Determinants of plant community composition of remnant biancane badlands: a hierarchical approach to quantify species-environment relationships

Determinants of plant community composition of remnant biancane badlands: a hierarchical approach to quantify species-environment relationships

Question: Which environmental variables best explain patterns in the vegetation of biancane badlands? What is the role of spatial scales in structuring the vegetation of biancane badlands within the agricultural matrix? Location: Five biancane badlands in Central Italy (Tuscany). Methods: An object-...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:Applied Vegetation Science. - Opulus Press. - 14(2011), 3, Seite 378-387
1. Verfasser: Maccherini, S. (VerfasserIn)
Weitere Verfasser: Marignani, M., Gioria, M., Renzi, M., Rocchini, D., Santi, E., Torri, D., Tundo, J., Honnay, O.
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2011
Zugriff auf das übergeordnete Werk:Applied Vegetation Science
Schlagworte:Physical sciences Biological sciences Social sciences
LEADER 01000caa a22002652 4500
001 JST100740766
003 DE-627
005 20240624093038.0
007 cr uuu---uuuuu
008 180520s2011 xx |||||o 00| ||eng c
035 |a (DE-627)JST100740766 
035 |a (JST)41318170 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Maccherini, S.  |e verfasserin  |4 aut 
245 1 0 |a Determinants of plant community composition of remnant biancane badlands: a hierarchical approach to quantify species-environment relationships 
264 1 |c 2011 
336 |a Text  |b txt  |2 rdacontent 
337 |a Computermedien  |b c  |2 rdamedia 
338 |a Online-Ressource  |b cr  |2 rdacarrier 
520 |a Question: Which environmental variables best explain patterns in the vegetation of biancane badlands? What is the role of spatial scales in structuring the vegetation of biancane badlands within the agricultural matrix? Location: Five biancane badlands in Central Italy (Tuscany). Methods: An object-oriented approach on high-resolution multispectral images was used to classify physiognomic vegetation types in five biancane badlands. Within each badland, data on vascular plant species abundance were collected using a stratified random design. Variation partitioning based on partial redundancy analysis was used to evaluate the contribution of three sets of environmental predictors, recorded at the spatial scales of plot, patch and biancane badland in explaining patterns in plant community composition. Results: Environmental variables included in the final model -electrical conductivity and carbon/nitrogen ratio (plot scale), shape index (patch scale) and area (biancane badland scale) -accounted for 15.5% of the total variation in plant community composition. Soil characteristics measured at the plot level explained the majority of variation. In the smallest badlands, Bromus erectus perennial grasslands were absent, while annual grasslands, linked with harsh soil conditions (i.e. high soil salinity), were not affected by either the surface area of biancane badlands or by the soil nitrogen availability. Conclusions: The identification of the major predictors of patterns in remnant vegetation requires conducting investigations at multiple spatial scale. Management strategies should operate at different spatial scale, preventing any further reduction in the size of existing badlands and relying on habitat-instead of area-focused conservation practices. 
540 |a Copyright © 2011 International Association for Vegetation Science 
650 4 |a Physical sciences  |x Earth sciences  |x Geography  |x Geomorphology  |x Landforms  |x Erosional landforms  |x Badlands 
650 4 |a Biological sciences  |x Biology  |x Botany  |x Plants 
650 4 |a Biological sciences  |x Biology  |x Botany  |x Plant ecology  |x Vegetation 
650 4 |a Biological sciences  |x Biology  |x Conservation biology  |x Conservation agriculture  |x Habitat conservation 
650 4 |a Biological sciences  |x Ecology  |x Population ecology  |x Synecology  |x Biocenosis  |x Plant communities 
650 4 |a Biological sciences  |x Biology  |x Conservation biology  |x Biodiversity conservation 
650 4 |a Social sciences  |x Archaeology  |x Cultural landscapes 
650 4 |a Biological sciences  |x Biology  |x Biological taxonomies  |x Species 
650 4 |a Biological sciences  |x Ecology  |x Ecosystems  |x Biomes  |x Grasslands  |x Annual grasslands 
650 4 |a Biological sciences  |x Agriculture  |x Agricultural sciences  |x Agronomy  |x Soil science  |x Soils  |x Grassland soils 
655 4 |a research-article 
700 1 |a Marignani, M.  |e verfasserin  |4 aut 
700 1 |a Gioria, M.  |e verfasserin  |4 aut 
700 1 |a Renzi, M.  |e verfasserin  |4 aut 
700 1 |a Rocchini, D.  |e verfasserin  |4 aut 
700 1 |a Santi, E.  |e verfasserin  |4 aut 
700 1 |a Torri, D.  |e verfasserin  |4 aut 
700 1 |a Tundo, J.  |e verfasserin  |4 aut 
700 1 |a Honnay, O.  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Applied Vegetation Science  |d Opulus Press  |g 14(2011), 3, Seite 378-387  |w (DE-627)332167615  |w (DE-600)2053083-3  |x 1654109X  |7 nnns 
773 1 8 |g volume:14  |g year:2011  |g number:3  |g pages:378-387 
856 4 0 |u http://dx.doi.org/10.1111/j.1654-109X.2011.01131.x  |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_32 
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_105 
912 |a GBV_ILN_110 
912 |a GBV_ILN_120 
912 |a GBV_ILN_138 
912 |a GBV_ILN_150 
912 |a GBV_ILN_151 
912 |a GBV_ILN_161 
912 |a GBV_ILN_165 
912 |a GBV_ILN_170 
912 |a GBV_ILN_171 
912 |a GBV_ILN_187 
912 |a GBV_ILN_206 
912 |a GBV_ILN_213 
912 |a GBV_ILN_224 
912 |a GBV_ILN_230 
912 |a GBV_ILN_266 
912 |a GBV_ILN_285 
912 |a GBV_ILN_293 
912 |a GBV_ILN_370 
912 |a GBV_ILN_374 
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_2039 
912 |a GBV_ILN_2044 
912 |a GBV_ILN_2048 
912 |a GBV_ILN_2049 
912 |a GBV_ILN_2050 
912 |a GBV_ILN_2055 
912 |a GBV_ILN_2056 
912 |a GBV_ILN_2057 
912 |a GBV_ILN_2059 
912 |a GBV_ILN_2061 
912 |a GBV_ILN_2064 
912 |a GBV_ILN_2068 
912 |a GBV_ILN_2088 
912 |a GBV_ILN_2093 
912 |a GBV_ILN_2106 
912 |a GBV_ILN_2107 
912 |a GBV_ILN_2108 
912 |a GBV_ILN_2110 
912 |a GBV_ILN_2111 
912 |a GBV_ILN_2112 
912 |a GBV_ILN_2113 
912 |a GBV_ILN_2118 
912 |a GBV_ILN_2119 
912 |a GBV_ILN_2122 
912 |a GBV_ILN_2129 
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_2153 
912 |a GBV_ILN_2188 
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_2472 
912 |a GBV_ILN_2507 
912 |a GBV_ILN_2522 
912 |a GBV_ILN_2548 
912 |a GBV_ILN_2939 
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_4246 
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_4338 
912 |a GBV_ILN_4346 
912 |a GBV_ILN_4393 
912 |a GBV_ILN_4700 
951 |a AR 
952 |d 14  |j 2011  |e 3  |h 378-387