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#habitat — Public Fediverse posts

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

  1. Interferometric Synthetic Aperture Radar (InSAR) For Monitoring Seasonal Snow
    --
    doi.org/10.1029/2025WR042866 <-- shared paper
    --
    eos.org/features/satellite-rad <-- shared technical article
    --
    H/T @Jack Tarricone, PhD | Assistant Research Scientist @ NASA GSFC/UMD ESSIC | Remote Sensing and Snow Hydrology
    “[The authors] review[ed] 25 years of progress in using InSAR to measure changes in snow water equivalent (SWE) and snow depth and discuss[ed] what’s needed to extend these methods to basin-scale snow monitoring with NISAR. [They] hope it’s a useful resource for people interested in snow, SAR/InSAR, remote sensing, and hydrology in general…”
    #GIS #spatial #mapping #remotesensing #earthobservation #InterferometricSyntheticApertureRadar #InSAR #literaturereview #research #history #monitoring #spatialanalysis #spatiotemporal #seasonal #snow #water #hydrology #waterresources #snowpack #snowmelt #ablation #melt #runoff #snowwaterequivalent #SWE #NISAR #snowdepth #basin #snowphase #estimation #change #spatial #GIS #mapping #temporal #model #modeling #algorithm #ecosystems #environment #habitat #agriculture #farming #snowmass #satellite

  2. Interferometric Synthetic Aperture Radar (InSAR) For Monitoring Seasonal Snow
    --
    doi.org/10.1029/2025WR042866 <-- shared paper
    --
    eos.org/features/satellite-rad <-- shared technical article
    --
    H/T @Jack Tarricone, PhD | Assistant Research Scientist @ NASA GSFC/UMD ESSIC | Remote Sensing and Snow Hydrology
    “[The authors] review[ed] 25 years of progress in using InSAR to measure changes in snow water equivalent (SWE) and snow depth and discuss[ed] what’s needed to extend these methods to basin-scale snow monitoring with NISAR. [They] hope it’s a useful resource for people interested in snow, SAR/InSAR, remote sensing, and hydrology in general…”
    #GIS #spatial #mapping #remotesensing #earthobservation #InterferometricSyntheticApertureRadar #InSAR #literaturereview #research #history #monitoring #spatialanalysis #spatiotemporal #seasonal #snow #water #hydrology #waterresources #snowpack #snowmelt #ablation #melt #runoff #snowwaterequivalent #SWE #NISAR #snowdepth #basin #snowphase #estimation #change #spatial #GIS #mapping #temporal #model #modeling #algorithm #ecosystems #environment #habitat #agriculture #farming #snowmass #satellite

  3. Interferometric Synthetic Aperture Radar (InSAR) For Monitoring Seasonal Snow
    --
    doi.org/10.1029/2025WR042866 <-- shared paper
    --
    eos.org/features/satellite-rad <-- shared technical article
    --
    H/T @Jack Tarricone, PhD | Assistant Research Scientist @ NASA GSFC/UMD ESSIC | Remote Sensing and Snow Hydrology
    “[The authors] review[ed] 25 years of progress in using InSAR to measure changes in snow water equivalent (SWE) and snow depth and discuss[ed] what’s needed to extend these methods to basin-scale snow monitoring with NISAR. [They] hope it’s a useful resource for people interested in snow, SAR/InSAR, remote sensing, and hydrology in general…”
    #GIS #spatial #mapping #remotesensing #earthobservation #InterferometricSyntheticApertureRadar #InSAR #literaturereview #research #history #monitoring #spatialanalysis #spatiotemporal #seasonal #snow #water #hydrology #waterresources #snowpack #snowmelt #ablation #melt #runoff #snowwaterequivalent #SWE #NISAR #snowdepth #basin #snowphase #estimation #change #spatial #GIS #mapping #temporal #model #modeling #algorithm #ecosystems #environment #habitat #agriculture #farming #snowmass #satellite

  4. Interferometric Synthetic Aperture Radar (InSAR) For Monitoring Seasonal Snow
    --
    doi.org/10.1029/2025WR042866 <-- shared paper
    --
    eos.org/features/satellite-rad <-- shared technical article
    --
    H/T @Jack Tarricone, PhD | Assistant Research Scientist @ NASA GSFC/UMD ESSIC | Remote Sensing and Snow Hydrology
    “[The authors] review[ed] 25 years of progress in using InSAR to measure changes in snow water equivalent (SWE) and snow depth and discuss[ed] what’s needed to extend these methods to basin-scale snow monitoring with NISAR. [They] hope it’s a useful resource for people interested in snow, SAR/InSAR, remote sensing, and hydrology in general…”

  5. Interferometric Synthetic Aperture Radar (InSAR) For Monitoring Seasonal Snow
    --
    doi.org/10.1029/2025WR042866 <-- shared paper
    --
    eos.org/features/satellite-rad <-- shared technical article
    --
    H/T @Jack Tarricone, PhD | Assistant Research Scientist @ NASA GSFC/UMD ESSIC | Remote Sensing and Snow Hydrology
    “[The authors] review[ed] 25 years of progress in using InSAR to measure changes in snow water equivalent (SWE) and snow depth and discuss[ed] what’s needed to extend these methods to basin-scale snow monitoring with NISAR. [They] hope it’s a useful resource for people interested in snow, SAR/InSAR, remote sensing, and hydrology in general…”
    #GIS #spatial #mapping #remotesensing #earthobservation #InterferometricSyntheticApertureRadar #InSAR #literaturereview #research #history #monitoring #spatialanalysis #spatiotemporal #seasonal #snow #water #hydrology #waterresources #snowpack #snowmelt #ablation #melt #runoff #snowwaterequivalent #SWE #NISAR #snowdepth #basin #snowphase #estimation #change #spatial #GIS #mapping #temporal #model #modeling #algorithm #ecosystems #environment #habitat #agriculture #farming #snowmass #satellite

  6. A Coastal Exposure Index For Ireland - Relative Hazard Exposure And The Protective Role Of Coastal Habitats
    --
    doi.org/10.1007/s11069-026-083 <-- shared paper
    --
    alturl.com/4e83i <-- shared webmap / data portal
    --
    independent.ie/irish-news/reve <-- shared media article
    --
    [“The index complements site-specific flood and erosion modelling.”]
    H/T @kevin Walsh | PhD Researcher at University College Cork
    “In this paper [1st link above], [the authors] seek to answer the question “what is the relative distribution of exposure to coastal hazards around the Irish coast, and where can coastal habitats potentially reduce exposure?”
    The method [they] chose to achieve this was the Coastal Vulnerability Model (CVM), within the InVEST software suite. This involves combining the key physical and climatic variables which can show us where along the coast might be most adversely affected by extreme winds, powerful waves and surges, and sea level rise.
    It also reveals the potential protection provided by coastal habitats, such as dunes and saltmarsh, as well as populations and sites of cultural heritage located within zones deemed “Very High Exposure”.
    [They] tested variations to the model, including seeing how the results change when certain variables are left out, what happens if we add in other variables, and how ranking choices impact exposure distribution. The results show that these choices, especially the ranking methods, can have large impacts on hazard distribution and the overall interpretation of the results. However, [they] found that the CVM quintile based approach was most suitable for Ireland, as it reveals high exposure sites on the east coast, which tends to be overlooked when different methods are applied.
    [The H/T] also prepared an interactive map, where you can view the results in detail [2nd link above]
    There’s a lot of work ongoing in this space around Ireland, [they] hope this will be a valuable contribution towards sustainable management of our coastline…”
    #spatialanalysis #exposure #coastal #hazards #mitigation #risk #Ireland #Irish #coast #CoastalVulnerabilityModel #CVM #InVEST #model #modeling #spatiotemporal #geostatistics #statistics #spatial #mapping #geomorphology #geology #climate #wind #wave #tidal #erosion #stormsurge #storms #ocean #sealevelrise #climatechange #extremeweather #dunes #saltmarshes #machair #seagrass #habitat #protection #vulnerability #parametersensitivity #exposure #sustainable #populationpressure #CoastalExposureIndex #culturalheritage #coastalzonemanagement #planning #policy #evidencebased #adaption #strategies

  7. A Coastal Exposure Index For Ireland - Relative Hazard Exposure And The Protective Role Of Coastal Habitats
    --
    doi.org/10.1007/s11069-026-083 <-- shared paper
    --
    alturl.com/4e83i <-- shared webmap / data portal
    --
    independent.ie/irish-news/reve <-- shared media article
    --
    [“The index complements site-specific flood and erosion modelling.”]
    H/T @kevin Walsh | PhD Researcher at University College Cork
    “In this paper [1st link above], [the authors] seek to answer the question “what is the relative distribution of exposure to coastal hazards around the Irish coast, and where can coastal habitats potentially reduce exposure?”
    The method [they] chose to achieve this was the Coastal Vulnerability Model (CVM), within the InVEST software suite. This involves combining the key physical and climatic variables which can show us where along the coast might be most adversely affected by extreme winds, powerful waves and surges, and sea level rise.
    It also reveals the potential protection provided by coastal habitats, such as dunes and saltmarsh, as well as populations and sites of cultural heritage located within zones deemed “Very High Exposure”.
    [They] tested variations to the model, including seeing how the results change when certain variables are left out, what happens if we add in other variables, and how ranking choices impact exposure distribution. The results show that these choices, especially the ranking methods, can have large impacts on hazard distribution and the overall interpretation of the results. However, [they] found that the CVM quintile based approach was most suitable for Ireland, as it reveals high exposure sites on the east coast, which tends to be overlooked when different methods are applied.
    [The H/T] also prepared an interactive map, where you can view the results in detail [2nd link above]
    There’s a lot of work ongoing in this space around Ireland, [they] hope this will be a valuable contribution towards sustainable management of our coastline…”
    #spatialanalysis #exposure #coastal #hazards #mitigation #risk #Ireland #Irish #coast #CoastalVulnerabilityModel #CVM #InVEST #model #modeling #spatiotemporal #geostatistics #statistics #spatial #mapping #geomorphology #geology #climate #wind #wave #tidal #erosion #stormsurge #storms #ocean #sealevelrise #climatechange #extremeweather #dunes #saltmarshes #machair #seagrass #habitat #protection #vulnerability #parametersensitivity #exposure #sustainable #populationpressure #CoastalExposureIndex #culturalheritage #coastalzonemanagement #planning #policy #evidencebased #adaption #strategies

  8. A Coastal Exposure Index For Ireland - Relative Hazard Exposure And The Protective Role Of Coastal Habitats
    --
    doi.org/10.1007/s11069-026-083 <-- shared paper
    --
    alturl.com/4e83i <-- shared webmap / data portal
    --
    independent.ie/irish-news/reve <-- shared media article
    --
    [“The index complements site-specific flood and erosion modelling.”]
    H/T @kevin Walsh | PhD Researcher at University College Cork
    “In this paper [1st link above], [the authors] seek to answer the question “what is the relative distribution of exposure to coastal hazards around the Irish coast, and where can coastal habitats potentially reduce exposure?”
    The method [they] chose to achieve this was the Coastal Vulnerability Model (CVM), within the InVEST software suite. This involves combining the key physical and climatic variables which can show us where along the coast might be most adversely affected by extreme winds, powerful waves and surges, and sea level rise.
    It also reveals the potential protection provided by coastal habitats, such as dunes and saltmarsh, as well as populations and sites of cultural heritage located within zones deemed “Very High Exposure”.
    [They] tested variations to the model, including seeing how the results change when certain variables are left out, what happens if we add in other variables, and how ranking choices impact exposure distribution. The results show that these choices, especially the ranking methods, can have large impacts on hazard distribution and the overall interpretation of the results. However, [they] found that the CVM quintile based approach was most suitable for Ireland, as it reveals high exposure sites on the east coast, which tends to be overlooked when different methods are applied.
    [The H/T] also prepared an interactive map, where you can view the results in detail [2nd link above]
    There’s a lot of work ongoing in this space around Ireland, [they] hope this will be a valuable contribution towards sustainable management of our coastline…”
    #spatialanalysis #exposure #coastal #hazards #mitigation #risk #Ireland #Irish #coast #CoastalVulnerabilityModel #CVM #InVEST #model #modeling #spatiotemporal #geostatistics #statistics #spatial #mapping #geomorphology #geology #climate #wind #wave #tidal #erosion #stormsurge #storms #ocean #sealevelrise #climatechange #extremeweather #dunes #saltmarshes #machair #seagrass #habitat #protection #vulnerability #parametersensitivity #exposure #sustainable #populationpressure #CoastalExposureIndex #culturalheritage #coastalzonemanagement #planning #policy #evidencebased #adaption #strategies

  9. A Coastal Exposure Index For Ireland - Relative Hazard Exposure And The Protective Role Of Coastal Habitats
    --
    doi.org/10.1007/s11069-026-083 <-- shared paper
    --
    alturl.com/4e83i <-- shared webmap / data portal
    --
    independent.ie/irish-news/reve <-- shared media article
    --
    [“The index complements site-specific flood and erosion modelling.”]
    H/T @kevin Walsh | PhD Researcher at University College Cork
    “In this paper [1st link above], [the authors] seek to answer the question “what is the relative distribution of exposure to coastal hazards around the Irish coast, and where can coastal habitats potentially reduce exposure?”
    The method [they] chose to achieve this was the Coastal Vulnerability Model (CVM), within the InVEST software suite. This involves combining the key physical and climatic variables which can show us where along the coast might be most adversely affected by extreme winds, powerful waves and surges, and sea level rise.
    It also reveals the potential protection provided by coastal habitats, such as dunes and saltmarsh, as well as populations and sites of cultural heritage located within zones deemed “Very High Exposure”.
    [They] tested variations to the model, including seeing how the results change when certain variables are left out, what happens if we add in other variables, and how ranking choices impact exposure distribution. The results show that these choices, especially the ranking methods, can have large impacts on hazard distribution and the overall interpretation of the results. However, [they] found that the CVM quintile based approach was most suitable for Ireland, as it reveals high exposure sites on the east coast, which tends to be overlooked when different methods are applied.
    [The H/T] also prepared an interactive map, where you can view the results in detail [2nd link above]
    There’s a lot of work ongoing in this space around Ireland, [they] hope this will be a valuable contribution towards sustainable management of our coastline…”

  10. A Coastal Exposure Index For Ireland - Relative Hazard Exposure And The Protective Role Of Coastal Habitats
    --
    doi.org/10.1007/s11069-026-083 <-- shared paper
    --
    alturl.com/4e83i <-- shared webmap / data portal
    --
    independent.ie/irish-news/reve <-- shared media article
    --
    [“The index complements site-specific flood and erosion modelling.”]
    H/T @kevin Walsh | PhD Researcher at University College Cork
    “In this paper [1st link above], [the authors] seek to answer the question “what is the relative distribution of exposure to coastal hazards around the Irish coast, and where can coastal habitats potentially reduce exposure?”
    The method [they] chose to achieve this was the Coastal Vulnerability Model (CVM), within the InVEST software suite. This involves combining the key physical and climatic variables which can show us where along the coast might be most adversely affected by extreme winds, powerful waves and surges, and sea level rise.
    It also reveals the potential protection provided by coastal habitats, such as dunes and saltmarsh, as well as populations and sites of cultural heritage located within zones deemed “Very High Exposure”.
    [They] tested variations to the model, including seeing how the results change when certain variables are left out, what happens if we add in other variables, and how ranking choices impact exposure distribution. The results show that these choices, especially the ranking methods, can have large impacts on hazard distribution and the overall interpretation of the results. However, [they] found that the CVM quintile based approach was most suitable for Ireland, as it reveals high exposure sites on the east coast, which tends to be overlooked when different methods are applied.
    [The H/T] also prepared an interactive map, where you can view the results in detail [2nd link above]
    There’s a lot of work ongoing in this space around Ireland, [they] hope this will be a valuable contribution towards sustainable management of our coastline…”
    #spatialanalysis #exposure #coastal #hazards #mitigation #risk #Ireland #Irish #coast #CoastalVulnerabilityModel #CVM #InVEST #model #modeling #spatiotemporal #geostatistics #statistics #spatial #mapping #geomorphology #geology #climate #wind #wave #tidal #erosion #stormsurge #storms #ocean #sealevelrise #climatechange #extremeweather #dunes #saltmarshes #machair #seagrass #habitat #protection #vulnerability #parametersensitivity #exposure #sustainable #populationpressure #CoastalExposureIndex #culturalheritage #coastalzonemanagement #planning #policy #evidencebased #adaption #strategies

  11. Coevolution (Habitat 🌄)

    In biology, coevolution occurs when two or more species reciprocally affect each other's evolution through the process of natural selection. The term sometimes is used for two traits in the same species affecting each other's evolution, as well as gene-culture coevolution. Charles Darwin mentioned evolutionary i...

    en.wikipedia.org/wiki/Coevolut

    #Coevolution #Habitat #EcologicalProcesses #EvolutionaryBiology #EvolutionOfTheBiosphere #EnvironmentalTerminology

  12. Coevolution (Habitat 🌄)

    In biology, coevolution occurs when two or more species reciprocally affect each other's evolution through the process of natural selection. The term sometimes is used for two traits in the same species affecting each other's evolution, as well as gene-culture coevolution. Charles Darwin mentioned evolutionary i...

    en.wikipedia.org/wiki/Coevolut

    #Coevolution #Habitat #EcologicalProcesses #EvolutionaryBiology #EvolutionOfTheBiosphere #EnvironmentalTerminology

  13. 🐝 NEW: University of #Melbourne researchers logged more than 5,000 bee-flower interactions to map where five native bee species live across the city and which indigenous #plants feed them.

    Since #nativebees travel only about 100 meters from their nests, connected backyard #gardens can work like a bee highway linking parks and green spaces.

    👉 phys.org/news/2026-09-vital-na

    #pollinators #biodiversity #gardening #wildlife #insects #entomology #bees #plants #nature #science #australia #ecology #habitat #conservation

  14. 🐝 NEW: University of #Melbourne researchers logged more than 5,000 bee-flower interactions to map where five native bee species live across the city and which indigenous #plants feed them.

    Since #nativebees travel only about 100 meters from their nests, connected backyard #gardens can work like a bee highway linking parks and green spaces.

    👉 phys.org/news/2026-09-vital-na

    #pollinators #biodiversity #gardening #wildlife #insects #entomology #bees #plants #nature #science #australia #ecology #habitat #conservation

  15. 🐝 NEW: University of #Melbourne researchers logged more than 5,000 bee-flower interactions to map where five native bee species live across the city and which indigenous #plants feed them.

    Since #nativebees travel only about 100 meters from their nests, connected backyard #gardens can work like a bee highway linking parks and green spaces.

    👉 phys.org/news/2026-09-vital-na

    #pollinators #biodiversity #gardening #wildlife #insects #entomology #bees #plants #nature #science #australia #ecology #habitat #conservation

  16. 🐝 NEW: University of #Melbourne researchers logged more than 5,000 bee-flower interactions to map where five native bee species live across the city and which indigenous #plants feed them.

    Since #nativebees travel only about 100 meters from their nests, connected backyard #gardens can work like a bee highway linking parks and green spaces.

    👉 phys.org/news/2026-09-vital-na

    #pollinators #biodiversity #gardening #wildlife #insects #entomology #bees #plants #nature #science #australia #ecology #habitat #conservation

  17. 🐝 NEW: University of #Melbourne researchers logged more than 5,000 bee-flower interactions to map where five native bee species live across the city and which indigenous #plants feed them.

    Since #nativebees travel only about 100 meters from their nests, connected backyard #gardens can work like a bee highway linking parks and green spaces.

    👉 phys.org/news/2026-09-vital-na

    #pollinators #biodiversity #gardening #wildlife #insects #entomology #bees #plants #nature #science #australia #ecology #habitat #conservation

  18. Aspetto e #habitat: dove e quando incontrarla
    Il piumaggio marrone-rosato interrotto dal pannello blu brillante sulle ali, che spicca anche in volo. La coda e la cresta nere, che solleva nei momenti di allarme o comunicazione. Il richiamo rauco e stridulo, che la segnala spesso prima ancora che sia visibile. Questi elementi, presi insieme, rendono la Ghiandaia inconfondibile anche in avvistamenti brevi. Frequenta boschi di querce e conifere,..Continua a leggere: galassianatura.it/pixeldinatur

  19. Aspetto e #habitat: dove e quando incontrarla
    Il piumaggio marrone-rosato interrotto dal pannello blu brillante sulle ali, che spicca anche in volo. La coda e la cresta nere, che solleva nei momenti di allarme o comunicazione. Il richiamo rauco e stridulo, che la segnala spesso prima ancora che sia visibile. Questi elementi, presi insieme, rendono la Ghiandaia inconfondibile anche in avvistamenti brevi. Frequenta boschi di querce e conifere,..Continua a leggere: galassianatura.it/pixeldinatur

  20. Aspetto e #habitat: dove e quando incontrarla
    Il piumaggio marrone-rosato interrotto dal pannello blu brillante sulle ali, che spicca anche in volo. La coda e la cresta nere, che solleva nei momenti di allarme o comunicazione. Il richiamo rauco e stridulo, che la segnala spesso prima ancora che sia visibile. Questi elementi, presi insieme, rendono la Ghiandaia inconfondibile anche in avvistamenti brevi. Frequenta boschi di querce e conifere,..Continua a leggere: galassianatura.it/pixeldinatur

  21. Aspetto e #habitat: dove e quando incontrarla
    Il piumaggio marrone-rosato interrotto dal pannello blu brillante sulle ali, che spicca anche in volo. La coda e la cresta nere, che solleva nei momenti di allarme o comunicazione. Il richiamo rauco e stridulo, che la segnala spesso prima ancora che sia visibile. Questi elementi, presi insieme, rendono la Ghiandaia inconfondibile anche in avvistamenti brevi. Frequenta boschi di querce e conifere,..Continua a leggere: galassianatura.it/pixeldinatur

  22. 🐶 NEW: Five #bushdog pups born at #England’s #Chester #Zoo recently emerged from their den as part of a European breeding program safeguarding the near-threatened species.

    Keepers note their chirping vocalizations resemble #birdsong. Head of #mammals Mark Brayshaw explains that #climatechange, #habitat loss, and #disease transfer increasingly threaten wild populations, and that by the time a species is #endangered it often faces a genetic bottleneck.

    👉 popsci.com/environment/bush-do

    #chesterzoo #conservation #cute #animals #wildlife #southamerica #puppies #animalbehavior #endangeredspecies #vocalization #nature #science #birds #europe

  23. 🐶 NEW: Five #bushdog pups born at #England’s #Chester #Zoo recently emerged from their den as part of a European breeding program safeguarding the near-threatened species.

    Keepers note their chirping vocalizations resemble #birdsong. Head of #mammals Mark Brayshaw explains that #climatechange, #habitat loss, and #disease transfer increasingly threaten wild populations, and that by the time a species is #endangered it often faces a genetic bottleneck.

    👉 popsci.com/environment/bush-do

    #chesterzoo #conservation #cute #animals #wildlife #southamerica #puppies #animalbehavior #endangeredspecies #vocalization #nature #science #birds #europe

  24. 🐶 NEW: Five #bushdog pups born at #England’s #Chester #Zoo recently emerged from their den as part of a European breeding program safeguarding the near-threatened species.

    Keepers note their chirping vocalizations resemble #birdsong. Head of #mammals Mark Brayshaw explains that #climatechange, #habitat loss, and #disease transfer increasingly threaten wild populations, and that by the time a species is #endangered it often faces a genetic bottleneck.

    👉 popsci.com/environment/bush-do

    #chesterzoo #conservation #cute #animals #wildlife #southamerica #puppies #animalbehavior #endangeredspecies #vocalization #nature #science #birds #europe

  25. 🐶 NEW: Five #bushdog pups born at #England’s #Chester #Zoo recently emerged from their den as part of a European breeding program safeguarding the near-threatened species.

    Keepers note their chirping vocalizations resemble #birdsong. Head of #mammals Mark Brayshaw explains that #climatechange, #habitat loss, and #disease transfer increasingly threaten wild populations, and that by the time a species is #endangered it often faces a genetic bottleneck.

    👉 popsci.com/environment/bush-do

    #chesterzoo #conservation #cute #animals #wildlife #southamerica #puppies #animalbehavior #endangeredspecies #vocalization #nature #science #birds #europe

  26. 🐶 NEW: Five #bushdog pups born at #England’s #Chester #Zoo recently emerged from their den as part of a European breeding program safeguarding the near-threatened species.

    Keepers note their chirping vocalizations resemble #birdsong. Head of #mammals Mark Brayshaw explains that #climatechange, #habitat loss, and #disease transfer increasingly threaten wild populations, and that by the time a species is #endangered it often faces a genetic bottleneck.

    👉 popsci.com/environment/bush-do

    #chesterzoo #conservation #cute #animals #wildlife #southamerica #puppies #animalbehavior #endangeredspecies #vocalization #nature #science #birds #europe

  27. Mapping Flood Agents In The Northern Pantanal Wetland Using Multiple Spatio-Temporal GIS And Remote Sensing Techniques
    --
    doi.org/10.1007/s13157-026-020 <-- shared paper
    --
    H/T @renato Gatto de Morais | Geógrafo | Mestre em Recursos Hídricos | Doutorando em Geografia
    “Combining MODIS data, TRMM, river discharge, a digital terrain model, and multinomial logistic regression, [the authors] identified three predominant classes of flood origin: local rainfall, bank overflow, and mixed areas. The model achieved a Nagelkerke Pseudo-R² of 0.63 and a classification accuracy of up to 81.2% (10-fold cross-validation). To the best of [their] knowledge, this is the first explicit approach to mapping flood agents for this wetland, a component that has historically remained unmapped despite its recognized influence on habitats and biodiversity…”
    --
    “The mapping of functional hydrologic units is crucial for enhancing our understanding of flooding and hydroecological processes in large wetlands. These units are typically defined by flooding frequency, duration, and magnitude, but another important hydrologic characteristic is the origin of flooding, known as the flood agent. This study presents an empirical framework utilizing remote sensing and GIS procedures for modeling flood agents in the northern Pantanal wetland. Eleven spatial data layers were derived from multi-year MODIS flood maps, daily rainfall estimates from the TRMM 3B42 grid, in situ discharge data, the BEST Digital Terrain Model, and a hydrographic network layer. These layers were tested for their predictive power in a multinomial logistic regression mapping model. Model performance metrics, along with qualitative validation of mapping outcomes using in situ flooding measurements, and vegetation and soil data from field test sites, support the plausibility of the proposed mapping scheme. However, they also highlight the challenges of flood agent mapping in large tropical wetlands…”
    #GIS #spatial #mapping #MODIS #TRMM #riverdischarge #digitalterrainmodel #multinomiallogisticregression #geostatistics #Pantanal #Cuiaba #Brazil #water #hydrology #spatialanalysis #spatiotemporal #remotesensing #earthobservation #flood #flooding #source #type #floodagent #tropical #wetland #habitat #biodiversity #ecosystem #hydrologicunit #hydroecology #model #modeling #rainfall #precipitation #weather #climate #discharge #network #metrics

  28. 💁🏻‍♀️ TIL: 🐕🌍 Conservationists are moving African wild #dogs between reserves to build genetically diverse packs.

    The story follows three sisters flown from #Mozambique to #SouthAfrica, held in a boma, then released and tracked. The program has added over 340 dogs since 1997, but #habitat loss and human conflict still leave every pack fragile.

    👉 smithsonianmag.com/science-nat

    #wilddogs #conservation #endangeredspecies #endangered #africa #wildlife #animals #nature #rewilding #biodiversity #ecology #predators #genetics #canines

  29. Modeling Climate Change Impacts On Blue And Green Water In The Ethiopian Upper Blue Nile Basin
    --
    doi.org/10.1016/j.ejrh.2026.10 <-- shared paper
    --
    H/T @Dessalegn worku Ayalew
    “The present study assesses the impacts of climate change on blue and green water in the Kessie Watershed of the Ethiopian Upper Blue Nile Basin using the SWAT+ model.
    [The authors] set up [a] SWAT+ model using quality-controlled and homogenized observational climate time series… and calibrated it using a multisite calibration approach. [They] selected CMIP6 climate models for future simulations and bias-correction methods through a comprehensive performance assessment... Building on these previous studies, the present research further evaluates the reliability of combining robust climate-model selection with optimal bias-correction methods to improve the reliability of hydrological simulations. [They] then used the best-performing climate models, bias-corrected using the optimal methods, to project future changes in blue and green water in the study area…
    KEY FINDINGS:
    • SWAT+ effectively represented hydrological processes across multiple gauging stations in the Ethiopian Upper Blue Nile Basin.
    • Ensembles of CMIP6 climate models improved the reliability of hydrological simulations compared with individual climate models.
    • Optimized climate-model selection reduced biases in hydrological simulations more than bias correction alone.
    • Arbitrary selection of climate models can degrade hydrological simulations, even when their outputs are bias-corrected using robust methods.
    • Both blue and green water are projected to increase under future climate change in the Ethiopian Upper Blue Nile Basin.
    • Blue water exhibits greater seasonality and climate sensitivity than green water flow and green water storage.
    The study also provides sustainable water management options for adapting to the impacts of climate change, with implications for water resource planning and management in the Upper Blue Nile Basin…”
    #Bluewater #Greenwater #CMIP6 #GCMs #Modelensemble #SSPscenarios #SWAT #Ethopia #UpperNile #Nile #NileBasin #gaging #gauging #Africa #climatechange #impacts #water #hydrology #KessieWatershed #EthiopianUpperBlueNileBasin #model #modeling #spatialanalysis #spatiotemporal #CMIP6 #waterresources #watermanagement #ecosystem #habitat #environment

  30. 💁🏻‍♀️ TIL: 🦦🗽 A camera captured the first river otter sighting in the #Bronx River in over a century.

    Once treated as a city dumping ground, the #waterway lost #otters and #beavers to #pollution and #habitat loss. Decades of cleanup restored #oysters and beavers, now joined by this otter signaling active #ecosystem recovery.

    👉 theguardian.com/us-news/2026/a

    #riverotter #bronxriver #conservation #wildlife #animals #water #restoration #newyork #nyc #urban #cleanwateract #nature #environment

  31. 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

  32. Mapping Multifunctionality In Remote Patagonian Forest Landscapes Reveals High-Value Ecosystems Beyond Protected Areas
    --
    doi.org/10.1038/s43247-026-035 <-- shared paper
    --
    H/T @Peter Potapov | Researcher at the World Resources Institute (WRI)
    “This paper is] a strong example of multifunctionality analysis applied to conservation planning. The study mapped six ecosystem functions, including carbon storage, nutrient availability, water regulation, erosion control, habitat quality, and ecological connectivity. [The author] combined satellite data, field soil sampling, and spatial modeling for this comprehensive analysis.
    Two findings stand out.
    1. Old-growth forests had the highest multifunctionality index of any land cover type.
    2. 78.5% of the top multifunctionality hotspots fall outside the region's protected areas, even though PAs already cover more than 54% of the territory.
    Together, these results make a clear case for expanding conservation of the remaining Intact Forest Landscapes and primary forests in Patagonia and elsewhere…”
    --
    “Remote forest landscapes provide critical references for understanding ecosystem functions (EFs) under low anthropogenic pressure, yet their capacity to sustain multiple EFs simultaneously remains poorly understood. [They] assessed landscape multifunctionality in western Patagonia by integrating satellite indicators, field data, and spatial modeling. Six EFs (carbon storage, nutrient availability, water regulation, erosion control, habitat quality, and ecological connectivity) were mapped, and their spatial relationships and hotspot distribution within and outside protected areas (PAs) were analyzed. Old-growth and secondary forests showed the highest functional performance. Strong synergies (ρ ≥ 0.6) between carbon storage and nutrient availability covered >50% of the landscape, whereas strong trade-offs (ρ ≤ –0.6) were spatially limited ( < 6%). Notably, 78% of multifunctionality hotspots occurred outside PAs, indicating that high-functional-value areas extend beyond formal conservation boundaries. These findings reveal spatial mismatches between multifunctionality and protection status and provide a replicable framework for integrating multifunctionality into conservation planning under global change…”
    #Patagonia #chile #aysen #coyhaique #landcover #mapping #spatial #spatialpatterns #spatiotemporal #spatialanalysis #forest #vegetation #oldgrowth #secondgrowth #shrubland #grassland #steppe #ecosystem #habitat #nutrients #water #hydrology #erosion #multifunctionality #multifunctionalityanalysis #protectedareas #landuse #conservationplanning #conservation #ecology #carbonstorage #nutrientavailability #waterregulation #erosioncontrol #habitatquality #ecologicalconnectivity #remotesensing #satellite #earthobservation #modeling

  33. Reconnecting the Wild #Midwest

    Explore how #TNC is rebuilding connections between habitats to help #MidwestWildlife—and people—thrive in a changing climate

    Published March 02, 2026

    "Wildlife needs room to roam, and the Midwest is full of amazing habitats—such as forests, prairies, wetlands and rivers—that aren’t connected, leaving wildlife stuck and struggling. That's why TNC is linking forests, prairies, wetlands and rivers across the Midwest so wildlife can move, adapt and thrive.

    "What Is a Wildlife Corridor? Why Are They Important?

    "#Habitat Crridors can be interconnected land-based environments, such as #forests and #prairies, as well as #rivers and other freshwater passages that allow aquatic species to move freely. These healthy, #biodiverse areas are beneficial for people too, as they can help reduce flood risk to communities and provide more recreational opportunities in nature.

    "However, the Midwest region is highly fragmented. #Habitats are subdivided across different landowners, and many are highly degraded.

    "To address this, TNC serves as our own type of corridor, coordinating protection and #stewardship efforts across properties owned by many different partners. Through these collaborations, we help secure funding to connect science with #conservation on the ground and in the water.

    "Our work includes large-scale #HabitatRestoration projects that create and improve pathways, like our #CoastalRepair efforts in #SanduskyBay, #DamRemoval efforts in Southern #Indiana and our prescribed fire work in Southern #Illinois."

    Learn more:
    nature.org/en-us/about-us/wher

    #SolarPunkSunday #ConnectedHabitats
    #Wildlife #WildlifeHighways #WildlifeCorridors #MidwesternUS #TheNatureConservancy #Biodiversity #WildlifeConservation

  34. #SCOTUS upheld this interpretation in 1995, ruling against property owners who argued that #harm should only mean directly killing or injuring an #endangered #animal.

    But on Friday, the #Trump #Interior Dept & the #Commerce Dept announced a final rule that rescinded this longstanding interpretation. Under the rule, destroying an #EndangeredSpecies’ nest or #habitat would no longer be considered illegal.

    #law #EnvironmentalLaw #regulations #wildlife #habitats #ecosystems #ClimateChange

  35. Blogue présentant des gestes écocitoyens et des technologies vertes, dans le domaine du logement, du jardinage, du transport et de l'énergie, du textile et de la mode, l'agriculture et l'alimentation, la santé et du bien-être, la finance responsable, ainsi que des références de livres

    Plus :revolutionverte.fr

    #routier #ferroutage #autoroute #transport #train #avion #aéronautique #bateau #tourisme #tech #technologie #logement #habitat #habitation #micromaison #énergie #pétrole #gaz #biogaz