Evaluating the Multidimensional Stability of Regional Ecosystems Using the LandTrendr Algorithm DOI Creative Commons
Lijuan Li, Jiaqiang Du, Jin Wu

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(20), P. 3762 - 3762

Published: Oct. 10, 2024

Stability is a key characteristic for understanding ecosystem processes and evolution. However, research on the stability of complex ecosystems often faces limitations, such as reliance single parameters insufficient representation continuous changes. This study developed multidimensional assessment system regional based disturbances. Focusing lower reaches Yellow River Basin (LR-YRB), we integrated remote sensing ecological index (RSEI) with texture structural parameters, applied Landsat-based detection trends in disturbance recovery (LandTrendr) algorithm to analyze changes disturbances from 1986 2021, facilitating quantification evaluation resistance, resilience, temporal stability. The results showed that 72.27% pixels experienced 1–9 disturbances, indicating region’s sensitivity external factors. maximum primarily lasted 2–3 years, resistance resilience displaying inverse spatial patterns. Over 35-year period, 61.01% exhibited moderate Approximately 59.83% recovered or improved upon returning pre-disturbance conditions after suggesting strong capability. correlation among dimensions was low influenced by intensity, underscoring necessity satellite sensing.

Language: Английский

Evaluating the Multidimensional Stability of Regional Ecosystems Using the LandTrendr Algorithm DOI Creative Commons
Lijuan Li, Jiaqiang Du, Jin Wu

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(20), P. 3762 - 3762

Published: Oct. 10, 2024

Stability is a key characteristic for understanding ecosystem processes and evolution. However, research on the stability of complex ecosystems often faces limitations, such as reliance single parameters insufficient representation continuous changes. This study developed multidimensional assessment system regional based disturbances. Focusing lower reaches Yellow River Basin (LR-YRB), we integrated remote sensing ecological index (RSEI) with texture structural parameters, applied Landsat-based detection trends in disturbance recovery (LandTrendr) algorithm to analyze changes disturbances from 1986 2021, facilitating quantification evaluation resistance, resilience, temporal stability. The results showed that 72.27% pixels experienced 1–9 disturbances, indicating region’s sensitivity external factors. maximum primarily lasted 2–3 years, resistance resilience displaying inverse spatial patterns. Over 35-year period, 61.01% exhibited moderate Approximately 59.83% recovered or improved upon returning pre-disturbance conditions after suggesting strong capability. correlation among dimensions was low influenced by intensity, underscoring necessity satellite sensing.

Language: Английский

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