长白落叶松人工林多目标经营模式研究

宋磊; 金星姬; PUKKALA Timo; 李凤日

doi:10.12302/j.issn.1000-2006.202201034

长白落叶松人工林多目标经营模式研究

宋磊, 金星姬, PUKKALA Timo, 李凤日

南京林业大学学报（自然科学版） ›› 2023, Vol. 47 ›› Issue (2) : 150-158.

PDF(1895 KB)

国家林草科技领军期刊
中国精品科技期刊
中国高校百佳科技期刊
江苏省新闻出版政府奖期刊奖
RCCSE林学权威期刊（A+）
CSCD核心期刊
Scopus数据库收录期刊
中文核心期刊
SCD核心期刊

作者加群：102861116

微信公众号：南京林业大学学报

高级检索

PDF(1895 KB)

南京林业大学学报（自然科学版） ›› 2023, Vol. 47 ›› Issue (2) : 150-158. DOI: 10.12302/j.issn.1000-2006.202201034

研究论文

长白落叶松人工林多目标经营模式研究

宋磊 ¹ ,
金星姬 ¹^,^* ,
PUKKALA Timo ¹^,² ,
李凤日 ¹

作者信息 +

Research on multi-objective management schedules of Larix olgensis plantations

SONG Lei ¹ ,
JIN Xingji ¹^,^* ,
PUKKALA Timo ¹^,² ,
LI Fengri ¹

Author information +

文章历史 +

摘要

【目的】我国林业目前处于提高森林资源质量和转变发展方式的关键阶段,林分水平的经营决策对科学制订森林经营规程、提高森林质量具有重要意义。利用模拟-优化系统,探究不同林分条件下的最佳经营模式,可为提高黄花落叶松(Larix olgensis)(俗名长白落叶松)人工林多目标经营水平提供理论基础和实施方案。【方法】以标准长白落叶松人工幼龄林为研究对象,利用多属性效用函数和妥协性分析构建包括净现值、大径材产量和林木碳储量的多目标经营模型,链接林分生长模型与粒子群优化算法,优化不同经营方程并提出经营模式。【结果】在不同造林密度(2 500和3 300株/hm²)及不同地位指数(16~22 m)下两种多目标方程(MOF₁和MOF₂)估算的林分主伐年龄为54~96 a,净现值为38 047.8~109 194.9 元/hm²,大径材年均产量为1.8~4.4 m³/(hm²·a),轮伐期内年均林木碳储量为59.7~103.1 t/(hm²·a)。随着林木碳储量权重的增加(从MOF₁到MOF₂),大径材产量提高,但净现值降低。【结论】本研究提出的多目标经营模式可以满足对木材产量、质量和经济效益的需求,同时兼顾了森林碳储量,其中多目标经营方程MOF₁是权衡各目标效益的折中方案,研究结论对提升我国森林多功能经营管理水平具有重要借鉴意义。

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.

导出引用

宋磊, 金星姬, PUKKALA Timo, 等. 长白落叶松人工林多目标经营模式研究[J]. 南京林业大学学报（自然科学版）. 2023, 47(2): 150-158 https://doi.org/10.12302/j.issn.1000-2006.202201034

SONG Lei, JIN Xingji, PUKKALA Timo, et al. Research on multi-objective management schedules of Larix olgensis plantations[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2023, 47(2): 150-158 https://doi.org/10.12302/j.issn.1000-2006.202201034

中图分类号： S757

参考文献

列表( 原文顺序 | 文献年度倒序 | 文中引用次数倒序 ) 可视化分析

[1]

陆元昌, SCHINDELE

, 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.

Y C

, SCHINDELE

, 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.

本文引用 [1]

[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). 本文引用 [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. 本文引用 [1]

[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. 本文引用 [1]

[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. 本文引用 [1]

[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. 本文引用 [2]

[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. 本文引用 [3]

[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. 本文引用 [1]

[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. 本文引用 [2]

[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. 本文引用 [2]

[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. 本文引用 [1]

[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. 本文引用 [1]

[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. 本文引用 [1]

[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. 本文引用 [2]

[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. 本文引用 [1]

[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. 本文引用 [1]

[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. 本文引用 [1]

[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. 本文引用 [1]

[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. 本文引用 [1]

[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.

本文引用 [1]

[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. 本文引用 [2]

[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. 本文引用 [1]

[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. 本文引用 [1]

[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. 本文引用 [1]

[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. 本文引用 [1]

[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. 本文引用 [1]

[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.

本文引用 [1]

[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. 本文引用 [1]

[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. 本文引用 [1]

[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. 本文引用 [1]

[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. 本文引用 [1]

[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. 本文引用 [1]

[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. 本文引用 [1]