Configurational landscape heterogeneity shapes functional community composition of grassland butterflies

Journal of Applied Ecology - Tập 52 Số 2 - Trang 505-513 - 2015
David J. Perović1, Sagrario Gámez‐Virués1, Carmen Börschig1, Alexandra‐Maria Klein2, Jochen Krauß3, Juliane Steckel3, Christoph Rothenwöhrer1, Stefan Erasmi4, Teja Tscharntke1, Catrin Westphal1
1Agroecology Department of Crop Science Georg‐August‐University Göttingen Göttingen Germany
2Nature Conservation and Landscape Ecology Institute of Earth and Environmental Sciences University of Freiburg Freiburg Germany
3Department of Animal Ecology and Tropical Biology, Biocentre, University of Würzburg, Würzburg, Germany
4Institute of Geography Cartography GIS & Remote Sensing Department Georg‐August‐University Göttingen Germany

Tóm tắt

Summary Landscape heterogeneity represents two aspects of landscape simplification: (i) compositional heterogeneity (diversity of habitat types); and (ii) configurational heterogeneity (number, size and arrangement of habitat patches), both with different ecological implications for community composition. We examined how independent gradients of compositional and configurational landscape heterogeneity, at eight spatial scales, shape taxonomic and functional composition of butterfly communities in 91 managed grasslands across Germany. We used landscape metrics that were calculated from functional maps based on habitat preferences of individual species during different life stages. The relative effects of compositional and configurational landscape heterogeneity were compared with those of local land‐use intensity on butterfly taxonomic diversity, community composition and functional diversity of traits related to body size, feeding breadth and migratory tendency. As expected, compositional heterogeneity had strong positive effects on taxonomic diversity, while configurational heterogeneity had strong positive effects on trait dominance within the community. When landscapes had smaller mean patch size and greater boundary area, communities were dominated by species with more specialized larval feeding, decreased forewing length and limited migratory tendency. The positive effects of increased configurational landscape heterogeneity outweighed the negative effects of local land‐use intensity on larval‐feeding specialization, at all spatial scales, highlighting its importance for specialists of all dispersal capabilities. Synthesis and applications. We show that landscapes with high compositional heterogeneity support communities with greater taxonomic diversity, while landscapes with high configurational heterogeneity support communities that include vulnerable species (feeding specialists with larger body size, sedentary nature and more negatively affected by local management intensity). A decline in functional community composition can lead to functional homogenization, affecting the viability of the ecosystems by decreasing the variability in their responses to disturbance and altering their functioning. A landscape management for grasslands that promotes the maintenance of small patch sizes and a diversity of land uses in the surrounding landscape (within 250–1000 m) is recommended for the conservation of diverse butterfly communities. These strategies could also benefit government programmes such as the EU 2020 Biodiversity Strategy in their efforts to reduce the loss of biodiversity in agricultural landscapes.

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Tài liệu tham khảo

10.2307/3565770

Baddeley A. Berthelsen K.K. Jalilian A. van Lieshout M.C. Rubak E. Schuhmacher D.&Waagepetersen R.(2013)Spatial Point Pattern analysis model‐fitting simulation tests. R package version 1.31‐3.

10.1111/j.1600-0587.2008.05546.x

10.1016/S0169-5347(03)00011-9

10.1016/j.baae.2012.04.001

10.1098/rspb.2009.2221

10.1016/j.baae.2013.09.002

10.1098/rspb.2004.3002

10.1016/j.agee.2006.08.013

10.1111/j.2007.0906-7590.05171.x

10.1007/s10841-008-9135-8

10.18637/jss.v022.i04

10.1016/S0167-8809(96)01143-7

10.2307/3544901

10.1111/j.1461-0248.2010.01559.x

10.1016/j.baae.2010.07.009

10.1111/j.1461-0248.2008.01255.x

10.1371/journal.pone.0037359

10.1046/j.1365-2745.1998.00306.x

Higgins L.G., 1970, A Field Guide to the Butterflies of Britain & Europe

10.1146/annurev.es.04.110173.000245

10.1111/j.1365-2656.2009.01642.x

Koch M., 1991, Schmetterlinge

10.1016/j.biocon.2012.03.038

10.1111/j.1461-0248.2010.01457.x

Laliberté E.&Shipley B.(2011)FD: measuring functional diversity from multiple traits and other tools for functional ecology. R package version 1.0‐11.

McGarigal K. Cushman S.A. Neel M.C.&Ene E.(2002)FRAGSTATS v3: Spatial pattern analysis program for categorical maps. URL:www.umass.edu/landeco/research/fragstats/fragstats.html.

10.1111/jvs.12022

10.1111/j.1461-0248.2010.01487.x

10.1007/s10980-013-9852-6

Perović D. Gámez‐Virués S. Börschig C. Klein A.‐M. Krauss J. Steckel J.et al. (2015)Data from: Configurational landscape heterogeneity shapes functional community composition of grassland butterflies.Dryad Digital Repository http://dx.doi.org/10.5061/dryad.54cd3.

Pinheiro J. Bates D. DebRoy S. Sarkar D.&R Core Team(2013)nlme: Linear and Nonlinear Mixed effects Models. R package version 3.1‐107. 4.2.

R Development Core Team(2003)R Environment for Statistical Computing and Graphics CRAN.R‐project.org/manuals.html.

10.1007/s00442-011-1965-5

10.1146/annurev.ecolsys.35.112202.130148

Ripley B.(2013).Classification and regression trees. R package ‘tree’ version 1.0‐34.

10.1007/s10980-010-9473-2

Settele J., 1999, Die Tagfalter Deutschlands

Settele J., 2009, Schmetterlinge. Die Tagfalter Deutschlands

10.1016/j.biocon.2014.02.015

10.1111/j.1469-185X.2009.00119.x

10.1111/j.1461-0248.2011.01709.x

10.1098/rstb.2004.1585

10.1016/B978-012323445-2/50020-1

10.1111/j.1461-0248.2005.00782.x

10.1111/j.1469-185X.2011.00216.x

10.1016/j.agee.2012.08.013

10.1111/j.0030-1299.2007.15559.x

Weidemann H.J.(1995)Tagfalter beobachten bestimmen. Naturbuch Verlag.

10.1016/j.biocon.2005.10.022

10.1007/BF00131172