Journal of Hydrology, Journal Year: 2024, Volume and Issue: unknown, P. 132544 - 132544
Published: Dec. 1, 2024
Language: Английский
Journal of Hydrology, Journal Year: 2024, Volume and Issue: unknown, P. 132544 - 132544
Published: Dec. 1, 2024
Language: Английский
The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 916, P. 169896 - 169896
Published: Jan. 6, 2024
Widespread shrubification across the Arctic has been generally attributed to increasing air temperatures, but responses vary species and sites. Wood structures related plant hydraulic architecture may respond local environmental conditions potentially impact shrub growth, these relationships remain understudied. Using methods of dendroanatomy, we analysed ring width (RW) xylem anatomical traits 80 individuals Salix glauca L. Betula nana at a snow manipulation experiment in Western Greenland. We assessed how their differed between treatments (increased versus ambient depth) soil moisture regimes (wet dry). Despite an increase depth due fences (28-39 %), neither RW nor either showed significant this increase. In contrast, irrespective treatment, specific conductivity (Ks) earlywood vessel size (LA95) for study period were larger S. (p < 0.1, p 0.01) B. 0.01, 0.001) wet than dry site, while both had groups site 0.01). was higher 0.01), no differences observed glauca. Additionally, Ks LA95 different trends over period, with decreases 0.001), other difference observed. Our results indicate that, taking into account ontogenetic allometric trends, species, along influenced by moisture. These findings suggest that regime, not cover, determine future climate change thus add heterogeneity dynamics, though more long-term species- site- studies are needed.
Language: Английский
Citations
2Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 54, P. 101901 - 101901
Published: July 29, 2024
The Heihe River source area in the Northeastern Qinghai-Tibetan Plateau, China. Soil evaporation, which is a key process soil water loss, influenced by various environmental factors. However, identification of its main drivers on large scale alpine mountains remains challenging due to sampling constraints. This study examined spatial distribution evaporation and control factors during growing season area. results indicated that represented lc-excess values, gradually increased from southeast northwest, then decreased, reaching depth 50 cm below surface. Although normalized difference vegetation index explained 54 % variation interaction between land surface temperature content (SWC) provided more robust explanation. losses exhibited following pattern: cropland > grassland forest shrubland. In shrubland, SWC precipitation 68 73.3 variations respectively. Grassland mainly relied SWC, with 49.33 unexplained variability Meanwhile, aridity aspect 45 44.6 cropland. These findings invaluable information for advancing our understanding ecohydrological processes mountains.
Language: Английский
Citations
2The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 927, P. 171965 - 171965
Published: March 26, 2024
Language: Английский
Citations
1Forests, Journal Year: 2024, Volume and Issue: 16(1), P. 14 - 14
Published: Dec. 25, 2024
Soil microbes are crucial for regulating biogeochemical cycles and maintaining forest ecosystem sustainability; however, the understanding of microbial communities enzyme activity under natural plantation forests in plateau regions remains limited. Using soil samples from 15-, 30-, 50-year-old Picea crassifolia plantations a (NF) eastern Qinghai, China, this study assessed physicochemical properties, communities, across three layers. Microbial composition was characterized using phospholipid fatty acid (PLFA) method, which is sensitive to structural changes. The PLFAs bacteria, fungi, actinomycetes accounted 58.31%–74.20%, 8.91%–16.83%, 3.41%–10.41% total all forests, respectively. There were significant differences between NF plantations, with exhibiting higher PLFA abundance activities than except fungal PLFAs. increased age. However, fungi-to-bacteria ratio lower plantations. Finally, redundancy analysis revealed that properties influence functionality significantly. These findings highlight stand age on structure, offering valuable insights management practices aimed at conserving forests.
Language: Английский
Citations
1Water, Journal Year: 2023, Volume and Issue: 15(19), P. 3401 - 3401
Published: Sept. 28, 2023
The Xin’anjiang hydrological model (XHM) is the practical tool for runoff simulation and flood forecasting in most regions China, but it still presents some challenges when applied to Northwest where river mostly comes from high-temperature snowmelt, as lacks such a functional module. In this study, improved XHM coupling snowmelt module presented complete existing better suitability areas dominated by snowmelt. includes four sub-models: evapotranspiration, yield, separation, routing, introduced both yield separation sub-models. watershed divided into two types, non-snow with lower altitudes snow-covered higher altitudes, study mechanism of production separation. evaluation index, determination coefficients (R2), mean square error (MSE), Nash efficiency (NSE) are used assess XHM’s effect comparing traditional model. Results show that R2 coupled around 0.7 0.8 at Zamashk Yingluoxia stations, respectively, while MSE NSE also under 0.4 above 0.6, respectively. absolute value peaks station simulated only 10% 6%, 32% 40%, indicating peak flow process can be well showing constructed paper Heihe River Basin. critical temperature snow melting degree-day factor more sensitive compared other parameters related melting, increasing trend caused decreased increased occurs model’s state (snow reserve) higher. These results expand application scope snow-dominated XHM, providing certain technical references early warning snowmelt-dominated basins.
Language: Английский
Citations
3Water, Journal Year: 2023, Volume and Issue: 15(19), P. 3337 - 3337
Published: Sept. 22, 2023
The mountains in northern Xinjiang of China were studied during the snowmelt season. Multi-source fusions live data Chinese Land Data Assimilation System (CLDAS, 0.05° × 0.05°, hourly data) used as real data, and Central Meteorological Observatory guidance forecast (SCMOC, forecasting following 10 days 3 h intervals) was both which issued by Administration. dynamic linear regression average filter correction algorithms selected to revise original products for SCMOC. Based on conventional temperature information, we designed four temperature-rise prediction essential factors affecting snowmelt. included daily maximum algorithm, temperature-rise-range duration algorithm. Four values calculated each product. root–mean-squared error algorithm accuracy compare test value from time sequence spatial distribution. Comprehensive tests showed that product revised superior well Through these algorithms, more suitable grid point study area could be obtained at different times. comprehensive accurate mountainous season provide an theoretical basis effective runoff areas prevention flooding.
Language: Английский
Citations
2European Journal of Forest Research, Journal Year: 2023, Volume and Issue: 143(2), P. 547 - 560
Published: Dec. 27, 2023
Language: Английский
Citations
2NEWS of National Academy of Sciences of the Republic of Kazakhstan, Journal Year: 2024, Volume and Issue: 3(465), P. 82 - 94
Published: June 15, 2024
The quality and depth of content Web Science offers to researchers, authors, publishers, institutions sets it apart from other research databases. inclusion News NAS RK. Series geology technical sciences in the Emerging SourcesCitation Index demonstrates our dedication providing most relevant influential engineering community. Қазақстан Республикасы Ұлттық ғылым академиясы «ҚР ҰҒА Хабарлары
Language: Английский
Citations
0The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 953, P. 176179 - 176179
Published: Sept. 10, 2024
Language: Английский
Citations
0Journal of Forestry Research, Journal Year: 2024, Volume and Issue: 36(1)
Published: Nov. 6, 2024
Abstract In this study, using a dendrological and isotopic approaches, we investigated the responses to climate of two pure Fagus sylvatica L. stands (Campobraca Falode) in southernmost part distribution range southern Italy. The δ 13 C data were used for calculating intrinsic water use efficiency (iWUE) as proxy balance between carbon cycles. results showed that iWUE both was sensitive amount precipitation during summer months (negative, significant effect) atmospheric CO 2 concentration. Growth only Campo Braca site; most influential variables VPD (vapour pressure deficit) had negative positive effect, respectively. correlation with growth non-significant one Falode. Water availability variable on F. physiology. increase mainly driven by concentration, decreased precipitation, response trees drought. Our highlight importance understanding hydrological changes due change forecasting/modelling forest responses. does not compensate effect adverse forests Italy, while local conditions play an important role determining tree growth.
Language: Английский
Citations
0