Journal of soil science and plant nutrition, Journal Year: 2024, Volume and Issue: 24(2), P. 3953 - 3968
Published: May 13, 2024
Language: Английский
Journal of soil science and plant nutrition, Journal Year: 2024, Volume and Issue: 24(2), P. 3953 - 3968
Published: May 13, 2024
Language: Английский
Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15
Published: Aug. 7, 2024
Specific leaf area (SLA) and dry matter content (LDMC) are key functional traits often used to reflect plant resource utilization strategies predict responses environmental changes. In general, grassland plants at different elevations exhibit varying survival strategies. However, it remains unclear how adapt changes in elevation their driving factors. To address this issue, we utilized SLA LDMC data of from 223 study sites China, along with climate soil data, investigate variations elevational gradients dominant influencing factors employing linear mixed-effects models, variance partitioning method, piecewise Structural Equation Modeling, etc. The results show that increasing elevation, significantly decreases, increases (
Language: Английский
Citations
5Forests, Journal Year: 2023, Volume and Issue: 14(9), P. 1830 - 1830
Published: Sept. 7, 2023
Ecosystems in arid areas are under pressure from human activities and the natural environment. Long-term monitoring evaluation of ecosystems essential for achieving goal sustainable development. The Xinjiang Uygur Autonomous Region (Xinjiang) is a typical region located Northwest China with relatively sensitive ecosystem. Under support Google Earth Engine (GEE) cloud platform’s massive data collection, remote sensing ecological index (RSEI) 2000 to 2020, both summer spring, established, variation trend quality evaluated by coefficient (CV), Sen’s slope analysis, Mann–Kendall test (M–K test) Hurst index. In addition, partial correlation analysis processed between RSEI selected climatic factors, including precipitation temperature, find out mode climate. last two decades following has become apparent: (1) values have been low unstable toward increasing; (2) distribution characteristics levels spring similar; were concentrated desert wilderness, while high around oasis; (3) stable, sustained increase spring. There was also small area decrease Junggar Basin Turpan significant center Taklamakan Desert spring; (4) summer, obviously positively correlated Southwest. temperature northwestern part; Western oasis Yili River Tarim Basin.
Language: Английский
Citations
12Ocean & Coastal Management, Journal Year: 2025, Volume and Issue: 262, P. 107556 - 107556
Published: Jan. 30, 2025
Language: Английский
Citations
0Environmental Research, Journal Year: 2025, Volume and Issue: unknown, P. 121039 - 121039
Published: Feb. 1, 2025
Language: Английский
Citations
0Global Ecology and Conservation, Journal Year: 2025, Volume and Issue: unknown, P. e03555 - e03555
Published: March 1, 2025
Language: Английский
Citations
0Functional Plant Biology, Journal Year: 2025, Volume and Issue: 52(3)
Published: Feb. 24, 2025
The response of leaf traits and photosynthetic characteristics to selenium (Se) application reflects plant adaptation strategies for selenium-enhanced accumulation products. This study selected eggplant as the research subject conducted a field experiment better understand these relationships. included three Se treatments, foliar sprays 0.5 mg L−1 (T1), 1 (T2), 1.5 (T3), with tap water control (CK). results revealed that T1 T2 significantly improved compared CK, while T3 had negative effect. Regarding area–leaf thickness (LA–LT) trade-off relationship, treatment favoured LA, whereas T1, treatments LT, values > CK. net rate–transpiration rate (Pn–Tr) CK Tr, T2, Pn, T3. In specific area Pn showed non-significant highly significant positive correlations, respectively, in respectively. These indicate at appropriate concentrations can increase crop productivity semi-arid areas.
Language: Английский
Citations
0IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal Year: 2024, Volume and Issue: 17, P. 16119 - 16138
Published: Jan. 1, 2024
s-The Yellow River Basin (YRB) is a major ecological functional area in China, and its safety development change have extremely significant impacts on the natural environment human society. However, existing studies YRB lack spatiotemporal characteristics analysis prediction of with vegetation as core. Therefore, this study proposes to construct an index (ESI) based comprehensive multi-dimensional evaluation system "vigor-pressure-state-response,"using normalized difference index, carbon sink indicator parameters, temperature, precipitation, digital elevation model, population density, per capita gross domestic product from 2000 2020. The ESI were then analyzed for YRB, long-term short-term memory network model was constructed predict trend over next 10 years. According results, 2020, showed fluctuating upward trend, annual average changed abruptly 2015 due drastic changes hazardous areas. most areas stability weak some areas, overall spatial distribution positive agglomeration characteristics. Further, response landscape complexity different reaches varied. Most middle positively correlated complexity, while upper lower not significantly or negatively correlated. Notably, years, YRB's growth will slow down, degradation increasing, decreasing, currently showing improving.
Language: Английский
Citations
2Global Ecology and Conservation, Journal Year: 2024, Volume and Issue: 53, P. e03037 - e03037
Published: June 12, 2024
Language: Английский
Citations
2Environmental and Experimental Botany, Journal Year: 2024, Volume and Issue: 226, P. 105925 - 105925
Published: Aug. 2, 2024
Language: Английский
Citations
2Forests, Journal Year: 2023, Volume and Issue: 14(9), P. 1708 - 1708
Published: Aug. 24, 2023
Studying the variation and correlation of traits among provenances is great significance for selection excellent interpretation acclimation mechanisms different in context climate change. The photosynthetic characteristic parameters leaf functional 18 Cunninghamia lanceolata a common garden were measured. Redundancy analysis combined with Pearson was used to analyze relationship characteristics, traits, geo-climatic conditions. results showed following: (1) Significant differences observed, gsw LDMC have greatest as indicators respectively, because ability. (2) Leaf can better reflect parameters. between most reached significant level (p < 0.05), dry weight (LDW) specific area (SLA) are key trait factors that determine (3) Precipitation appeared be factor influences intraspecific traits’ variability compared temperature. This study explain how acclimate environment which more suitable planting under change from mechanistic perspective.
Language: Английский
Citations
4