Spatio-temporal analysis of LAI using multisource remote sensing data for source region of Yellow River Basin DOI Creative Commons
Ying Zhang, Jinliang Hou, Weixiao Han

et al.

Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12

Published: Feb. 27, 2024

Introduction: The Leaf area index (LAI) of source region yellow river basin is an important indicator for environmental sustainability. Most studies focus on the trend LAI in Yellow River Source Region (YRSR) accordance with both climate change and human actives. However, quantifying effect activities difficult but urgently needed. Specifically, Particle Matter 2.5 (PM2.5) can be indirect activities. Methods: In this study, we explored potential dependence temperature, precipitation, PM2.5 different land cover types YRSR linear regression correlation analysis. Results: Over period 2001–2020, has been warming becoming more humid, leading to overall improvements vegetation. mean values varied between seasons, summer having highest winter lowest LAI. analysis trends revealed that steadily increasing, particularly eastern region. showed a significant positive annual average precipitation indicating temperature greater impact vegetation growth. most exhibited unimodal throughout year, except construction which had two distinct peaks. Human-induced small increase Furthermore, interannual variation downward trend, strong Additionally, multiple residual factors strongest Conclusion: study highlights spatiotemporal variations its climatic factors. findings suggest plays crucial role growth

Language: Английский

Evaluating multifaceted effects of watershed properties and human activities on drought propagation in the Wei River Basin with an integrated framework DOI
Ruichen Mao, Bingjie Li, Jinxi Song

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 926, P. 171712 - 171712

Published: March 15, 2024

Language: Английский

Citations

8
Dynamics of solar-induced chlorophyll fluorescence (SIF) and its response to meteorological drought in the Yellow River Basin DOI
Hao Wu, Pingping Zhou,

Xiaoyan Song

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 360, P. 121023 - 121023

Published: May 10, 2024

Language: Английский

Citations

7
Drought limits vegetation carbon sequestration by affecting photosynthetic capacity of semi-arid ecosystems on the Loess Plateau DOI

Dou Li,

Xiaoxia Li, Zongshan Li

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 912, P. 168778 - 168778

Published: Nov. 25, 2023

Language: Английский

Citations

14
Characteristics and Drivers of Vegetation Change in Xinjiang, 2000–2020 DOI Open Access
Li Guo, Jiye Liang, Shijie Wang

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(2), P. 231 - 231

Published: Jan. 25, 2024

Examining the features of vegetation change and analyzing its driving forces across an extensive time series in Xinjiang are pivotal for ecological environment. This research can offer a crucial point reference regional conservation endeavors. We calculated fractional cover (FVC) using MOD13Q1 data accessed through Google Earth Engine (GEE) platform. To discern characteristics changes forecast future trends, we employed analysis, coefficient variation, Hurst exponent. The correlation between climate factors FVC was investigated analysis. Simultaneously, to determine relative impact meteorological anthropogenic actions on FVC, utilized multiple regression residual Furthermore, adhering China’s functional zone classification, segmented into five zones: R1 Altai Mountains-Junggar West Mountain Forest Grassland Ecoregion, R2 Junggar Basin Desert R3 Tianshan Mountains R4 Tarim Basin-Eastern Frontier R5 Pamir-Kunlun Mountains-Altan Alpine Ecoregion. A comparative analysis these regions subsequently conducted. results showed following: (1) During first two decades 21st century, overall primarily exhibited trend growth, exhibiting rate increase 4 × 10−4 y−1. multi-year average 0.223. mean value 0.223, values different zones following order: > R4. (2) predominant spatial pattern Xinjiang’s landscape is characterized by higher coverage northwest lower southeast. In this region, 66.63% terrain exhibits deteriorating vegetation, while 11% region notable rise plant growth. Future will be dominated decreasing trend. Regarding variation outcomes, minor representing 42.12% total, noticeable; stands at 0.2786. stability varied follows R5. (3) Factors that have facilitating effect included humidity, daylight hours, precipitation, with humidity having greater influence, hindering air temperature wind speed, speed influence. (4) Vegetation alterations influenced change, human activities play secondary role, contributing 56.93% 43.07%, respectively. underscores necessity continued surveillance dynamics enhancement policies focused habitat renewal safeguarding Xinjiang.

Language: Английский

Citations

5
Dissecting the Characteristics and Driver Factors on Global Water Use Efficiency Using GLASS Data Sets DOI Creative Commons

Zhenyan Hu,

Q. H. Dai,

Y. J. Yan

et al.

Earth s Future, Journal Year: 2024, Volume and Issue: 12(6)

Published: June 1, 2024

Abstract Ecosystem water use efficiency (WUE) is a crucial parameter for understanding the interaction between carbon and cycles. However, spatio–temporal evolution drivers of WUE remain unclear. This study utilized global annual scale land surface satellite gross primary productivity evapotranspiration data from 1982 to 2018 estimate analyze its characteristics. Additionally, investigated response changes five environmental factors (precipitation [PRE], soil moisture, temperature [TEM], palmer drought severity index, vapor pressure deficit [VPD]) on using partial correlation structural equation modeling. The results suggested that increased markedly over period, at an average rate 0.0016 gC m −2 mm −1 H 2 O year . In contrast existing knowledge change, climate change was found have larger contribution regional scales, especially in terms TEM VPD. A positive observed, but extreme could lead decrease WUE. VPD had most significant direct effect WUE, negative offset influence hyper‐arid, semi‐arid, arid regions. These findings offer new insights into impact warming

Language: Английский

Citations

4
The role of large reservoirs in drought and flood disaster risk mitigation: A case of the Yellow River Basin DOI
Jianming Feng, Tianling Qin, Denghua Yan

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 949, P. 175255 - 175255

Published: Aug. 3, 2024

Language: Английский

Citations

4
Spatiotemporal Variation of Water Use Efficiency and Its Responses to Climate Change in the Yellow River Basin from 1982 to 2018 DOI Creative Commons
Jie Li, Fen Qin, Ying‐Ping Wang

et al.

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
Infiltration mechanism and source of soil water in alpine meadows based on stable isotope tracing DOI Creative Commons

Li Zongjie,

Xu Bin,

Xiaoying Liu

et al.

Geoderma, Journal Year: 2025, Volume and Issue: 455, P. 117224 - 117224

Published: Feb. 20, 2025

Language: Английский

Citations

0
The Role of Climate Change and Human Intervention in Shaping Vegetation Patterns in the Fen River Basin of China: Implications of the Grain for Green Program DOI Open Access

Kaijie Niu,

Geng Liu,

Cun Zhan

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(10), P. 1733 - 1733

Published: Sept. 29, 2024

The Fen River Basin (FRB), an ecologically fragile region in China, exemplifies the intricate interplay between vegetation dynamics and both climatic human-driven factors. This study leverages a 40-year (1982–2022) dataset, utilizing kernel-based normalized difference index (kNDVI) alongside key variables—rainfall (PRE), temperature (TMP), solar radiation (SRAD)—to investigate variations their drivers FRB, particularly relation to Grain for Green Program (GGP). Our analysis highlights significant greening across with kNDVI slope increasing by 0.0028 yr−1 green-covered areas expanding 92.8% over period. GGP facilitated process, resulting notable increase from 0.0005 0.0052 marked expansion area of 24.6% 95.8%. Regional climate shifts, characterized increased warming, heightened humidity, slight rise SRAD, have further driven growth, contributing 75%, 58.7%, 23.6% dynamics, respectively. Notably, has amplified vegetation’s sensitivity variables, significantly impacted multiple factors 4.8% 37.5%. Specially, PRE is primary influence, impacting 71.3% pertinent regions, followed TMP (60.1%) SRAD (30%). integrated effects anthropogenic factors, accounting 47.8% 52.2% variations, respectively, collectively influence 96% region’s dynamics. These findings underscore critical role change human interventions shaping patterns provide robust foundation refining ecological conservation strategies, context global warming land-use policies.

Language: Английский

Citations

3
Loss rate of net primary productivity under drought stress on the Yinshanbeilu of Inner Mongolia, China DOI Creative Commons

Wang Sinan,

Yingjie Wu, Wenjun Wang

et al.

Frontiers in Plant Science, Journal Year: 2025, Volume and Issue: 16

Published: Feb. 19, 2025

The increasing intensity and frequency of droughts seriously threaten the structure function terrestrial ecosystems. In order to ensure normal play ecosystem service under future stress, temporal spatial characteristics productivity response drought need be explored. net primary production (NPP) vegetation in Yinshanbeilu was calculated using Carnegie-Ames-Stanford Approach (CASA) model, subsequent study concentrated on NPP's geographical variable characteristics. By calculation standard precipitation evapotranspiration index (SPEI), also sought examine relationship between NPP at various time scales. Researchers built loss rate curves based fertility stages vulnerability curve construction method. Findings revealed that SPEI had varying degrees efficacy capturing conditions frames. Nonetheless, SPEI's distribution, which shows a wet distribution east an arid west, exhibited identical for all scales may used indicate drought. Significant interannual variation seen area's vegetation, fluctuated upward direction from 2000 2020. 75.89%, 77.23%, 81.35%, 83.56% area were found have positive correlation scales, with 42.53%, 48.15%, 90.72%, 92.75% passing significance test (p < 0.05), order. Their results showed as scale increased, link became stronger. grew regularly expansion degree, 20-50%, according created each period.

Language: Английский

Citations

0