Agricultural and Forest Meteorology, Год журнала: 2025, Номер 367, С. 110520 - 110520
Опубликована: Март 31, 2025
Язык: Английский
ISPRS Journal of Photogrammetry and Remote Sensing, Год журнала: 2024, Номер 217, С. 149 - 164
Опубликована: Авг. 29, 2024
Язык: Английский
Процитировано
33
Current Climate Change Reports, Год журнала: 2024, Номер 11(1)
Опубликована: Окт. 2, 2024
Язык: Английский
Процитировано
26
International Journal of Applied Earth Observation and Geoinformation, Год журнала: 2022, Номер 114, С. 103064 - 103064
Опубликована: Окт. 18, 2022
Understanding the variation of autumn phenology and its climatic drivers is important for predicting terrestrial carbon cycles in temperate grasslands China. Using meteorological data GIMMS NDVI during 1982–2015, this study analyzed variations end date vegetation growing season (EOS) their relationships with climate The results showed that EOS was delayed by 1.62 days/decade across For different grassland types, 1.65, 1.66, 1.34 meadows, steppes, desert respectively. In terms change effects, increasing summer precipitation temperatures crucial delaying increase could delay EOS, especially whereas significantly meadows. addition, we found influences nighttime daytime warming on were asymmetric. Specifically, maximum temperature meadows minimum steppes had a weakly advancing effect Our highlights distinct monthly types indicates impacts should be included simulating ecosystems arid/semi-arid regions.
Язык: Английский
Процитировано
54
International Journal of Applied Earth Observation and Geoinformation, Год журнала: 2024, Номер 127, С. 103664 - 103664
Опубликована: Янв. 21, 2024
Recently, the warm–wet tendency in northwestern China has become a hot research topic. How does vegetation change under this tendency, and what are impacts of climate on vegetation? To address these questions, dynamic variations their relationships with five factors (i.e., Pre: precipitation, Tmp: temperature, SM: root zone soil moisture, Vap: vapor pressure, Pet: potential evapotranspiration) across Xinjiang comprehensively analyzed during period 1982–2021. The spatiotemporal using normalized difference index (NDVI) leaf area (LAI), employing Mann–Kendall (M−K) empirical orthogonal function (EOF) approaches. key findings indicate that significant greening trend is observed, value 0.00226 m2m-2year−1 according to annual LAI. For seasonal variations, had largest increasing summer (JJA: June, July, August) compared other seasons, values 0.000876 year−1 0.00382 for NDVI LAI, respectively (p < 0.05). spring (MAM: March, April, May) growing season (GS) also have trends based Spatially, approximately 40 % areas an trend, indicating which mainly distributed mountainous Xinjiang. EOF results suggest trend. significantly positively correlated factors, illustrates positive influence vegetation. Our study helps better understand long-term provides important scientific basis net primary production (NPP) carbon cycle
Язык: Английский
Процитировано
16
Remote Sensing, Год журнала: 2022, Номер 14(24), С. 6271 - 6271
Опубликована: Дек. 10, 2022
Vegetation is the main body of terrestrial ecosystem and a significant indicator environmental changes in regional ecosystem. As an essential link connecting South Asia Southeast Asia, Lancang-Mekong River Basin(LMRB) can provide data support decision-making basis for assessment research management hydrology water resources basin by monitoring its vegetation cover. This study takes Basin as area, employs Sen slope estimation, Mann–Kendall test, Hurst exponent based on MODIS NDVI from 2000 to 2021 spatial temporal evolution trend future sustainability NDVI. Besides, nonlinear characteristics such mutation type year are detected analyzed using BFAST01 method. Results demonstrated that: (1) In past 22 years, generally exhibited fluctuating upward trend, value was largest, which 0.825, showing increase 4.29% compared with 2000. However, rate different: China has most considerable growth 7.25%, followed Thailand 7.21%, Myanmar Laos third, while Cambodia Vietnam have relatively stable changes. The overall performance high south low north, dominated coverage, area coverage exceeding 0.8 accounts 62%. (2) Sen-MK showed that 2021, where decrease accounted 66.59% 18.88%, respectively. indicated areas will continue increase, decrease, remain unchanged account 60.14%, 25.29%, 14.53%, respectively, development uncertain, accounting 0.04%. Thus, more attention should be paid descending trend. (3) eight types over years. mutations mainly occurred 2002–2018, 2002–2004 2014–2018 were frequent periods breakpoints. “interruption: negative break” changed during this period, 36.54%, smallest “monotonic (with break)”, only 0.65%. demonstrates combining conventional analysis method BFAST test accurately analyze spatiotemporal variation NDVI, thus providing scientific reference develop ecological environment-related work.
Язык: Английский
Процитировано
30
The Science of The Total Environment, Год журнала: 2024, Номер 933, С. 173155 - 173155
Опубликована: Май 11, 2024
Язык: Английский
Процитировано
7
Ecological Indicators, Год журнала: 2025, Номер 171, С. 113214 - 113214
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
1
Frontiers in Earth Science, Год журнала: 2023, Номер 11
Опубликована: Июнь 23, 2023
Climate change has led to an increase in the frequency of extreme events, such as droughts and floods. This study aims review literature on newly proposed phenomenon known drought-flood abrupt alternation (DFAA). A comprehensive summary is provided round up numerous approaches employed identify DFAA well its mechanisms impacts. To provide a reference for responding managing emerging intensity we conclude paper by listing insufficiency current research suggesting possible future directions. As impact DFAA, besides loss life property which can be caused any natural disaster, event severely threatens food security making lasting profound land productivity through alteration combining conditions water, soil, temperature. directions, existing indexes developed identification should improved downscaling temporal spatial scale, with interactions neighboring drought flood events taken into consideration. What’s more, better protect human society from losses researches accurate prediction are encouraged.
Язык: Английский
Процитировано
14
Scientific Reports, Год журнала: 2024, Номер 14(1)
Опубликована: Апрель 16, 2024
Abstract Previous studies have primarily focused on the influence of temperature and precipitation phenology. It is unclear if easily ignored climate factors with drivers vegetation growth can effect In this research, we conducted an analysis start (SOS) end (EOS) growing seasons in northern region China above 30°N from 1982 to 2014, focusing two-season We examined response phenology different types preseason climatic factors, including relative humidity (RH), shortwave radiation (SR), maximum (Tmax), minimum (Tmin). Our findings reveal that optimal influencing length fell within range 0–60 days most areas. Specifically, SOS exhibited a significant negative correlation Tmax Tmin 44.15% 42.25% areas, respectively, while EOS displayed SR 49.03% Additionally, identified RH emerged as dominant factor savanna (SA), whereas strongly controlled deciduous needleleaf forest (DNF) broadleaf (DBF). Meanwhile, DNF was influenced by Tmax. conclusion, study provides valuable insights into how various adapt change, offering scientific basis for implementing effective adaptation measures.
Язык: Английский
Процитировано
6
Agricultural and Forest Meteorology, Год журнала: 2024, Номер 355, С. 110122 - 110122
Опубликована: Июнь 14, 2024
Язык: Английский
Процитировано
6