Abstract

In this study, MODIS normalized difference vegetation index (NDVI), TRMM3B43 precipitation, and MOD11A2 land-surface temperature (LST) data were used as data sources in an analysis of temporal and spatial characteristics of vegetation changes and ecological environmental quality in the Huaihe River basin, China, from 2003 to 2018. The Mann–Kendall (MK) non-parametric test and the Theil–Sen slope test were combined for this analysis; then, when combined with the results of the MK mutation test and two introduced indexes, the kurtosis coefficient (KU) and skewness (SK) and correlations between NDVI, precipitation (TRMM), and land-surface temperature (LST) in different time scales were revealed. The results illustrate that the mean NDVI in the Huaihe River basin was 0.54. The annual NDVImax curve fluctuations for different land cover types were almost the same. The main reasons for the decrease in or disappearance of vegetation cover in the Huaihe River basin were the expansion of towns and impact of human activities. Furthermore, vegetation cover around water areas was obviously degraded and wetland protections need to be strengthened urgently. On the same time scale, change trends of NDVI, TRMM, and LST after abrupt changes became consistent within a short time period. Vegetation growth was favored when the KU and SK of TRMM had a close to normal distribution within one year. Monthly TRMM and LST can better reflect NDVI fluctuations compared with seasonal and annual scales. When the precipitation (TRMM) is less than 767 mm, the average annual NDVI of different land cover types is not ideal. Compared with other land cover types, dry land has stronger adaptability to changes in the LST when the LST is between 19 and 22.6 °C. These trends can serve as scientific reference for protecting and managing the ecological environment in the Huaihe River basin.

Highlights

  • Vegetation has obvious characteristics of interannual and seasonal variations and is the natural link connecting the atmosphere, water, and soil

  • By means of the MK mutation test, time-series data of normalized difference vegetation index (NDVI), TRMM, and land-surface temperature (LST) on different time scales were tested for mutations, so as to identify the year when mutations occurred and obtain potential information

  • The correlation coefficients of NDVI, TRMM and LST at different time scales were combined to analyze their differences at those time scales

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Summary

Introduction

Vegetation has obvious characteristics of interannual and seasonal variations and is the natural link connecting the atmosphere, water, and soil. It plays very important roles in maintaining soil, regulating the atmosphere, and maintaining ecosystem stability [1,2]. Spatiotemporal variation characteristics of the NDVI in the study area can be used to monitor and evaluate vegetation growth and the regional ecological environment [4,5]. Compared with the other two products, MODIS NDVI products have higher temporal and spatial resolution, wide-coverage, and easy access, and are important data sources for scholars to study vegetation cover changes over long time series’ and monitor vegetation growth [9,10]. Different vegetation types are important factors that affect the spatial distribution of the NDVI [13,14]

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