Prediction of Adaptability of Typical Vegetation Species in Flood Storage Areas under Future Climate Change: A Case in Hongze Lake FDZ, China

Author:

Wang Liang1ORCID,Cheng Jilin1,Jiang Yushan1,Liu Nian2,Wang Kai2

Affiliation:

1. School of Water Resources Science and Engineering, Yangzhou University, Yangzhou 225009, China

2. Suqian Water Conservancy Bureaut, Suqian 223800, China

Abstract

China experiences frequent heavy rainfall and flooding events, which have particularly increased in recent years. As flood storage zones (FDZs) play an important role in reducing disaster losses, their ecological restoration has been receiving widespread attention. Hongze Lake is an important flood discharge area in the Huaihe River Basin of China. Previous studies have preliminarily analyzed the protection of vegetation zones in the FDZ of this lake, but the future growth trend of typical vegetation in the area has not been considered as a basis for the precise protection of vegetation diversity and introductory cultivation of suitable species in the area. Taking the FDZ of Hongze Lake as an example, this study investigated the change trend of the suitability of typical vegetation species in the Hongze Lake FDZ based on future climate change and the distribution pattern of the suitable areas. To this end, the distribution of potentially suitable habitats of 20 typical vegetation species in the 2040s was predicted under the SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 climate scenarios using the latest Coupled Model Intercomparison Project CMIP6. The predicted distribution was compared with the current distribution of potentially suitable habitats. The results showed that the model integrating high-performance random forest, generalized linear model, boosted tree model, flexible discriminant analysis model, and generalized additive model had significantly higher TSS and AUC values than the individual models, and could effectively improve model accuracy. The high sensitivity of these 20 typical vegetation species to temperature and rainfall related factors reflects the climatic characteristics of the study area at the junction of subtropical monsoon climate and temperate monsoon climate. Under future climate scenarios, with reference to the current scenario of the 20 typical species, the suitability for Nelumbo nucifera Gaertn decreased, that for Iris pseudacorus L. increased in the western part of the study area but decreased in the eastern wetland and floodplain, and the suitability of the remaining 18 species increased. This study identified the trend of potential suitable habitat distribution and the shift in the suitability of various typical vegetation species in the floodplain of Hongze Lake. The findings are important for the future enhancement of vegetation habitat conservation and suitable planting in the study area, and have implications for the restoration and conservation of vegetation diversity in most typical floodplain areas.

Publisher

MDPI AG

Reference49 articles.

1. Research on Ecological Restoration of Flood Storage and Detention Areas;Wang;Water Res. Hydropower Eng.,2003

2. Plant Ecological Restoration Technology for Flood Storage and Detention Areas: A Case Study of the Waste Grass Levee Flood Storage and Detention Area in Quanjiao County;Wang;Anhui For. Sci. Technol.,2016

3. Evaluation of vegetation construction techniques in degraded areas of Hongze Lake wetland;Li;J. Anhui Agric. Sci.,2022

4. Phenological Changes of Soybean in Response to Climate Conditions in Frigid Region in China over the Past Decades;Gong;Int. J. Plant Prod.,2021

5. Linking the influence and dependence of people on biodiversity across scales;Isbell;Nature,2017

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