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15 results for “Pine-oak”

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dryad36/100

Data from: Contrasting species decline but high sensitivity to increasing water stress on a mixed pine-oak ecotone

<p>1. Forest decline under environmental stress is expressed by regeneration failure and accelerated mortality in all ontogenic stages at the population level. Characterizing functional traits and mechanisms that best capture species decline and mortality is essential to assess forest dynamics. 2. We analyzed sensitivity to increasing water stress in two species with different water-use strategies on a mixed Quercus pyrenaica - Pinus sylvestris forest where adult pines express vulnerability to climate change but oaks do not. We compared dynamics of radial growth, wood δ13C and sapwood nonstructural carbohydrates (NSC) in response to drought at different time scales in both species and two age-cohorts in pine. 3. Both species were very sensitive to water stress, which influenced trait phenotypic plasticity at short- and long-time scales. Water-use strategy in pines of both ages was more conservative than in the more drought-tolerant oak. Both species showed negative growth trends despite increasing iWUE. Recent growth of pines is slower than it was in the past. Carbon isotope discrimination trends in young pines suggested increasing leaf gas exchange constraints. NSC were far from depletion in both species and all pine ages. Intra- and inter-annual NSC variability was higher in oaks than in pines and in soluble sugars (SS) than in starch. SS were lowest in young pines. Sensitivity of NSC to contrasting climatic years was low in pines, which NSC mostly remained homeostatic. The sensitivity to climate expressed suggests different C-allocation strategies, with less coupling between radial growth and current year photosynthesis in young pines. 4. Synthesis. Pines expressed negative responses to increased water stress regardless of age, showing rising gas-exchange constraints through tighter stomatal control of water losses than oaks. Young pines showed similar functional responses to water stress than old pines in decline, which suggests species-level vulnerability and could be regarded as early-warning signals anticipating mortality in pines. Yet, given the high sensitivity to drought also expressed by the non-declining oak, it would have been difficult to unequivocally disentangle species decline based only on the traits analysed.</p>

opencc-zeroJul 2020View details →
zenodo36/100

Quantifying pine processionary moth defoliation in a pine-oak mixed forest using unmanned aerial systems and multispectral imagery (dataset, paper published in PLOS ONE)

<p>Data processed to analyze pine processionary moth defoliation.</p> <p>Digital surface model and orthomosaics derived from UAS</p>

opencc-by-4.0Jan 2019View details →
dryad36/100

Data from: Contrasting species decline but high sensitivity to increasing water stress on a mixed pine-oak ecotone

Open the record for dataset details and reuse information.

publicJul 2020View details →
edi36/100

Coweeta site, station Site 118, low elevation pine-oak, study of soil temperature at 20 cm depth (mean) in units of celsius on a monthly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Coweeta (CWT) contains soil temperature at 20 cm depth (mean) measurements in celsius units and were aggregated to a monthly timescale.

openOpenJan 2020View details →
edi36/100

Coweeta site, station Site 118, low elevation pine-oak, study of soil temperature at 20 cm depth (mean) in units of celsius on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Coweeta (CWT) contains soil temperature at 20 cm depth (mean) measurements in celsius units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

Coweeta site, station Site 118, low elevation pine-oak, study of soil temperature at 50 cm depth (mean) in units of celsius on a monthly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Coweeta (CWT) contains soil temperature at 50 cm depth (mean) measurements in celsius units and were aggregated to a monthly timescale.

openOpenJan 2020View details →
edi36/100

Coweeta site, station Site 118, low elevation pine-oak, study of soil temperature at 50 cm depth (mean) in units of celsius on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Coweeta (CWT) contains soil temperature at 50 cm depth (mean) measurements in celsius units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

Coweeta site, station Site 118, low elevation pine-oak, study of soil temperature at 5 cm depth (mean) in units of celsius on a monthly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Coweeta (CWT) contains soil temperature at 5 cm depth (mean) measurements in celsius units and were aggregated to a monthly timescale.

openOpenJan 2020View details →
edi36/100

Coweeta site, station Site 118, low elevation pine-oak, study of soil temperature at 5 cm depth (mean) in units of celsius on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Coweeta (CWT) contains soil temperature at 5 cm depth (mean) measurements in celsius units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
zenodo32/100

FIGURES 16–21 in A new species of Aphonopelma (Araneae: Mygalomorphae: Theraphosidae) from the Madrean pine-oak woodlands of northeastern Sonora, Mexico

FIGURES 16–21. Morphology of Aphonopelma bacadehuachi, sp. nov. from Sonora, Mexico (female paratype, APH-1356). 16, carapace, dorsal view; 17, right pedipalp, prolateral view; 18, coxa of right leg I, prolateral view; 19, spermathecae; 20, metatarsus and tarsus of left leg III, ventral view; 21, metatarsus and tarsus of left leg IV, ventral view. Scale bar = 5 mm (except for spermathecae, scale bar = 2 mm).

opennotspecifiedOct 2019View details →
zenodo32/100

FIGURE 22 in A new species of Aphonopelma (Araneae: Mygalomorphae: Theraphosidae) from the Madrean pine-oak woodlands of northeastern Sonora, Mexico

FIGURE 22. Map of the southwestern United States and northwestern Mexico showing the distributions of the Madrean members of the Marxi species group and Aphonopelma mooreae. The localities for A. mooreae are based on reports provided in iNaturalist (https://www.inaturalist.org/observations?taxon_id=264079, accessed 16 March 2019). The distribution for A. peloncillo only reflects specimens from the eastern foothills of the Peloncillo Mountains and the Animas Valley in New Mexico and does not include several specimens outside of this area as reported in Hamilton et al. (2016); further research is necessary to confirm the identity of the latter specimens. State abbreviations: AZ = Arizona, NM = New Mexico, SON = Sonora, CHI = Chihuahua. The Madrean pine-oak woodlands shapefile was "exploded" from a larger shapefile depicting the planet's biodiversity hotspots (downloaded from http://legacy.cepf.net/SiteAssets/hotspots_2016_1.zip, accessed 16 March 2019).

opennotspecifiedOct 2019View details →
zenodo32/100

FIGURE 3–4 in A new species of Aphonopelma (Araneae: Mygalomorphae: Theraphosidae) from the Madrean pine-oak woodlands of northeastern Sonora, Mexico

FIGURE 3–4. Dorsal habitus of Aphonopelma bacadehuachi, sp. nov. from Sonora, Mexico. 3, male holotype (APH-1357); 4, female paratype (APH-1356). Scale bar = 20 mm.

opennotspecifiedOct 2019View details →
zenodo32/100

FIGURE 2 in A new species of Aphonopelma (Araneae: Mygalomorphae: Theraphosidae) from the Madrean pine-oak woodlands of northeastern Sonora, Mexico

FIGURE 2. Maximum likelihood phylogeny of the Madrean members of the Marxi species group based on COX1 mtDNA. For presentation sake, specimen labels have been removed from the tree tips. Numbers along branches indicate maximum likelihood bootstrap support values. Photograph is an adult male Aphonopelma madera from the Huachuca Mountains in southeastern Arizona.

opennotspecifiedOct 2019View details →
zenodo32/100

FIGURES 5–15 in A new species of Aphonopelma (Araneae: Mygalomorphae: Theraphosidae) from the Madrean pine-oak woodlands of northeastern Sonora, Mexico

FIGURES 5–15. Morphology of Aphonopelma bacadehuachi, sp. nov. from Sonora, Mexico (male holotype, APH-1357). 5, carapace, dorsal view; 6, patella and tibia of left leg I, prolateral view; 7, tibial apophysis of left leg I, prolateral view; 8, metatarsus and tarsus of left leg III, ventral view; 9, metatarsus and tarsus of left leg IV, ventral view; 10, left pedipalp, retrolateral view; 11, left pedipalp, prolateral view; 12, femur of leg III, dorsal view; 13, palpal bulb, prolateral view; 14, palpal bulb, retrolateral view; 15, palpal bulb, dorsal view. Scale bar = 5 mm (except for palpal bulb and illustration of tibial apophysis, scale bar = 2 mm).

opennotspecifiedOct 2019View details →
zenodo32/100

FIGURE 1 in A new species of Aphonopelma (Araneae: Mygalomorphae: Theraphosidae) from the Madrean pine-oak woodlands of northeastern Sonora, Mexico

FIGURE 1. Scatterplot of principal components for measurements of mature male (top) and female (bottom) Madrean Aphonopelma species. Percentage values indicate the proportion of variation explained by a particular principal component (PC1 and PC2).

opennotspecifiedOct 2019View details →

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