Biotic and Abiotic Controls in River and Stream Communities

Biotic and Abiotic Controls in River and Stream Communities
复制标题

河流和溪流群落的生物和非生物控制

DOI:
10.2307/1467301
复制
发表时间:
1988
影响因子:
--
通讯作者:
I. R. W. D. Badgen
I. R. W. D. Badgen
中科院分区:
--
文献类型:
--
作者:
M. Power;R. J. Stout;C. Cushing;P. P. Harper;F. Hauer;W. J. Matthews;P. Moyle;B. Statzner;I. R. W. D. Badgen

文献摘要

被引文献

相似文献

洛蒂克生态学家的一个主要目标是解释世界河流和溪流中生物群的分布和丰度,并预测这些生物群将如何应对河流生态系统的变化。我们讨论了五个研究领域,这将有助于我们追求这一目标。对于机械的了解,lotic社区动态,我们需要更多的信息:1。在与生物体相关的时间和空间尺度上测量的对海洋生物区系的物理条件。2.激流生物群对排放波动的反应,包括在由洪水或干旱引起的重置后介导群落恢复的过程。3.调节基因流、资源追踪和多层次物种相互作用的流动生物体的运动。4.生活史模式,特别强调决定种群面对环境扰动的脆弱性的个体发育瓶颈。5.河流和溪流中物种相互作用对群落和生态系统水平过程的影响。在我们的评论中,我们不试图全面,我们讨论了我们在这些领域的知识的局限性和局限性。我们还提出了数据类型和技术发展,以促进我们的理解。虽然我们赞赏的价值和需要的经验和比较信息,我们主张寻找关键机制的社区互动的关键一步,发展一般的预测对环境变化的反应。这些机制可能是复杂的,相互作用的双边,或多边,生物和非生物控制的阐明将进展,只有不断综合的社区和生态系统层面的方法在湖泊生态学。
Lotic ecologists share a major goal of explaining the distribution and abundance of biota in the world's rivers and streams, and of predicting how this biota will respond to change in fluvial ecosystems. We discuss five areas of research that would contribute to our pursuit of this goal. For mechanistic understanding of lotic community dynamics, we need more information on: 1. Physical conditions impinging on lotic biota, measured on temporal and spatial scales relevant to the organisms. 2. Responses of lotic biota to discharge fluctuations, including the processes that mediate community recovery following resets caused by spates or droughts. 3. Movements of lotic organisms that mediate gene flow, resource tracking, and multilevel species interactions. 4. Life history patterns, with special emphasis on ontogenetic bottlenecks that determine the vulnerability of populations confronting environmental perturbation. 5. Consequences of species interactions for community- and ecosystem-level processes in rivers and streams. Without attempting to be comprehensive in our review, we discuss limits and limitations of our knowledge in these areas. We also suggest types of data and technological development that would advance our understanding. While we appreciate the value and need for empirical and comparative information, we advocate search for key mechanisms underlying community interactions as the crucial step toward developing general predictions of responses to environmental change. These mechanisms are likely to be complex, and elucidation of interacting bilateral, or multilateral, biotic and abiotic controls will progress only with the continuing synthesis of community- and ecosystem-level approaches in lotic ecology.