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181 results for “Channel Islands”
SBC LTER: Ocean: Ocean hourly temperature at nearshore locations along the Northern Channel Islands in the Santa Barbara Channel, ongoing since 2000
Ocean in-situ temperature data were collected at nearshore sites along the Northern Channel Islands in the Santa Barbara Channel. The earliest temperature records started in April 2000. The temporal coverage varies at each site. At the start of the temperature data collection, the tidbit or hobo sensors were deployed on a mooring line at approximate 3 m, 9m, and 14 m nominal depths, and the sampling interval is 2 minutes. In 2013, the 3 m and 9 m temperature sensors were terminated and only 14 m sensors continued. In addition, the sampling interval changed to 15 minutes. This data package presents hourly average in-situ temperature data. The original raw data (2-min interval) between 2000-2010 were published on DataOne https://search.dataone.org/portals/PISCO. Data can be viewed and accessed by zooming in the Northern Channel Islands in the Santa Barbara Channel region and searching the keyword "physical oceanography moored temperature data". These datasets were funded and managed by The Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO). In 2013, the maintenance of the sensor deployment was transferred to NOAA National Marine Sanctuaries, and Santa Barbara Coastal LTER has been responsible for data download and processing.
SBC LTER: Reef: Sightings of sea otters (Enhydra lutris) near Santa Barbara and Channel Islands, ongoing since 2007
These data describe the number, location and activity or behavior of sea otters (Enhydra lutris) individuals observed along the Santa Barbara Coast and local Channel Islands, during SBC LTER field sampling. Observations began in 2007. Records are collected regularly at SBC core sites and opportunistically while research staff are underway or travelling between sites. Locations are included, but some latitudes and longitudes are approximate.
Plant Atlas 2020 — Plant native statuses for Britain, Ireland and the Channel Islands
<p>Plant Atlas 2020 is the most comprehensive survey of plants (flowering plants, ferns and charophytes) ever undertaken in Britain and Ireland. It is based on over 30 million records, collected mainly by volunteer recorders of the Botanical Society of Britain and Ireland (BSBI) between 2000 and 2019, as well as previous nationwide surveys undertaken in the 1950s and 1990s. This resource provides the data behind statements concerning species’ native statuses, for various geographical levels and areas, presented in the Plant Atlas 2020 website (<a href="http://www.plantatlas2020.org"><span>www.plantatlas2020.org</span></a><span>) and book (Stroh et al., 2023).</span></p>
SBC LTER: Beach: CO₂ flux, wrack subsidies, invertebrate community, and consumer respiration rates for Channel Islands sandy beaches
These data result from surveys of 14 sandy beach sites on four of California’s Channel Islands from 2016 to 2018. We quantified marine macrophyte wrack subsidies, macroinvertebrates, beach physical parameters, and sediment CO2 flux at each site in order to elucidate the role of marine wrack subsidies and wrack consumers on sandy beach sediment CO2 flux. We also measured the respiration rates of the six most common wrack consumer species in the laboratory. Data are contained in two tables: 1) Mean wrack cover, invertebrate community composition (species richness, abundance, and biomass), beach physical parameters, and sediment CO2 flux, and 2) respiration rates and biomass of each replicate individual for each of the six species.
РИС. 8. Примеры проблем с иЗображением при работе на СЭМ. А, В. Засветка раЗличных частей раковин глохидиев (А. Anodonta anatina (=Colletopterum), оЗ. Красное, ХакасиЯ. В. Inversiunio reinianus, оЗ. Бива, о-в Хонсю, ЯпониЯ). C. РаЗнаЯ скорость сканированиЯ (слева – очень быстраЯ, справа – медленнаЯ) наружной поверхности глохидиЯ (Anodonta cygnea, р. Ялма, МосковскаЯ обл.). D. Артефакты в виде гориЗонтальных полос вследствие накоплениЯ отрицательного ЗарЯда при недостаточном напылении внутренней поверхности глохидиЯ (Nodularia douglasiae, ПетровскаЯ протока, бассейн р. Амур, Хабаровский кр.). МасШтаб 50 мкм (А, В), 2 мкм (С), 5 мкм (D). Микроскопы Zeiss EVO 40 (А, С, D), Zeiss MERLIN (В), напыление углеродом (А, С), хромом (В, D). FIG. 8. Illustration of different problems with SEM images. A, B. Overall illumination of some glochidia shells parts (A. Anodonta anatina (= Colletopterum), Krasnoe Lake, Khakassia. B. Inversiunio reinianus, Biwa Lake, Honshu Island, Japan). C. Different scanning speed (faster on the left and slower on the right) of the exterior glochidia valve (Anodonta cygnea, Yalma River, Moscow Oblast). D. Artifacts as horizontal stripes because of additional accumulation of a negative charge due to insufficient coating of the interior glochidia valve (Nodularia douglasiae, Petrovskaya channel, Amur River basin, Khabarovsk Krai). Scale bars 50 μm (A, B), 2 μm (C), 5 μm (D). Zeiss EVO 40 (A, C, D) and Zeiss MERLIN (B) microscopes, sputter coating with carbon (A, C) and chromium (B, D). in Методика подготовки раковин глохидиев (Bivalvia, Unionidae) длЯ работы на сканируюЩем Электронном микроскопе
РИС. 8. Примеры проблем с иЗображением при работе на СЭМ. А, В. Засветка раЗличных частей раковин глохидиев (А. Anodonta anatina (=Colletopterum), оЗ. Красное, ХакасиЯ. В. Inversiunio reinianus, оЗ. Бива, о-в Хонсю, ЯпониЯ). C. РаЗнаЯ скорость сканированиЯ (слева – очень быстраЯ, справа – медленнаЯ) наружной поверхности глохидиЯ (Anodonta cygnea, р. Ялма, МосковскаЯ обл.). D. Артефакты в виде гориЗонтальных полос вследствие накоплениЯ отрицательного ЗарЯда при недостаточном напылении внутренней поверхности глохидиЯ (Nodularia douglasiae, ПетровскаЯ протока, бассейн р. Амур, Хабаровский кр.). МасШтаб 50 мкм (А, В), 2 мкм (С), 5 мкм (D). Микроскопы Zeiss EVO 40 (А, С, D), Zeiss MERLIN (В), напыление углеродом (А, С), хромом (В, D). FIG. 8. Illustration of different problems with SEM images. A, B. Overall illumination of some glochidia shells parts (A. Anodonta anatina (= Colletopterum), Krasnoe Lake, Khakassia. B. Inversiunio reinianus, Biwa Lake, Honshu Island, Japan). C. Different scanning speed (faster on the left and slower on the right) of the exterior glochidia valve (Anodonta cygnea, Yalma River, Moscow Oblast). D. Artifacts as horizontal stripes because of additional accumulation of a negative charge due to insufficient coating of the interior glochidia valve (Nodularia douglasiae, Petrovskaya channel, Amur River basin, Khabarovsk Krai). Scale bars 50 μm (A, B), 2 μm (C), 5 μm (D). Zeiss EVO 40 (A, C, D) and Zeiss MERLIN (B) microscopes, sputter coating with carbon (A, C) and chromium (B, D).
Рис. 1. Карта-схема пунктов сборов Gynaephora (rossii) в Якутии: 1 — о-в КотеΛьный; 2 — о-в СтоΛбовой; 3 — о-в МаΛый Αяховский; 4 — о-в БоΛьшой Αяховский; 5 — п-ов Быковский в устье Αены; 6 — СеΛΛяхская губа, р. СеΛях, низовья Яны; 7 — КоΛымская протока, низовья ИнΔигирки; 8 — озеро ХомоΛох, бассейн р. БёрёΛёх, низовья ИнΔигирки; 9 — о-в Крестовский; 10 — о-в ЧетырехстоΛбовой; 11 — устье р. Энюмчувеем, южное побережье Восточно-Сибирского моря; 12 — хребет СунтарХаята; 13 — р. ÀжеΛинΔа в системе Станового хребта (точками обозначены ранее опубΛикованные точки, треугоΛьниками — новые местообитания) Fig. 1. Chart of Gynaephora (rossii) collection sites in Yakutia: 1 — Kotelny island; 2 — Stolbovoy island; 3 — Maly Lyakhovsky island; 4 — Bolshoi Lyakhovsky island; 5 — Bykovsky peninsula at the mouth of the Lena river; 6 — Sellakhskaya bay, Selyakh river, lower reaches of the Yana river; 7 — Kolymskaya channel, lower reaches of the Indigirka river; 8 — Lake Homolokh, Berelekh river basin, lower reaches of the Indigirka river; 9 — Krestovsky island; 10 — Chetyrekhstolbovoy island; 11 — the mouth of the Enyumchuveem river, southern coast of the East Siberian sea; 12 — Suntar-Khayata ridge; 13 — Gelinda river in the Stanovoy ridge system (dots indicate previously published localities, triangles indicate new localities) in New data on the distribution of the Gynaephora (rossii) species group in Northern Yakutia
Рис. 1. Карта-схема пунктов сборов Gynaephora (rossii) в Якутии: 1 — о-в КотеΛьный; 2 — о-в СтоΛбовой; 3 — о-в МаΛый Αяховский; 4 — о-в БоΛьшой Αяховский; 5 — п-ов Быковский в устье Αены; 6 — СеΛΛяхская губа, р. СеΛях, низовья Яны; 7 — КоΛымская протока, низовья ИнΔигирки; 8 — озеро ХомоΛох, бассейн р. БёрёΛёх, низовья ИнΔигирки; 9 — о-в Крестовский; 10 — о-в ЧетырехстоΛбовой; 11 — устье р. Энюмчувеем, южное побережье Восточно-Сибирского моря; 12 — хребет СунтарХаята; 13 — р. ÀжеΛинΔа в системе Станового хребта (точками обозначены ранее опубΛикованные точки, треугоΛьниками — новые местообитания) Fig. 1. Chart of Gynaephora (rossii) collection sites in Yakutia: 1 — Kotelny island; 2 — Stolbovoy island; 3 — Maly Lyakhovsky island; 4 — Bolshoi Lyakhovsky island; 5 — Bykovsky peninsula at the mouth of the Lena river; 6 — Sellakhskaya bay, Selyakh river, lower reaches of the Yana river; 7 — Kolymskaya channel, lower reaches of the Indigirka river; 8 — Lake Homolokh, Berelekh river basin, lower reaches of the Indigirka river; 9 — Krestovsky island; 10 — Chetyrekhstolbovoy island; 11 — the mouth of the Enyumchuveem river, southern coast of the East Siberian sea; 12 — Suntar-Khayata ridge; 13 — Gelinda river in the Stanovoy ridge system (dots indicate previously published localities, triangles indicate new localities)
Linked collectors and determiners for: Caddisfly (Trichoptera) records from Britain (excluding Northern Ireland and Channel Islands) up to August 2022 from the National Trichoptera (Caddisfly) Recording Scheme.
Natural history specimen data linked to collectors and determiners held within, "Caddisfly (Trichoptera) records from Britain (excluding Northern Ireland and Channel Islands) up to August 2022 from the National Trichoptera (Caddisfly) Recording Scheme". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/bba60198-3eb5-4101-954d-3e2c87df4b73">https://bionomia.net/dataset/bba60198-3eb5-4101-954d-3e2c87df4b73</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/bba60198-3eb5-4101-954d-3e2c87df4b73">https://gbif.org/dataset/bba60198-3eb5-4101-954d-3e2c87df4b73</a>. Formatted as a Frictionless Data package.
Guam is about 30 miles long and 4 to 8 miles wide. The portion of the island northeast of Agana, the capital, is a limestone plateau 200 to 300 feet in elevation. The docks are at Piti, and a channel 2 miles long extends to the ship anchorage in the outer part of Apra Harbor. Heavy lines on the map are automobile roads, broken lines are trails, and heavy broken lines are poor roads. in Map of Guam
Guam is about 30 miles long and 4 to 8 miles wide. The portion of the island northeast of Agana, the capital, is a limestone plateau 200 to 300 feet in elevation. The docks are at Piti, and a channel 2 miles long extends to the ship anchorage in the outer part of Apra Harbor. Heavy lines on the map are automobile roads, broken lines are trails, and heavy broken lines are poor roads.
MAP OF GUA:i\I Guam is about 30 miles long and 4 to 8 miles wide. The portion of the island northeast of Agana, the capital, is a limestone plateau 200 to 300 feet in elevation. The docks are at Piti, and a channel 2 miles long extends to the ship anchorage in the outer part of Apra Harbor. Heavy lines on the map are automobile roads, broken lines are trails, and heavy broken lines are poor roads. in Map of Guam
MAP OF GUA:i\I Guam is about 30 miles long and 4 to 8 miles wide. The portion of the island northeast of Agana, the capital, is a limestone plateau 200 to 300 feet in elevation. The docks are at Piti, and a channel 2 miles long extends to the ship anchorage in the outer part of Apra Harbor. Heavy lines on the map are automobile roads, broken lines are trails, and heavy broken lines are poor roads.
MAP OF GUAM Guam is about 30 miles long and 4 to 8 miles wide. The portion of the island northeast of Agana, the capital, is a limestone plateau 200 to 300 feet in elevation. The docks are at Piti, and a channel 2 miles long extends to the ship anchorage in the outer part of Apra Harbor. Heavy lines on the map are automobile roads, broken lines are trails, and heavy broken lines are poor roads. in Map of Guam
MAP OF GUAM Guam is about 30 miles long and 4 to 8 miles wide. The portion of the island northeast of Agana, the capital, is a limestone plateau 200 to 300 feet in elevation. The docks are at Piti, and a channel 2 miles long extends to the ship anchorage in the outer part of Apra Harbor. Heavy lines on the map are automobile roads, broken lines are trails, and heavy broken lines are poor roads.
Disentangling complex histories of hybridisation: The genomic consequences of ancient and recent introgression in Channel Island monkeyflowers
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Santa Barbara Channel Coastal and Island fish survey from the Reef Check, 2006-2017
The data were collected by the Reef Check organization: https://reefcheck.org/ Every year, Reef Check trains thousands of citizen scientist divers who volunteer to survey the health of coral reefs around the world, and rocky reef ecosystems along the entire coast of California. The programs monitor rocky reefs inside and outside of California's marine protected areas (MPAs). The results are used to improve the management of these critically important natural resources. The data presented here were a subset of the data that cover the Santa Barbara Channel region, southern California, USA.
Adaptive and non-adaptive convergent evolution in feather reflectance of Channel Islands songbirds
<p>Convergent evolution is widely regarded as a signature of adaptation. But testing the adaptive consequences of convergent phenotypes is challenging, making it difficult to exclude non-adaptive explanations for convergence. Here, we combined feather reflectance spectra and phenotypic trajectory analyses with visual and thermoregulatory modeling to test the adaptive significance of dark plumage in songbirds of the California Channel Islands. By evolving dark dorsal plumage, island birds are generally less conspicuous to visual-hunting raptors in the island environment than mainland birds. Dark dorsal plumage also reduces the energetic demands associated with maintaining homeothermy in the cool island climate. We also found an unexpected pattern of convergence, wherein the most divergent island populations evolved greater reflectance of near-infrared radiation. However, our heat flux models indicate that elevated near-infrared reflectance is not adaptive. Analysis of feather microstructure suggests that island-mainland differences are related to coloration of feather barbs and barbules rather than their structure. Our results indicate that adaptive and non-adaptive mechanisms interact to drive plumage evolution in this system. This study sheds light on the mechanisms driving the association between dark color and wet, cold environments across the tree of life, especially in island birds.</p>
Constructing visualization tools and training resources to assess climate impacts on the channel islands national marine sanctuary NetCDF files
<p>The Channel Islands Marine Sanctuary (CINMS) comprises 1,470 square miles surrounding the Northern Channel Islands: Anacapa, Santa Cruz, Santa Rosa, San Miguel, and Santa Barbara, protecting various species and habitats. However, these sensitive habitats are highly susceptible to climate-driven 'shock' events which are associated with extreme values of temperature, pH, or ocean nutrient levels. A particularly devastating example was seen in 2014-16, when extreme temperatures and changes in nutrient conditions off the California coast led to large-scale die-offs of marine organisms. Global climate models are the best tool available to predict how these shocks may respond to climate change. To better understand the drivers and statistics of climate-driven ecosystem shocks, a 'large ensemble' of simulations run with multiple climate models will be used. The objective of this project is to develop a Python-based web application to visualize ecologically significant climate variables near the CINMS. The web application will be used by researchers from the University of California, Santa Barbara (UCSB) to analyze climate model output, and by CINMS staff to develop new indicators of shocks to marine ecosystems.</p>
Relationship between Channel Island Melospiza melodia (Song Sparrow) bill size and vegetation, seed extraction time, bite force, and climate (2014-2016)
<p>Inferring the environmental selection pressures responsible for phenotypic variation is a challenge in adaptation studies as traits often have multiple functions and are shaped by complex selection regimes. We provide indirect evidence that morphology of the multifunctional avian bill is primarily shaped by climate and thermoregulatory ability in <em>Melospiza melodia</em> (Song Sparrows) on the California Channel Islands. Our research builds on a study in Song Sparrow museum specimens that demonstrated a positive correlation between bill surface area and maximum temperature, suggesting a greater demand for dry heat dissipation in hotter, xeric environments. We sampled contemporary sparrow populations across three climatically distinct islands to test the hypotheses that bill morphology is influenced by habitat differences with functional consequences for foraging efficiency and is related to maximum temperature and, consequently, important for thermoregulation. Measurements of >500 live individuals indicated a significant, positive relationship between maximum temperature and bill surface area when correcting for body size. In contrast, maximum bite force, seed extraction time, and vegetation on breeding territories (a proxy for food resources) were not significantly associated with bill dimensions. While we cannot exclude the influence of foraging ability and diet on bill morphology, our results are consistent with the hypothesis that variation in Song Sparrows' need for thermoregulatory capacity across the northern Channel Islands selects for divergence in bill surface area.</p>
Adaptive and non-adaptive convergent evolution in feather reflectance of Channel Islands songbirds
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Data from: Ramalina sarahae (Ramalinaceae), a new species from the Channel Islands of California, U.S.A.
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Relationship between Channel Island Melospiza melodia (Song Sparrow) bill size and vegetation, seed extraction time, bite force, and climate (2014-2016)
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Constructing visualization tools and training resources to assess climate impacts on the channel islands national marine sanctuary NetCDF files
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North Temperate Lakes site, station North Temperate Lakes, Site 31, Channel Mouth Island, study of plant species richness in units of numberPer1pt25SquareMeters 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 North Temperate Lakes (NTL) contains plant species richness measurements in numberPer1pt25SquareMeters units and were aggregated to a yearly timescale.
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