Abstract

Topographic factors are critical for influencing vegetation distribution patterns, and studying the interactions between them can enhance our understanding of future vegetation dynamics. We used the Moderate-resolution Imaging Spectroradiometer Normalized Differential Vegetation Index (MODIS NDVI) image dataset (2000–2019), combined with the Digital Elevation Model (DEM), and vegetation type data for trend analysis, and explored NDVI variation and its relationship with topographic factors through an integrated geographically-weighted model in the Three Parallel Rivers Region (TPRR) of southeastern Qinghai-Tibet Plateau (QTP) in the past 20 years. Our results indicated that there was no significant increase of NDVI in the entire basin between 2000–2019, except for the Lancang River basin. In the year 2004, abrupt changes in NDVI were observed across the entire basin and each sub-basin. During 2000–2019, the mean NDVI value of the whole basin increased initially and then decreased with the increasing elevation. However, it changed marginally with variations in slope and aspect. We observed a distinct spatial heterogeneity in vegetation patterns with elevation, with higher NDVI in the southern regions NDVI than those in the north as a whole. Most of the vegetation cover was concentrated in the slope range of 8~35°, with no significant difference in distribution except flat land. Furthermore, from 2000 to 2019, the vegetation cover in the TPRR showed an improving trend with the changes of various topographic factors, with the largest improvement area (36.10%) in the slightly improved category. The improved region was mainly distributed in the source area of the Jinsha River basin and the southern part of the whole basin. Geographically weighted regression (GWR) analysis showed that elevation was negatively correlated with NDVI trends in most areas, especially in the middle reaches of Nujiang River basin and Jinsha River basin, where the influence of slope and aspect on NDVI change was considerably much smaller than elevation. Our results confirmed the importance of topographic factors on vegetation growth processes and have implications for understanding the sustainable development of mountain ecosystems.

Highlights

  • Being an important component of terrestrial ecosystems, vegetation plays a crucial role in maintaining ecosystem stability, functioning, and services [1,2]

  • The spatial distribution of mean NDVI in different elevation zones showed that regional vegetation was affected by elevation showing significant north-south differences (Figure S2a)

  • The proportion of area occupied by each class indicated that the vegetation cover of all elevation zones is dominated by high vegetation cover, especially in the southern regions of the Three Parallel Rivers Region (TPRR)

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Summary

Introduction

Being an important component of terrestrial ecosystems, vegetation plays a crucial role in maintaining ecosystem stability, functioning, and services [1,2]. The dynamics of vegetation patterns is a complex and prolonged process, driven by multiple biotic, abiotic, and Remote Sens. Being one of the most fragile terrestrial ecosystems, mountainous ecosystems are rather sensitive to global climatic change and human activities. A large vertical gradient and unique topographical conditions make mountainous regions the most abundant land unit on the earth and a key area for global biodiversity conservation [4,5]. Vegetation cover change of mountainous ecosystems have a much more significant and sensitive feedback on climate and other factors than plain areas. The analysis of the process and driving factors of mountain vegetation dynamics has always been a key concern amongst global climatic change and mountain research community [6,7]

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