Spatio-temporal distribution of vegetation index and its influencing factors—a case study of the Jiaozhou Bay, China

Yang Zheng; Ge Yu

doi:10.1007/s00343-017-6062-0

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Spatio-temporal distribution of vegetation index and its influencing factors—a case study of the Jiaozhou Bay, China

OriginalPaper | Updated：2023-05-16

- Spatio-temporal distribution of vegetation index and its influencing factors—a case study of the Jiaozhou Bay, China
- Spatio-temporal distribution of vegetation index and its influencing factors—a case study of the Jiaozhou Bay, China
- 海洋湖沼学报（英文） 2017年35卷第6期页码：1398-1408
- Affiliations：
  
  1. School of Environmental Science and Engineering Ocean University of China
  2. Key Laboratory of Marine Ecology and Environmental Sciences Ministry of Education
- Author bio：
- Funds：
  
  Supported by the National Natural Science Foundation of China (No. 41201569), the Natural Science Foundation of Shandong Province (No. ZR2011DQ003), and the Qingdao Municipal Science & Technology Program (No. 12-1-4-1-(15)-jch)
- DOI：10.1007/s00343-017-6062-0
  中图分类号：
- 网络首发：2016-10-25，
  
  纸质出版：2017
- Accepted：
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Spatio-temporal distribution of vegetation index and its influencing factors—a case study of the Jiaozhou Bay, China[J]. 海洋湖沼学报（英文）, 2017,35(6):1398-1408.

Zheng, Y., Yu, G. Spatio-temporal distribution of vegetation index and its influencing factors—a case study of the Jiaozhou Bay, China., Chin. J. Ocean. Limnol. 35, 1398–1408 (2017). https://doi.org/10.1007/s00343-017-6062-0
Spatio-temporal distribution of vegetation index and its influencing factors—a case study of the Jiaozhou Bay, China[J]. 海洋湖沼学报（英文）, 2017,35(6):1398-1408. DOI： 10.1007/s00343-017-6062-0.

Zheng, Y., Yu, G. Spatio-temporal distribution of vegetation index and its influencing factors—a case study of the Jiaozhou Bay, China., Chin. J. Ocean. Limnol. 35, 1398–1408 (2017). https://doi.org/10.1007/s00343-017-6062-0 DOI：

摘要

Abstract

The coastal zone is an area characterized by intense interaction between land and sea

high sensitivity to regional environmental changes

and concentrated human activities. Little research has investigated vegetation cover changes in coastal zones resulting from climate change and land-use change

with a lack of knowledge about the driving mechanism. Normalized difference vegetation index (NDVI) can be used as an indicator for change of the coastal environment. In this study

we analyzed the interannual changes and spatial distribution of NDVI in the coastal zone around Jiaozhou Bay in Qingdao

a coastal city undergoing rapid urbanization in northeast China. The underlying causes of NDVI variations were discussed in the context of climate change and land-use change. Results showed that the spatio-temporal distribution of NDVI displayed high spatial variability in the study area and showed a typical trend of gradually increasing from coastal to inland regions. The significant increase area of NDVI was mainly found in newly added construction land

extending along the coastline towards the inland. Land vegetation cover demonstrated a certain response relationship to sea-land climate change and land-based activities. The impact of land-based human activities was slightly greater than that of sea-land climate change for land vegetation cover. The results indicate that promoting ecological policies can build an ecological security framework of vegetation suitable for the resource characteristics of coastal cities. The framework will buffer the negative effects of sea-land climate change and land-based human activities on vegetation cover and thereby achieve the balance of regional development and ecological benefits in the coastal zone.

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references

Aich V, Liersch S, Vetter T, Fournet S, Andersson J C M, Calmanti S, van Weert F H A, Hattermann F F, Paton E N. 2016. Flood projections within the Niger River Basin under future land use and climate change. Science of The Total Environment, 562: 666–677, http://dx.doi.org/10.1016/j.scitotenv.2016.04.021.

Bateman I, Agarwala M, Binner A, Coombes E, Day B, Ferrini S, Fezzi C, Hutchins M, Lovett A, Posen P. 2016. Spatially explicit integrated modeling and economic valuation of climate driven land use change and its indirect effects. Journal of Environmental Management, 181: 172–184, http://dx.doi.org/10.1016/j.jenvman.2016.06.20.

Cochrane K, De Young C, Soto D, Bahri T. 2012. Climate change implications for fisheries and aquacultureoverview of current scientific knowledge.

Jia Y, Guo S, Zhu Y Q, Luo S T, Trans. China Agriculture Press, Beijing, China. 10p. (in Chinese)

Cui L L, Shi J. 2012. Urbanization and its environmental effects in Shanghai, China. Urban Climate, 2: 1–15, http://dx.doi.org/10.1016/j.uclim.2012.10.008.

Domingues C M, Church J A, White N J, Gleckler P J, Wijffels S E, Barker P M, Dunn J R. 2008. Improved estimates of upper-ocean warming and multi-decadal sea-level rise. Nature, 453(7198): 1090–1093, http://dx.doi.org/10.1038/nature07080.

Dudley P N, Bonazza R, Porter W P. 2016. Climate change impacts on nesting and internesting leatherback sea turtles using 3D animated computational fluid dynamics and finite volume heat transfer. Ecological Modelling, 320: 231–240, http://dx.doi.org/10.1016/j.ecolmodel.2015.10.012.

Eckert S, Hüsler F, Liniger H, Hodel E. 2015. Trend analysis of MODIS NDVI time series for detecting land degradation and regeneration in Mongolia. Journal of Arid Environments, 113: 16–28, http://dx.doi.org/10.1016/j.jaridenv.2014.09.001.

Gao Z H, Yang D F, Qin J, Xiang L H, Zhang K. 2008. The land-sourced pollution in the Jiaozhou Bay. Chinese Journal of Oceanology and Limnology, 26(2): 229–232, http://dx.doi.org/10.1007/s00343-008-0229-7.

Hou X Y, Zhang A D, Wang C Y, Wang Q X, Ying L L. 2010. Progress of studies on coastal land-based non-point source pollution. Progress in Geography, 29(1): 73–78. (in Chinese with English abstract)

Huang Y F, Li F Y, Bai X M, Cui S H. 2012. Comparing vulnerability of coastal communities to land use change: analytical framework and a case study in China. Environmental Science & Policy, 23: 133–143, http://dx.doi.org/10.1016/j.envsci.2012.06.017.

Kevern C, Cassandra D Y, Doris S, Tarub B. Overview of current scientific knowledge. In: Kevern C ed. Climate Change Implications for Fisheries and Aquaculture. China Agriculture. Press, China. p.10.

Kisi O, Ay M. 2014. Comparison of Mann-Kendall and innovative trend method for water quality parameters of the Kizilirmak River, Turkey. Journal of Hydrology, 513: 362–375, http//dx.doi.org/10.1016/j.jhydrol.2014.03.005.

Liu Q P, Yang Y C, Tian H Z, Gu L, Zhang B. 2014. Spatialtemporal difference of vegetation changes in built-up areas in China during the period of rapid urbanization. Journal of Natural Resources, 29(2): 223–236, http://dx. doi.org/10.11849/zrzyxb.2014.02.004. (in Chinese with English abstract)

Liu Y L, Wang Q, Bi J Z, Zhang M M, Xing Q G, Shi P. 2010. The analysis of NDVI trends in the coastal zone based on Mann-Kendall test: a case in the Jiaodong Peninsula. Acta Oceanologica Sinica, 32(3): 79–87. (in Chinese with English abstract)

Machwitz M, Gessner U, Conrad C, Falk U, Richters J, Dech S. 2015. Modelling the gross primary productivity of west Africa with the Regional Biomass Mod RBM+, using optimized 250 m MODIS FPAR and fractional vegetation cover information. International Journal of Applied Earth Observation and Geoinformation, 43: 177–194, http://dx. doi.org/10.1016/j.jag.2015.04.007.

Nguyen T T X, Bonetti J, Rogers K, Woodroffe C D. 2016. Indicator-based assessment of climate-change impacts on coasts: a review of concepts, methodological approaches and vulnerability indices. Ocean & Coastal Management, 123: 18–43, http://dx.doi.org/10.1016/j.ocecoaman.2015.11.022.

Petrosillo I, Semeraro T, Zaccarelli N, Aretano R, Zurlini G. 2013. The possible combined effects of land-use changes and climate conditions on the spatial-temporal patterns of primary production in a natural protected area. Ecological Indicators, 29: 367–375, http://dx.doi.org/10.1016/j.ecolind. 2013.01.025.

Qingdao Municipal Administration of Land, Resources & Housing. 2011. The Qingdao municipal land use plan (2006-2020). Qingdao Municipal Government Release 22-90, 30 December 2011, http://www.fdzy.gov.cn/fdzy/contentAction.do?itemID=6360. Accessed on 2011-12-31. (in Chinese)

Qingdao Municipal Urban Planning Bureau. 2008. The Qingdao City Master Plan (2006-2020). Qingdao Municipal Government Release 1-29, 20 October 2008, http://upb.qingdao.gov.cn/qdupb/news/2008102115425947254. shtml. Accessed on 2008-10-21. (in Chinese)

Scherner F, Antunes Horta P, de Oliveira E C, Carlos Simonassi J, Hall-Spencer J M, Chow F, Nunes J M C, Barreto Pereira S M. 2013. Coastal urbanization leads to remarkable seaweed species loss and community shifts along the SW Atlantic. Marine Pollution Bulletin, 76 (1-2): 106–115, http://dx.doi.org/10.1016/j.marpolbul.2013. 09.019.

Wang J, Hong H S, Zhou L M, Hu J Y, Jiang Y W. 2013. Numerical modeling of hydrodynamic changes due to coastal reclamation projects in Xiamen Bay, China. Chinese Journal of Oceanology and Limnology, 31(2): 334–344, http://dx.doi.org/10.1007/s00343-013-2109-z.

Wang N, Zhang L Q, Yuan L, Cao H B. 2012. Research into vulnerability assessment for coastal zones in the context of climate change. Acta Ecologica Sinica, 32 (7): 2248–2258, http://dx.doi.org/10.5846/stxb201109291437. (in Chinese with English abstract)

Wen L, Saintilan N, Yang X H, Hunter S, Mawer D. 2015. MODIS NDVI based metrics improve habitat suitability modelling in fragmented patchy floodplains. Remote Sensing Applications: Society and Environment, 1: 85–97, http://dx.doi.org/10.1016/j.rsase.2015.08.001.

White D C, Lewis M M, Green G, Gotch T B. 2016. A generalizable NDVI-based wetland delineation indicator for remote monitoring of groundwater flows in the Australian Great Artesian Basin. Ecological Indicators, 60: 1309–1320, http//dx.doi.org/10.1016/j.ecolind.2015. 01.032.

Yang F, Matsushita B, Fukushima T, Yang W. 2012. Temporal mixture analysis for estimating impervious surface area from multi-temporal MODIS NDVI data in Japan. ISPRS Journal of Photogrammetry and Remote Sensing, 72: 90–98, http://dx.doi.org/10.1016/j.isprsjprs.2012.05.016.

Zeng H, Chen X. 2010. An analysis on eco-environmental effect of vegetation in urbanized areas. Ecology and Environmental Sciences, 19 (11): 2737–2742, http://dx.doi.org/10.3969/j.issn.1674-5906.2010.11.039.

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