ArticlePeerJ2026
Temporal and spatial dynamics of Net Primary Productivity and prediction of wetland carbon sequestration potential on the Tibetan Plateau.
Article in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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10 authors.
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Abstract
Background: Investigating the carbon sequestration potential of wetlands and the dynamics of net primary productivity (NPP) on the Tibetan Plateau of China enhances understanding of their contributions to global carbon emission reduction and their role in maintaining biodiversity and ecosystem stability. Vegetation NPP is a key indicator of carbon sequestration; however, existing research has largely focused on historical dynamics, with limited studies projecting future trends. This gap impedes proactive conservation and climate mitigation strategies. Methods: Here, we predicted the spatial distribution of normalized difference vegetation index (NDVI) on the Tibetan Plateau for 2025-2030, employing a backpropagation neural network and Kriging interpolation fitting. We estimated spatial and temporal dynamics of NPP and wetland carbon sequestration potentials during the same period using the Carnegie-Ames-Stanford Approach model. Furthermore, we investigated the effects of land use and climate on NPP. Results: Key findings were: (1) NDVI distribution was higher in the southeast than in the northwest, with temperature influencing its value. (2) Spatial distribution of NPP on the Tibetan Plateau exhibits a typical landscape pattern of "patch-corridor-matrix." The maximum NPP of vegetation was 1,112.82 gC ⋅ m
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