吉林省林地立地质量评价及生产潜力研究
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摘要
依据一类清查的标准木、样木和样地数据,构建主要树种(组)树高曲线,编制立地形表,用地形和土壤因子拟合立地形估测模型。以此,基于吉林省二类调查数据库,估测全省小班立地形,得到立地质量等级及分布。同时根据全省现实林分状况,综合确定各立地质量等级林地的生产潜力,由此对比分析现实与潜在生产力。结果表明:1)基于清查资料构建的立地形估测模型,经检验,均达到显著相关水平,可用于立地质量的评价;2)吉林省林地质量较好,林地质量等级为好和中等的分别占31.03%和66.00%,合计高达97.03%;3)全省现实生产力为潜在生产力的56.65%,仅7.20%的森林达到林地生产潜力水平,森林生产力仍有较大可提高性;4)基于一类清查和二类调查数据库的立地质量评价和生产潜力测算的方法可靠,具有可推广性。
Based on Continuous Forest Inventory Data(standard trees, sample trees and plot data), the tree height curves of main tree species were established, the site form tables were compiled, and site form models were fitted with landform and soil factors. Based on the forest management inventory database of Jilin province, the site form of sub-compartment in Jilin province was estimated,and the quality grade and distribution of the stand site were obtained. At the same time, according to the actual stand status of the whole province, the production potential of forest land of each stand site quality grade was determined comprehensively. From this,comparative analyses of reality productivity and potential productivity were conducted. The results show that: 1) The site form estimation model of sub-compartment based on inventory data has been verified to be significantly correlated level and can be used for the evaluation of the stand site quality; 2) The forest quality of Jilin Province was good, the forest quality grade of good and medium accounted for 31.03% and 66.00% respectively, totally reached 97.03%; 3) The actual productivity of the whole province was 56.65%of the potential productivity, and only 7.20% of the forest reached the potential level of forest production, so there is still a relatively high increase in forest productivity; 4) The methods of site quality evaluation and production potential measurement based on the data of continuous forest inventory and forest management inventory survey is reliable and can be popularized.
Based on Continuous Forest Inventory Data(standard trees, sample trees and plot data), the tree height curves of main tree species were established, the site form tables were compiled, and site form models were fitted with landform and soil factors. Based on the forest management inventory database of Jilin province, the site form of sub-compartment in Jilin province was estimated,and the quality grade and distribution of the stand site were obtained. At the same time, according to the actual stand status of the whole province, the production potential of forest land of each stand site quality grade was determined comprehensively. From this,comparative analyses of reality productivity and potential productivity were conducted. The results show that: 1) The site form estimation model of sub-compartment based on inventory data has been verified to be significantly correlated level and can be used for the evaluation of the stand site quality; 2) The forest quality of Jilin Province was good, the forest quality grade of good and medium accounted for 31.03% and 66.00% respectively, totally reached 97.03%; 3) The actual productivity of the whole province was 56.65%of the potential productivity, and only 7.20% of the forest reached the potential level of forest production, so there is still a relatively high increase in forest productivity; 4) The methods of site quality evaluation and production potential measurement based on the data of continuous forest inventory and forest management inventory survey is reliable and can be popularized.
引文
[1]孟宪宇.测树学[M].北京:中国林业出版社,2006:98-112.
[2]EVERETT C J,THORP J H.Site quality evaluation of loblolly pine on the South Carolina Lower Coastal Plain,USA[J].林业研究:英文版,2008,19(3):187-192.
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[4]吴晓丽,杨春玉.森林立地质量定量评价方法[J].内蒙古林业调查设计,2015,38(1):29-30.
[5]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.
[6]朱光玉,康立.森林立地生产力评价指标与方法[J].西北林学院学报,2016,31(6):275-281.
[7]郭艳荣,刘洋,吴保国.福建省宜林地立地质量的分级与数量化评价[J].东北林业大学学报,2014,42(10):54-59.
[8]陈永富,杨秀森.海南岛热带天然山地雨林立地质量评价研究[J].林业科学研究,2000,13(2):134-140.
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[10]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(08):27-30.
[11]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.
[12]骆期邦,吴志德,肖永林.立地质量的树种代换评价研究[J].林业科学,1989,25(5):410-419.
[13]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):292-297.
[14]王璐,王海燕,何丽鸿,等.天然云冷杉针阔混交林立地质量评价[J].东北林业大学学报,2016,44(3):1-7.
[15]季碧勇,陶吉兴,王文武.基于连续清查固定样地生物量的立地质量评价[J].西南林业大学学报,2012,32(4):45-50.
[16]黄家荣,马天晓,王艳梅,等.基于BP网络的无林地立地质量评价模型研究[J].山地农业生物学报,2006,25(6):479-483.
[17]费晓霞.扎文其汉无林地立地类型划分及评价[J].内蒙古林业调查设计,1998(2):57-60.
[18]费鸿崑,李淑芳,周荣胜.对小兴安岭南坡人工落叶松林立地质量的评价[J].林业勘查设计,2011,14(2):66-67.
[19]庄晨辉,严思钟.福建柏立地质量评价研究[J].林业资源管理,1998(2):50-53.
[20]朱虹,杨凯.红皮云杉人工林立地分类与质量评价[J].东北林业大学学报,2008,36(5):4-6.
[21]吕勇,朱光玉,罗立平,等.基于不同立地因子的杉木与马尾松地位指数相关模型[J].中南林业科技大学学报,2007,27(1):81-84.
[22]惠淑荣,李丽锋,刘强,等.辽东地区日本落叶松立地分类和立地质量研究[J].西北林学院学报,2011,26(3):139-142.
[23]李正茂,李昌珠,张良波,等.油料树种光皮树人工林立地质量评价[J].中南林业科技大学学报,2010,30(3):75-79.
[24]张超,彭道黎,黄国胜,等.基于森林清查数据的三峡库区林地立地质量评价[J].东北林业大学学报,2015,43(11):56-61.
[25]中国森林立地分类编写组.中国森林立地分类[M].北京:中国林业出版社,1989:27-39.
[26]李海奎,雷渊才.中国森林植被生物量和碳储量评估[M].北京:中国林业出版社,2010:5-25.
[27]唐守正,朗奎建,李海奎.统计和生物数学模型计算[M].北京:科学出版社,2009:115-121.
[28]STOUT B B,SHUMWAY D L.Site quality estimation using height and diameter[J].Forest Science,1982,28(3):639-645.
[29]马建路,宣立峰,刘德君.用优势树全高和胸径的关系评价红松林的立地质量[J].东北林业大学学报,1995,23(2):20-27.
[30]国家林业局.国家森林资源连续清查主要技术规定[S].2014.
[31]黄国胜,马炜,王雪军,等.基于一类清查数据的福建省立地质量评价技术[J].北京林业大学学报,2014,36(3):1-8.
[32]詹昭宁.森林生产力的评定办法[M].北京:中国林业出版社,1982.
[33]王雪军,张煜星,黄国胜,等.赣州市林地质量评价及生产潜力研究[J].江西农业大学学报,2014,36(5):1159-1166.
[2]EVERETT C J,THORP J H.Site quality evaluation of loblolly pine on the South Carolina Lower Coastal Plain,USA[J].林业研究:英文版,2008,19(3):187-192.
[3]郭艳荣,吴保国,刘洋,等.立地质量评价研究进展[J].世界林业研究,2012,25(5):47-52.
[4]吴晓丽,杨春玉.森林立地质量定量评价方法[J].内蒙古林业调查设计,2015,38(1):29-30.
[5]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.
[6]朱光玉,康立.森林立地生产力评价指标与方法[J].西北林学院学报,2016,31(6):275-281.
[7]郭艳荣,刘洋,吴保国.福建省宜林地立地质量的分级与数量化评价[J].东北林业大学学报,2014,42(10):54-59.
[8]陈永富,杨秀森.海南岛热带天然山地雨林立地质量评价研究[J].林业科学研究,2000,13(2):134-140.
[9]胡兴宜,宋从文,张家来.湖北省秃杉立地类型划分及立地质量评价[J].江西农业大学学报,2004,26(4):532-535.
[10]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(08):27-30.
[11]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.
[12]骆期邦,吴志德,肖永林.立地质量的树种代换评价研究[J].林业科学,1989,25(5):410-419.
[13]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):292-297.
[14]王璐,王海燕,何丽鸿,等.天然云冷杉针阔混交林立地质量评价[J].东北林业大学学报,2016,44(3):1-7.
[15]季碧勇,陶吉兴,王文武.基于连续清查固定样地生物量的立地质量评价[J].西南林业大学学报,2012,32(4):45-50.
[16]黄家荣,马天晓,王艳梅,等.基于BP网络的无林地立地质量评价模型研究[J].山地农业生物学报,2006,25(6):479-483.
[17]费晓霞.扎文其汉无林地立地类型划分及评价[J].内蒙古林业调查设计,1998(2):57-60.
[18]费鸿崑,李淑芳,周荣胜.对小兴安岭南坡人工落叶松林立地质量的评价[J].林业勘查设计,2011,14(2):66-67.
[19]庄晨辉,严思钟.福建柏立地质量评价研究[J].林业资源管理,1998(2):50-53.
[20]朱虹,杨凯.红皮云杉人工林立地分类与质量评价[J].东北林业大学学报,2008,36(5):4-6.
[21]吕勇,朱光玉,罗立平,等.基于不同立地因子的杉木与马尾松地位指数相关模型[J].中南林业科技大学学报,2007,27(1):81-84.
[22]惠淑荣,李丽锋,刘强,等.辽东地区日本落叶松立地分类和立地质量研究[J].西北林学院学报,2011,26(3):139-142.
[23]李正茂,李昌珠,张良波,等.油料树种光皮树人工林立地质量评价[J].中南林业科技大学学报,2010,30(3):75-79.
[24]张超,彭道黎,黄国胜,等.基于森林清查数据的三峡库区林地立地质量评价[J].东北林业大学学报,2015,43(11):56-61.
[25]中国森林立地分类编写组.中国森林立地分类[M].北京:中国林业出版社,1989:27-39.
[26]李海奎,雷渊才.中国森林植被生物量和碳储量评估[M].北京:中国林业出版社,2010:5-25.
[27]唐守正,朗奎建,李海奎.统计和生物数学模型计算[M].北京:科学出版社,2009:115-121.
[28]STOUT B B,SHUMWAY D L.Site quality estimation using height and diameter[J].Forest Science,1982,28(3):639-645.
[29]马建路,宣立峰,刘德君.用优势树全高和胸径的关系评价红松林的立地质量[J].东北林业大学学报,1995,23(2):20-27.
[30]国家林业局.国家森林资源连续清查主要技术规定[S].2014.
[31]黄国胜,马炜,王雪军,等.基于一类清查数据的福建省立地质量评价技术[J].北京林业大学学报,2014,36(3):1-8.
[32]詹昭宁.森林生产力的评定办法[M].北京:中国林业出版社,1982.
[33]王雪军,张煜星,黄国胜,等.赣州市林地质量评价及生产潜力研究[J].江西农业大学学报,2014,36(5):1159-1166.
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