Trees, Год журнала: 2024, Номер unknown
Опубликована: Сен. 14, 2024
Язык: Английский
Global Ecology and Biogeography, Год журнала: 2024, Номер 33(11)
Опубликована: Авг. 21, 2024
ABSTRACT Aim Heterogeneity of the Earth's abiotic surface and subsurface (geodiversity) is increasingly recognised as an important driver biodiversity. Theoretically, species' traits should match to conditions in local environment. Here, we test this for first time at a continental extent by analysing relationships between geodiversity plant trait diversity forested vegetation plots across Europe, three plot sizes (100, 400 1000 m 2 ). Location Europe. Time Period 1930–present. Major Taxa Studied Plants. Methods We analysed geodiversity–trait Europe 1 km resolution using 2637 from sPlotOpen database. computed (topographic, landform, wetness soil physical chemical heterogeneity) variables, combined with climate land use data analyse direct indirect effects on diversity, structural equation modelling. Results Topographic heterogeneity, annual temperature lesser degree, showed significant positive weak moderately strong association richness evenness all sizes. also detected multiple highly but components dimensions. Some notable exceptions include moderate negative silt heterogeneity divergence TWI sand evenness, respectively. Explained variance was low models, higher models plots. Evidence extremely weak. Main Conclusions Our findings suggest variable‐specific dominated topographic heterogeneity. Importantly, precision limited, are thus trying detect signal amongst high noise. Hence, signals may indicate more underlying patterns than our effect suggest.
Язык: Английский
Процитировано
4
New Phytologist, Год журнала: 2025, Номер unknown
Опубликована: Фев. 11, 2025
Summary Theory suggests that the dominance of resprouting and seeding, two key mechanisms through which plants persist with recurrent fire, both depend on other traits vary fire regime. However, these patterns remain largely untested over broad scales. We analysed relationships between mean frequency, derived from MODIS satellite data, seeding strategies, respectively, for c . 10 000 woody herbaceous species in Australia. tested whether leaf economics differed among strategies. Probability exhibits a monotonic increase frequency plants; plants, hump‐shaped relationship is observed. hump shape plants. In probability was associated higher mass per area (LMA), lower LMA. A broader range investment strategies occurred Our findings provide largest empirical support to date theory connecting response strategy frequency. Woody seeders appear constrained by immaturity senescence risk. Herbaceous showed different placements along spectrum, suggesting an important interaction growth form rate seeders.
Язык: Английский
Процитировано
0
Plant Cell & Environment, Год журнала: 2024, Номер 47(12), С. 4849 - 4869
Опубликована: Авг. 5, 2024
Abstract Future changes in climate, together with rising atmospheric , may reorganise the functional composition of ecosystems. Without long‐term historical data, predicting how traits will respond to environmental conditions—in particular, water availability—remains a challenge. While eco‐evolutionary optimality theory (EEO) can provide insight into plants adapt their environment, EEO approaches date have been formulated on assumption that maximise carbon gain, which omits important role tissue construction and size determining growth rates fitness. Here, we show an expanded optimisation framework, focussed individual rate, enables us explain shifts four key traits: leaf mass per area, sapwood area ratio (Huber value), wood density sapwood‐specific conductivity response soil moisture, aridity, light availability. In predict as conditions become increasingly dry, height‐growth optimising shift from resource‐acquisitive strategies resource‐conservative strategies, consistent empirical responses across current gradients rainfall. These findings both turnover species along existing changing future highlight importance assimilation shaping vegetation climates.
Язык: Английский
Процитировано
1
bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown
Опубликована: Дек. 20, 2023
Abstract Tabular records of plant trait data are essential for diverse research purposes. Here we present scorings a trio core traits, growth form, woodiness, and life history, nearly all accepted taxon concepts included in the Australian Plant Census (APC). This dataset is predominately derived from Australia’s state national floras, supplemented by taxonomic literature web resources. In total, 29,993 species infraspecific taxa were scored 30,279 30,056 with as displaying single or multiple values, appropriate. resource will enable rapid assessment responses to disturbance events new biogeographic analyses distributions.
Язык: Английский
Процитировано
3
bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown
Опубликована: Янв. 26, 2024
1 Abstract Climate change is expected to bring about changes in precipitation and temperature regimes that, together with rising atmospheric CO 2 concentrations, will likely reorganise the functional trait composition of ecosystems. Predicting plant responses emerging environmental conditions including, particular, water availability, a tremendous challenge, but one that eco-evolutionary optimality theory (EEO) can help us undertake. However, most EEO approaches are based on hypothesis traits selected maximise carbon assimilation which omits important role size growth plays determining fitness outcomes. Using height-growth framework, we predict magnitude directional shifts four key traits: leaf mass per area, sapwood area ratio (Huber value), wood density sapwood-specific conductivity response variation soil moisture aridity, light availability. Consistent empirical patterns, optima shift from resource-acquisitive strategies characterised by low tissue constructions costs high rates turnover resource-conservative - greater xylem embolism resistance as become increasingly dry. The model use here highlights both construction jointly play predicting environment, laying groundwork for future models aiming ecosystems global change.
Язык: Английский
Процитировано
0
Australian Journal of Botany, Год журнала: 2024, Номер 72(4)
Опубликована: Июнь 12, 2024
Tabular records of plant-trait data are essential for diverse research purposes. Here we present scorings a trio core plant traits, growth form, woodiness and life history, nearly all (>99%) accepted taxon concepts included in the Australian Plant Census (APC). This dataset is predominantly derived from Australia’s state national floras, supplemented by taxonomic literature web resources. In total, 29,993 species infraspecific taxa were scored 30,279 30,056 with as displaying single or multiple trait values, appropriate. We provide sample R code that shows how to access interrogate dataset. resource will enable rapid assessment responses disturbance events new biogeographic analyses distributions, better understandings evolutionary trajectories, ecological strategies.
Язык: Английский
Процитировано
0
Trees, Год журнала: 2024, Номер unknown
Опубликована: Сен. 14, 2024
Язык: Английский
Процитировано
0