Extreme drought pushes stream invertebrate communities over functional thresholds
Autor: | Aspin, Thomas W. H., Khamis, Kieran, Matthews, Thomas J., Milner, Alexander M., O’Callaghan, Matthew J., Trimmer, Mark, Woodward, Guy, Ledger, Mark E. |
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Přispěvatelé: | Natural Environment Research Council (NERC) |
Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
LIFE-HISTORY
disturbance gradient BIOLOGICAL TRAITS Climate Change Biodiversity & Conservation 05 Environmental Sciences macroinvertebrates Environmental Sciences & Ecology drought AQUATIC MACROINVERTEBRATES Models Biological Rivers Animals Primary Research Article functional traits DISTURBANCE Ecosystem Science & Technology Ecology ecological threshold fungi food and beverages ASSEMBLAGE RESPONSES BENTHIC-MACROINVERTEBRATES RESILIENCE 06 Biological Sciences Primary Research Articles stream drying Biota Invertebrates Droughts TEMPORARY RIVERS Biodiversity Conservation SPECIES TRAITS Life Sciences & Biomedicine Environmental Sciences ECOLOGICAL THRESHOLDS |
Zdroj: | Global Change Biology |
ISSN: | 1365-2486 1354-1013 |
Popis: | Functional traits are increasingly being used to predict extinction risks and range shifts under long‐term climate change scenarios, but have rarely been used to study vulnerability to extreme climatic events, such as supraseasonal droughts. In streams, drought intensification can cross thresholds of habitat loss, where marginal changes in environmental conditions trigger disproportionate biotic responses. However, these thresholds have been studied only from a structural perspective, and the existence of functional nonlinearity remains unknown. We explored trends in invertebrate community functional traits along a gradient of drought intensity, simulated over 18 months, using mesocosms analogous to lowland headwater streams. We modelled the responses of 16 traits based on a priori predictions of trait filtering by drought, and also examined the responses of trait profile groups (TPGs) identified via hierarchical cluster analysis. As responses to drought intensification were both linear and nonlinear, generalized additive models (GAMs) were chosen to model response curves, with the slopes of fitted splines used to detect functional thresholds during drought. Drought triggered significant responses in 12 (75%) of the a priori‐selected traits. Behavioural traits describing movement (dispersal, locomotion) and diet were sensitive to moderate‐intensity drought, as channels fragmented into isolated pools. By comparison, morphological and physiological traits showed little response until surface water was lost, at which point we observed sudden shifts in body size, respiration mode and thermal tolerance. Responses varied widely among TPGs, ranging from population collapses of non‐aerial dispersers as channels fragmented to irruptions of small, eurythermic dietary generalists upon extreme dewatering. Our study demonstrates for the first time that relatively small changes in drought intensity can trigger disproportionately large functional shifts in stream communities, suggesting that traits‐based approaches could be particularly useful for diagnosing catastrophic ecological responses to global change. A growing number of studies are using species' traits to diagnose and predict their responses to long‐term climate change, but few have explored trait sensitivity to extreme climatic events, such as prolonged droughts. We combined a large manipulative flow experiment with traits‐based analyses to elucidate functional responses of stream macroinvertebrate communities to intensifying drought. Drought caused abrupt and pervasive changes in community trait profiles and triggered population collapses of certain functional groups, most notably those comprising non‐flying taxa. Our detection of multiple response thresholds indicates that traits could be valuable functional biomarkers for species‐ and community‐level resistance to extreme disturbance. |
Databáze: | OpenAIRE |
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