Elevational Patterns and Drivers of Leaf Carbon, Nitrogen, and Phosphorus Stoichiometry in an Alpine-Gorge Region on the Eastern Qinghai-Tibetan Plateau DOI
Jian Chen, Miao Chen, Shun Liu

et al.

Journal of soil science and plant nutrition, Journal Year: 2024, Volume and Issue: 24(2), P. 3953 - 3968

Published: May 13, 2024

Language: Английский

Climate factors dominate the elevational variation in grassland plant resource utilization strategies DOI Creative Commons

J.H. Ye,

Yuhui Ji,

Jinfeng Wang

et al.

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

5

Evaluation of Ecological Quality Status and Changing Trend in Arid Land Based on the Remote Sensing Ecological Index: A Case Study in Xinjiang, China DOI Open Access
Yimuranzi Aizizi, Alimujiang Kasimu, Hongwu Liang

et al.

Forests, 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

12

Wind-driven mechanisms for allometric growth of Spartina alterniflora leaves: Implications for adaptive management DOI

Weidong Gu,

Zhiyao Yang,

Q. L. Yang

et al.

Ocean & Coastal Management, Journal Year: 2025, Volume and Issue: 262, P. 107556 - 107556

Published: Jan. 30, 2025

Language: Английский

Citations

0

Future climate change facilitates the herb drought-tolerant species distribution than woody species DOI

Huimin Duan,

Shuxia Sun,

Wenjun Yang

et al.

Environmental Research, Journal Year: 2025, Volume and Issue: unknown, P. 121039 - 121039

Published: Feb. 1, 2025

Language: Английский

Citations

0

Elevational variation and driving factors of leaf functional traits in alpine shrubs of Sanjiangyuan Nature Reserve, China DOI Creative Commons
Min Li, Wenxu Cao, Li Xu

et al.

Global Ecology and Conservation, Journal Year: 2025, Volume and Issue: unknown, P. e03555 - e03555

Published: March 1, 2025

Language: Английский

Citations

0

Effects of selenium on leaf traits and photosynthetic characteristics of eggplant DOI
Lu Zhang,

Xiawei Zhao,

Yan Wang

et al.

Functional 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

0

Spatiotemporal Characteristics and Prediction of Ecological Safety in the Yellow River Basin of China DOI Creative Commons
Xiao Wei, Lifeng Zhang, Yi He

et al.

IEEE 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

2

Spatial patterns and variations in leaf traits of alpine plants on the interior Tibetan Plateau DOI Creative Commons

Yili Jin,

Mengna Liao, Ying Hou

et al.

Global Ecology and Conservation, Journal Year: 2024, Volume and Issue: 53, P. e03037 - e03037

Published: June 12, 2024

Language: Английский

Citations

2

Variation and coordination among the plant functional traits of three coexisting shrub species in arid conditions DOI
Wenyue Zhao, Xibin Ji, Zeyu Du

et al.

Environmental and Experimental Botany, Journal Year: 2024, Volume and Issue: 226, P. 105925 - 105925

Published: Aug. 2, 2024

Language: Английский

Citations

2

Variations in Leaf Functional Traits and Photosynthetic Parameters of Cunninghamia lanceolata Provenances DOI Open Access
Tingyu Xu, Xiang Niu, Bing Wang

et al.

Forests, 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