Understanding drivers of the spatial variability of soil organic carbon in China's terrestrial ecosystems

Land Degradation and Development, Год журнала: 2023, Номер 35(1), С. 308 - 320

Опубликована: Сен. 20, 2023

Abstract The carbon balance of the global ecosystems is significantly influenced by soil organic (SOC) pool in China's terrestrial ecosystems. Nevertheless, current understanding main controlling factors SOC different and their discrepancies limited. goal this research was to better understand human environmental variables affecting We designed a conceptual framework using 2674 samples collected from four (grasslands, shrublands, wetlands, croplands) China during 2000–2014 period, combining geodetector multiple regression (MR) approaches investigate effects conditions, activity, interplay on surface (0–20 cm). Results showed that there were large strength influencing among Total nitrogen (TN), mean annual temperature (MAT), bulk density (BD) major grasslands. BD, TN, pH dominated shrublands. For stocks primarily attributed maximum (TMMX), MAT, potential evapotranspiration (PET). Croplands are predominantly controlled minimum (TMMN), TN. These results highlight natural factors, particularly climatic characteristics, dominant This work also highlights interaction two especially, pairs characteristics climate can well explain drivers China. Our study emphasizes spatial heterogeneity influence ecosystems, enhancing knowledge at national level, providing guideline for devising policy improve C sequestration mitigate changes.

Язык: Английский

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Variation of Soil Organic Carbon Stocks with Land Use and Elevation Gradient on the Eastern Slopes of Mount Kenya

Опубликована: Янв. 1, 2024

Understanding the influence of land use and elevation gradient on soil organic carbon stocks (SOCS) is essential for effective management, sustainable agricultural practices, mitigation climate change impacts. This research aimed to explore how types gradients SOCS eastern slopes Mount Kenya. Using a stratified systematic sampling approach, 68 samples were collected from 0–20 20–40 cm depths, representing forestland farmland, across six ranging 1000 2650 m above sea level (a.s.l.). Soil analysed bulk density (BD), pH, texture, concentration (SOC), total nitrogen (TN) using standard methods. The results showed that significantly higher (p<0.001) in forest compared farms. ranged 87.40 168.75 Mg ha−1 at 38.31 148.58 depths. On other hand, farmland depths range 21.86 50.38 17.27 49.84 ha−1, respectively. generally exhibited declining trend with increasing depth both types. Elevation-wise, mean aggregated 0–40 29.21 ± 5.6 lower (1000–1200 a.s.l) 141.75 17.4 upper (2350–2650 a.s.l). There was an increase (r² = 0.78). A significant positive correlation observed among studied parameters between SOCS, SOC TN. In contrast, negative existed BD, temperature outcomes this investigation provide foundational data monitoring Kenya ecosystem. It serves as basis future assessments management strategies promote health enhance measures.

Язык: Английский

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Divergent response of upper layer soil organic and inorganic carbon to biotic and abiotic factors in afforestation by aerial seeding in desert, China

CATENA, Год журнала: 2024, Номер 246, С. 108383 - 108383

Опубликована: Сен. 14, 2024

Язык: Английский

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Land degradation assessment in South Punjab, Pakistan: a comparative analysis of rain use efficiency and weighted overlay methods

GeoJournal, Год журнала: 2024, Номер 90(1)

Опубликована: Дек. 30, 2024

Язык: Английский

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Comparison of Soil Organic Matter in Pure and Mixed Types of Oak in North Zagros (Case Study: Armardeh Baneh Forests)

Risālaẗ al-Ḥusayn., Год журнала: 2024, Номер 12(1), С. 50 - 62

Опубликована: Май 1, 2024

Язык: Английский

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