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The landscape matrix modifies the effect of habitat fragmentation in grassland butterflies

Ockinger, Erik; Bergman, Karl-Olof; Franzen, Markus; Kadlec, Tomas; Krauss, Jochen; Kuussaari, Mikko; Poyry, Juha; Smith, Henrik LU ; Steffan-Dewenter, Ingolf and Bommarco, Riccardo (2012) In Landscape Ecology 27(1). p.121-131
Abstract
The landscape matrix is suggested to influence the effect of habitat fragmentation on species richness, but the generality of this prediction has not been tested. Here, we used data from 10 independent studies on butterfly species richness, where the matrix surrounding grassland patches was dominated by either forest or arable land to test if matrix land use influenced the response of species richness to patch area and connectivity. To account for the possibility that some of the observed species use the matrix as their main or complementary habitat, we analysed the effects on total species richness and on the richness of grassland specialist and non-specialist (generalists and specialists on other habitat types) butterflies separately.... (More)
The landscape matrix is suggested to influence the effect of habitat fragmentation on species richness, but the generality of this prediction has not been tested. Here, we used data from 10 independent studies on butterfly species richness, where the matrix surrounding grassland patches was dominated by either forest or arable land to test if matrix land use influenced the response of species richness to patch area and connectivity. To account for the possibility that some of the observed species use the matrix as their main or complementary habitat, we analysed the effects on total species richness and on the richness of grassland specialist and non-specialist (generalists and specialists on other habitat types) butterflies separately. Specialists and non-specialists were defined separately for each dataset. Total species richness and the richness of grassland specialist butterflies were positively related to patch area and forest cover in the matrix, and negatively to patch isolation. The strength of the species-area relationship was modified by matrix land use and had a slope that decreased with increasing forest cover in the matrix. Potential mechanisms for the weaker effect of grassland fragmentation in forest-dominated landscapes are (1) that the forest matrix is more heterogeneous and contains more resources, (2) that small grassland patches in a matrix dominated by arable land suffer more from negative edge effects or (3) that the arable matrix constitutes a stronger barrier to dispersal between populations. Regardless of the mechanisms, our results show that there are general effects of matrix land use across landscapes and regions, and that landscape management that increases matrix quality can be a complement to habitat restoration and re-creation in fragmented landscapes. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Biodiversity, Butterflies, Connectivity, Habitat loss, Island, biogeography, Landscape matrix, Metapopulation, Species-area, relationship
in
Landscape Ecology
volume
27
issue
1
pages
121 - 131
publisher
Springer
external identifiers
  • wos:000298228300010
  • scopus:83555178394
ISSN
1572-9761
DOI
10.1007/s10980-011-9686-z
project
BECC
language
English
LU publication?
yes
id
a6fd3042-d9e5-47e6-9dc5-e68c70ee1acd (old id 2333907)
date added to LUP
2012-01-30 14:46:37
date last changed
2017-11-12 03:10:39
@article{a6fd3042-d9e5-47e6-9dc5-e68c70ee1acd,
  abstract     = {The landscape matrix is suggested to influence the effect of habitat fragmentation on species richness, but the generality of this prediction has not been tested. Here, we used data from 10 independent studies on butterfly species richness, where the matrix surrounding grassland patches was dominated by either forest or arable land to test if matrix land use influenced the response of species richness to patch area and connectivity. To account for the possibility that some of the observed species use the matrix as their main or complementary habitat, we analysed the effects on total species richness and on the richness of grassland specialist and non-specialist (generalists and specialists on other habitat types) butterflies separately. Specialists and non-specialists were defined separately for each dataset. Total species richness and the richness of grassland specialist butterflies were positively related to patch area and forest cover in the matrix, and negatively to patch isolation. The strength of the species-area relationship was modified by matrix land use and had a slope that decreased with increasing forest cover in the matrix. Potential mechanisms for the weaker effect of grassland fragmentation in forest-dominated landscapes are (1) that the forest matrix is more heterogeneous and contains more resources, (2) that small grassland patches in a matrix dominated by arable land suffer more from negative edge effects or (3) that the arable matrix constitutes a stronger barrier to dispersal between populations. Regardless of the mechanisms, our results show that there are general effects of matrix land use across landscapes and regions, and that landscape management that increases matrix quality can be a complement to habitat restoration and re-creation in fragmented landscapes.},
  author       = {Ockinger, Erik and Bergman, Karl-Olof and Franzen, Markus and Kadlec, Tomas and Krauss, Jochen and Kuussaari, Mikko and Poyry, Juha and Smith, Henrik and Steffan-Dewenter, Ingolf and Bommarco, Riccardo},
  issn         = {1572-9761},
  keyword      = {Biodiversity,Butterflies,Connectivity,Habitat loss,Island,biogeography,Landscape matrix,Metapopulation,Species-area,relationship},
  language     = {eng},
  number       = {1},
  pages        = {121--131},
  publisher    = {Springer},
  series       = {Landscape Ecology},
  title        = {The landscape matrix modifies the effect of habitat fragmentation in grassland butterflies},
  url          = {http://dx.doi.org/10.1007/s10980-011-9686-z},
  volume       = {27},
  year         = {2012},
}