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      Hidden effects of habitat restoration on the persistence of pollination networks

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          Abstract

          Past and recent studies have focused on the effects of global change drivers such as species invasions on species extinction. However, as we enter the United Nations Decade of Ecosystem Restoration the aim must switch to understanding how invasive‐species management affects the persistence of the remaining species in a community. Focusing on plant‐pollinator interactions, we test how species persistence is affected by restoration via the removal of invasive plant species. Restoration had a clear positive effect on plant persistence, whereas there was no difference between across treatments for pollinator persistence in the early season, but a clear effect in late season, with higher persistence in unrestored sites. Network structure affected only pollinator persistence, while centrality had a strong positive effect on both plants and pollinators. Our results suggest a hidden effect of invasive plants—although they may compete with native plant species, invasive plants may provide important resources for pollinators, at least in the short term.

          Abstract

          As we enter the United Nations Decade of Ecosystem Restoration the aim must switch to understanding how invasive‐species management affects the persistence of the remaining species in a community. We found that restoration via the removal of invasive plant species has a clear positive effect on plant persistence, whereas for pollinators persistence was higher in unrestored sites in the late season. Our results highlight that network structure may be a useful tool in restoration studies to assess the impact of restoration practices on population dynamics and emphasize a hidden effect of invasive plants‐‐‐although they may compete with native plant species, invasive plants may provide important resources for pollinators.

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          Regularization Paths for Generalized Linear Models via Coordinate Descent

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            R: a language and environment for statistical computing

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              Global effects of land use on local terrestrial biodiversity

              Human activities, especially conversion and degradation of habitats, are causing global biodiversity declines. How local ecological assemblages are responding is less clear--a concern given their importance for many ecosystem functions and services. We analysed a terrestrial assemblage database of unprecedented geographic and taxonomic coverage to quantify local biodiversity responses to land use and related changes. Here we show that in the worst-affected habitats, these pressures reduce within-sample species richness by an average of 76.5%, total abundance by 39.5% and rarefaction-based richness by 40.3%. We estimate that, globally, these pressures have already slightly reduced average within-sample richness (by 13.6%), total abundance (10.7%) and rarefaction-based richness (8.1%), with changes showing marked spatial variation. Rapid further losses are predicted under a business-as-usual land-use scenario; within-sample richness is projected to fall by a further 3.4% globally by 2100, with losses concentrated in biodiverse but economically poor countries. Strong mitigation can deliver much more positive biodiversity changes (up to a 1.9% average increase) that are less strongly related to countries' socioeconomic status.
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                Author and article information

                Contributors
                marilia.gaiarsa@ieu.uzh.ch
                Journal
                Ecol Lett
                Ecol Lett
                10.1111/(ISSN)1461-0248
                ELE
                Ecology Letters
                John Wiley and Sons Inc. (Hoboken )
                1461-023X
                1461-0248
                25 August 2022
                October 2022
                : 25
                : 10 ( doiID: 10.1111/ele.v25.10 )
                : 2132-2141
                Affiliations
                [ 1 ] Department of Evolutionary Biology and Environmental Studies University of Zurich Zurich Switzerland
                [ 2 ] School of Natural Sciences University of California, Merced Merced California USA
                Author notes
                [*] [* ] Correspondence

                Marilia P. Gaiarsa, Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, Zurich 8057, Switzerland.

                Email: marilia.gaiarsa@ 123456ieu.uzh.ch

                Author information
                https://orcid.org/0000-0003-4414-472X
                https://orcid.org/0000-0002-0108-6411
                Article
                ELE14081 ELE-00501-2022
                10.1111/ele.14081
                9804604
                36006740
                76ada2dd-d5b3-47de-a8fa-ae5d25f3e09b
                © 2022 The Authors. Ecology Letters published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 09 December 2021
                : 23 June 2022
                Page count
                Figures: 4, Tables: 0, Pages: 10, Words: 7700
                Funding
                Funded by: Marie Sklodowska‐Curie Actions
                Award ID: 888339
                Funded by: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung , doi 10.13039/501100001711;
                Award ID: 310030_197201
                Categories
                Letter
                Letters
                Custom metadata
                2.0
                October 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.3 mode:remove_FC converted:31.12.2022

                Ecology
                dynamical model,invasive species,modularity,nestedness,network centrality,species interactions
                Ecology
                dynamical model, invasive species, modularity, nestedness, network centrality, species interactions

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