Spatial Distribution Pattern and Interspecific Association of the Dominant Populations in Wetland Ecological System Enclosed by Extremely Dry Desert Region in Dunhuang Xihu, Gansu, China

doi:10.7522/j.issn.1000-694X.2013.00049

JOURNAL OF DESERT RESEARCH

2013, Vol. 33

Issue (2): 349-357 DOI: 10.7522/j.issn.1000-694X.2013.00049

Biology and Soil

Spatial Distribution Pattern and Interspecific Association of the Dominant Populations in Wetland Ecological System Enclosed by Extremely Dry Desert Region in Dunhuang Xihu, Gansu, China

ZHANG Jin1, CHEN Wen-ye2, ZHANG Ji-qiang2, ZHAO Ming2, WU San-xiong1, WANG Zhi-guang1, YUAN Hai-feng1, DOU Ying-jie1, KANG Jian-jun2, LUO Wen-li2

1.Administrative Bureau of Gansu Dunhuang Xihu National Nature Reserve, Dunhuang 736200, Gansu, China；
2.Gansu Forestry Science and Technology Research Academy, Lanzhou 730020, China

Download:

PDF (1728KB)
Export: BibTeX | EndNote (RIS)

Abstract

Based on the data at 25 sample plots, 375 quadrats and 150 lines transect, with 8 indices including diffusion coefficient (C), negative binomial parameters (K), average crowded degree (m*), index of clumping (I), index of patchiness (PI), Green index (GI), Cassie index (CA) , Moristia index (Iδ) and analysis method of variance percentage (VR), we investigated the spatial distribution pattern, aggregation intensity and the overall correlation among the species of dominant populations in Gansu Dunhuang xihu desert wetland ecosystems. The results showed that: (1) Distributions of the 8 dominant populations were aggregated distribution (p<0.05). Among them, Tamarix ramosissima, Tamarixramosissima sandbagscommunity and Populus euphratica community had higher degree of aggregation, however, the community of Alhagi sparsifolia and Phragmites australis showed an opposite trend. (2) Dominant populations of tree (shrub) layer were aggregated distribution (p<0.05). (3) Dominant populations were all aggregated distribution with the change of elevation (p<0.05). With the raising of elevation, the aggregation intensity of population was increased, but the aggregation degree of population was relatively smooth. (4) The bond among the main species of tree (shrub) layer showed a significant positive correlation, and the bond among the dominant populations of trees, brushes and grasses and herb layer showed significant negative correlation (p<0.05). Meanwhile, the 2×2 contingency table of chi-square statistics, association coefficient (AC), percentage of co-occurrence (PC) and other methods were applied to analyze the correlation and aggregation intensity among the species. The results further showed that correlation among most dominant populations was not significant (p>0.05) in the study area, the population logarithm with no significant (p>0.05) correlation was more than that of population Logarithm with significant correlation, and logarithm with significant negative correlation were more than that of population logarithm with significant positive correlation (p<0.05). This result showed that requirements of populations to habitat and resource were different (p<0.05), and had the same results with variance ratio (VR) by testing of the overall correlation; the dominant species in the community were in unstable stage.

Key words: Dunhuang dominant population spatial distribution pattern aggregation intensity interspecific association ecosystem

Received: 20 September 2012 Published: 26 October 2012

ZTFLH:

Q948.15



	Articles by authors
	ZHANG Jin1
	CHEN Wen-ye2
	ZHANG Ji-qiang2
	ZHAO Ming2
	WU San-xiong1
	WANG Zhi-guang1
	YUAN Hai-feng1
	DOU Ying-jie1
	KANG Jian-jun2
	LUO Wen-li2

Cite this article:

ZHANG Jin1, CHEN Wen-ye2, ZHANG Ji-qiang2, ZHAO Ming2, WU San-xiong1, WANG Zhi-guang1, YUAN Hai-feng1, DOU Ying-jie1, KANG Jian-jun2, LUO Wen-li2. Spatial Distribution Pattern and Interspecific Association of the Dominant Populations in Wetland Ecological System Enclosed by Extremely Dry Desert Region in Dunhuang Xihu, Gansu, China. JOURNAL OF DESERT RESEARCH, 2013, 33(2): 349-357.

URL:

http://www.desert.ac.cn/EN/10.7522/j.issn.1000-694X.2013.00049 OR http://www.desert.ac.cn/EN/Y2013/V33/I2/349

[1]马万里,荆涛,罗菊春,等.长白山林区核桃楸种群分布格局研究[J].内蒙古师范大学学报（自然科学汉文版）,2008,37（2）:233-236.

[2]杨晓东,吕光辉,张雪梅,等.艾比湖湿地自然保护区8个乔灌木种群空间分布格局分析[J].植物资源与环境学报,2010,19（4）:37-42.

[3]张金屯.植物种群空间分布的点格局分析[J].植物生态学报,1998,22（4）:344-349.

[4]吴晓莆,郑豫,马克平.北京东灵山地区辽东栎、大叶白蜡和五角枫种群分布格局与动态[J].植物学报,2002,44（2）:212-223.

[5]李鹏远,程积明,万惠娥,等.云雾山自然保护区优势植物种群分布格局的分形特征[J].生态学报,2008,28（10）:5161-5165.

[6]王鹏,陈丽华,卞西陈,等.北沟林场天然次生林群落结构与种群分布格局[J].应用生态学报,2011,22（7）:1668-1674.

[7]Pielou E C.Mathematical Ecology[M].New York:Wiley-Inter Science,1985:84-193.

[8]尹克林,李涛.塔里木河中下游地区荒漠河岸林群落种间关系分析[J].植物生态学报,2005,29（2）:226-234.

[9]祝燕,白帆,刘海丰,等.北京暖温带次生林种群分布格局与种间空间关联性[J].生物多样性,2011,19（2）:252-259.

[10]郭忠玲,马元丹,郑金萍,等.长白山落叶阔叶混交林的物种多样性、种群空间分布格局及种间关联性研究[J].应用生态学报,2004,15（11）:2013-2018.

[11]Dale M R T.Spatial Pattern Analysis in Plant Ecology[M].Cambridge:Cambric University Press,1999:31-49.

[12]Perelman S B R,Leon J C,Oesterheld M.Cross-scale vegetation patterns of Flooding Pampa grasslands[J].Journal of Ecology,2001,89（4）:562-577.

[13]胡尔查,王晓江,刘永宏,等.乌拉山自然保护区油松种群结构与分布格局研究[J].林业科学研究,2011,24（3）:363-369.

[14]张文辉,王延平,康永祥,等.太白山太白红杉种群空间分布格局研究[J].应用生态学报,2005,16（2）:207-212.

[15]韩路,王海珍,彭杰,等.塔里木河上游天然胡杨林种群空间分布格局与动态研究[J].西北植物学报,2007,27（8）:1668-1673.

[16]田桂泉,王子文.科尔沁沙地松树山地区苔藓植物物种多样性与分布特征分析[J].中国沙漠,2011,31（5）:1181-1188.

[17]李建民,谢芳,陈存及,等.光皮桦天然林群落优势种群的种间联结性研究[J].应用生态学报,2001,12（2）:168-170.

[18]吕朝燕,张希明,刘国军,等.准噶尔盆地西北缘梭梭种群结构和空间格局特征[J].中国沙漠,2012,32（2）:380-387.

[19]于军,王海珍,陈加利,等.塔里木河流域荒漠河岸林胡杨群落的空间格局研究[J].中国沙漠,2011,31（4）:913-918.

[20]张雷,王晓江,胡尔查,等.科尔沁沙地蒙古黄榆种群结构与空间分布格局[J].中国沙漠,2011,31（1）:115-120.

[21]杨慧,娄安如,高益军,等.北京东灵山地区白桦种群生活史特征与空间分布格局[J].植物生态学报,2007,31（2）:272-282.

[22]康华靖,陈子林,刘鹏,等.大盘山自然保护区香果树种群结构与分布格局[J].生态学报,2007,27（1）:389-396.

[23]张继义,赵哈林.科尔沁沙地草地植被恢复演替进程中群落优势种群空间分布格局研究[J].生态学杂志,2004,23（2）:1-6.

[24]杨晓东,吕光辉,张雪梅,等.艾比湖湿地自然保护区8个乔灌木种群空间分布格局分析[J].植物资源与环境学报,2010,19（4）:37-42.

[25]吴三雄,袁海峰.甘肃省敦煌国家级自然保护区科学考察报告[M].北京:中国林业出版社,2010:38-50.

[26]郑姚闽,崔国发,雷霆,等.甘肃敦煌西湖多枝柽柳群落特征和种群格局[J].北京林业大学学报,2010,32（4）:34-44.

[27]戚登臣,陈文业,张继强,等.敦煌西湖湿地生态系统现状、退化原因及综合修复对策[J].草业学报,2010,19（4）:194-203.

[28]刘迺发.甘肃敦煌自然保护区科学考察[M].北京:中国林业出版社,2001.

[29]刘旻霞.敦煌西湖自然保护区生物多样性特征及生境质量评价[J].干旱区资源与环境,2009,23（2）:171-174.

[30]卢琦,李新荣,肖洪浪.荒漠生态系统观测方法[M].北京:中国环境科学出版社,2004:66-75.

[31]张金屯.数量生态学[M].北京:科学出版社,2004:87.

[32]周纪伦.植物种群生态学[M].北京:高等教育出版社,1993:96-115.

[33]党海山,江明喜,田玉强,等.后河自然保护区珍稀植物群落主要种群结构及分布格局研究[J].应用生态学报,2004,15（12）:2206-2210.

[34]Chen Y,Wang Q,Li W H,et al.Rational groundwater table indicated by the eco-physiological parameters of the vegetation:A case study of ecological restoration in the lower reaches of the Tarim River[J].Chinese Science Bulletin,2006,51（Supp.1）:15-18.

[35]周洪华,陈亚宁,李卫红.塔里木河下游绿洲-荒漠过渡带植物多样性特征及优势种群分布格局[J].中国沙漠,2009,29（4）:688-696.

[36]范繁荣,潘标志,马祥庆,等.白桂木的种群结构和空间分布格局研究[J].林业科学研究,2008,21（2）:176-181.

[37]姜俊,赵秀海.吉林蛟河针阔混交林群落优势种群种间联结性[J].林业科学,2011,47（12）:149-152.

[38]胡楠,范玉龙,丁圣彦.伏牛山森林生态系统灌木植物功能群分类[J].生态学报,2009,29（8）:4017-4025.

[39]李吉玫,徐海量,张青青,等.塔里木河下游荒漠河岸林不同退化区胡杨种群结构和空间分布格局研究[J].中国沙漠,2009,29（5）:897-904.

[40]王乃江,习世红,周秦生,等.子午岭桥山林区柴松群落主要种群种间联结性研究[J].西北植物学报,2010,30（4）:645-651.

No Suggested Reading articles found!

Viewed

Full text

Abstract

Cited

Shared

Discussed