All Deforestation Matters: Deforestation Alert System for the Caatinga Biome in South America’s Tropical Dry Forest DOI Open Access
Diego Pereira Costa, Carlos A. D. Lentini,

André T. Cunha Lima

и другие.

Sustainability, Год журнала: 2024, Номер 16(20), С. 9006 - 9006

Опубликована: Окт. 17, 2024

This study provides a comprehensive overview of Phase I the deforestation dryland alert system. It focuses on its operation and outcomes from 2020 to 2022 in Caatinga biome, unique Brazilian ecosystem. The primary objectives were analyze dynamics, identify areas with highest rates, determine regions that require prioritization for anti-deforestation efforts conservation actions. research methodology involved utilizing remote sensing data, including Landsat imagery, processed through Google Earth Engine platform. data analyzed using spectral unmixing, adjusted Normalized Difference Fraction Index, harmonic time series models generate monthly alerts. findings reveal significant increase alerts deforested over period, 148% rise 2022. biome was identified as second detected Brazil 2022, accounting 18.4% total Hexagonal assessments illustrate diverse vegetation cover distribution, enabling targeted efforts. Bivariate Choropleth Map demonstrates nuanced relationship between cover, guiding control native restoration. analysis also highlighted spatial heterogeneity deforestation, most events occurring small patches, averaging 10.9 ha. concludes while system (SAD-Caatinga—Phase I) has effectively ongoing challenges such cloud seasonality, more frequent precise monitoring persist. implementation DDAS plays critical role sustainable forestry by prompt detection which supports interventions, helps contain process, decision makers early insights distinguish legal illegal practices. These capabilities inform decision-making processes promote forest management ecosystems. Future improvements, higher-resolution imagery artificial intelligence validation, are essential detect smaller alerts, reduce manual efforts, support biome.

Язык: Английский

Towards Uncovering Three Decades of LULC in the Brazilian Drylands: Caatinga Biome Dynamics (1985–2019) DOI Creative Commons
Washington Franca-Rocha, Rodrigo Nogueira de Vasconcelos, Diego P. Costa

и другие.

Land, Год журнала: 2024, Номер 13(8), С. 1250 - 1250

Опубликована: Авг. 9, 2024

Dryland regions around the world are facing intricate challenges due to climate change and human activities. The Caatinga biome in Brazil, an exceptional dryland ecosystem covering approximately 86.3 million hectares, is particularly impacted by influence. We conducted extensive study analyzing changes land use cover within region over a span of 35 years, from 1985 2019. This leverages collective knowledge collaborative effort with MapBiomas project provide valuable insights into biome’s landscape. It maps eight principal classes using Landsat Collection 1 Tier data normalized top-of-atmosphere reflectance. All processing was carried out Google Earth Engine platform, graphics were generate R version 3.6.2. achieved impressive 80% global accuracy time series (LULC) changes, allocation area discrepancies 11.6% 8.5%, respectively. 35-year LULC dataset reveals substantial 11% reduction natural vegetation biome, translating loss 6.57 hectares. decline primarily attributed expansion cattle ranching agriculture; all types have experienced decreases, Savanna Formation (SF) areas declining Forest (FF) 8%. In contrast, pasturelands expanded 62% agricultural 284% during this period. With their urgent significant real-world for informing social, economic, environmental policy decisions other globally, these findings underscore importance immediacy our research.

Язык: Английский

Процитировано

4
Buy It Now or Let It Perish Into Sustainability Holons—The Ghost in Retailers' Food Waste Machines: Sustainable Development Perspectives DOI Creative Commons

Leila Rahnama,

Azita Dehnad,

Ralf Wagner

и другие.

Business Strategy & Development, Год журнала: 2025, Номер 8(2)

Опубликована: Апрель 10, 2025

ABSTRACT This study examines the consumer response to (1) pricing and discounts, (2) packaging design, (3) sustainability‐enhancing technology apps on special offers before maximum shelf life expires. A survey of 303 consumers currently living in Germany supports relevance these factors. Consumer attitudes toward sustainability moderate relationship discounts as well that responses. Most notably, by consolidating identifying factors influencing food waste at retail level influence behavior into a holon flux, we introduce concept holons embedded context feedback loops waste, taking sustainable development perspectives. The study's exploration flux highlights need for future research focus varying levels granularity divergent industries, which could enhance precision applicability diverse cultural business contexts strengthen stakeholder engagement.

Язык: Английский

Процитировано

0
Sahara and other African deserts DOI
Haroun Chenchouni, Abdelhafid Bouzekri, Adel Bezzalla

и другие.

Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 115 - 134

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Impacts of climate change and black sand on Red Sea, Egypt. A comprehensive review DOI
Mohamed Hamed, Mostafa A. Khaled, Rashad E.M. Said

и другие.

Regional Studies in Marine Science, Год журнала: 2024, Номер 78, С. 103787 - 103787

Опубликована: Авг. 29, 2024

Язык: Английский

Процитировано

2
All Deforestation Matters: Deforestation Alert System for the Caatinga Biome in South America’s Tropical Dry Forest DOI Open Access
Diego Pereira Costa, Carlos A. D. Lentini,

André T. Cunha Lima

и другие.

Sustainability, Год журнала: 2024, Номер 16(20), С. 9006 - 9006

Опубликована: Окт. 17, 2024

This study provides a comprehensive overview of Phase I the deforestation dryland alert system. It focuses on its operation and outcomes from 2020 to 2022 in Caatinga biome, unique Brazilian ecosystem. The primary objectives were analyze dynamics, identify areas with highest rates, determine regions that require prioritization for anti-deforestation efforts conservation actions. research methodology involved utilizing remote sensing data, including Landsat imagery, processed through Google Earth Engine platform. data analyzed using spectral unmixing, adjusted Normalized Difference Fraction Index, harmonic time series models generate monthly alerts. findings reveal significant increase alerts deforested over period, 148% rise 2022. biome was identified as second detected Brazil 2022, accounting 18.4% total Hexagonal assessments illustrate diverse vegetation cover distribution, enabling targeted efforts. Bivariate Choropleth Map demonstrates nuanced relationship between cover, guiding control native restoration. analysis also highlighted spatial heterogeneity deforestation, most events occurring small patches, averaging 10.9 ha. concludes while system (SAD-Caatinga—Phase I) has effectively ongoing challenges such cloud seasonality, more frequent precise monitoring persist. implementation DDAS plays critical role sustainable forestry by prompt detection which supports interventions, helps contain process, decision makers early insights distinguish legal illegal practices. These capabilities inform decision-making processes promote forest management ecosystems. Future improvements, higher-resolution imagery artificial intelligence validation, are essential detect smaller alerts, reduce manual efforts, support biome.

Язык: Английский

Процитировано

0