Wang Zhengwen, Zhu Tingcheng
Laboratory of Quantitative Vegetation Ecology, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.
Ying Yong Sheng Tai Xue Bao. 2003 Jun;14(6):892-6.
To investigate the effects of flooding disturbance on the interspecific relationships among grassland plant species, a comparatively thorough study was conducted on Sanjiadian National Rangeland in the territory of Da'an city, Jilin Province, which was partly flooded in 1998. The study site was located in the south of Songnen plain, Northeastern China, dominated by Leymus chinensis grassland. Along the flooding gradients (from un-flooded to heavily flooded) formed on an extensive mild slope taken as the test site, four flooded transects coded T1, T2, T3 and T4 respectively, but subjected to the flood of different durations were designed, and also an un-flooded one coded T0 was set as a control at relatively higher elevation. Before flooding occurred in 1998, the slope had almost uniform soil and L. chinensis dominated vegetation. Contingency table was used to calculate the interspecific association indice, while Spearman rank correlation coefficient was adopted to analyze the interspecific covariance. The results showed that flooding disturbance had little effect on the association type for most species pairs, but had some effect on the rank coefficients of inter-specific co-variation. Different species pairs varied greatly in their responses to the flooding disturbance, suggesting that the inter-specific co-varying relations were not only dependent on environmental perturbation or disturbance factors, but also on (probably to a larger extent) the biological & ecological properties of the species that comprised the species pairs. The interspecific association types that could be determined between Potentilla paradoxa and all the other plant species were always positive, and little affected by flooding disturbance. As a main companion species, P. paradoxa had a broad ecological breadth, and weak selectivity for habitat. Contrarily, the interspecific association types that could be determined between Phragmites australis and others plant species (in addition to Scirpus planiculmis) were always negative, probably due to the biological properties of the plant. P. australis was a kind of clonal plant with long rhizomes, and enlarge its population through vegetative propagation by rhizomes. When in good water conditions, P. australis had a powerful competitive ability, thereby, imposed competitive or exclusive effects on the other plant species, thus formed the negative correlations between the plant and the other, which could be little affected by flooding disturbance. Interspecific covariance was not only influenced by environmental or disturbance factors, but also dependent on the different responses to the changing environments during the disturbances between the component species that comprised the species pairs. The two plant species that had similar and dissimilar water demands would tended to be positive and negative covariance respectively, if water conditions changed towards an extreme. Interspecific covariance based on the numerical properties of the communities were much more sensitive to the external disturbance than the interspecific associations calculated only based on the binary data of "presence or absence of species".
为探究水淹干扰对草地植物物种间种间关系的影响,在吉林省大安市境内的三家店国家级草原开展了一项较为深入的研究,该草原在1998年部分区域被水淹。研究地点位于中国东北松嫩平原南部,以羊草草原为主。在作为试验场地的一片广阔缓坡上形成的水淹梯度(从未水淹到重度水淹)上,分别设计了四个水淹样带,编码为T1、T2、T3和T4,但水淹持续时间不同,同时在相对较高海拔处设置了一个未水淹样带,编码为T0作为对照。1998年水淹发生前,该坡面土壤基本均匀,植被以羊草为主。采用列联表计算种间关联指数,采用Spearman秩相关系数分析种间协变。结果表明,水淹干扰对多数物种对的关联类型影响较小,但对种间协变的秩系数有一定影响。不同物种对水淹干扰的响应差异很大,表明种间协变关系不仅取决于环境扰动或干扰因素,还(可能在很大程度上)取决于构成物种对的物种的生物学和生态学特性。叉叶委陵菜与所有其他植物物种之间可确定的种间关联类型始终为正,且受水淹干扰影响较小。叉叶委陵菜作为主要伴生种,生态幅较宽,对生境选择性较弱。相反,芦苇与其他植物物种(除扁秆藨草外)之间可确定的种间关联类型始终为负,可能是由于该植物的生物学特性。芦苇是一种具有长根茎的克隆植物,通过根茎进行营养繁殖来扩大种群。在水分条件良好时,芦苇具有较强的竞争能力,从而对其他植物物种产生竞争或排斥作用,进而形成该植物与其他植物之间的负相关关系,且这种关系受水淹干扰影响较小。种间协变不仅受环境或干扰因素影响,还取决于构成物种对的组成物种在干扰期间对环境变化的不同响应。如果水分条件趋于极端,对水分需求相似和不同的两种植物物种往往分别趋于正协变和负协变。基于群落数量特征的种间协变比仅基于物种“存在与否”二元数据计算的种间关联对外部干扰更为敏感。