Short-term cultivation limiting soil aggregate stability and macronutrient accumulation associated with glomalin-related soil protein in Eucalyptus urophylla × Eucalyptus grandis plantations

Wang, Ye; He, Chu; Shi, Yutian; Li, Hui; Tang, Yabin; Chen, Bo‐Hao; Ke, Qin; Wu, Lichao; Chen, Lijun

doi:10.1016/j.scitotenv.2023.163187

Cited by 13 publications

(2 citation statements)

References 68 publications

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“…To ensure that the changes at the beginning and end of the window could be accurately detected, we used a moving step size of 1 year for the sliding time window. A time series with a time length m is represented as follows: Y = (y(t1), y(t2), …, y(tm)) (1) where y(ti) are data obtained at time ti and the acquisition time ti is strictly increased.…”

Section: Sliding-time-window Principle and Width Determinationmentioning

confidence: 99%

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Historical Dynamic Mapping of Eucalyptus Plantations in Guangxi during 1990–2019 Based on Sliding-Time-Window Change Detection Using Dense Landsat Time-Series Data

Li,

Liu,

Liu

et al. 2024

Remote Sensing

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Eucalyptus plantations are expanding rapidly in southern China owing to their short rotation periods and high wood yields. Determining the plantation dynamics of eucalyptus plantations facilitates accurate operational planning, maximizes benefits, and allows the scientific management and sustainable development of eucalyptus plantations. This study proposes a sliding-time-window change detection (STWCD) approach for the holistic characterization and analysis of eucalyptus plantation dynamics between 1990 and 2019 through dense Landsat time-series data. To achieve this, pre-processing was first conducted to obtain high-quality reflectance data and the monthly composite maximum normalized-difference vegetation index (NDVI) time series was determined for each Landsat pixel. Second, a sliding time window was used to segment the time series and obtain the NDVI change characteristics of the subsequent segments, and a sliding time window-based LandTrendr change detection algorithm was applied to detect the crucial growth or harvesting phases of the eucalyptus plantations. Third, pattern-matching technology was adopted based on the change detection results to determine the characteristics of the eucalyptus planting dynamics. Finally, we identified the management history of the eucalyptus plantations, including planting times, generations, and rotation cycles. The overall accuracy of eucalyptus identification was 90.08%, and the planting years of the validation samples and the planting years estimated by our algorithm revealed an apparent correlation of R2 = 0.98. The results showed that successive generations were mainly first- and second-generations, accounting for 75.79% and 19.83% of the total eucalyptus area, respectively. The rotation cycles of the eucalyptus plantations were predominantly in the range of 4–8 years. This study provides an effective approach for identifying eucalyptus plantation dynamics that can be applied to other short-rotation plantations.

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Section: Sliding-time-window Principle and Width Determinationmentioning

confidence: 99%

“…Eucalyptus, a tree species predominantly native to Australia and its northern island, has been widely introduced in many countries because of its high productivity [1][2][3]. The cultivation of eucalyptus follows a pattern of short-period and pure-forest succession worldwide [4].…”

Section: Introductionmentioning

confidence: 99%

Historical Dynamic Mapping of Eucalyptus Plantations in Guangxi during 1990–2019 Based on Sliding-Time-Window Change Detection Using Dense Landsat Time-Series Data

Li,

Liu,

Liu

et al. 2024

Remote Sensing

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Seasonality and Activity of Arbuscular Mycorrhizal Fungi in the Rhizosphere of Endemic Tree Species

Lambais,

de Souza,

Késsia

et al. 2024

Journal of Basic Microbiology

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This study analyzed arbuscular mycorrhizal fungi (AMF) activity and soil chemical properties in Aspidosperma pyrifolium, Bauhinia ungulata, Caesalpinia pyramidalis, and Caesalpinia ferrea. AMF spores, root colonization, total glomalin‐related soil protein (T‐GRSP), easily extracted GRSP (EE‐GRSP), and soil chemical properties were measured four times (July 2019, 2020 and December 2019, 2020). Significant differences were observed in AMF spores, root colonization, T‐GRSP, and EE‐GRSP among the plant species and across seasons. For soil chemical properties, we observed differences among plant species. During the dry season, B. ungulata and C. pyramidalis had the highest AMF spores and root colonization (57.3 ± 0.27 spores 50 g soil−1 and 48.8 ± 1.05, respectively), whereas during the rainy season, C. pyramidalis and C. ferrea showed the highest AMF spores and root colonization (36.6 ± 0.13 spores 50 g soil−1 and 62.2 ± 1.17, respectively). A. pyrifolium showed the highest T‐GRSP in both seasons. On the basis of the soil chemical properties, we found that (i) A. pyrifolium, B. ungulata, and C. ferrea showed the highest soil organic carbon (1.32 ± 0.03 g kg−1), phosphorus (7.01 ± 0.26 mg kg−1), and soil pH (5.85 ± 0.23) and (ii) C. pyramidalis showed the highest Ca2+, Mg2+, Na+, H+ + Al3+, K+, and soil total nitrogen (1.36 ± 0.04, 0.73 ± 0.01, 3.72 ± 0.85, 4.56 ± 0.12 cmolc kg−1, 15.43 ± 1.53 mg kg−1, and 0.16 ± 0.01 g kg−1, respectively). Our results highlight the advantage of AMF spores as perennating structures over other AM fungal propagules in seasonal vegetation like Caatinga.

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Leguminous cover orchard improves soil quality, nutrient preservation capacity, and aggregate stoichiometric balance: A 22-year homogeneous experimental site

Li,

Liu,

Duan

et al. 2024

Agriculture, Ecosystems & Environment

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Short-term cultivation limiting soil aggregate stability and macronutrient accumulation associated with glomalin-related soil protein in Eucalyptus urophylla × Eucalyptus grandis plantations

Cited by 13 publications

References 68 publications

Historical Dynamic Mapping of Eucalyptus Plantations in Guangxi during 1990–2019 Based on Sliding-Time-Window Change Detection Using Dense Landsat Time-Series Data

Historical Dynamic Mapping of Eucalyptus Plantations in Guangxi during 1990–2019 Based on Sliding-Time-Window Change Detection Using Dense Landsat Time-Series Data

Seasonality and Activity of Arbuscular Mycorrhizal Fungi in the Rhizosphere of Endemic Tree Species

Leguminous cover orchard improves soil quality, nutrient preservation capacity, and aggregate stoichiometric balance: A 22-year homogeneous experimental site

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