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88 results for “tropical montane forest”

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dryad36/100

Data from: Contrasting sap flow characteristics between pioneer and late-successional tree species in secondary tropical montane forests of Eastern Himalaya, India

Abstract The interactive role of life-history traits and environmental forcing on plant-water relations is crucial for understanding species response to climate change but remains poorly understood in secondary tropical montane forests (TMFs). Comparing contrasting life-history traits (pioneer vs late-successional species) in a biodiverse Eastern Himalayan secondary TMF, we investigated sap flow responses in co-occurring pioneer species, Symplocos racemosa (n=5) and Eurya acuminata (n=5), and late-successional species, Castanopsis hystrix (n=3), using modified Granier's Thermal Dissipation probes. The fast-growing pioneers S. racemosa and E. acuminata) had 2.1- and 1.6-times higher sap flux density than the late-successional C. hystrix, respectively, and exhibited characteristics of long-lived pioneer species. Significant radial and azimuthal variability in sap flow (V) between species was observed and attributed to life history traits and the canopy's access to sunlight. Nocturnal V (1800-0500 hr) was 13.8 % of daily V and is attributed to stem recharge for evening V (1800-2300 hr) and to endogenous stomatal controls for pre-dawn V (0000-0500 hr). Both the shallow-rooted pioneer species exhibited midday depression in V attributed to photosensitivity and diel moisture stress response. In contrast, deep-rooted C. hystrix transpired unaffected across the dry season likely accessing groundwater. Thus, the secondary broadleaved TMFs, with the dominance of shallow-rooted pioneers, are more prone to the negative impacts of drier and warmer winters than primary forests, which are dominated by deep-rooted species. The study provides an empirical understanding of life-history traits and microclimate modulating plant-water use in widely distributed secondary TMFs in Eastern Himalaya and highlights their vulnerability against warmer winters and reduced snowfall due to climate change.

opencc-zeroSep 2023View details →
dryad36/100

Data from: Community-level trait variation of epiphytic bryophytes supports trade-off aligned with leaf-economic spectrum in vertically stratified tropical montane cloud forest canopies

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publicJul 2025View details →
dryad36/100

Data from: Biotic pressures and environmental heterogeneity shape beta-diversity of seedling communities in tropical montane forests

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publicMar 2023View details →
dryad36/100

Data from: Contrasting sap flow characteristics between pioneer and late-successional tree species in secondary tropical montane forests of Eastern Himalaya, India

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publicSep 2023View details →
dryad36/100

Data from: Environmental conditions differently shape leaf, seed and seedling trait composition between and within elevations of tropical montane forests

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publicJun 2024View details →
dryad36/100

Climate and microhabitat shape the prevalence of endozoochory in the seed rain of tropical montane forests

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publicJan 2023View details →
dryad36/100

Data from: Influence of bracken fronds and leaf litter management on soil seed bank characteristics in a fire-disturbed tropical montane forest

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publicNov 2025View details →
dryad36/100

Data from: High specialization and limited structural change in plant‐herbivore networks along a successional chronosequence in tropical montane forest

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publicAug 2018View details →
dryad36/100

Global distribution and climate sensitivity of the tropical montane forest nitrogen cycle

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publicAug 2023View details →
dryad36/100

Data from: Thermal tolerance is linked to anatomical but not morphological leaf traits in woody species of Andean tropical montane forests

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publicApr 2025View details →
dryad36/100

Resilience of a tropical montane pine forest to fire and severe droughts

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publicOct 2022View details →
dryad36/100

Landslide age, elevation and residual vegetation determine tropical montane forest canopy recovery and biomass accumulation after landslide disturbances in the Peruvian Andes

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publicJun 2021View details →
dryad36/100

Litter decomposition rates across tropical montane and lowland forests are controlled foremost by climate

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publicJun 2022View details →
dryad32/100

Data from: Linking coordinated hydraulic traits to drought and recovery responses in a tropical montane cloud forest

Understanding plant hydraulic functioning and water balance during drought has become key in predicting species survival and recovery. However, the insightful studies that couple physiological and morphological attributes do not exist in many ecosystems, such as the vulnerable Tropical Montane Cloud Forests (TMCF). In this study, we evaluate drought resistance and recovery for saplings for five tree species spanning deciduous to evergreen habits from a Mexican TMCF. Methods Drought treatments withheld water until plants reached species-specific P50 or P88 values (pressures required to induce a 50 or 88 percent loss in hydraulic conductivity), at which point they were rewatered. Drought resistance were considered within the isohydric-anisohydric framework and compared to leaf gas exchange, water status, pressure-volume curves, specific leaf area, and stomatal density. Results TMCF species closed stomata well before significant losses in hydraulic conductivity (isohydric). Yet, despite the coordination of these traits, they did not predict how long it took species to reach critical hydraulic thresholds. Instead, maximum photosynthesis rates explained these times reinforcing the linkage between hydraulic and carbon dynamics. Despite varying hydraulic conductivities, stomatal responses, and times to hydraulic thresholds, all study plants except for two individuals (out of 60) recovered following rewatering. The recovery of photosynthesis and stomatal conductance was explained by the P50 values and isohydry. Conclusions This study raises new questions surrounding drought management strategies, recovery processes, and how lethal thresholds are defined. Further studies need to consider the role of water and carbon balance in allowing for both survival and recovery to drought.

opencc-zeroSep 2020View details →
zenodo32/100

Supplementary material 3 from: Duron Q, Cornulier T, Vidal E, Bourguet E, Ruffino L (2020) Combining live and lethal trapping to inform the management of alien invasive rodent populations in a tropical montane forest. NeoBiota 63: 101-125. https://doi.org/10.3897/neobiota.63.53811

Mean distances (± se) of trapped rats from the edge of the removal area during the four trapping sessions

opencc-zeroDec 2020View details →
zenodo32/100

Supplementary material 4 from: Duron Q, Cornulier T, Vidal E, Bourguet E, Ruffino L (2020) Combining live and lethal trapping to inform the management of alien invasive rodent populations in a tropical montane forest. NeoBiota 63: 101-125. https://doi.org/10.3897/neobiota.63.53811

Distances (in meters) travelled between rats' home range centers in the CMR area and their recapture in the removal area for 27 individuals

opencc-zeroDec 2020View details →
zenodo32/100

FIGURE 19 in Composition and organization of highly speciose Empidoidea (Diptera) communities in tropical montane forests of northern Thailand

FIGURE 19. Species abundance distributions of Empidoidea (Empididae, Hybotidae, Dolichopodidae & Brachystomatidae combined) in dry lowland forest (DL), mid elevation evergreen forest (EM) and moist hill evergreen (MHE) communities as delimited by cluster analysis in Figure 17. Main figure. Rank / abundance plots of log10 of abundance as a percentage of the most abundant species plotted against species rank (from highest to lowest). Inset. k-dominance plots of relative cumulative abundance plotted against log10 species rank (from highest to lowest).

opennotspecifiedApr 2019View details →
zenodo32/100

FIGURES 17–18 in Composition and organization of highly speciose Empidoidea (Diptera) communities in tropical montane forests of northern Thailand

FIGURES 17–18. Cluster analysis of Empidoidea (Empididae, Hybotidae, Dolichopodidae & Brachystomatidae combined) using unweighted pair-group average and Sorensen similarity. Bootstrapping was performed with 1000 resamples; the percentage of replicates where each of the major clusters is still supported is shown at nodes. 17, Clustering of data for a full year for each individual trap on Doi Inthanon during 2014. Individual traps are identified at termini and clusters designated as A, B, C and D are indicated. Communities defined by the major clusters A, C and D are assigned names broadly consistent with the forest biotopes and elevations they occupy; MHE, moist hill evergreen; EM, evergreen mid-elevation; DL, dry lowland; 18, Clustering of data for each trap during a four month period during the early-monsoon (April–July) and late-monsoon (September–December). Individual traps are identified at the termini with a suffix "early" of "late". E and F indicate major clusters.

opennotspecifiedApr 2019View details →
zenodo32/100

FIGURE 16 in Composition and organization of highly speciose Empidoidea (Diptera) communities in tropical montane forests of northern Thailand

FIGURE 16. Variation in taxonomic distinctness (J*) of Empidoidea (Empididae, Hybotidae, Dolichopodidae & Brachystomatidae combined) with elevation on Doi Inthanon (solid line). Values of J* were calculated for Empidoidea sampled throughout 12 months in all traps operated at each 500 m elevation zone (<500, 500–1000, 1000–1500, 1500–2000, 2000–2500, &>2500 m) and were plotted against the mean elevation of all traps in each zone. Data were fitted to a linear regression model in PAST (solid line; r2 = 0.8804, p = 0.0056) and 95% confidence intervals (dashed line) were computed from 1000 random replicates taken from the pooled data set.

opennotspecifiedApr 2019View details →
zenodo32/100

FIGURE 15 in Composition and organization of highly speciose Empidoidea (Diptera) communities in tropical montane forests of northern Thailand

FIGURE 15. Spatiotemporal variation in Mean Local Turnover (βwL) of species of Empidoidea through 12 months sampling over six 500m elevation zones at Doi Inthanon in 2014. Values of βwL are plotted on a grid of elevation zone (vertical axis) and months (horizontal axis) using the multiquadric gridding algorithm in PAST. Values of βwL (indicated by colour scale bar) vary between 0 (complete identity) and 1.0 (complete non-identity). Data are not available for January and February at <500 m and 500–1000 m.

opennotspecifiedApr 2019View details →

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International Brain Laboratory public data

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