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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 |
ISSN | 0269-8463 |
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 |
DOI | 10.1002/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 |
EISSN | 1365-2435 |
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 | |
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 |
推荐引用方式 GB/T 7714 | 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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