How well do seed production traits correlate with leaf traits, whole-plant traits and plant ecological strategies?

Abstract The principal axes of variation in plant function include the economics spectrum and size variation, both of which are implicated in primary ecological strategies. However, it is unclear to what extent vegetative traits and primary strategies correlate with reproductive traits, particularly...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Pierce, Simon [verfasserIn] Bottinelli, Arianna [verfasserIn] Bassani, Ilaria [verfasserIn] Ceriani, Roberta M. [verfasserIn] Cerabolini, Bruno E. L. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2014

Schlagwörter:	CSR classification Plant functional type Universal adaptive strategy theory UAST Worldwide leaf economics spectrum

Übergeordnetes Werk:	Enthalten in: Plant ecology - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1997, 215(2014), 11 vom: 10. Aug., Seite 1351-1359
Übergeordnetes Werk:	volume:215 ; year:2014 ; number:11 ; day:10 ; month:08 ; pages:1351-1359

Links:	Volltext

DOI / URN:	10.1007/s11258-014-0392-1

Katalog-ID:	SPR018353789

Internformat


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520			\|a Abstract The principal axes of variation in plant function include the economics spectrum and size variation, both of which are implicated in primary ecological strategies. However, it is unclear to what extent vegetative traits and primary strategies correlate with reproductive traits, particularly for seed production. Fifteen traits, including whole-plant, leaf and seed traits (mass, number, total mass of seeds, volume and variance), were measured for 371 species from a range of habitats in Italy. Classification of Grime’s competitor, stress-tolerator, ruderal (CSR) strategies was applied from leaf area, leaf dry matter content and specific leaf area data. Relationships between vegetative traits, CSR values and seed traits were determined using principal components analysis (PCA) and Pearson’s correlation coefficients. PCA1 was an axis of economics, significantly correlated (positively) with leaf carbon concentration and S-selection, and (negatively) with leaf nitrogen concentration, flowering period and R-selection, but not seed traits. PCA2 was a plant size axis, significantly positively correlated with canopy height, leaf mass, C-selection and to a lesser extent seed size traits and total mass of seeds. PCA3 was a specific seed size-seed output axis, correlated positively with seed mass and volume, and negatively with seed number and variance. The loading of seed production traits on a general plant size axis alongside C-selection demonstrates that seed production traits are integral to CSR strategies. However, the stronger contribution of seed traits to a specific axis of variability is suggestive of reproductive variability beyond the CSR strategy, as predicted by the twin-filter model.
650		4	\|a CSR classification \|7 (dpeaa)DE-He213
650		4	\|a Plant functional type \|7 (dpeaa)DE-He213
650		4	\|a Universal adaptive strategy theory \|7 (dpeaa)DE-He213
650		4	\|a UAST \|7 (dpeaa)DE-He213
650		4	\|a Worldwide leaf economics spectrum \|7 (dpeaa)DE-He213
700	1		\|a Bottinelli, Arianna \|e verfasserin \|4 aut
700	1		\|a Bassani, Ilaria \|e verfasserin \|4 aut
700	1		\|a Ceriani, Roberta M. \|e verfasserin \|4 aut
700	1		\|a Cerabolini, Bruno E. L. \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t Plant ecology \|d Dordrecht [u.a.] : Springer Science + Business Media B.V, 1997 \|g 215(2014), 11 vom: 10. Aug., Seite 1351-1359 \|w (DE-627)271177578 \|w (DE-600)1479167-5 \|x 1573-5052 \|7 nnns
773	1	8	\|g volume:215 \|g year:2014 \|g number:11 \|g day:10 \|g month:08 \|g pages:1351-1359
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912			\|a GBV_ILN_152
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912			\|a GBV_ILN_170
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936	b	k	\|a 42.44 \|q ASE
951			\|a AR
952			\|d 215 \|j 2014 \|e 11 \|b 10 \|c 08 \|h 1351-1359

Indexfelder

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matchkey_str	article:15735052:2014----::owldsepoutotatcreaeihefrishlpatrisnp
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bklnumber	42.44
publishDate	2014
allfields	10.1007/s11258-014-0392-1 doi (DE-627)SPR018353789 (SPR)s11258-014-0392-1-e DE-627 ger DE-627 rakwb eng 580 ASE 42.44 bkl Pierce, Simon verfasserin aut How well do seed production traits correlate with leaf traits, whole-plant traits and plant ecological strategies? 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The principal axes of variation in plant function include the economics spectrum and size variation, both of which are implicated in primary ecological strategies. However, it is unclear to what extent vegetative traits and primary strategies correlate with reproductive traits, particularly for seed production. Fifteen traits, including whole-plant, leaf and seed traits (mass, number, total mass of seeds, volume and variance), were measured for 371 species from a range of habitats in Italy. Classification of Grime’s competitor, stress-tolerator, ruderal (CSR) strategies was applied from leaf area, leaf dry matter content and specific leaf area data. Relationships between vegetative traits, CSR values and seed traits were determined using principal components analysis (PCA) and Pearson’s correlation coefficients. PCA1 was an axis of economics, significantly correlated (positively) with leaf carbon concentration and S-selection, and (negatively) with leaf nitrogen concentration, flowering period and R-selection, but not seed traits. PCA2 was a plant size axis, significantly positively correlated with canopy height, leaf mass, C-selection and to a lesser extent seed size traits and total mass of seeds. PCA3 was a specific seed size-seed output axis, correlated positively with seed mass and volume, and negatively with seed number and variance. The loading of seed production traits on a general plant size axis alongside C-selection demonstrates that seed production traits are integral to CSR strategies. However, the stronger contribution of seed traits to a specific axis of variability is suggestive of reproductive variability beyond the CSR strategy, as predicted by the twin-filter model. CSR classification (dpeaa)DE-He213 Plant functional type (dpeaa)DE-He213 Universal adaptive strategy theory (dpeaa)DE-He213 UAST (dpeaa)DE-He213 Worldwide leaf economics spectrum (dpeaa)DE-He213 Bottinelli, Arianna verfasserin aut Bassani, Ilaria verfasserin aut Ceriani, Roberta M. verfasserin aut Cerabolini, Bruno E. L. verfasserin aut Enthalten in Plant ecology Dordrecht [u.a.] : Springer Science + Business Media B.V, 1997 215(2014), 11 vom: 10. Aug., Seite 1351-1359 (DE-627)271177578 (DE-600)1479167-5 1573-5052 nnns volume:215 year:2014 number:11 day:10 month:08 pages:1351-1359 https://dx.doi.org/10.1007/s11258-014-0392-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2939 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 42.44 ASE AR 215 2014 11 10 08 1351-1359
spelling	10.1007/s11258-014-0392-1 doi (DE-627)SPR018353789 (SPR)s11258-014-0392-1-e DE-627 ger DE-627 rakwb eng 580 ASE 42.44 bkl Pierce, Simon verfasserin aut How well do seed production traits correlate with leaf traits, whole-plant traits and plant ecological strategies? 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The principal axes of variation in plant function include the economics spectrum and size variation, both of which are implicated in primary ecological strategies. However, it is unclear to what extent vegetative traits and primary strategies correlate with reproductive traits, particularly for seed production. Fifteen traits, including whole-plant, leaf and seed traits (mass, number, total mass of seeds, volume and variance), were measured for 371 species from a range of habitats in Italy. Classification of Grime’s competitor, stress-tolerator, ruderal (CSR) strategies was applied from leaf area, leaf dry matter content and specific leaf area data. Relationships between vegetative traits, CSR values and seed traits were determined using principal components analysis (PCA) and Pearson’s correlation coefficients. PCA1 was an axis of economics, significantly correlated (positively) with leaf carbon concentration and S-selection, and (negatively) with leaf nitrogen concentration, flowering period and R-selection, but not seed traits. PCA2 was a plant size axis, significantly positively correlated with canopy height, leaf mass, C-selection and to a lesser extent seed size traits and total mass of seeds. PCA3 was a specific seed size-seed output axis, correlated positively with seed mass and volume, and negatively with seed number and variance. The loading of seed production traits on a general plant size axis alongside C-selection demonstrates that seed production traits are integral to CSR strategies. However, the stronger contribution of seed traits to a specific axis of variability is suggestive of reproductive variability beyond the CSR strategy, as predicted by the twin-filter model. CSR classification (dpeaa)DE-He213 Plant functional type (dpeaa)DE-He213 Universal adaptive strategy theory (dpeaa)DE-He213 UAST (dpeaa)DE-He213 Worldwide leaf economics spectrum (dpeaa)DE-He213 Bottinelli, Arianna verfasserin aut Bassani, Ilaria verfasserin aut Ceriani, Roberta M. verfasserin aut Cerabolini, Bruno E. L. verfasserin aut Enthalten in Plant ecology Dordrecht [u.a.] : Springer Science + Business Media B.V, 1997 215(2014), 11 vom: 10. Aug., Seite 1351-1359 (DE-627)271177578 (DE-600)1479167-5 1573-5052 nnns volume:215 year:2014 number:11 day:10 month:08 pages:1351-1359 https://dx.doi.org/10.1007/s11258-014-0392-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2939 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 42.44 ASE AR 215 2014 11 10 08 1351-1359
allfields_unstemmed	10.1007/s11258-014-0392-1 doi (DE-627)SPR018353789 (SPR)s11258-014-0392-1-e DE-627 ger DE-627 rakwb eng 580 ASE 42.44 bkl Pierce, Simon verfasserin aut How well do seed production traits correlate with leaf traits, whole-plant traits and plant ecological strategies? 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The principal axes of variation in plant function include the economics spectrum and size variation, both of which are implicated in primary ecological strategies. However, it is unclear to what extent vegetative traits and primary strategies correlate with reproductive traits, particularly for seed production. Fifteen traits, including whole-plant, leaf and seed traits (mass, number, total mass of seeds, volume and variance), were measured for 371 species from a range of habitats in Italy. Classification of Grime’s competitor, stress-tolerator, ruderal (CSR) strategies was applied from leaf area, leaf dry matter content and specific leaf area data. Relationships between vegetative traits, CSR values and seed traits were determined using principal components analysis (PCA) and Pearson’s correlation coefficients. PCA1 was an axis of economics, significantly correlated (positively) with leaf carbon concentration and S-selection, and (negatively) with leaf nitrogen concentration, flowering period and R-selection, but not seed traits. PCA2 was a plant size axis, significantly positively correlated with canopy height, leaf mass, C-selection and to a lesser extent seed size traits and total mass of seeds. PCA3 was a specific seed size-seed output axis, correlated positively with seed mass and volume, and negatively with seed number and variance. The loading of seed production traits on a general plant size axis alongside C-selection demonstrates that seed production traits are integral to CSR strategies. However, the stronger contribution of seed traits to a specific axis of variability is suggestive of reproductive variability beyond the CSR strategy, as predicted by the twin-filter model. CSR classification (dpeaa)DE-He213 Plant functional type (dpeaa)DE-He213 Universal adaptive strategy theory (dpeaa)DE-He213 UAST (dpeaa)DE-He213 Worldwide leaf economics spectrum (dpeaa)DE-He213 Bottinelli, Arianna verfasserin aut Bassani, Ilaria verfasserin aut Ceriani, Roberta M. verfasserin aut Cerabolini, Bruno E. L. verfasserin aut Enthalten in Plant ecology Dordrecht [u.a.] : Springer Science + Business Media B.V, 1997 215(2014), 11 vom: 10. Aug., Seite 1351-1359 (DE-627)271177578 (DE-600)1479167-5 1573-5052 nnns volume:215 year:2014 number:11 day:10 month:08 pages:1351-1359 https://dx.doi.org/10.1007/s11258-014-0392-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2939 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 42.44 ASE AR 215 2014 11 10 08 1351-1359
allfieldsGer	10.1007/s11258-014-0392-1 doi (DE-627)SPR018353789 (SPR)s11258-014-0392-1-e DE-627 ger DE-627 rakwb eng 580 ASE 42.44 bkl Pierce, Simon verfasserin aut How well do seed production traits correlate with leaf traits, whole-plant traits and plant ecological strategies? 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The principal axes of variation in plant function include the economics spectrum and size variation, both of which are implicated in primary ecological strategies. However, it is unclear to what extent vegetative traits and primary strategies correlate with reproductive traits, particularly for seed production. Fifteen traits, including whole-plant, leaf and seed traits (mass, number, total mass of seeds, volume and variance), were measured for 371 species from a range of habitats in Italy. Classification of Grime’s competitor, stress-tolerator, ruderal (CSR) strategies was applied from leaf area, leaf dry matter content and specific leaf area data. Relationships between vegetative traits, CSR values and seed traits were determined using principal components analysis (PCA) and Pearson’s correlation coefficients. PCA1 was an axis of economics, significantly correlated (positively) with leaf carbon concentration and S-selection, and (negatively) with leaf nitrogen concentration, flowering period and R-selection, but not seed traits. PCA2 was a plant size axis, significantly positively correlated with canopy height, leaf mass, C-selection and to a lesser extent seed size traits and total mass of seeds. PCA3 was a specific seed size-seed output axis, correlated positively with seed mass and volume, and negatively with seed number and variance. The loading of seed production traits on a general plant size axis alongside C-selection demonstrates that seed production traits are integral to CSR strategies. However, the stronger contribution of seed traits to a specific axis of variability is suggestive of reproductive variability beyond the CSR strategy, as predicted by the twin-filter model. CSR classification (dpeaa)DE-He213 Plant functional type (dpeaa)DE-He213 Universal adaptive strategy theory (dpeaa)DE-He213 UAST (dpeaa)DE-He213 Worldwide leaf economics spectrum (dpeaa)DE-He213 Bottinelli, Arianna verfasserin aut Bassani, Ilaria verfasserin aut Ceriani, Roberta M. verfasserin aut Cerabolini, Bruno E. L. verfasserin aut Enthalten in Plant ecology Dordrecht [u.a.] : Springer Science + Business Media B.V, 1997 215(2014), 11 vom: 10. Aug., Seite 1351-1359 (DE-627)271177578 (DE-600)1479167-5 1573-5052 nnns volume:215 year:2014 number:11 day:10 month:08 pages:1351-1359 https://dx.doi.org/10.1007/s11258-014-0392-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2939 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 42.44 ASE AR 215 2014 11 10 08 1351-1359
allfieldsSound	10.1007/s11258-014-0392-1 doi (DE-627)SPR018353789 (SPR)s11258-014-0392-1-e DE-627 ger DE-627 rakwb eng 580 ASE 42.44 bkl Pierce, Simon verfasserin aut How well do seed production traits correlate with leaf traits, whole-plant traits and plant ecological strategies? 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The principal axes of variation in plant function include the economics spectrum and size variation, both of which are implicated in primary ecological strategies. However, it is unclear to what extent vegetative traits and primary strategies correlate with reproductive traits, particularly for seed production. Fifteen traits, including whole-plant, leaf and seed traits (mass, number, total mass of seeds, volume and variance), were measured for 371 species from a range of habitats in Italy. Classification of Grime’s competitor, stress-tolerator, ruderal (CSR) strategies was applied from leaf area, leaf dry matter content and specific leaf area data. Relationships between vegetative traits, CSR values and seed traits were determined using principal components analysis (PCA) and Pearson’s correlation coefficients. PCA1 was an axis of economics, significantly correlated (positively) with leaf carbon concentration and S-selection, and (negatively) with leaf nitrogen concentration, flowering period and R-selection, but not seed traits. PCA2 was a plant size axis, significantly positively correlated with canopy height, leaf mass, C-selection and to a lesser extent seed size traits and total mass of seeds. PCA3 was a specific seed size-seed output axis, correlated positively with seed mass and volume, and negatively with seed number and variance. The loading of seed production traits on a general plant size axis alongside C-selection demonstrates that seed production traits are integral to CSR strategies. However, the stronger contribution of seed traits to a specific axis of variability is suggestive of reproductive variability beyond the CSR strategy, as predicted by the twin-filter model. CSR classification (dpeaa)DE-He213 Plant functional type (dpeaa)DE-He213 Universal adaptive strategy theory (dpeaa)DE-He213 UAST (dpeaa)DE-He213 Worldwide leaf economics spectrum (dpeaa)DE-He213 Bottinelli, Arianna verfasserin aut Bassani, Ilaria verfasserin aut Ceriani, Roberta M. verfasserin aut Cerabolini, Bruno E. L. verfasserin aut Enthalten in Plant ecology Dordrecht [u.a.] : Springer Science + Business Media B.V, 1997 215(2014), 11 vom: 10. Aug., Seite 1351-1359 (DE-627)271177578 (DE-600)1479167-5 1573-5052 nnns volume:215 year:2014 number:11 day:10 month:08 pages:1351-1359 https://dx.doi.org/10.1007/s11258-014-0392-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2939 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 42.44 ASE AR 215 2014 11 10 08 1351-1359
language	English
source	Enthalten in Plant ecology 215(2014), 11 vom: 10. Aug., Seite 1351-1359 volume:215 year:2014 number:11 day:10 month:08 pages:1351-1359
sourceStr	Enthalten in Plant ecology 215(2014), 11 vom: 10. Aug., Seite 1351-1359 volume:215 year:2014 number:11 day:10 month:08 pages:1351-1359
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	CSR classification Plant functional type Universal adaptive strategy theory UAST Worldwide leaf economics spectrum
dewey-raw	580
isfreeaccess_bool	false
container_title	Plant ecology
authorswithroles_txt_mv	Pierce, Simon @@aut@@ Bottinelli, Arianna @@aut@@ Bassani, Ilaria @@aut@@ Ceriani, Roberta M. @@aut@@ Cerabolini, Bruno E. L. @@aut@@
publishDateDaySort_date	2014-08-10T00:00:00Z
hierarchy_top_id	271177578
dewey-sort	3580
id	SPR018353789
language_de	englisch
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author	Pierce, Simon
spellingShingle	Pierce, Simon ddc 580 bkl 42.44 misc CSR classification misc Plant functional type misc Universal adaptive strategy theory misc UAST misc Worldwide leaf economics spectrum How well do seed production traits correlate with leaf traits, whole-plant traits and plant ecological strategies?
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topic_title	580 ASE 42.44 bkl How well do seed production traits correlate with leaf traits, whole-plant traits and plant ecological strategies? CSR classification (dpeaa)DE-He213 Plant functional type (dpeaa)DE-He213 Universal adaptive strategy theory (dpeaa)DE-He213 UAST (dpeaa)DE-He213 Worldwide leaf economics spectrum (dpeaa)DE-He213
topic	ddc 580 bkl 42.44 misc CSR classification misc Plant functional type misc Universal adaptive strategy theory misc UAST misc Worldwide leaf economics spectrum
topic_unstemmed	ddc 580 bkl 42.44 misc CSR classification misc Plant functional type misc Universal adaptive strategy theory misc UAST misc Worldwide leaf economics spectrum
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title	How well do seed production traits correlate with leaf traits, whole-plant traits and plant ecological strategies?
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title_full	How well do seed production traits correlate with leaf traits, whole-plant traits and plant ecological strategies?
author_sort	Pierce, Simon
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author_browse	Pierce, Simon Bottinelli, Arianna Bassani, Ilaria Ceriani, Roberta M. Cerabolini, Bruno E. L.
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title_sort	how well do seed production traits correlate with leaf traits, whole-plant traits and plant ecological strategies?
title_auth	How well do seed production traits correlate with leaf traits, whole-plant traits and plant ecological strategies?
abstract	Abstract The principal axes of variation in plant function include the economics spectrum and size variation, both of which are implicated in primary ecological strategies. However, it is unclear to what extent vegetative traits and primary strategies correlate with reproductive traits, particularly for seed production. Fifteen traits, including whole-plant, leaf and seed traits (mass, number, total mass of seeds, volume and variance), were measured for 371 species from a range of habitats in Italy. Classification of Grime’s competitor, stress-tolerator, ruderal (CSR) strategies was applied from leaf area, leaf dry matter content and specific leaf area data. Relationships between vegetative traits, CSR values and seed traits were determined using principal components analysis (PCA) and Pearson’s correlation coefficients. PCA1 was an axis of economics, significantly correlated (positively) with leaf carbon concentration and S-selection, and (negatively) with leaf nitrogen concentration, flowering period and R-selection, but not seed traits. PCA2 was a plant size axis, significantly positively correlated with canopy height, leaf mass, C-selection and to a lesser extent seed size traits and total mass of seeds. PCA3 was a specific seed size-seed output axis, correlated positively with seed mass and volume, and negatively with seed number and variance. The loading of seed production traits on a general plant size axis alongside C-selection demonstrates that seed production traits are integral to CSR strategies. However, the stronger contribution of seed traits to a specific axis of variability is suggestive of reproductive variability beyond the CSR strategy, as predicted by the twin-filter model.
abstractGer	Abstract The principal axes of variation in plant function include the economics spectrum and size variation, both of which are implicated in primary ecological strategies. However, it is unclear to what extent vegetative traits and primary strategies correlate with reproductive traits, particularly for seed production. Fifteen traits, including whole-plant, leaf and seed traits (mass, number, total mass of seeds, volume and variance), were measured for 371 species from a range of habitats in Italy. Classification of Grime’s competitor, stress-tolerator, ruderal (CSR) strategies was applied from leaf area, leaf dry matter content and specific leaf area data. Relationships between vegetative traits, CSR values and seed traits were determined using principal components analysis (PCA) and Pearson’s correlation coefficients. PCA1 was an axis of economics, significantly correlated (positively) with leaf carbon concentration and S-selection, and (negatively) with leaf nitrogen concentration, flowering period and R-selection, but not seed traits. PCA2 was a plant size axis, significantly positively correlated with canopy height, leaf mass, C-selection and to a lesser extent seed size traits and total mass of seeds. PCA3 was a specific seed size-seed output axis, correlated positively with seed mass and volume, and negatively with seed number and variance. The loading of seed production traits on a general plant size axis alongside C-selection demonstrates that seed production traits are integral to CSR strategies. However, the stronger contribution of seed traits to a specific axis of variability is suggestive of reproductive variability beyond the CSR strategy, as predicted by the twin-filter model.
abstract_unstemmed	Abstract The principal axes of variation in plant function include the economics spectrum and size variation, both of which are implicated in primary ecological strategies. However, it is unclear to what extent vegetative traits and primary strategies correlate with reproductive traits, particularly for seed production. Fifteen traits, including whole-plant, leaf and seed traits (mass, number, total mass of seeds, volume and variance), were measured for 371 species from a range of habitats in Italy. Classification of Grime’s competitor, stress-tolerator, ruderal (CSR) strategies was applied from leaf area, leaf dry matter content and specific leaf area data. Relationships between vegetative traits, CSR values and seed traits were determined using principal components analysis (PCA) and Pearson’s correlation coefficients. PCA1 was an axis of economics, significantly correlated (positively) with leaf carbon concentration and S-selection, and (negatively) with leaf nitrogen concentration, flowering period and R-selection, but not seed traits. PCA2 was a plant size axis, significantly positively correlated with canopy height, leaf mass, C-selection and to a lesser extent seed size traits and total mass of seeds. PCA3 was a specific seed size-seed output axis, correlated positively with seed mass and volume, and negatively with seed number and variance. The loading of seed production traits on a general plant size axis alongside C-selection demonstrates that seed production traits are integral to CSR strategies. However, the stronger contribution of seed traits to a specific axis of variability is suggestive of reproductive variability beyond the CSR strategy, as predicted by the twin-filter model.
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container_issue	11
title_short	How well do seed production traits correlate with leaf traits, whole-plant traits and plant ecological strategies?
url	https://dx.doi.org/10.1007/s11258-014-0392-1
remote_bool	true
author2	Bottinelli, Arianna Bassani, Ilaria Ceriani, Roberta M. Cerabolini, Bruno E. L.
author2Str	Bottinelli, Arianna Bassani, Ilaria Ceriani, Roberta M. Cerabolini, Bruno E. L.
ppnlink	271177578
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hochschulschrift_bool	false
doi_str	10.1007/s11258-014-0392-1
up_date	2024-07-03T19:05:18.686Z
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How well do seed production traits correlate with leaf traits, whole-plant traits and plant ecological strategies?

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