Macroinvertebrate community responses to disturbance in a fragmented river with contrasting legacies of alteration
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Abstract
Flow is a critical factor determining the riverine ecosystem structure and function. Widespread hydrologic alteration, however, has impacted the ecological integrity of rivers in ways that are not well understood, including responses of biological communities to increasingly frequent and severe climatic disturbances. Our study compared the responses of invertebrate communities on woody debris to large flooding and extreme drought in two highly contrasting segments of an impaired low-gradient river. The upstream segment, which according to previous research has higher α-diversity and production of large-bodied and sensitive invertebrates, maintained higher flows and longitudinal connectivity throughout the 4-year study. Communities in this upper segment resembled one another among sites (lower spatial turnover) but experienced greater temporal shifts in composition associated with hydrological disturbances. Conversely, invertebrate communities in the highly altered downstream segment, which is impaired by reduced flow, sedimentation, and hypoxia, were composed of smaller-bodied and pollution-tolerant taxa with lower α-diversity. Unlike the upper segment, communities were patchily distributed among sites (higher spatial turnover), which made it more difficult to detect system-wide temporal variation in composition throughout the study. Our study underscores the benefit of including measures of connectivity and spatial heterogeneity when assessing the ecological integrity of lotic systems. Understanding the system-wide response to disturbances across longer time frames can help better predict and mitigate the impacts of climate change on ecosystem integrity in degraded rivers.
Publication type | Article |
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Publication Subtype | Journal Article |
Title | Macroinvertebrate community responses to disturbance in a fragmented river with contrasting legacies of alteration |
Series title | River Research and Applications |
DOI | 10.1002/rra.4385 |
Edition | Online First |
Year Published | 2024 |
Language | English |
Publisher | Wiley |
Contributing office(s) | Southwest Biological Science Center |
Google Analytic Metrics | Metrics page |