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  • Wiley  (7)
  • Geography  (7)
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  • Geography  (7)
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  • 1
    Online Resource
    Online Resource
    Multi‐model analysis of climate impacts on plant photosynthesis in China during 2000–2015
    Wiley ; 2019
    In:  International Journal of Climatology Vol. 39, No. 15 ( 2019-12), p. 5539-5555
    Details
    In: International Journal of Climatology, Wiley, Vol. 39, No. 15 ( 2019-12), p. 5539-5555
    Abstract: Differences, arising from differences in gross primary production (GPP) model structures and driving forces, have fuelled arguments concerning interannual changes of GPP in China since 2000. To better investigate the interannual variability of GPP and its covariance with climate factors in China, this study adopted a multi‐model analysis based on three GPP models (i.e., Terrestrial Ecosystem Carbon flux model [TEC], Breathing Earth System Simulator model [BESS] , and MOD17 GPP model). The results show that annual GPP in China increased by 0.021–0.057 Pg C year −1 from 2000 to 2015 attributable to atmospheric‐CO 2 fertilization effects and favourable climate change, that is, increasing precipitation ( P r ) and temperature ( T a ). However, northern China and southern China had a large difference in the amplitude of these GPP changes; annual GPP increased by 0.017–0.039 Pg C year −1 in northern China but only 0.001–0.018 Pg C year −1 in southern China. Northern China and southern China occupy contrasting climate zones and this contrast produced different interannual variability of GPP through different mechanisms. Northern China has a dry climate with GPP changes sensitive to P r . As a result, more P r along with higher T a in northern China produced the strong uptrend of GPP from 2000 to 2015. In contrast, southern China has a wet climate with its GPP sensitive to solar radiation and T a . For the interval of 2000–2015, decreasing radiation plus drought exerted a negative influence on GPP in southern China. This study highlights the diverse mechanisms in which climate change affects GPP in dry and wet climate zones. A robust multi‐model analysis is preferred to reduce uncertainties arising from a single GPP model and its driving data.
    Type of Medium: Online Resource
    ISSN: 0899-8418 , 1097-0088
    URL: Issue
    URL: Article
    DOI: 10.1002/joc.v39.15
    DOI: 10.1002/joc.6170
    RVK:
    RA 1000
    Language: English
    Publisher: Wiley
    Publication Date: 2019
    detail.hit.zdb_id: 1491204-1
    SSG: 14
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    Online Resource
  • 2
    Online Resource
    Online Resource
    Weakened western Pacific teleconnection pattern caused a decrease in spring persistent rainfall in north of 26°N over Southeast China
    Wiley ; 2023
    In:  International Journal of Climatology Vol. 43, No. 9 ( 2023-07), p. 4337-4346
    Details
    In: International Journal of Climatology, Wiley, Vol. 43, No. 9 ( 2023-07), p. 4337-4346
    Abstract: The spring persistent rainfall (SPR) is a unique synoptic and climatic phenomenon before the onset of the Asian summer monsoon over Southeast China (SEC). The warming climate has caused notable interdecadal changes of various climate systems, such as the Asian summer monsoon. However, it is still unclear whether there is a regime shift within the SPR band. To fill this knowledge gap, the boreal spring (March–May) rainfall data across SEC from the Climate Research Unit TS 4.05 are used herein to reveal its spatio‐temporal variations for 1951–2019 with the empirical orthogonal function (EOF) analysis. The EOF1 pattern exhibits a spatial monotonic variability of the SPR over SEC, which is jointly impacted by the El Niño‐Southern Oscillation and the Arctic Oscillation. The EOF2 pattern, a south–north dipole pattern, highlights a marked decrease (increase) of the SPR approximately to north (south) of the 26°N. We find that the decrease in the northern SPR band is closely modulated by western Pacific teleconnection pattern (WPP). Recent weakening WPP is coincident with a decline of the East Asian subtropical jet over this area, causing anomalous descending motions and thus accounts for persistent decline of the SPR over north of 26°N.
    Type of Medium: Online Resource
    ISSN: 0899-8418 , 1097-0088
    URL: Issue
    URL: Article
    DOI: 10.1002/joc.v43.9
    DOI: 10.1002/joc.8090
    RVK:
    RA 1000
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 1491204-1
    SSG: 14
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    Online Resource
  • 3
    Online Resource
    Online Resource
    Adsorption Kinetics of Glyphosate and Copper(II) Alone and Together on Two Types of Soils
    Wiley ; 2009
    In:  Soil Science Society of America Journal Vol. 73, No. 6 ( 2009-11), p. 1995-2001
    Details
    In: Soil Science Society of America Journal, Wiley, Vol. 73, No. 6 ( 2009-11), p. 1995-2001
    Abstract: Glyphosate [ N ‐(phosphonomethyl)glycine] is a nonselective, postemergence herbicide that contains multiple functional groups, which can form strong coordination with metal cations to give bidentate and tridentate complex es. The complexation of glyphosate with metal cations may affect their distribution and bioavailability in soils. Adsorption kinetics of glyphosate and Cu(II) alone and together were studied using a continuous flow experimental setup on two soils with different characteristics at pH5.5. Four kinetic models, i.e., the Lagergren first‐order, pseudo‐second‐order, Elovich, and power function equations, were successfully used to describe their adsorption kinetics. Among the four models, the Lagergren first‐order kinetic model fit the experimental data of glyphosate and Cu(II) adsorption the best. Glyphosate significantly increased the adsorption quantity of Cu(II) on the Red soil (a Hapludult or Udic Ferrosol), due to the fact that Cu(II) was adsorbed on the sites where glyphosate had been strongly adsorbed. Glyphosate decreased the adsorption of Cu(II) on the Wushan soil (a Haplaquept or Anthrosol), however, because adsorption of glyphosate on this soil was weak and the complex of glyphosate and Cu(II) tended to be highly soluble in water, thus preventing Cu(II) from exchanging with Ca 2+ and Mg 2+ ions on the soil surface. On the other hand, the presence of Cu(II) decreased the adsorption of glyphosate on both soils, which may be attributed to the lower affinity of the Cu(II)–glyphosate complex to the soils than glyphosate alone.
    Type of Medium: Online Resource
    ISSN: 0361-5995 , 1435-0661
    URL: Article
    DOI: 10.2136/sssaj2008.0360
    RVK:
    RA 4845
    Language: English
    Publisher: Wiley
    Publication Date: 2009
    detail.hit.zdb_id: 241415-6
    detail.hit.zdb_id: 2239747-4
    detail.hit.zdb_id: 196788-5
    detail.hit.zdb_id: 1481691-X
    SSG: 13
    SSG: 21
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    Online Resource
  • 4
    Online Resource
    Online Resource
    Effects of Soil/Solution Ratios and Cation Types on Adsorption and Desorption of Tetracycline in Soils
    Wiley ; 2010
    In:  Soil Science Society of America Journal Vol. 74, No. 5 ( 2010-09), p. 1553-1561
    Details
    In: Soil Science Society of America Journal, Wiley, Vol. 74, No. 5 ( 2010-09), p. 1553-1561
    Abstract: The adsorption and desorption behavior of tetracycline on an Alfisol and an Ultisol was investigated at varying soil/solution ratios (1:10, 1:50, and 1:100) and different cation types (CaCl 2 , KCl, and NaCl) and H 2 O using a batch equilibration experiment. Kinetic studies revealed that the adsorption of tetracycline on the two soils was rate limited, and the adsorption kinetics could be well described by the Elovich equation and exponent equation. Changes in the soil/solution ratio affected the relative equilibration time in the Ultisol, but there was no effect of the initial tetracycline concentration. The adsorption rate in the soils decreased as the soil/solution ratio increased from 1:50 to 1:10. The adsorption and desorption data on tetracycline in the two soils could be described by the Freundlich isotherm equation, with r values 〉 0.952 under all experimental treatments. The Ultisol always had stronger adsorption (higher distribution coefficient [ K d ] value) than the Alfisol under all experimental conditions. The K d values decreased with increasing soil/solution ratios in the two tested soils at 1 or 1.25 mg L −1 of tetracycline; however, this trend did not occur at 25 mg L −1 of tetracycline. The adsorption isotherm had an S‐type curve that changed into an L‐type curve with decreasing soil/solution ratios from 1:10 to 1:100. The presence of cations in the soil solution, especially CaCl 2 , can significantly reduce the adsorption of tetracycline in soils. The presence of cations also significantly reduced the nonlinearity of the adsorption isotherms.
    Type of Medium: Online Resource
    ISSN: 0361-5995 , 1435-0661
    URL: Article
    DOI: 10.2136/sssaj2009.0402
    RVK:
    RA 4845
    Language: English
    Publisher: Wiley
    Publication Date: 2010
    detail.hit.zdb_id: 241415-6
    detail.hit.zdb_id: 2239747-4
    detail.hit.zdb_id: 196788-5
    detail.hit.zdb_id: 1481691-X
    SSG: 13
    SSG: 21
    Location Call Number Limitation Availability
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    Online Resource
  • 5
    Online Resource
    Online Resource
    Bias‐corrections on aridity index simulations of climate models by observational constraints
    Wiley ; 2022
    In:  International Journal of Climatology Vol. 42, No. 2 ( 2022-02), p. 889-907
    Details
    In: International Journal of Climatology, Wiley, Vol. 42, No. 2 ( 2022-02), p. 889-907
    Abstract: Aridity Index (AI) indicates the balance between water supply and water demand on the atmosphere–land interface. Despite continuous improvements, coupled climate models still have significant systematic errors in simulating AI in terms of temporal and spatial variabilities. One of the approaches to bias‐correct simulations is extracting the linear relationship between historical observations and model outputs by utilizing the empirical orthogonal function (EOF). In this study, the methodology of ensemble EOF‐based bias‐correction by observational constraints is developed based on previous bias‐correction approach, with the improvement on seeking the optimal combinations of the leading modes with sensitivity test and replacing the certain correction with the ensemble means of optimal members. In verification, the ensemble mean of Coupled Model Intercomparison Project phase 5 (CMIP5‐EM) is bias‐corrected towards the CPC/GLDAS observations, and the extracted leading modes present high correlations with internal climate variability. By cross‐validation and posteriori independent validation of hindcasts over the historical period (1948–2005), the ensemble EOF‐based bias‐correction could better present spatial patterns compared to the CMIP5‐EM after systematic bias‐correction, as indicated by the anomaly correlation and the root mean square error. The verifications also indicate that the temporal variability in aridity over different dryland regions is much closer to that in the observations and that the dryland subtype changes are improved significantly by bias‐corrections. Besides, another observational dataset of UDel/CRU is applied to assess the uncertainty on different datasets and the improvement on skill scores is robust. The above results verify that the ensemble EOF‐based bias‐corrections provide better reference for assessing and projecting global aridity changes by climate models.
    Type of Medium: Online Resource
    ISSN: 0899-8418 , 1097-0088
    URL: Issue
    URL: Article
    DOI: 10.1002/joc.v42.2
    DOI: 10.1002/joc.7279
    RVK:
    RA 1000
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 1491204-1
    SSG: 14
    Location Call Number Limitation Availability
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    Online Resource
  • 6
    Online Resource
    Online Resource
    Changes of temperature and precipitation extremes in a typical arid and semiarid zone: Observations and multi‐model ensemble projections
    Wiley ; 2020
    In:  International Journal of Climatology Vol. 40, No. 12 ( 2020-10), p. 5128-5153
    Details
    In: International Journal of Climatology, Wiley, Vol. 40, No. 12 ( 2020-10), p. 5128-5153
    Abstract: The spatiotemporal changes of temperature and precipitation extremes in a typical arid and semiarid zone (Gansu Province, China) were investigated, including the latest observations (1960–2016) and the National Aeronautics and Space Administration Earth Exchange Global Daily Downscaled Projections (NEX‐GDDP) dataset that provides statistically downscaled Coupled Model Inter‐comparison Project Phase 5 (CMIP5) future climate projections (2017–2099) based on the Mann–Kendall test, linear regression, 5‐year smoothed average and Bayesian model average (BMA) methods. The results show the following: (a) Apart from a slight decrease of diurnal temperature range (DTR), other temperature extreme indices presented significant trends over 1960–2016. Annual regional nighttime temperature increased at a faster rate than daytime temperature. In the seasonal series, cool nights (TN10p) and cool days (TX10p) showed significant decreases and warm nights (TN90p) and warm days (TX90p) significantly increased in all seasons. (b) Precipitation extreme indices showed decreasing trends, except for the max 1‐day precipitation (RX1DAY) and simple daily intensity index (SDII) with a weaker coherence of spatial patterns. From the perspective of spatial characteristics, the western area had an increasing trend of total precipitation while the east had a significant decreasing trend. In the seasonal series, a significant increase of RX1DAY and the max 5‐day precipitation (RX5DAY) was found in winter, as compared with spring, summer and autumn. (c) Positive trends in warm indices (i.e., summer days, tropical days, warm nights and warm days) and negative trends in cold indices (i.e., frost days, ice days, cool nights and cool days) can be observed in the 21st century. A slightly decreasing consecutive dry days (CDD), together with obviously increasing heavy precipitation days (R10), extremely wet days (R99p), RX5DAY and SDII, suggests more extreme precipitation for 2017–2099. The results are of practical use in improving regional strategies for water resources and eco‐environment management, especially for arid and semiarid regions.
    Type of Medium: Online Resource
    ISSN: 0899-8418 , 1097-0088
    URL: Issue
    URL: Article
    DOI: 10.1002/joc.v40.12
    DOI: 10.1002/joc.6510
    RVK:
    RA 1000
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 1491204-1
    SSG: 14
    Location Call Number Limitation Availability
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    Online Resource
  • 7
    Online Resource
    Online Resource
    Variations of air temperature differences at different temporal scales over the Tibetan Plateau since 1961 and their possible causes
    Wiley ; 2023
    In:  International Journal of Climatology
    Details
    In: International Journal of Climatology, Wiley
    Abstract: The air temperature difference is an essential indicator to measure weather and climate change. The Tibetan Plateau (TP) is a sensitive area to global climate change. The study on its temperature difference variations is of great significance for further understanding the evolution of weather and climate systems, and scientific disaster prevention and mitigation. In this study, the spatio‐temporal evolution characteristics of the temperature difference on daily, monthly, seasonal and annual scales and their possible causes are analysed based on the daily observations at 59 meteorological stations over the TP from 1961 to 2020 and the circulation indexes such as the East Asian summer monsoon, South Asian summer monsoon, midlatitude westerly and TP summer monsoon. The results indicate that the diurnal temperature range (DTR) on the TP tends to decrease from 1961 to 2020. Compared with the situation in the late 20th century, the annual average of the DTR in the eastern TP turns from a nonsignificant increasing trend into a pronounced decreasing trend, while that in the western TP maintains a decreasing trend. This phenomenon is primarily influenced by the minimum and maximum temperature, precipitation and atmospheric circulations. The standardized temperature difference at different temporal scales shows decreasing trends and is distributed in north–south and east–west distribution patterns. The annual temperature range is mainly influenced by the remarkable increase of the minimum temperature, especially in the northern and southeastern TP. Besides, the increases of maximum temperature and precipitation also affect the annual temperature range. In terms of the seasonal temperature range, it is dramatically influenced by different meteorological factors, especially in the northern TP. The monthly temperature range (Mon‐TR) is dramatically influenced by the maximum and minimum temperature in the first and second half years, respectively. Moreover, the circulation systems, such as the midlatitude westerly, South Asian summer monsoon and TP summer monsoon, are the main influencing factors of the temperature difference variations on the TP. The midlatitude westerly have a large influence on Mon‐TR in June and September, and the significantly influenced stations reaches 54.2% and 35.6%. The impact stations of the TP summer monsoon on Mon‐TR is the largest in August, and the significantly influenced stations is 39%. In July, the influenced stations of the TP summer monsoon and South Asian summer monsoon on the Mon‐TR reaches 30.5%–33.9%. The influenced area of the Mon‐TR in June is largest affected by single summer monsoon or westerly index. Previous studies have shown that the warming mechanisms and their influencing factors have changed in the TP since the 21st century. The study results might provide the foundation for a scientific understanding of climate warming on the TP.
    Type of Medium: Online Resource
    ISSN: 0899-8418 , 1097-0088
    URL: Article
    DOI: 10.1002/joc.8177
    RVK:
    RA 1000
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 1491204-1
    SSG: 14
    Location Call Number Limitation Availability
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    Online Resource
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