Evaluation of optimum season selection for construction RSEI: A case study of ecological environment quality assess-ment in the Beijing-Tianjin-Hebei region from 2001 to 2020 DOI Open Access
Shaodong Huang, Yujie Li, Haowen Hu

et al.

Authorea (Authorea), Journal Year: 2023, Volume and Issue: unknown

Published: March 3, 2023

Timely and objective assessment of the optimal season for construction remote sensing ecological index (RSEI) is great significance accurate effective environment quality. We manipulated RSEI in different seasons to monitor evaluate seasonal quality (EEQ) variations Beijing-Tianjin-Hebei (JJJ) region from 2001 2020. First, we evaluated image quality, bad observations were interpolated. Second, was constructed by MODIS, compared eigenvalues contribution rate PC1 seasons. Third, assessed temporal spatial EEQ across same within distinct years. Moran’s I employed autocorrelation stability mean standard deviation correlation between four indicators compared. The results showed that: 1)the component concentrates most characteristics indicators, especially summer (over 71%); 2) Moran’ 2001, 2006, 2011, 2016, 2020 are 0.909, 0.898, 0.917, 0.921, 0.892, respectively, which indicated that has a strong positive correlation. 3) high years, fluctuated slightly summer, std NDVI, WET, LST, and, NDBSI 0.005, 0.052, 0.026, 0.017, respectively. 4) Only VCF show distribution consistency long time series This study explored spatiotemporal JJJ at scale, can provide reference selecting optimum monitoring urban agglomeration future.

Language: Английский

Evaluation and regulation strategy for ecological security in the Tarim River Basin based on the ecological footprint DOI
Jingjing Zhang, Xingming Hao, Xuewei Li

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 435, P. 140488 - 140488

Published: Jan. 1, 2024

Language: Английский

Citations

17

Assessment of optimal seasonal selection for RSEI construction: a case study of ecological environment quality assessment in the Beijing-Tianjin-Hebei region from 2001 to 2020 DOI Creative Commons
Shaodong Huang, Yujie Li, Haowen Hu

et al.

Geocarto International, Journal Year: 2024, Volume and Issue: 39(1)

Published: Jan. 1, 2024

Timely and objective assessment of the optimal season for construction remote sensing ecological index (RSEI) is great significance accurate effective environment quality. We manipulated RSEI in to monitor seasonal variations quality (EEQ) Beijing-Tianjin-Hebei (JJJ) region from 2001 2020. First, we evaluated image across all four seasons filled missing observations through liner interpolation. Second, Seasonal was constructed using MODIS compared different years. Third, temporal spatial within same EEQ. Additionally, Moran's I utilized evaluate autocorrelation EEQ, stability correlation between indicators compared. The results showed that: 1) PC1 component concentrates most characteristics indicators, especially summer (over 71%); 2) Moran' 2001, 2006, 2011, 2016 2020 are 0.909, 0.898, 0.917, 0.921 0.892, respectively, which indicated that EEQ has a strong positive correlation. 3) high years, standard deviation fluctuated slightly summer, std NDVI, WET, LST and, NDBSI were 0.005, 0.052, 0.026 0.017, respectively. This study theoretically demonstrates constructing RSEI, filling research gap previous studies regarding rationale selecting images periods vigorous vegetation growth construction, can provide reference optimum monitoring urban future.

Language: Английский

Citations

10

Is the z-score standardized RSEI suitable for time-series ecological change detection? Comment on Zheng et al. (2022) DOI
Hanqiu Xu, Chunqiang Li, Tingting Shi

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 853, P. 158582 - 158582

Published: Sept. 9, 2022

Language: Английский

Citations

26

Analysis of oasis land ecological security and influencing factors in arid areas DOI
Lu Wang, Jianxia Chang, Bing He

et al.

Land Degradation and Development, Journal Year: 2023, Volume and Issue: 34(12), P. 3550 - 3567

Published: April 21, 2023

Abstract Arid oasis areas are typical ecologically fragile areas, and Land ecological security (LES) reflects the relationship between land use socio‐economics. At present, evaluation of LES is still in exploration stage, there a lack dynamic from spatial temporal perspective, interaction influencing factors not considered, which often affects reliability results optimization scenarios. This study analyzes changes Tarim River Basin (TRB) 1990 to 2020 constructs pressure‐state‐response (PSR) model assess patterns LES. Then, correlation divergence were explored using Moran index. Finally, geographical detector analysis was used reveal drivers spatiotemporal TRB effects factors. The that significant variability level oases, with eastern region continuing deteriorate while western continues improve. Between 2020, largest increase oases 24,089.52 km 2 cultivated decrease 47,117.03 grassland. Also, interactions variables. greatest associations three variables‐the forest coverage raste, proportion tertiary industry, rural per capita net income‐all reached over 0.88. evaluates affecting factors, contribute development refined countermeasures offers foundation for realization sustainable establishment civilization.

Language: Английский

Citations

16

Analysis of Spatio-Temporal Pattern Changes and Driving Forces of Xinjiang Plain Oases Based on Geodetector DOI Creative Commons
Ji Zhang, Pei Zhang, Xinchen Gu

et al.

Land, Journal Year: 2023, Volume and Issue: 12(8), P. 1508 - 1508

Published: July 28, 2023

Water and soil resources are the key elements required to maintain stability sustainable development of oases in inland drylands. This study takes Xinjiang as an example, reveals spatial temporal distribution characteristics across Xinjiang, well dynamic migration transformation process mutual influence human activities on oasis resources, through a combination land movement attitude indicators, use gravity model, Geodetector. The results show that: (1) area containing has expanded, increasing by 24.0% between 1990 2020; (2) both artificial (AO) natural (NO) were tilted northeast–southwest direction, with center point AOs moving slightly northeast, centripetal force dispersion degree did not change significantly; NO moved significantly weakened, showing convergence; (3) cultivated grassland main types evolution, their contribution evolution was over 70%; (4) Geodetector that three factors driving vegetation cover, population density, GDP. research have practical implications for land-use management planning ecological environmental protection arid zones.

Language: Английский

Citations

16

Dynamic Changes in Vegetation Ecological Quality in the Tarim Basin and Its Response to Extreme Climate during 2000–2022 DOI Open Access

Yuanmei Zhang,

Yan Lü,

Guili Sun

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(3), P. 505 - 505

Published: March 8, 2024

The Tarim Basin is located in an arid inland area; the ecological environment fragile, and it extremely sensitive to climate change. For purpose of studying dynamic changes vegetation response extreme climate, this study used Vegetation Ecological Quality Index (EQI) as a indicator calculated 12 indices using Rclimdex. Pearson correlation analysis was explore relationship between EQI values various at both inter-annual intra-annual scales. Additionally, geographic detector employed examine single interactive effects on for different types. following found: (1) During 2000–2022, showed upward trend Basin, increase agricultural fastest. (2) Since 2000, warm temperature have risen, whereas cold declined. warming rate nighttime temperatures exceeds that daytime, precipitation rises intensively. Simultaneously, continuous dry days also increased. (3) On scale, primarily negatively correlated with most indices, while positively indices. there obvious regional concentration diurnal range (DTR) daytimes (TX10P) inhibitory promoting areas high low EQI, respectively. extremum intensity effect inhibiting EQI. interaction has greater impact than index, especially significant forests shrubs. This provides reference early warning meteorological disasters, ecosystem protection, sustainable management Basin.

Language: Английский

Citations

6

Responses of vegetation cover to hydro-climatic variations in Bosten Lake Watershed, NW China DOI Creative Commons
Xiangyu Ge, Jianli Ding, Nigenare Amantai

et al.

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: April 16, 2024

Amidst the backdrop of global climate change, it is imperative to comprehend intricate connections among surface water, vegetation, and climatic shifts within watersheds, especially in fragile, arid ecosystems. However, these relationships across various timescales remain unclear. We employed Ensemble Empirical Mode Decomposition (EEMD) method analyze multifaceted dynamics water vegetation Bosten Lake Watershed multiple temporal scales. This analysis has shed light on how elements interact with revealing significant insights. From March October, approximately 14.9–16.8% areas permanent were susceptible receding drying up. Both annual monthly values Lake’s level area exhibited a trend initial decline followed by an increase, reaching their lowest point 2013 (1,045.0 m 906.6 km2, respectively). Approximately 7.7% vegetated showed increase Normalized Difference Vegetation Index (NDVI). NDVI volatility was observed 23.4% areas, primarily concentrated southern part study near Bosten. Regarding components (6 < T 24 months), temperature, 3-month cumulative NDVI, 3-month-leading precipitation strongest correlation changes area. For interannual (T≥ precipitation, temperature displayed most robust alterations In both components, had negative impact area, while exerted positive effects. Through comparative analysis, this reveals importance periodicity developing adaptive strategies for achieving Sustainable Development Goals dryland watersheds. introduces methodology dissecting trends scale lake links variations different The inherent correlations uncovered research can serve as valuable guidance future investigations into regions.

Language: Английский

Citations

5

Detecting Long-Term Series Eco-Environmental Quality Changes and Driving Factors Using the Remote Sensing Ecological Index with Salinity Adaptability (RSEISI): A Case Study in the Tarim River Basin, China DOI Creative Commons
Wen Chen,

Jinjie Wang,

Jianli Ding

et al.

Land, Journal Year: 2023, Volume and Issue: 12(7), P. 1309 - 1309

Published: June 28, 2023

Ecological challenges resulting from soil salinization in the Tarim River Basin (TRB), exacerbated by climate change and human activities, have emphasized need for a quick accurate assessment of regional ecological environmental quality (EEQ) driving mechanisms. To address this issue, study has developed remote-sensing index with salinity adaptability (RSEISI) EEQ integrating comprehensive (CSI) into (RSEI). The RSEISI enhances sensitivity characterizes surface features arid regions, thus expanding applicability. Then, we used time-series analysis methods geodetector to quantify spatial temporal trends factors TRB 2000 2022. results show that adaptation effectively monitors TRB. displayed situation oasis expansion, desert deterioration, glacier melting, multiyear average grades were dominated medium poor saline areas, while medium, good, excellent concentrated mountainous areas. Looking at trend conjunction land-use types, showed mild degradation mainly unused land, followed improvement cropland grassland. Hurst indicated most areas will improve future. Soil type, land use, precipitation, temperature considered be key affecting across TRB, changes found interaction multiple factors. This may provide innovative concepts methodologies, scientific technological support management, green development models northwest zone.

Language: Английский

Citations

12

Dynamic monitoring and analysis of factors influencing ecological environment quality in northern Anhui, China, based on the Google Earth Engine DOI Creative Commons
Xia Wang,

Xiaojie Yao,

Changzheng Jiang

et al.

Scientific Reports, Journal Year: 2022, Volume and Issue: 12(1)

Published: Nov. 24, 2022

Abstract Monitoring the ecological environment quality is an important task that often connected to achieving sustainable development. Timely and accurate monitoring can provide a scientific basis for regional land use planning environmental protection. Based on Google Earth Engine platform coupled with greenness, humidity, heat, dryness identified in remote sensing imagery, this paper constructed index (RSEI) covering northern Anhui quantitatively analyzed characteristics of spatiotemporal changes from 2001 2020. Geodetector software was used explore mechanism driving spatial differentiation quality. The main conclusions were as follows. First, declined rapidly 2005, but rate decline slowed 2005 2020 trend improvement gradually emerged. Huainan better more stable compared other cities. Bengbu Suzhou showed initially declining then improving. Huaibei, Fuyang, Bozhou demonstrated fluctuating over time. Second, vegetation coverage influencing factor RSEI, while rainfall secondary Finally, interactions observed between factors, explanatory power these factors increased significantly after interaction. most apparent interaction ( q = 0.404). In addition, we found abundance had positive impact quality, population density urbanization negative impacts, wetlands highest. Our research will theoretical protection support high-quality development Anhui.

Language: Английский

Citations

19

Response of Vegetation Dynamics in the Three-North Region of China to Climate and Human Activities from 1982 to 2018 DOI Open Access

Weijia Liang,

Quan Quan, Bohua Wu

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(4), P. 3073 - 3073

Published: Feb. 8, 2023

To tackle ecological problems, many restoration projects have been implemented in northern China. Identifying the drivers of vegetation change is critical for continued engineering. In this study, three typical reserves Three-North Shelter Forest Program Region (TNSFR) were selected to identify their development characteristics and driving mechanisms using normalized difference index (NDVI), climate factors, land use data. The results show that (1) NDVIs increased range human activities all reserves, indicating an obvious effect projects. (2) planting period, was mainly correlated with activities. After entering tending impact changes on dynamics enhanced. (3) Temperature precipitation provided approximate effects I, while Regions II III more strongly precipitation. (4) proportion areas measures exceeded 50% regions. short, dominated quantity restoration, influenced quality restoration.

Language: Английский

Citations

11