#forestdisturbance — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #forestdisturbance, aggregated by home.social.
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Drivers Of Forest Disturbance In Southeast Asia [incl. spatial analysis]
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https://doi.org/10.1016/j.jag.2026.105220 <-- shared paper 🔗
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https://github.com/shijuanchen/SEA_forest_dis <-- shared GitHub ‘data repository 🔗
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#GIS #spatial #mapping #spatialanalysis #spatiotemporal #forest #vegetation #Forestdisturbance #Forestdegradation #Deforestation #remotesensing #SoutheastAsia #Asia #tropicalforests #timeseriesanalysis #geostatistics #disturbance #clearing #planting #agriculture #earthobservation #imagery #CCDC #changedetection #landcover #landuse #change #plantation #cultivation #slashandburn #planning #mitigation #catalogue #conservation #management #landmanagement #machinelearning #imageanalysis #AI -
Drivers Of Forest Disturbance In Southeast Asia [incl. spatial analysis]
--
https://doi.org/10.1016/j.jag.2026.105220 <-- shared paper 🔗
--
https://github.com/shijuanchen/SEA_forest_dis <-- shared GitHub ‘data repository 🔗
--
#GIS #spatial #mapping #spatialanalysis #spatiotemporal #forest #vegetation #Forestdisturbance #Forestdegradation #Deforestation #remotesensing #SoutheastAsia #Asia #tropicalforests #timeseriesanalysis #geostatistics #disturbance #clearing #planting #agriculture #earthobservation #imagery #CCDC #changedetection #landcover #landuse #change #plantation #cultivation #slashandburn #planning #mitigation #catalogue #conservation #management #landmanagement #machinelearning #imageanalysis #AI -
Drivers Of Forest Disturbance In Southeast Asia [incl. spatial analysis]
--
https://doi.org/10.1016/j.jag.2026.105220 <-- shared paper 🔗
--
https://github.com/shijuanchen/SEA_forest_dis <-- shared GitHub ‘data repository 🔗
--
#GIS #spatial #mapping #spatialanalysis #spatiotemporal #forest #vegetation #Forestdisturbance #Forestdegradation #Deforestation #remotesensing #SoutheastAsia #Asia #tropicalforests #timeseriesanalysis #geostatistics #disturbance #clearing #planting #agriculture #earthobservation #imagery #CCDC #changedetection #landcover #landuse #change #plantation #cultivation #slashandburn #planning #mitigation #catalogue #conservation #management #landmanagement #machinelearning #imageanalysis #AI -
Drivers Of Forest Disturbance In Southeast Asia [incl. spatial analysis]
--
https://doi.org/10.1016/j.jag.2026.105220 <-- shared paper 🔗
--
https://github.com/shijuanchen/SEA_forest_dis <-- shared GitHub ‘data repository 🔗
--
#GIS #spatial #mapping #spatialanalysis #spatiotemporal #forest #vegetation #Forestdisturbance #Forestdegradation #Deforestation #remotesensing #SoutheastAsia #Asia #tropicalforests #timeseriesanalysis #geostatistics #disturbance #clearing #planting #agriculture #earthobservation #imagery #CCDC #changedetection #landcover #landuse #change #plantation #cultivation #slashandburn #planning #mitigation #catalogue #conservation #management #landmanagement #machinelearning #imageanalysis #AI -
Drivers Of Forest Disturbance In Southeast Asia [incl. spatial analysis]
--
https://doi.org/10.1016/j.jag.2026.105220 <-- shared paper 🔗
--
https://github.com/shijuanchen/SEA_forest_dis <-- shared GitHub ‘data repository 🔗
--
#GIS #spatial #mapping #spatialanalysis #spatiotemporal #forest #vegetation #Forestdisturbance #Forestdegradation #Deforestation #remotesensing #SoutheastAsia #Asia #tropicalforests #timeseriesanalysis #geostatistics #disturbance #clearing #planting #agriculture #earthobservation #imagery #CCDC #changedetection #landcover #landuse #change #plantation #cultivation #slashandburn #planning #mitigation #catalogue #conservation #management #landmanagement #machinelearning #imageanalysis #AI -
@DavidSD yes. Very interesting paper : #droughtstress and #barkbeetles caused in 2018-2020 a strong tree mortality and thus a widespread #ForestDisturbance across Central Europe. The authors observed post-disturbance regeneration in nearly 900 plots across 10 countries : the good news: recovery was robust. The bad news : 75% of the regenerating seedlings are projected to be **outside of their climatic niche** by the end of the century under even moderate #climatechange (RCP4.5)
This suggests to me that "leaving forests alone" is not the best way to adapt them to #ClimateChange. There is just not sufficient local #Biodiversity -
@DavidSD yes. Very interesting paper : #droughtstress and #barkbeetles caused in 2018-2020 a strong tree mortality and thus a widespread #ForestDisturbance across Central Europe. The authors observed post-disturbance regeneration in nearly 900 plots across 10 countries : the good news: recovery was robust. The bad news : 75% of the regenerating seedlings are projected to be **outside of their climatic niche** by the end of the century under even moderate #climatechange (RCP4.5)
This suggests to me that "leaving forests alone" is not the best way to adapt them to #ClimateChange. There is just not sufficient local #Biodiversity -
@DavidSD yes. Very interesting paper : #droughtstress and #barkbeetles caused in 2018-2020 a strong tree mortality and thus a widespread #ForestDisturbance across Central Europe. The authors observed post-disturbance regeneration in nearly 900 plots across 10 countries : the good news: recovery was robust. The bad news : 75% of the regenerating seedlings are projected to be **outside of their climatic niche** by the end of the century under even moderate #climatechange (RCP4.5)
This suggests to me that "leaving forests alone" is not the best way to adapt them to #ClimateChange. There is just not sufficient local #Biodiversity -
@DavidSD yes. Very interesting paper : #droughtstress and #barkbeetles caused in 2018-2020 a strong tree mortality and thus a widespread #ForestDisturbance across Central Europe. The authors observed post-disturbance regeneration in nearly 900 plots across 10 countries : the good news: recovery was robust. The bad news : 75% of the regenerating seedlings are projected to be **outside of their climatic niche** by the end of the century under even moderate #climatechange (RCP4.5)
This suggests to me that "leaving forests alone" is not the best way to adapt them to #ClimateChange. There is just not sufficient local #Biodiversity -
@DavidSD yes. Very interesting paper : #droughtstress and #barkbeetles caused in 2018-2020 a strong tree mortality and thus a widespread #ForestDisturbance across Central Europe. The authors observed post-disturbance regeneration in nearly 900 plots across 10 countries : the good news: recovery was robust. The bad news : 75% of the regenerating seedlings are projected to be **outside of their climatic niche** by the end of the century under even moderate #climatechange (RCP4.5)
This suggests to me that "leaving forests alone" is not the best way to adapt them to #ClimateChange. There is just not sufficient local #Biodiversity -
Just came out : #droughtstress and #barkbeetles caused in 2018-2020 a strong tree mortality and thus a widespread #ForestDisturbance across Central Europe. The authors observed post-disturbance regeneration in nearly 900 plots across 10 countries : the good news: recovery was robust. The bad news : 75% of the regenerating seedlings are projected to be **outside of their climatic niche** by the end of the century under even moderate #climatechange (RCP4.5)
This suggests to me that "leaving forests alone" is not the best way to adapt them to #ClimateChange. There is just not sufficient local #Biodiversity
https://doi.org/10.1111/gcb.70734
#Forests
#AcademicChatter
#PlantScience
#UMRSilva because some colleagues participated :-) -
Just came out : #droughtstress and #barkbeetles caused in 2018-2020 a strong tree mortality and thus a widespread #ForestDisturbance across Central Europe. The authors observed post-disturbance regeneration in nearly 900 plots across 10 countries : the good news: recovery was robust. The bad news : 75% of the regenerating seedlings are projected to be **outside of their climatic niche** by the end of the century under even moderate #climatechange (RCP4.5)
This suggests to me that "leaving forests alone" is not the best way to adapt them to #ClimateChange. There is just not sufficient local #Biodiversity
https://doi.org/10.1111/gcb.70734
#Forests
#AcademicChatter
#PlantScience
#UMRSilva because some colleagues participated :-) -
Just came out : #droughtstress and #barkbeetles caused in 2018-2020 a strong tree mortality and thus a widespread #ForestDisturbance across Central Europe. The authors observed post-disturbance regeneration in nearly 900 plots across 10 countries : the good news: recovery was robust. The bad news : 75% of the regenerating seedlings are projected to be **outside of their climatic niche** by the end of the century under even moderate #climatechange (RCP4.5)
This suggests to me that "leaving forests alone" is not the best way to adapt them to #ClimateChange. There is just not sufficient local #Biodiversity
https://doi.org/10.1111/gcb.70734
#Forests
#AcademicChatter
#PlantScience
#UMRSilva because some colleagues participated :-) -
Just came out : #droughtstress and #barkbeetles caused in 2018-2020 a strong tree mortality and thus a widespread #ForestDisturbance across Central Europe. The authors observed post-disturbance regeneration in nearly 900 plots across 10 countries : the good news: recovery was robust. The bad news : 75% of the regenerating seedlings are projected to be **outside of their climatic niche** by the end of the century under even moderate #climatechange (RCP4.5)
This suggests to me that "leaving forests alone" is not the best way to adapt them to #ClimateChange. There is just not sufficient local #Biodiversity
https://doi.org/10.1111/gcb.70734
#Forests
#AcademicChatter
#PlantScience
#UMRSilva because some colleagues participated :-) -
Just came out : #droughtstress and #barkbeetles caused in 2018-2020 a strong tree mortality and thus a widespread #ForestDisturbance across Central Europe. The authors observed post-disturbance regeneration in nearly 900 plots across 10 countries : the good news: recovery was robust. The bad news : 75% of the regenerating seedlings are projected to be **outside of their climatic niche** by the end of the century under even moderate #climatechange (RCP4.5)
This suggests to me that "leaving forests alone" is not the best way to adapt them to #ClimateChange. There is just not sufficient local #Biodiversity
https://doi.org/10.1111/gcb.70734
#Forests
#AcademicChatter
#PlantScience
#UMRSilva because some colleagues participated :-) -
Improving Forest Loss Mapping In Nepal Using Landtrendr Time-Series And Machine Learning
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https://doi.org/10.1016/j.rsase.2025.101864 <-- share paper
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“HIGHLIGHTS:
• ViT-based forest mask, multispectral ensemble LandTrendr and terrain shadow mask.
• District-level RF/XGBoost model training with expert-weighted validation.
• Outperformed GFC and REDD + AI benchmarks in accuracy and F1 performance.
• RF excelled in High Mountains/Himalayas; XGBoost in the lower Mountain regions.
• NBR contributed the most; snow-impacted forest loss uncertainty was observed..."
#Forestdisturbance #forest #disturbance #remotesensing #LandTrendr #workflow #timeseries #ViT #RF #XGBoost #GEE #Nepal #ForestNepal #spatial #GIS #mapping #earthobservation #landsat #Himalayas #mountains #alpine #vegetation #AI #multispectral #monitoring #spatialanalysis #spatiotemporal #loss #change #machinelearning #NDR #conservation #planning #policy #mitagion #ecology #Karnali #Bagmati, #Darchula #Siwalik #GlobalForestChange #Degradation -
Improving Forest Loss Mapping In Nepal Using Landtrendr Time-Series And Machine Learning
--
https://doi.org/10.1016/j.rsase.2025.101864 <-- share paper
--
“HIGHLIGHTS:
• ViT-based forest mask, multispectral ensemble LandTrendr and terrain shadow mask.
• District-level RF/XGBoost model training with expert-weighted validation.
• Outperformed GFC and REDD + AI benchmarks in accuracy and F1 performance.
• RF excelled in High Mountains/Himalayas; XGBoost in the lower Mountain regions.
• NBR contributed the most; snow-impacted forest loss uncertainty was observed..."
#Forestdisturbance #forest #disturbance #remotesensing #LandTrendr #workflow #timeseries #ViT #RF #XGBoost #GEE #Nepal #ForestNepal #spatial #GIS #mapping #earthobservation #landsat #Himalayas #mountains #alpine #vegetation #AI #multispectral #monitoring #spatialanalysis #spatiotemporal #loss #change #machinelearning #NDR #conservation #planning #policy #mitagion #ecology #Karnali #Bagmati, #Darchula #Siwalik #GlobalForestChange #Degradation -
Improving Forest Loss Mapping In Nepal Using Landtrendr Time-Series And Machine Learning
--
https://doi.org/10.1016/j.rsase.2025.101864 <-- share paper
--
“HIGHLIGHTS:
• ViT-based forest mask, multispectral ensemble LandTrendr and terrain shadow mask.
• District-level RF/XGBoost model training with expert-weighted validation.
• Outperformed GFC and REDD + AI benchmarks in accuracy and F1 performance.
• RF excelled in High Mountains/Himalayas; XGBoost in the lower Mountain regions.
• NBR contributed the most; snow-impacted forest loss uncertainty was observed..."
#Forestdisturbance #forest #disturbance #remotesensing #LandTrendr #workflow #timeseries #ViT #RF #XGBoost #GEE #Nepal #ForestNepal #spatial #GIS #mapping #earthobservation #landsat #Himalayas #mountains #alpine #vegetation #AI #multispectral #monitoring #spatialanalysis #spatiotemporal #loss #change #machinelearning #NDR #conservation #planning #policy #mitagion #ecology #Karnali #Bagmati, #Darchula #Siwalik #GlobalForestChange #Degradation -
Improving Forest Loss Mapping In Nepal Using Landtrendr Time-Series And Machine Learning
--
https://doi.org/10.1016/j.rsase.2025.101864 <-- share paper
--
“HIGHLIGHTS:
• ViT-based forest mask, multispectral ensemble LandTrendr and terrain shadow mask.
• District-level RF/XGBoost model training with expert-weighted validation.
• Outperformed GFC and REDD + AI benchmarks in accuracy and F1 performance.
• RF excelled in High Mountains/Himalayas; XGBoost in the lower Mountain regions.
• NBR contributed the most; snow-impacted forest loss uncertainty was observed..."
#Forestdisturbance #forest #disturbance #remotesensing #LandTrendr #workflow #timeseries #ViT #RF #XGBoost #GEE #Nepal #ForestNepal #spatial #GIS #mapping #earthobservation #landsat #Himalayas #mountains #alpine #vegetation #AI #multispectral #monitoring #spatialanalysis #spatiotemporal #loss #change #machinelearning #NDR #conservation #planning #policy #mitagion #ecology #Karnali #Bagmati, #Darchula #Siwalik #GlobalForestChange #Degradation -
Improving Forest Loss Mapping In Nepal Using Landtrendr Time-Series And Machine Learning
--
https://doi.org/10.1016/j.rsase.2025.101864 <-- share paper
--
“HIGHLIGHTS:
• ViT-based forest mask, multispectral ensemble LandTrendr and terrain shadow mask.
• District-level RF/XGBoost model training with expert-weighted validation.
• Outperformed GFC and REDD + AI benchmarks in accuracy and F1 performance.
• RF excelled in High Mountains/Himalayas; XGBoost in the lower Mountain regions.
• NBR contributed the most; snow-impacted forest loss uncertainty was observed..."
#Forestdisturbance #forest #disturbance #remotesensing #LandTrendr #workflow #timeseries #ViT #RF #XGBoost #GEE #Nepal #ForestNepal #spatial #GIS #mapping #earthobservation #landsat #Himalayas #mountains #alpine #vegetation #AI #multispectral #monitoring #spatialanalysis #spatiotemporal #loss #change #machinelearning #NDR #conservation #planning #policy #mitagion #ecology #Karnali #Bagmati, #Darchula #Siwalik #GlobalForestChange #Degradation -
From Filipe França on the bird site:
🚨Black heritage #PhD studentship, please boost🚨
How do forest disturbances affect tropical insect food webs?
🌴🌳🪲🐝🌳🌴👩🏾🔬🧑🏿🔬🧑🏾🎓👩🏿🎓
Check http://bit.ly/3QkdvLuAs an effort to tackle the under-representation of black people in PG research & #academia, Bristol Uni launched PGR #research scholarships open exclusively to UK-domiciled black or black-mixed PhD applicants.
Orig. tweet here: https://twitter.com/FilipeEco/status/1713959617607119128