Impact of Extreme Climate Indices on Vegetation Dynamics in the Qinghai–Tibet Plateau: A Comprehensive Analysis Utilizing Long-Term Dataset DOI Creative Commons
Hanchen Duan,

Beiying Huang,

Shulin Liu

et al.

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

Redefining seasons: Dynamic meteorological delineation unveils novel patterns in vegetation phenology responses to climate change DOI Creative Commons
Xinyi Fan,

Zhixin Hao,

Yang Liu

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113214 - 113214

Published: Feb. 1, 2025

Language: Английский

Citations

1
Advances in vegetation mapping through remote sensing and machine learning techniques: a scientometric review DOI Creative Commons

Charles Matyukira,

Paidamwoyo Mhangara

European Journal of Remote Sensing, Journal Year: 2024, Volume and Issue: 57(1)

Published: Oct. 30, 2024

This study explores the rapid growth in remote-sensing technologies for vegetation mapping, driven by integration of advanced machine learning techniques. An analysis publication trends from Scopus indicates significant expansion 2019 to 2023, reflecting technological advancements and improved accessibility. Incorporating algorithms like random forest, support vector machines, neural networks, XGBRFClassifier has enhanced monitoring dynamics at various scales. progress supports addressing global environmental challenges such as climate change providing timely data conservation strategies. China leads research output, followed United States India, underscoring field's significance. Key journals, including "Remote Sensing," conferences IGARSS, play pivotal roles disseminating findings. The majority publications are articles, emphasizing reliance on original empirical data. multidisciplinary nature is evident, with contributions spanning Earth Sciences, Agriculture, Environmental Science, Computer Science. Visualisations using VOSviewer reveal interconnected themes, highlighting topics land use, change, aboveground biomass. findings emphasise importance continued international collaboration develop innovative solutions sustainability.

Language: Английский

Citations

5
Comparison of the capability and performance of “photosynthesis” and “structure” indices in retrieving vegetation phenology in the Northern Hemisphere DOI Creative Commons
Bohan Jiang, Wei Chen, Shaoyi Chen

et al.

GIScience & Remote Sensing, Journal Year: 2025, Volume and Issue: 62(1)

Published: March 3, 2025

Language: Английский

Citations

0
ENSO-induced precipitation seasonality in the Chinese Loess Plateau during 1767-2050 CE DOI Creative Commons
Liang Yi, Liangcheng Tan

Fundamental Research, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0
Trends in the phenology of the Hyrcanian Forests: Elevation and Climate Change Impacts DOI
Ahmad Abbasnezhad Alchin, Vahid Nasiri, Paweł Netzel

et al.

Remote Sensing Applications Society and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 101588 - 101588

Published: May 1, 2025

Language: Английский

Citations

0
Earlier Spring-Summer Phenology and Higher Photosynthetic Peak Altered the Seasonal Patterns of Vegetation Productivity in Alpine Ecosystems DOI Creative Commons
Fan Yang, Chao Liu, Qianqian Chen

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(9), P. 1580 - 1580

Published: April 29, 2024

Carbon uptake of vegetation is controlled by phenology and photosynthetic carbon capacity. However, our knowledge the seasonal responses productivity to phenological physiological changes in alpine ecosystems still weak. In this study, we quantified spatio-temporal variations gross primary (GPP) across source region Yellow River (SRYR) analyzing MODIS-derived GPP from 2001 2019, explored how maximum capacity (GPPmax) affected over region. Our results showed that SRYR experienced significantly advanced trends (p < 0.05) for both start (SOS) peak (POS) growing season 2019. Spring (GPPspr) had a increasing trend 0.01), earlier SOS obvious positive effects on GPPspr. Summer (GPPsum) was negatively correlated POS 0.05). addition, GPPmax significant correlation with GPPsum GPPann respectively. It found an spring-summer higher enhanced efficiency spring summer altered patterns under warming wetting climates. This study indicated not only autumn but also should be regarded as crucial indicators regulating process ecosystems. research provides important information about affect global climate warming.

Language: Английский

Citations

3
Shifting vegetation phenology in protected areas: A response to climate change DOI Creative Commons
Irina Onțel, Sorin Avram,

Gheorghe Carmen Adriana

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: unknown, P. 102962 - 102962

Published: Dec. 1, 2024

Language: Английский

Citations

1
Changes in Climate and Their Implications for Cattle Nutrition and Management DOI Open Access
Bashiri Iddy Muzzo, R. Douglas Ramsey, Juan J. Villalba

et al.

Climate, Journal Year: 2024, Volume and Issue: 13(1), P. 1 - 1

Published: Dec. 24, 2024

Climate change is a global challenge that impacts rangeland and pastureland landscapes by inducing shifts in temperature variability, precipitation patterns, extreme weather events. These changes alter soil plant conditions, reducing forage availability chemical composition leading to nutritional stress cattle. This occurs when animals lack adequate water feed sources or these resources are insufficient quantity, composition, nutrient balance. Several strategies essential address impacts. Genetic selection, epigenetic biomarkers, exploration of memories present promising avenues for enhancing the resilience cattle populations improving adaptation environmental stresses. Remote sensing GIS technologies assist locating wet spots establish islands diversity high quality grazing amid ongoing climate challenges. Establishing functional improves quality, reduces carbon nitrogen footprints, provides nutrients bioactives, thus health, welfare, productivity. Real-time GPS collars coupled with accelerometers provide detailed data on movement activity, aiding livestock nutrition management while mitigating heat stress. Integrating may offer significant advantages facing changing world securing future production food system.

Language: Английский

Citations

1
Vegetation restoration potential in China's drylands under water constraint DOI Open Access
Huiqing Lin, Yan Li, Lisheng Song

et al.

Authorea (Authorea), Journal Year: 2024, Volume and Issue: unknown

Published: June 25, 2024

As an essential pathway for nature-based solutions, vegetation restoration can effectively absorb carbon sequestration and mitigate global warming. However, the excessive water consumption by expansion may create potential conflicts between natural ecosystems human systems, even exacerbate local shortages, especially in water-limited dryland regions. By evaluating availability using multiple datasets, this study explored allowable conversion China’s drylands under constraint of availability. We found that additional resources available were 2.7 ± 11 mm (median SD) from 2003 to 2018 but it decreased over period (-1.15 yr-1). 45.0% area had deficits, after considering existing consumption. Under current constraints, gross primary productivity (GPP) could be restored ranged 4% 7% depending on types (7.1% forests, 6.1% grasslands, 4.3% irrigated crops, 5.6% rain-fed crops). In surplus areas, primarily south east drylands, most conversions toward higher-water-consumption allowed occur. deficit west converting all less water-intensive would not compensate regions, suggesting have exceeded water-carrying capacity. Our research highlights importance provides guidance decision-making while ensuring sustainability.

Language: Английский

Citations

0
Impact of Extreme Climate Indices on Vegetation Dynamics in the Qinghai–Tibet Plateau: A Comprehensive Analysis Utilizing Long-Term Dataset DOI Creative Commons
Hanchen Duan,

Beiying Huang,

Shulin Liu

et al.

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

Citations

0