Pipan T, Christman MC, Culver DC (2006) Dynamics of epikarst communities: microgeographic pattern and environmental determinants of epikarst copepods in Organ Cave, West Virginia.The American Midland Naturalist, 156, 75-87.
Peng SM (彭仕梅), Li DH (黎道洪), Wu QH (武秋红), Ba JW (巴家文) (2008) The preliminary study on cave animal communities diversity in Hebian and Shuijianshang caves in Guangxi.
Loranger GI, Pregitzer KS, King JS (2004) Elevated CO2 and O3t concentrations differentially affect selected groups of the fauna in temperate forest soils.Soil Biology and Biochemistry, 36, 1521-1524.
Li H (李慧), Jiang PA (蒋平安), Cheng LM (程路明), Jia HT (贾宏涛), Dong ZH (董自红) (2006) Impacts of fencing on soil animals diversity beneath mountainous lawn vegetation in Xinjiang.Arid Land Geography(干旱区地理), 29, 538-542. Li DH (黎道洪), Luo R (罗蓉) (2001) Study of the relationship between the animal community structure and distribution and part of environmental factors in Longdong Cave of Guizhou Province. Li DH (黎道洪) (2006b) Study on correlation between fauna structure and some environmental factors in Shuiba Cave, Guizhou Province.Carsologica Sinica(中国岩溶), 25, 256-262. Li DH (黎道洪) (2006a) Correlation between the animal community structure and environmental factors in Dongbei Cave and Shuijiang Cave of Guizhou Province.Zoological Research(动物学研究), 27, 481-488. Li DH (黎道洪) (2007) Study on Karst Cave Animal in Guizhou Province (贵州喀斯特洞穴动物研究). Hakanson L (1980) An ecological risk index for acquatic pollution control: a sedimentological approach.Water Research, 14, 975-1001. (in Chinese with English abstract)įerreira RL, Martins RP (1998) Diversity and distribution of spiders associated with bat guano piles in Morrinho Cave (Bahia State, Brazil).Diversity and Distributions, 4, 235-241.įrouz J, Pižl V, Cienciala E, Kalčík J (2009) Carbon storage in post-mining forest soil, the role of tree biomass and soil bioturbation.Biogeochemistry, 94, 111-121. (in Chinese with English abstract)Ĭai LM (蔡立梅), Ma J (马瑾), Zhou YZ (周永章), Huang LC (黄兰椿), Dou L (窦磊), Zhang CB (张澄博), Fu SM (付善明) (2008) Multivariate geostatistics and GIS-based approach to study the spatial distribution and sources off heavy metals in agricultural soil in the Pearl River Delta, China.Environmental Science(环境科学), 29, 3496-3502. Table 1 Animal species (group) composition and relative individual numbers in Zhijin Cave, Guizhou Province 种或类群 Species or groupĪn YG (安裕国), Rong KF (戎昆方), Li JY (李景阳), He FS (何复胜) (1996) A study on biogeological process in karst caves: an example from Zhijin Cave of Guizhou.Guizhou Geology(贵州地质), 13, 203-208. As far as the average potential ecological risk level ( RI=192.714) of six heavy metals were concerned, the cave was contaminated at a certain degree with heavy metals. Although Cu, Zn, Ni, Cr, As in soils were at ecologically low levels, Hg pollution was relatively high in the whole cave and at especially severe level of ecological risk ( E r i=256.000) in the light zone of cave entrance. Organic matter of soil, content of CO 2 in the air, cave humidity, cave temperature, and heavy metal contamination of soil were the dominant factors to affect animal community diversity in the cave. Dominant species included Hemiphaedusa pluviatilis and H. The richness and dominance indices of the communities were low, but community diversity and richness tended to decrease based on the order of the light intensity (i.e., light zone>weak-light zone>dark zone). Index of similarity between light zone of entrance and light zone of exit (0.6248) was highest. The highest community diversity, richness index, evenness index, and dominance index were light zone of exit (2.7996), light zone of entrance (4.5399), light zone of exit (0.9196) and weak-light zone of exit (0.1868), respectively. We identified 1,080 specimens, which belong to three phyla, five classes, 26 families and 41 species or groups of species, which could be divided into five communities. We assessed the potential ecological risk degree of heavy metals in the cave based on the Hakanson potential ecological risk index. We used principal components analysis (PCA) to examine the relationships between animal community diversity and environment factors. We investigated the community diversity of cave animals in different light zones of the Guizhou Zhijin Cave in August, 2011.
0 kommentar(er)
