Decomposing leaf mass into metabolic and structural components explains divergent patterns of trait variation within and among plant species DOI Creative Commons
Masatoshi Katabuchi, Kaoru Kitajima, S. Joseph Wright‬

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2017, Номер unknown

Опубликована: Март 22, 2017

Abstract Across the global flora, interspecific variation in photosynthetic and metabolic rates depends more strongly on leaf area than mass. In contrast, intraspecific these is mass-dependent. These contrasting patterns suggest that causes of mass per (LMA) may be fundamentally different within vs. among species. We developed a statistical modeling framework to decompose LMA into two conceptual components – LMAm (which determines capacity dark respiration) structural LMAs toughness potential lifespan) - using trait data from tropical forests Panama leaf-trait database. Decomposing improves predictions (photosynthesis, respiration, lifespan). show strong area-dependence traits across species can result multiple factors, including high variance and/or slow increase with increasing LMAm. mass-dependence results sunny shady conditions. were nearly independent each other both datasets. Synthesis : Our functional multi-dimensional biogeochemical models should treat separately.

Язык: Английский

Environmental versus phylogenetic controls on leaf nitrogen and phosphorous concentrations in vascular plants DOI Creative Commons
Di Tian, Zhengbing Yan, Bernhard Schmid

и другие.

Nature Communications, Год журнала: 2024, Номер 15(1)

Опубликована: Июнь 24, 2024

Abstract Global patterns of leaf nitrogen (N) and phosphorus (P) stoichiometry have been interpreted as reflecting phenotypic plasticity in response to the environment, or an overriding effect distribution species growing their biogeochemical niches. Here, we balance these contrasting views. We compile a global dataset 36,413 paired observations N P concentrations, taxonomy 45 environmental covariates, covering 7,549 sites 3,700 species, investigate how identity variables control variations mass-based N:P ratio. find within-species variation contributes around half total variation, with 29%, 31%, 22% N, P, respectively, explained by variables. Within-species along gradients varies across is highest for lowest N. identified effects on using random forest models, whereas were largely missed widely used linear mixed-effect models. Our analysis demonstrates substantial influence environment driving plastic responses within which challenges reports fixed niche importance distributions shaping P.

Язык: Английский

Процитировано

12
Leaf nitrogen from the perspective of optimal plant function DOI Creative Commons
Ning Dong, I. Colin Prentice, Ian J. Wright

и другие.

Journal of Ecology, Год журнала: 2022, Номер 110(11), С. 2585 - 2602

Опубликована: Июль 18, 2022

Leaf dry mass per unit area (LMA), carboxylation capacity (

Язык: Английский

Процитировано

35
Principles for satellite monitoring of vegetation carbon uptake DOI
I. Colin Prentice, Manuela Balzarolo, Keith J. Bloomfield

и другие.

Nature Reviews Earth & Environment, Год журнала: 2024, Номер 5(11), С. 818 - 832

Опубликована: Окт. 29, 2024

Язык: Английский

Процитировано

8
Shrub Invasion Overrides the Effect of Imposed Drought on the Photosynthetic Capacity and Physiological Responses of Mediterranean Cork Oak Trees DOI Creative Commons
Raquel Lobo‐do‐Vale,

Teresa Rafael,

Simon Haberstroh

и другие.

Plants, Год журнала: 2023, Номер 12(8), С. 1636 - 1636

Опубликована: Апрель 13, 2023

Mediterranean ecosystems face threats from both climate change and shrub invasion. As cover increases, competition for water intensifies, exacerbating the negative effects of drought on ecosystem functioning. However, research into combined invasion tree carbon assimilation has been limited. We used a cork oak (Quercus suber) woodland to investigate by gum rockrose (Cistus ladanifer) photosynthetic capacity. established factorial experiment imposed (ambient rain exclusion) (invaded non-invaded) measured leaf potential, stomatal conductance photosynthesis as well capacity in over one year. observed distinct detrimental physiological responses trees throughout study period. Despite drought, impact was more pronounced, resulting significant reduction 57% during summer. Stomatal non-stomatal limitations were under moderate species. Our findings provide knowledge functioning can be improve representation terrestrial biosphere models.

Язык: Английский

Процитировано

13
Global leaf‐trait mapping based on optimality theory DOI Creative Commons
Ning Dong, Benjamin Dechant, Han Wang

и другие.

Global Ecology and Biogeography, Год журнала: 2023, Номер 32(7), С. 1152 - 1162

Опубликована: Апрель 14, 2023

Abstract Aim Leaf traits are central to plant function, and key variables in ecosystem models. However recently published global trait maps, made by applying statistical or machine‐learning techniques large compilations of environmental data, differ substantially from one another. This paper aims demonstrate the potential an alternative approach, based on eco‐evolutionary optimality theory, yield predictions spatio‐temporal patterns leaf that can be independently evaluated. Innovation Global community‐mean specific area (SLA) photosynthetic capacity ( V cmax ) predicted climate via existing Then nitrogen per unit N mass inferred using their (previously derived) empirical relationships SLA . Trait data thus reserved for testing model across sites. Temporal trends also predicted, as consequences change, compared those leaf‐level measurements and/or remote‐sensing methods, which increasingly important source information variation traits. Main conclusions Model evaluated against site‐mean > 2,000 sites Plant database yielded R 2 = 73% SLA, 38% 28% Declining species‐level , increasing community‐level have both been reported were correctly predicted. Leaf‐trait mapping theory holds promise macroecological applications, including improved understanding community leaf‐trait responses change.

Язык: Английский

Процитировано

12
Reimagining Earth in the Earth System DOI Creative Commons
Gordon B. Bonan,

Oliver Lucier,

Deborah R. Coen

и другие.

Journal of Advances in Modeling Earth Systems, Год журнала: 2024, Номер 16(8)

Опубликована: Авг. 1, 2024

Abstract Terrestrial, aquatic, and marine ecosystems regulate climate at local to global scales through exchanges of energy matter with the atmosphere assist change mitigation nature‐based solutions. Climate science is no longer a study physics oceans, but also ecology biosphere. This promise Earth system science: transcend academic disciplines enable interacting physics, chemistry, biology planet. However, long‐standing tension in protecting, restoring, managing forest purposely improve evidences difficulties interdisciplinary science. For four centuries, management for betterment was argued, legislated, ultimately dismissed, when nineteenth century atmospheric scientists narrowly defined exclusion ecology. Today's science, its roots models climate, unfolds similar ways past. With models, geoscientists are again defining system. Here we reframe so that biosphere equally integrated fluid prediction planetary stewardship. Central this need overcome an intellectual heritage elevates geoscience marginalizes land knowledge. The call kilometer‐scale ocean without concomitant scientific computational investment biosphere, perpetuates geophysical view will not fully provide comprehensive actionable information needed changing climate.

Язык: Английский

Процитировано

5
Global patterns of plant functional traits and their relationships to climate DOI Creative Commons
Jiaze Li, I. Colin Prentice

Communications Biology, Год журнала: 2024, Номер 7(1)

Опубликована: Сен. 13, 2024

Язык: Английский

Процитировано

5
Soil Nitrogen Supply Exerts Largest Influence on Leaf Nitrogen in Environments with the Greatest Leaf Nitrogen Demand DOI
Alissar Cheaïb, Elizabeth F. Waring, Risa McNellis

и другие.

Ecology Letters, Год журнала: 2025, Номер 28(1)

Опубликована: Янв. 1, 2025

Accurately representing the relationships between nitrogen supply and photosynthesis is crucial for reliably predicting carbon-nitrogen cycle coupling in Earth System Models (ESMs). Most ESMs assume positive correlations amongst soil supply, leaf content, photosynthetic capacity. However, demand may influence response to supply; thus, responses are expected be largest environments where greatest. Using a nutrient addition experiment replicated across 26 sites spanning four continents, we demonstrated that climate variables were stronger predictors of content than supply. Leaf increased more strongly with regions highest theoretical demand, increasing colder drier warmer wetter environments. Thus, primarily influenced by climatic gradients an insight could improve ESM predictions.

Язык: Английский

Процитировано

0
Nanoscale non-biochar formulations of banana peel layers for comparison of in vitro adsorption and release of ammonium with demonstration of fertilizing action DOI
Himarati Mondal, Charli Kaushal, Subramanian Sankaranarayanan

и другие.

Bioresource Technology Reports, Год журнала: 2025, Номер unknown, С. 102052 - 102052

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Nitrogen concentrations in boreal and temperate tree tissues vary with tree age/size, growth rate, and climate DOI Creative Commons
Martin Thurner, Kailiang Yu, Stefano Manzoni

и другие.

Biogeosciences, Год журнала: 2025, Номер 22(5), С. 1475 - 1493

Опубликована: Март 18, 2025

Abstract. Photosynthesis, growth, and plant maintenance respiration are closely related to tree tissue nitrogen (N) concentrations. While earlier studies of the variation in N concentrations underlying controls have mostly focused on leaves, here we identify large-scale concentration other compartments for first time. This is achieved by constructing analysing a novel database stems, roots, branches covering all common Northern Hemisphere boreal temperate genera, combined with data leaves from existing databases. allows us explore abiotic (climate, soil concentration) biotic (tree age/size, leaf type, growth rate) concentration. We find that decrease increasing age (or size) significantly higher deciduous compared evergreen trees tissues. Low rates or unfavourable climate conditions (very cold dry climate) (the latter only needleleaf trees) but not stem concentration, indicating their effects allocation. Plant traits environmental together explain very large parts These results suggest changes distribution species, extreme climate, induced change, forest management, disturbances, will substantial consequences carbon (C) sequestration potential forests altering expect expansion species better adapted European result tissues elevated allocation fractions which might lead productivity also respiration. The identified relationships need be represented dynamic global vegetation models (DGVMs) estimate future limitation C cycle.

Язык: Английский

Процитировано

0