Natural Hazards, Journal Year: 2023, Volume and Issue: 119(1), P. 387 - 408
Published: Aug. 17, 2023
Language: Английский
Remote Sensing, Journal Year: 2023, Volume and Issue: 15(18), P. 4542 - 4542
Published: Sept. 15, 2023
Understanding the response of vegetation to temperature extremes is crucial for investigating growth and guiding ecosystem conservation. North China a vital hub China’s economy food supplies, its highly vulnerable complex heatwaves. In this study, based on remote sensing data, i.e., normalized difference index (NDVI), spatio-temporal variations in extreme high temperatures are investigated by using methods trend analysis, linear detrending, Pearson correlation ridge regression. The impacts extreme-high-temperature events different types from 1982 2015 explored multiple time scales. results indicate that NDVI exhibits an overall increasing both annual monthly scales, with highest values forest fastest cropland. Meanwhile, also display trend. Before correlations between certain indices not significant, while significant negative observed after detrending. On scale, negatively correlated indices, except number warm nights, whereas, these only found June September. Grassland shows relatively strong all forests show nonsignificant indices. This study offers new insight into dynamic their responses climate China.
Language: Английский
Citations
8
International Journal of Climatology, Journal Year: 2021, Volume and Issue: 42(2), P. 691 - 713
Published: June 24, 2021
Abstract The Okavango River Basin (ORB) is a highly sensitive and biodiverse region in southern Africa whose climate, vegetation river discharge characteristics are not well understood. This study investigated relationships between rainfall, temperature, Normalized Difference Vegetation Index (NDVI) over the as their trends interannual variability. It found that spatial patterns of NDVI closely related to those but less so with temperature at monthly seasonal time scales. rainfall/temperature differ north 18.9°S where rainfall higher than its south. Typically, there lags 1–2‐months either or temperature. Also, large areas across show significant warming all seasons wetting (mainly north). increasing trend surface may act worsen impacts extreme events such severe drought fire region. There also pronounced variability correlations El Niño‐Southern Oscillation (ENSO), subtropical South Indian Ocean Dipole Botswana High for ENSO. For Southern Annular Mode, were only December April. On longer scales, focus was placed on wet 2006–2013 period relative much drier 1999–2005 epoch October–December. wetter conditions during appear La Niña Modoki warmer sea near Angola regional circulation differences.
Language: Английский
Citations
18
Land, Journal Year: 2022, Volume and Issue: 11(7), P. 975 - 975
Published: June 26, 2022
Alpine vegetation on the Southwestern Tibetan Plateau (SWTP) is sensitive and vulnerable to climate change human activities. Climate warming actions (mainly ecological restoration, social-economic development, grazing) have already caused degradation of alpine grasslands (TP) some extent. However, it remains unclear how activities regulated variation under restoration since 2000. This study used normalized difference index (NDVI) social statistic data explore spatiotemporal changes relationship between NDVI climatic change, activities, grazing intensity. The results revealed that increased by 0.006/10a from 2000 2020. Significant greening, mainly distributed in Rikaze, with partial browning, has been found SWTP. correlation analysis showed precipitation most critical factor affecting spatial distribution NDVI, correlated positively temperature parts We co-affected SWTP, leading greening intensity were negatively correlated, provides practical support for grassland use, management, regional sustainable development TP similar areas.
Language: Английский
Citations
12
Atmosphere, Journal Year: 2022, Volume and Issue: 13(12), P. 2010 - 2010
Published: Nov. 30, 2022
Rapid urbanisation, economic growth, and urban spatial development in developing countries, such as Iran, have resulted tremendous loss of green cover associated ecological problems. Any effort to achieve sustainable should be supported by recognising evaluating the health vegetation cover. This study investigates reduction changes Tehran Metropolis, Iran identifies most important factors influencing observed changes. The aim this is two-fold: first, assess spatio-temporal between 1990 2020, second, identify contributing Normalised Difference Vegetation Index (NDVI) used an indicator statistical data were extracted from Landsat satellite imagery last approved Master Plan (2006). Geographically Weighted Regression (GWR) geographical modelling methods employed analyse all municipal districts metropolis. results show that density metropolis decreased significantly (from 38,936.80 hectares 4663.23 hectares) 2020. expansion construction lands increase population significant affecting Tehran. In contrast, growth industrial units areas had no relationship with can help planners understand drivers appropriate interventions prevent it.
Language: Английский
Citations
12
Natural Hazards, Journal Year: 2023, Volume and Issue: 119(1), P. 387 - 408
Published: Aug. 17, 2023
Language: Английский
Citations
7