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Competition between two submersed aquatic macrophytes, Potamogeton pectinatus and Potamogeton gramineus, across a light gradient.

机译:两种浸没水生植物 Potamogeton pectinatus 和 Potamogeton gramineus 之间的竞争在光梯度上进行。

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摘要

Competitive abilities of Potamogeton pectinatus L. and Potamogeton gramineus L. were estimated using additive series experiments at across a gradient of total daily irradiance ranging from 1.2 to 9.7 mol m-2 day-1. Results for P. gramineus showed that its mean weight per plant was reduced more by the presence of other P. gramineus plants than by changes in the density of P. pectinatus. However, the difference was statistically significant only at the higher light levels examined. In the case of P. pectinatus, P. gramineus exerted a stronger impact on P. pectinatus plants than did other P. pectinatus plants. Coefficients representing interspecific competition were significantly greater than those representing intraspecific competition at higher light levels. These results indicate that P. gramineus was a stronger competitor when light levels were high. They further indicate that at low light levels, there was little evidence that competition was a strong force in determining either species performance. These results support a theory offered by Grime. However, it was possible to predict that P. gramineus would be a stronger competitor based on its light compensation point which was lower than the one for P. pectinatus. This demonstrates the utility of the R* approach proposed by Tilman. Aspects of both approaches may aid ecologists in understanding community structure.
机译:使用添加系列实验,在日总辐照度范围为1.2至9.7 mol m 的梯度范围内,估算了果蝇(Potamogeton pectinatus L.)和禾本科(Potamogeton gramineus)L.的竞争能力。 -2 天 -1 。 P的结果。禾本科植物表明,由于存在其他 P,其单株平均体重降低了更多。禾本科植物比 P的密度变化大。眼镜。但是,仅在所检查的较高光照水平下,差异才具有统计学意义。对于 P。 pectinatus , P。禾本科对 P的影响更大。 pectinatus 植物比其他 P。 pectinatus 植物。代表种间竞争的系数显着大于代表种内竞争在较高光照水平下的系数。这些结果表明 P。光照水平较高时,禾本科是更强的竞争者。他们进一步指出,在弱光条件下,几乎没有证据表明竞争是决定这两种物种表现的强大力量。这些结果支持了Grime提供的理论。但是,可以预测 P。禾本科动物的光补偿点低于 P的光照补偿点,因此将成为更强大的竞争对手。眼镜。这证明了Tilman提出的R *方法的实用性。两种方法的各个方面都可以帮助生态学家理解社区结构。

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