Impact of Extreme Climate Indices on Vegetation Dynamics in the Qinghai–Tibet Plateau: A Comprehensive Analysis Utilizing Long-Term Dataset

ISPRS International Journal of Geo-Information, Journal Year: 2024, Volume and Issue: 13(12), P. 457 - 457

Published: Dec. 17, 2024

The Qinghai–Tibet Plateau (QTP) is crucial for global climate regulation and ecological equilibrium. However, the phenomenon of warming has increased frequency extreme weather events on QTP, exerting substantial effects both regional systems. This study utilized long-term series NDVI indices to comprehensively evaluate impact climatic changes diverse vegetation types within QTP. A variety analytical methodologies, including trend analysis, a Mann–Kendall test, correlation random forest importance ranking, were employed in this study. These methodologies applied investigate distribution patterns variation trends indices. comprehensive approach facilitated detailed analysis responses different interannual variability under conditions enabled assessment these types. findings have following implications: (1) Except forests, annual overall vegetation, meadows, steppes, deserts, alpine QTP exhibits significant upward (p < 0.01). Notably, meadows deserts demonstrate highest growth rates at 0.007/10y, whereas forests not statistically > 0.05). Substantial increases predominantly detected central northeastern regions while decreases mostly observed southeastern western regions. area exhibiting increase (38.71%) considerably surpasses that with decrease (14.24%). (2) There was reduction 0.05) number days associated cold temperature indices, CSDI, DTR, FD, ID, TN10p, TX10p. In contrast, related extremely warm temperatures, such as GSL, WSDI, SU25, TN90p, TNn, TNx, TX90p, TXx, exhibited pronounced rise minimum reflected by fewer days, notably contributed warming. Although precipitation become less frequent, their intensity increased. Notable spatial variations observed, although no consistent changing pattern emerged. (3) non-forest showed negative most positive between found only steppe desert ecosystems, other Both underscore variations, model superior capability capturing nonlinear relationships. conclusion, change projected result heightened events. might temporarily enhance growth, they are also numerous detrimental impacts. Therefore, it imperative awareness take proactive measures early warning prevention.

Language: Английский

A Comprehensive Study of Vegetation Health in Response to Climate Variability and Drought: Case of Assif el mal Basin, High Atlas of Marrakech

Published: Jan. 1, 2023

The main goal of this study is to demonstrate how vegetation, in the Assif el Mal basin has changed over time especially considering recurring drought and various impacts climate change. In decades region faced droughts worsened by changes land cover due urbanization resulting higher temperatures damage vegetation. Woody plants play a role regulating water energy. Are essential for mitigating effects maintaining balanced environment. considered risk its vulnerability which causes shifts vegetation distribution influenced changing climatic conditions.Using satellite data from 1985 2023 our examines relationship between drought, We will analyze indicators such as precipitation, temperature conditions, surface temperature, soil moisture, use health gain an understanding patterns have evolved. Given that remains related challenge research highlights importance management strategies can enhance resilience regions facing issues. This contributes insights discussion, on sustainable environmental management.

Language: Английский

Evaluación de algoritmos de clasificación para la identificación de la deforestación en el resguardo indígena Llanos del Yarí Yaguara II

Revista Facultad de Ciencias Básicas, Journal Year: 2024, Volume and Issue: 19(1), P. 13 - 32

Published: Dec. 26, 2024

La deforestación se ha convertido en un problema crítico muchas regiones del mundo, particularmente áreas de alto valor ambiental y cultural, como el resguardo indígena Llanos Yarí Yaguara II. Comprender alcance e impacto la este requiere enfoque metodológico sólido para analizar manera efectiva los cambios cobertura suelo. Este artículo analiza diferentes algoritmos clasificación determinar cuál ofrece mayor fiabilidad identificación debido a deforestación, combinación con conocimiento zona cartografía uso Se utiliza teledetección, una herramienta ampliamente empleada propósito, que aplica dos no supervisada cinco datos imágenes satelitales, Landsat 8 9. satelitales indígena, revelando baja precisión supervisada. En contraste, supervisados, particular Máquina Soporte Vectorial Distancia Mahalanobis, logran 97 %, apoyando deforestadas. aplicación método Máxima Verosimilitud ArcGIS análisis multitemporal confirma drástica disminución las clasificadas vegetación abundante. Además, destaca significativa pérdida bosque denso durante seis años, lo subraya urgencia acciones coordinadas prevenir más daños ecológicos sociales. Los resultados estudio recalcan importancia utilizar alta proporcionan base confiable gestión toma decisiones políticas territorios indígenas.