浙江瑞安公益林群落结构及其与环境的相关性

doi:10.11983/CBB16115

植物学报 ›› 2017, Vol. 52 ›› Issue (4): 496-510.DOI: 10.11983/CBB16115

浙江瑞安公益林群落结构及其与环境的相关性

叶诺楠¹, 沈娜娉², 商天其¹, 高洪娣³, 管杰然¹, 伊力塔^1,^*()

¹浙江农林大学林业与生物技术学院, 临安 311300
²国家林业局华东林业调查规划设计院, 杭州 310019 ³浙江省林业生态工程管理中心, 杭州 310020

收稿日期:2016-05-26 接受日期:2016-10-11 出版日期:2017-07-01 发布日期:2017-05-05
通讯作者: 伊力塔
作者简介:
# 共同第一作者
基金资助:
基金项目: 浙江省重点科技创新团队(No.2011R50027)

Vegetation Structure and Internal Relationship Between Distribution Patterns of Vegetation and Environment in Ecological Service Forest of Rui’an City in Zhejiang Province

Nuonan Ye¹, Naping Shen², Tianqi Shang¹, Hongdi Gao³, Jieran Guan¹, Lita Yi^1*

¹School of Forestry and Biotechnology, Zhejiang Agriculture and Forestry University, Lin’an 311300, China;
²The East China Institute of Forest Inventory and Planning of the State Forestry Administration, Hangzhou 310019, China
³Ecological Management Center, Forestry Department of Zhejiang Province, Hangzhou 310020, China

Received:2016-05-26 Accepted:2016-10-11 Online:2017-07-01 Published:2017-05-05
Contact: Yi Lita
About author:
# Co-first authors

摘要/Abstract

摘要： 运用CCA排序、TWINSPAN等级分类、物种多样性以及种间联结等分析方法探讨了浙江省瑞安市公益林群落中地形因子对植物空间分布格局的影响以及主要优势物种的种间关系, 以期解释公益林群落特征及其与环境因子的关系。结果表明, 瑞安市公益林物种分布受海拔、坡度和坡向(总体上可解释69.1%的环境因子)的影响。运用TWINSPAN等级分类, 在种- 环境CCA排序结果的基础上将群落大致划分为13类群丛, 其中以马尾松(Pinus massoniana)、杉木(Cunninghamia lanceolata)和柳杉(Cryptomeria fortunei)为优势种的群丛个数最多; 群落的多样性水平总体较高, 以马尾松、杉木和柳杉为优势种的群丛因其具有较好的地形条件而多样性最高; 群落垂直层次的物种多样性由大到小依次为: 灌木层>乔木层>草本层, 同时3个垂直层次中主要优势种的正负关联比低(均小于2), 其中乔木层优势种的正负关联比最高, 说明研究区群落结构尚不稳定, 但乔木层相对比较稳定。研究结果为研究区公益林管理提供理论支撑。

Abstract: With the construction of an ecological service forest (ESF) in Zhejiang province, the ESF has provided many ecological and social benefits to humans; thus, the number of studies about ESF has also increased. This study describes how to analyze the vegetation structure and the internal relationship between distribution patterns of vegetation and environment in 92 permanent sample plots of the ESF in Rui’an city, Zhejiang province. The vegetation structure and the internal relationship between the distribution patterns of vegetation and environment were studied by using canonical correspondence analysis (CCA), two-way indicator species analysis (TWINSPAN), biodiversity and interspecies association. (1) The elevation, slop aspect and slop position were main environment factors in the community distribution. (2) Combined with the results of CCA, the 92 plots could be divided into 13 groups by TWINSPAN, and the associations of Pinus massoniana, Cunninghamia lanceolata and Cryptomeria fortunei were the most constructive species. (3) The diversity of vegetation was high, and the groups with P. massonian, C. lanceolata and C. fortunei as dominant species had higher diversity. The species diversities of different layers in the community were in the order of shrub layer>tree layer>herb layer. (4) The stability of the community was not high (less than 2), but the tree layer was relatively stable because the lower ratios of positive and negative association theoretically implied the instable vegetation structure. Therefore, the internal relationship between the distribution patterns of vegetation and environment and the dominant species association could be explained by a combination of all methods; these methods could provide a scientific foundation for the classification management of a regional ESF.

叶诺楠, 沈娜娉, 商天其, 高洪娣, 管杰然, 伊力塔. 浙江瑞安公益林群落结构及其与环境的相关性. 植物学报, 2017, 52(4): 496-510.

Nuonan Ye, Naping Shen, Tianqi Shang, Hongdi Gao, Jieran Guan, Lita Yi. Vegetation Structure and Internal Relationship Between Distribution Patterns of Vegetation and Environment in Ecological Service Forest of Rui’an City in Zhejiang Province. Chinese Bulletin of Botany, 2017, 52(4): 496-510.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.chinbullbotany.com/CN/10.11983/CBB16115

https://www.chinbullbotany.com/CN/Y2017/V52/I4/496

图/表 13

参考文献 53

[1]	陈瑶, 胥晓, 张德然, 魏勇 (2006). 四川龙门山西北部植被分布与地形因子的相关性. 生态学杂志 25, 1052-1055.
[2]	程煜, 洪伟, 吴承祯, 王新功 (2002). 闽北马尾松人工林密度效应蓄积量改进模型. 河南农业大学学报 36, 147-150.
[3]	戴守斌 (2012). 瑞安市塘下镇森林城镇建设规划中的树种选择与配置探讨. 绿色科技 10, 78-80.
[4]	管杰然, 伊力塔, 钱逸凡, 何德汀, 余树全, 沈燕 (2012). 嵊州市公益林生物量及碳储量. 湖北农业科学 51, 4556-4560.
[5]	郭晋平, 张芸香 (2003). 中国森林景观生态研究的进展与展望. 世界林业研究 16(5), 46-49.
[6]	郭逍宇, 张金屯, 宫辉力, 董志 (2004). 安太堡矿区植被恢复过程主要种生态位梯度变化研究. 西北植物学报 24, 2329-2334.
[7]	郭屹立, 卢训令, 丁圣彦 (2012). 伊洛河河岸带生态系统草本植物功能群划分. 生态学报 32, 4434-4442.
[8]	洪伟, 林成来, 吴承祯, 何东进, 陈昆 (1999). 福建建溪流域常绿阔叶防护林物种多样性特征研究. 生物多样性 7, 208-213.
[9]	贾晓妮, 程积民, 万惠娥 (2007). DCA、CCA和DCCA三种排序方法在中国草地植被群落中的应用现状. 中国农学通报 23, 391-395.
[10]	江波 (2005). 浙江省生态公益林群落结构特征及其调控研究. 博士论文. 北京: 北京林业大学. pp. 16-18.
[11]	巨天珍, 王彦, 任海峰, 姚晶晶, 王蒙, 孟凡涛, 王继伟 (2012). 小陇山国家级自然保护区次生林分类、排序及演替. 生态学杂志 31, 23-29.
[12]	李土生, 袁位高 (2011). 公益林监测研究 . 北京: 中国林业出版社. pp. 12-14.
[13]	李智叁, 李凤日 (2008). 乌兰布和沙漠天然白刺种群及主要伴生种种间关联性研究. 植物研究 28, 98-103.
[14]	刘金福, 洪伟, 樊后保, 林荣福 (2001). 天然格氏栲林乔木层种群种间关联性研究. 林业科学 37(4), 117-123.
[15]	刘萍萍 (2000). 植物种间联结关系的研究. 水土保持研究 7, 179-184.
[16]	栾青杉, 孙军, 宋书群, 沈志良, 俞志明 (2007). 长江口夏季浮游植物群落与环境因子的典范对应分析. 植物生态学报 31, 445-450.
[17]	罗佳竺 (2012). 瑞安市海洋地质灾害研究与对策. 硕士论文. 北京: 中国地质大学. pp. 7-8.
[18]	孟睿, 何连生, 过龙根, 席北斗, 李中强, 舒俭民, 刁晓君, 李必才 (2013). 长江中下游草型湖泊浮游植物群落及其与环境因子的典范对应分析. 环境科学 34, 2588-2596.
[19]	彭少麟, 周厚诚 (1999). 鼎湖山地带性植被种间联结变化研究. 植物学报 41, 1239-1244.
[20]	钱逸凡, 伊力塔, 钭培民, 朱国亮, 应宝根, 余树全 (2012). 浙江缙云公益林生物量及固碳释氧效益. 浙江农林大学学报 29, 257-264.
[21]	钱逸凡, 伊力塔, 张超, 余树全, 沈露, 彭冬琴, 郑超超 (2013). 浙江省中部地区公益林生物量与碳储量. 林业科学 49(5), 17-23.
[22]	商天其, 郑超超, 高洪娣, 叶诺楠, 伊力塔 (2015). 嵊州市公益林群落数量分类、排序及环境解析. 热带亚热带植物学报 3, 334-342.
[23]	沈泽昊, 张新时 (2000). 基于植物分布地形格局的植物功能型划分研究. 植物学报 42, 1190-1196.
[24]	沈泽昊, 张新时, 金义兴 (2000). 三峡大老岭森林物种多样性的空间格局分析及其地形解释. 植物学报 42, 620-627.
[25]	孙军, 刘东艳 (2014). 多样性指数在海洋浮游植物研究中的应用. 海洋学报 26, 62-75.
[26]	王伯荪, 李鸣光, 彭少麟 (1995). 植物种群学. 广州: 广东高等教育出版社. pp. 132-148.
[27]	王晶, 张钦弟, 许强, 张文静, 毕润成 (2016). 山西庞泉沟银露梅群落物种多样性的海拔格局. 植物学报 51, 335-342.
[28]	王世杰, 李阳兵, 李瑞玲 (2003). 喀斯特石漠化的形成背景、演化与治理. 第四纪研究 23, 657-666.
[29]	闫淑君, 洪伟, 洪滔, 吴承祯 (2006). 万木林中亚热带常绿阔叶林物种多样性林隙梯度变化. 应用生态学报 17, 947-950.
[30]	伊力塔, 严晓素, 余树全, 包春泉, 屠永海, 潘昌尧 (2012). 浙江省不同森林类型林分健康指标体系. 南京林业大学学报(自然科学版) 36, 145-148.
[31]	袁位高 (2009). 浙江省生态公益林主要群落结构的比较研究. 北京: 中国林业科学研究院. pp. 1-3.
[32]	岳明, 张林静, 党高弟, 辜天琪 (2002). 佛坪自然保护区植物群落物种多样性与海拔梯度的关系. 地理科学 22, 349-354.
[33]	张桂萍, 张峰, 茹文明 (2006). 山西绵山植被木本植物优势种群种间关联. 生态学杂志 25, 295-298.
[34]	张华柳, 伊力塔, 余树全, 余小龙, 陈亚峰, 张朋伟 (2011). 嵊州市公益林生物量及生态效益价值评价. 林业资源管理 1, 78-85.
[35]	张金屯 (1995). 植被数量生态学方法. 北京: 中国科学技术出版社. pp. 58-67.
[36]	张明霞, 王得祥, 康冰, 张岗岗, 刘璞, 杜焰玲, 于飞 (2015). 秦岭华山松天然次生林优势种群的种间联结性. 林业科学 51, 13-21.
[37]	郑超超, 伊力塔, 余树全, 廖文海, 钱逸凡 (2013). 浙江江山公益林群落生物多样性与稳定性. 东北林业大学学报 41(11), 31-35.
[38]	郑超超, 伊力塔, 张超, 余树全, 库伟鹏, 钱逸凡, 凌骅 (2015). 浙江江山公益林物种种间关系及CCA排序. 生态学报 35, 7511-7521.
[39]	郑元润 (1998). 大青沟森林植物群落物种多样性研究. 生物多样性 6, 191-196.
[40]	周先叶, 王伯荪, 李鸣光, 昝启杰 (2000). 广东黑石顶自然保护区森林次生演替过程中群落的种间联结性分析. 植物生态学报 24, 332-339.
[41]	朱彦鹏, 梁军, 孙志强, 姜明媛, 吴晓明, 张耀星 (2013). 昆嵛山森林群落数量分类、排序及多样性垂直格局. 林业科学 49(4), 54-61.
[42]	Brian JL, Kasarda B (1977). Contemporary Urban Ecology. New York: Macmillan. pp. 95-113.
[43]	Clark DB, Palmer MW, Clark DA (1999). Edaphic factors and the landscape—scale distributions of tropical rain forest trees.Ecology 80, 2662-2675.
[44]	Forman RTT (1995). Land Mosaics: the Ecology of Lands- capes and Regions. Cambridge: Cambridge University Press. pp. 133-142.
[45]	Henriques RPB, Hay JDV (1998). The plant communities of a foredune in southeastern Brazil.Can J Bot 76, 1323-1330.
[46]	Hurlbert SH (1969). A coefficient of interspecific association.Ecology 50, 1-9.
[47]	Peet RK (1974). The measurement of species diversity. Annu Rev Ecol System 5, 285-307.
[48]	Pielou EC (1975). Ecology Diversity. New York: J. Wiley and Sons. pp. 62-82.
[49]	Rad JE, Manthey M, Mataji A (2009). Comparison of plant species diversity with different plant communities in deci- duous forests.Inter J Environ Sci Technol 6, 389-394.
[50]	Routledge RD (1979). Diversity indices: which ones are ad- missible?J Theor Biol 76, 503-515.
[51]	Swanson FJ, Kratz TK, Caine N, Woodmansee RG (1988). Landform effects on ecosystem patterns and processes: geomorphic features of the earth’s surface regulate the distribution of organisms and processes. BioScience 38(2), 92-98.
[52]	Wilsey BJ, Potvin C (2000). Biodiversity and ecosystem functioning: importance of species evenness in an old fie- ld.Ecology 81, 887-892.
[53]	Woodward FI, Mckee IF (1991). Vegetation and climate.Environ Inter 17, 535-546.

Layer	Number	Species	Importance value	Number	Species	Importance value
Tree	1	Pinus massoniana	30.1251	48	Syzygium buxifolium	2.6616
	2	Cunninghamia lanceolata	19.1471	49	Camellia oleifera	2.6044
	3	Cryptomeria fortunei	11.7255	50	Pinus massoniana	2.4924
	4	Phyllostachys heterocycla	10.4433	51	Camellia sinensis	2.3143
	5	Schima superba	6.4891	52	Pleioblastus amarus	2.1880
	6	Lithocarpus glaber	2.7277	53	Smilax china	2.1092
	7	Liquidambar formosana	2.5786	54	Smilax sieboldii	1.9226
	8	Cyclobalanopsis glauca	2.1817	55	Mallotus japonicus	1.8279
	9	Castanopsis sclerophylla	2.0855	56	Liquidambar formosana	1.7230
	10	Castanopsis eyrei	1.5263	57	Litsea cubeba	1.6368
	11	Symplocos sumuntia	1.4795	58	Schima superba	1.4864
	12	Myrica rubra	1.0891	59	Rubus phoenicolasius	1.1355
	13	Eurya japonica	0.8298	60	Cyclobalanopsis glauca	0.9140
	14	Pinus taiwanensis	0.8262	61	Symplocos stellaris	0.8884
	15	Machilus thunbergii	0.7395	62	Rubus buergeri	0.7625
	16	Ilex chinensis	0.6225	63	Camellia japonica	0.7053
	17	Toxicodendron succedaneum	0.4550	64	Castanopsis sclerophylla	0.6913
	18	Cinnamomum camphora	0.4451	65	Toxicodendron succedaneum	0.6529
	19	Litsea cubeba	0.3609	66	Trachelospermum jasminoides	0.5940
	20	Vernicia montana	0.3327	67	Adinandra millettii	0.5748
	21	Ulmus pumila	0.3149	68	Dendrocalamopsis oldhami	0.5642
	22	Camellia japonica	0.2716	69	Cryptomeria fortunei	0.5083
	23	Elaeocarpus decipiens	0.2526	70	Lindera aggregata	0.4966
	24	Loropetalum chinense	0.2059	71	Rubus xanthocarpus	0.4675
	25	Ficus microcarpa	0.2039	72	Quercus fabri	0.4185
	26	Mallotus japonicus	0.1838	73	Myrica rubra	0.4185
	27	Cyclobalanopsis myrsinifolia	0.1728	74	Lespedeza bicolor	0.4092
	28	Eucalyptus camaldulensis	0.1678	75	Pinus taiwanensis	0.4092
	29	Diospyros kaki	0.1445	76	Rosa laevigata	0.4092
	30	Rhus chinensis	0.1296	77	Rhus chinensis	0.3742
	31	Albizia kalkora	0.1260	78	Neocinnamomum chekiangense	0.3602
	32	Paulownia tomentosa	0.1199	79	Osmanthus fragrans	0.3509
	33	Machilus leptophylla	0.1132	80	Glochidion puberum	0.3101
	34	Adinandra millettii	0.1109	81	Ulmus pumila	0.3019
	35	Quercus fabri	0.1099	82	Gardenia jasminoides	0.2985
Shrub	36	Eurya japonica	13.5139	83	Vernicia fordii	0.2845
	37	Rhododendron simsii	7.6406	84	Toxicodendron sylvestre	0.2553
	38	Loropetalum chinense	5.6483	85	Eucalyptus camaldulensis	0.2437
	39	Phyllostachys heteroclada	5.5905	86	Diospyros kaki	0.2437
	40	Cunninghamia lanceolata	4.3673	87	Dalbergia hupeana	0.2145
	41	Symplocos sumuntia	4.3183	88	Photinia serratifolia	0.2029
	42	Brachystachyum densiflorum	4.3177	89	Melia azedarach	0.1655
	43	Castanopsis eyrei	3.6525	90	Phyllostachys edulis	0.1655
	44	Vaccinium bracteatum	3.3764	91	Pinus elliottii	0.1655
	45	Lithocarpus glaber	3.1092	92	Machilus leptophylla	0.1364
	46	Ilex chinensis	3.0220	93	Lindera glauca	0.1073
	47	Smilax corbularia	2.7980	94	Phoebe sheareri	0.1073
Herb	95	Osmunda japonica	60.1798	105	Boehmeria nivea	0.6881
	96	Dryopteris fuscipes	6.8201	106	Dicranopteris pedata	0.5281
	97	Miscanthus floridulus	6.7660	107	Juncus setchuensis	0.3454
	98	Cyperus difformis	6.5565	108	Onychium japonicum	0.2944
	99	Imperata cylindrica	4.9332	109	Pteris dispar	0.2816
	100	Miscanthus sinensis	4.0732	110	Carex brunnea	0.1684
	101	Polytrichum sp.	3.7467	111	Woodwardia japonica	0.1472
	102	Pueraria montana	1.7609	112	Boehmeria spicata	0.1472
	103	Diplopterygium glaucum	1.4828	113	Yucca gloriosa	0.1387
	104	Chrysanthemum indicum	0.8028	114	Lygodium japonicum	0.1387

Layer	Number	Species	Importance value	Number	Species	Importance value
Tree	1	Pinus massoniana	30.1251	48	Syzygium buxifolium	2.6616
	2	Cunninghamia lanceolata	19.1471	49	Camellia oleifera	2.6044
	3	Cryptomeria fortunei	11.7255	50	Pinus massoniana	2.4924
	4	Phyllostachys heterocycla	10.4433	51	Camellia sinensis	2.3143
	5	Schima superba	6.4891	52	Pleioblastus amarus	2.1880
	6	Lithocarpus glaber	2.7277	53	Smilax china	2.1092
	7	Liquidambar formosana	2.5786	54	Smilax sieboldii	1.9226
	8	Cyclobalanopsis glauca	2.1817	55	Mallotus japonicus	1.8279
	9	Castanopsis sclerophylla	2.0855	56	Liquidambar formosana	1.7230
	10	Castanopsis eyrei	1.5263	57	Litsea cubeba	1.6368
	11	Symplocos sumuntia	1.4795	58	Schima superba	1.4864
	12	Myrica rubra	1.0891	59	Rubus phoenicolasius	1.1355
	13	Eurya japonica	0.8298	60	Cyclobalanopsis glauca	0.9140
	14	Pinus taiwanensis	0.8262	61	Symplocos stellaris	0.8884
	15	Machilus thunbergii	0.7395	62	Rubus buergeri	0.7625
	16	Ilex chinensis	0.6225	63	Camellia japonica	0.7053
	17	Toxicodendron succedaneum	0.4550	64	Castanopsis sclerophylla	0.6913
	18	Cinnamomum camphora	0.4451	65	Toxicodendron succedaneum	0.6529
	19	Litsea cubeba	0.3609	66	Trachelospermum jasminoides	0.5940
	20	Vernicia montana	0.3327	67	Adinandra millettii	0.5748
	21	Ulmus pumila	0.3149	68	Dendrocalamopsis oldhami	0.5642
	22	Camellia japonica	0.2716	69	Cryptomeria fortunei	0.5083
	23	Elaeocarpus decipiens	0.2526	70	Lindera aggregata	0.4966
	24	Loropetalum chinense	0.2059	71	Rubus xanthocarpus	0.4675
	25	Ficus microcarpa	0.2039	72	Quercus fabri	0.4185
	26	Mallotus japonicus	0.1838	73	Myrica rubra	0.4185
	27	Cyclobalanopsis myrsinifolia	0.1728	74	Lespedeza bicolor	0.4092
	28	Eucalyptus camaldulensis	0.1678	75	Pinus taiwanensis	0.4092
	29	Diospyros kaki	0.1445	76	Rosa laevigata	0.4092
	30	Rhus chinensis	0.1296	77	Rhus chinensis	0.3742
	31	Albizia kalkora	0.1260	78	Neocinnamomum chekiangense	0.3602
	32	Paulownia tomentosa	0.1199	79	Osmanthus fragrans	0.3509
	33	Machilus leptophylla	0.1132	80	Glochidion puberum	0.3101
	34	Adinandra millettii	0.1109	81	Ulmus pumila	0.3019
	35	Quercus fabri	0.1099	82	Gardenia jasminoides	0.2985
Shrub	36	Eurya japonica	13.5139	83	Vernicia fordii	0.2845
	37	Rhododendron simsii	7.6406	84	Toxicodendron sylvestre	0.2553
	38	Loropetalum chinense	5.6483	85	Eucalyptus camaldulensis	0.2437
	39	Phyllostachys heteroclada	5.5905	86	Diospyros kaki	0.2437
	40	Cunninghamia lanceolata	4.3673	87	Dalbergia hupeana	0.2145
	41	Symplocos sumuntia	4.3183	88	Photinia serratifolia	0.2029
	42	Brachystachyum densiflorum	4.3177	89	Melia azedarach	0.1655
	43	Castanopsis eyrei	3.6525	90	Phyllostachys edulis	0.1655
	44	Vaccinium bracteatum	3.3764	91	Pinus elliottii	0.1655
	45	Lithocarpus glaber	3.1092	92	Machilus leptophylla	0.1364
	46	Ilex chinensis	3.0220	93	Lindera glauca	0.1073
	47	Smilax corbularia	2.7980	94	Phoebe sheareri	0.1073
Herb	95	Osmunda japonica	60.1798	105	Boehmeria nivea	0.6881
	96	Dryopteris fuscipes	6.8201	106	Dicranopteris pedata	0.5281
	97	Miscanthus floridulus	6.7660	107	Juncus setchuensis	0.3454
	98	Cyperus difformis	6.5565	108	Onychium japonicum	0.2944
	99	Imperata cylindrica	4.9332	109	Pteris dispar	0.2816
	100	Miscanthus sinensis	4.0732	110	Carex brunnea	0.1684
	101	Polytrichum sp.	3.7467	111	Woodwardia japonica	0.1472
	102	Pueraria montana	1.7609	112	Boehmeria spicata	0.1472
	103	Diplopterygium glaucum	1.4828	113	Yucca gloriosa	0.1387
	104	Chrysanthemum indicum	0.8028	114	Lygodium japonicum	0.1387

Environmental factors	Axis 1	Axis 2	Axis 3	Axis 4
Elevation	0.7595*	-0.1964	0.1744	0.0626
Slope	-0.2506	-0.6853*	-0.1253	0.0902
Aspect	-0.1357	-0.1096	0.6827*	0.0054
Position	0.3322	0.0569	0.0666	0.5886*
Eigenvalues	0.2900	0.1980	0.1110	0.1070
Species-environment correlations	0.8200	0.7410	0.7000	0.6500
Cumulative percentage variance of species-environment relation (%)	41.00	69.10	84.40	100.00

Environmental factors	Axis 1	Axis 2	Axis 3	Axis 4
Elevation	0.7595*	-0.1964	0.1744	0.0626
Slope	-0.2506	-0.6853*	-0.1253	0.0902
Aspect	-0.1357	-0.1096	0.6827*	0.0054
Position	0.3322	0.0569	0.0666	0.5886*
Eigenvalues	0.2900	0.1980	0.1110	0.1070
Species-environment correlations	0.8200	0.7410	0.7000	0.6500
Cumulative percentage variance of species-environment relation (%)	41.00	69.10	84.40	100.00

Index	Shannon-Wiener			Simpson			Pielou
Layer	Tree	Shrub	Herb	Tree	Shrub	Herb	Tree	Shrub	Herb
Mean	1.885	2.871	1.460	0.548	0.759	0.491	0.832	1.114	0.815
SE	0.257	0.298	0.159	0.066	0.050	0.054	0.098	0.062	0.075

浙江瑞安公益林群落结构及其与环境的相关性

Vegetation Structure and Internal Relationship Between Distribution Patterns of Vegetation and Environment in Ecological Service Forest of Rui’an City in Zhejiang Province

RichHTML

PDF (PC)

可视化

被引次数

摘要/Abstract

引用本文

使用本文

图/表 13

参考文献 53

相关文章 0

编辑推荐

Metrics

本文评价

Test methods	Positive correlations			Negative correlations			None correlations
χ²	P<0.01	0.01<P<0.05	P>0.05	P<0.01	0.01<P<0.05	P>0.05	ad=bc
χ²-test	7	4	33	0	1	21	0
AC	AC≥0.60	0.20≤AC<0.60	0.05≤AC<0.20	AC≤-0.60	-0.60≤AC<-0.20	-0.20≤AC<-0.05	-0.05≤AC<0.05
AC values	2	17	10	3	11	5	18
PC	PC≥0.7	0.4≤PC<0.7	0.2≤PC<0.4	-	-	-	0≤PC<0.2
PC values	0	4	30	-	-	-	10