Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 371, P. 123064 - 123064
Published: Oct. 31, 2024
Language: Английский
Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 471, P. 134410 - 134410
Published: April 25, 2024
Language: Английский
Citations
27
Ecological Indicators, Journal Year: 2024, Volume and Issue: 158, P. 111592 - 111592
Published: Jan. 1, 2024
With the rapid pace of global urbanization, conflict between needs human economic development and ecological conservation is becoming increasingly prominent. As an important habitat along migratory routes birds in East Asia, construction network for bird communities Foshan City essential to protect urban biodiversity. In this research, we employs Maximum Entropy Model (MaxEnt) Remote Sensing Ecological Index (RSEI) identify source sites based on migration characteristics requirements, calculated minimum threshold area by using granularity inverse method. Secondly, entropy weight method (EWM) analytical hierarchy process (AHP) are combined establish a comprehensive resistance surface. Finally, circuit theory hydrological analysis principles utilized construct network. The findings reveal following: landscape component structure best at grain size 1400 m, 1.96 km2 identified sources Foshan. A total 19 sources, spanning 636.09 km2, have been identified. These mainly clustered north, south-west east City. terms corridors, research shows existence 51 corridors with length 501.84 km. include 7 first-level 25 s-level potential (including 15 radiating routes). At same time, 88 nodes, including 10 critical nodes 78 general nodes. Lastly, closure index (α), connectivity (β), rate (γ), density (ρ) after optimization grew 0.84, 2.43, 0.89, 0.16, respectively. This study can provide data support optimizing future security pattern diversity
Language: Английский
Citations
20
Plants, Journal Year: 2024, Volume and Issue: 13(5), P. 645 - 645
Published: Feb. 26, 2024
Climate change plays a pivotal role in shaping the shifting patterns of plant distribution, and gaining insights into how medicinal plants plateau region adapt to climate will be instrumental safeguarding rich biodiversity highlands. Gymnosia orchidis Lindl. (G. orchidis) is valuable Tibetan resource with significant medicinal, ecological, economic value. However, growth G. severely constrained by stringent natural conditions, leading drastic decline its resources. Therefore, it crucial study suitable habitat areas facilitate future artificial cultivation maintain ecological balance. In this study, we investigated zones based on 79 occurrence points Qinghai–Tibet Plateau (QTP) 23 major environmental variables, including climate, topography, soil type. We employed Maximum Entropy model (MaxEnt) simulate predict spatial distribution configuration changes during different time periods, last interglacial (LIG), Last Glacial (LGM), Mid-Holocene (MH), present, scenarios (2041–2060 2061–2080) under three (SSP126, SSP370, SSP585). Our results indicated that annual precipitation (Bio12, 613–2466 mm) mean temperature coldest quarter (Bio11, −5.8–8.5 °C) were primary factors influencing orchidis, cumulative contribution 78.5%. The driest season had most overall impact. Under current covered approximately 63.72 × 104/km2, encompassing Yunnan, Gansu, Sichuan, parts Xizang provinces, highest suitability observed Hengduan, Yunlin, Himalayan mountain regions. past, area experienced Mid-Holocene, variations total centroid migration direction. scenarios, projected expand significantly SSP370 (30.33–46.19%), followed SSP585 (1.41–22.3%), while contraction expected SSP126. Moreover, centroids exhibited multidirectional movement, extensive displacement (100.38 km2). This provides theoretical foundation for conservation endangered QTP.
Language: Английский
Citations
9
Applied Energy, Journal Year: 2025, Volume and Issue: 383, P. 125329 - 125329
Published: Jan. 16, 2025
Language: Английский
Citations
1
Case Studies in Construction Materials, Journal Year: 2025, Volume and Issue: unknown, P. e04326 - e04326
Published: Jan. 1, 2025
Language: Английский
Citations
1
Forests, Journal Year: 2024, Volume and Issue: 15(2), P. 379 - 379
Published: Feb. 18, 2024
The gum acacia Senegalia senegal (L.) Britton (Fabales: Fabaceae) is a drought-tolerant plant belonging to the genus Acacia of Leguminosae family, possessing significant economic and ecological value. Despite its importance, there knowledge gap regarding potential impact climate change on distribution S. senegal, crucial for conservation resources optimizing use in introductory silviculture. In this study, we selected 23 environmental variables utilized optimized maximum entropy (MaxEnt) model analyze key factors affecting worldwide simulate current future range Pakistan under SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5 scenarios. results highlight influencing including BIO3 (isothermally), BIO4 (coefficient seasonal variation temperature), BIO11 (mean temperature coldest season), BIO12 (annual precipitation). Regions with higher less fluctuating temperatures exhibit distribution. Currently, suitable habitats are concentrated southern region Pakistan, covering provinces such as Punjab, Sindh, Balochistan, highly accounting 6.06% total area. Under climatic conditions, study identifies spatial patterns their concentration specific regions. With change, notable expansion towards latitudes observed, most extremely severe scenario (SSP5-8.5), reaching 223.45% level. enhance our understanding dynamics offer valuable insights into long-term introduction afforestation soil Pakistan. This provides theoretical support sustainable development local ecosystem socio-economy, emphasizing importance proactive measures adapt changing conditions.
Language: Английский
Citations
4
Microchemical Journal, Journal Year: 2024, Volume and Issue: 207, P. 111958 - 111958
Published: Oct. 18, 2024
Language: Английский
Citations
4
Journal of CO2 Utilization, Journal Year: 2025, Volume and Issue: 94, P. 103058 - 103058
Published: March 5, 2025
Language: Английский
Citations
0
Critical Reviews in Food Science and Nutrition, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 45
Published: Dec. 7, 2024
Artificial intelligence is an emerging technology which harbors a suite of mechanisms that have the potential to be leveraged for reaping value across multiple domains. Lately, there increased interest in embracing applications associated with Intelligence positively contribute food safety. These such as machine learning, computer vision, predictive analytics algorithms, sensor networks, robotic inspection systems, and supply chain optimization tools been established several domains safety early warning outbreaks, risk prediction, detection identification pathogens. Simultaneously, ambition toward establishing sustainable system has motivated adoption cutting-edge technologies strengthen security. Given myriad challenges confronting stakeholders their endeavors safeguard security, emerges promising tool capable crafting holistic management strategies This entails maximizing crop yields, mitigating losses, trimming operational expenses. AI models present notable benefits efficiency, precision, uniformity, automation, pattern identification, accessibility, scalability security endeavors. The escalation global trend adopting alternative protein sources edible insects microalgae source reflects growing recognition need resilient systems address population growth, environmental degradation, insecurity. offers range capabilities enhance production consumption proteins like insects, contributing secure system.
Language: Английский
Citations
3
Resources Policy, Journal Year: 2024, Volume and Issue: 92, P. 105037 - 105037
Published: April 29, 2024
Language: Английский
Citations
2