Research on multi-objective management schedules of Larix olgensis plantations

doi:10.12302/j.issn.1000-2006.202201034

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2023, Vol. 47 ›› Issue (2): 150-158.doi: 10.12302/j.issn.1000-2006.202201034

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Research on multi-objective management schedules of Larix olgensis plantations

SONG Lei¹(), JIN Xingji¹^,^*(), PUKKALA Timo¹^,², LI Fengri¹

1. Key Laboratory of Sustainable Forest Ecosystem Management Ministry of Education, School of Forestry, Northeast Forestry University, Harbin 150040, China
2. School of Forest Sciences, University of Eastern Finland, Joensuu 111, 80101, Finland

Received:2022-01-21 Revised:2022-04-27 Online:2023-03-30 Published:2023-03-28

Abstract

Abstract:

【Objective】 At present, China’s forestry is in a critical stage of improving the quality of forest resources and transforming the development pattern. Management decisions at the stand level are of great significance for formulating forest management schedules scientifically and improving forest quality. In this study, a simulation-optimization system was used to identify the optimal management schedules for different stand conditions of larch (Larix olgensis) plantations. The results provide a theoretical foundation and silvicultural planning for multi-objective management of larch plantations.【Method】 Multi-attribute utility function and compromise analyses were applied to construct an objective function for multi-functional forestry including net present values, large log production, and forest carbon storage during the rotation, based on standard young larch plantations. Basic growth and yield models linked with the particle swarm optimization algorithm were used to the optimize forest management under different objective functions. The results were used to propose management guidelines for larch plantations.【Result】 The rotation lengths with the two multi-objective utility functions (MOF₁ and MOF₂) under different planting densities (2 500 trees per hm² and 3 300 trees per hm²) and different site indices (16-22 m) were 54-96 years; the net present value ranged from 38 047.8 to 109 194.9 yuan/hm², the mean annual large log production was 1.8-4.4 m³/hm², and the average forest carbon storage was 59.7-103.1 t/hm² during the rotation. With the increasing weight of forest carbon storage (from MOF₁ to MOF₂), large log production increased, but was achieved at the cost of the reduced net present value.【Conclusion】 The multi-objective management schedules proposed in the study can simultaneously satisfy the demand for wood production, quality, and economic profitability. At the same time, carbon storage of the forest is considered. The multi-objective utility function MOF₁ is a compromise between different management objectives. This study provides an important reference for improving the multi-functional forest management in China.

Key words: Larix olgensis plantation, multi-objective management schedules, net present value, large log production, carbon stock

CLC Number:

S757

SONG Lei, JIN Xingji, PUKKALA Timo, LI Fengri. Research on multi-objective management schedules of Larix olgensis plantations[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2023, 47(2): 150-158.

Figures/Tables 7

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References 33

[1]	陆元昌, SCHINDELE W, 刘宪钊, 等. 多功能目标下的近自然森林经营作业法研究[J]. 西南林业大学学报, 2011, 31(4):1-6,11.
	LU Y C, SCHINDELE W, LIU X Z, et al. Study on operation system towards close-to-nature forest based on multi-function purposes[J]. J Southwest For Univ, 2011, 31(4):1-6,11.DOI:10.3969/j.issn.2095-1914.2011.04.001.
[2]	沈国舫. 伐木本无过,森林可持续经营更有功[N]. 中国科学报, 2022-03-28(1).
[3]	白东雪, 刘强, 董利虎, 等. 长白落叶松人工林有效冠高的确定及其影响因子[J]. 北京林业大学学报, 2019, 41(5):76-87.
	BAI D X, LIU Q, DONG L H, et al. Determination and analysis of height to effective crown for planted Larix olgensis trees[J]. J Beijing For Univ, 2019, 41(5):76-87.DOI:10.13332/j.1000-1522.20190016.
[4]	李明阳, 申世广, 吴翼, 等. 南京紫金山风景林多情境规划方法研究[J]. 南京林业大学学报(自然科学版), 2007, 31(5):29-33.
	LI M Y, SHEN S G, WU Y, et al. A study on scenario planning of scenic forest in Zijinshan Mountain of Nanjing[J]. J Nanjing For Univ (Nat Sci Ed), 2007, 31(5):29-33.DOI:10.3969/j.issn.1000-2006.2007.05.007.
[5]	DAVIS L S, JOHNSON K N, BETTINGER P, et al. Forest management: to sustain ecological, economic, and social values[M]. Illinois: Waveland, 2005: 804p.
[6]	PASALODOS-TATO M, PUKKALA T, ROJO ALBORECA A. Optimal management of Pinus pinaster in Galicia (Spain) under risk of fire[J]. Int J Wildland Fire, 2010, 19(7):937-948.DOI:10.1071/WF08150.
[7]	PUKKALA T. Optimizing continuous cover management of boreal forest when timber prices and tree growth are stochastic[J]. For Ecosyst, 2015, 2(1):6.DOI:10.1186/s40663-015-0028-5.
[8]	PALAHÍ M, PUKKALA T. Optimising the management of Scots pine (Pinus sylvestris L.) stands in Spain based on individual-tree models[J]. Ann For Sci, 2003, 60(2):105-114.DOI:10.1051/forest:2003002.
[9]	JIN X J, PUKKALA T, LI F R, et al. Optimal management of Korean pine plantations in multifunctional forestry[J]. J For Res, 2017, 28(5):1027-1037.DOI:10.1007/s11676-017-0397-4.
[10]	PENG W, PUKKALA T, JIN X J, et al. Optimal management of larch (Larix olgensis A.Henry) plantations in Northeast China when timber production and carbon stock are considered[J]. Ann For Sci, 2018, 75(2):1-15.DOI:10.1007/s13595-018-0739-1.
[11]	SELKIMÄKI M, GONZÁLEZ-OLABARRIA J R, TRASOBARES A, et al. Trade-offs between economic profitability,erosion risk mitigation and biodiversity in the management of uneven-aged Abies alba Mill. stands[J]. Ann For Sci, 2020, 77(1):12.DOI:10.1007/s13595-019-0914-z.
[12]	PUKKALA T. Population-Based methods in the optimization of stand management[J]. Silva Fenn, 2009, 43(2):261-274.DOI:10.14214/sf.211.
[13]	PUKKALA T, LÄHDE E, LAIHO O. Optimizing the structure and management of uneven-sized stands of Finland[J]. Forestry, 2010, 83(2):129-142.DOI:10.1093/forestry/cpp037.
[14]	李建军, 张会儒, 刘帅, 等. 基于改进PSO的洞庭湖水源涵养林空间优化模型[J]. 生态学报, 2013, 33(13):4031-4040.
	LI J J, ZHANG H R, LIU S, et al. A space optimization model of water resource conservation forest in Dongting Lake based on improved PSO[J]. Acta Ecol Sin, 2013, 33(13):4031-4040.DOI:10.5846/stxb201207281072.
[15]	JIN X J, PUKKALA T, LI F R. Meta optimization of stand management with population-based methods[J]. Can J For Res, 2018, 48(6):697-708.DOI:10.1139/cjfr-2017-0404.
[16]	BAILEY R L, DELL T R. Quantifying diameter distributions with the weibull function[J]. For Sci, 1973, 19(2):97-104.DOI:10.1093/forestscience/19.2.97.
[17]	DONG L H, PUKKALA T, LI F R, et al. Developing distance-dependent growth models from irregularly measured sample plot data:a case for Larix olgensis in northeast China[J]. For Ecol Manag, 2021, 486:118965.DOI:10.1016/j.foreco.2021.118965.
[18]	董利虎, 李凤日, 金星姬. 长白落叶松生长模型系统[M]. 北京: 中国林业出版社, 2021:107-134.
	DONG L H, LI F R, JIN X J. Growth model system of Larix olgensis[M]. Beijing: China Forestry Publishing House, 2021:107-134.
[19]	高慧淋, 董利虎, 李凤日. 基于分位数回归的长白落叶松人工林最大密度线[J]. 应用生态学报, 2016, 27(11):3420-3426.
	GAO H L, DONG L H, LI F R. Maximum density-size line for Larix olgensis plantations based on quantile regression[J]. Chin J Appl Ecol, 2016, 27(11):3420-3426.DOI:10.13287/j.1001-9332.201611.026.
[20]	聂璐毅, 董利虎, 李凤日, 等. 基于两水平非线性混合效应模型的长白落叶松削度方程构建[J]. 南京林业大学学报(自然科学版), 2022, 46(3):194-202.
	NIE L Y, DONG L H, LI F R, et al. Construction of taper equation for Larix olgensis based on two-level nonlinear mixed effects model[J]. J Nanjing For Univ (Nat Sci Ed), 2022, 46(3):194-202.DOI:10.12302/j.issn.1000-2006.202108050.
[21]	国家林业局. 森林采伐作业规程:LY/T 1646—2005[S]. 北京: 中国标准出版社, 2005.
	State Forestry Administration of the People’s Republic of China. Code of forest harvesting:LY/T 1646—2005[S]. Beijing: Standards Press of China, 2005.
[22]	张会儒, 雷相东, 李凤日. 中国森林经理学研究进展与展望[J]. 林业科学, 2020, 56(9):130-142.
	ZHANG H R, LEI X D, LI F R. Research progress and prospects of forest management science in China[J]. Sci Silvae Sin, 2020, 56(9):130-142.DOI:10.11707/j.1001-7488.20200915.
[23]	董灵波, 孙云霞, 刘兆刚. 基于碳和木材目标的森林空间经营规划研究[J]. 北京林业大学学报, 2017, 39(1):52-61.
	DONG L B, SUN Y X, LIU Z G. Integrating carbon and timber objective into forest spatial planning management[J]. J Beijing For Univ, 2017, 39(1):52-61.DOI:10.13332/j.1000-1522.20160166.
[24]	戎建涛, 雷相东, 张会儒, 等. 兼顾碳贮量和木材生产目标的森林经营规划研究[J]. 西北林学院学报, 2012, 27(2):155-162.
	RONG J T, LEI X D, ZHANG H R, et al. Forest management planning incorporating values of timber and carbon[J]. J Northwest For Univ, 2012, 27(2):155-162.DOI:10.3969/j.issn.1001-7461.2012.02.32.
[25]	BACKÉUS S, WIKSTRÖM P, LÄMÅS T. A model for regional analysis of carbon sequestration and timber production[J]. For Ecol Manag, 2005, 216(1-3):28-40.DOI:10.1016/j.foreco.2005.05.059.
[26]	PUKKALA T. Optimal crosscutting:any effect on optimal stand management?[J]. Eur J Forest Res, 2017, 136(4):583-595.DOI:10.1007/s10342-017-1057-0.
[27]	董灵波, 蔺雪莹, 刘兆刚. 大兴安岭盘古林场森林碳汇木材复合经营规划[J]. 北京林业大学学报, 2020, 42(8):1-11.
	DONG L B, LIN X Y, LIU Z G. Forest carbon sink-timber compound management planning of Pan’gu Forest Farm in Great Xing’an Mountains of northeastern China[J]. J Beijing For Univ, 2020, 42(8):1-11.DOI:10.12171/j.1000-1522.20190331.
[28]	GONZÁLEZ-OLABARRIA J R, GARCIA-GONZALO J, MOLA-YUDEGO B, et al. Adaptive management rules for Pinus nigra Arnold ssp. salzmannii stands under risk of fire[J]. Ann For Sci, 2017, 74(3):52.DOI:10.1007/s13595-017-0649-7.
[29]	PASALODOS-TATO M, MÄKINEN A, GARCIA-GONZALO J, et al. Assessing uncertainty and risk in forest planning and decision support systems:review of classical methods and introduction of new approaches[J]. Forest Syst, 2013, 22(2):282-303.DOI:10.5424/fs/2013222-03063.
[30]	PUKKALA T, KANGAS J. A method for integrating risk and attitude toward risk into forest planning[J]. For Sci, 1996, 42(2):198-205.DOI:10.1093/forestscience/42.2.198.
[31]	COUTURE S, REYNAUD A. Multi-stand forest management under a climatic risk:do time and risk preferences matter?[J]. Environ Model Assess, 2008, 13(2):181-193.DOI:10.1007/s10666-007-9121-7.
[32]	ZHOU M, LIANG J J, BUONGIORNO J. Adaptive versus fixed policies for economic or ecological objectives in forest management[J]. For Ecol Manag, 2008, 254(2):178-187.DOI:10.1016/j.foreco.2007.07.035.
[33]	MIINA J, HEINONEN J. Stochastic simulation of forest regeneration establishment using a multilevel multivariate model[J]. For Sci, 2008, 54(2):206-219.DOI:10.1093/forestscience/54.2.206.

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统计项目 statistic item	林分年龄/a stand age	林分平均胸径/cm stand DBH	林分优势高/m stand dominant height	林分密度/ (株·hm^-2) stand density	林分断面积/ (m²·hm^-2) stand basal area	Weibull参数 Weibull function
统计项目 statistic item	林分年龄/a stand age	林分平均胸径/cm stand DBH	林分优势高/m stand dominant height	林分密度/ (株·hm^-2) stand density	林分断面积/ (m²·hm^-2) stand basal area	b	c
最小值 min	7	5.6	7.0	267	0.75	5.86	1.97
最大值 max	67	28.2	33.2	4 483	48.08	33.47	10.65
平均值 mean	26	13.7	17.8	1 556	17.78	16.17	4.62
标准差 SD	14	5.1	5.4	890	6.01	6.00	1.31

地位指数/m site index	林分优势高/m stand dominant height	各林分平均胸径/cmstand DBH
地位指数/m site index	林分优势高/m stand dominant height	3 300株/hm²	2 500株/hm²
16	5.2	4.9	5.2
18	6.3	5.4	5.7
20	7.3	6.0	6.3
22	8.5	6.6	6.9

规格材 assortment	小头去皮直径/cm minimum top diameter under bark	最短长度/m minimum piece length	立木价格/ (元·m^-3) stumpage price
大径材 large log	26	4	850
中径材 medium log	18	4	700
小径材 small log	12	4	580

地位指数/m site index	林分密度/ (株·hm^-2) density	目标方程 objective function	优化结果optimization result
地位指数/m site index	林分密度/ (株·hm^-2) density	目标方程 objective function	R	LP	LLP	NPV	CS	U
16		OF₁	59	8.5	1.7	58 903.2	57.4	—
	2 500	MOF₁	61	8.7	1.8	58 882.1	59.7	0.292 1
		MOF₂	75	9.0	2.7	49 033.3	81.8	0.318 7
		OF₁	52	8.8	0.7	67 387.3	50.0	—
	3 300	MOF₁	66	8.2	2.0	51 494.3	62.1	0.264 4
		MOF₂	96	9.1	4.2	38 047.8	103.1	0.346 3
18		OF₁	58	9.5	2.0	74 232.0	61.3	—
	2 500	MOF₁	59	9.6	2.1	73 364.0	63.5	0.335 7
		MOF₂	72	9.8	3.4	59 433.4	81.9	0.363 9
		OF₁	48	9.7	0.9	81 423.1	47.5	—
	3 300	MOF₁	63	9.5	2.2	68 873.5	70.8	0.323 9
		MOF₂	82	10.2	4.4	58 452.1	92.4	0.395 2
20		OF₁	57	11.0	2.9	85 058.2	68.7	—
	2 500	MOF₁	58	11.1	3.0	83 145.3	71.8	0.404 2
		MOF₂	69	11.0	4.0	72 361.9	84.9	0.418 0
		OF₁	47	11.2	1.2	98 033.1	48.1	—
	3 300	MOF₁	58	12.0	2.5	93 153.0	72.0	0.426 2
		MOF₂	70	11.8	3.7	79 912.4	84.6	0.435 5
22		OF₁	56	12.1	2.9	109 271.1	65.6	—
	2 500	MOF₁	56	12.2	3.0	105 683.3	71.0	0.474 3
		MOF₂	60	12.3	3.6	96 090.1	77.1	0.471 1
		OF₁	45	12.7	2.0	116 220.5	57.0	—
	3 300	MOF₁	54	13.4	2.4	109 194.9	70.2	0.479 5
		MOF₂	60	13.1	3.0	103 016.5	76.2	0.478 2

Research on multi-objective management schedules of Larix olgensis plantations

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造林密度/ (株·hm^-2) planting density	间伐处理 thinning treatment	地位指数/m site index	林龄/a stand age			保留株数/ (株·hm^-2) the number of remaining trees			蓄积强度/% thinning intensity of volume
造林密度/ (株·hm^-2) planting density	间伐处理 thinning treatment	地位指数/m site index	OF₁	MOF₁	MOF₂	OF₁	MOF₁	MOF₂	OF₁	MOF₁	MOF₂
2 500	第1次间伐 the first thinning	16	23	23	21	1 010	1 030	1 560	≤18	≤18	≤17
		18	21	22	20	970	970	1 520	≤18	≤18	≤16
		20	20	22	20	900	930	1 450	≤16	≤16	≤17
		22	19	21	20	880	880	1 400	≤18	≤16	≤14
	第2次间伐 the second thinning	16	36	34	38	630	620	1 050	≤18	≤18	≤18
		18	34	33	38	620	610	980	≤17	≤17	≤17
		20	32	33	38	610	610	960	≤18	≤18	≤18
		22	30	32	33	590	600	950	≤18	≤18	≤19
	主伐 final cutting	16	59	61	75	—	—	—	—	—	—
		18	58	59	72	—	—	—	—	—	—
		20	57	58	69	—	—	—	—	—	—
		22	56	56	60	—	—	—	—	—	—
3 300	第1次间伐 the first thinning	16	24	21	21	1 220	1 360	1 960	≤15	≤17	≤18
		18	23	20	18	1 200	1 330	1 880	≤15	≤14	≤18
		20	22	20	18	1 190	1 200	1 880	≤16	≤13	≤16
		22	19	16	16	1 170	1 160	1 750	≤16	≤13	≤12
	第2次间伐 the second thinning	16	30	30	36	850	950	1 340	≤16	≤16	≤19
		18	29	29	36	820	920	1 270	≤18	≤15	≤19
		20	28	27	35	800	830	1 190	≤18	≤14	≤18
		22	27	26	31	790	810	1 080	≤15	≤14	≤18
	第3次间伐 the third thinning	16	40	47	59	580	660	830	≤18	≤14	≤18
		18	37	45	59	570	640	830	≤17	≤15	≤18
		20	35	43	48	560	580	820	≤17	≤13	≤18
		22	33	39	45	550	560	740	≤19	≤12	≤14
	主伐 final cutting	16	52	66	96	—	—	—	—	—	—
		18	48	63	82	—	—	—	—	—	—
		20	47	58	70	—	—	—	—	—	—
		22	45	54	60	—	—	—	—	—	—

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