Spatiotemporal dynamics of carbon sequestration capacity and its determinants in rubber plantation ecosystems of Hainan Island
Net Ecosystem Productivity (NEP) is a crucial indicator of the carbon sequestration capacity of terrestrial ecosystems. However, the mechanisms underlying the spatiotemporal variations in the carbon sequestration capacity of tropical artificial forest ecosystems remain unclear. In this study, we dev...
Saved in:
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-01-01
|
Series: | Global Ecology and Conservation |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2351989425000320 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832590992472014848 |
---|---|
author | Yinghe An Zhixiang Wu Runqing Zhang Xiang Zhang Zhenghong Tan Zhongyi Sun |
author_facet | Yinghe An Zhixiang Wu Runqing Zhang Xiang Zhang Zhenghong Tan Zhongyi Sun |
author_sort | Yinghe An |
collection | DOAJ |
description | Net Ecosystem Productivity (NEP) is a crucial indicator of the carbon sequestration capacity of terrestrial ecosystems. However, the mechanisms underlying the spatiotemporal variations in the carbon sequestration capacity of tropical artificial forest ecosystems remain unclear. In this study, we developed a data-driven semi-empirical model using machine learning to simulate NEP in rubber plantations, and extended its application to Hainan Island by leveraging remote sensing and reanalysis data. We analyzed the direct and indirect effects of climatic factors on the NEP using numerical simulations and a Structural Equation Model (SEM). Furthermore, we quantified the impact of rubber plantation area on NEP by calculating the contribution rate. The results reveal that the model accurately captures the trends and seasonality of Gross Primary Productivity (GPP) (R2=0.88, RMSE=1.19 g C m−2 d −1) and Ecosystem Respiration (RECO) (R2=0.87, MSE=0.94 g C m−2 d −1). Over the past 19 years, NEP shows a slight decreasing trend, with higher carbon sequestration during the rainy season than during the dry season. Rubber plantations in the central region primarily act as weak carbon sources, while those surrounding them predominantly function as carbon sinks (carbon sources/carbon sinks ≈ 6.74 %). Among the climatic factors, changes in water conditions exert a dominant influence on NEP variations (−66.03 %); however, different categories of water conditions (precipitation and relative humidity) have opposite effects (negative effects of precipitation and positive effects of atmospheric relative humidity). Additionally, the expansion of rubber plantation cover area contributed to 4.01 % of the changes in NEP. These findings provide a basis for managing and improving carbon sequestration in plantations. |
format | Article |
id | doaj-art-d64319283669420eab3211a36b0df4e5 |
institution | Kabale University |
issn | 2351-9894 |
language | English |
publishDate | 2025-01-01 |
publisher | Elsevier |
record_format | Article |
series | Global Ecology and Conservation |
spelling | doaj-art-d64319283669420eab3211a36b0df4e52025-01-23T05:27:07ZengElsevierGlobal Ecology and Conservation2351-98942025-01-0157e03431Spatiotemporal dynamics of carbon sequestration capacity and its determinants in rubber plantation ecosystems of Hainan IslandYinghe An0Zhixiang Wu1Runqing Zhang2Xiang Zhang3Zhenghong Tan4Zhongyi Sun5Ecology and Environment College, Hainan University, Haikou 570228, ChinaHainan Danzhou Tropical Agro-ecosystem National Observation and Research Station, Danzhou, Hainan Province, 571737, China; Danzhou Investigation & Experiment Station of Tropical Crops, Ministry of Agriculture, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Danzhou 571737, ChinaEcology and Environment College, Hainan University, Haikou 570228, ChinaEcology and Environment College, Hainan University, Haikou 570228, ChinaSchool of Ecology and Environmental Science, Yunnan University, Kunming 650091, ChinaEcology and Environment College, Hainan University, Haikou 570228, China; Danzhou Investigation & Experiment Station of Tropical Crops, Ministry of Agriculture, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Danzhou 571737, China; Corresponding author at: Ecology and Environment College, Hainan University, Haikou 570228, China.Net Ecosystem Productivity (NEP) is a crucial indicator of the carbon sequestration capacity of terrestrial ecosystems. However, the mechanisms underlying the spatiotemporal variations in the carbon sequestration capacity of tropical artificial forest ecosystems remain unclear. In this study, we developed a data-driven semi-empirical model using machine learning to simulate NEP in rubber plantations, and extended its application to Hainan Island by leveraging remote sensing and reanalysis data. We analyzed the direct and indirect effects of climatic factors on the NEP using numerical simulations and a Structural Equation Model (SEM). Furthermore, we quantified the impact of rubber plantation area on NEP by calculating the contribution rate. The results reveal that the model accurately captures the trends and seasonality of Gross Primary Productivity (GPP) (R2=0.88, RMSE=1.19 g C m−2 d −1) and Ecosystem Respiration (RECO) (R2=0.87, MSE=0.94 g C m−2 d −1). Over the past 19 years, NEP shows a slight decreasing trend, with higher carbon sequestration during the rainy season than during the dry season. Rubber plantations in the central region primarily act as weak carbon sources, while those surrounding them predominantly function as carbon sinks (carbon sources/carbon sinks ≈ 6.74 %). Among the climatic factors, changes in water conditions exert a dominant influence on NEP variations (−66.03 %); however, different categories of water conditions (precipitation and relative humidity) have opposite effects (negative effects of precipitation and positive effects of atmospheric relative humidity). Additionally, the expansion of rubber plantation cover area contributed to 4.01 % of the changes in NEP. These findings provide a basis for managing and improving carbon sequestration in plantations.http://www.sciencedirect.com/science/article/pii/S2351989425000320Machine learningNet ecosystem productivityRubber Forest ecosystemLand use and cover change |
spellingShingle | Yinghe An Zhixiang Wu Runqing Zhang Xiang Zhang Zhenghong Tan Zhongyi Sun Spatiotemporal dynamics of carbon sequestration capacity and its determinants in rubber plantation ecosystems of Hainan Island Global Ecology and Conservation Machine learning Net ecosystem productivity Rubber Forest ecosystem Land use and cover change |
title | Spatiotemporal dynamics of carbon sequestration capacity and its determinants in rubber plantation ecosystems of Hainan Island |
title_full | Spatiotemporal dynamics of carbon sequestration capacity and its determinants in rubber plantation ecosystems of Hainan Island |
title_fullStr | Spatiotemporal dynamics of carbon sequestration capacity and its determinants in rubber plantation ecosystems of Hainan Island |
title_full_unstemmed | Spatiotemporal dynamics of carbon sequestration capacity and its determinants in rubber plantation ecosystems of Hainan Island |
title_short | Spatiotemporal dynamics of carbon sequestration capacity and its determinants in rubber plantation ecosystems of Hainan Island |
title_sort | spatiotemporal dynamics of carbon sequestration capacity and its determinants in rubber plantation ecosystems of hainan island |
topic | Machine learning Net ecosystem productivity Rubber Forest ecosystem Land use and cover change |
url | http://www.sciencedirect.com/science/article/pii/S2351989425000320 |
work_keys_str_mv | AT yinghean spatiotemporaldynamicsofcarbonsequestrationcapacityanditsdeterminantsinrubberplantationecosystemsofhainanisland AT zhixiangwu spatiotemporaldynamicsofcarbonsequestrationcapacityanditsdeterminantsinrubberplantationecosystemsofhainanisland AT runqingzhang spatiotemporaldynamicsofcarbonsequestrationcapacityanditsdeterminantsinrubberplantationecosystemsofhainanisland AT xiangzhang spatiotemporaldynamicsofcarbonsequestrationcapacityanditsdeterminantsinrubberplantationecosystemsofhainanisland AT zhenghongtan spatiotemporaldynamicsofcarbonsequestrationcapacityanditsdeterminantsinrubberplantationecosystemsofhainanisland AT zhongyisun spatiotemporaldynamicsofcarbonsequestrationcapacityanditsdeterminantsinrubberplantationecosystemsofhainanisland |