Temporal and spatial dynamics of Net Primary Productivity and prediction of wetland carbon sequestration potential on the Tibetan Plateau

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<sup>-2</sup> ⋅ a<sup>-1</sup> for 2025-2030. Projections of NPP for 2025-2030 suggest an increase of approximately 50% relative to current levels by 2045, indicating a substantial enhancement of the carbon sink potential over the coming two decades. (3) Carbon sequestration potential of wetlands on the Plateau ranges from 0 to 100 gC ⋅ m<sup>-2</sup> ⋅ a<sup>-1</sup>, with high carbon sink potential concentrated near Palong Tsangpo, the largest tributary of the Yarlung Tsangpo River. (4) Woodland NPP has the highest mean value and rate of change. Furthermore, analysis of 2025 land use data shows that forestland and grassland are the dominant land cover types in the Yunnan, Sichuan, and Southeastern Xizang Sections of the Qinghai-Tibet Plateau. Their high proportions correspond significantly to high regional NDVI values, indicating the spatial heterogeneity of NDVI distribution is driven by land cover changes rather than directional factors. (5) Correlation analysis indicated strong positive correlations between precipitation and solar radiation with NPP. NPP does not increase or decrease with increasing temperature; instead, it tends to increase within suitable temperature ranges.

Authors

Institutions

Publication Details

Journal
PeerJ
Published
2026-02-04
DOI
https://doi.org/10.7717/peerj.20758
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Temporal and spatial dynamics of Net Primary Productivity and prediction of wetland carbon sequestration potential on the Tibetan Plateau

Lei Cao, Zhuoma Pubu, Hongmei Ma, Shi Wei Dong et al.
PeerJ
Remote Sensing in Agriculture
article

Temporal and spatial dynamics of Net Primary Productivity and prediction of wetland carbon sequestration potential on the Tibetan Plateau

Lei Cao, Zhuoma Pubu, Hongmei Ma, Shi Wei Dong, Yonghua Zhao, Yuyan Wang, Pengxi Cao, Danni Ma, Xingran Li, Wei Li
article en

Abstract

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<sup>-2</sup> ⋅ a<sup>-1</sup> for 2025-2030. Projections of NPP for 2025-2030 suggest an increase of approximately 50% relative to current levels by 2045, indicating a substantial enhancement of the carbon sink potential over the coming two decades. (3) Carbon sequestration potential of wetlands on the Plateau ranges from 0 to 100 gC ⋅ m<sup>-2</sup> ⋅ a<sup>-1</sup>, with high carbon sink potential concentrated near Palong Tsangpo, the largest tributary of the Yarlung Tsangpo River. (4) Woodland NPP has the highest mean value and rate of change. Furthermore, analysis of 2025 land use data shows that forestland and grassland are the dominant land cover types in the Yunnan, Sichuan, and Southeastern Xizang Sections of the Qinghai-Tibet Plateau. Their high proportions correspond significantly to high regional NDVI values, indicating the spatial heterogeneity of NDVI distribution is driven by land cover changes rather than directional factors. (5) Correlation analysis indicated strong positive correlations between precipitation and solar radiation with NPP. NPP does not increase or decrease with increasing temperature; instead, it tends to increase within suitable temperature ranges.

PeerJVol. 14
Qinghai Tibetan Hospital (CN), Tibet Autonomous Region People's Hospital (CN), Institute of Tibetan Plateau Research (CN)
Climate action
Openalex Percentile: Top 70%
Remote Sensing in Agriculture
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.