A global method for calculating plant CSR ecological strategies applied across biomes world-wide

A global method for calculating plant CSR ecological strategies applied across biomes world-wide
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DOI:
10.1111/1365-2435.12722
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发表时间:
2017-02-01
期刊:
影响因子:
5.2
通讯作者:
Tampucci, Duccio
Tampucci, Duccio
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Pierce, Simon;Negreiros, Daniel;Tampucci, Duccio

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1.竞争者、胁迫耐受者、杂草(CSR)理论是一个重要的植物功能策略理论,以前被应用于地方植物区系。在全球范围内,广泛的地理和系统发育覆盖的叶面积(LA),叶干物质含量(LDMC)和比叶面积(SLA)的可用值(分别代表,在植物大小和保守与收购资源经济的种间变异)承诺的CSR战略在整个生物群落,包括热带森林托管地球的大部分多样性的普遍应用。我们使用3068个维管植物(代表198个科,六大洲和14个生物群落)的性状变异创建了一个全球校准的CSR策略计算器工具,并调查了全球生物群落的策略-环境关系。由于全球性状可用性的差异,共惯性分析被用来检查之间的对应关系的“广泛的地理覆盖范围,少数性状”的数据集和“有限的覆盖范围,许多性状”的371个物种的子集,其中14个整株,开花,种子和叶片性状(包括叶片氮含量)。利用第四角和RLQ分析研究了生物群落内的CSR战略/环境关系,以确定战略/气候专业化。在14个性状的多变量空间与仅使用LA、LDMC和SLA时的一致性显著(RV = 0.597; P < 0.0001)。生物群系,如热带潮湿阔叶林表现出战略收敛(即聚集在CS/CSR中位数; C:S:R = 43:42:15%),与CS选择与温暖,稳定的情况下(温度季节性较小),更大的年降水量和潜在的蒸散。其他生物群落的特征是策略分歧:例如,沙漠中的旱生多年生植物如Larrea divaricata,被归类为S-选择(C:S:R = 1:99:0%)和广泛R-选择的一年生草本植物(例如Claytonia perfoliata; R/CR-选择; C:S:R = 21:0:79%)。策略收敛是明显的几个生长习惯(如树木),但不是其他(杂类)。维管植物的CSR策略现在可以在全球范围内和生物群落之间进行定量比较。通过已知的潜在的叶性状和生长速率之间的联系,草食性和分解率,这种方法和它阐明的战略环境的关系将有助于预测哪种物种可能聚集在地球化学循环,气候和土地利用的变化。
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.