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65 results for “flooded forest”
Indicative distribution map for Ecosystem Functional Group TF1.1 Tropical flooded forests and peat forests
<p>This archive contains indicative distribution maps and profiles for <strong>TF1.1 Tropical flooded forests and peat forests</strong>, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith <em>et al.</em> (2020) for details.</p> <p>The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).</p>
Flooded forest plot sampling in Ecuador
In order to better understand how flooding and gap formation affect Amazonian rainforests, I set up plots both in three major forest types that differed by flooding duration (referred to here as dry, wet, very wet) and in their respective gaps. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Raw D and 18O isotope data for a core from the center and moat of the BBC collapse scar: Bonanza Creek Experimental Forest Flood Plains
This data set contains D and 18O data for a core from the center and moat (0 and 6 m) of the BBC collapse scar. Two well-preserved cores from the center of the bog was collected in March 2003 with a gasoline-powered permafrost corer. Cores were stored frozen and sampled using a radial saw. The core was sampled every two cm for macrofossil, diatom analysis and chemistry. Oxygen isotope ratios in aquatic cellulose has been shown to be a reliable tracer of lakewater isotope ratios (Sauer et al., 2001). I predicted that ?D and ?18O signatures in Sphagnum leaves would respond to enrichment and depletion in the bog water over time, providing an independent line of evidence for diatom-inferred hydrologic change. All isotope samples were processed by the Alaska Stable Isotope Facility using a Thermo Finnigan TC EA and Deltaplus XL mass spectrometer (Thermo Electron Corporation, Bremen, Germany) in continuous flow mode. Data were reported relative to standard mean ocean water (SMOW). Instrument precision was 1.2 ? SE for ?D and 0.3 ? SE for ?18O. I separated Sphagnum leaves from the bog and moat cores, and ran whole organic matter samples for ?D and ?18O stable isotopes. To determine the correlation between ?D and ?18O stable isotopes in peat leaves and bog water, I analyzed samples of Sphagnum and adjacent surface water. I collected surface water samples without headspace and refrigerated at 4 ?C until sample analysis. Snow samples were kept frozen until analysis. I refrigerated surface sample Sphagnum leaves from branches directly below the capitulum after harvest until analysis for ?D and ?18O stable isotopes. I identified Sphagnum samples to species. This data set was collected to relate ?D and ?18O to fires, changes in succession, changes in hydrology, and diatom assemblages.
Growing Season D and 18O isotope data for a core from the center and moat of the BBC collapse scar: Bonanza Creek Experimental Forest Flood Plains
This data set contains D and 18O data for a core from the center and moat (0 and 6 m) of the BBC collapse scar. Two well-preserved cores from the center of the bog was collected in March 2003 with a gasoline-powered permafrost corer. Cores were stored frozen and sampled using a radial saw. The core was sampled every two cm for macrofossil, diatom analysis and chemistry. Oxygen isotope ratios in aquatic cellulose has been shown to be a reliable tracer of lakewater isotope ratios (Sauer et al., 2001). I predicted that ?D and ?18O signatures in Sphagnum leaves would respond to enrichment and depletion in the bog water over time, providing an independent line of evidence for diatom-inferred hydrologic change. All isotope samples were processed by the Alaska Stable Isotope Facility using a Thermo Finnigan TC EA and Deltaplus XL mass spectrometer (Thermo Electron Corporation, Bremen, Germany) in continuous flow mode. Data were reported relative to standard mean ocean water (SMOW). Instrument precision was 1.2 ? SE for ?D and 0.3 ? SE for ?18O. I separated Sphagnum leaves from the bog and moat cores, and ran whole organic matter samples for ?D and ?18O stable isotopes. To determine the correlation between ?D and ?18O stable isotopes in peat leaves and bog water, I analyzed samples of Sphagnum and adjacent surface water. I collected surface water samples without headspace and refrigerated at 4 ?C until sample analysis. Snow samples were kept frozen until analysis. I refrigerated surface sample Sphagnum leaves from branches directly below the capitulum after harvest until analysis for ?D and ?18O stable isotopes. I identified Sphagnum samples to species. This data set was collected to relate ?D and ?18O to fires, changes in succession, changes in hydrology, and diatom assemblages.
Average D and 18O isotope data for a core from the center and moat of the BBC collapse scar: Bonanza Creek Experimental Forest Flood Plains
This data set contains D and 18O data for a core from the center and moat (0 and 6 m) of the BBC collapse scar. Two well-preserved cores from the center of the bog was collected in March 2003 with a gasoline-powered permafrost corer. Cores were stored frozen and sampled using a radial saw. The core was sampled every two cm for macrofossil, diatom analysis and chemistry. Oxygen isotope ratios in aquatic cellulose has been shown to be a reliable tracer of lakewater isotope ratios (Sauer et al., 2001). I predicted that ?D and ?18O signatures in Sphagnum leaves would respond to enrichment and depletion in the bog water over time, providing an independent line of evidence for diatom-inferred hydrologic change. All isotope samples were processed by the Alaska Stable Isotope Facility using a Thermo Finnigan TC EA and Deltaplus XL mass spectrometer (Thermo Electron Corporation, Bremen, Germany) in continuous flow mode. Data were reported relative to standard mean ocean water (SMOW). Instrument precision was 1.2 ? SE for ?D and 0.3 ? SE for ?18O. I separated Sphagnum leaves from the bog and moat cores, and ran whole organic matter samples for ?D and ?18O stable isotopes. To determine the correlation between ?D and ?18O stable isotopes in peat leaves and bog water, I analyzed samples of Sphagnum and adjacent surface water. I collected surface water samples without headspace and refrigerated at 4 ?C until sample analysis. Snow samples were kept frozen until analysis. I refrigerated surface sample Sphagnum leaves from branches directly below the capitulum after harvest until analysis for ?D and ?18O stable isotopes. I identified Sphagnum samples to species. This data set was collected to relate ?D and ?18O to fires, changes in succession, changes in hydrology, and diatom assemblages.
Flooded forest plot sampling in Peru
In order to better understand how flooding and gap formation affect Amazonian rainforests, I set up plots both in three major forest types that differed by flooding duration (referred to here as dry, wet, very wet) and in their respective gaps. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
SBC LTER: Land: Hydrology: Santa Barbara County Flood Control District - Precipitation at Carpinteria US Forest Service Office (CarpinteriaUSFS383)
Precipitation was collected by the Santa Barbara County Flood Control District at Carpinteria US Forest Service Office (CarpinteriaUSFS383) in the Santa Barbara coastal area. Data are reported hourly, and times reflect the end of the each 1-hour interval. For more information, see https://www.countyofsb.org/pwd/hydrology.sbc
Рис. 2. НасеΛение меΛких мΛекопитающих Хингано-Архаринского заказника по Δанным учета Λовчими стаканами (описание местообитаний см. в тексте) Fig. 2. Small mammals abundance in flood medow (стХА1, see ХА1 description, fig. 1) and larch- birch forest (стХА2, see ХА2 description, fig. 1), counts with pitfalls (0,5 l glasses) in (Eulipotyphla) Of The Khingano-Arkharinskyi Zakaznik
Рис. 2. НасеΛение меΛких мΛекопитающих Хингано-Архаринского заказника по Δанным учета Λовчими стаканами (описание местообитаний см. в тексте) Fig. 2. Small mammals abundance in flood medow (стХА1, see ХА1 description, fig. 1) and larch- birch forest (стХА2, see ХА2 description, fig. 1), counts with pitfalls (0,5 l glasses)
Fig. 5 in Feeding ecology of Auchenipterichthys longimanus (Siluriformes: Auchenipteridae) in a riparian flooded forest of Eastern Amazonia, Brazil
Fig. 5. Repletion index (RI%) of Auchenipterichthys longimanus from rivers of National Forest of Caxiuanã (PA, Brazil) related to hydrological periods.
Fig. 2 in Feeding ecology of Auchenipterichthys longimanus (Siluriformes: Auchenipteridae) in a riparian flooded forest of Eastern Amazonia, Brazil
Fig. 2. Fluviometry from the rivers of the Caxiuanã National Forest in the period between July 2008 and July 2009. Data obtained from the fluviometric station of Caiçara of the National Water Agency (ANA).
Fig. 3 in Feeding ecology of Auchenipterichthys longimanus (Siluriformes: Auchenipteridae) in a riparian flooded forest of Eastern Amazonia, Brazil
Fig. 3. (a) Graphic representation of the non-metric multidimensional scaling analysis (NMDS) of the diet of Auchenipterichthys
Fig. 1 in Feeding ecology of Auchenipterichthys longimanus (Siluriformes: Auchenipteridae) in a riparian flooded forest of Eastern Amazonia, Brazil
Fig. 1. Location of the Caxiuanã National Forest, showing the rivers where the fish were collected. Curuá River - Ferreira Penna Research Station (ECFPn), Caxiuanã River, Puraquequara River and Caquajó River. Some black spots represent more than one collection site.
Fig. 4 in Feeding ecology of Auchenipterichthys longimanus (Siluriformes: Auchenipteridae) in a riparian flooded forest of Eastern Amazonia, Brazil
Fig. 4. Trophic niche breadth (Levins index; B) of the a midnight catfish Auchenipterichthys longimanus from rivers of the Caxiuanã National Forest of (PA, Brazil) related to hydrological periods.
Figs 1–2 in The population structure of Leptoiulus proximus (Nĕmec, 1896) (Diplopoda, Julidae) in floodplain forests after summer flooding
Figs 1–2. Changes in abundance of individual stadia in the population of L. proximus. 1. Changes in epigeic activity (numbers of individuals per 18 pitfall traps) at four-week intervals over the four years after flooding. 2. Changes in density (individuals/m2) at four-week intervals over the four years after flooding (animals extracted from soil samples by Tullgren funnels).
Plant size and leaf traits for epiphyte species found in flooded gallery forests and non-flooded gallery forests in Central Brazil
<p>Despite their unique adaptations to thrive in canopy environments without access to soil resources, epiphytes are underrepresented in studies of functional traits and of functional composition of tropical plant communities. We investigated functional traits of spermatophytic (seed-bearing) C<sub>3</sub> and CAM epihyte communities in flooded and non-flooded gallery forests in Central Brazil. The two forest types differ in floristic, structure, microclimate and edaphic conditions. We studied plant size, leaf thickness, leaf dry matter content, leaf area, specific leaf area, leaf C, N, P, K, Mg, Ca and C and N stable isotope ratios. Because photosynthetic pathway (C<sub>3</sub> or CAM) is an important aspect of ecologial differentiation of spermatophytic epiphytes, we expected that functional trait syndromes in a multivariate space would be more associated with photosynthetic pathway than forest type and changes in abundance of C<sub>3</sub> and CAM epiphytes would drive functional trait composition at the community level. C<sub>3</sub> and CAM epiphytes segregated in the multivariate trait space, however more complex functional typologies were also evident. Despite lower light levels, CAM epiphytes were more abundant in the flooded gallery forest. There, they accounted for 80% of all individuals, whereas C<sub>3</sub> epiphytes dominated in the non-flooded forest. These large differences in the proportion of C<sub>3</sub> and CAM epiphytes strongly affected functional trait values at the community level, despite very little intraspecfic variation in trait values between forest types for species that occurred in both forests. </p>
Data from: Flooding and soil composition determine beta-diversity of lowland forests in Northern South America
Beta diversity may be determined by dispersal limitation, environment and phylogeographic history. Our objective was to advance the understanding of plant species turnover in rainforests in Northern South America and determine which factors are affecting species beta-diversity. We evaluated the relative effect of environmental variables (i.e. soil, climate, fragmentation and flooding frequency) and dispersal limitation (i.e. geographical distance and resistance distance due mountain barriers) on tree beta diversity in 32 1-ha lowland forest plots. We found that tree species turnover was better explained by environmental distance than by geographic distance. Although, soil conditions and flooding regime were good predictors of tree species composition, almost half of the variance remained unexplained. In our study system, the Eastern Andean ridge had no significant effect on plant beta diversity, probably because of its young age in relation to the phylogeny. Our results provide support for the importance of environmental factors and suggests a more restricted role of dispersal limitation. Therefore, we advise that conservation strategies of lowland trees should consider specific forest types (e.g. seasonally flooded vs. terra firme, as well as piedmont vs. central Amazonian forests).
Final products from "3D MODELING AS A CONSERVATION TOOL TO CHARACTERIZE ENDANGERED SEASONALLY FLOODED ECOSYSTEMS IN THE VOLTA GRANDE DO XINGU, AMAZON FOREST, PARÁ, BRAZIL"
<p>In these .zip folders, you will find the products generated from flight missions carried out between November 7th to 14th, 2021, in the Volta Grande do Xingu, Pará, Brazil. <br>These results are presented as an integral part of the article titled '3D MODELING AS A CONSERVATION TOOL TO CHARACTERIZE ENDANGERED SEASONALLY FLOODED ECOSYSTEMS IN THE VOLTA GRANDE DO XINGU, AMAZON FOREST, PARÁ, BRAZIL' published on the doctoral thesis "Characterization and monitoring of the flooding dynamics and seasonally flooded environments of the Volta Grande do Xingu through remote sensing", available at <a href="https://doi.org/10.11606/T.106.2023.tde-02022024-211517">https://doi.org/10.11606/T.106.2023.tde-02022024-211517</a>. To understand the data processing methodology that led to these results, please refer to the thesis.<br>Each folder represents a flight mission. They are named by date and flight number (DD_MM_YYYY_FLIGHT#).<br>Within each folder, there are six files resulting from the processed flights: The georeferenced orthophoto and Digital Surface Model, which are raster files (.TIFs), the dense point cloud (.las), and the files composing the 3D Model generated by Agisoft Metashape (extensions .OBJ, .MTL, and .JPEG).<br>The .OBJ file is the primary file for visualizing the model, including the three-dimensional mesh formed by the points of the point cloud and containing geometry, texture, and color information. <br>The .MTL file contains the material description associated with the OBJ file and includes information about the visual properties of the model, such as texture, reflections, and materials. <br>The .JPEG files are the texture images used on the Digital Surface Model to generate the 3D model. This information provides the model with its realistic properties.<br>The .OBJ, .MTL and .JPEG files need to be together in the same folder for a complete 3D Model visualization (i.e., shape, color, and texture).<br>When using this data, please cite Affonso, A. A. (2023). <em>Caracterização e monitoramento da dinâmica de alagamento e dos ambientes sazonalmente alagáveis da Volta Grande do Xingu através de sensoriamento remoto</em>. Tese de Doutorado, Instituto de Energia e Ambiente, Universidade de São Paulo, São Paulo. doi:10.11606/T.106.2023.tde-02022024-211517. Recuperado em 2024-04-14, de www.teses.usp.br</p>
Comment on 'The central role of forests in the 2021 European floods'
<p>Data belonging to the article:</p> <p>Staal, A. & Koren, G. (2023). Comment on 'The central role of forests in the 2021 European floods'. Environmental Research Letters 18, 048002. DOI:10.1088/1748-9326/acc260</p> <p>The files contain:</p> <p>- The moisture sources in mm for the study area of Insua-Costa et al. (2022, ERL 17, 064053), 'box', for 1-15 July of each year during 2006-2021 and the 2021 event as described in Insua-Costa et al. (2022).</p> <p>- The moisture sources in mm for the Meuse basin for July of each year during 2006-2021.</p> <p>- The moisture sources in mm for the Rhine basin for July of each year during 2006-2021.</p> <p>- The masks used in Staal & Koren (2023).</p> <p>For further details, see Staal & Koren (2023) and the attributes of the netcdf files.</p>
Flooding drives tropical dry forest tree community assembly in southeast Brazil
<p><span>In this study, we characterized and compared vegetation types associated with geomorphological units susceptible to distinct flooding levels. Differences in vegetation are related to landform variations. We aimed to (i) characterize the vegetation structure and quantify community compositional differences among landforms and (ii) compare landforms soil characteristics and how these correlate with the tree vegetation. The study area is located in the Brazilian Caatinga Domain, near the Verde Grande River, a tributary of São Francisco River (coordinates 14º 54' 38'' S 43º 42' 53'' W). We allocated six plots in each landform sampled from wettest to driest sites: (i) Marginal Dike (RF – Riparian Forest), (ii) Upper terrace (RWF – Riparian Wetland Forest), (iii) Lower Terrace (WF – Wetland Forest), (iv) Lower Plain (OFF – Occasionally Flooded Forest), and (v) Upper Plain (UF - Unflooded Forest). </span>We conducted multivariate analyses (non-metric multidimensional scaling and Principal component analyses) to determine if the five sampled environments formed distinct floristic and environmental groups across the flooding gradient. We used ANOVA and Tukey post-hoc tests to assess soil variable differences among vegetation types (where relationships between edaphic variations and tree communities' floristic-structural patterns are the purpose of each analysis). <span>A total of 1422 individuals, 26 families, 70 genera, and 89 species were recorded. The NMDS revealed two distinct floristic groups: one group is associated with landforms with assumed higher flood frequency (RF, RWF, WF) and one with less frequently flooded landforms (OFF and UF). The RF, OFF, and UF landforms contained exclusive species (that only occurred in the plots of a particular landform). The species <em>Geofroea spinosa</em> (Fabaceae) was responsible for 70% of the total biomass recorded in the landforms RWF and WF. The soil analysis showed a gradient of soil acidity and fertility related to water saturation, whereby the most frequently flooded plots had the highest acidity values and highest fertility. We found that flood-related conditions significantly influence tree community structure and species distribution in this floodplain in the Brazilian Caatinga Domain.</span></p>
Data from: Flooding and soil composition determine beta-diversity of lowland forests in Northern South America
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