Detection of the Contribution of Vegetation Change to Global Net Primary Productivity: A Satellite Perspective
Exploring NPP changes and their corresponding drivers is significant for the achievement of sustainable ecosystem management and in addressing climate change. This study aimed to explore the spatiotemporal variation in NPP and analyze the effects of vegetation and climate change on the global NPP fr...
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| Format: | Article | 
| Language: | English | 
| Published: | MDPI AG
    
        2024-12-01 | 
| Series: | Remote Sensing | 
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| Online Access: | https://www.mdpi.com/2072-4292/16/24/4692 | 
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| author | Xiaoqing Hu Huihui Feng Yingying Tang Shu Wang Shihan Wang Wei Wang Jixian Huang | 
| author_facet | Xiaoqing Hu Huihui Feng Yingying Tang Shu Wang Shihan Wang Wei Wang Jixian Huang | 
| author_sort | Xiaoqing Hu | 
| collection | DOAJ | 
| description | Exploring NPP changes and their corresponding drivers is significant for the achievement of sustainable ecosystem management and in addressing climate change. This study aimed to explore the spatiotemporal variation in NPP and analyze the effects of vegetation and climate change on the global NPP from 2003 to 2020. Methodologically, the Theil–Sen and Mann–Kendall methods were used to study the spatiotemporal characteristics of global NPP change. Moreover, a ridge regression model was built by selecting the vegetation indicators of the leaf area index (LAI) and fraction vegetation coverage (FVC) and the climate factors of CO<sub>2</sub>, shortwave downward solar radiation (R<sub>sd</sub>), precipitation (P), and temperature (T). Then, the relative contributions of each factor were evaluated. The results showed that, over the previous two decades, the global mean NPP reached 503.43 g C m<sup>−2</sup> yr<sup>−1</sup>, with a fluctuating upward trend of 1.52 g C m<sup>−2</sup> yr<sup>−1</sup>. The regions with a significant increase in NPP (9.22 g C m<sup>−2</sup> yr<sup>−1</sup>) were mainly located in Central Africa, while the regions with decreasing NPP (−3.21 g C m<sup>−2</sup> yr<sup>−1</sup>) were primarily in the Amazon Rainforest in northern South America. Additionally, CO<sub>2</sub>, the LAI, and the FVC exhibited positive contributions to the NPP trend, with the predominant factors being CO<sub>2</sub> (relative contribution of 32.22%) and the LAI (relative contribution of 21.96%). In contrast, the contributions of R<sub>sd</sub> and precipitation were relatively low (<10%). In addition, the contributions varied at different land cover and climate zone scales. The CO<sub>2</sub>, LAI, FVC, and temperature were the predominant factors affecting NPP across the vegetation types. At the scale of climate zones, CO<sub>2</sub> was the predominant factor influencing changes in vegetation NPP. As the climate gradually transitioned towards temperate and cold regions, the contribution of the LAI to NPP increased. The findings of this study help to clarify the effects of vegetation and climate change on the ecosystem, providing theoretical support for ecological environmental protection and other related initiatives. | 
| format | Article | 
| id | doaj-art-1a4b97655f97423f9e9014a30bfcccc6 | 
| institution | Kabale University | 
| issn | 2072-4292 | 
| language | English | 
| publishDate | 2024-12-01 | 
| publisher | MDPI AG | 
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| series | Remote Sensing | 
| spelling | doaj-art-1a4b97655f97423f9e9014a30bfcccc62024-12-27T14:50:54ZengMDPI AGRemote Sensing2072-42922024-12-011624469210.3390/rs16244692Detection of the Contribution of Vegetation Change to Global Net Primary Productivity: A Satellite PerspectiveXiaoqing Hu0Huihui Feng1Yingying Tang2Shu Wang3Shihan Wang4Wei Wang5Jixian Huang6Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518000, ChinaKey Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518000, ChinaSchool of Geosciences and Info-Physics, Central South University, Changsha 410083, ChinaSchool of Geosciences and Info-Physics, Central South University, Changsha 410083, ChinaSchool of Geosciences and Info-Physics, Central South University, Changsha 410083, ChinaSchool of Geosciences and Info-Physics, Central South University, Changsha 410083, ChinaSchool of Geosciences and Info-Physics, Central South University, Changsha 410083, ChinaExploring NPP changes and their corresponding drivers is significant for the achievement of sustainable ecosystem management and in addressing climate change. This study aimed to explore the spatiotemporal variation in NPP and analyze the effects of vegetation and climate change on the global NPP from 2003 to 2020. Methodologically, the Theil–Sen and Mann–Kendall methods were used to study the spatiotemporal characteristics of global NPP change. Moreover, a ridge regression model was built by selecting the vegetation indicators of the leaf area index (LAI) and fraction vegetation coverage (FVC) and the climate factors of CO<sub>2</sub>, shortwave downward solar radiation (R<sub>sd</sub>), precipitation (P), and temperature (T). Then, the relative contributions of each factor were evaluated. The results showed that, over the previous two decades, the global mean NPP reached 503.43 g C m<sup>−2</sup> yr<sup>−1</sup>, with a fluctuating upward trend of 1.52 g C m<sup>−2</sup> yr<sup>−1</sup>. The regions with a significant increase in NPP (9.22 g C m<sup>−2</sup> yr<sup>−1</sup>) were mainly located in Central Africa, while the regions with decreasing NPP (−3.21 g C m<sup>−2</sup> yr<sup>−1</sup>) were primarily in the Amazon Rainforest in northern South America. Additionally, CO<sub>2</sub>, the LAI, and the FVC exhibited positive contributions to the NPP trend, with the predominant factors being CO<sub>2</sub> (relative contribution of 32.22%) and the LAI (relative contribution of 21.96%). In contrast, the contributions of R<sub>sd</sub> and precipitation were relatively low (<10%). In addition, the contributions varied at different land cover and climate zone scales. The CO<sub>2</sub>, LAI, FVC, and temperature were the predominant factors affecting NPP across the vegetation types. At the scale of climate zones, CO<sub>2</sub> was the predominant factor influencing changes in vegetation NPP. As the climate gradually transitioned towards temperate and cold regions, the contribution of the LAI to NPP increased. The findings of this study help to clarify the effects of vegetation and climate change on the ecosystem, providing theoretical support for ecological environmental protection and other related initiatives.https://www.mdpi.com/2072-4292/16/24/4692net primary productivity (NPP)vegetation changeclimate changesatelliteglobal | 
| spellingShingle | Xiaoqing Hu Huihui Feng Yingying Tang Shu Wang Shihan Wang Wei Wang Jixian Huang Detection of the Contribution of Vegetation Change to Global Net Primary Productivity: A Satellite Perspective Remote Sensing net primary productivity (NPP) vegetation change climate change satellite global | 
| title | Detection of the Contribution of Vegetation Change to Global Net Primary Productivity: A Satellite Perspective | 
| title_full | Detection of the Contribution of Vegetation Change to Global Net Primary Productivity: A Satellite Perspective | 
| title_fullStr | Detection of the Contribution of Vegetation Change to Global Net Primary Productivity: A Satellite Perspective | 
| title_full_unstemmed | Detection of the Contribution of Vegetation Change to Global Net Primary Productivity: A Satellite Perspective | 
| title_short | Detection of the Contribution of Vegetation Change to Global Net Primary Productivity: A Satellite Perspective | 
| title_sort | detection of the contribution of vegetation change to global net primary productivity a satellite perspective | 
| topic | net primary productivity (NPP) vegetation change climate change satellite global | 
| url | https://www.mdpi.com/2072-4292/16/24/4692 | 
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