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Restoring stream physical heterogeneity: effects on benthic macroinvertebrates Francesca Pilotto, Lina E. Polvi, Brendan Mckie, Christer Nilsson SFS, 22.

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Presentation on theme: "Restoring stream physical heterogeneity: effects on benthic macroinvertebrates Francesca Pilotto, Lina E. Polvi, Brendan Mckie, Christer Nilsson SFS, 22."— Presentation transcript:

1 Restoring stream physical heterogeneity: effects on benthic macroinvertebrates Francesca Pilotto, Lina E. Polvi, Brendan Mckie, Christer Nilsson SFS, 22 nd May 2016

2 2 Physical heterogeneity  biota Application to stream restoration? Introduction – Study area – RQ – Methods – Results – Conclusions

3 3 Lack of biotic responses to stream restoration Occurrence of other stressors Poor recolonization potential Insufficient restoration measures Inadequate assessments  Planning of new restoration projects and management of restored streams Introduction – Study area – RQ – Methods – Results – Conclusions Physical heterogeneity  biota

4 Study area: Vindel river catchment Vindel river Sweden Umeå Stockholm Sweden Free-flowing river Length: 450 km Catchment area: 12,654 km 2 Glacial legacy sediments Forested catchment Introduction – Study area – RQ – Methods – Results – Conclusions

5 Channelization for timber floating Introduction – Study area – RQ – Methods – Results – Conclusions

6 Rågobäcken – basic restoration (2000s) Basic restoration Introduction – Study area – RQ – Methods – Results – Conclusions

7 Enhanced restoration (year 2010) Introduction – Study area – RQ – Methods – Results – Conclusions

8 PC1 (29%) Data from Polvi et al. 2014, Geomorphology Physical complexity Introduction – Study area – RQ – Methods – Results – Conclusions 29 metrics: sediment distribution, longitudinal profile, cross section, planform, instream wood

9 Research question: Do macroinvertebrate communities respond to increased physical complexity after enhanced stream restoration? Introduction – Study area – RQ – Methods – Results – Conclusions

10 2010201120122015 time Enhanced restoration Methods - Streams with paired reaches with basic (n=4) and enhanced (n=4) restoration - Additional channelized and un-channelized reaches - 4 sampling occasions Introduction – Study area – RQ – Methods – Results – Conclusions

11 B: basic restoration, E: enhanced restoration, Mean ± S.E., pairwise comparison: n.s. Introduction – Study area – RQ – Methods – Results – Conclusions Taxonomic diversity BeforeAfter

12 B: basic restoration, E: enhanced restoration, Mean ± S.E., pairwise comparison: *=p ≤ 0.05 Introduction – Study area – RQ – Methods – Results – Conclusions Taxonomic composition

13 Dispersal traits B: basic restoration, E: enhanced restoration, Mean ± S.E., pairwise comparison: *=p ≤ 0.05 Introduction – Study area – RQ – Methods – Results – Conclusions

14 Correlation with gradient of physical complexity:

15 201120122015 EPT %n.s. +0.77* Diptera %n.s. -0.88* Bivalvia %n.s. +0.77* Xylophages %n.s. +0.73* Filter feeders %n.s.+0.79*+0.77* Scrapers %n.s. -0.78* Fast flows %n.s. -0.80* Aquatic passive %n.s. n.s.(+0.51) Introduction – Study area – RQ – Methods – Results – Conclusions Taxonomic composition Functional composition Correlation with gradient of physical complexity: Pearson´s correlation coefficient, *=p ≤ 0.05

16 201120122015 EPT %n.s. +0.77* Diptera %n.s. -0.88* Bivalvia %n.s. +0.77* Xylophages %n.s. +0.73* Filter feeders %n.s.+0.79*+0.77* Scrapers %n.s. -0.78* Fast flows %n.s. -0.80* Aquatic passive %n.s. n.s.(+0.51) Introduction – Study area – RQ – Methods – Results – Conclusions Taxonomic composition Functional composition Correlation with gradient of physical complexity: Pearson´s correlation coefficient, *=p ≤ 0.05

17 201120122015 EPT %n.s. +0.77* Diptera %n.s. -0.88* Bivalvia %n.s. +0.77* Xylophages %n.s. +0.73* Filter feeders %n.s.+0.79*+0.77* Scrapers %n.s. -0.78* Fast flows %n.s. -0.80* Aquatic passive %n.s. n.s.(+0.51) Taxonomic composition Functional composition Introduction – Study area – RQ – Methods – Results – Conclusions Correlation with gradient of physical complexity: Pearson´s correlation coefficient, *=p ≤ 0.05

18 Introduction – Study area – RQ – Methods – Results – Conclusions Conclusions Benthic macroinvertebrates did respond to increased channel physical complexity Taxonomic and functional composition Responses appeared 5 years after restoration Landscape-scale approach Long-term monitoring

19 BioRest: Local- and landscape-scale effects on biodiversity after stream restoration www.biorest.org francesca.pilotto@umu.se Acknowledgments Collaborators: Lena Kretz, Cloé Lucas, Jelmer Van Doorn Department of Ecology and Environmental Science Umeå University Umeå, Sweden


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