Using multi-source remote sensing data to classify larch plantations in Northeast China and support the development of multi-purpose silviculture

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	Using multi-source remote sensing data to classify larch plantations in Northeast China and support the development of multi-purpose silviculture
	Shang Guiduo 1; Zhu Jiaojun 1; Gao Tian 1; Zheng Xiao 1; Zhang Jinxin 1
刊名	JOURNAL OF FORESTRY RESEARCH
	2018
卷号	29 期号:4 页码:889-904
关键词	EASTERN LIAONING PROVINCE ADJACENT SECONDARY FORESTS BROADLEAVED MIXED FORESTS MONTANE REGIONS SPATIAL-DISTRIBUTION DISTRIBUTION PATTERNS ABOVEGROUND BIOMASS CHEMICAL-PROPERTIES LARIX-OLGENSIS LAND-USE Larch plantation Natural larch forest Visual interpretation Slope position Ecosystem services
ISSN号	1007-662X
其他题名	Using multi-source remote sensing data to classify larch plantations in Northeast China and support the development of multi-purpose silviculture
英文摘要	Due to increasing timber demands, large areas of secondary forests have been converted to larch plantations (LPs) in Northeast China because the secondary forests could not produce timber as much as LPs. However, there are a series of ecological problems such as lower soil fertility, reduced water-holding capacity and acidification of surface runoff water occurring in LPs because of the single-species composition of LPs. Therefore, a guidance on how to transform LPs into larch-broadleaf mixed forests (LBMFs) at a large spatial scale is needed for local foresters. First, Landsat time series data set and SPOT-5 images were combined to map the spatial-temporal distribution of LPs in Northeast China. Then, the topographical characteristics of LPs in 2010s were determined. Furthermore, three sub-regions of LPs were divided closely linking to their ecosystem services and forest management aims. Finally, detailed information on how to transform the LPs into LBMFs was given according to the three sub-regions. The results showed that the area of LPs increased during 1980s and 2010s, and reached 2.61 million ha in 2010s. Of which, 0.72 million ha (27.6%) and 1.89 million ha (72.4%) LPs distributed in slopes less than 5A degrees and greater than 5A degrees, respectively. Of the LPs (72.4%) in slopes greater than 5A degrees, 48.7 and 23.7% located in downslope (LPs locating at the down slope of adjacent secondary forests in the same aspect) and upslope (LPs locating at the up slope of adjacent secondary forests in the same aspect), respectively; 0.10 million ha (3.8%) located in slopes greater than 25A degrees. The LPs were divided into Sub-Regions-I, II, III according to slopes. For Sub-region-I (top role is to produce timber), self-fertilizing shrub species can be introduced after clean cutting for young-aged LPs, and release thinning can be applied for middle-aged LPs, fast growth thinning for near-matured LPs, and clear cutting for matured LPs. For Sub-Region-II (the priority is to provide water conservation combined with timber production), the LPs should be induced into LBMFs. The LPs located the downslope positions in Sub-Region-II can be transformed to LBMFs by natural regeneration of broadleaved tree species after thinning because of enough seed sources of broadleaved tree species from the secondary forests locating the upslope positions. The LPs located the upslope positions or the region where seed sources of broadleaved tree species are unavailable in Sub-Region-II must be induced to LBMFs by artificial regeneration. For Sub-Region-III (the preference is only for water conservation because the slope is greater than 25A degrees), the LPs should be particularly protected from intensive disturbances, and induced into LBMFs by natural regeneration.
资助项目	[National Basic Research Program of China (973 Program)]
语种	英语
CSCD记录号	CSCD:6253680
内容类型	期刊论文
源URL	[http://ir.imr.ac.cn/handle/321006/144883]
专题	金属研究所_中国科学院金属研究所
作者单位	1.中国科学院 2.中国科学院金属研究所 3.中国科学院大学
推荐引用方式 GB/T 7714	Shang Guiduo,Zhu Jiaojun,Gao Tian,et al. Using multi-source remote sensing data to classify larch plantations in Northeast China and support the development of multi-purpose silviculture[J]. JOURNAL OF FORESTRY RESEARCH,2018,29(4):889-904.
APA	Shang Guiduo,Zhu Jiaojun,Gao Tian,Zheng Xiao,&Zhang Jinxin.(2018).Using multi-source remote sensing data to classify larch plantations in Northeast China and support the development of multi-purpose silviculture.JOURNAL OF FORESTRY RESEARCH,29(4),889-904.
MLA	Shang Guiduo,et al."Using multi-source remote sensing data to classify larch plantations in Northeast China and support the development of multi-purpose silviculture".JOURNAL OF FORESTRY RESEARCH 29.4(2018):889-904.