Prospects and Challenges of Artificial Intelligence in Forest Protection DOI
Laeeq Razzak Janjua,

Saquib Ahmed,

Bhupinder Singh

и другие.

Advances in environmental engineering and green technologies book series, Год журнала: 2024, Номер unknown, С. 231 - 246

Опубликована: Ноя. 29, 2024

The protection of Earth's ecology and balancing rests heavily on forest preservation. Issues like trafficking wildlife, illegal logging, deforestation are still existing. Conventional methods monitoring techniques safety precautions have drawbacks inefficient to address these ecological problems. In the present era, Artificial Intelligence is advancing, it has given a fresh hope in preserving forest. chapter examines best possible use preservation concentrating certain situations wildlife conservation, logging surveillance prediction fire forests. intelligence (AI) technology makes available greater accuracy efficiency than conventional techniques, allowing for quicker detection reaction damage activities. AI will become more significant future because additional technical developments growth application areas, opening new avenues sustainable

Язык: Английский

Melding Artificial Intelligence and Remote Sensing Data for Real-Time Monitoring of Marine Biodiversity DOI
Sahil Lal, Manmeet Kaur Arora, Budi Agus Riswandi

и другие.

Practice, progress, and proficiency in sustainability, Год журнала: 2024, Номер unknown, С. 299 - 319

Опубликована: Июль 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.

Язык: Английский

Процитировано

18

Mixed effectiveness of global protected areas in resisting habitat loss DOI Creative Commons
Guangdong Li, Chuanglin Fang, James E. M. Watson

и другие.

Nature Communications, Год журнала: 2024, Номер 15(1)

Опубликована: Сен. 27, 2024

Язык: Английский

Процитировано

18

Environment-Biodiversity Protection and SDG 15 (Life on Land) DOI
Bhupinder Singh, Christian Kaunert, Kittisak Jermsittiparsert

и другие.

Practice, progress, and proficiency in sustainability, Год журнала: 2024, Номер unknown, С. 259 - 282

Опубликована: Авг. 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.

Язык: Английский

Процитировано

11

Global extent and change in human modification of terrestrial ecosystems from 1990 to 2022 DOI Creative Commons
David M. Theobald, James R. Oakleaf, Glenn R. Moncrieff

и другие.

Scientific Data, Год журнала: 2025, Номер 12(1)

Опубликована: Апрель 10, 2025

Abstract Habitat loss and degradation associated with industrial development is the primary threat dominant driver of biodiversity globally. Spatially-explicit datasets that estimate human pressures are essential to understand extent rate anthropogenic impacts on ecosystems critical inform conservation commitments efforts under Global Biodiversity Framework. We leveraged modification framework generate comprehensive, consistent, detailed, robust, temporal, contemporary map cumulative individual threats activities terrestrial from 1990 2022. In ~2022, 43% lands had very low levels modification, while 27%, 20%, 10% low, moderate, high respectively. Nearly 2/3 biomes 1/2 ecoregions currently moderately-modified, 24% (31 M km 2 ) experienced increased 2020. About 29% countries 31% might also be particularly vulnerable given their above-average less than 30% protection.

Язык: Английский

Процитировано

2

Overcoming Shifting Baselines: Paleo‐Behaviour Reveals Industrial Revolution as Tipping Point DOI Creative Commons
Julian Lilkendey, Jens C. Hegg, Matthew Campbell

и другие.

Global Change Biology, Год журнала: 2025, Номер 31(1)

Опубликована: Янв. 1, 2025

ABSTRACT Human activities have significantly altered coastal ecosystems worldwide. The phenomenon of shifting baselines syndrome (SBS) complicates our understanding these changes, masking the true scale human impacts. This study investigates long‐term ecological effects anthropogenic on New Zealand's over 800 years using fish otolith microchemical profiling and dynamic time warping across an entire stock unit. Results reveal a shift in snapper ( Chrysophrys auratus ; Sparidae) habitat‐use behaviour, transitioning from low‐salinity estuarine environments to higher‐salinity habitats, correlating with ongoing land‐use changes. coincided localised Industrial Revolution, which served as tipping point for widespread ecosystem transformation. By comparing current movement profiles historical baselines, we provide evidence address SBS guide conservation strategies. Re‐establishing pre‐industrial behaviours will indicate successful habitat restoration, promoting overall connectivity resilience. Our findings enable more effective restoration measures sustainable management practices, informing policies maintaining biodiversity function.

Язык: Английский

Процитировано

1

Stylized facts of past 1000-year of China’s cropland changes DOI
Fan Yang, Guanpeng Dong, Pengfei Wu

и другие.

Land Use Policy, Год журнала: 2024, Номер 144, С. 107258 - 107258

Опубликована: Июль 1, 2024

Язык: Английский

Процитировано

4

Mapping global land conversion pressure to support conservation planning DOI Creative Commons
James R. Oakleaf, Christina M. Kennedy, Nicholas H. Wolff

и другие.

Scientific Data, Год журнала: 2024, Номер 11(1)

Опубликована: Июль 30, 2024

Proactively identifying where land conversion might occur is critical to targeted and effective conservation planning. Previous efforts map future habitat loss have largely focused on forested systems been limited in their consideration of drivers loss. We developed a 1-km resolution, global pressure from multiple drivers, referred as the index (CPI). The CPI combines past rates anthropogenic change, measured by temporal human modification maps, with suitability maps for potential expansion large-scale development. thus offers new way measure cumulative gradient opposed categorical cover change. find that nearly 23% across 200 countries relatively high pressure, potentially impacting over 460 million ha intact natural lands. illustrate how this information can be used identify areas proactive avoid ensure national commitments under Kunming-Montreal Global Biodiversity Paris Agreement Climate Frameworks are upheld.

Язык: Английский

Процитировано

3

Advancing Artificial Intelligence for Wildfire Prediction and Control DOI
Tarun Kumar Kaushik,

Ravish,

Anurag Ambroz Singh

и другие.

Advances in environmental engineering and green technologies book series, Год журнала: 2024, Номер unknown, С. 25 - 48

Опубликована: Ноя. 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

Язык: Английский

Процитировано

3

Global rarity of high-integrity tropical rainforests for threatened and declining terrestrial vertebrates DOI
Rajeev Pillay, James E. M. Watson, Andrew J. Hansen

и другие.

Proceedings of the National Academy of Sciences, Год журнала: 2024, Номер 121(51)

Опубликована: Дек. 9, 2024

Structurally intact native forests free from major human pressures are vitally important habitats for the persistence of forest biodiversity. However, extent such high-integrity remaining biodiversity is unknown. Here, we quantify amount tropical rainforests, as a fraction total cover, within geographic ranges 16,396 species terrestrial vertebrates worldwide. We found up to 90% humid forest-dependent was encompassed by cover. Concerningly, however, merely 25% these rainforests high integrity. Forest-dependent that threatened and declining with small have disproportionately low proportions habitat left. Our work brings much needed attention poor quality estate across tropics. The targeted preservation world’s currently unprotected critical conservation priority may help alleviate crisis in hyperdiverse irreplaceable ecosystems. Enhanced efforts worldwide preserve rainforest integrity essential meet targets Convention on Biological Diversity’s 2022 Kunming-Montreal Global Biodiversity Framework which aims achieve near zero loss importance areas (including ecosystems integrity) 2030.

Язык: Английский

Процитировано

3

Global extent and change in human modification of terrestrial ecosystems from 1990 to 2022 DOI Creative Commons
David M. Theobald, James R. Oakleaf, Glenn R. Moncrieff

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Янв. 15, 2025

Abstract Habitat loss and degradation associated with industrial development is the primary threat dominant driver of biodiversity globally. Spatially-explicit datasets that estimate human pressures are essential to understand extent rate anthropogenic impacts on ecosystems critical inform conservation commitments efforts under Global Biodiversity Framework. We leveraged modification framework generate comprehensive, consistent, detailed, robust, temporal, contemporary map cumulative individual threats activities terrestrial from 1990 2022. In ∼2022, 43% lands had very low levels modification, while 27%, 20%, 10% low, moderate, high respectively. Nearly ⅔ biomes ½ ecoregions currently (∼2022) moderately-modified, 24% (31 M km 2 ) experienced increased 2020. About 29% countries 31% might also be particularly vulnerable given their above-average less than 30% protection.

Язык: Английский

Процитировано

0