home.social

#habitat — Public Fediverse posts

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

  1. A High-Resolution Habitat Map For England (LCM 3m)
    --
    ceh.ac.uk/data/information-pro <-- shared data resources and overview
    --
    [this post should not be considered an endorsement of a specific product]
    H/T @Chris Marston | Earth Observation specialist at the UK Centre for Ecology and Hydrology
    “What does it take to map England's landscapes at 3m resolution?
    • 12,852 satellite images processed
    • 1.85 trillion pixels analysed
    • Over 14 billion pixels classified
    • 72 land cover and habitat classes mapped
    [The H/T is] delighted to share the launch of the new UKCEH 3m Resolution Land Cover Map for England.
    Built using PlanetScope satellite imagery, Environment Agency LiDAR, Ordnance Survey datasets and machine learning, this is the most detailed national land cover mapping product that UKCEH has produced to date.
    With every pixel representing a 3m × 3m area, the map captures landscape features that have previously been difficult to identify consistently at national scale, including individual trees, hedgerows, scrub habitats, field margins and urban green spaces.
    For more than three decades, UKCEH Land Cover Maps have helped researchers, policymakers and land managers understand how habitats are distributed across the landscape and how they change over time. The new 3m product marks the next major evolution of that capability, opening up new opportunities for:
    ✅ Biodiversity monitoring and BNG assessment
    ✅ Habitat restoration planning
    ✅ Natural flood management
    ✅ Carbon accounting
    ✅ Ecosystem service assessment
    ✅ Urban green infrastructure planning
    ✅ Agricultural and environmental policy development
    … Academic researchers can access UKCEH's Land Cover Maps, including the new 3m resolution product, free of charge through EDINA's Environment Digimap Service if their institution is registered…”
    --
    “LCM 3m is UKCEH's highest-resolution national habitat map for England, providing habitat and land cover information at 3 metre resolution. It classifies England into 72 habitat and land cover categories and complements UKCEH's established Land Cover Map products by providing finer spatial detail for habitat-focused applications.
    Key Benefits:
    • 3 metre spatial resolution
    • 72 habitat and land cover categories
    • England-wide coverage
    • Broad alignment with UK Habitat Classification (UKHab)
    • 90.89% overall classification accuracy
    The product documentation provides information on the methodology, habitat classification, accuracy assessment, applications and licensing options…”
    #RemoteSensing #EarthObservation #LandCover #HabitatMapping #Biodiversity #PlanetScope #Planet #UCKEH #GIS #spatial #mapping #spatialanalysis #UKHab #habitat #UK #LCM #LCM3 #landcover #landuse #LiDAR #AI #machinelearning #model #modeling #vegetation #hedgerow #agriculture #field #biodiversity #monitoring #BNG #assessment #flood #flooding #management #ecosystem #infrastructure #environment
    @uk Centre for Ecology & Hydrology (UKCEH) | @Ordnance Survey

  2. A High-Resolution Habitat Map For England (LCM 3m)
    --
    ceh.ac.uk/data/information-pro <-- shared data resources and overview
    --
    [this post should not be considered an endorsement of a specific product]
    H/T @Chris Marston | Earth Observation specialist at the UK Centre for Ecology and Hydrology
    “What does it take to map England's landscapes at 3m resolution?
    • 12,852 satellite images processed
    • 1.85 trillion pixels analysed
    • Over 14 billion pixels classified
    • 72 land cover and habitat classes mapped
    [The H/T is] delighted to share the launch of the new UKCEH 3m Resolution Land Cover Map for England.
    Built using PlanetScope satellite imagery, Environment Agency LiDAR, Ordnance Survey datasets and machine learning, this is the most detailed national land cover mapping product that UKCEH has produced to date.
    With every pixel representing a 3m × 3m area, the map captures landscape features that have previously been difficult to identify consistently at national scale, including individual trees, hedgerows, scrub habitats, field margins and urban green spaces.
    For more than three decades, UKCEH Land Cover Maps have helped researchers, policymakers and land managers understand how habitats are distributed across the landscape and how they change over time. The new 3m product marks the next major evolution of that capability, opening up new opportunities for:
    ✅ Biodiversity monitoring and BNG assessment
    ✅ Habitat restoration planning
    ✅ Natural flood management
    ✅ Carbon accounting
    ✅ Ecosystem service assessment
    ✅ Urban green infrastructure planning
    ✅ Agricultural and environmental policy development
    … Academic researchers can access UKCEH's Land Cover Maps, including the new 3m resolution product, free of charge through EDINA's Environment Digimap Service if their institution is registered…”
    --
    “LCM 3m is UKCEH's highest-resolution national habitat map for England, providing habitat and land cover information at 3 metre resolution. It classifies England into 72 habitat and land cover categories and complements UKCEH's established Land Cover Map products by providing finer spatial detail for habitat-focused applications.
    Key Benefits:
    • 3 metre spatial resolution
    • 72 habitat and land cover categories
    • England-wide coverage
    • Broad alignment with UK Habitat Classification (UKHab)
    • 90.89% overall classification accuracy
    The product documentation provides information on the methodology, habitat classification, accuracy assessment, applications and licensing options…”
    #RemoteSensing #EarthObservation #LandCover #HabitatMapping #Biodiversity #PlanetScope #Planet #UCKEH #GIS #spatial #mapping #spatialanalysis #UKHab #habitat #UK #LCM #LCM3 #landcover #landuse #LiDAR #AI #machinelearning #model #modeling #vegetation #hedgerow #agriculture #field #biodiversity #monitoring #BNG #assessment #flood #flooding #management #ecosystem #infrastructure #environment
    @uk Centre for Ecology & Hydrology (UKCEH) | @Ordnance Survey

  3. A High-Resolution Habitat Map For England (LCM 3m)
    --
    ceh.ac.uk/data/information-pro <-- shared data resources and overview
    --
    [this post should not be considered an endorsement of a specific product]
    H/T @Chris Marston | Earth Observation specialist at the UK Centre for Ecology and Hydrology
    “What does it take to map England's landscapes at 3m resolution?
    • 12,852 satellite images processed
    • 1.85 trillion pixels analysed
    • Over 14 billion pixels classified
    • 72 land cover and habitat classes mapped
    [The H/T is] delighted to share the launch of the new UKCEH 3m Resolution Land Cover Map for England.
    Built using PlanetScope satellite imagery, Environment Agency LiDAR, Ordnance Survey datasets and machine learning, this is the most detailed national land cover mapping product that UKCEH has produced to date.
    With every pixel representing a 3m × 3m area, the map captures landscape features that have previously been difficult to identify consistently at national scale, including individual trees, hedgerows, scrub habitats, field margins and urban green spaces.
    For more than three decades, UKCEH Land Cover Maps have helped researchers, policymakers and land managers understand how habitats are distributed across the landscape and how they change over time. The new 3m product marks the next major evolution of that capability, opening up new opportunities for:
    ✅ Biodiversity monitoring and BNG assessment
    ✅ Habitat restoration planning
    ✅ Natural flood management
    ✅ Carbon accounting
    ✅ Ecosystem service assessment
    ✅ Urban green infrastructure planning
    ✅ Agricultural and environmental policy development
    … Academic researchers can access UKCEH's Land Cover Maps, including the new 3m resolution product, free of charge through EDINA's Environment Digimap Service if their institution is registered…”
    --
    “LCM 3m is UKCEH's highest-resolution national habitat map for England, providing habitat and land cover information at 3 metre resolution. It classifies England into 72 habitat and land cover categories and complements UKCEH's established Land Cover Map products by providing finer spatial detail for habitat-focused applications.
    Key Benefits:
    • 3 metre spatial resolution
    • 72 habitat and land cover categories
    • England-wide coverage
    • Broad alignment with UK Habitat Classification (UKHab)
    • 90.89% overall classification accuracy
    The product documentation provides information on the methodology, habitat classification, accuracy assessment, applications and licensing options…”
    #RemoteSensing #EarthObservation #LandCover #HabitatMapping #Biodiversity #PlanetScope #Planet #UCKEH #GIS #spatial #mapping #spatialanalysis #UKHab #habitat #UK #LCM #LCM3 #landcover #landuse #LiDAR #AI #machinelearning #model #modeling #vegetation #hedgerow #agriculture #field #biodiversity #monitoring #BNG #assessment #flood #flooding #management #ecosystem #infrastructure #environment
    @uk Centre for Ecology & Hydrology (UKCEH) | @Ordnance Survey

  4. A High-Resolution Habitat Map For England (LCM 3m)
    --
    ceh.ac.uk/data/information-pro <-- shared data resources and overview
    --
    [this post should not be considered an endorsement of a specific product]
    H/T @Chris Marston | Earth Observation specialist at the UK Centre for Ecology and Hydrology
    “What does it take to map England's landscapes at 3m resolution?
    • 12,852 satellite images processed
    • 1.85 trillion pixels analysed
    • Over 14 billion pixels classified
    • 72 land cover and habitat classes mapped
    [The H/T is] delighted to share the launch of the new UKCEH 3m Resolution Land Cover Map for England.
    Built using PlanetScope satellite imagery, Environment Agency LiDAR, Ordnance Survey datasets and machine learning, this is the most detailed national land cover mapping product that UKCEH has produced to date.
    With every pixel representing a 3m × 3m area, the map captures landscape features that have previously been difficult to identify consistently at national scale, including individual trees, hedgerows, scrub habitats, field margins and urban green spaces.
    For more than three decades, UKCEH Land Cover Maps have helped researchers, policymakers and land managers understand how habitats are distributed across the landscape and how they change over time. The new 3m product marks the next major evolution of that capability, opening up new opportunities for:
    ✅ Biodiversity monitoring and BNG assessment
    ✅ Habitat restoration planning
    ✅ Natural flood management
    ✅ Carbon accounting
    ✅ Ecosystem service assessment
    ✅ Urban green infrastructure planning
    ✅ Agricultural and environmental policy development
    … Academic researchers can access UKCEH's Land Cover Maps, including the new 3m resolution product, free of charge through EDINA's Environment Digimap Service if their institution is registered…”
    --
    “LCM 3m is UKCEH's highest-resolution national habitat map for England, providing habitat and land cover information at 3 metre resolution. It classifies England into 72 habitat and land cover categories and complements UKCEH's established Land Cover Map products by providing finer spatial detail for habitat-focused applications.
    Key Benefits:
    • 3 metre spatial resolution
    • 72 habitat and land cover categories
    • England-wide coverage
    • Broad alignment with UK Habitat Classification (UKHab)
    • 90.89% overall classification accuracy
    The product documentation provides information on the methodology, habitat classification, accuracy assessment, applications and licensing options…”
    #RemoteSensing #EarthObservation #LandCover #HabitatMapping #Biodiversity #PlanetScope #Planet #UCKEH #GIS #spatial #mapping #spatialanalysis #UKHab #habitat #UK #LCM #LCM3 #landcover #landuse #LiDAR #AI #machinelearning #model #modeling #vegetation #hedgerow #agriculture #field #biodiversity #monitoring #BNG #assessment #flood #flooding #management #ecosystem #infrastructure #environment
    @uk Centre for Ecology & Hydrology (UKCEH) | @Ordnance Survey

  5. A High-Resolution Habitat Map For England (LCM 3m)
    --
    ceh.ac.uk/data/information-pro <-- shared data resources and overview
    --
    [this post should not be considered an endorsement of a specific product]
    H/T @Chris Marston | Earth Observation specialist at the UK Centre for Ecology and Hydrology
    “What does it take to map England's landscapes at 3m resolution?
    • 12,852 satellite images processed
    • 1.85 trillion pixels analysed
    • Over 14 billion pixels classified
    • 72 land cover and habitat classes mapped
    [The H/T is] delighted to share the launch of the new UKCEH 3m Resolution Land Cover Map for England.
    Built using PlanetScope satellite imagery, Environment Agency LiDAR, Ordnance Survey datasets and machine learning, this is the most detailed national land cover mapping product that UKCEH has produced to date.
    With every pixel representing a 3m × 3m area, the map captures landscape features that have previously been difficult to identify consistently at national scale, including individual trees, hedgerows, scrub habitats, field margins and urban green spaces.
    For more than three decades, UKCEH Land Cover Maps have helped researchers, policymakers and land managers understand how habitats are distributed across the landscape and how they change over time. The new 3m product marks the next major evolution of that capability, opening up new opportunities for:
    ✅ Biodiversity monitoring and BNG assessment
    ✅ Habitat restoration planning
    ✅ Natural flood management
    ✅ Carbon accounting
    ✅ Ecosystem service assessment
    ✅ Urban green infrastructure planning
    ✅ Agricultural and environmental policy development
    … Academic researchers can access UKCEH's Land Cover Maps, including the new 3m resolution product, free of charge through EDINA's Environment Digimap Service if their institution is registered…”
    --
    “LCM 3m is UKCEH's highest-resolution national habitat map for England, providing habitat and land cover information at 3 metre resolution. It classifies England into 72 habitat and land cover categories and complements UKCEH's established Land Cover Map products by providing finer spatial detail for habitat-focused applications.
    Key Benefits:
    • 3 metre spatial resolution
    • 72 habitat and land cover categories
    • England-wide coverage
    • Broad alignment with UK Habitat Classification (UKHab)
    • 90.89% overall classification accuracy
    The product documentation provides information on the methodology, habitat classification, accuracy assessment, applications and licensing options…”

    @uk Centre for Ecology & Hydrology (UKCEH) | @Ordnance Survey

  6. Forecasting Marsh Resilience in the Plum Island Estuary - Integrating Uncertainty to Inform Coastal Management
    --
    doi.org/10.1007/s12237-026-018 <-- shared paper
    --
    lternet.edu/site/plum-island-e <-- Plum Island Ecosystems LTER details
    --
    H/T @ramin Familkhalili, Ph.D. | Estuarine System Scientist at the NOAA National Centers for Coastal Ocean Science (NCCOS|CSS)| Adjunct Associate Professor at Old Dominion University
    “[The authors] new study in the Plum Island Estuary (MA) incorporates future sea-level rise uncertainty and DEM bias correction to expose non-linear tipping points before resilient marsh platforms shift into rapid drowning. By synthesizing these simulations into a "marsh fate" map, [they] provide coastal managers with a practical tool to identify resilient core habitats, prioritize vulnerable intervention zones, and secure future migration corridors for targeted restoration…”
    #CoastalResilience #SeaLevelRise #ClimateAdaptation #CoastalManagement #PlumIsland #estuary #sealevel #sealevelrise #Massachusetts #ecology #habitat #marsh #fate #GIS #spatial #spatialanalysis #remotesensing #topobathy #bathymetry #elevation #coast #management #coastline #tide #tidal #resilience #workflow #SLR #DEM #tidegauge #model #modeling #SLAMM #sediment #sedimentation #wetland #LiDAR #DEM #climatechange #saltmarsh #accretion #water #hydrology #drowning #restoration
    #NOAA

  7. Forecasting Marsh Resilience in the Plum Island Estuary - Integrating Uncertainty to Inform Coastal Management
    --
    doi.org/10.1007/s12237-026-018 <-- shared paper
    --
    lternet.edu/site/plum-island-e <-- Plum Island Ecosystems LTER details
    --
    H/T @ramin Familkhalili, Ph.D. | Estuarine System Scientist at the NOAA National Centers for Coastal Ocean Science (NCCOS|CSS)| Adjunct Associate Professor at Old Dominion University
    “[The authors] new study in the Plum Island Estuary (MA) incorporates future sea-level rise uncertainty and DEM bias correction to expose non-linear tipping points before resilient marsh platforms shift into rapid drowning. By synthesizing these simulations into a "marsh fate" map, [they] provide coastal managers with a practical tool to identify resilient core habitats, prioritize vulnerable intervention zones, and secure future migration corridors for targeted restoration…”
    #CoastalResilience #SeaLevelRise #ClimateAdaptation #CoastalManagement #PlumIsland #estuary #sealevel #sealevelrise #Massachusetts #ecology #habitat #marsh #fate #GIS #spatial #spatialanalysis #remotesensing #topobathy #bathymetry #elevation #coast #management #coastline #tide #tidal #resilience #workflow #SLR #DEM #tidegauge #model #modeling #SLAMM #sediment #sedimentation #wetland #LiDAR #DEM #climatechange #saltmarsh #accretion #water #hydrology #drowning #restoration
    #NOAA

  8. Forecasting Marsh Resilience in the Plum Island Estuary - Integrating Uncertainty to Inform Coastal Management
    --
    doi.org/10.1007/s12237-026-018 <-- shared paper
    --
    lternet.edu/site/plum-island-e <-- Plum Island Ecosystems LTER details
    --
    H/T @ramin Familkhalili, Ph.D. | Estuarine System Scientist at the NOAA National Centers for Coastal Ocean Science (NCCOS|CSS)| Adjunct Associate Professor at Old Dominion University
    “[The authors] new study in the Plum Island Estuary (MA) incorporates future sea-level rise uncertainty and DEM bias correction to expose non-linear tipping points before resilient marsh platforms shift into rapid drowning. By synthesizing these simulations into a "marsh fate" map, [they] provide coastal managers with a practical tool to identify resilient core habitats, prioritize vulnerable intervention zones, and secure future migration corridors for targeted restoration…”
    #CoastalResilience #SeaLevelRise #ClimateAdaptation #CoastalManagement #PlumIsland #estuary #sealevel #sealevelrise #Massachusetts #ecology #habitat #marsh #fate #GIS #spatial #spatialanalysis #remotesensing #topobathy #bathymetry #elevation #coast #management #coastline #tide #tidal #resilience #workflow #SLR #DEM #tidegauge #model #modeling #SLAMM #sediment #sedimentation #wetland #LiDAR #DEM #climatechange #saltmarsh #accretion #water #hydrology #drowning #restoration
    #NOAA

  9. Forecasting Marsh Resilience in the Plum Island Estuary - Integrating Uncertainty to Inform Coastal Management
    --
    doi.org/10.1007/s12237-026-018 <-- shared paper
    --
    lternet.edu/site/plum-island-e <-- Plum Island Ecosystems LTER details
    --
    H/T @ramin Familkhalili, Ph.D. | Estuarine System Scientist at the NOAA National Centers for Coastal Ocean Science (NCCOS|CSS)| Adjunct Associate Professor at Old Dominion University
    “[The authors] new study in the Plum Island Estuary (MA) incorporates future sea-level rise uncertainty and DEM bias correction to expose non-linear tipping points before resilient marsh platforms shift into rapid drowning. By synthesizing these simulations into a "marsh fate" map, [they] provide coastal managers with a practical tool to identify resilient core habitats, prioritize vulnerable intervention zones, and secure future migration corridors for targeted restoration…”
    #CoastalResilience #SeaLevelRise #ClimateAdaptation #CoastalManagement #PlumIsland #estuary #sealevel #sealevelrise #Massachusetts #ecology #habitat #marsh #fate #GIS #spatial #spatialanalysis #remotesensing #topobathy #bathymetry #elevation #coast #management #coastline #tide #tidal #resilience #workflow #SLR #DEM #tidegauge #model #modeling #SLAMM #sediment #sedimentation #wetland #LiDAR #DEM #climatechange #saltmarsh #accretion #water #hydrology #drowning #restoration
    #NOAA

  10. Forecasting Marsh Resilience in the Plum Island Estuary - Integrating Uncertainty to Inform Coastal Management
    --
    doi.org/10.1007/s12237-026-018 <-- shared paper
    --
    lternet.edu/site/plum-island-e <-- Plum Island Ecosystems LTER details
    --
    H/T @ramin Familkhalili, Ph.D. | Estuarine System Scientist at the NOAA National Centers for Coastal Ocean Science (NCCOS|CSS)| Adjunct Associate Professor at Old Dominion University
    “[The authors] new study in the Plum Island Estuary (MA) incorporates future sea-level rise uncertainty and DEM bias correction to expose non-linear tipping points before resilient marsh platforms shift into rapid drowning. By synthesizing these simulations into a "marsh fate" map, [they] provide coastal managers with a practical tool to identify resilient core habitats, prioritize vulnerable intervention zones, and secure future migration corridors for targeted restoration…”

  11. 🐼 NEW: Three very cute #redpanda #cubs were born at the #Smithsonian’s #FrontRoyal, #Virginia campus over the summer – two on May 29th to #Sequoia and #MowMow and one on June 11th to #Keahi.

    Keepers describe their distinct temperaments in a #species with fewer than 10,000 wild individuals that face #habitat fragmentation across #Nepal, #India, #Bhutan, #Myanmar, and #China.

    👉 popsci.com/environment/red-pan

    #pandas #nationalzoo #conservation #wildlife #bamboo #endangered #animals #science #nature #zoos

  12. 🐼 NEW: Three very cute #redpanda #cubs were born at the #Smithsonian’s #FrontRoyal, #Virginia campus over the summer – two on May 29th to #Sequoia and #MowMow and one on June 11th to #Keahi.

    Keepers describe their distinct temperaments in a #species with fewer than 10,000 wild individuals that face #habitat fragmentation across #Nepal, #India, #Bhutan, #Myanmar, and #China.

    👉 popsci.com/environment/red-pan

    #pandas #nationalzoo #conservation #wildlife #bamboo #endangered #animals #science #nature #zoos

  13. 🐼 NEW: Three very cute #redpanda #cubs were born at the #Smithsonian’s #FrontRoyal, #Virginia campus over the summer – two on May 29th to #Sequoia and #MowMow and one on June 11th to #Keahi.

    Keepers describe their distinct temperaments in a #species with fewer than 10,000 wild individuals that face #habitat fragmentation across #Nepal, #India, #Bhutan, #Myanmar, and #China.

    👉 popsci.com/environment/red-pan

    #pandas #nationalzoo #conservation #wildlife #bamboo #endangered #animals #science #nature #zoos

  14. 🐼 NEW: Three very cute #redpanda #cubs were born at the #Smithsonian’s #FrontRoyal, #Virginia campus over the summer – two on May 29th to #Sequoia and #MowMow and one on June 11th to #Keahi.

    Keepers describe their distinct temperaments in a #species with fewer than 10,000 wild individuals that face #habitat fragmentation across #Nepal, #India, #Bhutan, #Myanmar, and #China.

    👉 popsci.com/environment/red-pan

    #pandas #nationalzoo #conservation #wildlife #bamboo #endangered #animals #science #nature #zoos

  15. 🐼 NEW: Three very cute #redpanda #cubs were born at the #Smithsonian’s #FrontRoyal, #Virginia campus over the summer – two on May 29th to #Sequoia and #MowMow and one on June 11th to #Keahi.

    Keepers describe their distinct temperaments in a #species with fewer than 10,000 wild individuals that face #habitat fragmentation across #Nepal, #India, #Bhutan, #Myanmar, and #China.

    👉 popsci.com/environment/red-pan

    #pandas #nationalzoo #conservation #wildlife #bamboo #endangered #animals #science #nature #zoos

  16. 🦜 NEW: #NewZealand’s #kakapo population has reached 325 #birds after a record 90 #chicks survived to independence this season, the largest single-season gain since recovery work began in the #1980s.

    The flightless #parrot, which breeds only when #rimu #trees produce heavy #fruit crops, dropped to only 51 individuals in 1995. Conservationists now face a shortage of #predator-free #island #habitat.

    👉 smithsonianmag.com/smart-news/

    #conservation #endangered #wildlife #nature #breeding #extinction #science #animals #ornithology

  17. 🦜 NEW: #NewZealand’s #kakapo population has reached 325 #birds after a record 90 #chicks survived to independence this season, the largest single-season gain since recovery work began in the #1980s.

    The flightless #parrot, which breeds only when #rimu #trees produce heavy #fruit crops, dropped to only 51 individuals in 1995. Conservationists now face a shortage of #predator-free #island #habitat.

    👉 smithsonianmag.com/smart-news/

    #conservation #endangered #wildlife #nature #breeding #extinction #science #animals #ornithology

  18. 🦜 NEW: #NewZealand’s #kakapo population has reached 325 #birds after a record 90 #chicks survived to independence this season, the largest single-season gain since recovery work began in the #1980s.

    The flightless #parrot, which breeds only when #rimu #trees produce heavy #fruit crops, dropped to only 51 individuals in 1995. Conservationists now face a shortage of #predator-free #island #habitat.

    👉 smithsonianmag.com/smart-news/

    #conservation #endangered #wildlife #nature #breeding #extinction #science #animals #ornithology

  19. 🦜 NEW: #NewZealand’s #kakapo population has reached 325 #birds after a record 90 #chicks survived to independence this season, the largest single-season gain since recovery work began in the #1980s.

    The flightless #parrot, which breeds only when #rimu #trees produce heavy #fruit crops, dropped to only 51 individuals in 1995. Conservationists now face a shortage of #predator-free #island #habitat.

    👉 smithsonianmag.com/smart-news/

    #conservation #endangered #wildlife #nature #breeding #extinction #science #animals #ornithology

  20. 🦜 NEW: #NewZealand’s #kakapo population has reached 325 #birds after a record 90 #chicks survived to independence this season, the largest single-season gain since recovery work began in the #1980s.

    The flightless #parrot, which breeds only when #rimu #trees produce heavy #fruit crops, dropped to only 51 individuals in 1995. Conservationists now face a shortage of #predator-free #island #habitat.

    👉 smithsonianmag.com/smart-news/

    #conservation #endangered #wildlife #nature #breeding #extinction #science #animals #ornithology

  21. Mapping Deforestation Probability And Understanding The Forest Dynamics In Gazipur, Bangladesh
    --
    doi.org/10.1016/j.envc.2026.10 <-- shared paper
    --
    "ABSTRACT: Deforestation is a spiralling environmental catastrophe with impervious results for biodiversity, climate change, and human livelihoods, specifically in tropical regions. Being a tropical country, Bangladesh has experienced approximately 40% loss of its forest cover, at Gazipur since 1930, which contains about 86% of the country's Sal (Shorea robusta) forest, ranging approximately 4,300 hectares per year (2001–2010) to over 19,500 hectares per year (2011–2020), exemplifying an intensification of nearly 353%. The objective of this study is to map deforestation probability at the Gazipur district of Dhaka Division, Bangladesh, by utilising machine learning algorithms along with multi-source geospatial data, with the purpose of identifying high-risk zones and facilitating evidence-based forest governance, land-use development, and prioritizing conservation areas. This study integrated twelve conditioning factors, including biophysical, landscape, and anthropogenic. To identify susceptible zones the study trained and assessed five machine learning algorithms; RF, XGBoost, ANN, NB, and MLP and validating the result through different metrics like sensitivity, specificity, precision, accuracy, F1-score, AUC. The performance of the models was evaluated using Wilcoxon signed-rank tests and marginal response curves (MRC) were used to understand factor contributions. In the result, RF achieved highest performance with accuracy of 84% and AUC of 0.93, followed by XGBoost at 83% accuracy and 0.92 AUC. Rainfall and population density were most dominant conditioning factors among models. Pairwise statistical testing resulted that ensemble-based algorithms (RF, XGBoost) generated statistically comparable and significantly higher predictions compared to NB and MLP. Spatial probability maps indicate areas of high and very high risk in the south-western and north-eastern upazilas. The results can be applicable for forest management authorities, urban planners, and policymakers, and correspond with SDG Indicator 15. An inclusive governance framework containing land zoning, ecological area identification, and compliance with industrial EIA is proposed to persuade probability maps into adaptive forest management strategies…”
    #deforestation #probability #machinelearning #algorithms #AI #Gazipur #Bangladesh #GIS #spatial #mapping #spatialanalysis #spatiotemporal #rainfall #precipitation #humanimpacts #populationpressure #risk #prediction #RandomForest #conservation #restoration #environment #biodiversity, #climatechange #human #livelihood #tropical #forestcover #sal #forest #vegetation #tree #upazila #spatialprobability #geostatistics #forestmanagement #planning #policy #urbanplanners #governance #zoning #ecology #habitat

  22. Mapping Deforestation Probability And Understanding The Forest Dynamics In Gazipur, Bangladesh
    --
    doi.org/10.1016/j.envc.2026.10 <-- shared paper
    --
    "ABSTRACT: Deforestation is a spiralling environmental catastrophe with impervious results for biodiversity, climate change, and human livelihoods, specifically in tropical regions. Being a tropical country, Bangladesh has experienced approximately 40% loss of its forest cover, at Gazipur since 1930, which contains about 86% of the country's Sal (Shorea robusta) forest, ranging approximately 4,300 hectares per year (2001–2010) to over 19,500 hectares per year (2011–2020), exemplifying an intensification of nearly 353%. The objective of this study is to map deforestation probability at the Gazipur district of Dhaka Division, Bangladesh, by utilising machine learning algorithms along with multi-source geospatial data, with the purpose of identifying high-risk zones and facilitating evidence-based forest governance, land-use development, and prioritizing conservation areas. This study integrated twelve conditioning factors, including biophysical, landscape, and anthropogenic. To identify susceptible zones the study trained and assessed five machine learning algorithms; RF, XGBoost, ANN, NB, and MLP and validating the result through different metrics like sensitivity, specificity, precision, accuracy, F1-score, AUC. The performance of the models was evaluated using Wilcoxon signed-rank tests and marginal response curves (MRC) were used to understand factor contributions. In the result, RF achieved highest performance with accuracy of 84% and AUC of 0.93, followed by XGBoost at 83% accuracy and 0.92 AUC. Rainfall and population density were most dominant conditioning factors among models. Pairwise statistical testing resulted that ensemble-based algorithms (RF, XGBoost) generated statistically comparable and significantly higher predictions compared to NB and MLP. Spatial probability maps indicate areas of high and very high risk in the south-western and north-eastern upazilas. The results can be applicable for forest management authorities, urban planners, and policymakers, and correspond with SDG Indicator 15. An inclusive governance framework containing land zoning, ecological area identification, and compliance with industrial EIA is proposed to persuade probability maps into adaptive forest management strategies…”
    #deforestation #probability #machinelearning #algorithms #AI #Gazipur #Bangladesh #GIS #spatial #mapping #spatialanalysis #spatiotemporal #rainfall #precipitation #humanimpacts #populationpressure #risk #prediction #RandomForest #conservation #restoration #environment #biodiversity, #climatechange #human #livelihood #tropical #forestcover #sal #forest #vegetation #tree #upazila #spatialprobability #geostatistics #forestmanagement #planning #policy #urbanplanners #governance #zoning #ecology #habitat

  23. Mapping Deforestation Probability And Understanding The Forest Dynamics In Gazipur, Bangladesh
    --
    doi.org/10.1016/j.envc.2026.10 <-- shared paper
    --
    "ABSTRACT: Deforestation is a spiralling environmental catastrophe with impervious results for biodiversity, climate change, and human livelihoods, specifically in tropical regions. Being a tropical country, Bangladesh has experienced approximately 40% loss of its forest cover, at Gazipur since 1930, which contains about 86% of the country's Sal (Shorea robusta) forest, ranging approximately 4,300 hectares per year (2001–2010) to over 19,500 hectares per year (2011–2020), exemplifying an intensification of nearly 353%. The objective of this study is to map deforestation probability at the Gazipur district of Dhaka Division, Bangladesh, by utilising machine learning algorithms along with multi-source geospatial data, with the purpose of identifying high-risk zones and facilitating evidence-based forest governance, land-use development, and prioritizing conservation areas. This study integrated twelve conditioning factors, including biophysical, landscape, and anthropogenic. To identify susceptible zones the study trained and assessed five machine learning algorithms; RF, XGBoost, ANN, NB, and MLP and validating the result through different metrics like sensitivity, specificity, precision, accuracy, F1-score, AUC. The performance of the models was evaluated using Wilcoxon signed-rank tests and marginal response curves (MRC) were used to understand factor contributions. In the result, RF achieved highest performance with accuracy of 84% and AUC of 0.93, followed by XGBoost at 83% accuracy and 0.92 AUC. Rainfall and population density were most dominant conditioning factors among models. Pairwise statistical testing resulted that ensemble-based algorithms (RF, XGBoost) generated statistically comparable and significantly higher predictions compared to NB and MLP. Spatial probability maps indicate areas of high and very high risk in the south-western and north-eastern upazilas. The results can be applicable for forest management authorities, urban planners, and policymakers, and correspond with SDG Indicator 15. An inclusive governance framework containing land zoning, ecological area identification, and compliance with industrial EIA is proposed to persuade probability maps into adaptive forest management strategies…”
    #deforestation #probability #machinelearning #algorithms #AI #Gazipur #Bangladesh #GIS #spatial #mapping #spatialanalysis #spatiotemporal #rainfall #precipitation #humanimpacts #populationpressure #risk #prediction #RandomForest #conservation #restoration #environment #biodiversity, #climatechange #human #livelihood #tropical #forestcover #sal #forest #vegetation #tree #upazila #spatialprobability #geostatistics #forestmanagement #planning #policy #urbanplanners #governance #zoning #ecology #habitat

  24. Mapping Deforestation Probability And Understanding The Forest Dynamics In Gazipur, Bangladesh
    --
    doi.org/10.1016/j.envc.2026.10 <-- shared paper
    --
    "ABSTRACT: Deforestation is a spiralling environmental catastrophe with impervious results for biodiversity, climate change, and human livelihoods, specifically in tropical regions. Being a tropical country, Bangladesh has experienced approximately 40% loss of its forest cover, at Gazipur since 1930, which contains about 86% of the country's Sal (Shorea robusta) forest, ranging approximately 4,300 hectares per year (2001–2010) to over 19,500 hectares per year (2011–2020), exemplifying an intensification of nearly 353%. The objective of this study is to map deforestation probability at the Gazipur district of Dhaka Division, Bangladesh, by utilising machine learning algorithms along with multi-source geospatial data, with the purpose of identifying high-risk zones and facilitating evidence-based forest governance, land-use development, and prioritizing conservation areas. This study integrated twelve conditioning factors, including biophysical, landscape, and anthropogenic. To identify susceptible zones the study trained and assessed five machine learning algorithms; RF, XGBoost, ANN, NB, and MLP and validating the result through different metrics like sensitivity, specificity, precision, accuracy, F1-score, AUC. The performance of the models was evaluated using Wilcoxon signed-rank tests and marginal response curves (MRC) were used to understand factor contributions. In the result, RF achieved highest performance with accuracy of 84% and AUC of 0.93, followed by XGBoost at 83% accuracy and 0.92 AUC. Rainfall and population density were most dominant conditioning factors among models. Pairwise statistical testing resulted that ensemble-based algorithms (RF, XGBoost) generated statistically comparable and significantly higher predictions compared to NB and MLP. Spatial probability maps indicate areas of high and very high risk in the south-western and north-eastern upazilas. The results can be applicable for forest management authorities, urban planners, and policymakers, and correspond with SDG Indicator 15. An inclusive governance framework containing land zoning, ecological area identification, and compliance with industrial EIA is proposed to persuade probability maps into adaptive forest management strategies…”
    #deforestation #probability #machinelearning #algorithms #AI #Gazipur #Bangladesh #GIS #spatial #mapping #spatialanalysis #spatiotemporal #rainfall #precipitation #humanimpacts #populationpressure #risk #prediction #RandomForest #conservation #restoration #environment #biodiversity, #climatechange #human #livelihood #tropical #forestcover #sal #forest #vegetation #tree #upazila #spatialprobability #geostatistics #forestmanagement #planning #policy #urbanplanners #governance #zoning #ecology #habitat

  25. Mapping Deforestation Probability And Understanding The Forest Dynamics In Gazipur, Bangladesh
    --
    doi.org/10.1016/j.envc.2026.10 <-- shared paper
    --
    "ABSTRACT: Deforestation is a spiralling environmental catastrophe with impervious results for biodiversity, climate change, and human livelihoods, specifically in tropical regions. Being a tropical country, Bangladesh has experienced approximately 40% loss of its forest cover, at Gazipur since 1930, which contains about 86% of the country's Sal (Shorea robusta) forest, ranging approximately 4,300 hectares per year (2001–2010) to over 19,500 hectares per year (2011–2020), exemplifying an intensification of nearly 353%. The objective of this study is to map deforestation probability at the Gazipur district of Dhaka Division, Bangladesh, by utilising machine learning algorithms along with multi-source geospatial data, with the purpose of identifying high-risk zones and facilitating evidence-based forest governance, land-use development, and prioritizing conservation areas. This study integrated twelve conditioning factors, including biophysical, landscape, and anthropogenic. To identify susceptible zones the study trained and assessed five machine learning algorithms; RF, XGBoost, ANN, NB, and MLP and validating the result through different metrics like sensitivity, specificity, precision, accuracy, F1-score, AUC. The performance of the models was evaluated using Wilcoxon signed-rank tests and marginal response curves (MRC) were used to understand factor contributions. In the result, RF achieved highest performance with accuracy of 84% and AUC of 0.93, followed by XGBoost at 83% accuracy and 0.92 AUC. Rainfall and population density were most dominant conditioning factors among models. Pairwise statistical testing resulted that ensemble-based algorithms (RF, XGBoost) generated statistically comparable and significantly higher predictions compared to NB and MLP. Spatial probability maps indicate areas of high and very high risk in the south-western and north-eastern upazilas. The results can be applicable for forest management authorities, urban planners, and policymakers, and correspond with SDG Indicator 15. An inclusive governance framework containing land zoning, ecological area identification, and compliance with industrial EIA is proposed to persuade probability maps into adaptive forest management strategies…”
    ,

  26. Remote Sensing, Real Impact - Technology-Driven Conservation At The Jane Goodall Institute
    (How the Jane Goodall Institute [JGI] is using satellite imagery and spatial technology to help people and animals thrive.)
    --
    geoweeknews.com/news/conservat <-- shared technical article
    --
    iceye.com/blog/government/solu <-- shared technical article
    --
    [this post should not be seen as endorsement of a particular provider and/or approach]
    “Dr. Jane Goodall’s groundbreaking research at Gombe National Park in Tanzania began in 1960, and transformed our understanding of chimpanzees and redefined the relationship between humans and animals. Dr. Goodall dedicated her life to conservation and community empowerment. Her recent passing marks the end of an extraordinary career in ethology and conservation science. Yet her legacy lives on powerfully through the Jane Goodall Institute [JGI] and the countless individuals and communities she inspired worldwide. Her pioneering work revealed that chimpanzees make and use tools, have complex social structures, and possess individual personalities; discoveries that fundamentally challenged our understanding of what it means to be human, for the better…
    The institute's current work embodies Dr. Goodall's profound philosophy: that humanity can only reach its full potential "when our clever brains and our compassionate hearts are connected."
    This principle guides every aspect of JGI's conservation science strategy, from analyzing satellite data to providing local communities with the tools they need to strengthen their environment. Dr. Goodall's vision that conservation must be rooted in compassion, scientific rigor, and respect for local communities continues to shape the institute's innovative approach to using technology for conservation action.
    As time has gone on, geospatial technologies have become increasingly indispensable to this mission, enabling JGI to monitor forest health in real-time, map critical chimpanzee habitats and migration corridors, and measure the tangible impact of community-led conservation initiatives. But perhaps most importantly, these technologies help the communities understand that the lives of people, animals and their shared environment are all interconnected…”
    #ConservationTechnology #illegal #Deforestation #hunting #mining #GombeNationalPark #remotesensing #radar #earthobservation #chimpanzee #conservation #communityempowerment #JaneGoodallInstitute #JGI #satellite #spatialanalysis #spatiotemporal #GIS #spatial #mapping #habitat #destruction #migration #corridors #monitoring #conservationscience #strategy #resource #cloudcover #alerts #foresthealth #protection #SAR #vegetation #ecosystems #rainforest #greatape #disease #foodsecurity #DRC #Tanzania #CongoBasin #nationalpark #ranger #parkranger #security #safety #alerts #wildlifetrafficking
    @JaneGoodallInstitute @iceeye

  27. Remote Sensing, Real Impact - Technology-Driven Conservation At The Jane Goodall Institute
    (How the Jane Goodall Institute [JGI] is using satellite imagery and spatial technology to help people and animals thrive.)
    --
    geoweeknews.com/news/conservat <-- shared technical article
    --
    iceye.com/blog/government/solu <-- shared technical article
    --
    [this post should not be seen as endorsement of a particular provider and/or approach]
    “Dr. Jane Goodall’s groundbreaking research at Gombe National Park in Tanzania began in 1960, and transformed our understanding of chimpanzees and redefined the relationship between humans and animals. Dr. Goodall dedicated her life to conservation and community empowerment. Her recent passing marks the end of an extraordinary career in ethology and conservation science. Yet her legacy lives on powerfully through the Jane Goodall Institute [JGI] and the countless individuals and communities she inspired worldwide. Her pioneering work revealed that chimpanzees make and use tools, have complex social structures, and possess individual personalities; discoveries that fundamentally challenged our understanding of what it means to be human, for the better…
    The institute's current work embodies Dr. Goodall's profound philosophy: that humanity can only reach its full potential "when our clever brains and our compassionate hearts are connected."
    This principle guides every aspect of JGI's conservation science strategy, from analyzing satellite data to providing local communities with the tools they need to strengthen their environment. Dr. Goodall's vision that conservation must be rooted in compassion, scientific rigor, and respect for local communities continues to shape the institute's innovative approach to using technology for conservation action.
    As time has gone on, geospatial technologies have become increasingly indispensable to this mission, enabling JGI to monitor forest health in real-time, map critical chimpanzee habitats and migration corridors, and measure the tangible impact of community-led conservation initiatives. But perhaps most importantly, these technologies help the communities understand that the lives of people, animals and their shared environment are all interconnected…”
    #ConservationTechnology #illegal #Deforestation #hunting #mining #GombeNationalPark #remotesensing #radar #earthobservation #chimpanzee #conservation #communityempowerment #JaneGoodallInstitute #JGI #satellite #spatialanalysis #spatiotemporal #GIS #spatial #mapping #habitat #destruction #migration #corridors #monitoring #conservationscience #strategy #resource #cloudcover #alerts #foresthealth #protection #SAR #vegetation #ecosystems #rainforest #greatape #disease #foodsecurity #DRC #Tanzania #CongoBasin #nationalpark #ranger #parkranger #security #safety #alerts #wildlifetrafficking
    @JaneGoodallInstitute @iceeye

  28. Remote Sensing, Real Impact - Technology-Driven Conservation At The Jane Goodall Institute
    (How the Jane Goodall Institute [JGI] is using satellite imagery and spatial technology to help people and animals thrive.)
    --
    geoweeknews.com/news/conservat <-- shared technical article
    --
    iceye.com/blog/government/solu <-- shared technical article
    --
    [this post should not be seen as endorsement of a particular provider and/or approach]
    “Dr. Jane Goodall’s groundbreaking research at Gombe National Park in Tanzania began in 1960, and transformed our understanding of chimpanzees and redefined the relationship between humans and animals. Dr. Goodall dedicated her life to conservation and community empowerment. Her recent passing marks the end of an extraordinary career in ethology and conservation science. Yet her legacy lives on powerfully through the Jane Goodall Institute [JGI] and the countless individuals and communities she inspired worldwide. Her pioneering work revealed that chimpanzees make and use tools, have complex social structures, and possess individual personalities; discoveries that fundamentally challenged our understanding of what it means to be human, for the better…
    The institute's current work embodies Dr. Goodall's profound philosophy: that humanity can only reach its full potential "when our clever brains and our compassionate hearts are connected."
    This principle guides every aspect of JGI's conservation science strategy, from analyzing satellite data to providing local communities with the tools they need to strengthen their environment. Dr. Goodall's vision that conservation must be rooted in compassion, scientific rigor, and respect for local communities continues to shape the institute's innovative approach to using technology for conservation action.
    As time has gone on, geospatial technologies have become increasingly indispensable to this mission, enabling JGI to monitor forest health in real-time, map critical chimpanzee habitats and migration corridors, and measure the tangible impact of community-led conservation initiatives. But perhaps most importantly, these technologies help the communities understand that the lives of people, animals and their shared environment are all interconnected…”
    #ConservationTechnology #illegal #Deforestation #hunting #mining #GombeNationalPark #remotesensing #radar #earthobservation #chimpanzee #conservation #communityempowerment #JaneGoodallInstitute #JGI #satellite #spatialanalysis #spatiotemporal #GIS #spatial #mapping #habitat #destruction #migration #corridors #monitoring #conservationscience #strategy #resource #cloudcover #alerts #foresthealth #protection #SAR #vegetation #ecosystems #rainforest #greatape #disease #foodsecurity #DRC #Tanzania #CongoBasin #nationalpark #ranger #parkranger #security #safety #alerts #wildlifetrafficking
    @JaneGoodallInstitute @iceeye

  29. Remote Sensing, Real Impact - Technology-Driven Conservation At The Jane Goodall Institute
    (How the Jane Goodall Institute [JGI] is using satellite imagery and spatial technology to help people and animals thrive.)
    --
    geoweeknews.com/news/conservat <-- shared technical article
    --
    iceye.com/blog/government/solu <-- shared technical article
    --
    [this post should not be seen as endorsement of a particular provider and/or approach]
    “Dr. Jane Goodall’s groundbreaking research at Gombe National Park in Tanzania began in 1960, and transformed our understanding of chimpanzees and redefined the relationship between humans and animals. Dr. Goodall dedicated her life to conservation and community empowerment. Her recent passing marks the end of an extraordinary career in ethology and conservation science. Yet her legacy lives on powerfully through the Jane Goodall Institute [JGI] and the countless individuals and communities she inspired worldwide. Her pioneering work revealed that chimpanzees make and use tools, have complex social structures, and possess individual personalities; discoveries that fundamentally challenged our understanding of what it means to be human, for the better…
    The institute's current work embodies Dr. Goodall's profound philosophy: that humanity can only reach its full potential "when our clever brains and our compassionate hearts are connected."
    This principle guides every aspect of JGI's conservation science strategy, from analyzing satellite data to providing local communities with the tools they need to strengthen their environment. Dr. Goodall's vision that conservation must be rooted in compassion, scientific rigor, and respect for local communities continues to shape the institute's innovative approach to using technology for conservation action.
    As time has gone on, geospatial technologies have become increasingly indispensable to this mission, enabling JGI to monitor forest health in real-time, map critical chimpanzee habitats and migration corridors, and measure the tangible impact of community-led conservation initiatives. But perhaps most importantly, these technologies help the communities understand that the lives of people, animals and their shared environment are all interconnected…”
    #ConservationTechnology #illegal #Deforestation #hunting #mining #GombeNationalPark #remotesensing #radar #earthobservation #chimpanzee #conservation #communityempowerment #JaneGoodallInstitute #JGI #satellite #spatialanalysis #spatiotemporal #GIS #spatial #mapping #habitat #destruction #migration #corridors #monitoring #conservationscience #strategy #resource #cloudcover #alerts #foresthealth #protection #SAR #vegetation #ecosystems #rainforest #greatape #disease #foodsecurity #DRC #Tanzania #CongoBasin #nationalpark #ranger #parkranger #security #safety #alerts #wildlifetrafficking
    @JaneGoodallInstitute @iceeye

  30. Remote Sensing, Real Impact - Technology-Driven Conservation At The Jane Goodall Institute
    (How the Jane Goodall Institute [JGI] is using satellite imagery and spatial technology to help people and animals thrive.)
    --
    geoweeknews.com/news/conservat <-- shared technical article
    --
    iceye.com/blog/government/solu <-- shared technical article
    --
    [this post should not be seen as endorsement of a particular provider and/or approach]
    “Dr. Jane Goodall’s groundbreaking research at Gombe National Park in Tanzania began in 1960, and transformed our understanding of chimpanzees and redefined the relationship between humans and animals. Dr. Goodall dedicated her life to conservation and community empowerment. Her recent passing marks the end of an extraordinary career in ethology and conservation science. Yet her legacy lives on powerfully through the Jane Goodall Institute [JGI] and the countless individuals and communities she inspired worldwide. Her pioneering work revealed that chimpanzees make and use tools, have complex social structures, and possess individual personalities; discoveries that fundamentally challenged our understanding of what it means to be human, for the better…
    The institute's current work embodies Dr. Goodall's profound philosophy: that humanity can only reach its full potential "when our clever brains and our compassionate hearts are connected."
    This principle guides every aspect of JGI's conservation science strategy, from analyzing satellite data to providing local communities with the tools they need to strengthen their environment. Dr. Goodall's vision that conservation must be rooted in compassion, scientific rigor, and respect for local communities continues to shape the institute's innovative approach to using technology for conservation action.
    As time has gone on, geospatial technologies have become increasingly indispensable to this mission, enabling JGI to monitor forest health in real-time, map critical chimpanzee habitats and migration corridors, and measure the tangible impact of community-led conservation initiatives. But perhaps most importantly, these technologies help the communities understand that the lives of people, animals and their shared environment are all interconnected…”

    @JaneGoodallInstitute @iceeye

  31. Fight to save #PugetSound #KelpBed underscores NW #habitat challenges

    July 25, 2024

    "The #WashingtonState Department of Natural Resources and the #SquaxinIslandTribe have announced a partnership to conserve the #SquaxinIsland Kelp Bed, the last major kelp bed in South Puget Sound.

    "DNR and the Squaxin Island Tribe will work to surround the kelp bed with a priority habitat zone, try to reduce #environmental stresses to improve the kelp bed’s health, and partner with #PugetSoundRestorationFund on future #restoration projects, according to a news release.

    "Since 2013, DNR and Squaxin Island staff have seen a 97% decline in the kelp bed, which holds both ecological and cultural significance. In #Oregon, the #coastline lost more than two-thirds of its canopy of #BullKelp.

    "'We recognize how important it is to protect this critical resource,' said #KrisPeters, Squaxin Island Tribe chairman, in a statement. '#Squaxins can’t do it alone; it takes us all coming together as partners. That is why this local inter-governmental agreement is so important and monumental.'

    "The Squaxin Island Kelp Bed is the first habitat DNR is prioritizing in its statewide #KelpForest and #Eelgrass Meadow Health and Conservation Plan, which state legislation directed DNR to hatch in response to the loss of bull kelp and eelgrass on the Washington coastline.

    "The plan’s goal is to conserve and restore at least 10,000 acres of kelp forest and eelgrass meadow habitat by 2040.

    "Restoration efforts will initially focus on three pilot sub-basins: South Puget Sound, the Eastern Strait of Juan de Fuca and Grays Harbor. As DNR works toward its 10,000-acre goal, it intends to explore conservation and recovery in all sub-basins, according to DNR’s website.

    "'Squaxin people have been stewarding these waters and lands for thousands of years,' Peters said in a statement. '#KelpBeds have also been stewarding these waters for thousands of years, providing nourishment and a critical ecosystem for the many plants, animals, and fish of the #SalishSea.'"

    oregonlive.com/environment/202

    #Northwest #LandBack
    #NativeKnowledge #Nature #IndigenousKnowledge #conservation #sustainability #decolonization #PacificNorthwest #PNW #environmental
    #IndigenousLedProject
    #reclamation #decolonialism #Restoration #Landback #Rewilding #RestoreNature #Salish #SolarPunkSunday

  32. Fight to save #PugetSound #KelpBed underscores NW #habitat challenges

    July 25, 2024

    "The #WashingtonState Department of Natural Resources and the #SquaxinIslandTribe have announced a partnership to conserve the #SquaxinIsland Kelp Bed, the last major kelp bed in South Puget Sound.

    "DNR and the Squaxin Island Tribe will work to surround the kelp bed with a priority habitat zone, try to reduce #environmental stresses to improve the kelp bed’s health, and partner with #PugetSoundRestorationFund on future #restoration projects, according to a news release.

    "Since 2013, DNR and Squaxin Island staff have seen a 97% decline in the kelp bed, which holds both ecological and cultural significance. In #Oregon, the #coastline lost more than two-thirds of its canopy of #BullKelp.

    "'We recognize how important it is to protect this critical resource,' said #KrisPeters, Squaxin Island Tribe chairman, in a statement. '#Squaxins can’t do it alone; it takes us all coming together as partners. That is why this local inter-governmental agreement is so important and monumental.'

    "The Squaxin Island Kelp Bed is the first habitat DNR is prioritizing in its statewide #KelpForest and #Eelgrass Meadow Health and Conservation Plan, which state legislation directed DNR to hatch in response to the loss of bull kelp and eelgrass on the Washington coastline.

    "The plan’s goal is to conserve and restore at least 10,000 acres of kelp forest and eelgrass meadow habitat by 2040.

    "Restoration efforts will initially focus on three pilot sub-basins: South Puget Sound, the Eastern Strait of Juan de Fuca and Grays Harbor. As DNR works toward its 10,000-acre goal, it intends to explore conservation and recovery in all sub-basins, according to DNR’s website.

    "'Squaxin people have been stewarding these waters and lands for thousands of years,' Peters said in a statement. '#KelpBeds have also been stewarding these waters for thousands of years, providing nourishment and a critical ecosystem for the many plants, animals, and fish of the #SalishSea.'"

    oregonlive.com/environment/202

    #Northwest #LandBack
    #NativeKnowledge #Nature #IndigenousKnowledge #conservation #sustainability #decolonization #PacificNorthwest #PNW #environmental
    #IndigenousLedProject
    #reclamation #decolonialism #Restoration #Landback #Rewilding #RestoreNature #Salish #SolarPunkSunday

  33. Fight to save #PugetSound #KelpBed underscores NW #habitat challenges

    July 25, 2024

    "The #WashingtonState Department of Natural Resources and the #SquaxinIslandTribe have announced a partnership to conserve the #SquaxinIsland Kelp Bed, the last major kelp bed in South Puget Sound.

    "DNR and the Squaxin Island Tribe will work to surround the kelp bed with a priority habitat zone, try to reduce #environmental stresses to improve the kelp bed’s health, and partner with #PugetSoundRestorationFund on future #restoration projects, according to a news release.

    "Since 2013, DNR and Squaxin Island staff have seen a 97% decline in the kelp bed, which holds both ecological and cultural significance. In #Oregon, the #coastline lost more than two-thirds of its canopy of #BullKelp.

    "'We recognize how important it is to protect this critical resource,' said #KrisPeters, Squaxin Island Tribe chairman, in a statement. '#Squaxins can’t do it alone; it takes us all coming together as partners. That is why this local inter-governmental agreement is so important and monumental.'

    "The Squaxin Island Kelp Bed is the first habitat DNR is prioritizing in its statewide #KelpForest and #Eelgrass Meadow Health and Conservation Plan, which state legislation directed DNR to hatch in response to the loss of bull kelp and eelgrass on the Washington coastline.

    "The plan’s goal is to conserve and restore at least 10,000 acres of kelp forest and eelgrass meadow habitat by 2040.

    "Restoration efforts will initially focus on three pilot sub-basins: South Puget Sound, the Eastern Strait of Juan de Fuca and Grays Harbor. As DNR works toward its 10,000-acre goal, it intends to explore conservation and recovery in all sub-basins, according to DNR’s website.

    "'Squaxin people have been stewarding these waters and lands for thousands of years,' Peters said in a statement. '#KelpBeds have also been stewarding these waters for thousands of years, providing nourishment and a critical ecosystem for the many plants, animals, and fish of the #SalishSea.'"

    oregonlive.com/environment/202

    #Northwest #LandBack
    #NativeKnowledge #Nature #IndigenousKnowledge #conservation #sustainability #decolonization #PacificNorthwest #PNW #environmental
    #IndigenousLedProject
    #reclamation #decolonialism #Restoration #Landback #Rewilding #RestoreNature #Salish #SolarPunkSunday

  34. Fight to save #PugetSound #KelpBed underscores NW #habitat challenges

    July 25, 2024

    "The #WashingtonState Department of Natural Resources and the #SquaxinIslandTribe have announced a partnership to conserve the #SquaxinIsland Kelp Bed, the last major kelp bed in South Puget Sound.

    "DNR and the Squaxin Island Tribe will work to surround the kelp bed with a priority habitat zone, try to reduce #environmental stresses to improve the kelp bed’s health, and partner with #PugetSoundRestorationFund on future #restoration projects, according to a news release.

    "Since 2013, DNR and Squaxin Island staff have seen a 97% decline in the kelp bed, which holds both ecological and cultural significance. In #Oregon, the #coastline lost more than two-thirds of its canopy of #BullKelp.

    "'We recognize how important it is to protect this critical resource,' said #KrisPeters, Squaxin Island Tribe chairman, in a statement. '#Squaxins can’t do it alone; it takes us all coming together as partners. That is why this local inter-governmental agreement is so important and monumental.'

    "The Squaxin Island Kelp Bed is the first habitat DNR is prioritizing in its statewide #KelpForest and #Eelgrass Meadow Health and Conservation Plan, which state legislation directed DNR to hatch in response to the loss of bull kelp and eelgrass on the Washington coastline.

    "The plan’s goal is to conserve and restore at least 10,000 acres of kelp forest and eelgrass meadow habitat by 2040.

    "Restoration efforts will initially focus on three pilot sub-basins: South Puget Sound, the Eastern Strait of Juan de Fuca and Grays Harbor. As DNR works toward its 10,000-acre goal, it intends to explore conservation and recovery in all sub-basins, according to DNR’s website.

    "'Squaxin people have been stewarding these waters and lands for thousands of years,' Peters said in a statement. '#KelpBeds have also been stewarding these waters for thousands of years, providing nourishment and a critical ecosystem for the many plants, animals, and fish of the #SalishSea.'"

    oregonlive.com/environment/202

    #Northwest #LandBack
    #NativeKnowledge #Nature #IndigenousKnowledge #conservation #sustainability #decolonization #PacificNorthwest #PNW #environmental
    #IndigenousLedProject
    #reclamation #decolonialism #Restoration #Landback #Rewilding #RestoreNature #Salish #SolarPunkSunday

  35. Fight to save #PugetSound #KelpBed underscores NW #habitat challenges

    July 25, 2024

    "The #WashingtonState Department of Natural Resources and the #SquaxinIslandTribe have announced a partnership to conserve the #SquaxinIsland Kelp Bed, the last major kelp bed in South Puget Sound.

    "DNR and the Squaxin Island Tribe will work to surround the kelp bed with a priority habitat zone, try to reduce #environmental stresses to improve the kelp bed’s health, and partner with #PugetSoundRestorationFund on future #restoration projects, according to a news release.

    "Since 2013, DNR and Squaxin Island staff have seen a 97% decline in the kelp bed, which holds both ecological and cultural significance. In #Oregon, the #coastline lost more than two-thirds of its canopy of #BullKelp.

    "'We recognize how important it is to protect this critical resource,' said #KrisPeters, Squaxin Island Tribe chairman, in a statement. '#Squaxins can’t do it alone; it takes us all coming together as partners. That is why this local inter-governmental agreement is so important and monumental.'

    "The Squaxin Island Kelp Bed is the first habitat DNR is prioritizing in its statewide #KelpForest and #Eelgrass Meadow Health and Conservation Plan, which state legislation directed DNR to hatch in response to the loss of bull kelp and eelgrass on the Washington coastline.

    "The plan’s goal is to conserve and restore at least 10,000 acres of kelp forest and eelgrass meadow habitat by 2040.

    "Restoration efforts will initially focus on three pilot sub-basins: South Puget Sound, the Eastern Strait of Juan de Fuca and Grays Harbor. As DNR works toward its 10,000-acre goal, it intends to explore conservation and recovery in all sub-basins, according to DNR’s website.

    "'Squaxin people have been stewarding these waters and lands for thousands of years,' Peters said in a statement. '#KelpBeds have also been stewarding these waters for thousands of years, providing nourishment and a critical ecosystem for the many plants, animals, and fish of the #SalishSea.'"

    oregonlive.com/environment/202

    #Northwest #LandBack
    #NativeKnowledge #Nature #IndigenousKnowledge #conservation #sustainability #decolonization #PacificNorthwest #PNW #environmental
    #IndigenousLedProject
    #reclamation #decolonialism #Restoration #Landback #Rewilding #RestoreNature #Salish #SolarPunkSunday