#livelihood — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #livelihood, aggregated by home.social.
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Mapping Deforestation Probability And Understanding The Forest Dynamics In Gazipur, Bangladesh
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https://doi.org/10.1016/j.envc.2026.101568 <-- shared paper
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"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 -
Mapping Deforestation Probability And Understanding The Forest Dynamics In Gazipur, Bangladesh
--
https://doi.org/10.1016/j.envc.2026.101568 <-- 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 -
Mapping Deforestation Probability And Understanding The Forest Dynamics In Gazipur, Bangladesh
--
https://doi.org/10.1016/j.envc.2026.101568 <-- 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 -
Mapping Deforestation Probability And Understanding The Forest Dynamics In Gazipur, Bangladesh
--
https://doi.org/10.1016/j.envc.2026.101568 <-- 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 -
Mapping Deforestation Probability And Understanding The Forest Dynamics In Gazipur, Bangladesh
--
https://doi.org/10.1016/j.envc.2026.101568 <-- 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 -
https://www.alojapan.com/1509786/japan-backs-aquaculture-livelihood-projects-during-lanao-del-sur-visit/ Japan backs aquaculture, livelihood projects during Lanao del Sur visit #agriculture #Aquaculture #Bangsamoro #BARMM #EmbassyOfJapan #FAO #Fisheries #FoodSecurity #HalalAquaculture #Japan #LanaoDelSur #Livelihood #MamintalAdiongJr #MarawiCityJail #PersonsDeprivedOfLiberty #PoonaBayabao #SustainableDevelopment #VisitJapan #YokotaNaobumi Japanese Minister for Economic Affairs YOKOTA Naobumi visited Lanao del Sur on July 7 to reaffirm Japan’s su
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https://www.alojapan.com/1509786/japan-backs-aquaculture-livelihood-projects-during-lanao-del-sur-visit/ Japan backs aquaculture, livelihood projects during Lanao del Sur visit #agriculture #Aquaculture #Bangsamoro #BARMM #EmbassyOfJapan #FAO #Fisheries #FoodSecurity #HalalAquaculture #Japan #LanaoDelSur #Livelihood #MamintalAdiongJr #MarawiCityJail #PersonsDeprivedOfLiberty #PoonaBayabao #SustainableDevelopment #VisitJapan #YokotaNaobumi Japanese Minister for Economic Affairs YOKOTA Naobumi visited Lanao del Sur on July 7 to reaffirm Japan’s su
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Food Tank’s Weekly News Roundup: Extreme Heat Hits Europe, Regenerative Agriculture Grows, and SNAP Enrollment Falls – Food Tank
Each week, Food Tank is rounding up a few news stories that inspire excitement, infuriation, or curiosity. Europe…
#Europe #EU #climatechange #extremeheat #foodaccess #heatwaves #hunger #Investment #Jobs #Livelihood #MENAAP #RegenerativeAgriculture #Snap
https://www.europesays.com/europe/86708/ -
PCUP eyes urban, backyard gardening as food and livelihood alternative https://www.allforgardening.com/1843276/pcup-eyes-urban-backyard-gardening-as-food-and-livelihood-alternative/ #alternative #and #as #backyard #eyes; #food #garden #gardening #livelihood #PCUP #urban
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PCUP eyes urban, backyard gardening as food and livelihood alternative https://www.allforgardening.com/1843276/pcup-eyes-urban-backyard-gardening-as-food-and-livelihood-alternative/ #alternative #and #as #backyard #eyes; #food #garden #gardening #livelihood #PCUP #urban
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#Livelihood in the #wetlands of #Bangladesh was always fragile; #climate emergencies have made things impossible for residents. Md Shahidul Alam (Uni of Dhaka) argues for greater state coordination & action in the #Haor wetlands.
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#Livelihood in the #wetlands of #Bangladesh was always fragile; #climate emergencies have made things impossible for residents. Md Shahidul Alam (Uni of Dhaka) argues for greater state coordination & action in the #Haor wetlands.
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#Livelihood in the #wetlands of #Bangladesh was always fragile; #climate emergencies have made things impossible for residents. Md Shahidul Alam (Uni of Dhaka) argues for greater state coordination & action in the #Haor wetlands.
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#Livelihood in the #wetlands of #Bangladesh was always fragile; #climate emergencies have made things impossible for residents. Md Shahidul Alam (Uni of Dhaka) argues for greater state coordination & action in the #Haor wetlands.
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#Livelihood in the #wetlands of #Bangladesh was always fragile; #climate emergencies have made things impossible for residents. Md Shahidul Alam (Uni of Dhaka) argues for greater state coordination & action in the #Haor wetlands.
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Tonle Sap, an unusual water landscape
There are no roads here. Instead, brightly painted boats glide between houses, fishermen stand waist-deep in the water and…
#Germany #DE #Europe #EU #Europa #SAP #Asia&Oceania #cambodia #floatingvillages #livelihood #sap #tonlesap #tonlesapriver #tourism
https://www.europesays.com/germany/30815/ -
https://www.europesays.com/africa/268699/ Zimbabwean Police Crackdown Threatens Rural Women’s Livelihoods with E-Tricycle Confiscations | Ratopati #Africa #agriculture #chipinge #confiscation #ETricycle #EconomicEmpowerment #fines #Hauna #License #livelihood #mobility #PoliceCrackdown #Registration #RuralWomen #transport #zimbabwe
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One in five self-employed in Germany fear for livelihood, survey finds
A banner with the inscription “ifo” stands at a press conference of the Institute for Economic Research (ifo)…
#Germany #DE #Europe #EU #Europa #ifo #InstituteforEconomicResearch #livelihood #self-employedindividuals
https://www.europesays.com/germany/16661/ -
#Urgent #request to #support #illegal #unjustified #expensive #war to ensure lost lives and #livelihood!
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#Urgent #request to #support #illegal #unjustified #expensive #war to ensure lost lives and #livelihood!
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#Urgent #request to #support #illegal #unjustified #expensive #war to ensure lost lives and #livelihood!
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Chuyên gia nhận định, việc Hà Nội dẹp chợ cóc, chợ tạm không đồng nghĩa với mất sinh kế tiểu thương. Đây là bước để lập lại trật tự đô thị và tạo điều kiện hỗ trợ hộ kinh doanh ổn định lâu dài. #HàNội #QuảnLýĐôThị #SinhKế #Hanoi #UrbanManagement #Livelihood
https://vtcnews.vn/chuyen-gia-dep-cho-coc-o-ha-noi-khong-dong-nghia-voi-mat-sinh-ke-ar998460.html
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Chuyên gia nhận định, việc Hà Nội dẹp chợ cóc, chợ tạm không đồng nghĩa với mất sinh kế tiểu thương. Đây là bước để lập lại trật tự đô thị và tạo điều kiện hỗ trợ hộ kinh doanh ổn định lâu dài. #HàNội #QuảnLýĐôThị #SinhKế #Hanoi #UrbanManagement #Livelihood
https://vtcnews.vn/chuyen-gia-dep-cho-coc-o-ha-noi-khong-dong-nghia-voi-mat-sinh-ke-ar998460.html
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Hồ muối màu hồng ở Senegal có độ mặn gấp 10 lần đại dương và mặn hơn cả Biển Chết. Hàng ngày, người dân vẫn mạo hiểm khai thác muối tại đây để mưu sinh.
#HồMuốiHồng #Senegal #MưuSinh #KhaiThácMuối #SaltLake #PinkLake #Livelihood #SaltHarvesting
https://vietnamnet.vn/canh-mao-hiem-muu-sinh-o-ho-muoi-mau-hong-man-hon-bien-chet-2466667.html
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Hạ tầng khởi sắc, sinh kế bền vững: Bức tranh mới ở vùng cao Thanh Hóa
Việc triển khai đồng bộ các chương trình, chính sách đã mang lại chuyển biến rõ nét trong đời sống của đồng bào vùng dân tộc thiểu số và miền núi Thanh Hóa. Từ hạ tầng giao thông đến phát triển kinh tế địa phương, vùng cao đang có những bước tiến quan trọng.
#ThanhHóa #vùngcao #hạtầng #dântộc #miềnnúi #pháttriển #kinhtế #sinhkế #bềnvững #ThanhHoa #highlands #infrastructure #ethnic #development #economy #livelihood #sustaina
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Hạ tầng khởi sắc, sinh kế bền vững: Bức tranh mới ở vùng cao Thanh Hóa
Việc triển khai đồng bộ các chương trình, chính sách đã mang lại chuyển biến rõ nét trong đời sống của đồng bào vùng dân tộc thiểu số và miền núi Thanh Hóa. Từ hạ tầng giao thông đến phát triển kinh tế địa phương, vùng cao đang có những bước tiến quan trọng.
#ThanhHóa #vùngcao #hạtầng #dântộc #miềnnúi #pháttriển #kinhtế #sinhkế #bềnvững #ThanhHoa #highlands #infrastructure #ethnic #development #economy #livelihood #sustaina
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actionaid.org/publications... Resistance to address #climatechange continues because making #people choose between #livelihood and #survival is wrong when #billionaires are burning down the #world. #climate #justice #humanrights #tax #jobs #employment #food #water #housing #air #land #equality
Climate Finance for Just Trans... -
actionaid.org/publications... Resistance to address #climatechange continues because making #people choose between #livelihood and #survival is wrong when #billionaires are burning down the #world. #climate #justice #humanrights #tax #jobs #employment #food #water #housing #air #land #equality
Climate Finance for Just Trans... -
actionaid.org/publications... Resistance to address #climatechange continues because making #people choose between #livelihood and #survival is wrong when #billionaires are burning down the #world. #climate #justice #humanrights #tax #jobs #employment #food #water #housing #air #land #equality
Climate Finance for Just Trans... -
actionaid.org/publications... Resistance to address #climatechange continues because making #people choose between #livelihood and #survival is wrong when #billionaires are burning down the #world. #climate #justice #humanrights #tax #jobs #employment #food #water #housing #air #land #equality
Climate Finance for Just Trans... -
actionaid.org/publications... Resistance to address #climatechange continues because making #people choose between #livelihood and #survival is wrong when #billionaires are burning down the #world. #climate #justice #humanrights #tax #jobs #employment #food #water #housing #air #land #equality
Climate Finance for Just Trans... -
https://actionaid.org/publications/2025/climate-finance-just-transition-how-finance-flows
One of the major reasons why the resistance to address #climatechange continues is because making #people choose between #livelihood and #survival is just wrong, especially, when #billionaires keep piling up #cash while burning down the #world.
#climate #justice #humanrights #tax #jobs #employment #food #water #housing #air #land #equality
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https://actionaid.org/publications/2025/climate-finance-just-transition-how-finance-flows
One of the major reasons why the resistance to address #climatechange continues is because making #people choose between #livelihood and #survival is just wrong, especially, when #billionaires keep piling up #cash while burning down the #world.
#climate #justice #humanrights #tax #jobs #employment #food #water #housing #air #land #equality
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https://actionaid.org/publications/2025/climate-finance-just-transition-how-finance-flows
One of the major reasons why the resistance to address #climatechange continues is because making #people choose between #livelihood and #survival is just wrong, especially, when #billionaires keep piling up #cash while burning down the #world.
#climate #justice #humanrights #tax #jobs #employment #food #water #housing #air #land #equality
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https://actionaid.org/publications/2025/climate-finance-just-transition-how-finance-flows
One of the major reasons why the resistance to address #climatechange continues is because making #people choose between #livelihood and #survival is just wrong, especially, when #billionaires keep piling up #cash while burning down the #world.
#climate #justice #humanrights #tax #jobs #employment #food #water #housing #air #land #equality
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https://actionaid.org/publications/2025/climate-finance-just-transition-how-finance-flows
One of the major reasons why the resistance to address #climatechange continues is because making #people choose between #livelihood and #survival is just wrong, especially, when #billionaires keep piling up #cash while burning down the #world.
#climate #justice #humanrights #tax #jobs #employment #food #water #housing #air #land #equality
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Painting on paper, 20 x 20 cm: Ambiguous impulses for your mental cinema!
#kunst #contemporaryArt #mentalCinema #analogArt #painting #rubberStamp #reliefPrinting #saveBioDiversity #climateActionNow #systemChange #endFossilFuels #makeArtNotWar #noAFD #NoRacism #NoFascism #humanRights #humanDignity #Нетвойны #owl #wisdom #nature #wilderness #workers #labourers #labourmovement #labourunion #strike #tradeunion #syndicate #wages #living #livelihood -
Painting on paper, 20 x 20 cm: Ambiguous impulses for your mental cinema!
#kunst #contemporaryArt #mentalCinema #analogArt #painting #rubberStamp #reliefPrinting #saveBioDiversity #climateActionNow #systemChange #endFossilFuels #makeArtNotWar #noAFD #NoRacism #NoFascism #humanRights #humanDignity #Нетвойны #owl #wisdom #nature #wilderness #workers #labourers #labourmovement #labourunion #strike #tradeunion #syndicate #wages #living #livelihood -
Painting on paper, 20 x 20 cm: Ambiguous impulses for your mental cinema!
#kunst #contemporaryArt #mentalCinema #analogArt #painting #rubberStamp #reliefPrinting #saveBioDiversity #climateActionNow #systemChange #endFossilFuels #makeArtNotWar #noAFD #NoRacism #NoFascism #humanRights #humanDignity #Нетвойны #owl #wisdom #nature #wilderness #workers #labourers #labourmovement #labourunion #strike #tradeunion #syndicate #wages #living #livelihood -
Painting on paper, 20 x 20 cm: Ambiguous impulses for your mental cinema!
#kunst #contemporaryArt #mentalCinema #analogArt #painting #rubberStamp #reliefPrinting #saveBioDiversity #climateActionNow #systemChange #endFossilFuels #makeArtNotWar #noAFD #NoRacism #NoFascism #humanRights #humanDignity #Нетвойны #owl #wisdom #nature #wilderness #workers #labourers #labourmovement #labourunion #strike #tradeunion #syndicate #wages #living #livelihood -
🤔Do you feel less inclined to speak out about the growing authoritarionism in the #USA and elsewhere because of the threat of reprisals by government to your own #work #livelihood #life?
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🤔Do you feel less inclined to speak out about the growing authoritarionism in the #USA and elsewhere because of the threat of reprisals by government to your own #work #livelihood #life?
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🤔Do you feel less inclined to speak out about the growing authoritarionism in the #USA and elsewhere because of the threat of reprisals by government to your own #work #livelihood #life?
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🤔Do you feel less inclined to speak out about the growing authoritarionism in the #USA and elsewhere because of the threat of reprisals by government to your own #work #livelihood #life?
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🤔Do you feel less inclined to speak out about the growing authoritarionism in the #USA and elsewhere because of the threat of reprisals by government to your own #work #livelihood #life?
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#israel #palestine : #war / #gaza / #westbank / #opt / #livelihood
„A 5-meter-high metal fence slices across the eastern edge of Sinjil, a Palestinian town in the Israeli-occupied West Bank. Heavy steel gates and roadblocks seal off all but a single route in and out of the town, watched over by Israeli soldiers at guard posts.
"Sinjil is now a big prison," said Mousa Shabaneh, 52, a father of seven, watching on in resignation as workers erected the fence (…).“
https://www.japantimes.co.jp/news/2025/07/07/world/west-bank-prison-israel-fences/
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#israel #palestine : #war / #gaza / #westbank / #opt / #livelihood
„A 5-meter-high metal fence slices across the eastern edge of Sinjil, a Palestinian town in the Israeli-occupied West Bank. Heavy steel gates and roadblocks seal off all but a single route in and out of the town, watched over by Israeli soldiers at guard posts.
"Sinjil is now a big prison," said Mousa Shabaneh, 52, a father of seven, watching on in resignation as workers erected the fence (…).“
https://www.japantimes.co.jp/news/2025/07/07/world/west-bank-prison-israel-fences/
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#israel #palestine : #war / #gaza / #westbank / #opt / #livelihood
„A 5-meter-high metal fence slices across the eastern edge of Sinjil, a Palestinian town in the Israeli-occupied West Bank. Heavy steel gates and roadblocks seal off all but a single route in and out of the town, watched over by Israeli soldiers at guard posts.
"Sinjil is now a big prison," said Mousa Shabaneh, 52, a father of seven, watching on in resignation as workers erected the fence (…).“
https://www.japantimes.co.jp/news/2025/07/07/world/west-bank-prison-israel-fences/
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#israel #palestine : #war / #gaza / #westbank / #opt / #livelihood
„A 5-meter-high metal fence slices across the eastern edge of Sinjil, a Palestinian town in the Israeli-occupied West Bank. Heavy steel gates and roadblocks seal off all but a single route in and out of the town, watched over by Israeli soldiers at guard posts.
"Sinjil is now a big prison," said Mousa Shabaneh, 52, a father of seven, watching on in resignation as workers erected the fence (…).“
https://www.japantimes.co.jp/news/2025/07/07/world/west-bank-prison-israel-fences/
