Affecting of Nature and Human Activities on the Trend of Vegetation Health Indices in Dak Nong Province, Vietnam

• Published in: Sustainability Vol. 15; no. 7; p. 5695
• Main Authors: Hiep, Nguyen Van, Thao, Nguyen Thi Thanh, Viet, Luong Van, Luc, Huynh Cong, Ba, Le Huy
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.04.2023
• Subjects: Agricultural land; Analysis; Climate change; Climatic changes; Discriminant analysis; Drought; Dry season; Economic research; Forests; Growth rate; Independent variables; Information management; Land use; Population density; Population growth; Radiation; Rain; Regression analysis; Rice; Seasons; Social aspects; Soil density; Soil erosion; Surface water; Sustainability; Temperature; Timber; Trends; Vegetation; Vegetation and climate; Vietnam
• ISSN: 2071-1050; 2071-1050
• DOI: 10.3390/su15075695

This study aims to evaluate the effects of natural and human conditions on vegetation covers using VCI and TCI indices (the satellite-based Vegetation Health Indices (VHIs)) in Dak Nong province. Factors affecting the VHIs included in the analysis involve land use, soil, population, topography, distance to roads and surface water. The data analysis period is the dry season from 2000 to 2020. The trend of the VHIs’ change in this study is analyzed using Sen’s method with monitoring data from Modis. The effects of factors affecting the VHIs are based on logistic regression and discriminant analysis. The analysis results show that the VHIs are clear and show both increasing and decreasing trends. Based on logistic regression analysis, the influence of land use types on the trend of the VHIs in the direction of increasing from negative to positive will be from PdF, UnL, AnC, SpF, PtF, PeA and then to PdR. Corresponding to the soil will be from ACa, FRp, FRx, FRr, ACh, LVx, FLg and then to LVg. Based on the discriminant analysis method, it was found that there are only four primary factors affecting the trend of the VHIs in order of decreasing level of closure: population density, land use, soil and population growth rate and to the road. These results show that in places where labour resources are available, plants are interested in investment due to high profits, nutrient-rich soil and convenience for plant care; the VHIs tend to increase and vice versa. Compared with VCI, the trend of TCI tends to be sloping negative and more pessimistic. Through the coefficients of the logistic regression equation and the difference function, the TCI is more sensitive than the VCI when the independent variables change, especially for changes in population density and land use. Thus, TCI can be considered the preferred option for assessing vegetation health trends in the context of climate change.