Melding Artificial Intelligence and Remote Sensing Data for Real-Time Monitoring of Marine Biodiversity

Practice, progress, and proficiency in sustainability, Journal Year: 2024, Volume and Issue: unknown, P. 299 - 319

Published: July 26, 2024

The biodiversity of the oceans provides us with key ecosystem services, however marine life is facing a multitude threats like pollution, climate change and over-exploitation. Action: Monitoring conservation strategies need to be put in place save these fragile ecosystems. focus this chapter on monitoring real-time using remote sensing artificial intelligence (AI). Advanced systems (such as TOPAZ system) use an ensemble Kalman filter assimilate satellite-measured sea-surface temperatures, heights, in-situ measurements from Argo profiling floats XBTs. These render three-dimensional (3D) comprehensive state picture ocean, which comprises temperature fields current structures rather than just projections. This focuses melding data for biodiversity.

Language: Английский

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Possible changes of Pinus nigra distribution regions in Türkiye with the impacts of global climate change

BioResources, Journal Year: 2024, Volume and Issue: 19(3), P. 6190 - 6214

Published: July 19, 2024

Global climate change poses significant threats to ecosystems worldwide, particularly impacting long-lived forest tree species such as Pinus nigra. This study assessed the potential shifts in distribution areas for nigra, an important species, one highly vulnerable global change, given its prevalence continental climates, Türkiye under different scenarios (SSPs 585 and 245). In this study, suitable regions of nigra were evaluated based on SSPs 245 using nine models. Results indicated losses ranging from 15.0% 43.5% 245) 19.7% 48.9% 585) by 2100. However, 2100, new are expected be formed at rates 13.8% 32.1% 15.1% 34.4% according above scenarios. Because most newly quite far where currently spreads, it seems necessary provide migration mechanism needed humans prevent population process.

Language: Английский

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Environment-Biodiversity Protection and SDG 15 (Life on Land)

Practice, progress, and proficiency in sustainability, Journal Year: 2024, Volume and Issue: unknown, P. 259 - 282

Published: Aug. 27, 2024

Land ecosystems provide a range of products, such as food, energy, and construction materials, in addition to essential services like carbon sequestration, soil quality maintenance, habitat supply for biodiversity, water flow management, erosion control. To maintain the diversity life on land, targeted efforts that preserve, restore, promote preservation sustainable use terrestrial other are required. Preventing loss successfully halting desertification, stopping reversing land degradation, managing forests sustainably main objectives SDG Goal 15. These need be protected order properly reduce adapt climate change. This chapter examines potential problems related Sustainable Development 15 (Life Land) by examining connections between environment, legal frameworks, biodiversity conservation.

Language: Английский

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Landscape ecological risks assessment of the China-Vietnam border area: the perspective of production-living-ecological spaces

Regional Environmental Change, Journal Year: 2024, Volume and Issue: 24(3)

Published: July 5, 2024

Language: Английский

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Assessing the vulnerability of a sky island lizard to climate and land-use change

Herpetozoa, Journal Year: 2024, Volume and Issue: 37, P. 257 - 267

Published: Aug. 16, 2024

Under climate change, species are expected to migrate along with their envelope. However, many species’ distribution models do not include the human footprint, thus overestimating distributional zones high probabilities of occurrence. Species inhabiting sky islands (high-elevation landscapes that differ from in intermediate valleys) particularly sensitive and land-use given limited ability migrate. We aimed assess suitability climatic conditions for a island lizard under different scenarios how could affect its based on (i) envelope (ii) footprint (croplands buildings). Using variables develop model indicator Human Footprint, we predicted presence Liolaemus nigroviridis Müller & Hellmich, 1932 populations change (current, year 2040, 2080). analyzed relevant L. ’s envelope, which projected decrease shift southward by 2080. The track Andes, but Coastal mountains, strong footprint. propose assisted migration as possible adaptive strategy, show conservation can be enhanced integrating anthropogenic factors.

Language: Английский

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Assessment of the Potential Suitable Habitat of Apriona rugicollis Chevrolat, 1852 (Coleoptera: Cerambycidae) Under Climate Change and Human Activities Based on the Biomod2 Ensemble Model

Insects, Journal Year: 2024, Volume and Issue: 15(12), P. 930 - 930

Published: Nov. 27, 2024

Effective use of species distribution models can assess the risk spreading forest pests. In this study, based on 434 occurrence records and eight environmental variables, an ensemble model was applied to identify key factors affecting Apriona rugicollis Chevrolat, 1852 predict its potential habitat relative areas change under current future climatic conditions. The results indicate that humidity, solar radiation, topography, human activities were main influencing A. rugicollis. Under climate scenario, suitable habitats are mainly concentrated in East Asia, including North Korea, South Japan, Myanmar, Vietnam, China. scenarios, area for gradually increases, especially China which at high spreading. addition, will expand northeastward higher latitudes. study provide important scientific basis policymakers formulate strategies monitoring controlling response change.

Language: Английский

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AI and ML Applications in Wildlife Conservation and Forest Management

Advances in environmental engineering and green technologies book series, Journal Year: 2024, Volume and Issue: unknown, P. 49 - 68

Published: Nov. 29, 2024

AI and ML have opened new avenues into wildlife conservation, linking efforts worldwide to improve forest management. However, a comprehensive review highlights the manifold applications of these technologies for biodiversity conservation natural resource These are automated species identification population monitoring predict habitat degradation anti-poaching strategies, all contributing immensely preservation Wildlife. This chapter outlines how AI-powered drones sensor networks can quickly monitor environments, find illegal actions as they happen, collect reams data on behavior. It also explores opportunities algorithms study intricate ecological inter-relationships, climate change effects & optimize restoration management activities. provide roadmap great promise that emergent hold in providing configurations Wildlife Conservation Forest Management promote Sustainable future.

Language: Английский

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Advancing Artificial Intelligence for Wildfire Prediction and Control

Advances in environmental engineering and green technologies book series, Journal Year: 2024, Volume and Issue: unknown, P. 25 - 48

Published: Nov. 29, 2024

The advancements in data science, along with the digital and satellite technologies, have increased capabilities for using artificial intelligence (AI) fields of forestry wildlife. However, rapid expansion construction projects, agricultural activities, urban regions presents a substantial risk to biodiversity worldwide. Therefore, cutting-edge technology like domains forests might enhance effective monitoring, management, conservation forest resources. This chapter aims provide thorough overview global use AI machine learning (ML) algorithms sector protection. Moreover, this study investigates challenges faced during biodiversity. results would motivate officials, scientists, researchers, conservationists explore possibilities management

Language: Английский

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Artificial Intelligence and Machine Learning Technological Tools in Enhancing Efficiency in Wildlife and Forest Conservation

Advances in environmental engineering and green technologies book series, Journal Year: 2024, Volume and Issue: unknown, P. 69 - 92

Published: Nov. 29, 2024

General enthusiasm surrounding the possibilities of AI, there are persistent concerns regarding its negative impacts, including substantial energy consumption and issues ethics. The evaluation has looked at several uses in fields building, transportation, healthcare, manufacturing, agriculture, water. Among numerous techniques used sustainability regression, DSS-based (Decision Support System) AI models RL (Reinforcement Learning) most often ones. assessment also provides direction on industrial sectors using strategies to include ideas sustainable development into their operations.

Language: Английский

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Navigating the Terrain of Sustainability Trajectories of Environment

Practice, progress, and proficiency in sustainability, Journal Year: 2024, Volume and Issue: unknown, P. 355 - 374

Published: Nov. 22, 2024

The targeted actions that protect-restore and encourage the preservation sustainable use of terrestrial other ecosystems are necessary to support variety living forms inhabit land. Sustainable Development Goal (SDG) 15 focuses on preventing biodiversity loss, effectively combating desertification, reversing habitat land degradation managing forests sustainably. In addition providing vital functions like carbon sequestration, soil quality maintenance, provision for biodiversity, water flow management, erosion control, also provide a goods including food, energy building materials. These processes essential controlling climate, promoting agricultural output reducing danger natural disasters landslides floods. This chapter explores multifaceted challenges opportunities associated with SDG (Life Land) via focusing relationships between environment protection.

Language: Английский

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