Abstract

Grassland biomass is the embodiment of grassland productivity, and the material basis for the maintenance of the grassland ecosystem. Grassland is the main vegetation type in the Mongolian Plateau. Grassland changes in the core region of the China–Mongolia–Russia Economic Corridor of the Belt and Road Initiative have an important impact on regional ecology, environmental conservation, and sustainable development. This study established three types of models for estimating grassland production through statistical analysis methods using NDVI, EVI, MSAVI, and PsnNet remote sensing indices retrieved from a Moderate Resolution Imaging Spectroradiometer (MODIS) dataset. This was combined with ground-measured grassland data and meteorological data. Based on model evaluation, the spatial and temporal distribution and variation characteristics of grassland along the Mongolia part of the China–Mongolia Railway were obtained through inversion for the period from 2006 to 2015. The results showed that all the models had good simulation effects. The optimal model was an exponential model based on MSAVI—with its simulation accuracy reaching 78%. Grassland production in the study area has increased slightly in the past ten years, with little change in the first five years and a fluctuating increase in the next five years. The average grassland production (per unit production) in the past ten years was 3400.39 kg/ha and the average total production was 9707.88 × 104 t. Grassland production increased slightly in most areas along the railway, and in some areas it continued to decline. The regional spatial distribution of increased and decreased grassland production was significantly different. With better grassland resources in the northeastern part of the study area—the area around Chinggis City and the capital of Hentiy Province—had the most significant growth. However, the southern Gobi area—with its trend towards land degradation in the area where the southern Gobi and desert steppe transitions to steppe and dry steppe—had a significant decrease. This meant that the risk of grassland degradation still existed. There were also quantitative and spatial differences in the areas where grassland production decreased on both sides of the railway. The decrease in grassland production on the western side of the railway was more obvious than on the eastern side, and the reduction area was dispersed on the western side and relatively concentrated on the eastern side. In future research, the identification of key areas of grassland degradation along the China–Mongolia Railway as well as its driving forces should be investigated further.

Highlights

  • The grassland ecosystem is one of the most important terrestrial ecosystems on earth

  • The correlation analysis results showed that the grassland production was significantly correlated with the four remote sensing indices and the correlation coefficient was above 0.75, followed by mean annual precipitation and mean annual temperature, with correlation coefficients of 0.645 and −0.477, respectively (Table 1)

  • This study used statistical regression methods combined with ground observation data and Moderate Resolution Imaging Spectroradiometer (MODIS) remote sensing data of the same period to monitor grassland production change in Mongolia along the China–Mongolia Railway, and to reflect continuous change and differences in the spatial and temporal distribution of grassland production

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Summary

Introduction

The grassland ecosystem is one of the most important terrestrial ecosystems on earth It is an important geographical and ecological boundary but is the main material basis for the development of animal husbandry [1,2]. The China–Mongolia–Russia Economic Corridor is one of the key corridors proposed by the Belt and Road Initiative [4]. It entered the substantive promotion stage in 2015, and is an important bridge for linking China, Mongolia, Russia, and the European economic circle. Strengthening the monitoring of grassland resources in this area is highly important for the sustainable development of grassland ecosystems in the Belt and Road region

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