Modeling the long-term impacts of harvest and artificial regeneration on forest area and aboveground biomass in Red Soil Hilly Region: A case study in Moshao forest farm of Huitong county

Er-fu DAI; Xiao-fan WANG; Jian-jia ZHU; Xiao-li WANG

doi:10.31497/zrzyxb.20201214

Journals >Journal of Natural Resources >Volume 35 >Issue 12 >Page 2995 > Article

Journal of Natural Resources
Vol. 35, Issue 12, 2995 (2020)

Modeling the long-term impacts of harvest and artificial regeneration on forest area and aboveground biomass in Red Soil Hilly Region: A case study in Moshao forest farm of Huitong county

Er-fu DAI^1、2, Xiao-fan WANG^3、*, Jian-jia ZHU⁴, and Xiao-li WANG⁵

Author Affiliations

¹Lhasa Plateau Ecosystem Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China

²University of Chinese Academy of Sciences, Beijing 100049, China

³China Land Surveying and Planning Institute, Key Laboratory of Land Use, Ministry of Natural Resources, Beijing 100035, China

⁴College of Horticulture Science and Technology, Hebei Normal University of Science & Technology, Qinhuangdao 066004, Hebei, China

⁵National Marine Data and Information Service Center, Tianjin 300171, China

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DOI: 10.31497/zrzyxb.20201214 Cite this Article

Er-fu DAI, Xiao-fan WANG, Jian-jia ZHU, Xiao-li WANG. Modeling the long-term impacts of harvest and artificial regeneration on forest area and aboveground biomass in Red Soil Hilly Region: A case study in Moshao forest farm of Huitong county[J]. Journal of Natural Resources, 2020, 35(12): 2995 Copy Citation Text

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Fig. 1. Spatial distribution of forest types in Moshao forest farm

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Fig. 2. Dynamic changes of areas of three forest types under forest management scenarios

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Fig. 3. Areas of three forest types under forest management scenarios

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Fig. 4. Dynamic changes of forest AGB under forest management scenarios

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Fig. 5. The dynamic changes of forest AGB under forest management scenarios

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树种	寿命/年	结实年龄/年	耐荫性	耐火性	种子有效传播距离/m	萌条率
杉木 Cunninghamia lanceolata	200	10	3	1	50	0.35
马尾松 Pinus massoniana	200	10	3	2	200	0
火力楠 Michelia macclurei	300	10	3	2	200	0
红栲 Castanopsis fargesii	300	20	4	4	20	0.35
木荷 Schima superba	500	30	4	4	20	0.4
湿地松 Pinuselliottii	300	30	4	4	40	0.6
刨花润楠 Machilus pauhoi	200	30	4	4	30	0.6
伯乐 Bretschneidera sinensis	200	30	4	3	20	0.5
青冈 Cyclobalanopsis glauca	200	7	4	3	10	0.4
樟树 Cinnamomum camphora	300	15	3	3	20	0.35
白栎 Quercus fabri	300	15	3	3	10	0.35
刺楸 Kalopanax septemlobus	300	20	3	4	20	0.4
枫香 Liquidambar formosana	200	8	3	3	100	0.5
笔罗子 Meliosma rigida	300	8	4	3	20	0.5

Table 1. Life history parameters of main species of Moshao forest farm

模式	天然林采伐			人工林采伐			人工更新（Y/N）
模式	比例/%	斑块/hm²	年龄/年	比例/%	斑块/hm²	年龄/年	人工更新（Y/N）
NH	——			——			N
LH	5	0.01	杉木31	10	0.01	杉木21	N
LH+AR	5	0.01	马尾松36	10	0.01	马尾松31	Y
MH	5	0.01	湿地松31	20	0.05	湿地松21	N
MH+AR	5	0.01	速阔21	20	0.05	速阔14	Y
HH	5	0.01	中阔36	30	0.1	中阔26	N
HH+AR	5	0.01	慢阔51	30	0.1	慢阔41	Y

Table 2. Forest management scenarios simulated in LANDIS-II

森林类型	观测样地	AGB模拟结果	AGB实测结果
人工针叶林	杉木林	142.17	176.82
人工阔叶林	木荷—伯乐林	116.15	112.64
天然次生阔叶林	红栲—青冈—刨花润楠林	267.11	284.78

Table 3. Comparison between simulated and measured values of AGB (t∙hm^-2)

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