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Description
  • Prediktivní hodnota %22plant traits%22 u pasení v rámci klimatického gradientu v Mediteránu (cs)
  • . In the face of large-scale environmental changes, predicting the consequences for species composition from species' traits can be a major step towards generalizing ecological patterns and management. Few studies, however, have explored the applicability of this tool in relation to different climatic conditions. Here, the changes in species composition along a gradient of sheep-grazing pressure (high, low, abandonment) were used to test whether a common set of plant functional traits (PFT) would provide consistent predictions of species' responses to grazing in different biogeographical regions. 2. Data were collected across an altitudinal and climatic gradient from Mediterranean rangelands to subalpine grasslands in north-eastern Spain. Species' responses were calculated using partial constrained ordination to account only for the effect of grazing intensity. Regression trees and general linear models were applied to identify traits that could predict species' responses. 3.
  • . In the face of large-scale environmental changes, predicting the consequences for species composition from species' traits can be a major step towards generalizing ecological patterns and management. Few studies, however, have explored the applicability of this tool in relation to different climatic conditions. Here, the changes in species composition along a gradient of sheep-grazing pressure (high, low, abandonment) were used to test whether a common set of plant functional traits (PFT) would provide consistent predictions of species' responses to grazing in different biogeographical regions. 2. Data were collected across an altitudinal and climatic gradient from Mediterranean rangelands to subalpine grasslands in north-eastern Spain. Species' responses were calculated using partial constrained ordination to account only for the effect of grazing intensity. Regression trees and general linear models were applied to identify traits that could predict species' responses. 3. (en)
Title
  • Predictive value of plant traits to grazing along a climatic gradient in the Mediterranean
  • Predictive value of plant traits to grazing along a climatic gradient in the Mediterranean (en)
  • Prediktivní hodnota %22plant traits%22 u pasení v rámci klimatického gradientu v Mediteránu (cs)
skos:prefLabel
  • Predictive value of plant traits to grazing along a climatic gradient in the Mediterranean
  • Predictive value of plant traits to grazing along a climatic gradient in the Mediterranean (en)
  • Prediktivní hodnota %22plant traits%22 u pasení v rámci klimatického gradientu v Mediteránu (cs)
skos:notation
  • RIV/60076658:12310/05:00008750!RIV08-MSM-12310___
http://linked.open.../vavai/riv/strany
  • 324-833
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • V, Z(AV0Z50070508)
http://linked.open...iv/cisloPeriodika
  • 5
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 537777
http://linked.open...ai/riv/idVysledku
  • RIV/60076658:12310/05:00008750
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • CCA; disturbance; land-use change; plant functional group; phylogeny; regression tree; sheep (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV
  • [35A5B38AF7A7]
http://linked.open...i/riv/nazevZdroje
  • Journal of Applied Ecology
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 42
http://linked.open...iv/tvurceVysledku
  • Lepš, Jan
  • De Bello, F.
  • Sebastia, M.
http://linked.open...n/vavai/riv/zamer
issn
  • 0021-8901
number of pages
http://localhost/t...ganizacniJednotka
  • 12310
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