Authors:
G. Bacaro University of Siena BIOCONNET, Biodiversity and Conservation Network, Department of Environmental Science “G. Sarfatti” Via P.A. Mattioli 4 53100 Siena Italy

Search for other papers by G. Bacaro in
Current site
Google Scholar
PubMed
Close
,
D. Rocchini GIS and Remote Sensing Unit Fondazione Edmund Mach, Research and Innovation Centre, Department of Biodiversity and Molecular Ecology Via E. Mach 1 38010 S. Michele all’Adige (TN) Italy

Search for other papers by D. Rocchini in
Current site
Google Scholar
PubMed
Close
,
C. Duprè University of Bremen Vegetation Ecology and Conservation Biology, Institute of Ecology Leobener Str. 28359 Bremen Germany

Search for other papers by C. Duprè in
Current site
Google Scholar
PubMed
Close
,
M. Diekmann University of Bremen Vegetation Ecology and Conservation Biology, Institute of Ecology Leobener Str. 28359 Bremen Germany

Search for other papers by M. Diekmann in
Current site
Google Scholar
PubMed
Close
,
F. Carnesecchi University of Siena BIOCONNET, Biodiversity and Conservation Network, Department of Environmental Science “G. Sarfatti” Via P.A. Mattioli 4 53100 Siena Italy

Search for other papers by F. Carnesecchi in
Current site
Google Scholar
PubMed
Close
,
V. Gori University of Siena BIOCONNET, Biodiversity and Conservation Network, Department of Environmental Science “G. Sarfatti” Via P.A. Mattioli 4 53100 Siena Italy

Search for other papers by V. Gori in
Current site
Google Scholar
PubMed
Close
, and
A. Chiarucci University of Siena BIOCONNET, Biodiversity and Conservation Network, Department of Environmental Science “G. Sarfatti” Via P.A. Mattioli 4 53100 Siena Italy

Search for other papers by A. Chiarucci in
Current site
Google Scholar
PubMed
Close
Restricted access

Similarity in species composition among different areas plays an essential task in biodiversity management and conservation since it allows the identification of those environmental gradients that functionally operate in determining variation in species composition across spatial scale. The decay of compositional similarity with increasing spatial or environmental distance derives from: 1) the presence of spatial constraints which create a physical separation among habitats, or 2) the decrease in environmental similarity with increasing distance. Even if the distance decay of compositional similarity represents a well known pattern characterising all types of biological communities, few attempts were made to examine this pattern at small spatial scales with respect to both grain and extent. Aim of this work was to test whether the distance decay of similarity 1) can be observed at a local scale in situations where environmental conditions are relatively homogeneous and ecological barriers are absent, and 2) is dependent on the grain size at which plant community data are recorded. We selected two urban brownfields located at Bremen university campus, Germany, of 40 m × 20 m each, systematically divided in nested plots with an increasing spatial scale of 0.25 m2, 1 m2, 4 m2 and 16 m2. Both plant species composition and soil variables were recorded in each cell. Linear and logarithmic least squares regression models were applied in order to examine the decay of similarity due to spatial distance (calculated as the Euclidean distance among pairs of plots) and environmental distance (calculated as the Euclidean distance among PCA-transformed soil variables). A general lack of distance decay was observed, irrespective of the type of distance (spatial or environmental) or the grain size. We argue that this is probably due to a random variation both of the important environmental parameters and of the local distribution patterns of individual species, the latter mainly caused by the high dispersal abilities of the majority of species occurring in the brownfields.

  • Collapse
  • Expand

To see the editorial board, please visit the website of Springer Nature.

Manuscript Submission: HERE

For subscription options, please visit the website of Springer Nature.

Community Ecology
Language English
Size A4
Year of
Foundation
2000
Volumes
per Year
1
Issues
per Year
3
Founder Akadémiai Kiadó
Founder's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245
Publisher Akadémiai Kiadó
Springer Nature Switzerland AG
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 1585-8553 (Print)
ISSN 1588-2756 (Online)