International Journal of Biometeorology, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 5, 2024
Language: Английский
Remote Sensing, Journal Year: 2025, Volume and Issue: 17(2), P. 316 - 316
Published: Jan. 17, 2025
The ecosystem water use efficiency (WUE) plays a critical role in many aspects of the global carbon cycle, management, and ecological services. However, response mechanisms driving processes WUE need to be further studied. This research was conducted based on Gross Primary Productivity (GPP), Evapotranspiration (ET), meteorological station data, land use/cover methods Ensemble Empirical Mode Decomposition (EEMD), trend variation analysis, Mann–Kendall Significant Test (M-K test), Partial Correlation Analysis (PCA) methods. Our study revealed spatio-temporal its influencing mechanism Yellow River Basin (YRB) compared differences change before after implementation Returned Farmland Forestry Grassland Project 2000. results show that (1) YRB showed significant increase at rate 0.56 × 10−2 gC·kg−1·H2O·a−1 (p < 0.05) from 1982 2018. area showing (47.07%, Slope > 0, p higher than with decrease (14.64%, 0.05). region 2000–2018 (45.35%, 1982–2000 (8.23%, 0.05), which 37.12% comparison. (2) Forest (1.267 gC·kg−1·H2O) Cropland (0.972 (0.805 under different cover types. has highest (0.79 gC·kg−1·H2O·a−1) 2000 increased by 0.082 gC·kg−1·H2O (3) precipitation (37.98%, R SM (10.30%, are main climatic factors affecting YRB. A total 70.39% exhibited an increasing trend, is mainly attributed simultaneous GPP ET, ET. could provide scientific reference for policy decision-making terrestrial cycle biodiversity conservation.
Language: Английский
Citations
0
Forest Ecology and Management, Journal Year: 2025, Volume and Issue: 585, P. 122528 - 122528
Published: March 23, 2025
Language: Английский
Citations
0
Water, Journal Year: 2024, Volume and Issue: 16(17), P. 2416 - 2416
Published: Aug. 27, 2024
Ecological protection in the Yellow River Basin (YRB) is a major strategy for China’s sustainable development. Amid global warming, droughts have occurred more frequently, severely affecting vegetation growth. Based on Standardized Precipitation Evapotranspiration Index (SPEI) and Normalized Difference Vegetation (NDVI) at different time scales from 2003 to 2020, this study employed linear trend method Spearman correlation coefficient calculate trends coefficients of NDVI SPEI pixel scale explored spatial distribution pattern sensitivity growth YRB drought. The results show that: (1) are positively correlated 77% area, negatively 9%, arid semi-arid areas, while humid subhumid areas. significant negative between drought high altitudes may be due fact that Gramineae sensitive drought, with heat being affected than water. (2) Urbanization has relatively obvious impact Extreme mainly occurs middle upper reaches Wei River; severe central area Guanzhong Plain centered Xi’an; Loess Plateau; surrounding areas Zhengzhou-centered Central Plains City Group. (3) showed an upward indicating increase density or expansion coverage. From temporal trend, decreased rate −0.17/decade, entire watershed annual scale. (4) Spring water supply provided by SPEI-1, positive begins rise June its peak July, then starts decline August. In autumn winter, 3–6-month accumulated (5) dynamic transmission laws levels correlation, 3-month most significant, influence SPEI-1 significant. This paper aims clarify time-scale droughts, provide basis alleviating YRB, promote development ecological environmental protection. research findings enable us gain profound insight into responsiveness context warming offer valuable theoretical foundation devising pertinent measures alleviate stress regions prone frequent droughts.
Language: Английский
Citations
1
Forest Ecosystems, Journal Year: 2024, Volume and Issue: 12, P. 100275 - 100275
Published: Nov. 16, 2024
Language: Английский
Citations
1
Published: Jan. 1, 2024
Language: Английский
Citations
0
Published: Jan. 1, 2024
Language: Английский
Citations
0
Environmental Development, Journal Year: 2024, Volume and Issue: 51, P. 101033 - 101033
Published: July 15, 2024
Language: Английский
Citations
0
Sustainability, Journal Year: 2024, Volume and Issue: 16(14), P. 6245 - 6245
Published: July 22, 2024
Vegetation phenology is a biological factor that directly or indirectly affects the dynamic equilibrium between water and carbon fluxes in ecosystems. Quantitative evaluations of regulatory mechanisms vegetation on water–carbon coupling are great significance for neutrality sustainable development. In this study, interannual variation partial correlation (the start growing season (SOS), end (EOS), length (LOS)) ET (evapotranspiration), GPP (gross primary productivity), WUE (water use efficiency; index) Huang-Huai-Hai Yangtze River Basins China from 2001 to 2019 were systematically quantified. The response patterns spring (autumn) SOS, EOS, LOS, as well interpretation rate changes, evaluated. Further analysis was conducted differences across different river basins. results showed during growth season, greatly influenced by phenology. Due increases caused extending For example, an extended LOS basins reduced WUE, while Basin, it increased WUE. After 1 day, 3.01–4.79 mm 4.22–6.07 gC/m2, respectively, decreased 0.002–0.008 gC/kgH2O. indicates compared ET, early SOS (longer LOS) Yellow Hai led greater increase GPP, therefore weakening This suggests phenological changes may ineffective arid, semi-arid, semi-humid areas further exacerbate drought. humid dominated improved local efficiency.
Language: Английский
Citations
0
Remote Sensing, Journal Year: 2024, Volume and Issue: 16(15), P. 2843 - 2843
Published: Aug. 2, 2024
The Shendong Mining Area, being the largest coal base in world, has significant challenges intensive development and utilization of resources, as well impact a dry climate, which can have serious negative effects on growth flora region. Investigating spatial temporal patterns how meteorological drought affects vegetation Area at various time scales offer scientific foundation for promoting sustainable ecological restoration This study utilizes Standardized Precipitation Evapotranspiration Index (SPEI) Normalized Difference Vegetation (NDVI) data from 1986 to 2020 Area. It employs Slope trend analysis, Mann–Kendall test, Geographic Detector, other methods examine spatiotemporal distribution characteristics scales. Additionally, investigates influence these Across mining area, there was general decrease monthly average SPEI an annual basis. However, seasonal, semi-annual, basis, gradual increase SPEI, with higher rate southern region compared northern When considering variation different seasons, both positive trends were observed winter summer. mainly western part while eastern part. In spring, area generally experienced drought, autumn, it more precipitation. exhibits prevailing vegetation, greater extent southeast lesser northwest. coverage near mine is insufficient, resulting low NDVI value, makes prone drought. Over past few years, coverage, indicating successful efforts. Various forms land use exhibit distinct responses forests displaying most correlation barren strongest correlation. types landforms varying Loess ridge hill demonstrate pronounced association monthly-scale values, whereas alluvial floodplain display poorest yearly scale values. findings this research be summarized follows: (1) pattern increased humidity, pace humidity having intensified recent times. Seasonal variations consistent cyclic patterns. (2) There are regional disparities notable peak decline majority recovery. (3) Regional element that influences changes Nevertheless, displays complexity obviously impacted by factors small scale. (4) should noted exert despite their relatively coverage. predominant type locations grasslands; however, they minor SPEI. (5) A shorter period, elevation, steeper slope gradient all contribute larger
Language: Английский
Citations
0
International Journal of Biometeorology, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 5, 2024
Language: Английский
Citations
0