Diverse Responses of Vegetation Greenness and Productivity to Land Use and Climate Change: A Comparison of Three Urban Agglomerations in China
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Data Sources and Processing
2.3. Mann–Kendall Test
2.4. Impact of Climate and Land Use Change on Vegetation
3. Results
3.1. Dynamics of Vegetation Greenness and Productivity
3.2. Inconsistency between Vegetation Greenness and Productivity
3.3. Impact of Land Use Change on Vegetation Greenness and Productivity
3.4. Impact of Climate Change on Vegetation Greenness and Productivity
4. Discussion
4.1. Inconsistency between Greenness and Productivity and Its Potential Reasons
4.2. Divergent Responses of Vegetation Change in the Three Agglomerations
4.3. Limitations and Prospect
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Caparros-Santiago, J.A.; Rodriguez-Galiano, V.; Dash, J. Land surface phenology as indicator of global terrestrial ecosystem dynamics: A systematic review. ISPRS J. Photogramm. Remote Sens. 2021, 171, 330–347. [Google Scholar] [CrossRef]
- Huang, K.; Xia, J.; Wang, Y.; Ahlström, A.; Chen, J.; Cook, R.B.; Cui, E.; Fang, Y.; Fisher, J.B.; Huntzinger, D.N.; et al. Enhanced peak growth of global vegetation and its key mechanisms. Nat. Ecol. Evol. 2018, 2, 1897–1905. [Google Scholar] [CrossRef]
- Piao, S.; Wang, X.; Park, T.; Chen, C.; Lian, X.; He, Y.; Bjerke, J.W.; Chen, A.; Ciais, P.; Tømmervik, H.; et al. Characteristics, drivers and feedbacks of global greening. Nat. Rev. Earth Environ. 2019, 1, 14–27. [Google Scholar] [CrossRef]
- Selmi, W.; Weber, C.; Riviere, E.; Blond, N.; Mehdi, L.; Nowak, D. Air pollution removal by trees in public green spaces in Strasbourg city, France. Urban For. Urban Green. 2016, 17, 192–201. [Google Scholar] [CrossRef]
- Santiago, J.L.; Rivas, E. Advances on the influence of vegetation and forest on urban air quality and thermal comfort. Forests 2021, 12, 1133. [Google Scholar] [CrossRef]
- Li, Y.; Piao, S.; Li, L.; Chen, A.; Wang, X.; Ciais, P.; Huang, L.; Lian, X.; Peng, S.; Zeng, Z.; et al. Divergent hydrological response to large-scale afforestation and vegetation greening in China. Sci. Adv. 2018, 5, 4182. [Google Scholar] [CrossRef] [PubMed]
- Renterghem, V.T. Towards explaining the positive effect of vegetation on the perception of environmental noise. Urban For. Urban Green. 2018, 40, 133–144. [Google Scholar] [CrossRef]
- Forzieri, G.; Alkama, R.; Miralles, D.G.; Cescatti, A. Satellites reveal contrasting responses of regional climate to the widespread greening of Earth. Science 2017, 356, 1180–1184. [Google Scholar] [CrossRef]
- Poulter, B.; Frank, D.; Ciais, P.; Myneni, R.B.; Andela, N.; Bi, J.; Broquet, G.; Canadell, J.G.; Chevallier, F.; Liu, Y.; et al. Contribution of semi-arid ecosystems to interannual variability of the global carbon cycle. Nature 2014, 509, 600–603. [Google Scholar] [CrossRef]
- Hidalgo, A.K. Mental health in winter cities: The effect of vegetation on streets. Urban For. Urban Green. 2021, 63, 127226. [Google Scholar] [CrossRef]
- Yang, J.; Huang, C.; Zhang, Z.; Wang, L. The temporal trend of urban green coverage in major chinese cities between 1990 and 2010. Urban For. Urban Green. 2014, 13, 19–27. [Google Scholar] [CrossRef]
- Yang, K.; Sun, W.; Luo, Y.; Zhao, L. Impact of urban expansion on vegetation: The case of China (2000–2018). J. Environ. Manag. 2021, 291, 112598. [Google Scholar] [CrossRef] [PubMed]
- Huang, J.; Yu, H.; Guan, X.; Wang, G.; Guo, R. Accelerated dryland expansion under climate change. Nat. Clim. Chang. 2016, 6, 166–171. [Google Scholar] [CrossRef]
- United Nations. World Urbanization Prospects: The 2019 Revision; United Nations: New York, NY, USA, 2019. [Google Scholar]
- Mu, W.; Zhu, X.; Ma, W.; Han, Y.; Huang, H.; Huang, X. Impact assessment of urbanization on vegetation net primary productivity: A case study of the core development area in central plains urban agglomeration, China. Environ. Res. 2023, 229, 115995. [Google Scholar] [CrossRef] [PubMed]
- Zhang, Y.; Ye, A. Quantitatively distinguishing the impact of climate change and human activities on vegetation in mainland China with the improved residual method. Giscience Remote Sens. 2021, 58, 235–260. [Google Scholar] [CrossRef]
- Xu, Q.; Dong, Y.; Yang, R. Influence of land urbanization on carbon sequestration of urban vegetation: A temporal cooperativity analysis in Guangzhou as an example. Sci. Total Environ. 2018, 635, 26–34. [Google Scholar] [CrossRef] [PubMed]
- Malone, S.L.; Tulbure, M.G.; Pérez-Luque, A.J.; Assal, T.J.; Bremer, L.L.; Drucker, D.P.; Hillis, V.; Varela, S.; Goulden, M.L. Drought resistance across California ecosystems: Evaluating changes in carbon dynamics using satellite imagery. Ecosphere 2016, 7, e01561. [Google Scholar] [CrossRef]
- Wang, J.; Pauleit, S.; Banzhaf, E. An integrated indicator framework for the assessment of multifunctional green infrastructure-exemplified in a European city. Remote Sens. 2019, 11, 1869. [Google Scholar] [CrossRef]
- Pan, N.; Feng, X.; Fu, B.; Wang, S.; Ji, F.; Pan, S. Increasing global vegetation browning hidden in overall vegetation greening: Insights from time-varying trends. Remote Sens. Environ. 2018, 214, 59–72. [Google Scholar] [CrossRef]
- Qiu, S.; Hu, T.; Hu, Y.; Ding, Z.; Liu, Y.; Peng, J. Remote sensing based global vegetation products: From vegetation spectral index to fusion datasets. Acta Geogr. Sin. 2022, 77, 1102–1119. (In Chinese) [Google Scholar]
- Chen, C.; Park, T.; Wang, X.; Piao, S.; Xu, B.; Chaturvedi, R.K.; Fuchs, R.; Brovkin, V.; Ciais, P.; Fensholt, R.; et al. China and India lead in greening of the world through land-use management. Nat. Sustain. 2019, 2, 122–129. [Google Scholar] [CrossRef] [PubMed]
- Li, C.; Li, L.; Wu, X.; Tsunekawa, A.; Wei, Y.; Liu, Y.; Peng, L.; Chen, J.; Bai, K. Increasing precipitation promoted vegetation growth in the Mongolian Plateau during 2001–2018. Front. Environ. Sci. 2023, 11, 1153601. [Google Scholar] [CrossRef]
- Peng, C.; Du, L.; Ren, H.; Li, X.; Li, X. Spatial heterogeneity of combined factors affecting vegetation greenness change in the Yangtze River Economic Belt from 2000 to 2020. Remote Sens. 2023, 15, 5693. [Google Scholar] [CrossRef]
- Ding, Z.; Peng, J.; Qiu, S.; Zhao, Y. Nearly half of global vegetated area experienced inconsistent vegetation growth in terms of greenness, cover, and productivity. Earth’s Future 2020, 8, e2020EF001618. [Google Scholar] [CrossRef]
- Zhao, Y.; Peng, J.; Ding, Z.; Qiu, S.; Liu, X.; Wu, J.; Meersmans, J. Divergent dynamics between grassland greenness and gross primary productivity across China. Ecol. Indic. 2022, 142, 109100. [Google Scholar] [CrossRef]
- Yan, D.; Scott, R.L.; Moore, D.J.P.; Biederman, J.A.; Smith, W.K. Understanding the relationship between vegetation greenness and productivity across dryland ecosystems through the integration of PhenoCam, satellite, and eddy covariance data. Remote Sens. Environ. 2019, 223, 50–62. [Google Scholar] [CrossRef]
- Bai, Y.; Li, S.; Liu, M.; Guo, Q. Assessment of vegetation change on the Mongolian Plateau over three decades using different remote sensing products. J. Environ. Manag. 2022, 317, 115509. [Google Scholar] [CrossRef] [PubMed]
- Hinojo-Hinojo, C.; Goulden, M.L. Plant traits help explain the tight relationship between vegetation indices and Gross Primary Production. Remote Sens. 2020, 12, 1405. [Google Scholar] [CrossRef]
- Zhang, Y.; Song, C.; Band, L.E.; Sun, G. No proportional increase of terrestrial gross carbon sequestration from the greening Earth. J. Geophys. Res. Biogeosci. 2019, 124, 2540–2553. [Google Scholar] [CrossRef]
- Xu, L.; Samanta, A.; Costa, M.H.; Ganguly, S.; Nemani, R.R.; Myneni, R.B. Widespread decline in greenness of Amazonian vegetation due to the 2010 drought. Geophys. Res. Lett. 2011, 38, L07402. [Google Scholar] [CrossRef]
- Ge, W.; Deng, L.; Wang, F.; Han, J. Quantifying the contributions of human activities and climate change to vegetation net primary productivity dynamics in China from 2001 to 2016. Sci. Total Environ. 2021, 773, 145648. [Google Scholar] [CrossRef]
- Li, X.; Luo, Y.; Wu, J. Decoupling relationship between urbanization and carbon sequestration in the Pearl River Delta from 2000 to 2020. Remote Sens. 2023, 14, 526. [Google Scholar] [CrossRef]
- Zhang, D.; Geng, X.; Chen, W.; Fang, L.; Yao, R.; Wang, X.; Zhou, X. Inconsistency of global vegetation dynamics driven by climate change: Evidences from spatial regression. Remote Sens. 2021, 13, 3442. [Google Scholar] [CrossRef]
- Cox, P.M.; Pearson, D.; Booth, B.B.; Friedlingstein, P.; Huntingford, C.; Jones, C.D.; Luke, C.M. Sensitivity of tropical carbon to climate change constrained by carbon dioxide variability. Nature 2013, 494, 341–344. [Google Scholar] [CrossRef] [PubMed]
- Erb, K.; Kastner, T.; Plutzar, C.; Bais, A.L.S.; Carvalhais, N.; Fetzel, T.; Gingrich, S.; Haberl, H.; Lauk, C.; Niedertscheider, M.; et al. Unexpectedly large impact of forest management and grazing on global vegetation biomass. Nature 2018, 553, 73–76. [Google Scholar] [CrossRef] [PubMed]
- Gao, W.; Zheng, C.; Liu, X.; Lu, Y.; Chen, Y.; Wei, Y.; Ma, Y. NDVI-based vegetation dynamics and their responses to climate change and human activities from 1982 to 2020: A case study in the Mu Us Sandy Land, China. Ecol. Indic. 2022, 137, 108745. [Google Scholar] [CrossRef]
- Chen, Y.; Wang, J.; Xiong, N.; Sun, L.; Xu, J. Impacts of land use changes on Net Primary Productivity in urban agglomerations under multi-scenarios simulation. Remote Sens. 2022, 14, 1755. [Google Scholar] [CrossRef]
- Mann, H.B. Nonparametric tests against trend. Econometrica 1945, 13, 245–259. [Google Scholar] [CrossRef]
- Fang, H.; Liang, S. A hybrid inversion method for mapping leaf area index from MODIS data: Experiments and application to broadleaf and needleleaf canopies. Remote Sens. Environ. 2005, 94, 405–424. [Google Scholar] [CrossRef]
- Pan, N.; Wang, S.; Wei, F.; Shen, M.; Fu, B. Inconsistent changes in NPP and LAI determined from the parabolic LAI versus NPP relationship. Ecol. Indic. 2021, 131, 108134. [Google Scholar] [CrossRef]
- Wang, S.; Fu, B.; Wei, F.; Piao, S.; Maestre, F.T.; Wang, L.; Jiao, W.; Liu, Y.; Li, Y.; Li, C.; et al. Drylands contribute disproportionately to observed global productivity increases. Sci. Bull. 2023, 68, 224–232. [Google Scholar] [CrossRef] [PubMed]
- Yu, Y.; Hua, T.; Chen, L.; Zhang, Z.; Pereira, P. Divergent changes in vegetation greenness, productivity, and rainfall use efficiency are characteristic of ecological restoration towards high-quality development in the Yellow River Basin, China. Engineering 2024, 34, 111–121. [Google Scholar] [CrossRef]
- Paolini, L.; Araoz, E.; Gioia, A.; Powell, P.A. Vegetation productivity trends in response to urban dynamics. Urban For. Urban Green. 2016, 17, 211–216. [Google Scholar] [CrossRef]
- Diao, C.; Liu, Y.; Zhao, L.; Zhuo, G.; Zhang, Y. Regional-scale vegetation-climate interactions on the qinghai-tibet plateau. Ecol. Inform. 2021, 65, 101413. [Google Scholar] [CrossRef]
- Beigait, R.; Tang, H.; Bryn, A.; Skarpaas, O.; Stordal, F.; Bjerke, J.W.; Zliobaite, I. Identifying climate thresholds for dominant natural vegetation types at the global scale using machine learning: Average climate versus extremes. Glob. Chang. Biol. 2022, 28, 3557–3579. [Google Scholar] [CrossRef]
- Hu, Z.; Piao, S.; Knapp, A.K.; Wang, X.; Peng, S.; Yuan, W.; Running, S.; Mao, J.; Shi, X.; Ciais, P.; et al. Decoupling of greenness and gross primary productivity as aridity decreases. Remote Sens. Environ. 2022, 279, 113120. [Google Scholar] [CrossRef]
- Lindroth, A.; Lagergren, F.; Aurela, M.; Bjarnadottir, B.; Christensen, T.; Dellwik, E.; Grelle, A.; Ibrom, A.; Johansson, T.; Lankreijer, H.; et al. Leaf area index is the principal scaling parameter for both gross photosynthesis and ecosystem respiration of northern deciduous and coniferous forests. Tellus B Chem. Phys. Meteorol. 2008, 60, 129–142. [Google Scholar] [CrossRef]
- Forkel, M.; Carvalhais, N.; Rodenbeck, C.; Keeling, R.; Heimann, M.; Thonicke, K.; Zaehle, S.; Reichstein, M. Enhanced seasonal CO2 exchange caused by amplified plant productivity in northern ecosystems. Science 2016, 351, 696–699. [Google Scholar] [CrossRef] [PubMed]
- Konings, A.G.; Williams, A.P.; Gentine, P. Sensitivity of grassland productivity to aridity controlled by stomatal and xylem regulation. Nat. Geosci. 2017, 10, 284–288. [Google Scholar] [CrossRef]
- Shi, H.; Li, L.; Eamus, D.; Huete, A.; Cleverly, J.; Tian, X.; Yu, Q.; Wang, S.; Montagnani, L.; Magliulo, V.; et al. Assessing the ability of MODIS EVI to estimate terrestrial ecosystem gross primary production of multiple land cover types. Ecol. Indic. 2017, 72, 153–164. [Google Scholar] [CrossRef]
- Zhou, D.; Zhang, L.; Hao, L.; Sun, G.; Xiao, J.; Li, X. Large discrepancies among remote sensing indices for characterizing vegetation growth dynamics in nepal. Agric. For. Meteorol. 2023, 339, 109546. [Google Scholar] [CrossRef]
- Li, F.; Peng, Y.; Zhang, D.; Yang, G.; Fang, K.; Wang, G.; Wang, J.; Yu, J.; Zhou, G.; Yang, Y. Leaf area rather than photosynthetic rate determines the response of ecosystem productivity to experimental warming in an alpine steppe. J. Geophys. Res. Biogeosci. 2019, 124, 2277–2287. [Google Scholar] [CrossRef]
- Huang, B.; Li, Z.; Dong, C.; Zhu, Z.; Zeng, H. Effects of urbanization on vegetation conditions in coastal zone of china. Prog. Phys. Geogr. Earth Environ. 2021, 45, 564–579. [Google Scholar] [CrossRef]
- Hu, T.; Dong, J.; Hu, Y.; Qiu, S.; Yang, Z.; Zhao, Y.; Cheng, X.; Peng, J. Stage response of vegetation dynamics to urbanization in megacities: A case study of Changsha City, China. Sci. Total Environ. 2023, 858, 159659. [Google Scholar] [CrossRef] [PubMed]
- Li, L.; Wang, Y.P.; Beringer, J.; Shi, H.; Cleverly, J.; Cheng, L.; Eamus, D.; Huete, A.; Hutley, L.; Lu, X.; et al. Responses of LAI to rainfall explain contrasting sensitivities to carbon uptake between forest and non-forest ecosystems in Australia. Sci. Rep. 2017, 7, 11720. [Google Scholar] [CrossRef] [PubMed]
- Knapp, A.K.; Ciais, P.; Smith, M.D. Reconciling inconsistencies in precipitation-productivity relationships: Implications for climate change. New Phytol. 2016, 214, 41–47. [Google Scholar] [CrossRef]
- Sarmah, S.; Singha, M.; Wang, J.; Dong, J.; Burman, P.K.D.; Goswami, S.; Ge, Y.; Ilyas, S.; Niu, S. Mismatches between vegetation greening and primary productivity trends in South Asia—A satellite evidence. Int. J. Appl. Earth Obs. Geoinf. 2021, 104, 102561. [Google Scholar] [CrossRef]
Data | Spatial Resolution | Period | Sources | Collected Date |
---|---|---|---|---|
LAI | 500 m | 2001–2020 | https://lpdaac.usgs.gov/products/mod15a2hv006/ | 23 May 2023 |
GPP | 500 m | 2001–2020 | https://lpdaac.usgs.gov/products/mod17a2hv006/ | 23 May 2023 |
Land use/cover | 500 m | 2001–2020 | https://modis.gsfc.nasa.gov/data/dataprod/mod12.php | 23 May 2023 |
Climatic data | 1000 m | 2001–2020 | http://www.resdc.cn | 24 June 2023 |
Administrative boundary | - | 2020 | http://www.dsac.cn/ | 18 May 2023 |
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Xue, F.; Hu, Y. Diverse Responses of Vegetation Greenness and Productivity to Land Use and Climate Change: A Comparison of Three Urban Agglomerations in China. Sustainability 2024, 16, 5900. https://doi.org/10.3390/su16145900
Xue F, Hu Y. Diverse Responses of Vegetation Greenness and Productivity to Land Use and Climate Change: A Comparison of Three Urban Agglomerations in China. Sustainability. 2024; 16(14):5900. https://doi.org/10.3390/su16145900
Chicago/Turabian StyleXue, Fei, and Yi’na Hu. 2024. "Diverse Responses of Vegetation Greenness and Productivity to Land Use and Climate Change: A Comparison of Three Urban Agglomerations in China" Sustainability 16, no. 14: 5900. https://doi.org/10.3390/su16145900