NDVI-Based analysis on the influence of human activities on vegetation variation on Hainan Island

Luo, Hongxia; Dai, Shengpei; Xie, Zhenghui; Fang, Jihua

doi:10.1088/1755-1315/121/3/032045

Cited by 9 publications

(5 citation statements)

References 3 publications

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“…Therefore, the NDVI values have increased in those areas reaching levels higher to be more than 0.5. These variability changes in the NDVI values were attributed to some factors, including human influences on management methods of land resource, type and quality of fertilization (minerals or organic), plant status, growth stage, and biomass and photosynthesis intensity [48]. Contrariwise, the effect of the urban sprawl at the north and west of the study area revealed a decrease of the NDVI values, mainly occurring in scattered areas.…”

Section: Ndvi Changes and Human Activitymentioning

confidence: 88%

Evaluating the Effects of Human Activity over the Last Decades on the Soil Organic Carbon Pool Using Satellite Imagery and GIS Techniques in the Nile Delta Area, Egypt

et al. 2019

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The study aims to clarify the relationship between soil organic carbon (SOC) and human activity under arid conditions, in the east area of the Nile Delta, Egypt. SOC is one of the critical factors in food production and plays an important role in the climate change because it affects the physio-chemical soil characteristics, plant growth, and contributes to sustainable development on global levels. For the purpose of our investigations, 120 soil samples (0–30 cm) were collected throughout different land uses and soil types of the study area. Multiple linear regressions (MLR) were used to investigate the spatiotemporal relationship of SOC, soil characteristics, and environmental factors. Remote sensing data acquired from Landsat 5 TM in July 1995 and operational land imager (OLI) in July 2018 were used to model SOC pool. The results revealed significant variations of soil organic carbon pool (SOCP) among different soil textures and land-uses. Soil with high clay content revealed an increase in the percentage of soil organic carbon, and had mean SOCP of 6.08 ± 1.91 Mg C ha−1, followed by clay loams and loamy soils. The higher values of SOCP were observed in the northern regions of the study area. The phenomenon is associated with the expansion of the human activity of initiating fish ponds that reflected higher values of SOC that were related to the organic additions used as nutrients for fish. Nevertheless, the SOC values decreased in southeast of the study area with the decrease of soil moisture contents and the increase in the heavy texture profiles. As a whole, our findings pointed out that the human factor has had a significant impact on the variation of soil organic carbon values in the Eastern Nile Delta from 1995 to 2018. As land use changes from agricultural activity to fish ponds, the SOCP significantly increased. The agriculture land-use revealed higher SOCP with 60.77 Mg C ha−1 in clay soils followed by fish ponds with 53.43 Mg C ha−1. The results also showed a decrease in SOCP values due to an increasing in land surface temperature (LST) thus highlighting that influence of temperature and ambient soil conditions linked to land-use changes have a marked impact on surface SOCP and C sequestration.

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Section: Ndvi Changes and Human Activitymentioning

confidence: 88%

Evaluating the Effects of Human Activity over the Last Decades on the Soil Organic Carbon Pool Using Satellite Imagery and GIS Techniques in the Nile Delta Area, Egypt

et al. 2019

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“…NDVI variations are jointly affected by climate variability and human activities [ 64 , 66 , 67 ]. However, the impact of human activities on the NDVI of deserts is difficult to assess by using only one indicator or several indicators.…”

Section: Methodsmentioning

confidence: 99%

China’s deserts greening and response to climate variability and human activities

Liu

Xin

2021

PLoS ONE

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Vegetation, which is a good indicator of the impacts of climate variability and human activities, can reflect desert ecosystem dynamics. To reveal the vegetation variations in China’s deserts, trends in the monthly, seasonal, and annual normalized difference vegetation index (NDVI) from 2000 to 2017 were measured both temporally and spatially by the Theil-Sen estimator and Mann-Kendall test. Additionally, correlation coefficients and residual analysis were employed to evaluate the correlations between the NDVI and climatic factors and to distinguish the impacts of climate variability and human activities. The results showed that China’s deserts underwent greening. The annual NDVI showed a significant increasing trend at a rate of 0.0018/yr, with values of 0.094 in 2000 and 0.126 in 2017. Significant increasing trends in NDVI were observed in all four seasons. The NDVI were higher in summer and autumn than in spring and winter. Both the monthly NDVI and its trends showed an inverted U-shaped curve during the year. Spatially, the greening trends were mainly distributed on the southern edge of the Gurbantunggut Desert, in the northwestern part of the Taklimakan Desert, and in the Kubuqi Desert. The correlations between the NDVI and climatic factors at the monthly and seasonal scales were stronger than those at the annual scale. Temperature and precipitation had positive effects on NDVI at the monthly and seasonal scales, but only precipitation had a positive effect at the annual scale. Human activities, especially oasis expansion and sand stabilization measures, were two major causes of large increasing areas of desert greening in China indicated by the NDVI.

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“…Furthermore, we applied the same techniques to calculate soil moisture using the GLDAS dataset. The widely used residual trend (RESTREND) method (Higginbottom and Symeonakis, 2014;Ibrahim et al, 2015;Luo et al, 2018;Zhou et al, 2019) is adopted to assess the changes in land degradation/improvement processes in ASB during the growing season. In order to use RESTREND, we calculated each pixel of NDVI and climate factors (temperature, precipitation, and soil moisture).…”

Section: Residual Trend Analysismentioning

confidence: 99%

“…In the next step, the residual difference between the historical NDVI and expected NDVI is calculated using the linear regression model with either temperature, precipitation, and soil moisture as the explanatory variable (Ibrahim et al, 2015) as evident from Eq. 1 which was previously used by (Evans and Geerken, 2004;Roland and Mohammad, 2004;Luo et al, 2018).…”

Section: Residual Trend Analysismentioning

confidence: 99%

Identifying Land Degradation and its Driving Factors in the Aral Sea Basin From 1982 to 2015

Berdimbetov

Shelton

et al. 2021

Front. Earth Sci.

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Land degradation is one of the critical ecological issue in the Aral Sea Basin (ASB). This study investigates land degradation in ASB during 1982–2015 using the Normalized Difference Vegetation Index (NDVI) as a proxy. The residual trend (RESTREND) for temperature, precipitation, soil moisture adjusted NDVI has been applied to identify the land degradation in ASB and quantify the contribution of climate factors such as temperature and rainfall. In addition, a binary logistic regression model is adopted to assess the contributions of land transition, socio-economic, and topographical conditions on land degradation. Based on RESTREND, the relative contribution of precipitation (30.2%), soil moisture (23%), and temperature (11.4%) indicates that precipitation is one of the main driving factors of land degradation. The results further revealed that 36.5% of ASB is degraded, which is mostly concentrated in the lower part of the ASB. In contrast, 33.2% of ASB depicts land improvement, especially in the upper part of the basin. According to the land transition assessment, 66.6% of the water area and 11.68% of forest converted to barren land and shrubland during the study period, respectively. The binary logistic regression model demonstrated water and forest area transitions into shrubland and barren land as the major contributors of contemporary land degradation in ASB. Cropland recorded a net increment by 2.69% of its initial area, and the abandoned cropland converted to shrubland and barren lands that negatively impacted land cover change. This in-depth analysis of land degradation can assist in designing pragmatic policy interventions for implementing land restoration plans in the area.

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NDVI-Based analysis on the influence of human activities on vegetation variation on Hainan Island

Cited by 9 publications

References 3 publications

Evaluating the Effects of Human Activity over the Last Decades on the Soil Organic Carbon Pool Using Satellite Imagery and GIS Techniques in the Nile Delta Area, Egypt

Evaluating the Effects of Human Activity over the Last Decades on the Soil Organic Carbon Pool Using Satellite Imagery and GIS Techniques in the Nile Delta Area, Egypt

China’s deserts greening and response to climate variability and human activities

Identifying Land Degradation and its Driving Factors in the Aral Sea Basin From 1982 to 2015

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