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Machine learning-based estimates of aboveground biomass of subalpine forests using Landsat 8 OLI and Sentinel-2B images in the Jiuzhaigou National Nature Reserve,Eastern Tibet Plateau 被引量:2
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作者 Ke Luo Yufeng Wei +8 位作者 Jie Du Liang Liu Xinrui Luo Yuehong Shi Xiangjun Pei Ningfei Lei Ci Song Jingji Li Xiaolu Tang 《Journal of Forestry Research》 SCIE CAS CSCD 2022年第4期1329-1340,共12页
Accurate estimates of forest aboveground biomass(AGB)are critical for supporting strategies of ecosystem conservation and climate change mitigation.The Jiuzhaigou National Nature Reserve,located in Eastern Tibet Plate... Accurate estimates of forest aboveground biomass(AGB)are critical for supporting strategies of ecosystem conservation and climate change mitigation.The Jiuzhaigou National Nature Reserve,located in Eastern Tibet Plateau,has rich forest resources on steep slopes and is very sensitive to climate change but plays an important role in the regulation of regional carbon cycles.However,an estimation of AGB of subalpine forests in the Nature Reserve has not been carried out and whether a global biomass model is available has not been determined.To provide this information,Landsat 8 OLI and Sentinel-2B data were combined to estimate subalpine forest AGB using linear regression,and two machine learning approaches–random forest and extreme gradient boosting,with 54 inventory plots.Regardless of forest type,Observed AGB of the Reserve varied from 61.7 to 475.1 Mg hawith an average of 180.6 Mg ha.Results indicate that integrating the Landsat 8 OLI and Sentinel-2B imagery significantly improved model efficiency regardless of modelling approaches.The results highlight a potential way to improve the prediction of forest AGB in mountainous regions.Modelled AGB indicated a strong spatial variability.However,the modelled biomass varied greatly with global biomass products,indicating that global biomass products should be evaluated in regional AGB estimates and more field observations are required,particularly for areas with complex terrain to improve model accuracy. 展开更多
关键词 Aboveground biomass Linear regression Random forest Extreme gradient boosting Landsat 8 OLI Sentinel-2B
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A Study on Eco-Tourism and Sustainable Development of Economic Underdevelopment Areas—An Example from Kanas Nature Reserve, Xingjiang Province, Northwest China
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作者 Jianxiong Qin Pei Zhang +1 位作者 Guiping Deng Lu Chen 《Smart Grid and Renewable Energy》 2014年第7期170-179,共10页
Based on the assessment of eco-tourism resource and its location advantage, the paper has discussed the principle, projects, and facilities of eco-tourism, in the Kanas Nature Reserve in Xinjiang as well as the direct... Based on the assessment of eco-tourism resource and its location advantage, the paper has discussed the principle, projects, and facilities of eco-tourism, in the Kanas Nature Reserve in Xinjiang as well as the direction of related industries. To solve the problems occurred at present in the Kanas Nature Reserve, strategic counter measures of sustainable development of eco-tourism have also been put forward, including: 1) The establishment of eco-tourism planning legislative system of eco-tourism;2) The establishment of environmental protection planning system of eco-tourism;3) The establishment of environmental audit system of eco-tourism;4) The establishment environmental legislation and law enforcement system of eco-tourism;5) The establishment ethic education and management system of eco-tourism. 展开更多
关键词 Resources Characteristics ECO-TOURISM Sustainable Development ECONOMIC UNDERDEVELOPED Areas
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Degree of Humification in Fresh Litter from a Subtropical Mixed Plantation Forest in Southwest China
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作者 Fujia Wu Chengming You +4 位作者 Jie Du Xiangjun Pei Ningfei Lei Bo Tan Huixing Song 《Phyton-International Journal of Experimental Botany》 SCIE 2021年第2期635-650,共16页
The humification degree of fresh litter directly controls the accumulation of soil humus derived from plant litter,but very little information on this process is available.Planted forests are well known to restrict so... The humification degree of fresh litter directly controls the accumulation of soil humus derived from plant litter,but very little information on this process is available.Planted forests are well known to restrict soil fertility,which is often indicated by the soil humus level.In this study,fresh litter was collected during different plant phenological stages during 2016 and 2017 in a mixed plantation in Southwest China.The values of hue coefficientΔlogK(absorbance ratio of 400 nm and 600 nm on a logarithmic scale),optical density E4/E6(absorbance ratio of 400 nm and 600 nm)and A600/C(absorbance at 600 mm per mg of carbon per ml of extraction)and the concentration of extractable humus carbon(HC)were determined in four litter components(foliar,twigs,reproductive organs and miscellaneous)of the dominant species(Pterocarya stenoptera,Quercus acutissima,Cunninghamia lanceolata and Toxicodendron vernicifluum).All of the litter components exhibited obvious humification characteristics,and showed the highest concentration of extractable HC during the leaf maturation period.The miscellaneous and foliar litters showed greater humification than the other litter types.The components of Pterocarya stenoptera litter exhibited greater degrees of humification than those of the other species,with lowerΔlogK and E4/E6 values and higher A600/C values.The litter from coniferous and evergreen species showed lower humification than that from broad-leaf and deciduous species regardless of the litter component examined.The present results provide new insights into the management of plantations and theoretical data to accurately improve the quality of plantations and maintain soil fertility under a global change. 展开更多
关键词 Fresh litter HUMIFICATION plantations extractable humus carbon
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