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145 results for “Peruvian Andes”

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zenodo40/100

Fig. 3 in Two new species of Exetastes (Hymenoptera: Ichneumonidae: Banchinae) from the Peruvian Andes

Fig. 3. Exetastes tullu sp. nov. holotype, ♀ (MUSM). A. Habitus, in lateral view. B. Head, mesosoma and T1 in dorsal view. C. Face. D. Propodeum. E. Ovipositor. B–F not to scale.

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

Fig. 2 in Two new species of Exetastes (Hymenoptera: Ichneumonidae: Banchinae) from the Peruvian Andes

Fig. 2. Exetastes andensis sp. nov., holotype, ♀ (MUSM). A. Habitus, in lateral view. B. Head, in dorsal view and mesoscutum. C. T1–2. D. Face. E. Propodeum. F. Ovipositor. B–F not to scale.

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

Fig. 4 in Two new species of Exetastes (Hymenoptera: Ichneumonidae: Banchinae) from the Peruvian Andes

Fig. 4. Lateral view of scutellum. A. Exetastes tullu sp. nov. holotype, ♀ (MUSM). B. Exetastes andensis sp. nov. paratype, ♀ (MUSM).

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

Rain gauge data used in the study "Characteristics of Precipitation and Mesoscale Convective Systems over the Peruvian Central Andes in Multi 5-Year Convection-Permitting Simulations"

<p>The rain gauge data in Peru and Brazil used in the study,</p> <p>Yongjie Huang, Ming Xue, Xiao-Ming Hu, et al. Characteristics of Precipitation and Mesoscale Convective Systems over the Peruvian Central Andes in Multi 5-Year Convection-Permitting Simulations. <em>ESS Open Archive .</em> November 14, 2023.<br><span>DOI: <a href="https://doi.org/10.22541/essoar.170000370.07634797/v1" target="_blank" rel="noopener noreferrer">10.22541/essoar.170000370.07634797/v1</a></span></p> <p><span>The original data source:</span></p> <ul> <li>The rain gauge data in Peru are available at <a href="https://piscoprec.github.io/webPISCO/en/raingauges">https://piscoprec.github.io/webPISCO/en/raingauges</a> &nbsp;(last access: 18 July 2021).</li> <li>The rain gauge data in Brazil are available at <a href="https://bdmep.inmet.gov.br">https://bdmep.inmet.gov.br</a> (last access: 19 January 2023).</li> </ul>

opencc-by-4.0Jul 2024View details →
zenodo40/100

Fig. 5. A in Two new species of frogs of the genus Phrynopus (Anura: Terrarana: Craugastoridae) from the Peruvian Andes

Fig. 5. A) Habitat of the type locality of Phrynopus valquii sp. nov.; B) Microhabitat of Phrynopus valquii sp. nov.; C) Habitat of the type locality of Phrynopus daemon sp. nov.; D) Microhabitat of Phrynopus daemon sp. nov. Photographs: A–B by Germán Chávez and C–D by Roy Santa-Cruz.

opencc-by-4.0Oct 2015View details →
zenodo40/100

Fig. 3 in Two new species of frogs of the genus Phrynopus (Anura: Terrarana: Craugastoridae) from the Peruvian Andes

Fig. 3. Distribution of Phrynopus valquii sp. nov. (green circles) and Phrynopus daemon sp. nov. (red circles). Map by Ca- terina H. Cosmopolis.

opencc-by-4.0Oct 2015View details →
zenodo40/100

Fig. 4 in Two new species of frogs of the genus Phrynopus (Anura: Terrarana: Craugastoridae) from the Peruvian Andes

Fig. 4. Dorsal (left) and ventral (right) views of the type series of Phrynopus daemon sp. nov.: A–B) Holotype (CORBIDI 15364, adult female, SVL = 24.3 mm); C–D) Female paratype (MUSA 4916, adult female, SVL = 21.4 mm); E–F) Male paratype (MUSM 32747, SVL = 21.7). Photographs: A–D by Roy Santa-Cruz and E–F by Daniel Rodriguez.

opencc-by-4.0Oct 2015View details →
zenodo40/100

Fig. 2 in Two new species of frogs of the genus Phrynopus (Anura: Terrarana: Craugastoridae) from the Peruvian Andes

Fig. 2. Ventral view of: A) right hand of the holotype of Phrynopus valquii; B) right foot of the holotype of Phrynopus valquii; C) right hand of the holotype of Phrynopus daemon; D) right foot of the holotype of Phrynopus daemon. Photographs by Germán Chávez.

opencc-by-4.0Oct 2015View details →
zenodo40/100

Fig. 1 in Two new species of frogs of the genus Phrynopus (Anura: Terrarana: Craugastoridae) from the Peruvian Andes

Fig. 1. Dorsal (left) and ventral (right) views of specimens of the type series of Phrynopus valquii sp. nov.: A–B) Holotype (COR- BIDI 14005, adult female, SVL = 31.2 mm); C–D) Paratype (CORBIDI 14007, adult female, SVL = 28.07 mm); E–F (CORBIDI 13993, adult male, SVL = 25.2 mm). Photographs by Germán Chávez.

opencc-by-4.0Oct 2015View details →
zenodo40/100

Figures 1–3 in Incasarus garciai, a new genus and species of panurgine bees from the Peruvian Andes (Hymenoptera: Andrenidae)

Figures 1–3. Male of Liphanthus (Neoliphanthus) bicellularis Ruz &amp; Toro. 1. Dorsal habitus. 2. Lateral habitus. 3. Facial view.

opencc-by-4.0May 2013View details →
zenodo40/100

Figures 4–10 in Incasarus garciai, a new genus and species of panurgine bees from the Peruvian Andes (Hymenoptera: Andrenidae)

Figures 4–10. Male holotype of Incasarus garciai, new species. 4. Dorsal habitus. 5. Lateral habitus. 6. Facial view. 7. Detail of mandible in profile. 8. Detail of vertex and mesosoma in dorsal view. 9. Detail of metasoma. 10. Metabasitibial plate.

opencc-by-4.0May 2013View details →
zenodo40/100

Figures 11–20 in Incasarus garciai, a new genus and species of panurgine bees from the Peruvian Andes (Hymenoptera: Andrenidae)

Figures 11–20. Male holotype of Incasarus garciai, new species. 11. Detail of seventh metasomal tergum. 12. Fourth sternum. 13. Fifth sternum. 14. Sixth sternum. 15. Seventh sternum. 16, 17. Eighth sternum in ventral view and profile. 18‒20. Genital capsule in dorsal, ventral view, and profile.

opencc-by-4.0May 2013View details →
dryad36/100

Data from: Microbial carbon use efficiency and soil organic carbon stocks across an elevational gradient in the Peruvian Andes

<p>Soils of mountain ecosystems are one of the most vulnerable ecosystems to climate change, while the ecosystem services they produce are significant and currently at risk. High altitude soils contain high C stocks, but due to difficult access to sites these areas are understudied. Moreover, how the C and N cycling is changing in response to climate change in these ecosystems, is still unclear. Microbial carbon use efficiency (CUE) and its dependency on the environmental constraints along the altitudinal gradients is one important unknown factor. Here we present results from an altitudinal gradient study (3500 to 4500 m a.s.l.) from a Polylepis forest in the Peruvian Andes. We measured the soil organic carbon (SOC) stocks and microbial metabolic CUE by <sup>13</sup>C glucose tracing and microbial resource use efficiency (CUE<sub>C</sub><sub>:</sub><sub>N</sub>) based on enzyme activity measurements. We expected to find an increase in SOC stock, microbial nutrient limitations, and lower CUE with elevation. SOC stocks depended on soil development and followed a unimodal curve that peaks at 4000 m in two of the three studied valleys. Neither <sup>13</sup>CUE nor CUE<sub>C:N</sub> changed significantly with altitude. Soil C:N ratio, β-glucosidase, chitinase, and phosphatase enzyme activities increased with elevation, but peroxidase activity decreased with elevation. We suggest that more labile organic matter left at high elevation could compensate for the increasing nutrient limitation at high elevation, resulting in no noticeable change in CUE with elevation.</p>

opencc-zeroDec 2023View details →
zenodo36/100

Fig. 1 in Two new species of Exetastes (Hymenoptera: Ichneumonidae: Banchinae) from the Peruvian Andes

Fig. 1. Image of the pre-montane forest habitat in which Exetastes andensis sp. nov. was collected.

opencc-by-4.0Mar 2022View details →
zenodo36/100

Raindrop size distribution and precipitation over Peruvian central Andes (12.0°S)

<p>The raindrop size distribution and precipitation over Peruvian central Andes (12.0&deg;S) database&nbsp;consist of raindrop size distribution, raindrop fall velocity and precipitation data measured in the Huancayo Observatory of Peru.<br> Two Parsivel 2 and two tipping bucket rain gauge are used in this database which are operating together since 2018.</p> <p>The repository ULR:<br> https://scah.igp.gob.pe/sites/datos/PP_prods/</p> <p>There are two types of files, one NetCDF for the precipitation totals and<br> another NetCDF which contains each Parsivel2 raw data.</p> <p>The precipitation totals files are located in the subfolder:<br> https://scah.igp.gob.pe/sites/datos/PP_prods/PP_dia/</p> <p>And the Parsivel2 raw data are located in the sub folder:<br> https://scah.igp.gob.pe/sites/datos/PP_prods/PSV_nc/</p> <p>This repository is part of the Atmospheric Microphysics And Radiation Laboratory (LAMAR),<br> Huancayo Observatory (12.0S, 75.3W, 3113 m ASL) (https://scah.igp.gob.pe/laboratorios/lamar)</p>

opencc-by-4.0Oct 2019View 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

<p>Landslides are common natural disturbances in tropical montane forests. While the geomorphic drivers of landslides in the Andes have been studied, factors controlling post-landslide forest recovery across the steep climatic and topographic gradients characteristic of tropical mountains are poorly understood.</p> <p>Here we use a LiDAR-derived canopy height map coupled with a 25-year landslide time series map to examine how landslide, topographic, and biophysical factors, along with residual vegetation, affect canopy height and heterogeneity in regenerating landslides. We also calculate aboveground biomass accumulation rates and estimate the time for landslides to recover to mature forest biomass levels.</p> <p>We find that age and elevation are the biggest determinants of forest recovery, and that the jump-start in regeneration that residual vegetation provides lasts for at least 18 years. Our estimates of time to biomass recovery (31.6-37.1 years) are surprisingly rapid, and as a result we recommend that future research pair LiDAR with hyperspectral imagery to estimate forest aboveground biomass in frequently disturbed landscapes.</p> <p>Synthesis: Using a high-resolution LiDAR dataset and a time-series inventory of 608 landslides distributed across a wide elevational gradient in Andean montane forest, we show that age and elevation are the most influential predictors of forest canopy height and canopy variability. Other features of landslides, in particular the presence of residual vegetation, shape post-landslide regeneration trajectories. LiDAR allows for a detailed analysis of forest structural recovery across large landscapes and numbers of disturbances, and provides a reasonable upper bound on aboveground biomass accumulation rates. However, because this method does not capture the effect of compositional change through succession on aboveground biomass, wherein high-wood density species gradually replace light-wooded pioneer species, it overestimates aboveground biomass. Given previously estimated stem turnover rates along this elevational gradient, we posit that aboveground biomass recovery takes at least three times as long as our recovery time estimates based on LiDAR-derived structure alone.</p>

opencc-zeroJun 2021View details →
dryad36/100

Unmasking hidden genetic, vocal, and size variation in the Masked Flowerpiercer along the Andes supports two species separated by Northern Peruvian Low

<p>Genetic divergence among isolated populations is not always reflected in phenotypic differentiation. We investigated the genetic and phenotypic differentiation in <em>Diglossa cyanea</em> (Thraupidae; Masked Flowerpiercer), a widely distributed species in the tropical Andes. We found strong evidence for two main lineages separated by the Marañón River valley in the Northern Peruvian Low (NPL). These two lineages show a deep sequence divergence in mitochondrial DNA (mtDNA; ~6.7% uncorrected <em>p</em>-distance, n = 122), spectral frequency and song structure (with exclusive final whistles in southern populations, n = 88), and wing length (the northern populations are smaller, n = 364). The two divergent <em>D. cyanea</em> mitochondrial lineages were not sister to each other, suggesting a possible paraphyly with respect to <em>D. caerulescens</em> (Bluish Flowerpiercer) that remains to be tested with nuclear genomic data. No genetic variation, size difference or song structure was observed within the extensive range of the southern group (from the NPL to central Bolivia) or within all sampled northern populations (from the NPL to Venezuela). These vocal differences appear to have consequences for song discrimination, and species recognition, according to a previously published playback experiment study. We propose that the southern taxon be elevated to species rank as <em>D. melanopis</em>, a monotypic species (with the proposed name Whistling Masked-Flowerpiercer). In turn, we provide a redefinition of <em>D. cyanea</em> (Warbling Masked-Flowerpiercer), which is now restricted to the northern half of the tropical Andes as a polytypic species with three subspecies (<em>tovarensis</em>, <em>obscura</em>, and <em>cyanea</em>). Based on our results, the subspecies <em>dispar </em>should be treated as a junior synonym of <em>cyanea</em>. Our study highlights the need to continue amassing complementary datasets from field observations, experiments, and collection-based assessments to better characterize the evolutionary history, biogeography, bioacoustics, and taxonomy of Neotropical montane birds.</p>

opencc-zeroMay 2023View details →
zenodo36/100

First rock glacier inventory of the Peruvian Andes: distribution, classification and climatic characterization

<p>The contours of the Rock glaciers&nbsp;(RGs) were manually digitized, identifying a total of 2271 (967 active, 507 inactive, 311 intact and 486 relict) covering 109.1&plusmn;1.5 km2 and distributed in 15 of the 20 cordilleras of Peru. The Minimum Altitude Front (MAF) of RGs is 4339 m a.s.l., while most of them are between 4800 to 5000 m a.s.l. For the Southwest zone (Z-IV) where 94% of the RGs are located, the Binary Logistic Regression Model (BLRM) shows that MAAT and slope are the variables that have the greatest influence on the presence of 76.5% RGs evaluated. &nbsp;While in the North (Z-I), Central (Z-II) and Southeastern (Z-III) zones, the topoclimatic variables analyzed did not show statistical significance. &nbsp;This first inventory represents an important input for modeling the spatial distribution of permafrost in the Peruvian Tropical Andes.</p>

opencc-by-4.0Dec 2022View details →
dryad36/100

Unmasking hidden genetic, vocal, and size variation in the Masked Flowerpiercer along the Andes supports two species separated by Northern Peruvian Low

Open the record for dataset details and reuse information.

publicDec 2023View details →
dryad36/100

Data from: Microbial carbon use efficiency and soil organic carbon stocks across an elevational gradient in the Peruvian Andes

Open the record for dataset details and reuse information.

publicDec 2023View details →

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