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#yukon — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #yukon, aggregated by home.social.

  1. For decades, scientists thought North America had its own cheetah; ancient DNA reveals the extinct cat split from the puma lineage 2.6 million years ago

    Representative Image (AI-generated) Its appearance told one story; its DNA tells another. For …
    #NewsBeep #News #Science #Americancheetah #AncientDNA #AU #Australia #convergentevolution #EvolutionaryBiology #extinctNorthAmericancat #Miracinonyxtrumani #Pleistocenefossils #pumalineage #speciesextinction #yukon
    newsbeep.com/au/889414/

  2. For decades, scientists thought North America had its own cheetah; ancient DNA reveals the extinct cat split from the puma lineage 2.6 million years ago

    Representative Image (AI-generated) Its appearance told one story; its DNA tells another. For …
    #NewsBeep #News #Science #Americancheetah #AncientDNA #AU #Australia #convergentevolution #EvolutionaryBiology #extinctNorthAmericancat #Miracinonyxtrumani #Pleistocenefossils #pumalineage #speciesextinction #yukon
    newsbeep.com/au/889414/

  3. Poet and writer Robert W Service, who died OTD in 1958, is often called "The Bard of the #Yukon" cromwell-intl.com/travel/canad #travel #Canada

  4. My "Bold Grizzly Shares the Road" captures a spring moment from the Alaska Highway.

    A golden-brown grizzly moves through tender green shoots and dry stems, fur catching the light and its presence both powerful and composed, anchored by earth tones and textured fur.

    Which detail grabs you first — the gaze, the curve of the back, or the way the light skims the fur?

    buff.ly/I4wpxEw

    #art #photography #mastoart #mastodonart #chrisboese #boesegalleries #grizzly #nature #alaska #yukon

  5. Challenges In The Use Of Local Data For Regional Scale Mapping Of C And N Stocks In The Continuous Permafrost Zone At The Yukon Coastal Plain | Heatwave Risks To Tipping Point Of Permafrost
    --
    doi.org/10.5194/soil-12-113-20 <-- shared paper
    --
    doi.org/10.1038/s41558-026-026 <-- shared paper
    --
    theguardian.com/environment/20 <-- shared media article
    --
    cbc.ca/news/canada/north/perma <-- shared media article
    --
    [putting together two different ‘sorts’/focuses of research/reporting, but…]
    H/T @gustaf Hugelius | Professor at Stockholm University
    --
    “Permafrost soils are particularly vulnerable to climate change. To assess and improve estimations of carbon (C) and nitrogen (N) budgets it is necessary to accurately map soil carbon and nitrogen in the permafrost region. In particular, soil organic carbon (SOC) stocks have been predicted and mapped by many studies from local to pan-Arctic scales. Several studies have been carried out at the Canadian Beaufort Sea coast, though no regional maps of terrestrial carbon stocks based on spatial modelling has been conducted yet. This study combines available field data from the Canadian Yukon coastal plain and uses it to map regional SOC and N stocks using the machine learning algorithm random forest and environmental variables based on remote sensing data. [The authors] developed models using the data for the entire region and separate models for the coastal mainland area and Qikiqtaruk Herschel Island. Each model was used to map SOC and N stocks for its respective area. [They] assessed the performance of the different random forest models by using crossvalidation. [They] further assessed model results using the Area of Applicability (AOA) method and the quantile regression forest approach, comparing the results and discussing their implications within the context of both methods. [They] explore[d] local differences in soil properties and how soil data distribution across the region affects the accuracy of the predictions of SOC and N stocks..."
    #permafrost #soils #geology #climatechange #temperature #thawing #melting #emissions #CO2 #methane #carbon #nitrogen #GIS #spatial #mapping #Qikiqtaruk #HerschelIsland #Yukon #Canada #soilorganiccarbon #SOC #arctic #cryosphere #BeaufortSea #coast #coastal #machinelearning #model #modeling #remotesensing #earthobservation #carbonstocks #island #mainland #spatialanalysis #scale

  6. Challenges In The Use Of Local Data For Regional Scale Mapping Of C And N Stocks In The Continuous Permafrost Zone At The Yukon Coastal Plain | Heatwave Risks To Tipping Point Of Permafrost
    --
    doi.org/10.5194/soil-12-113-20 <-- shared paper
    --
    doi.org/10.1038/s41558-026-026 <-- shared paper
    --
    theguardian.com/environment/20 <-- shared media article
    --
    cbc.ca/news/canada/north/perma <-- shared media article
    --
    [putting together two different ‘sorts’/focuses of research/reporting, but…]
    H/T @gustaf Hugelius | Professor at Stockholm University
    --
    “Permafrost soils are particularly vulnerable to climate change. To assess and improve estimations of carbon (C) and nitrogen (N) budgets it is necessary to accurately map soil carbon and nitrogen in the permafrost region. In particular, soil organic carbon (SOC) stocks have been predicted and mapped by many studies from local to pan-Arctic scales. Several studies have been carried out at the Canadian Beaufort Sea coast, though no regional maps of terrestrial carbon stocks based on spatial modelling has been conducted yet. This study combines available field data from the Canadian Yukon coastal plain and uses it to map regional SOC and N stocks using the machine learning algorithm random forest and environmental variables based on remote sensing data. [The authors] developed models using the data for the entire region and separate models for the coastal mainland area and Qikiqtaruk Herschel Island. Each model was used to map SOC and N stocks for its respective area. [They] assessed the performance of the different random forest models by using crossvalidation. [They] further assessed model results using the Area of Applicability (AOA) method and the quantile regression forest approach, comparing the results and discussing their implications within the context of both methods. [They] explore[d] local differences in soil properties and how soil data distribution across the region affects the accuracy of the predictions of SOC and N stocks..."
    #permafrost #soils #geology #climatechange #temperature #thawing #melting #emissions #CO2 #methane #carbon #nitrogen #GIS #spatial #mapping #Qikiqtaruk #HerschelIsland #Yukon #Canada #soilorganiccarbon #SOC #arctic #cryosphere #BeaufortSea #coast #coastal #machinelearning #model #modeling #remotesensing #earthobservation #carbonstocks #island #mainland #spatialanalysis #scale

  7. Challenges In The Use Of Local Data For Regional Scale Mapping Of C And N Stocks In The Continuous Permafrost Zone At The Yukon Coastal Plain | Heatwave Risks To Tipping Point Of Permafrost
    --
    doi.org/10.5194/soil-12-113-20 <-- shared paper
    --
    doi.org/10.1038/s41558-026-026 <-- shared paper
    --
    theguardian.com/environment/20 <-- shared media article
    --
    cbc.ca/news/canada/north/perma <-- shared media article
    --
    [putting together two different ‘sorts’/focuses of research/reporting, but…]
    H/T @gustaf Hugelius | Professor at Stockholm University
    --
    “Permafrost soils are particularly vulnerable to climate change. To assess and improve estimations of carbon (C) and nitrogen (N) budgets it is necessary to accurately map soil carbon and nitrogen in the permafrost region. In particular, soil organic carbon (SOC) stocks have been predicted and mapped by many studies from local to pan-Arctic scales. Several studies have been carried out at the Canadian Beaufort Sea coast, though no regional maps of terrestrial carbon stocks based on spatial modelling has been conducted yet. This study combines available field data from the Canadian Yukon coastal plain and uses it to map regional SOC and N stocks using the machine learning algorithm random forest and environmental variables based on remote sensing data. [The authors] developed models using the data for the entire region and separate models for the coastal mainland area and Qikiqtaruk Herschel Island. Each model was used to map SOC and N stocks for its respective area. [They] assessed the performance of the different random forest models by using crossvalidation. [They] further assessed model results using the Area of Applicability (AOA) method and the quantile regression forest approach, comparing the results and discussing their implications within the context of both methods. [They] explore[d] local differences in soil properties and how soil data distribution across the region affects the accuracy of the predictions of SOC and N stocks..."
    #permafrost #soils #geology #climatechange #temperature #thawing #melting #emissions #CO2 #methane #carbon #nitrogen #GIS #spatial #mapping #Qikiqtaruk #HerschelIsland #Yukon #Canada #soilorganiccarbon #SOC #arctic #cryosphere #BeaufortSea #coast #coastal #machinelearning #model #modeling #remotesensing #earthobservation #carbonstocks #island #mainland #spatialanalysis #scale

  8. Challenges In The Use Of Local Data For Regional Scale Mapping Of C And N Stocks In The Continuous Permafrost Zone At The Yukon Coastal Plain | Heatwave Risks To Tipping Point Of Permafrost
    --
    doi.org/10.5194/soil-12-113-20 <-- shared paper
    --
    doi.org/10.1038/s41558-026-026 <-- shared paper
    --
    theguardian.com/environment/20 <-- shared media article
    --
    cbc.ca/news/canada/north/perma <-- shared media article
    --
    [putting together two different ‘sorts’/focuses of research/reporting, but…]
    H/T @gustaf Hugelius | Professor at Stockholm University
    --
    “Permafrost soils are particularly vulnerable to climate change. To assess and improve estimations of carbon (C) and nitrogen (N) budgets it is necessary to accurately map soil carbon and nitrogen in the permafrost region. In particular, soil organic carbon (SOC) stocks have been predicted and mapped by many studies from local to pan-Arctic scales. Several studies have been carried out at the Canadian Beaufort Sea coast, though no regional maps of terrestrial carbon stocks based on spatial modelling has been conducted yet. This study combines available field data from the Canadian Yukon coastal plain and uses it to map regional SOC and N stocks using the machine learning algorithm random forest and environmental variables based on remote sensing data. [The authors] developed models using the data for the entire region and separate models for the coastal mainland area and Qikiqtaruk Herschel Island. Each model was used to map SOC and N stocks for its respective area. [They] assessed the performance of the different random forest models by using crossvalidation. [They] further assessed model results using the Area of Applicability (AOA) method and the quantile regression forest approach, comparing the results and discussing their implications within the context of both methods. [They] explore[d] local differences in soil properties and how soil data distribution across the region affects the accuracy of the predictions of SOC and N stocks..."
    #permafrost #soils #geology #climatechange #temperature #thawing #melting #emissions #CO2 #methane #carbon #nitrogen #GIS #spatial #mapping #Qikiqtaruk #HerschelIsland #Yukon #Canada #soilorganiccarbon #SOC #arctic #cryosphere #BeaufortSea #coast #coastal #machinelearning #model #modeling #remotesensing #earthobservation #carbonstocks #island #mainland #spatialanalysis #scale

  9. Challenges In The Use Of Local Data For Regional Scale Mapping Of C And N Stocks In The Continuous Permafrost Zone At The Yukon Coastal Plain | Heatwave Risks To Tipping Point Of Permafrost
    --
    doi.org/10.5194/soil-12-113-20 <-- shared paper
    --
    doi.org/10.1038/s41558-026-026 <-- shared paper
    --
    theguardian.com/environment/20 <-- shared media article
    --
    cbc.ca/news/canada/north/perma <-- shared media article
    --
    [putting together two different ‘sorts’/focuses of research/reporting, but…]
    H/T @gustaf Hugelius | Professor at Stockholm University
    --
    “Permafrost soils are particularly vulnerable to climate change. To assess and improve estimations of carbon (C) and nitrogen (N) budgets it is necessary to accurately map soil carbon and nitrogen in the permafrost region. In particular, soil organic carbon (SOC) stocks have been predicted and mapped by many studies from local to pan-Arctic scales. Several studies have been carried out at the Canadian Beaufort Sea coast, though no regional maps of terrestrial carbon stocks based on spatial modelling has been conducted yet. This study combines available field data from the Canadian Yukon coastal plain and uses it to map regional SOC and N stocks using the machine learning algorithm random forest and environmental variables based on remote sensing data. [The authors] developed models using the data for the entire region and separate models for the coastal mainland area and Qikiqtaruk Herschel Island. Each model was used to map SOC and N stocks for its respective area. [They] assessed the performance of the different random forest models by using crossvalidation. [They] further assessed model results using the Area of Applicability (AOA) method and the quantile regression forest approach, comparing the results and discussing their implications within the context of both methods. [They] explore[d] local differences in soil properties and how soil data distribution across the region affects the accuracy of the predictions of SOC and N stocks..."

  10. Hype for the Future 74K: Canada 🇨🇦 Explained

    Introduction Canada is the second-largest sovereign state in the world in terms of land area, behind only Russia. However, the population size overall is significantly smaller, having only surpassed the U.S. State of California fairly recently (circa 2023), with the Provinces of Ontario and Québec holding the vast majority of the national population. Interestingly, British Columbia and Alberta are the next two largest provinces by population, the latter of which may seem surprising at […]

    novatopflex.wordpress.com/2026

  11. Good Morning #Canada
    Today's #CanadianCountryMusic artist is from the #Yukon, and it's not Garth Brooks (wrong Yukon). I'm outside my guidelines this morning because Hank Karr was actually born in Saskatchewan, but he went for a two week trip to Whitehorse and stayed for 50 years. He has a huge following in the territory, known locally as "HankHeads," and Yukoners have embraced him as their adopted son.

    #CanadaIsAwesome #CanadianArtist
    buzzsprout.com/1084424/episode