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86 results for “Araucaria Forests”

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zenodo40/100

Assessing land surface phenology in Araucaria-Nothofagus forests in Chile with Landsat 8/Sentinel-2 time series - Data and Material

<p>This dataset contains the Enhanced Vegetation Index (EVI) data used in our research work about land surface phenology of Andean Araucaria-Nothofagus forests as well as the phenology information derived from it.</p> <p>Study area: Conguill&iacute;o National Park, Chile<br> Study period: 2016-2020</p> <p>Description of datasets:</p> <p>conguillio.sen2.lnd8.evi.2016.2020.nc - A raster dataset (NetCDF) of EVI values (resolution 10m). EVI was calculated from Level-2 Sentinel-2 and Landsat 8 data. To ensure harmonization, the Landsat 8 data was resampled and reprojected to Sentinel-2 properties prior to the index calculation.</p> <p>evi_gb_beck_white.tif - A raster dataset (GeoTiff) of phenological metrics per year (resolution 10m). Metrics were derived by fitting a double logistic function (see Beck et al., 2006) to the smoothed and interpolated EVI pixel time series. Subsequently, the main phenological variables SOS (start of season) and EOS (end of season) were extracted using a 50% threshold value. The dataset itself is a result of the R package &quot;greenbrown&quot; and the layers are named accordingly (see https://greenbrown.r-forge.r-project.org/phenology.php). It is available as GeoTIFF and as R rasterfile.</p> <p>Details about the methodology and results describing this dataset can be found in the following publication:<br> Kosczor, E., Forkel, M., Hern&aacute;ndez, J., Kinalczyk, D., Pirotti, F. &amp; Kutchartt, E., 2022. Assessing land surface phenology in Araucaria-Nothofagus forests in Chile with Landsat 8/Sentinel-2 time series. Int. J. Appl. Earth Obs. Geoinf. 112, 102862. https://doi.org/10.1016/j.jag.2022.102862</p>

opencc-by-4.0Jun 2022View details →
zenodo40/100

Figs. 4 A, B in Methods for controlling natural regeneration of Japanese raisintree (Hovenia dulcis Thunb.) in Araucaria forest

Figs. 4 A, B. Effects of Japanese raisintree control method on stem number and survival regarding control, base cut and root removal treatments at different evaluation times (0, 60, 120, and 180 days). The study was conducted in an Araucaria Forest in São João do Triunfo, Paraná.

opencc-by-4.0Dec 2017View details →
zenodo40/100

Figs. 7 A, B in Methods for controlling natural regeneration of Japanese raisintree (Hovenia dulcis Thunb.) in Araucaria forest

Figs. 7 A, B. Effects of Japanese raisintree control method on sapling numbers regarding control, base cut and root removal treatments at different evaluation periods (0, 60, 120, and 180 days after the application of the control method) in an Araucaria Forest in São João do Triunfo, Paraná.

opencc-by-4.0Dec 2017View details →
zenodo40/100

Figs. 3 A, B in Methods for controlling natural regeneration of Japanese raisintree (Hovenia dulcis Thunb.) in Araucaria forest

Figs. 3 A, B. Effects of Japanese raisintree control method on seedling number and percent survival for control, base cut and root removal treatments at different evaluation periods (0, 60, 120, and 180 days). Experiment conducted in an Araucaria Forest in São João do Triunfo, Paraná.

opencc-by-4.0Dec 2017View details →
zenodo40/100

Fig. 2 in Methods for controlling natural regeneration of Japanese raisintree (Hovenia dulcis Thunb.) in Araucaria forest

Fig. 2. Spatial distribution of the three tested methods for controlling Japanese raisintree: control (z), root removal () and base cut („), in an Araucaria Forest in the São João do Triunfo municipality, Paraná.

opencc-by-4.0Dec 2017View details →
zenodo40/100

Figs. 5 A, B in Methods for controlling natural regeneration of Japanese raisintree (Hovenia dulcis Thunb.) in Araucaria forest

Figs. 5 A, B. Effects of Japanese raisintree control method on stem height regarding control, base cut and root removal in treatments at different evaluation times (0, 60, 120, and 180 days). The study was conducted in an Araucaria Forest in São João do Triunfo, Paraná.

opencc-by-4.0Dec 2017View details →
zenodo40/100

Figs. 1A-C in Methods for controlling natural regeneration of Japanese raisintree (Hovenia dulcis Thunb.) in Araucaria forest

Figs. 1A-C. Application of three methods to control the natural regeneration of Japanese raisintrees. A. control; B. root removal; C. base cut in an Araucaria Forest in São João do Triunfo, Paraná.

opencc-by-4.0Dec 2017View details →
zenodo40/100

Fig. 4 in Small mammals from the lasting fragments of Araucaria Forest in southern Brazil: a study about richness and diversity

Fig. 4. Dendrogram from the cluster analysis of the similarity of small mammals sampled at five vegetation types of Piraí do Sul National Forest, ParanÁ state, Brazil (PP, Pine Plantation; RF, Riparian Forest; AP, Araucaria Plantation; NR, Natural Regeneration forest; HA, High Altitude forest).

opencc-by-4.0Aug 2021View details →
zenodo40/100

Fig. 3 in Small mammals from the lasting fragments of Araucaria Forest in southern Brazil: a study about richness and diversity

Fig. 3. True diversity values (TD), order q = 1, of small mammals sampled at five vegetation types of Piraí do Sul National Forest, ParanÁ state, Brazil. Equal letters indicate overlap of the 95% confidence intervals (PP, Pine Plantation; RF, Riparian Forest; AP, Araucaria Plantation; NR, Natural Regeneration forest; HA, High Altitude forest).

opencc-by-4.0Aug 2021View details →
zenodo40/100

Fig. 2 in Small mammals from the lasting fragments of Araucaria Forest in southern Brazil: a study about richness and diversity

Fig. 2. Rarefaction curves of small mammals sampled at five vegetation types of Piraí do Sul National Forest, ParanÁ state, Brazil, with a 95% confidence interval (A, Pine Plantation; B, Riparian Forest; C, Araucaria Plantation; D, Natural Regeneration forest; E, High Altitude forest).

opencc-by-4.0Aug 2021View details →
zenodo40/100

Fig. 1. Location and vegetation types where small mammals were sampled between November 2012 and September 2013 in Small mammals from the lasting fragments of Araucaria Forest in southern Brazil: a study about richness and diversity

Fig. 1. Location and vegetation types where small mammals were sampled between November 2012 and September 2013, at Piraí do Sul National Forest, ParanÁ state, Brazil (A, Pine Plantation; B, Riparian Forest; C, Araucaria Plantation; D, Natural Regeneration forest; E, High Altitude forest). Original distribution of Atlantic Forest biome (light gray) and Araucaria forest (dark gray).

opencc-by-4.0Aug 2021View details →
zenodo40/100

Figure 4 in Ecologically-sustainable tree monocultures contribute to conservation of an Araucaria Forest endemic frog

Figure 4. Mean (¡SE) number of food items per stomach in each habitat. FO, Araucaria Forest; PA, Araucaria angustifolia plantation; PP, Pinus plantation; PE, Eucalyptus plantation.

opencc-by-4.0Dec 2010View details →
zenodo40/100

Figure 5 in Ecologically-sustainable tree monocultures contribute to conservation of an Araucaria Forest endemic frog

Figure 5. Rarefaction curves of Physalaemus lisei diet, relating taxonomic richness to the number of individuals in each habitat. FO, Araucaria Forest; PA, Araucaria angustifolia plantation; PP, Pinus plantation; PE, Eucalyptus plantation. The vertical lines comprise the 95% confidence intervals.

opencc-by-4.0Dec 2010View details →
zenodo40/100

Figure 3 in Ecologically-sustainable tree monocultures contribute to conservation of an Araucaria Forest endemic frog

Figure 3. Diet composition of Physalaemus lisei (black bars) in relation to the taxonomic composition of pitfall traps (white bars). Dotted line delimits the feeding niche of P. lisei.

opencc-by-4.0Dec 2010View details →
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Figure 2 in Ecologically-sustainable tree monocultures contribute to conservation of an Araucaria Forest endemic frog

Figure 2. Body mass (g) distribution of Physalaemus lisei captured in the São Francisco de Paula National Forest, southern Brazil. (A) Temporal variation in body mass (g) distribution between October 2003 and April 2005; (B) among-habitat variation in body mass distribution. Horizontal line represents the median; the box delimits the first and third quartile; the vertical lines delimit the maximum and minimum values, except for the outliers that are represented by asterisks. FO, Araucaria Forest; PA, Araucaria angustifolia plantation; PP, Pinus plantation; PE, Eucalyptus plantation.

opencc-by-4.0Dec 2010View details →
zenodo40/100

Figure 1 in Ecologically-sustainable tree monocultures contribute to conservation of an Araucaria Forest endemic frog

Figure 1. Number of individuals of Physalaemus lisei captured in the São Francisco de Paula National Forest, southern Brazil. (A) Temporal dynamic between October 2003 and April 2005; (B) among-habitat variation in the mean (¡SE) number of captures. FO, Araucaria Forest; PA, Araucaria angustifolia plantation; PP, Pinus plantation; PE, Eucalyptus plantation.

opencc-by-4.0Dec 2010View details →
dryad36/100

Data from: Evaluating the impact of historical climate and early human groups in the Araucaria Forest of Eastern South America

<p>It has been hypothesized that the Araucaria Forest in Southern Brazil underwent expansions in the past, driven either by human groups or by climate fluctuations of the Holocene and Pleistocene. Fossil pollen records of the Paraná Pine (<em>Araucaria angustifolia</em>), a dominant tree in that forest, provide some insights into when those may have occurred. Still, the timing of those expansions has never been estimated. To infer past range shifts and shed light on their main drivers, we employed next-generation DNA sequencing (ddRADseq), machine learning, and a comprehensive database of fossil pollen records in a study of historical demographic inference and paleo-distribution modeling of the Paraná Pine. We found that <em>A. angustifolia</em> comprises two populations expanding at different times: one in the Mantiqueira mountain chain, and the other in the southern Brazilian plateau. The Southern population began to expand during the Last Glacial Period ~70kya, long before human arrival in South America. Still, genetic analyses support that humans later impacted this population, resulting in lower genetic diversity, higher inbreeding, and high levels of gene flow over large distances with a weak pattern of isolation by distance. It is possible this resulted from human influence on seed dispersal and germination on the Southern Brazilian plateau. The Mantiqueira population, in contrast, expanded only recently (~3kya). This timing coincides with Holocene climatic changes and human settlements established further south, although, to date, there is little archeological evidence of human impact in the Mantiqueira. In addition, multitemporal species distribution models built from a combination of present-day and pollen records infer range expansion of the Araucaria Forest during glacial times until the cold humid HS1 event (~16kya), when the forest was most widespread, with no evidence of glacial refugia. The combination of genomic and spatial analyses suggests that both human and climatic controls played a role in the dynamics of the Araucaria Forest.</p>

opencc-zeroMar 2024View details →
dryad36/100

Data from: Evaluating the impact of historical climate and early human groups in the Araucaria Forest of Eastern South America

Open the record for dataset details and reuse information.

publicMar 2024View details →
zenodo32/100

FIGURE 9 in Arauchemus, a new spider genus of the Echemus group (Araneae: Gnaphosidae: Echeminae) from Araucaria Forest areas in southern Brazil, with notes on habitat preferences and phenology

FIGURE 9. Graphic representation of the males cephalotorax length and width variations in Arauchemus gen. nov. species.

opennotspecifiedDec 2012View details →
zenodo32/100

FIGURES 8A–B in Arauchemus, a new spider genus of the Echemus group (Araneae: Gnaphosidae: Echeminae) from Araucaria Forest areas in southern Brazil, with notes on habitat preferences and phenology

FIGURES 8A–B. Seasonality based on activity abundance of Arauchemus gen. nov. species at Pró-Mata, São Francisco de Paula, RS, Brazil from October 2000 to May 2002. Data indicated by mean values of spider catches in each day in the sample period. A,

opennotspecifiedDec 2012View details →

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