, Orthobrachia tenebrosa Yazaki, 1992 from Nepal and India, Orthobrachia owadai Yazaki, 1992 from India, Orthobrachia simpliciata Yazaki, 2002 from China, and Orthobrachia maoershanensis Huang, Xin & Wang, 2003 from South China. A key to the Orthobrachia species is provided, along with a distributional map of all nominal species. The type specimens of the new species are deposited in Hunan Agricultural University (China), South China Agricultural University (China) and Zoological Research Museum Alexander Koenig (Germany).
Huang S.,Changjiang River Scientific Research Institute |
Ding X.,Changjiang River Scientific Research Institute |
Zhang Y.,Changjiang River Scientific Research Institute |
Cheng W.,Sichuan Forestry Inventory and Planning Institute
Advances in Materials Science and Engineering | Year: 2015
Rock-soil aggregate, as a specific geomaterial, exhibits complicated mechanical behavior. The rock-soil aggregate sampled from the deep layer of sliding mass at Jinpingzi area of Wudongde hydropower plant on Yangtze River is investigated to understand its mechanical behavior. Large-scale laboratory triaxial tests are conducted considering different gradations, stone contents and confining pressures. The results show that variation of stone content and gradation considerably affects the mechanical characteristics of rock-soil aggregate. Further, the influences of stone content, and gradation variation on stress-strain curve, Mohr-Coulomb criterion based shear strength parameters, Duncan-Chang model based deformation parameters, and internal friction angle are analyzed. A modified Rowe's stress-dilatancy equation describing the mechanical response of rock-soil aggregate is then suggested. © 2015 Shuling Huang et al.