Literature DB >> 24669739

Land-use impacts on plant-pollinator networks: interaction strength and specialization predict pollinator declines.

Christiane Natalie Weiner, Michael Werner, Karl Eduard Linsenmair, Nico Blüthgen.   

Abstract

Land use is known to reduce the diversity of species and complexity of biotic interactions. In theory, interaction networks can be used to predict the sensitivity of species against co-extinction, but this has rarely been applied to real ecosystems facing variable land-use impacts. We investigated plant-pollinator networks on 119 grasslands that varied quantitatively in management regime, yielding 25401 visits by 741 pollinator species on 166 plant species. Species-specific plant and pollinator responses to land use were significantly predicted by the weighted average land-use response of each species' partners. Moreover, more specialized pollinators were more vulnerable than generalists. Both predictions are based on the relative interaction strengths provided by the observed interaction network. Losses in flower and pollinator diversity were linked, and mutual dependence between plants and pollinators accelerates the observed parallel declines in response to land-use intensification. Our findings confirm that ecological networks help to predict natural community responses to disturbance and possible secondary extinctions.

Mesh:

Year:  2014        PMID: 24669739     DOI: 10.1890/13-0436.1

Source DB:  PubMed          Journal:  Ecology        ISSN: 0012-9658            Impact factor:   5.499


  32 in total

1.  Museum specimens reveal loss of pollen host plants as key factor driving wild bee decline in The Netherlands.

Authors:  Jeroen Scheper; Menno Reemer; Ruud van Kats; Wim A Ozinga; Giel T J van der Linden; Joop H J Schaminée; Henk Siepel; David Kleijn
Journal:  Proc Natl Acad Sci U S A       Date:  2014-11-24       Impact factor: 11.205

2.  Land-use intensification causes multitrophic homogenization of grassland communities.

Authors:  Martin M Gossner; Thomas M Lewinsohn; Tiemo Kahl; Fabrice Grassein; Steffen Boch; Daniel Prati; Klaus Birkhofer; Swen C Renner; Johannes Sikorski; Tesfaye Wubet; Hartmut Arndt; Vanessa Baumgartner; Stefan Blaser; Nico Blüthgen; Carmen Börschig; Francois Buscot; Tim Diekötter; Leonardo Ré Jorge; Kirsten Jung; Alexander C Keyel; Alexandra-Maria Klein; Sandra Klemmer; Jochen Krauss; Markus Lange; Jörg Müller; Jörg Overmann; Esther Pašalić; Caterina Penone; David J Perović; Oliver Purschke; Peter Schall; Stephanie A Socher; Ilja Sonnemann; Marco Tschapka; Teja Tscharntke; Manfred Türke; Paul Christiaan Venter; Christiane N Weiner; Michael Werner; Volkmar Wolters; Susanne Wurst; Catrin Westphal; Markus Fischer; Wolfgang W Weisser; Eric Allan
Journal:  Nature       Date:  2016-11-30       Impact factor: 49.962

3.  Forest and connectivity loss simplify tropical pollination networks.

Authors:  Patrícia Alves Ferreira; Danilo Boscolo; Luciano Elsinor Lopes; Luísa G Carvalheiro; Jacobus C Biesmeijer; Pedro Luís Bernardo da Rocha; Blandina Felipe Viana
Journal:  Oecologia       Date:  2020-01-02       Impact factor: 3.225

4.  Biomonitoring via DNA metabarcoding and light microscopy of bee pollen in rainforest transformation landscapes of Sumatra.

Authors:  Carina Carneiro de Melo Moura; Christina A Setyaningsih; Kevin Li; Miryam Sarah Merk; Sonja Schulze; Rika Raffiudin; Ingo Grass; Hermann Behling; Teja Tscharntke; Catrin Westphal; Oliver Gailing
Journal:  BMC Ecol Evol       Date:  2022-04-26

5.  Do amino and fatty acid profiles of pollen provisions correlate with bacterial microbiomes in the mason bee Osmia bicornis?

Authors:  Sara Diana Leonhardt; Birte Peters; Alexander Keller
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2022-05-02       Impact factor: 6.671

6.  Pollen-insect interaction meta-networks identify key relationships for conservation in mosaic agricultural landscapes.

Authors:  Mark A Hall; Jamie R Stavert; Manu E Saunders; Shannon Barr; Simon G Haberle; Romina Rader
Journal:  Ecol Appl       Date:  2022-03-23       Impact factor: 6.105

7.  Predicting species' vulnerability in a massively perturbed system: the fishes of Lake Turkana, Kenya.

Authors:  Natasha J Gownaris; Ellen K Pikitch; William O Ojwang; Robert Michener; Les Kaufman
Journal:  PLoS One       Date:  2015-05-19       Impact factor: 3.240

8.  N-dimensional hypervolumes to study stability of complex ecosystems.

Authors:  Ceres Barros; Wilfried Thuiller; Damien Georges; Isabelle Boulangeat; Tamara Münkemüller
Journal:  Ecol Lett       Date:  2016-07       Impact factor: 9.492

9.  Enhancing flowering plant functional richness improves wild bee diversity in vineyard inter-rows in different floral kingdoms.

Authors:  Sophie Kratschmer; Bärbel Pachinger; René Gaigher; James S Pryke; Julia van Schalkwyk; Michael J Samways; Annalie Melin; Temitope Kehinde; Johann G Zaller; Silvia Winter
Journal:  Ecol Evol       Date:  2021-05-04       Impact factor: 2.912

10.  Functional traits help to explain half-century long shifts in pollinator distributions.

Authors:  Jesús Aguirre-Gutiérrez; W Daniel Kissling; Luísa G Carvalheiro; Michiel F WallisDeVries; Markus Franzén; Jacobus C Biesmeijer
Journal:  Sci Rep       Date:  2016-04-15       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.