scholarly journals Functional traits of the understory plant community of a pyrogenic longleaf pine forest across environmental gradients

Ecology ◽  
2017 ◽  
Vol 98 (8) ◽  
pp. 2225-2225 ◽  
Author(s):  
Gregory M. Ames ◽  
Steven M. Anderson ◽  
Eric A. Ungberg ◽  
Justin P. Wright
Keyword(s):  
Plant Community ◽  
Functional Traits ◽  
Environmental Gradients ◽  
Longleaf Pine ◽  
Pine Forest ◽  
Understory Plant

scholarly journals INSECT POLLINATORS OF THREE RARE PLANTS IN A FLORIDA LONGLEAF PINE FOREST

2002 ◽  
Vol 85 (2) ◽  
pp. 308-316 ◽  
Author(s):  
Theresa L. Pitts-Singer ◽  
James L. Hanula ◽  
Joan L. Walker
Keyword(s):  
Longleaf Pine ◽  
Rare Plants ◽  
Pine Forest ◽  
Insect Pollinators

Amazonian Dark Earth Shapes the Understory Plant Community in a Bolivian Forest

Biotropica ◽  
2015 ◽  
Vol 47 (2) ◽  
pp. 152-161 ◽  
Author(s):  
Estela Quintero-Vallejo ◽  
Yannick Klomberg ◽  
Frans Bongers ◽  
Lourens Poorter ◽  
Marisol Toledo ◽  
...  
Keyword(s):  
Plant Community ◽  
Understory Plant ◽  
Amazonian Dark Earth

scholarly journals More for less: sampling strategies of plant functional traits across local environmental gradients

2014 ◽  
Vol 29 (4) ◽  
pp. 579-588 ◽  
Author(s):  
Carlos P. Carmona ◽  
Cristina Rota ◽  
Francisco M. Azcárate ◽  
Begoña Peco
Keyword(s):  
Functional Traits ◽  
Environmental Gradients ◽  
Plant Functional Traits ◽  
Sampling Strategies

The effect of spatially variable overstory on the understory light environment of an open-canopied longleaf pine forest

2002 ◽  
Vol 32 (11) ◽  
pp. 1984-1991 ◽  
Author(s):  
Michael A Battaglia ◽  
Pu Mou ◽  
Brian Palik ◽  
Robert J Mitchell
Keyword(s):  
Spatial Variation ◽  
Spatial Patterns ◽  
Longleaf Pine ◽  
Light Availability ◽  
Canopy Structure ◽  
Basal Area ◽  
Pinus Palustris ◽  
Pine Forest ◽  
Large Group ◽  
The Relationship

Spatial aggregation of forest structure strongly regulates understory light and its spatial variation in longleaf pine (Pinus palustris Mill.) forest ecosystems. Previous studies have demonstrated that light availability strongly influences longleaf pine seedling growth. In this study, the relationship between spatial structure of a longleaf pine forest and spatial pattern of understory light availability were investigated by comparing three retention harvest treatments: single-tree, small-group, large-group, and an uncut control. The harvests retained similar residual basal area but the spatial patterns of the residual trees differed. Hemispherical photographs were taken at 300 stations to calculate gap light index (GLI), an estimate of understory light availability. Stand-level mean, variation, and spatial distribution of GLI were determined for each treatment. By aggregating residual trees, stand mean GLI increased by 20%, as well as its spatial variation. Spatial autocorrelation of GLI increased as the size of the canopy gaps increased and the gaps were better defined; thus, the predictability of GLI was enhanced. The ranges of detrended semivariograms were increased from the control to the large-group harvest indicating the spatial patterns of understory GLI became coarser textured. Our results demonstrated that aggregated canopy structure of longleaf pine forest will facilitate longleaf pine seedling regeneration.

scholarly journals Linkages between Macrophyte Functional Traits and Water Quality: Insights from a Study in Freshwater Lakes of Greece

Water ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 1047 ◽  
Author(s):  
Konstantinos Stefanidis ◽  
Eva Papastergiadou
Keyword(s):  
Water Quality ◽  
Cluster Analysis ◽  
Functional Traits ◽  
Environmental Gradients ◽  
Hierarchical Cluster ◽  
Environmental Drivers ◽  
Secchi Disk ◽  
Secchi Disk Depth ◽  
Freshwater Lakes ◽  
Functional Characteristics

Freshwater ecologists have shown increased interest in assessing biotic responses to environmental change using functional community characteristics. With this article, we investigate the potential of using functional traits of the aquatic plants to assess eutrophication in freshwater lakes. To this end we collected macrophyte and physicochemical data from thirteen lakes in Greece and we applied a trait-based analysis to first identify discrete groups of macrophytes that share common functional traits and then to assess preliminary responses of these groups to water quality gradients. We allocated 11 traits that cover mostly growth form and morphological characteristics to a total of 33 macrophyte species. RLQ and fourth corner analysis were employed to explore potential relationships between species, trait composition and environmental gradients. In addition, a hierarchical cluster analysis was conducted to discriminate groups of plants that share common trait characteristics and then the position of the groups along the environmental gradients was assessed. The results showed total phosphorus, chlorophyll-a, conductivity, pH and Secchi disk depth as main drivers of the environmental gradients. Hierarchical cluster analysis showed a clear separation of macrophyte assemblages with discrete functional characteristics that appeared to associate with different environmental drivers. Thus, rooted submerged plants were related with higher Secchi disk depth, conductivity and alkalinity whereas rooted floating-leaved plants showed a preference for enriched waters with phosphorus and nitrogen. In addition, free-floating plants were related positively with nitrogen and increased pH. Although we did not identify specific trait patterns with environmental drivers, our findings indicate a differentiation of macrophytes based on their functional characteristics along water quality gradients. Overall, the presented results are encouraging for conducting future monitoring studies in lakes focused on the functional plant trait composition, as expanding the current approach to additional lakes and using quantifiable functional characteristics will provide more insight about the potential of trait-based approaches as ecological assessment systems.

scholarly journals Treeline ecotones shape the distribution of avian species richness and functional diversity in south temperate mountains

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Tomás A. Altamirano ◽  
Devin R. de Zwaan ◽  
José Tomás Ibarra ◽  
Scott Wilson ◽  
Kathy Martin
Keyword(s):  
Species Richness ◽  
Functional Diversity ◽  
Functional Traits ◽  
Habitat Structure ◽  
Environmental Gradients ◽  
Montane Forest ◽  
Avian Species ◽  
Point Counts ◽  
Mountain Habitats ◽  
Elevational Range

Abstract Mountains produce distinct environmental gradients that may constrain or facilitate both the presence of avian species and/or specific combinations of functional traits. We addressed species richness and functional diversity to understand the relative importance of habitat structure and elevation in shaping avian diversity patterns in the south temperate Andes, Chile. During 2010–2018, we conducted 2202 point-counts in four mountain habitats (successional montane forest, old-growth montane forest, subalpine, and alpine) from 211 to 1,768 m in elevation and assembled trait data associated with resource use for each species to estimate species richness and functional diversity and turnover. We detected 74 species. Alpine specialists included 16 species (22%) occurring only above treeline with a mean elevational range of 298 m, while bird communities below treeline (78%) occupied a mean elevational range of 1,081 m. Treeline was an inflection line, above which species composition changed by 91% and there was a greater turnover in functional traits (2–3 times greater than communities below treeline). Alpine birds were almost exclusively migratory, inhabiting a restricted elevational range, and breeding in rock cavities. We conclude that elevation and habitat heterogeneity structure avian trait distributions and community composition, with a diverse ecotonal sub-alpine and a distinct alpine community.

Soil Chemistry in a Loblolly/Longleaf Pine Forest with Interval Burning

1992 ◽  
Vol 2 (2) ◽  
pp. 157-164 ◽  
Author(s):  
Dan Binkley ◽  
Dan Richter ◽  
Mark B. David ◽  
Bruce Caldwell
Keyword(s):  
Soil Chemistry ◽  
Longleaf Pine ◽  
Pine Forest
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