[1]申小娟,杜 盛.甘肃省5种典型人工林健康状况[J].水土保持研究,2023,30(03):295-300.[doi:10.13869/j.cnki.rswc.2023.03.020]
　SHEN Xiaojuan,DU Sheng.Health Assessment of Five Typical Plantation Forests in Gansu Province[J].Research of Soil and Water Conservation,2023,30(03):295-300.[doi:10.13869/j.cnki.rswc.2023.03.020]
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甘肃省5种典型人工林健康状况

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 30 期数: 2023年03期 页码: 295-300 栏目: 出版日期: 2023-04-10
Title:
Health Assessment of Five Typical Plantation Forests in Gansu Province
文章编号:
1005-3409(2023)03-0295-06
作者:
申小娟1,2, 杜 盛2,3
(1.西北农林科技大学 林学院, 陕西 杨凌 712100; 2.西北农林科技大学 黄土高原土壤侵蚀与旱地农业国家重点实验室, 陕西 杨凌 712100; 3.中国科学院 水利部 水土保持研究所, 陕西 杨凌 712100)
Author(s):
SHEN Xiaojuan1,2, DU Sheng2,3
(1.College of Forestry, Northwest A&F University, Yangling, Shaanxi 712100, China; 2.State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling, Shaanxi 712100, China; 3.Institute of Soil and Water Conservation, Chinese Academy of Sciences and ministry of Water Resources, Yangling, Shaanxi 712100, China)
关键词:
森林健康评价;  人工林;  主成分分析;  甘肃省
Keywords:
forest health assessment;  plantation forest;  principal component analysis;  Gansu Province
分类号:
S718.557
DOI:
10.13869/j.cnki.rswc.2023.03.020
文献标志码:
A
摘要:
[目的]研究典型人工林健康状况,可为甘肃地区制定人工林科学经营措施、提高森林资源质量、实现森林可持续发展提供理论依据。[方法]以甘肃省5种典型人工林(刺槐林、杨树林、落叶松林、云杉林和油松林)为研究对象,在对区域内68个典型样地进行野外调查的基础上,从森林群落结构、生产力和恢复力等方面选取了18项指标,运用主成分分析和聚类分析法,构建了适用于该区域人工林的健康评价指标体系和健康评价模型,计算了森林健康指数,综合评价了该地区5种典型人工林的健康状况。[结果](1)甘肃地区典型人工林60.3%处于亚健康状态,22.1%处于不健康状态,10.3%处于中健康状态,7.3%处于健康状态;(2)不同人工林中,落叶松林的健康水平相对较高,杨树林健康水平最低,森林健康指数依次为落叶松林(0.417)>云杉林(0.126)>刺槐林(0.106)>油松林(0.000)>杨树林(-0.665);(3)人工林不同龄组中,成熟林的健康水平相对较高,幼龄林健康水平相对较低,平均森林健康指数依次为成熟林(0.580)>近熟林(-0.062)>中龄林(-0.073)>幼龄林(-0.354)。[结论]对甘肃地区人工林仍需加强森林抚育,合理制定该地区人工林可持续经营管理措施,以实现人工林生态系统可持续发展。
Abstract:
[Objective]Studying health assessment of typical plantation forests can provide a theoretical basis for formulating scientific management measures for plantation forests, improving the quality of forest resources and achieving sustainable development of plantation forests in Gansu. [Methods] Based on the field investigation of 68 typical sample plots in Gansu, this study took five main types of plantation forests(Robinia pseudoacacia, Populus spp, Larix principis-rupprechtii Mayr, Picea asperata Mast and Pinus tabuliformis)of Gansu as the research samples, and selected 18 indicators such as forest community structure, productivity and resilience, etc. Principal component analysis and cluster analysis were used to build the plantation forest health evaluation index system and forest health evaluation model, and the forest health index was used to reflect the forest healthy level. [Results](1)60.3% of the plantation forests in Gansu were in sub-health state, 22.1% were in unhealthy state, 10.3% were in medium-health state, and 7.3% were in healthy state.(2)For different plantation forests, the forest health index of L. principis-rupprechtii Mary was significantly higher, while the P. spp was relatively the lowest, and the the ranking of forest health index was the L. principis-rupprechtii Mary(0.417)>P. asperata Mast(0.126)>R. pseudoacacia(0.106)>P. tabuliformis(0.000)>P. spp( -0.665).(3)For different forest age groups, the forest health indices of mature forests were significantly higher than those of other age groups, while young forests had lower health levels, and the ranking of forest health index was the mature forests(0.580)>near mature forests(-0.062)>middle-aged forests(-0.073)>young forests( -0.354). [Conclusion] The plantation forests in Gansu still need to strengthen forest tending and management, the scientific sustainable management measures should be formulated for the plantation forests in the region, to achieve sustainable development of plantation forest ecosystems in Gansu Province.

参考文献/References:

[1] Gauthier S, Bernier P, Kuuluvainen T, et al. Boreal forest health and global change[J]. Science, 2015,349:819-822.
[2] 杜志,胡觉,肖前辉,等.中国人工林特点及发展对策探析[J].中南林业调查规划,2020,39(1):5-10.
[3] Harry H. Canada's national ecological framework:an asset to reporting on the health of Canadian forests[J]. Forestry Chronicle, 2001,77(1):111-115.
[4] Pan Z, He J, Liu D, et al. Ecosystem health assessment based on ecological integrity and ecosystem services demand in the middle reaches of the Yangtze River economic belt, China[J]. Science of the Total Environment, 2021,774:144837.
[5] 雷占梅,才仁旦周,高云鹤,等.西宁市青海云杉人工林健康评价研究[J].青海农林科技,2021(1):25-30,35.
[6] Xue P, Bing W, Xiang N. A simplified method for assessing forest health, with application to Chinese fir plantations in Dagang Mountain, Jiangxi, China[J]. Journal of Food Agriculture and Environment, 2013,11(2):1232-1238.
[7] 胡爽,徐誉远,王本洋.我国森林健康评价方法综述[J].林业与环境科学,2017,33(1):90-96.
[8] 刘金良,于泽群,张顺祥,等.渭北黄土高原区刺槐人工林健康评价体系的构建[J].西北农林科技大学学报:自然科学版,2014,42(6):93-99.
[9] 周洋,郑小贤,高祥,等.金沟岭林场落叶松人工林健康评价研究[J].西北林学院学报,2014,29(1):134-137.
[10] 王亮,杨玉龙,赵庭伟,等.甘肃安西极旱荒漠自然保护区森林资源调查研究[J].内蒙古林业调查设计,2021,44(1):1-3.
[11] 岳军伟.甘肃主要森林类型固碳动态、潜力及影响机制[D].北京:中国科学院大学(中国科学院教育部水土保持与生态环境研究中心),2018.
[12] 鄢继尧,赵媛.近三十年我国生态脆弱区研究热点与展望[J].南京师大学报:自然科学版,2020,43(4):74-85.
[13] 刘娅菲,李雪梅.甘肃省近54年气温时空变化特征分析[J].兰州交通大学学报,2016,35(4):153-161.
[14] 张晓庆,赵万奎,陈智平,等.2006—2016年甘肃省森林生态系统服务功能价值动态变化研究[J].湖北农业科学,2021,60(16):38-43.
[15] 国家林业局.国家森林资源连续清查技术规定[R].2014.
[16] 徐来仙,姚兰,郭秋菊,等.鄂西南利中盆地马尾松天然次生林森林健康评价[J].西南林业大学学报:自然科学,2021,41(3):69-77.
[17] 潘磊,王晓荣,唐万鹏,等.森林生态系统健康评价研究进展[J].湖北林业科技,2015,44(6):35-39.
[18] 甘肃省林业厅.甘肃省林地落界实施细则[R].试行,2012.
[19] 国家林业和草原局.森林资源连续清查技术规程[S].GB T38590-2020,2020.
[20] 李佳慧,彭祚登,刘勇,等.北京市首都功能核心区国槐健康评价及其影响因素研究[J].西北农林科技大学学报:自然科学版,2021,49(1):64-73.
[21] 罗鹏飞,江海斌,谭尹豪,等.基于主成分分析与系统聚类的森林健康评价研究[J].林业与环境科学,2021,37(5):69-75.
[22] 刘建泉,孙建忠.东大河林区青海云杉林健康评价[J].草业科学,2012,29(4):624-628.
[23] 王秋燕,陈鹏飞,李学东,等.森林健康评价方法综述[J].南京林业大学学报:自然科学版,2018,42(2):177-183.
[24] Tao N, Liu D, Wu J. Assessment of forest ecosystem health based on fuzzy evaluation method: A case study of forest ecosystem in Liangshui natural reserve[J]. Revista Internacional De Contaminación Ambiental, 2019,35:159-164.
[25] 赵勇钧,谢阳生,王建军,等.基于多元统计分析的马尾松人工林健康评价研究:以广西热带林业试验中心为例[J].中南林业科技大学学报,2019,39(7):100-107.
[26] 童建明,马立荣.城步苗族自治县森林健康评价[J].中南林业调查规划,2019,38(3):38-42.
[27] 孙敏,周春国.小班尺度森林资源质量评价:以南京市老山林场为例[J].江苏农业科学,2019,47(2):101-104.
[28] 蔡小溪.不同演替阶段针阔混交林森林健康评价[D].哈尔滨:东北林业大学,2015.
[29] 宋亚卓.甘肃省三北工程林分退化原因及修复措施[J].防护林科技,2015,(7):58-59.
[30] 吴东旭.三北防护林退化现状及更新修复对策[J].防护林科技,2020,(9):64-65,85.
[31] 张龙生.甘肃发展森林资源浅议[J].甘肃林业,2018,(2):35.
[32] 王春霞.近自然经营对旺业甸森林灌草植物多样性影响的研究[D].呼和浩特:内蒙古农业大学,2017.

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备注/Memo

收稿日期:2022-04-18 修回日期:2022-05-06
资助项目:中国科学院野外站联盟课题(KFJ-SW-YW034-03); 中国科学院战略性先导科技专项课题(XDA05050202)
第一作者:申小娟(1997—),女,河南焦作人,硕士研究生,主要从事植被恢复与森林生态系统过程研究。E-mail:xiaojuan_shen@foxmail.com
通信作者:杜盛(1965—),男,内蒙古鄂尔多斯人,博士,研究员,主要从事植被恢复与森林生态系统过程研究。E-mail:shengdu@ms.iswc.ac.cn

更新日期/Last Update: 2023-04-10