CATENA, Год журнала: 2024, Номер 248, С. 108567 - 108567
Опубликована: Ноя. 26, 2024
Язык: Английский
CATENA, Год журнала: 2024, Номер 248, С. 108567 - 108567
Опубликована: Ноя. 26, 2024
Язык: Английский
Journal of Environmental Management, Год журнала: 2024, Номер 370, С. 122498 - 122498
Опубликована: Сен. 16, 2024
Язык: Английский
Процитировано
4CATENA, Год журнала: 2025, Номер 254, С. 108937 - 108937
Опубликована: Март 16, 2025
Язык: Английский
Процитировано
0Frontiers in Environmental Science, Год журнала: 2025, Номер 12
Опубликована: Янв. 24, 2025
Overgrazing leads to steppe degradation and soil structure deterioration, which is common in desert steppes. Restricted grazing a sustainable practice, but the mechanisms by responds restricted have received little attention. This study examined effects of two different management strategies, namely, free (CK), on indicators steppe. The further included exclusion (GE) seasonal (SG). Additionally, preliminary exploration was conducted identify main factors affecting aggregate stability. Our results demonstrated that GE significantly increased clay (<0.002 mm) silt (0.002–0.02 0–10 cm 10–20 layers an average 71.27% 70.64%, respectively. SG mm), macroaggregates (>0.25 layer. organic carbon 7.02 g/kg 7.45 g/kg, In addition, had no significant effect carbon. findings obtained from computations using boosted regression tree (BRT) that, within period, porosity affects stability compared other factors. Moreover, it possessed explanatory power surpassed 45%. Overall, better under than SG, key improving research will contribute more profound comprehension impact structure. Therefore, recommended closures be prioritized grasslands promote coordination between grassland restoration livestock development.
Язык: Английский
Процитировано
0Computers and Electronics in Agriculture, Год журнала: 2025, Номер 235, С. 110316 - 110316
Опубликована: Апрель 5, 2025
Язык: Английский
Процитировано
0Soil and Tillage Research, Год журнала: 2025, Номер 252, С. 106615 - 106615
Опубликована: Апрель 25, 2025
Язык: Английский
Процитировано
0Applied Soil Ecology, Год журнала: 2025, Номер 212, С. 106162 - 106162
Опубликована: Май 9, 2025
Язык: Английский
Процитировано
0CATENA, Год журнала: 2024, Номер 246, С. 108418 - 108418
Опубликована: Сен. 23, 2024
Язык: Английский
Процитировано
1Agriculture, Год журнала: 2024, Номер 14(9), С. 1453 - 1453
Опубликована: Авг. 25, 2024
The spatial prediction of soil CO2 flux is great significance for assessing regional climate change and high-quality agricultural development. Using a single satellite to predict limited by climatic conditions land cover, resulting in low accuracy. To this end, study proposed strategy multi-source spectral coordination selected seven optical remote sensing data sources (i.e., GF1-WFV, GF6-WFV, GF4-PMI, CB04-MUX, HJ2A-CCD, Sentinel 2-L2A, Landsat 8-OLI) extract auxiliary variables vegetation indices texture features). We developed tree-structured Parzen estimator (TPE)-optimized extreme gradient boosting (XGBoost) model the mapping flux. SHapley additive explanation (SHAP) was used analyze driving effects on A scatter matrix correlation analysis showed that distributions were skewed, linear correlations between them (r < 0.2) generally weak. Compared with single-satellite variables, TPE-XGBoost based multiple-satellite significantly improved accuracy (RMSE = 3.23 kg C ha−1 d−1, R2 0.73), showing stronger fitting ability variability results revealed high-flux areas mainly concentrated eastern northern farmlands. SHAP PC2 TCARI 2-L2A TVI HJ2A-CCD had significant positive above indicate integration can enhance reliability predictions flux, thereby supporting sustainable development response strategies.
Язык: Английский
Процитировано
0CATENA, Год журнала: 2024, Номер 248, С. 108567 - 108567
Опубликована: Ноя. 26, 2024
Язык: Английский
Процитировано
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