Coupled zoning and spatial heterogeneity of human activities and natural endowments based on self-organizing map and random forest: A case study of the agro-pastoral ecotone in Gansu, China DOI Creative Commons
Jie Li,

Ninghui Pan,

Yao Yao

и другие.

Ecological Informatics, Год журнала: 2024, Номер 82, С. 102686 - 102686

Опубликована: Июнь 15, 2024

Regional zoning is an important way for humans to understand geographical space,but the existing research on regional focuses natural conditions, ignoring interdependent characteristics of human and nature, driving mechanism differentiation not sufficiently explained. In this study, using algorithms such as self-organizing feature map, clustering quality index, structural similarity index measure (SSIM) random forest, activity (HA)–natural endowment (NE) coupled in agro-pastoral ecotone Gansu, China (AEGC), was conducted explore differentiation. Results show following: (1) The HA-NE has best effect when implementing partitioning scheme with a classification number 4. Accordingly, AEGC can be divided into four regions significant differences between HAs NEs. (2) From perspective spatial distribution, HA–NE zoning, climate geographic vegetation are similar, whereas HA different. results SSIM showed that takes all types factors consideration (SSIM mean 0.708), better than single type zonings. have strong independence 0.576), conditions closely related other 0.671). (3) Elevation most driver AEGC, contribution degree 22.36%; drivers include land use intensity, precipitation, normalized difference distributions 17.38%, 16.34%, 15.79%. Furthermore, dominant each sub-region This study emphasizes characteristic uneven distribution differentiation, intensity become force influencing space. Policy recommendations zonal governance made based inherent different regions. may provide reference scientific cognitive

Язык: Английский

Green Synthesis of Nanoparticles by Mushrooms: A Crucial Dimension for Sustainable Soil Management DOI Open Access
Tamer Elsakhawy, Alaa El-Dein Omara,

Mohamed Abowaly

и другие.

Sustainability, Год журнала: 2022, Номер 14(7), С. 4328 - 4328

Опубликована: Апрель 6, 2022

Soil is the main component in agroecosystem besides water, microbial communities, and cultivated plants. Several problems face soil, including soil pollution, erosion, salinization, degradation on a global level. Many approaches have been applied to overcome these issues, such as phyto-, bio-, nanoremediation through different management tools. Mushrooms can play vital role bio-nanoremediation, especially under biological synthesis of nanoparticles, which could be used bioremediation process. This review focuses green nanoparticles using mushrooms potential bio-nanoremediation for polluted soils. The distinguished roles improvement are considered crucial dimension sustainable management, may include controlling improving aggregates, increasing organic matter content, enhancing bioavailability nutrients, resorting damaged and/or field still requires further investigation, particularly regarding

Язык: Английский

Процитировано

42
A Multi-Model approach for remote Sensing-Based actual evapotranspiration mapping using Google Earth Engine (ETMapper-GEE) DOI Creative Commons
Abdelrazek Elnashar, Shahab Aldin Shojaeezadeh, Tobias K. D. Weber

и другие.

Journal of Hydrology, Год журнала: 2025, Номер unknown, С. 133062 - 133062

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

1
Performance and the Optimal Integration of Sentinel-1/2 Time-Series Features for Crop Classification in Northern Mongolia DOI Creative Commons

Battsetseg Tuvdendorj,

Hongwei Zeng,

Bingfang Wu

и другие.

Remote Sensing, Год журнала: 2022, Номер 14(8), С. 1830 - 1830

Опубликована: Апрель 11, 2022

Accurate and early crop-type maps are essential for agricultural policy development food production assessment at regional national levels. This study aims to produce a map with acceptable accuracy spatial resolution in northern Mongolia by optimizing the combination of Sentinel-1 (S1) Sentinel-2 (S2) images Google Earth Engine (GEE) environment. A total three satellite data scenarios set, including S1 alone, S2 S2. In order avoid impact gaps caused clouds on crop classification, this reconstructed time series 10-day interval using median composite method, linear moving interpolation, Savitzky–Golay (SG) filter. Our results indicated that classification increased increase length all scenarios. alone has higher than The highest was generated from 150 days year (DOY) (11 May) 260 DOY (18 September). OA kappa were 0.93 0.78, respectively, F1-score spring wheat rapeseed 0.96 0.80, respectively. rapidly 210 (end July) (August mid-September), then it remained stable after DOY. Based our analysis, we filled gap 10 m Mongolia, revealing best period which can benefit achievement sustainable goals 2 (SDGs2).

Язык: Английский

Процитировано

34
Environmental sensitivity assessment of land desertification in the Hexi Corridor, China DOI

Wenyan Shao,

Qingzheng Wang, Qingyu Guan

и другие.

CATENA, Год журнала: 2022, Номер 220, С. 106728 - 106728

Опубликована: Окт. 31, 2022

Язык: Английский

Процитировано

33
Analysis of spatial-temporal patterns and driving mechanisms of land desertification in China DOI

Yu Ren,

Bo Zhang, Xidong Chen

и другие.

The Science of The Total Environment, Год журнала: 2023, Номер 909, С. 168429 - 168429

Опубликована: Ноя. 14, 2023

Язык: Английский

Процитировано

17
Assessment of the grassland carrying capacity for winter-spring period in Mongolia DOI Creative Commons

Nana Yan,

Weiwei Zhu,

Bingfang Wu

и другие.

Ecological Indicators, Год журнала: 2023, Номер 146, С. 109868 - 109868

Опубликована: Янв. 7, 2023

The grassland ecosystems of Mongolia are among the most sensitive to global climate change because arid and semiarid climate. As a key source primary productivity for livestock, quantification carrying capacity in winter early spring period is crucial sustainable livestock management livelihoods herders Mongolia. In this study, we used remote sensing data ancillary propose framework estimate aboveground biomass(AGB) (GCC) using Google Earth Engine (GEE) environment. We analysed spatial temporal changes GCC winter-spring during 2000–2020, status index (GCSIW) was proposed reflect utilization over past 21 years. Our study demonstrated effectiveness AGB estimation Carnegie-Ames-Stanford Approach (CASA) model with root-to-crown ratio method within GEE validation showed good performance an R2 0.67–0.71 RMSE 22.91–28.94 g/m2. Significant increases years were found Mongolian grasslands provinces. average GCSIW increased significantly 2000–2020 whole country all provinces, indicating increasing stocking density overexploited recent multiregression analysis further that dramatic increase populations contributed 87.5% 55%-99% variations GSCIW seventeen respectively. These results will be useful helpful supporting

Язык: Английский

Процитировано

13
Multispectral Satellite Image Analysis for Computing Vegetation Indices by R in the Khartoum Region of Sudan, Northeast Africa DOI Creative Commons
Polina Lemenkova, Olivier Debeir

Journal of Imaging, Год журнала: 2023, Номер 9(5), С. 98 - 98

Опубликована: Май 11, 2023

Desertification is one of the most destructive climate-related issues in Sudan-Sahel region Africa. As assessment desertification possible by satellite image analysis using vegetation indices (VIs), this study reports on technical advantages and capabilities scripting 'raster' 'terra' R-language packages for computing VIs. The test area which was considered includes confluence between Blue White Niles Khartoum, southern Sudan, northeast Africa Landsat 8-9 OLI/TIRS images taken years 2013, 2018 2022, were chosen as datasets. VIs used here are robust indicators plant greenness, combined with coverage, essential parameters environmental analytics. Five calculated to compare both status dynamics through differences collected within nine-year span. Using scripts visualising over Sudan demonstrates previously unreported patterns reveal climate-vegetation relationships. ability R process spatial data enhanced automate mapping, choosing case enables us present new perspectives processing.

Язык: Английский

Процитировано

13
Spatio-temporal characteristics and driving mechanism of land degradation sensitivity in Northwest China DOI
Lei Zhang,

Xia Jia,

Yonghua Zhao

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 918, С. 170403 - 170403

Опубликована: Фев. 1, 2024

Язык: Английский

Процитировано

5
Dryland Social-Ecological Systems in Changing Environments DOI Creative Commons
Bojie Fu, Mark Stafford‐Smith

Опубликована: Янв. 1, 2024

This open access book presents a timely synthesis of up-to-date knowledge in various thematic fields relevant to dryland SESs

Язык: Английский

Процитировано

5
Transboundary Nile basin dynamics: Land use change, drivers, and hydrological impacts under socioeconomic pathways DOI Creative Commons
Abubaker Omer, Xing Yuan, Alexandra Gemitzi

и другие.

Ecological Indicators, Год журнала: 2023, Номер 153, С. 110414 - 110414

Опубликована: Май 29, 2023

Landscape transitions in the Nile River basin will likely accelerate over next decades due to socioeconomic developments and climate change. However, assessments of land use/land cover (LULC) changes their impact on water resources lacked a transboundary perspective. Here we used coupled basin-scale geospatial-hydrological models project future LULC its three tributaries (i.e., White Nile, Blue Atbara River), explored drivers projected hydrological impacts under different shared pathways (SSPs) during 2020–2060. Compared 1992–2019, significant increases forested area (>50 × 103 km2) are expected occur upstream areas South Sudan Ethiopia, with larger higher emission scenarios. Consequently, it reduce downstream seasonal river discharge for by up 8.4% (SSP5) 8.9% (SSP2), respectively. An increase 7.4% is flood season if current urbanization/deforestation rates would prevail future. Large decreases (>15 unused sub-catchment natural vegetation socioeconomic-related types, leading flow decrease 15% rainy SSPs. The Main Egypt 3.6% SSPs 2.1% historical trends prevail. results highlight close association between landscape dynamics, growth, change suggest adaptive planning conservation measures.

Язык: Английский

Процитировано

11