AIMC Topic: Conservation of Natural Resources

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The serious loss of mangrove forest over the largest delta of Africa, Niger Delta: causes and reasons.

Marine environmental research
While global mangrove forests have suffered significant loss, raising widespread concern, little information is available on how mangrove forests have changed along Africa's coast. This study employed multi-temporal remote sensing data and machine le...

Can AI computing power promote the green transformation of energy enterprises? Evidence from the nonlinear moderating effect of public environmental awareness.

Journal of environmental management
Amid growing concerns over climate change and energy security, the green transformation of energy enterprises has become a global sustainability priority. This study investigates the nonlinear impact of artificial intelligence computing power (AICP) ...

Policy-driven improvements in cultivated land productivity: Changed determinants in Huang-Huai-Hai Plain, China.

Journal of environmental management
Sustainably improving cultivated land productivity (CLP) contributes to food security and environmental sustainability. Over the past 30 years, a portfolio of national cultivated land improvement programs (NCLIP) has been implemented in China's impor...

Tecomella undulata under threat: The impact of climate change on the distribution of a valuable tree species using a machine learning model.

PloS one
Climate change has emerged as a significant driver of biodiversity loss, with profound implications for species distribution. This study assessed the current and future distribution of Tecomella undulata (Desert teak), an economically and medicinally...

Machine learning-based detection of changes in mapping the mangrove forest of the Yangon estuary, Southeast Asia.

Marine environmental research
Mangrove forests are globally acknowledged for stabilizing coastlines, reducing wave energy, and protecting coastal habitats and adjacent land uses from extreme events. However, most regions experience alarming mangrove loss against natural and human...

Benthic communities on restored coral reefs confer equivalent aesthetic value to healthy reefs.

Scientific reports
Coral reefs are valuable ecosystems that provide diverse ecosystem services to people. For example, many reefs have exceptionally high tourism value, attracting visitors to experience their ecologically and visually rich reef habitat. However, human-...

Leveraging machine learning for monitoring afforestation in mining areas: evaluating Tata Steel's restoration efforts in Noamundi, India.

Environmental monitoring and assessment
Mining activities have long been associated with significant environmental impacts, including deforestation, habitat degradation, and biodiversity loss, necessitating targeted strategies like afforestation to mitigate ecological damage. Tata Steel's ...

Broadscale reconnaissance of coral reefs from citizen science and deep learning.

Environmental monitoring and assessment
Coral reef managers require various forms of data. While monitoring is typically the preserve of scientists, there is an increasing need to collect larger scale, up-to-date data to prioritise limited conservation resources. Citizen science combined w...

The impact and return-on-investment of evidence-based practice in conservation and environmental management: A machine learning-assisted scoping review protocol.

PloS one
Evidence-based Practice (EBP) is a vital principle, with its origins in the 1970s, that has transformed the disciplines of medicine and healthcare. The use of best available evidence to inform decisions and best practice has since spread across other...

Deforestation driven by illegal and informal gold mining in the southern Peruvian Amazon: a predictive land use analysis over the next 50 years.

Environmental monitoring and assessment
The Amazon is recognized not only for its vast biodiversity and territorial extent but also for the significant mineral riches it harbors. This potential has intensified small-scale illegal and informal gold mining, a practice often employed without ...