Vegetative Response to Meteorological Factors in a Desert Oasis Area Based on Principal Component Analysis

Based on the principal component analysis, we aimed to explore the mechanism for dynamics of oasis vegetation coverage on the basis of related meteorological factors. According to the six indicators including the annual precipitation, annual evaporation, average humidity, average wind speed, average temperature, and annual sunshine hour, two independent principal components such as annual evaporation and average temperature were extracted, with the cumulative variance contribution rate of 85.84%. The driving mechanism of meteorological drought in the whole desert oasis area was analyzed. The results showed that during the study period the annual evapotranspiration, average temperature, precipitation and humidity had greater influence on vegetation coverage dynamics than other two meteorological factors such as annual sunshine hours and wind speed. The partial correlation analysis indicated that the vegetative index was positively correlated with the average temperature (X5) and average humidity (X3) with the partial correlation coefficients and the correlation coefficient of 0.98, 0.977, and -0.901 respectively. However, the vegetative index was negatively correlated with the annual evaporation (X2) with the coefficient of -0.901. Therefore, the present work supplemented the effects of evaporation and humidity on the vegetative index, and we proposed that when the external drought weather conditions was not under control effectively, the manual intervention would still be the first choice to improve the vegetation coverage, which was to provide theoretical gists for vegetation growth and ecological restoration in desert oasis area.

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Publication Details

Journal
GBP Proceedings Series
Published
2025-05-14
DOI
https://doi.org/10.70088/gxs0rg28
Primary Topic
Remote Sensing and Land Use
Type
article
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article

Vegetative Response to Meteorological Factors in a Desert Oasis Area Based on Principal Component Analysis

Xietian Chen, Hengjia Zhang, Yuanyuan Shi, Haiyan Li
GBP Proceedings Series
Remote Sensing and Land Use
article

Vegetative Response to Meteorological Factors in a Desert Oasis Area Based on Principal Component Analysis

Xietian Chen, Hengjia Zhang, Yuanyuan Shi, Haiyan Li
article en

Abstract

Based on the principal component analysis, we aimed to explore the mechanism for dynamics of oasis vegetation coverage on the basis of related meteorological factors. According to the six indicators including the annual precipitation, annual evaporation, average humidity, average wind speed, average temperature, and annual sunshine hour, two independent principal components such as annual evaporation and average temperature were extracted, with the cumulative variance contribution rate of 85.84%. The driving mechanism of meteorological drought in the whole desert oasis area was analyzed. The results showed that during the study period the annual evapotranspiration, average temperature, precipitation and humidity had greater influence on vegetation coverage dynamics than other two meteorological factors such as annual sunshine hours and wind speed. The partial correlation analysis indicated that the vegetative index was positively correlated with the average temperature (X5) and average humidity (X3) with the partial correlation coefficients and the correlation coefficient of 0.98, 0.977, and -0.901 respectively. However, the vegetative index was negatively correlated with the annual evaporation (X2) with the coefficient of -0.901. Therefore, the present work supplemented the effects of evaporation and humidity on the vegetative index, and we proposed that when the external drought weather conditions was not under control effectively, the manual intervention would still be the first choice to improve the vegetation coverage, which was to provide theoretical gists for vegetation growth and ecological restoration in desert oasis area.

GBP Proceedings SeriesVol. 4
Gansu Agricultural University (CN), Liaocheng University (CN)
Openalex Percentile: Top 79%
Remote Sensing and Land Use
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Vegetative Response to Meteorological Factors in a Desert Oasis Area Based on Principal Component Analysis — Xietian Chen, Hengjia Zhang, et al. · GBP Proceedings Series (2025) | TGRS Research Map | TGRS