Reseeding restoration significantly improves the physical and chemical properties of degraded grassland soil in China—a meta-analysis

CATENA, Journal Year: 2025, Volume and Issue: 252, P. 108849 - 108849

Published: Feb. 26, 2025

Language: Английский

---

Multi‐Scenario Simulation of Land Use Changes and Their Ecological Risk in the Global Largest Inland Arid Urban Agglomeration

Land Degradation and Development, Journal Year: 2025, Volume and Issue: unknown

Published: March 12, 2025

ABSTRACT Rapid global urbanization had significantly altered land use (LU), threatening the ecology and sustainability of arid regions. Systematic forward‐looking analyses changes (LUCs) ecological risks in Asia's zones, particularly urban agglomeration on northern slope Tianshan Mountains (UANSTM), remained limited. Herein, LUCs UANSTM under four scenarios, including ecology‐economy balanced development scenario (EES), protection (EPS), economic (EDS), natural (NDS) 2030, was predicted by employing PLUS model multi‐objective programming (MOP) model. Then, an evaluation system developed from dimensions expansion, risk, food demand, degradation to assess corresponding risk each case. The results showed that: (1) Under scenario, desert bare grassland were found be main LU modes UANSTM, with a significant increase cultivated negligible change water forest; (2) area decreased NDS while areas grassland, forest land, construction increased other especially unused grassland; (3) LU‐induced these scenarios similarities, overall high risks. Among them, 52.04% at relatively high‐risk levels, only 2.97% low‐risk levels. This study reveals diversified different thereby facilitating individualized planning environmental restoration UANSTM.

Language: Английский

---

Analysis of Grassland Vegetation Coverage Changes and Driving Factors in China–Mongolia–Russia Economic Corridor from 2000 to 2023 Based on RF and BFAST Algorithm

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(8), P. 1334 - 1334

Published: April 8, 2025

Changes in grassland vegetation coverage (GVC) and their causes the China–Mongolia–Russia Economic Corridor (CMREC) region have been a hot button issue regarding ecological environment sustainable development. In this paper, multi-source remote sensing (RS) data were used to obtain GVC from 2000 2023 based on random forest (RF) regression inversion. The nonlinear characteristics such as number of mutations, magnitude time mutations detected analyzed using BFAST model. Driving factors climatic introduced quantitatively explain driving mechanism changes. results showed that: (1) RF model is optimal for inversion region. R2 training set reached 0.94, RMSE test was 12.86%, correlation coefficient between predicted actual values 0.76, CVRMSE 18.07%. (2) During period 2000–2023, ranged 0 5, there at least 1 mutation 58.83% study area. years with largest proportion 2010, followed by 2016, accounting 14.57% 11.60% all respectively. month highest percentage October, June, 31.73% 22.19% (3) sustained stable positive effect shown precipitation before after maximum mutation. Wind speed negative areas more severe desertification, Inner Mongolia, China parts Mongolia. On other hand, reduced wind mutations. Therefore, guarantee security CMREC, governments should formulate new countermeasures prevent desertification according laws nature strengthen international cooperation.

Language: Английский

---

Maximizing Common Bean (Phaseolus vulgaris L.) Productivity Through Application of Organic and Inorganic Fertilizers in Alkaline Soil

Applied Biosciences, Journal Year: 2025, Volume and Issue: 4(2), P. 22 - 22

Published: May 1, 2025

Common beans are a vital source of protein, vitamins, and minerals. Increasing common productivity is crucial for improving food security farmers’ incomes globally. This study evaluated the growth yield responses to integrated organic inorganic fertilizers under field conditions at Faculty Agriculture, Kabul University. The trial was repeated over two consecutive growing seasons in 2020 2021, using randomized complete block design with 18 treatments three replications. used included urea (N) (0, 60, 90 kg/ha), diammonium phosphate (D) 50, 100 farmyard manure (O) (0 5000 kg/ha). results show that fertilizers, particularly O5000N60D50, O5000N60D100, O5000N90D50, O5000N90D100, significantly increased parameters. In 2020, grain (p < 0.05) by 75.6, 76.7, 68.4% O5000N90D100 treatments, respectively. O5000N90D50 showed significant increases 94.7, 89.6, 97.9%, strongly correlated SPAD value (r = 0.84), number pods per plant 0.71), seeds pod 0.66) it more 0.91), 0.77), 0.76) 2021. A principal component analysis highlighted effectiveness organic–inorganic fertilizer combinations, enhancing while potentially reducing application. demonstrates integrating enhances sustainable crop reduces negative environmental impacts, regions facing nutrient depletion drought conditions.

Language: Английский

---

Characteristics of the Soil Organic Carbon Pool in Paddy Fields in Guangdong Province, South China

Agriculture, Journal Year: 2024, Volume and Issue: 14(9), P. 1457 - 1457

Published: Aug. 26, 2024

To understand the role of paddy soils in global carbon cycle, it is necessary to analyze characteristics organic pool at different soil depths. It was hypothesized that fractions including labile fraction I (LOCF-I), II (LOCF-II), and recalcitrant (ROC) distributed differently within profile. In this study, collected from 27 typical rice fields Guangdong Province, south China. The field were analyzed compared over a 0–60 cm depth relationship between content physical chemical properties further using correlation analysis structural equation modeling. results showed total concentration increased by 22.1% during last four decades. profile, proportion 67.31 70.31% ROC, 21.75 22.06% LOCF-I, 7.7 10.63% recorded, respectively, indicating ROC dominating fraction. Storage all decreased with increase depth. Correlation path nitrogen main driving factor affecting fractions, whereas pH bulk density indirectly affected influencing nitrogen. imply importance management cultivation.

Language: Английский

---

Assessing the impact of multi-source environmental variables on soil organic carbon in different land use types of China using an interpretable high-precision machine learning method

Ecological Indicators, Journal Year: 2024, Volume and Issue: 169, P. 112865 - 112865

Published: Dec. 1, 2024

Language: Английский

---