期刊论文详细信息
Brazilian Journal of Biology
Species-environment relationship in the herb-subshrub layer of a moist Savanna site, Federal District, Brazil
Cbr. Munhoz2  Jm. Felfili1  C. Rodrigues1 
[1] ,Universidade Católica de BrasíliaTaguatinga Sul DF ,Brazil
关键词: moist grassland;    herbaceous layer;    phytosociology;    line intercept method;    cerrado;    campo limpo úmido;    estrato herbáceo;    fitossociologia;    método de interseção na linha;    cerrado;   
DOI  :  10.1590/S1519-69842008000100005
来源: SciELO
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【 摘 要 】

The soils are seasonally or permanently saturated in the moist grassland savanna, locally known as Campo Limpo Úmido. Soil moisture variation seems to determine spatial distribution of communities. The objective of this study is to analyse the relationship between environmental variables and the patterns of spatial distribution of species in the herbaceous-subshrub layer of an area of moist grassland at the Água Limpa Farm, Brasília, DF (15° 56’ to 15° 59’ S and 47° 55’ to 47° 58’ W Gr.). An area of 400 x 400 m was divided into four sections of 200 x 200 m where four transects were randomly sampled. A line intercept method was adopted for the phytossociological study. Superficial soils samples (0-20 cm) were collected for chemical and textural analyses. Gravimetric soil moisture was measured quarterly during the study-year. A total of 85 species in 67 genera and 24 families were found. The diversity was high, Shannon’s index, H’, was 2.60 nats.cover-1. Floristic composition of the transects in soils with a high gravimetric soil moisture and high content of organic matter and sand differed from those transects in soils with a lower gravimetric soil moisture indicating seasonal variation. A Canonical Correspondence Analysis (CCA) showed significant correlations between soil texture and soil moisture features and species distribution. Gravimetric soil moisture, organic matter, clay, silt and sand were significantly correlated to species distribution in the moist grassland determining mosaics in the vegetation.

【 授权许可】

CC BY   
 All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License

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