Inversion of Soil Salinity in the Irrigated Region along the Southern Bank of the Yellow River Using UAV Multispectral Remote Sensing DOI Creative Commons
Yuxuan Wang,

Zhongyi Qu,

Wei Yang

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(3), P. 523 - 523

Published: March 3, 2024

Soil salinization is a global issue confronting humanity, imposing significant constraints on agricultural production in the irrigated regions along southern bank of Yellow River. This, turn, leads to degradation ecological environment and inadequate grain yields. Hence, it essential explore magnitude spatial patterns soil promote efficient sustainable development. This study carried out two-year surface sampling experiment encompassing periods before spring irrigation budding, flowering, maturity stages sunflower fields area It employed deep learning conjunction with multispectral remote sensing conducted by UAV estimate salinity levels fields. Following identification sensitive spectral variables through correlation analysis, we proceeded model compare accuracy stability various models, including Transformer model, traditional machine BP neural network (BPNN), random forest (RF), partial least squares regression (PLSR). The findings indicate that precision content (SSC) retrieval saline–alkali land can be significantly enhanced incorporating RE band data. Four SSC inversion models were developed using most suitable variables, resulting precise inversion. order based was > BPNN RF PLSR. Notably, achieved prediction exceeding 0.8 for both training test datasets, as indicated R2 values. each period follows: budding flowering stages. Additionally, higher bare stage compared crop cover stage. exhibited RMSE values 2.41 g kg−1 0.84 salt results aligning closely field-measured showed integrated data enhances efficiency within south

Language: Английский

Evaluation of the coupling and coordination degree of eco-cultural tourism system in the Jiangsu-Zhejiang-Shanghai-Anhui region DOI Creative Commons
Mengdi Lu,

Yifang Duan,

Xiaoman Wu

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 156, P. 111180 - 111180

Published: Nov. 3, 2023

This study aimed to reveal the interactions and coordination between culture, ecology, tourism. Using Jiangsu, Zhejiang, Shanghai, Anhui (JZSA1) region of China as area, we constructed an eco-cultural tourism system evaluation index system, calculated coupling degree (CCD2) using coupled model, identified influencing factors obstacle model. The findings show that CCD JZSA continuously improved from 2009 2019 reached intermediate level in 2019. However, there was still obvious regional divergence effect. Culture ecology are significant obstacles systems. From perspective development evolution factors, ecological have increasingly negative effects. Therefore, should be considered future.

Language: Английский

Citations

16
Patterns and Dominant Driving Factors of Carbon Storage Changes in the Qinghai–Tibet Plateau under Multiple Land Use Change Scenarios DOI Open Access
Huihui Zhao,

Caifeng Yang,

Miao Lu

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(3), P. 418 - 418

Published: Feb. 22, 2024

Revealing the spatial–temporal evolution of carbon storage and its driving mechanisms in Qinghai–Tibet Plateau could provide support for decision making protection regional ecosystems achievement dual-carbon goals. In this study, was analyzed under various scenarios using PLUS-InVEST a gravity center model, were clarified with Geodetector. The results are as follows: (1) During 2000–2020, areas coniferous forest, evergreen broad-leaved closed shrub, temperate shrub desert, multi-tree grassland, grassland showed an increasing trend, while deciduous forest mixed decreasing trend. (2) 2030–2060, there trend total three different scenarios. (3) area mostly represented by balance (56%), sources sinks scattered distribution. (4) precipitation topographic factors q value 0.888 played dominant role affecting spatio-temporal variations Plateau. (5) future ecological restoration efforts, more high-quality farmlands should be protected constructed, which contribute to addition, hydrothermal conditions improved aid cycle process

Language: Английский

Citations

6
Coupling coordination analysis and spatiotemporal heterogeneity between urban land green use efficiency and ecosystem services in Yangtze River Economic Belt, China DOI Creative Commons
Fengtai Zhang, Aiyu Xie, Caixia Jiang

et al.

Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)

Published: Oct. 3, 2024

Language: Английский

Citations

5
Dynamic analysis of soil erosion in the affected area of the lower Yellow River based on RUSLE model DOI Creative Commons
Ying Zhang, Pengyan Zhang, Zhenyue Liu

et al.

Heliyon, Journal Year: 2023, Volume and Issue: 10(1), P. e23819 - e23819

Published: Dec. 20, 2023

With the accelerated development of urbanization, exploration and usage land resources is becoming more frequent, which leads to decline soil quality, resulting in a series ecological issues, such as nutrient loss, quality degradation destruction. At present, contradiction between erosion sustainable human society has become one hot issues studied by scholars. The Yellow River Basin an important experimental area for high-quality China, constructing Ecological Economic Belt play role China's regional coordinated development. Although most affected Lower (AALYR) plain, they have large population density are historical farming area. In latest years, because transformation modern society, their environment fragile problems increasingly serious. Studying analyzing vital meaning protection can provide scientific support conservation work. Depending on data precipitation, properties, use, population, etc., this paper studies analyzes AALYR from 2000 2020 through RUSLE. We found that during 20 years proportion very slight grade increased, distribution moderate above was less, mainly Zibo, Jinan, Anyang, Zhengzhou, Tai 'an. Nearly three quarters didn't change, apart increase area, other grades showed downward trend. take city, county town zoning analysis find scale decreases, serious increases, gradually detailed. Land use main influencing factor except DEM. Forestland grassland larger various types use. Through these conclusions paper, it promising theoretical references governance great river basins world similar regions.

Language: Английский

Citations

13
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
Land use and cover change and influencing factor analysis in the Shiyang River Basin, China DOI

Yaxuan Zhao,

Bo Cao,

Linwei Sha

et al.

Journal of Arid Land, Journal Year: 2024, Volume and Issue: 16(2), P. 246 - 265

Published: Feb. 1, 2024

Language: Английский

Citations

4
Response of preferential flow to soil − root − rock fragment system in karst rocky desertification areas DOI Creative Commons
Fang Hou,

Jinhua Cheng,

Han Zhang

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 165, P. 112234 - 112234

Published: June 10, 2024

Language: Английский

Citations

4
Modelling the spatiotemporal dynamics of land susceptibility to desertification in Algeria DOI
Ahmed Alliouche, Yacine Kouba

CATENA, Journal Year: 2023, Volume and Issue: 232, P. 107437 - 107437

Published: Aug. 3, 2023

Language: Английский

Citations

11
Exploring the synergy between Karst World Heritage site's OUV conservation and buffer zone’s tourism industry development: a case study of the Libo-Huanjiang Karst DOI Creative Commons
Juan Zhang, Kangning Xiong, Zhaojun Liu

et al.

Heritage Science, Journal Year: 2023, Volume and Issue: 11(1)

Published: Sept. 20, 2023

Abstract Karst World Heritage Site (KWHS) combines high-grade landscape resources and a fragile ecological environment. As an essential tool for heritage conservation maintaining local interests, its buffer zone is primarily located in remote villages, crucial challenging area rural revitalization. The conflict between development particularly acute at the site. How to deal with relationship site’s OUV zone's tourism industry realize synergy two subsystems? Few studies have focused on it. There urgent need explore synergistic mechanism of KWHS's development. Accordingly, this study takes Libo-Huanjiang KWHS, one 'South China Karst' series sites, as case study. coupling coordination degree model, gray correlation analysis (GCA), Geographic Information System (GIS) spatial are used. results show that: (1) effect development, showing favorable trend. mean value increased from 0.57 2015 0.63 2020, overall situation improved barely state primary coordination. (2) Influenced by main driving factors, such NDVI, dominance, government support tourists' satisfaction, residents' support, four tourist scenic areas differed slightly 2020. Yaoshan Ancient Village Scenic Area highest both years, increasing 0.69 0.81, followed Mengliu Buyi (0.59), Wanmu Meiyuan relatively stable slight increase, Lianshanwan (0.45) lowest. (3) dimensions resources, policy drivers, economy social facilitators work together create Future research can promote formulating comprehensive plan, encouraging sustainable tourism, establishing diversified industry, strengthening education training, enhancing community participation, reinforcing stakeholder cooperation.

Language: Английский

Citations

11
Spatiotemporal dynamics and driving factors of soil erosion in the Beiluo River Basin, Loess Plateau, China DOI Creative Commons

Boqing Wen,

Chenlu Huang,

Chen Zhou

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 155, P. 110976 - 110976

Published: Sept. 29, 2023

Soil erosion reduces soil fertility and land productivity while enhancing desertification, which seriously threatens ecological security, carbon sequestration, sustainable economic social development. Therefore, it is fundamental to precisely assess the long-term dynamics of explore its drivers control risk erosion. Currently, machine learning-based analyses factors driving are lacking in Beiluo River Basin (BRB), China. This paper aimed investigate spatiotemporal by Chinese loss equation coupled with gully factor, then reveal using Boosting Regression Tree method (BRT) estimate influence drivers' interactions on BRB between 1990 2017. The findings demonstrated that expanded accurately explained variations BRB. range average rates was 2,852.83–800.35 t km−2 a−1. Steep farmland, particularly areas relatively rough terrain, more vulnerable intense for different geomorphologies decreased as follows: hilly–gully > gully–plateau alluvial river plains Rocky Mountains. major affecting rate were biomass factor (B) slope, followed slope length (L) steepness (S). B–soil erodibility (1990), B–LS (2000), LS–rainfall erosivity (2010), slope–rainfall (2017) had greatest erosion, interaction intensities 32.3%, 17.75%, 46.05%, 35.69%, respectively. according classification types farmland grassland forest. results indicate water conservation study area benefited greatly from implementation Grain Green Program, forests reducing effectively than grassland.

Language: Английский

Citations

10