Spatiotemporal Variation of Net Primary Productivity and Its Response to Climate Change and Human Activities in the Yangtze River Delta, China
Source abstract
Abstract
Exploring the temporal and spatial changes, as well as driving factors, of net primary productivity (NPP) of terrestrial ecosystems is essential for maintaining regional carbon balance. This work focuses on the spatiotemporal variation and future trends of NPP and the response mechanisms of NPP to various driving factors. The Theil–Sen estimator, as well as Mann–Kendall and Hurst exponent methods, were used to analyze the spatiotemporal dynamics and future trends of NPP, and geographical detectors and correlation analysis were used to reveal the response of NPP to various driver changes to environmental factors. The results showed that the NPP was generally on an increasing trend in the Yangtze River Delta region from 2000 to 2019, with the average NPP value of 550.17 g C m−2 a−1, of which 85.90% was the increasing regions and 14.10% was the decreasing regions, showing a significant spatiotemporal heterogeneity characteristic. The trend of future changes in NPP is dominated by an anti-persistence trend in the study area, i.e., the opposite of the past trend. Notably, annual precipitation is the most significant positive driver of NPP; while NPP was negatively correlated with population, meanwhile, different land use/land cover (LULC) also significantly affected the spatial distribution of NPP. Besides, there was a two-factor enhanced interaction between the various drivers on NPP, with the highest interaction occurring between temperature and elevation. Overall, this study provides data support for future regional NPP predictions and ecosystem evaluations.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Land Use and Ecosystem Services · Atmospheric and Environmental Gas Dynamics · Remote Sensing in Agriculture
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Forestry, Nanjing Forestry University, Nanjing 210037, China
Funding
National Natural Science Foundation of China
References (82)
Show source-provided references
1. Grassland Coverage Changes and Analysis of the Driving Forces in Maqu County10.1016/j.phpro.2012.05.213 ↗
2. Tian, L., Tao, Y., Fu, W., Li, T., Ren, F., and Li, M. (2022). Dynamic Simulation of Land Use/Cover Change and Assessment of Forest Ecosystem Carbon Storage under Climate Change Scenarios in Guangdong Province, China. Remote Sens., 14.10.3390/rs14102330 ↗
3. Spatiotemporal variation in vegetation coverage and its response to climatic factors in the Red River Basin, China10.1016/j.ecolind.2018.04.033 ↗
4. Variations in Vegetation Net Primary Production in the Qinghai-Xizang Plateau, China, from 1982 to 199910.1007/s10584-005-6339-8 ↗
5. Grassland dynamics in responses to climate variation and human activities in China from 2000 to 201310.1016/j.scitotenv.2019.06.503 ↗
6. Zhang, H., Sun, R., Peng, D., Yang, X., Wang, Y., Hu, Y., Zheng, S., Zhang, J., Bai, J., and Li, Q. (2021). Spatiotemporal Dynamics of Net Primary Productivity in China’s Urban Lands during 1982-2015. Remote Sens., 13.10.3390/rs13030400 ↗
7. Assessment Impacts of Weather and Land Use/Land Cover (LULC) Change on Urban Vegetation Net Primary Productivity (NPP): A Case Study in Guangzhou, China10.3390/rs5084125 ↗
8. Dynamics of alpine grassland NPP and its response to climate change in Northern Tibet10.1007/s10584-009-9617-z ↗
9. Global projections of future cropland expansion to 2050 and direct impacts on biodiversity and carbon storage10.1111/gcb.14459 ↗
10. Optimizing carbon storage and biodiversity co-benefits in reforested riparian zones10.1111/1365-2664.13272 ↗
11. Terrestrial carbon sinks in China and around the world and their contribution to carbon neutrality10.1007/s11427-021-2045-5 ↗
12. Determining the contributions of urbanisation and climate change to NPP variations over the last decade in the Yangtze River Delta, China10.1016/j.scitotenv.2013.10.128 ↗
13. What drives the vegetation dynamics in the Hengduan Mountain region, southwest China: Climate change or human activity?10.1016/j.ecolind.2019.106013 ↗
14. Spatiotemporal heterogeneity of net primary productivity and response to climate change in the mountain regions of southwest China10.1016/j.ecolind.2021.108273 ↗
15. Quantitative assessment of the relative roles of climate change and human activities in desertification processes on the Qinghai-Tibet Plateau based on net primary productivity10.1016/j.catena.2016.09.005 ↗
16. Global climate change and terrestrial net primary production10.1038/363234a0 ↗
17. Revisiting the cumulative effects of drought on global gross primary productivity based on new long-term series data (1982–2018)10.1111/gcb.16178 ↗
18. Drought-Induced Reduction in Global Terrestrial Net Primary Production from 2000 Through 200910.1126/science.1192666 ↗
19. Assessing the differences in net primary productivity between pre- and post-urban land development in China10.1016/j.agrformet.2012.12.003 ↗
20. Terrestrial carbon stocks across a gradient of urbanization: A study of the Seattle, WA region10.1111/j.1365-2486.2010.02238.x ↗
21. Piao, S., Ciais, P., Friedlingstein, P., de Noblet-Ducoudré, N., Cadule, P., Viovy, N., and Wang, T. (2009). Spatiotemporal patterns of terrestrial carbon cycle during the 20th century. Glob. Biogeochem. Cycles, 23.10.1029/2008GB003339 ↗
22. Impacts of China’s Three Gorges Dam Project on net primary productivity in the reservoir area10.1016/j.scitotenv.2011.08.004 ↗
23. Combining satellite data and biogeochemical models to estimate global effects of human-induced land cover change on carbon emissions and primary productivity10.1029/1999GB900037 ↗
24. Prediction of the Export and Fate of Global Ocean Net Primary Production: The EXPORTS Science Plan10.3389/fmars.2016.00022 ↗
25. Vegetation dynamics and its driving forces from climate change and human activities in the Three-River Source Region, China from 1982 to 201210.1016/j.scitotenv.2016.03.223 ↗
26. Discussion on links among landscape pattern, ecological process, and ecosystem services
27. Global potential net primary production predicted from vegetation class, precipitation, and temperature10.1890/07-0850.1 ↗
28. Effects of Harvesting Forest Biomass on Water and Climate Regulation Services: A Synthesis of Long-Term Ecosystem Experiments in Eastern North America10.1007/s10021-015-9928-z ↗
29. Sensitivity analysis of a sediment dynamics model applied in a Mediterranean river basin: Global change and management implications10.1016/j.scitotenv.2014.09.074 ↗
30. Mixed-effects modelling of time series NDVI-rainfall relationship for detecting human-induced loss of vegetation cover in drylands10.1016/j.jaridenv.2010.04.001 ↗
31. Assessment of the relative role of climate change and human activities in desertification: A review10.1007/s11442-011-0890-1 ↗
32. Can human-induced land degradation be distinguished from the effects of rainfall variability? A case study in South Africa10.1016/j.jaridenv.2006.05.015 ↗
33. The Topographic Signature of Ecosystem Climate Sensitivity in the Western United States10.1029/2019GL085546 ↗
34. Relative importance of climate changes at different time scales on net primary productivity-A case study of the Karst area of northwest Guangxi, China10.1007/s10661-017-6251-5 ↗
35. Spatial correlations between landscape patterns and net primary productivity: A case study of the Shule River Basin, China10.1016/j.ecolind.2021.108067 ↗
36. Spatiotemporal variations of vegetation cover on the Chinese Loess Plateau (1981-2006): Impacts of climate changes and human activities10.1007/s11430-007-0137-2 ↗
37. Discrimination between climate and human-induced dryland degradation10.1016/S0140-1963(03)00121-6 ↗
38. Evaluating the responses of net primary productivity and carbon use efficiency of global grassland to climate variability along an aridity gradient10.1016/j.scitotenv.2018.10.295 ↗
39. Run to the hills: Forest growth responsiveness to drought increased at higher elevation during the late 20th century10.1016/j.scitotenv.2021.145286 ↗
40. Global climate change increases risk of crop yield losses and food insecurity in the tropical Andes10.1111/gcb.13959 ↗
41. Economic transition, spatial development and urban land use efficiency in the Yangtze River Delta, China10.1016/j.habitatint.2017.03.012 ↗
42. Assessing the impacts of urban sprawl on net primary productivity using fusion of Landsat and MODIS data10.1016/j.scitotenv.2017.09.139 ↗
43. Innovative trend analysis of annual and seasonal rainfall in the Yangtze River Delta, eastern China10.1016/j.atmosres.2019.104673 ↗
44. Spatial and temporal differentiation and influencing factors of environmental governance performance in the Yangtze River Delta, China10.1016/j.scitotenv.2021.149699 ↗
45. National Bureau of Statics of China (2021). China Statistical Yearbook 2020, China Statistics Press.
46. (2021, December 20). Land Processes Distributed Active Archive Center, Available online: https://lpdaac.usgs.gov.
47. (2020, March 02). Level-1 and Atmosphere Archive & Distribution System Distributed Active Archive Center, Available online: https://ladsweb.modaps.eosdis.nasa.gov/.
48. (2022, March 05). Data Center for Resources and Environmental Sciences of the Chinese Academy of Sciences. Available online: https://www.resdc.cn.
49. (2022, March 05). Geospatial Data Cloud. Available online: http://www.gscloud.cn.
50. The Data Model Concept in Statistical Mapping
51. Estimates of the Regression Coefficient Based on Kendall’s Tau10.1080/01621459.1968.10480934 ↗
52. Li, T., Li, M., Ren, F., and Tian, L. (2022). Estimation and Spatio-Temporal Change Analysis of NPP in Subtropical Forests: A Case Study of Shaoguan, Guangdong, China. Remote Sens., 14.10.3390/rs14112541 ↗
53. Long term storage capacity of reservoirs
54. Spatiotemporal drought variability on the Mongolian Plateau from 1980-2014 based on the SPEI-PM, intensity analysis and Hurst exponent10.1016/j.scitotenv.2017.09.121 ↗
55. Drought monitoring in arid and semi-arid region based on multi-satellite datasets in northwest, China10.1007/s11356-021-14122-y ↗
56. Predicting plant diversity based on remote sensing products in the semi-arid region of Inner Mongolia10.1016/j.rse.2007.09.013 ↗
57. Geographical DetectorsBased Health Risk Assessment and its Application in the Neural Tube Defects Study of the Heshun Region, China10.1080/13658810802443457 ↗
58. Geodetector: Principle and Prospective
59. Why are East Asian ecosystems important for carbon cycle research?10.1007/s11427-010-4032-2 ↗
60. Spatial-temporal variability of terrestrial vegetation productivity in the Yangtze River Basin during 2000–200910.1093/jpe/rtt025 ↗
61. Increasingly Important Role of Atmospheric Aridity on Tibetan Alpine Grasslands10.1002/2017GL076803 ↗
62. Exposures to temperature beyond threshold disproportionately reduce vegetation growth in the northern hemisphere10.1093/nsr/nwy158 ↗
63. Dynamics of the alpine timberline and its response to climate change in the Hengduan mountains over the period 1985-201510.1016/j.ecolind.2022.108589 ↗
64. Reanalysis of global terrestrial vegetation trends from MODIS products: Browning or greening?10.1016/j.rse.2016.12.018 ↗
65. NDVI-based vegetation dynamics and its response to climate changes at Amur-Heilongjiang River Basin from 1982 to 201510.1016/j.scitotenv.2018.09.115 ↗
66. Effects of the partitioning of diffuse and direct solar radiation on satellite-based modeling of crop gross primary production
67. Satellite evidence for significant biophysical consequences of the “Grain for Green” Program on the Loess Plateau in China10.1002/2014JG002820 ↗
68. Identification of the human-land relationship involved in the urbanization of rural settlements in Wuhan city circle, China10.1016/j.jrurstud.2020.05.004 ↗
69. Assessing spatial-temporal dynamics of urban expansion, vegetation greenness and photosynthesis in megacity Shanghai, China during 2000-201610.1016/j.rse.2019.111374 ↗
70. Impacts of urbanization on net primary productivity in the Pearl River Delta, China
71. Net primary productivity (NPP) dynamics and associated urbanization driving forces in metropolitan areas: A case study in Beijing City, China10.1007/s10980-015-0319-9 ↗
72. Long-Term Spatiotemporal Variation of Net Primary Productivity and Its Correlation with the Urbanization: A Case Study in Hubei Province, China10.3389/fenvs.2021.808401 ↗
73. A long-term analysis of urbanization process, landscape change, and carbon sources and sinks: A case study in China’s Yangtze River Delta region10.1016/j.jclepro.2016.09.177 ↗
74. Estimating and analyzing the optimum temperature for vegetation growth in China
75. Assessing the impact of urbanization on regional net primary productivity in Jiangyin County, China10.1016/j.jenvman.2006.08.015 ↗
76. Urbanization alters spatiotemporal patterns of ecosystem primary production: A case study of the Phoenix metropolitan region, USA10.1016/j.jaridenv.2008.12.015 ↗
77. Time lag of vegetation growth on the Loess Plateau in response to climate factors: Estimation, distribution, and influence10.1016/j.scitotenv.2020.140726 ↗
78. NDVI indicated inter-seasonal non-uniform time-lag responses of terrestrial vegetation growth to daily maximum and minimum temperature10.1016/j.gloplacha.2019.03.010 ↗
79. The human ecosystem part I: The human ecosystem as an organizing concept in ecosystem management10.1080/08941929709381034 ↗
80. Assessing the effects of ecological engineering on carbon storage by linking the CA-Markov and InVEST models10.1016/j.ecolind.2018.10.052 ↗
81. Quantifying the contributions of human activities and climate change to vegetation net primary productivity dynamics in China from 2001 to 201610.1016/j.scitotenv.2021.145648 ↗
82. Large divergence of satellite and Earth system model estimates of global terrestrial CO2 fertilization10.1038/nclimate2879 ↗