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A global method for calculating plant CSR ecological strategies applied across biomes world-wide
Pierce, Simon; Negreiros, Daniel; Cerabolini, Bruno E. L.; Kattge, Jens3; Diaz, Sandra4,5; Kleyer, Michael6; Shipley, Bill; Wright, Stuart Joseph8; Soudzilovskaia, Nadejda A.; Onipchenko, Vladimir G.; van Bodegom, Peter M.; Frenette-Dussault, Cedric; Weiher, Evan11; Pinho, Bruno X.; Cornelissen, Johannes H. C.; Grime, John Philip; Thompson, Ken; Hunt, Roderick15; Wilson, Peter J.; Buffa, Gabriella; Nyakunga, Oliver C.; Reich, Peter B.; Caccianiga, Marco20; Mangili, Federico20; Ceriani, Roberta M.; Luzzaro, Alessandra; Brusa, Guido2; Siefert, Andrew22; Barbosa, Newton P. U.; Chapin, Francis Stuart, III23; Cornwell, William K.; Fang, Jingyun25; Fernandes, Geraldo Wilson1,26; Garnier, Eric27; Le Stradic, Soizig28; Penuelas, Josep29,30; Melo, Felipe P. L.; Slaviero, Antonio16; Tabarelli, Marcelo12; Tampucci, Duccio20
2017
发表期刊FUNCTIONAL ECOLOGY
ISSN0269-8463
卷号31期号:2页码:444-457
摘要1. Competitor, stress-tolerator, ruderal (CSR) theory is a prominent plant functional strategy scheme previously applied to local floras. Globally, the wide geographic and phylogenetic coverage of available values of leaf area (LA), leaf dry matter content (LDMC) and specific leaf area (SLA) (representing, respectively, interspecific variation in plant size and conservative vs. acquisitive resource economics) promises the general application of CSR strategies across biomes, including the tropical forests hosting a large proportion of Earth's diversity. 2. We used trait variation for 3068 tracheophytes (representing 198 families, six continents and 14 biomes) to create a globally calibrated CSR strategy calculator tool and investigate strategy-environment relationships across biomes world-wide. 3. Due to disparity in trait availability globally, co-inertia analysis was used to check correspondence between a 'wide geographic coverage, few traits' data set and a 'restricted coverage, many traits' subset of 371 species for which 14 whole-plant, flowering, seed and leaf traits (including leaf nitrogen content) were available. CSR strategy/environment relationships within biomes were investigated using fourth-corner and RLQ analyses to determine strategy/climate specializations. 4. Strong, significant concordance (RV = 0.597; P < 0.0001) was evident between the 14 trait multivariate space and when only LA, LDMC and SLA were used. 5. Biomes such as tropical moist broadleaf forests exhibited strategy convergence (i.e. clustered around a CS/CSR median; C:S:R = 43: 42: 15%), with CS-selection associated with warm, stable situations (lesser temperature seasonality), with greater annual precipitation and potential evapotranspiration. Other biomes were characterized by strategy divergence: for example, deserts varied between xeromorphic perennials such as Larrea divaricata, classified as S-selected (C: S: R = 1:99:0%) and broadly R-selected annual herbs (e.g. Claytonia perfoliata; R/CR-selected; C:S:R = 21:0:79%). Strategy convergence was evident for several growth habits (e.g. trees) but not others (forbs). 6. The CSR strategies of vascular plants can now be compared quantitatively within and between biomes at the global scale. Through known linkages between underlying leaf traits and growth rates, herbivory and decomposition rates, this method and the strategy-environment relationships it elucidates will help to predict which kinds of species may assemble in response to changes in biogeochemical cycles, climate and land use.
关键词community assembly comparative ecology Grime's CSR triangle plant economics spectrum plant functional type survival strategy universal adaptive strategy theory
学科领域Environmental Sciences & Ecology
DOI10.1002/ecs2.1772
收录类别SCI
语种英语
WOS关键词FUNCTIONAL TYPES ; LEAF ECONOMICS ; TRAITS ; LIFE ; PATTERNS ; DIFFERENTIATION ; CLASSIFICATION ; SPECTRUM ; DATABASE ; SIZE
WOS记录号WOS:000400985300024
出版者WILEY
文献子类Article
出版地HOBOKEN
EISSN1365-2435
资助机构TRY initiative on plant traits ; DIVERSITAS ; IGBP ; Global Land Project ; UK Natural Environment Research Council (NERC) through its program QUESTUK Research & Innovation (UKRI)Natural Environment Research Council (NERC) ; French Foundation for Biodiversity Research (FRB) ; GIS 'Climat, Environnement et Societe' France ; Division Of Environmental BiologyNational Science Foundation (NSF)NSF - Directorate for Biological Sciences (BIO) [1234162] Funding Source: National Science Foundation
作者邮箱simon.pierce@unimi.it
作品OA属性gold
引用统计
被引频次:6[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ibcas.ac.cn/handle/2S10CLM1/22163
专题植被与环境变化国家重点实验室
作者单位1.Univ Milan, Dept Agr & Environm Sci DiSAA, Via G Celoria 2, I-20133 Milan, Italy
2.ICB Univ Fed Minas Gerais, Ecol Evolut & Biodiversidade DBG, CP 486, BR-30161970 Belo Horizonte, MG, Brazil
3.Univ Insubria, Dept Theoret & Appl Sci, Via JH Dunant 3, I-21100 Varese, Italy
4.Max Planck Inst Biogeochem, POB 100164, D-07701 Jena, Germany
5.Univ Nacl Cordoba, Inst Multidisciplinario Biol Vegetal CONICET UNC, Av Velez Sarsfield 299,2 Piso, RA-5000 Cordoba, Argentina
6.Univ Nacl Cordoba, FCEFyN, Av Velez Sarsfield 299,2 Piso, RA-5000 Cordoba, Argentina
7.Carl von Ossietzky Univ Oldenburg, Dept Biol Earth & Environm Sci, D-26111 Oldenburg, Germany
8.Univ Sherbrooke, Dept Biol, Sherbrooke, PQ J1K 2R1, Canada
9.Smithsonian Trop Res Inst, Balboa 084303092, Panama
10.Soudzilovskaia, Nadejda A.; van Bodegom, Peter M.] Leiden Univ, Inst Environm Sci CML, Einsteinweg 2, NL-2333 CC Leiden, Netherlands
11.Onipchenko, Vladimir G.] Moscow MV Lomonosov State Univ, Dept Geobot, Fac Biol, RU-119991 Moscow, Russia
12.Univ Wisconsin, Dept Biol, Eau Claire, WI 54702 USA
13.Univ Fed Pernambuco, Dept Bot, Cidade Univ, BR-50670901 Recife, PE, Brazil
14.Cornelissen, Johannes H. C.] Vrije Univ, Subdept Syst Ecol, De Boelelaan 1085, NL-1081 HV Amsterdam, Netherlands
15.Grime, John Philip; Thompson, Ken; Wilson, Peter J.] Univ Sheffield, Dept Anim & Plant Sci, Alfred Denny Bldg,Western Bank, Sheffield S10 2TN, S Yorkshire, England
16.Univ Exeter, Coll Life & Environm Sci, Innovat Ctr, Rennes Dr, Exeter EX4 4RN, Devon, England
17.Univ Ca Foscari Venice, Dept Environm Sci Informat & Stat, Campo Celestia 2737b Castello, I-30122 Venice, Italy
18.Nyakunga, Oliver C.] Mweka CAWM, Coll African Wildlife Management, POB 3031, Moshi, Tanzania
19.Reich, Peter B.] Univ Minnesota, Dept Forest Resources, 530 Cleveland Ave N, St Paul, MN 55108 USA
20.Reich, Peter B.] Univ Western Sydney, Hawkesbury Inst Environm, Penrith, NSW 2751, Australia
21.Univ Milan, Dept Biosci, Via G Celoria 26, I-20133 Milan, Italy
22.Ceriani, Roberta M.] Consorzio Parco Monte Barro, Ctr Flora Autoctona CFA, Native Flora Ctr, Via Bertarelli 11, I-23851 Galbiate, LC, Italy
23.Univ Calif Davis, Dept Evolut & Ecol, One Shields Ave, Davis, CA 95616 USA
24.Univ Alaska Fairbanks, Inst Arctic Biol, Dept Biol & Wildlife, Fairbanks, AK 99775 USA
25.Cornwell, William K.] Univ New South Wales, Sch Biol Earth & Environm Sci, Evolut & Ecol Res Ctr, Sydney, NSW 2052, Australia
26.Chinese Acad Sci, Inst Bot, Beijing 100093, Peoples R China
27.Stanford Univ, Dept Biol, Stanford, CA 94035 USA
28.CNRS, UMR 5175, CEFE, 1919 Route Mende, F-34293 Montpellier 5, France
29.Univ Liege, Biodivers & Landscape Unit, Gembloux Agrobio Tech, B-5030 Gembloux, Belgium
30.CREAF CEAB CSIC UAB, Global Ecol Unit, CSIC, Barcelona 08193, Catalonia, Spain
31.CREAF, Barcelona 08193, Catalonia, Spain
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Pierce, Simon,Negreiros, Daniel,Cerabolini, Bruno E. L.,et al. A global method for calculating plant CSR ecological strategies applied across biomes world-wide[J]. FUNCTIONAL ECOLOGY,2017,31(2):444-457.
APA Pierce, Simon.,Negreiros, Daniel.,Cerabolini, Bruno E. L..,Kattge, Jens.,Diaz, Sandra.,...&Tampucci, Duccio.(2017).A global method for calculating plant CSR ecological strategies applied across biomes world-wide.FUNCTIONAL ECOLOGY,31(2),444-457.
MLA Pierce, Simon,et al."A global method for calculating plant CSR ecological strategies applied across biomes world-wide".FUNCTIONAL ECOLOGY 31.2(2017):444-457.
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