Which is a better predictor of plant traits: temperature or precipitation?

Moles, Angela T.; Perkins, Sarah E.; Laffan, Shawn W.; Flores‐Moreno, Habacuc; Awasthy, Monica; Tindall, Marianne L.; Sack, Lawren; Pitman, A. J.; Kattge, Jens; Aarssen, Lonnie W.; Anand, Madhur; Bahn, Michael; Blonder, Benjamin; Cavender‐Bares, Jeannine; Cornelissen, Johannes H. C.; Cornwell, William K.; Dı́az, Sandra; Dickie, John B.; Freschet, Grégoire T.; Griffiths, Joshua G.; Gutiérrez, Álvaro G.; Hemmings, Frank A.; Hickler, Thomas; Hitchcock, Timothy D.; Keighery, Matthew; Kleyer, Michael; Kurokawa, Hiroko; Leishman, Michelle R.; Liu, Kenwin; Niinemets, Ülo; Онипченко, В. Г.; Onoda, Yusuke; Peñuelas, Josep; Pillar, Valério D.; Reich, Peter B.; Shiodera, Satomi; Siefert, Andrew; Sosinski, E. E.; Soudzilovskaia, Nadejda A.; Swaine, Emily; Swenson, Nathan G.; Bodegom, Peter M. van; Warman, Laura; Weiher, Evan; Wright, Ian J.; Zhang, Hongxiang; Zobel, Martin; Bonser, Stephen P.

doi:10.1111/jvs.12190

Cited by 375 publications

(398 citation statements)

References 146 publications

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“…Compared with SLA and LDMC, higher variation in LA and LT among co-existing species within a site (> 49%, Figure 4) may result in relatively weak spatial variation. Similarly, in an analysis of global leaf traits, Moles et al (2014) found that the majority of variation occurred at the local scale or within communities, e.g., 34% for plant height and 43% for LA. The larger variance occurring within sites may be the result of micro-site variability, phylogenetic or historical effects, or biotic interactions and competition (Ordonez et al, 2010).…”

Section: Latitudinal Variation In Species-level Leaf Traits and The Cmentioning

confidence: 99%

“…Through regulating the metabolic activity and carbon allocation of plants (Moles et al, 2014), climate directly influences the morphology of leaves. In addition, climate may influence the geographic distribution of leaf traits indirectly by shaping the biogeography of the vegetation as well as soil nutrient availability (Chapin et al, 2002;Ordonez et al, 2009).…”

Section: Latitudinal Variation In Species-level Leaf Traits and The Cmentioning

confidence: 99%

“…In the past few decades, a number of scientists have investigated the spatial patterns of leaf functional traits along environmental gradients and demonstrated that their geographic patterns were shaped by environmental factors (climatic and edaphic gradients) and phylogenetic differences (Reich et al, 2007;Poorter et al, 2009;Ordonez et al, 2010;Hodgson et al, 2011;Moles et al, 2014). For example, leaves in habitats characterized by high temperature and insolation or water limitation generally show high LT and LDMC (Niinemets, 2001) but low SLA .…”

Section: Introductionmentioning

confidence: 99%

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Latitudinal variation of leaf morphological traits from species to communities along a forest transect in eastern China

Wang

et al. 2016

J. Geogr. Sci.

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Abstract:Comprehensive information on geographic patterns of leaf morphological traits in Chinese forests is still scarce. To explore the spatial patterns of leaf traits, we investigated leaf area (LA), leaf thickness (LT), specific leaf area (SLA), and leaf dry matter content (LDMC) across 847 species from nine typical forests along the North-South Transect of Eastern China (NSTEC) between July and August 2013, and also calculated the community weighted means (CWM) of leaf traits by determining the relative dominance of each species. Our results showed that, for all species, the means (± SE) of LA, LT, SLA, and LDMC were 2860.01 ± 135.37 mm 2 , 0.17 ± 0.003 mm, 20.15 ± 0.43 m 2 kg -1 , and 316.73 ± 3.81 mg g -1 , respectively. Furthermore, latitudinal variation in leaf traits differed at the species and community levels. Generally, at the species level, SLA increased and LDMC decreased as latitude increased, whereas no clear latitudinal trends among LA or LT were found, which could be the result of shifts in plant functional types. When scaling up to the community level, more significant spatial patterns of leaf traits were observed (R 2 = 0.46-0.71), driven by climate and soil N content. These results provided synthetic data compilation and analyses to better parameterize complex ecological models in the future, and emphasized the importance of scaling-up when studying the biogeographic patterns of plant traits.

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Section: Latitudinal Variation In Species-level Leaf Traits and The Cmentioning

confidence: 99%

Section: Latitudinal Variation In Species-level Leaf Traits and The Cmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Latitudinal variation of leaf morphological traits from species to communities along a forest transect in eastern China

Wang

et al. 2016

J. Geogr. Sci.

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“…For LES rules to work in biospheric models, relationships between the key plant traits must be consistent (or at least known) across prevailing environmental conditions, such as climate and substrate fertility (7,8). However, the geography of-and thus the geophysical controls over-LES traits remain poorly understood (9).…”

mentioning

confidence: 99%

Large-scale climatic and geophysical controls on the leaf economics spectrum

Asner

Knapp

Anderson

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

108

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Leaf economics spectrum (LES) theory suggests a universal tradeoff between resource acquisition and storage strategies in plants, expressed in relationships between foliar nitrogen (N) and phosphorus (P), leaf mass per area (LMA), and photosynthesis. However, how environmental conditions mediate LES trait interrelationships, particularly at large biospheric scales, remains unknown because of a lack of spatially explicit data, which ultimately limits our understanding of ecosystem processes, such as primary productivity and biogeochemical cycles. We used airborne imaging spectroscopy and geospatial modeling to generate, to our knowledge, the first biospheric maps of LES traits, here centered on 76 million ha of Andean and Amazonian forest, to assess climatic and geophysical determinants of LES traits and their interrelationships. Elevation and substrate were codominant drivers of leaf trait distributions. Multiple additional climatic and geophysical factors were secondary determinants of plant traits. Anticorrelations between N and LMA followed general LES theory, but topo-edaphic conditions strongly mediated and, at times, eliminated this classic relationship. We found no evidence for simple P-LMA or N-P trade-offs in forest canopies; rather, we mapped a continuum of N-P-LMA interactions that are sensitive to elevation and temperature. Our results reveal nested climatic and geophysical filtering of LES traits and their interrelationships, with important implications for predictions of forest productivity and acclimation to rapid climate change.Amazon basin | functional biogeography | leaf traits | plant traits | tropical forests

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“…, 为有效地加强植物体内的水分运输与利用效率和进一步增强现实竞争力, 植物在叶片的叶肉组织和叶脉网络系统的构造上进行权衡投资 (Wilson et al, 1999;Reich & Cornelissen, 2014), 促使植物调整叶脉结构和叶片厚度的生物量分配和叶片构型构建, 从而提高植物对土壤水分的有效利用 (Moles et al, 2014;王瑞丽等, 2015), 实现叶片生理特性和环境空间异质性的精 (1)植物光合参数测定。于8月15-18日(代表植物生长旺盛期), 选择晴朗天气的9:00-12:00进行气…”

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