Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Spatial-temporal Distribution of Salt Marshes in Intertidal Zone of China during 1985-2019

Version 1 : Received: 3 April 2021 / Approved: 5 April 2021 / Online: 5 April 2021 (14:28:19 CEST)

How to cite: Chen, G.; Ye, Z.; Jin, R.; He, J.; Wu, J.; Gu, J. Spatial-temporal Distribution of Salt Marshes in Intertidal Zone of China during 1985-2019. Preprints 2021, 2021040146 (doi: 10.20944/preprints202104.0146.v1). Chen, G.; Ye, Z.; Jin, R.; He, J.; Wu, J.; Gu, J. Spatial-temporal Distribution of Salt Marshes in Intertidal Zone of China during 1985-2019. Preprints 2021, 2021040146 (doi: 10.20944/preprints202104.0146.v1).

Abstract

Based on the cloud platform of Google Earth Engine (GEE), this study selected Landsat 5/8 and Sentinel-2 remote sensing images and used Support Vector Machine (SVM) classification method to classify the 35 years of intertidal salt marshes in China, and verified the classification results in combination with field survey. Finally, combining with various driving factors, the reasons and laws affecting the changes of salt marshes species and area were discussed and analyzed. The main results of the study are as follows:The main types of salt marshes plants in China include Phragmites australis, Spartina alterniflora, Suaeda salsa, Scirpus mariquete, Tamarix chinensis, Cyperus malaccensis and Sesuvium portulacastrum. The results salt marshes classification indicated that 166999.32 ha in 1985, 172893.87 ha in 1990, 174952.29 ha in 1995, 125567.51 ha in 2000, 93257.97 ha in 2005, 102539.04 ha in 2010, 96302.92 ha in 2015, and 115722.75 ha in 2019. The main driving factors of salt marsh change from 1985 to 2015 are reclamation, mudflat aquaculture, climate change, coastal zone erosion, invasion of alien species, and natural competition and succession among salt marshes species. The results can be used to quantitatively analyze the salt marshes carbon storage in space and time, and provide data support for the protection of salt marsh wetlands, the restoration of ecological functions and the implementation of "carbon neutral".

Keywords

Salt Marshes, Google Earth Engine, SVM, Distribution, China’s coast

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