Assessment of drought characteristics and its impacts on net primary productivity (NPP) in southeastern Tunisia

Bayouli, Olfa Terwayet; Zhang, Wanchang; Bayouli, Houssem Terwayet

doi:10.1007/s12517-022-11091-5

Cited by 5 publications

(2 citation statements)

References 89 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similar findings were also reported from Europe and West Africa (Bonaccorso et al, 2013;Bayissa et al, 2021). The drought severity detected with the VHI was consistent with the drought events identified using the SPI in the same region (Terwayet Bayouli et al, 2023). Thus, the VHI is conceived as a reliable indicator for drought monitoring in Tunisia.…”

Section: Investigation Of the Relationship Between Droughts And Soil ...supporting

confidence: 87%

Combining RUSLE model and the vegetation health index to unravel the relationship between soil erosion and droughts in southeastern Tunisia

Terwayet Bayouli,

Zhang,

Terwayet Bayouli

2023

J. Arid Land

Self Cite

View full text Add to dashboard Cite

Droughts and soil erosion are among the most prominent climatic driven hazards in drylands, leading to detrimental environmental impacts, such as degraded lands, deteriorated ecosystem services and biodiversity, and increased greenhouse gas emissions. In response to the current lack of studies combining drought conditions and soil erosion processes, in this study, we developed a comprehensive Geographic Information System (GIS)-based approach to assess soil erosion and droughts, thereby revealing the relationship between soil erosion and droughts under an arid climate. The vegetation condition index (VCI) and temperature condition index (TCI) derived respectively from the enhanced vegetation index (EVI) MOD13A2 and land surface temperature (LST) MOD11A2 products were combined to generate the vegetation health index (VHI). The VHI has been conceived as an efficient tool to monitor droughts in the Negueb watershed, southeastern Tunisia. The revised universal soil loss equation (RUSLE) model was applied to quantitatively estimate soil erosion. The relationship between soil erosion and droughts was investigated through Pearson correlation. Results exhibited that the Negueb watershed experienced recurrent mild to extreme drought during 2000–2016. The average soil erosion rate was determined to be 1.8 t/(hm2·a). The mountainous western part of the watershed was the most vulnerable not only to soil erosion but also to droughts. The slope length and steepness factor was shown to be the most significant controlling parameter driving soil erosion. The relationship between droughts and soil erosion had a positive correlation (r=0.3); however, the correlation was highly varied spatially across the watershed. Drought was linked to soil erosion in the Negueb watershed. The current study provides insight for natural disaster risk assessment, land managers, and stake-holders to apply appropriate management measures to promote sustainable development goals in fragile environments.

show abstract

Section: Investigation Of the Relationship Between Droughts And Soil ...supporting

confidence: 87%

Combining RUSLE model and the vegetation health index to unravel the relationship between soil erosion and droughts in southeastern Tunisia

Terwayet Bayouli,

Zhang,

Terwayet Bayouli

2023

J. Arid Land

Self Cite

View full text Add to dashboard Cite

show abstract

“…Chinese scholars have also conducted relevant research and proposed models such as the Zhou Guangsheng-Zhang Xinshi and Zhu Zhihui models [27,28]. In the progress of spatiotemporal evolution research, domestic and international scholars have conducted extensive research on vegetation conditions using vegetation NPP data based on different spatiotemporal scales; for example, in regions such as the western United States [29], southeastern Tunisia [30], Japan [31], Greenland [32], the entire territory of China [33], the eastern part of East China [34], the northwestern region [35], and the Yangtze River Basin [36]. However, due to the influence of variations in vegetation's physiological characteristics, NPP exhibits significant spatiotemporal heterogeneity at different regional scales [37], making it challenging to determine the driving mechanisms behind spatiotemporal changes in NPP at the regional scale [38][39][40].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Spatiotemporal Evolution and Influencing Factors of Vegetation Net Primary Productivity in the Yellow River Basin from 2000 to 2022

Tian,

Liu,

Zhang

et al. 2023

Sustainability

View full text Add to dashboard Cite

The Yellow River Basin (YRB) plays a very important role in China’s economic and social development and ecological security, so studying the spatiotemporal variation characteristics of net primary productivity (NPP) and its influencing factors is of great significance for protecting the stable development of its ecological environment. This article takes the YRB as the research area, based on Moderate Resolution Imaging Spectroradiometer (MODIS) data, climate data, terrain data, land data, social data, and the gravity recovery and climate experiment (GRACE) data. The spatiotemporal evolution characteristics of vegetation NPP in the YRB from 2000 to 2022 were explored using methods such as trend analysis, correlation analysis, and geographic detectors, and the correlation characteristics of NPP with meteorological factors, social factors, and total water storage (TWS) were evaluated. The results indicate that the NPP of vegetation in the YRB showed an increasing trend (4.989 gC·m−2·a−1) from 2000 to 2022, with the most significant changes occurring in the middle reaches of the YRB. The correlation coefficient indicates that temperature and accumulated temperature have a significant positive impact on the change of NPP, while TWS has a significant negative impact. In the study of the factors affecting vegetation NPP in the YRB, the most influential factors are soil type (0.48), precipitation (0.46), and temperature (0.32). The strong correlation between TWS and vegetation NPP in the YRB is about 39%, with a contribution rate of about 0.12, which is a factor that cannot be ignored in studying vegetation NPP changes in the YRB.

show abstract

Compensatory response of ecosystem carbon-water cycling following severe drought in Southwestern China

Ma¹,

Yang²,

Hui³

et al. 2023

Science of The Total Environment

View full text Add to dashboard Cite

Assessment of drought characteristics and its impacts on net primary productivity (NPP) in southeastern Tunisia

Cited by 5 publications

References 89 publications

Combining RUSLE model and the vegetation health index to unravel the relationship between soil erosion and droughts in southeastern Tunisia

Combining RUSLE model and the vegetation health index to unravel the relationship between soil erosion and droughts in southeastern Tunisia

Analysis of Spatiotemporal Evolution and Influencing Factors of Vegetation Net Primary Productivity in the Yellow River Basin from 2000 to 2022

Compensatory response of ecosystem carbon-water cycling following severe drought in Southwestern China

Contact Info

Product

Resources

About