The Present Situation of Forest Site Classification and Evaluation

XIAO Chun-lian

doi:10.16779/j.cnki.1003-5508.2019.01.020

Volume 40 Issue 1

Nov. 2019

Article Contents

Turn off MathJax

Article Navigation > Journal of Sichuan Forestry Science and Technology > 2019 > 40(1): 92-97

XIAO Chun-lian. The Present Situation of Forest Site Classification and Evaluation[J]. Journal of Sichuan Forestry Science and Technology, 2019, 40(1): 92-97. doi: 10.16779/j.cnki.1003-5508.2019.01.020

Citation:

XIAO Chun-lian. The Present Situation of Forest Site Classification and Evaluation[J]. Journal of Sichuan Forestry Science and Technology, 2019, 40(1): 92-97. doi: 10.16779/j.cnki.1003-5508.2019.01.020

The Present Situation of Forest Site Classification and Evaluation

doi: 10.16779/j.cnki.1003-5508.2019.01.020

XIAO Chun-lian

More Information

San Su Forestry Station of Dongpo District, Meishan 620000, China

Received Date: 2018-09-07

Abstract

Classification and evaluation of forest site were one of the most important fundamental work in forestry production planning, field operation design,afforestation and forest cultivation,and also the key to planting trees and promoting the healthy development of woodland productivity and forestry.It was significant for improving the quality of cultivation,developing sustainable forestry,and restoring and expanding forest resources.In this article,the research status was systematically reviewed together with features of site classification and evaluation at home and abroad. Meanwhile,based on the development and application of remote sensing information technology,site classification and evaluation were analyzed and summarized in combination with the previous concrete research cases.Overall,site classification and evaluation by remote sensing information technology improved not only accuracy and objectivity,but also convenience and rapidness.In the future,more computer technology and remote sensing information technology could be utilized to develop into comprehensive site classification and evaluation with multi-factor and multi-level.
- Site classification;
- Site evaluation;
- Remote sensing

References

[1]	吴菲.森林立地分类及质量评价研究综述[J].林业科技情报,2010,42(1):12~12.
[2]	林民治.森林立地分类与质量评价综述[J].林业与环境科学,1987,(5):18~20.
[3]	张雅梅,何瑞珍,安裕伦.基于RS与GIS的森林立地分类研究[J].西北林学院学报,2005,20(4):147~152.
[4]	滕维超,万文生,王凌晖.森林立地分类与质量评价研究进展[J].南方农业学报,2009,40(8):1110~1114.
[5]	朱万才,李亚洲,李梦.森林立地分类方法研究进展[J].黑龙江生态工程职业学院学报,2011,(1):24~25.
[6]	沈金泉.基于GIS技术的福建省森林立地类型分类及其景观空间格局[D].福建农林科技大学,2005.
[7]	邝立刚,梁守伦,雍鹏.山西省立地类型区划——山西省立地类型划分与造林模式研究(I)[J].山西林业科技,2008,(4):1~4.
[8]	马天晓.基于人工神经网络的森林立地分类与评价[D].河南农业大学,2006.
[9]	杜健.柚木人工林生长与立地类型研究[D].中国林业科学研究院,2016.
[10]	范金顺,高兆蔚,蔡元晃,等.福建省森林立地分类与立地质量评价[J].林业勘察设计,2012,(1):1~5.
[11]	顾云春.巴登-符腾堡分类法与中国的立地分类[J].林业资源管理,1993,(2):46~49.
[12]	张志云,蔡学林,欧阳勋志.森林立地研究综述[J].江西农业大学学报,1997,(6):166~173.
[13]	雷瑞德.苏联的森林资源和林型学说[J].西北林学院学报,1988,(2 ).
[14]	汪祥森.国外森林立地分类和立地质量评价[J].中南林业调查规划,1990,(1):53~58.
[15]	季碧勇.基于森林资源连续清查体系的浙江省立地分类与质量评价[D].浙江大学,2014.
[16]	周永斌,邹晓明.从适地适树到适钙适树的理论与例证[J].南京林业大学学报:自然科学版,2017,41(2):1~8.
[17]	陈昌雄.天然常绿阔叶林生长潜力及择伐经营研究[D].南京林业大学,2005.
[18]	南方十四省(区)杉木协作组.杉木立地条件的系统研究及应用[J].林业科学,1983,19:246~254.
[19]	沈国舫,杨敏生,韩明波.京西山区油松人工林的适生立地条件及生长预测[J].林业科学,1985,21(1):10~19.
[20]	张万儒.中国森林立地[M].北京:科学出版社,1997.
[21]	范小洪,徐东.森林立地分类及立地质量评价[J].四川林业科技,1995,(2):61~64.
[22]	王娟.5·12地震北川县震后受损林地立地类型划分及其质量评价[D].北京林业大学,2012.
[23]	余其芬,唐德瑞.基于遥感与地理信息系统的森林立地分类[J].西北林学院学报,2003,18(50):87~90.
[24]	丰绪霞,刘兆刚,张海玉,等.基于RS和GIS帽儿山林场森林立地分类及质量评价[J].东北林业大学学报,2010,38(8):27~30.
[25]	曹善寿.云南林业信息化建设和森林资源管理[J].西部林业科学,2003(3):59~63.
[26]	王永昌,张金池.基于遥感技术的云台山立地分类及质量评价[J].南京林业大学学报:自然科学版,2007,31(1):85~89.
[27]	张晓丽,游先祥.应用"3S"技术进行北京市森林立地分类和立地质量评价的研究[J].遥感学报,1998,2(4):292~295.
[28]	刘献伦,王迎,赵登超.利用GIS技术进行山东省立地类型划分[J].山东林业科技,2007(4):7~10.
[29]	史良树.遥感技术现状及其在林业中的应用[J].林业资源管理,2004,(2):50~63.
[30]	刘宗义.环境地图中多元信息叠置分析方法的探讨[J].环境研究与监测,1989,(4):42~44.
[31]	曾春阳.基于GIS的小班立地因子提取与立地评价研究[D].中南林业科技大学,2008.
[32]	吴菲.基于"3S"技术帽儿山林场森林立地分类及质量研究[D].东北林业大学,2010.
[33]	曾晶,张晓丽.福建龙栖山国家级自然保护区森林立地分类研究[J].西北林学院学报,2016,31(1):192~198.
[34]	CRIST E P,CICONE R C.A physically-based transformation of the matic mapper data-the TM tasseled cap[J].Geoscience and Remote Sensing,IEEE Transactions on Geoscience and remote sensing,1984,(3):256-263.
[35]	巩垠熙,高原,仇琪,等.基于遥感影像的神经网络立地质量评价研究[J].中南林业科技大学学报,2013,33(10):42~47.
[36]	李强,王正志.遥感图像数字处理系统的发展综述[J].遥感技术与应用,1998,13(4):54~58.
[37]	CPLEMAN T L,AGBU P A,MONTGOMERY O L.Spectarl differentiation of surface soils and soil properties:is it possible from space platforms[J].Soil Science,1993,155:283~293.
[38]	THOMPSON D R,HENDERSON K E,HOUSTON A G,et al.Variation in alluvial-derived soils as measured by landsat thematic mapper[J].Soil Science Society of America Journal,1984,48:137~142.
[39]	周道玮,田雨,王敏玲,等.覆沙改良科尔沁沙地-松辽平原交错区盐碱地与造田技术研究[J].自然资源学报,2011,(6):910~918.
[40]	郭建斌,刘颖,游先祥.基于"3S"技术的鹫峰森林公园立地分类及制图研究[J].安徽农业科学,2009,37(32):16167~16170.
[41]	李明泽,郭鸿郡,范文义,等.基于GWR的大兴安岭森林立地质量遥感分析[J].林业科学,2017,53(6):56~66.
[42]	文军,王介民.一种由卫星遥感资料获得的修正的土壤调整植被指数[J].气候与环境研究,1997,2(3):105~112.
[43]	郭含茹,张茂震,徐丽华,等.基于地理加权回归的区域森林碳储量估计[J].浙江农林大学学报,2015,32(4):497~508.
[44]	李程.基于空间统计分析的储备林树种立地指数预估研究[J].中国林业科学研究院,2016:1~69.
[45]	王烁,李凤日,赵颖慧,等.基于空间模型的白河林业局天然红松分布[J].北京林业大学学报,2015,37(10):73~85.

Proportional views

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Get Citation

PDF

XML

Article views(564) PDF downloads(27) Cited by()

Proportional views

The Present Situation of Forest Site Classification and Evaluation

San Su Forestry Station of Dongpo District, Meishan 620000, China

Received Date: 2018-09-07

Key words:

Abstract: Classification and evaluation of forest site were one of the most important fundamental work in forestry production planning, field operation design,afforestation and forest cultivation,and also the key to planting trees and promoting the healthy development of woodland productivity and forestry.It was significant for improving the quality of cultivation,developing sustainable forestry,and restoring and expanding forest resources.In this article,the research status was systematically reviewed together with features of site classification and evaluation at home and abroad. Meanwhile,based on the development and application of remote sensing information technology,site classification and evaluation were analyzed and summarized in combination with the previous concrete research cases.Overall,site classification and evaluation by remote sensing information technology improved not only accuracy and objectivity,but also convenience and rapidness.In the future,more computer technology and remote sensing information technology could be utilized to develop into comprehensive site classification and evaluation with multi-factor and multi-level.

HTML

Reference (45)

[1]	吴菲.森林立地分类及质量评价研究综述[J].林业科技情报,2010,42(1):12~12.
[2]	林民治.森林立地分类与质量评价综述[J].林业与环境科学,1987,(5):18~20.
[3]	张雅梅,何瑞珍,安裕伦.基于RS与GIS的森林立地分类研究[J].西北林学院学报,2005,20(4):147~152.
[4]	滕维超,万文生,王凌晖.森林立地分类与质量评价研究进展[J].南方农业学报,2009,40(8):1110~1114.
[5]	朱万才,李亚洲,李梦.森林立地分类方法研究进展[J].黑龙江生态工程职业学院学报,2011,(1):24~25.
[6]	沈金泉.基于GIS技术的福建省森林立地类型分类及其景观空间格局[D].福建农林科技大学,2005.
[7]	邝立刚,梁守伦,雍鹏.山西省立地类型区划——山西省立地类型划分与造林模式研究(I)[J].山西林业科技,2008,(4):1~4.
[8]	马天晓.基于人工神经网络的森林立地分类与评价[D].河南农业大学,2006.
[9]	杜健.柚木人工林生长与立地类型研究[D].中国林业科学研究院,2016.
[10]	范金顺,高兆蔚,蔡元晃,等.福建省森林立地分类与立地质量评价[J].林业勘察设计,2012,(1):1~5.
[11]	顾云春.巴登-符腾堡分类法与中国的立地分类[J].林业资源管理,1993,(2):46~49.
[12]	张志云,蔡学林,欧阳勋志.森林立地研究综述[J].江西农业大学学报,1997,(6):166~173.
[13]	雷瑞德.苏联的森林资源和林型学说[J].西北林学院学报,1988,(2	).
[14]	汪祥森.国外森林立地分类和立地质量评价[J].中南林业调查规划,1990,(1):53~58.
[15]	季碧勇.基于森林资源连续清查体系的浙江省立地分类与质量评价[D].浙江大学,2014.
[16]	周永斌,邹晓明.从适地适树到适钙适树的理论与例证[J].南京林业大学学报:自然科学版,2017,41(2):1~8.
[17]	陈昌雄.天然常绿阔叶林生长潜力及择伐经营研究[D].南京林业大学,2005.
[18]	南方十四省(区)杉木协作组.杉木立地条件的系统研究及应用[J].林业科学,1983,19:246~254.
[19]	沈国舫,杨敏生,韩明波.京西山区油松人工林的适生立地条件及生长预测[J].林业科学,1985,21(1):10~19.
[20]	张万儒.中国森林立地[M].北京:科学出版社,1997.
[21]	范小洪,徐东.森林立地分类及立地质量评价[J].四川林业科技,1995,(2):61~64.
[22]	王娟.5·12地震北川县震后受损林地立地类型划分及其质量评价[D].北京林业大学,2012.
[23]	余其芬,唐德瑞.基于遥感与地理信息系统的森林立地分类[J].西北林学院学报,2003,18(50):87~90.
[24]	丰绪霞,刘兆刚,张海玉,等.基于RS和GIS帽儿山林场森林立地分类及质量评价[J].东北林业大学学报,2010,38(8):27~30.
[25]	曹善寿.云南林业信息化建设和森林资源管理[J].西部林业科学,2003(3):59~63.
[26]	王永昌,张金池.基于遥感技术的云台山立地分类及质量评价[J].南京林业大学学报:自然科学版,2007,31(1):85~89.
[27]	张晓丽,游先祥.应用"3S"技术进行北京市森林立地分类和立地质量评价的研究[J].遥感学报,1998,2(4):292~295.
[28]	刘献伦,王迎,赵登超.利用GIS技术进行山东省立地类型划分[J].山东林业科技,2007(4):7~10.
[29]	史良树.遥感技术现状及其在林业中的应用[J].林业资源管理,2004,(2):50~63.
[30]	刘宗义.环境地图中多元信息叠置分析方法的探讨[J].环境研究与监测,1989,(4):42~44.
[31]	曾春阳.基于GIS的小班立地因子提取与立地评价研究[D].中南林业科技大学,2008.
[32]	吴菲.基于"3S"技术帽儿山林场森林立地分类及质量研究[D].东北林业大学,2010.
[33]	曾晶,张晓丽.福建龙栖山国家级自然保护区森林立地分类研究[J].西北林学院学报,2016,31(1):192~198.
[34]	CRIST E P,CICONE R C.A physically-based transformation of the matic mapper data-the TM tasseled cap[J].Geoscience and Remote Sensing,IEEE Transactions on Geoscience and remote sensing,1984,(3):256-263.
[35]	巩垠熙,高原,仇琪,等.基于遥感影像的神经网络立地质量评价研究[J].中南林业科技大学学报,2013,33(10):42~47.
[36]	李强,王正志.遥感图像数字处理系统的发展综述[J].遥感技术与应用,1998,13(4):54~58.
[37]	CPLEMAN T L,AGBU P A,MONTGOMERY O L.Spectarl differentiation of surface soils and soil properties:is it possible from space platforms[J].Soil Science,1993,155:283~293.
[38]	THOMPSON D R,HENDERSON K E,HOUSTON A G,et al.Variation in alluvial-derived soils as measured by landsat thematic mapper[J].Soil Science Society of America Journal,1984,48:137~142.
[39]	周道玮,田雨,王敏玲,等.覆沙改良科尔沁沙地-松辽平原交错区盐碱地与造田技术研究[J].自然资源学报,2011,(6):910~918.
[40]	郭建斌,刘颖,游先祥.基于"3S"技术的鹫峰森林公园立地分类及制图研究[J].安徽农业科学,2009,37(32):16167~16170.
[41]	李明泽,郭鸿郡,范文义,等.基于GWR的大兴安岭森林立地质量遥感分析[J].林业科学,2017,53(6):56~66.
[42]	文军,王介民.一种由卫星遥感资料获得的修正的土壤调整植被指数[J].气候与环境研究,1997,2(3):105~112.
[43]	郭含茹,张茂震,徐丽华,等.基于地理加权回归的区域森林碳储量估计[J].浙江农林大学学报,2015,32(4):497~508.
[44]	李程.基于空间统计分析的储备林树种立地指数预估研究[J].中国林业科学研究院,2016:1~69.
[45]	王烁,李凤日,赵颖慧,等.基于空间模型的白河林业局天然红松分布[J].北京林业大学学报,2015,37(10):73~85.

The Present Situation of Forest Site Classification and Evaluation

doi: 10.16779/j.cnki.1003-5508.2019.01.020

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

Related

Proportional views