Species turnover and geographic distance in an urban river network

Aim Understanding the relationships between species turnover, environmental features and the geographic distance between sites can provide important insights into the processes driving species diversity. This is particularly relevant where the effective distance between sites may be a function of th...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:Diversity and Distributions. - Wiley. - 19(2013), 11/12, Seite 1429-1439
1. Verfasser: Rouquette, James R. (VerfasserIn)
Weitere Verfasser: Dallimer, Martin, Armsworth, Paul R., Gaston, Kevin J., Maltby, Lorraine, Warren, Philip H.
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2013
Zugriff auf das übergeordnete Werk:Diversity and Distributions
Schlagworte:Physical sciences Biological sciences Social sciences
LEADER 01000caa a22002652 4500
001 JST123839874
003 DE-627
005 20240625071011.0
007 cr uuu---uuuuu
008 181227s2013 xx |||||o 00| ||eng c
035 |a (DE-627)JST123839874 
035 |a (JST)24032638 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Rouquette, James R.  |e verfasserin  |4 aut 
245 1 0 |a Species turnover and geographic distance in an urban river network 
264 1 |c 2013 
336 |a Text  |b txt  |2 rdacontent 
337 |a Computermedien  |b c  |2 rdamedia 
338 |a Online-Ressource  |b cr  |2 rdacarrier 
520 |a Aim Understanding the relationships between species turnover, environmental features and the geographic distance between sites can provide important insights into the processes driving species diversity. This is particularly relevant where the effective distance between sites may be a function of the habitat or topographic features of the landscape and the means of dispersal of the organism. River networks, in particular in human-modified landscapes, are a striking example of such a situation. Here, we use data for both aquatic and terrestrial organisms across an urban river network to examine patterns of species turnover and to determine whether these patterns differ between different taxonomic groups. Location Sheffield area, UK. Methods Aquatic (macroinvertebrates, diatoms) and terrestrial (birds, plants, butterflies) organisms were surveyed at 41 sites across an urban river network. We assessed the relationship between turnover and three alternative geographic distance measures (Euclidean, network and flow distance), whilst also taking into account the environmental distance between sites, using Mantel and partial Mantel tests. Results Turnover of all taxonomic groups apart from butterflies was significantly correlated with at least one measure of geographic distance. The aquatic taxonomic groups showed the strongest correlations with the geographic distance measures, and in particular with network distance. Terrestrial taxa were more closely associated with environmental than any of the geographic distance measures, although network distance remained significant for birds and some plant groups after removing the effect of environmental distance. Water-dispersed and neophyte plant groups were significantly related to network and flow distance. Main conclusions The results suggest that aquatic communities are strongly influenced by spatial processes occurring within the river network. Terrestrial taxa have a more complex relationship with distance, with different components of these communities displaying different responses. Nevertheless, it is clear that connectivity along the river corridor is important for both aquatic and terrestrial communities. 
540 |a Copyright © 2013 John Wiley & Sons Ltd. 
650 4 |a Physical sciences  |x Earth sciences  |x Geography  |x Geomorphology  |x Bodies of water  |x Rivers 
650 4 |a Biological sciences  |x Biology  |x Zoology  |x Animals  |x Invertebrates  |x Macroinvertebrates 
650 4 |a Biological sciences  |x Biology  |x Biological taxonomies  |x Species 
650 4 |a Biological sciences  |x Biology  |x Botany  |x Plants 
650 4 |a Biological sciences  |x Ecology  |x Ecological engineering  |x Habitat corridors 
650 4 |a Social sciences  |x Urban studies  |x Urban ecology 
650 4 |a Biological sciences  |x Ecology  |x Aquatic ecology  |x Freshwater ecology 
650 4 |a Biological sciences  |x Biology  |x Biological taxonomies  |x Taxa 
650 4 |a Biological sciences  |x Ecology  |x Plant ecology 
650 4 |a Biological sciences  |x Biology  |x Botany  |x Phycology  |x Algae  |x Diatoms  |x BIODIVERSITY RESEARCH 
655 4 |a research-article 
700 1 |a Dallimer, Martin  |e verfasserin  |4 aut 
700 1 |a Armsworth, Paul R.  |e verfasserin  |4 aut 
700 1 |a Gaston, Kevin J.  |e verfasserin  |4 aut 
700 1 |a Maltby, Lorraine  |e verfasserin  |4 aut 
700 1 |a Warren, Philip H.  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Diversity and Distributions  |d Wiley  |g 19(2013), 11/12, Seite 1429-1439  |w (DE-627)320600742  |w (DE-600)2020139-4  |x 14724642  |7 nnns 
773 1 8 |g volume:19  |g year:2013  |g number:11/12  |g pages:1429-1439 
856 4 0 |u https://www.jstor.org/stable/24032638  |3 Volltext 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_JST 
912 |a GBV_ILN_11 
912 |a GBV_ILN_20 
912 |a GBV_ILN_22 
912 |a GBV_ILN_23 
912 |a GBV_ILN_24 
912 |a GBV_ILN_31 
912 |a GBV_ILN_39 
912 |a GBV_ILN_40 
912 |a GBV_ILN_60 
912 |a GBV_ILN_62 
912 |a GBV_ILN_63 
912 |a GBV_ILN_65 
912 |a GBV_ILN_69 
912 |a GBV_ILN_70 
912 |a GBV_ILN_73 
912 |a GBV_ILN_74 
912 |a GBV_ILN_90 
912 |a GBV_ILN_95 
912 |a GBV_ILN_100 
912 |a GBV_ILN_101 
912 |a GBV_ILN_105 
912 |a GBV_ILN_110 
912 |a GBV_ILN_120 
912 |a GBV_ILN_151 
912 |a GBV_ILN_161 
912 |a GBV_ILN_170 
912 |a GBV_ILN_171 
912 |a GBV_ILN_206 
912 |a GBV_ILN_213 
912 |a GBV_ILN_224 
912 |a GBV_ILN_230 
912 |a GBV_ILN_285 
912 |a GBV_ILN_293 
912 |a GBV_ILN_370 
912 |a GBV_ILN_374 
912 |a GBV_ILN_381 
912 |a GBV_ILN_602 
912 |a GBV_ILN_636 
912 |a GBV_ILN_647 
912 |a GBV_ILN_702 
912 |a GBV_ILN_2001 
912 |a GBV_ILN_2003 
912 |a GBV_ILN_2004 
912 |a GBV_ILN_2005 
912 |a GBV_ILN_2006 
912 |a GBV_ILN_2007 
912 |a GBV_ILN_2008 
912 |a GBV_ILN_2009 
912 |a GBV_ILN_2010 
912 |a GBV_ILN_2011 
912 |a GBV_ILN_2014 
912 |a GBV_ILN_2015 
912 |a GBV_ILN_2018 
912 |a GBV_ILN_2020 
912 |a GBV_ILN_2021 
912 |a GBV_ILN_2025 
912 |a GBV_ILN_2026 
912 |a GBV_ILN_2027 
912 |a GBV_ILN_2031 
912 |a GBV_ILN_2034 
912 |a GBV_ILN_2037 
912 |a GBV_ILN_2038 
912 |a GBV_ILN_2044 
912 |a GBV_ILN_2048 
912 |a GBV_ILN_2050 
912 |a GBV_ILN_2055 
912 |a GBV_ILN_2056 
912 |a GBV_ILN_2057 
912 |a GBV_ILN_2061 
912 |a GBV_ILN_2068 
912 |a GBV_ILN_2088 
912 |a GBV_ILN_2106 
912 |a GBV_ILN_2107 
912 |a GBV_ILN_2108 
912 |a GBV_ILN_2111 
912 |a GBV_ILN_2118 
912 |a GBV_ILN_2122 
912 |a GBV_ILN_2143 
912 |a GBV_ILN_2144 
912 |a GBV_ILN_2147 
912 |a GBV_ILN_2148 
912 |a GBV_ILN_2152 
912 |a GBV_ILN_2190 
912 |a GBV_ILN_2232 
912 |a GBV_ILN_2336 
912 |a GBV_ILN_2360 
912 |a GBV_ILN_2470 
912 |a GBV_ILN_2507 
912 |a GBV_ILN_2522 
912 |a GBV_ILN_2939 
912 |a GBV_ILN_2942 
912 |a GBV_ILN_2946 
912 |a GBV_ILN_2949 
912 |a GBV_ILN_2951 
912 |a GBV_ILN_4012 
912 |a GBV_ILN_4035 
912 |a GBV_ILN_4037 
912 |a GBV_ILN_4046 
912 |a GBV_ILN_4112 
912 |a GBV_ILN_4125 
912 |a GBV_ILN_4126 
912 |a GBV_ILN_4242 
912 |a GBV_ILN_4249 
912 |a GBV_ILN_4251 
912 |a GBV_ILN_4305 
912 |a GBV_ILN_4306 
912 |a GBV_ILN_4307 
912 |a GBV_ILN_4313 
912 |a GBV_ILN_4322 
912 |a GBV_ILN_4323 
912 |a GBV_ILN_4324 
912 |a GBV_ILN_4325 
912 |a GBV_ILN_4326 
912 |a GBV_ILN_4333 
912 |a GBV_ILN_4334 
912 |a GBV_ILN_4335 
912 |a GBV_ILN_4336 
912 |a GBV_ILN_4346 
912 |a GBV_ILN_4367 
912 |a GBV_ILN_4393 
912 |a GBV_ILN_4700 
951 |a AR 
952 |d 19  |j 2013  |e 11/12  |h 1429-1439