AusTraits – a curated plant trait database for the Australian flora DOI Creative Commons
Daniel S. Falster, Rachael V. Gallagher, Elizabeth Wenk

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2021, Номер unknown

Опубликована: Янв. 7, 2021

Abstract We introduce the AusTraits database - a compilation of measurements plant traits for taxa in Australian flora (hereafter AusTraits). synthesises data on 375 across 29230 from field campaigns, published literature, taxonomic monographs, and individual descriptions. Traits vary scope physiological measures performance (e.g. photosynthetic gas exchange, water-use efficiency) to morphological parameters leaf area, seed mass, height) which link aspects ecological variation. contains curated harmonised individual-, species- genus-level observations coupled to, where available, contextual information site properties. This descriptor provides version 2.1.0 937243 trait-by-taxa combinations. envision as an ongoing collaborative initiative easily archiving sharing trait increase our collective understanding flora.

Язык: Английский

Intraspecific trait variation in plants: a renewed focus on its role in ecological processes DOI Open Access
Andrea C. Westerband, Jennifer L. Funk, Kasey E. Barton

и другие.

Annals of Botany, Год журнала: 2021, Номер 127(4), С. 397 - 410

Опубликована: Янв. 27, 2021

Investigating the causes and consequences of intraspecific trait variation (ITV) in plants is not novel, as it has long been recognized that such shapes biotic abiotic interactions. While evolutionary population biology have extensively investigated ITV, only last 10 years interest ITV surged within community comparative ecology.

Язык: Английский

Процитировано

261

Eco‐evolutionary optimality as a means to improve vegetation and land‐surface models DOI Creative Commons
Sandy P. Harrison, Wolfgang Crämer, Oskar Franklin

и другие.

New Phytologist, Год журнала: 2021, Номер 231(6), С. 2125 - 2141

Опубликована: Июнь 16, 2021

Summary Global vegetation and land‐surface models embody interdisciplinary scientific understanding of the behaviour plants ecosystems, are indispensable to project impacts environmental change on interactions between climate. However, systematic errors persistently large differences among carbon water cycle projections by different highlight limitations current process formulations. In this review, focusing core plant functions in terrestrial cycles, we show how unifying hypotheses derived from eco‐evolutionary optimality (EEO) principles can provide novel, parameter‐sparse representations processes. We present case studies that demonstrate EEO generates parsimonious core, leaf‐level processes individually testable supported evidence. approaches photosynthesis primary production, dark respiration stomatal ripe for implementation global models. other important traits, including leaf economics spectrum applications at community level active research areas. Independently tested modules emerging could profitably be integrated into modelling frameworks account multiple time scales which communities adjust change.

Язык: Английский

Процитировано

171

AusTraits, a curated plant trait database for the Australian flora DOI Creative Commons
Daniel S. Falster, Rachael V. Gallagher, Elizabeth Wenk

и другие.

Scientific Data, Год журнала: 2021, Номер 8(1)

Опубликована: Сен. 30, 2021

Abstract We introduce the AusTraits database - a compilation of values plant traits for taxa in Australian flora (hereafter AusTraits). synthesises data on 448 across 28,640 from field campaigns, published literature, taxonomic monographs, and individual taxon descriptions. Traits vary scope physiological measures performance (e.g. photosynthetic gas exchange, water-use efficiency) to morphological attributes leaf area, seed mass, height) which link aspects ecological variation. contains curated harmonised individual- species-level measurements coupled to, where available, contextual information site properties experimental conditions. This article provides version 3.0.2 997,808 trait-by-taxon combinations. envision as an ongoing collaborative initiative easily archiving sharing trait data, also template other national or regional initiatives globally fill persistent gaps knowledge.

Язык: Английский

Процитировано

140

Global variation in the fraction of leaf nitrogen allocated to photosynthesis DOI Creative Commons
Xiangzhong Luo, Trevor F. Keenan, Jing M. Chen

и другие.

Nature Communications, Год журнала: 2021, Номер 12(1)

Опубликована: Авг. 11, 2021

Abstract Plants invest a considerable amount of leaf nitrogen in the photosynthetic enzyme ribulose-1,5-bisphosphate carboxylase-oxygenase (RuBisCO), forming strong coupling and capacity. Variability nitrogen-photosynthesis relationship indicates different use strategies plants (i.e., fraction allocated to RuBisCO; fLNR), however, reason for this remains unclear as widely are adopted photosynthesis models. Here, we comprehensive database situ observations, remote sensing product chlorophyll ancillary climate soil data, examine global distribution fLNR using random forest model. We find is 18.2 ± 6.2%, with its variation largely driven by negative dependence on mass per area positive phosphorus. Some factors light, atmospheric dryness, pH, sand) have influences regionally. This study provides insight into globally an improved understanding potential.

Язык: Английский

Процитировано

133

Towards a unified theory of plant photosynthesis and hydraulics DOI Creative Commons
Jaideep Joshi, Benjamin D. Stocker, Florian Hofhansl

и другие.

Nature Plants, Год журнала: 2022, Номер 8(11), С. 1304 - 1316

Опубликована: Окт. 27, 2022

The global carbon and water cycles are governed by the coupling of CO2 vapour exchanges through leaves terrestrial plants, controlled plant adaptations to balance gains hydraulic risks. We introduce a trait-based optimality theory that unifies treatment stomatal responses biochemical acclimation plants environments changing on multiple timescales. Tested with experimental data from 18 species, our model successfully predicts simultaneous decline in assimilation rate, conductance photosynthetic capacity during progressive soil drought. It also correctly dependencies gas exchange atmospheric pressure deficit, temperature CO2. Model predictions consistent widely observed empirical patterns, such as distribution strategies. Our unified opens new avenues for reliably modelling interactive effects drying rising photosynthesis transpiration. Using environments, this study builds leaves. This assimilation, droughts.

Язык: Английский

Процитировано

109

Leaf economics fundamentals explained by optimality principles DOI Creative Commons
Han Wang, I. Colin Prentice, Ian J. Wright

и другие.

Science Advances, Год журнала: 2023, Номер 9(3)

Опубликована: Янв. 18, 2023

The life span of leaves increases with their mass per unit area (LMA). It is unclear why. Here, we show that this empirical generalization (the foundation the worldwide leaf economics spectrum) a consequence natural selection, maximizing average net carbon gain over cycle. Analyzing two large trait datasets, evergreen and deciduous species diverse construction costs (assumed proportional to LMA) are selected by light, temperature, growing-season length in different, but predictable, ways. We quantitatively explain observed divergent latitudinal trends LMA how local distributions arise selection under different environmental conditions acting on pool. These results illustrate optimality principles can underpin new theory for plant geography terrestrial dynamics.

Язык: Английский

Процитировано

56

Global datasets of leaf photosynthetic capacity for ecological and earth system research DOI Creative Commons
Jing M. Chen, Rong Wang, Yihong Liu

и другие.

Earth system science data, Год журнала: 2022, Номер 14(9), С. 4077 - 4093

Опубликована: Сен. 7, 2022

Abstract. The maximum rate of Rubisco carboxylation (Vcmax) determines leaf photosynthetic capacity and is a key parameter for estimating the terrestrial carbon cycle, but its spatial information lacking, hindering global ecological research. Here, we convert chlorophyll content (LCC) retrieved from satellite data to Vcmax, based on plants' optimal distribution nitrogen between light harvesting pathways. We also derive Vcmax (GOME-2) observations sun-induced fluorescence (SIF) as proxy photosynthesis using assimilation technique. These two independent products agree well (r2=0.79,RMSE=15.46µmol m−2 s−1, P<0.001) compare with 3672 ground-based measurements (r2=0.69,RMSE=13.8µmol s−1 P<0.001 SIF; r2=0.55,RMSE=18.28µmol LCC). LCC-derived product used constrain retrieval TROPical Ozone Mission (TROPOMI) SIF produce an optimized both LCC information. distributions these are compatible computed optimality theory meteorological variables, importantly reveal additional influence land cover, irrigation, soil pH, capacity. satellite-based approaches primed play major role in ecosystem three remote sensing SIF, LCC, SIF+LCC available at https://doi.org/10.5281/zenodo.6466968 (Chen et al., 2022), code implementing https://github.com/SmithEcophysLab/optimal_vcmax_R https://doi.org/10.5281/zenodo.5899564 (last access: 31 August 2022) (Smith 2022).

Язык: Английский

Процитировано

59

Leaf morphological traits as adaptations to multiple climate gradients DOI Creative Commons
Han Wang, Runxi Wang, Sandy P. Harrison

и другие.

Journal of Ecology, Год журнала: 2022, Номер 110(6), С. 1344 - 1355

Опубликована: Март 22, 2022

Leaf morphological traits vary systematically along climatic gradients. However, recent studies in plant functional ecology have mainly analysed quantitative traits, while numerical models of species distributions and vegetation function focused on associated with resource acquisition; both ignore the wider significance leaf morphology.A dataset comprising 22 for 662 woody from 92 sites, representing all biomes present China, was subjected to multivariate analysis order identify leading dimensions trait covariation (correspondence analysis), quantify phylogenetic contributions (canonical correspondence variation partitioning) characterise co-occurring syndromes (

Язык: Английский

Процитировано

52

Hard and tough: the coordination between leaf mechanical resistance and drought tolerance DOI
Andrea Nardini

Flora, Год журнала: 2022, Номер 288, С. 152023 - 152023

Опубликована: Фев. 2, 2022

Язык: Английский

Процитировано

43

Biochar amendment alters root morphology of maize plant: Its implications in enhancing nutrient uptake and shoot growth under reduced irrigation regimes DOI Creative Commons

Heng Wan,

Xuezhi Liu,

Qimiao Shi

и другие.

Frontiers in Plant Science, Год журнала: 2023, Номер 14

Опубликована: Янв. 20, 2023

Biochar amendment provides multiple benefits in enhancing crop productivity and soil nutrient availability. However, whether biochar addition affects root morphology alters plant uptake shoot growth under different irrigation regimes remain largely unknown.

Язык: Английский

Процитировано

36