Effects of Climate and Land Use changes on Vegetation Dynamics in the Yangtze River Delta, China Based on Abrupt Change Analysis

Wan, Lei; Liu, Huiyu; Gong, Haibo; Ren, Yueping

doi:10.3390/su12051955

Cited by 14 publications

(5 citation statements)

References 70 publications

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“…The Tibet Plateau has a plateau climate with dry and cold weather all year round (X. Li et al., 2020; Zhao et al., 2017), where herbaceous marshes, marsh meadows, and inland salt marshes are the main marsh types. The middle and lower reaches of the Yangtze River area have a subtropical monsoon climate with abundant rainfall (Liu et al., 2020; Wan et al., 2020). In this study, we selected and analyzed six types of marshes, namely herbaceous marshes, marsh meadows, inland salt marshes, seasonal saltwater marshes, forest swamp, and bush swamp.…”

Section: Methodsmentioning

confidence: 99%

Spatiotemporal Change of Marsh Vegetation and Its Response to Climate Change in China From 2000 to 2019

et al. 2021

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China has the third largest area of marshes in the world. Understanding the change of marsh, vegetation and its response to climate change in China is important for the protection of wetland ecosystem. Based on the climate and normalized difference vegetation index (NDVI) data, we investigated the spatiotemporal variation in vegetation and its response to climate change for different types of marshes in China. The results indicated that growing season NDVI increased significantly (0.02/decade, P < 0.01) over the whole marshes of China from 2000 to 2019. The increased precipitation and minimum temperature during the growing season could promote the growth of marsh vegetation over China. This study found for the first time that the increase of temperature during the day and at night had asymmetric effects on vegetation growth in marshes of China, and the positive effect of night warming was more significant. Spatially, increasing growing season precipitation was beneficial to the vegetation growth of herbaceous marshes, marsh meadows, inland salt marshes, and seasonal saltwater marshes in eastern Inner Mongolia. Increased growing season minimum temperature could greatly promote the vegetation growth of marsh meadows, herbaceous marshes, inland salt marshes, forest swamp, and bush swamp in cold and high‐altitude regions of Northern Northeast China and the Tibet Plateau. In the context of global climate change, more attention should be paid to the different responses of vegetation to climate change for different marsh types, especially when we use the model to simulate the impact of climate change on vegetation in different marsh regions of China.

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Section: Methodsmentioning

confidence: 99%

Spatiotemporal Change of Marsh Vegetation and Its Response to Climate Change in China From 2000 to 2019

et al. 2021

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“…The sustainable development of land use affects biodiversity, food security, carbon storage, and other issues. Taking these influencing factors as variables in the application of GA will be a research focus in the future [116,117].…”

Section: Discussionmentioning

confidence: 99%

The Application of Genetic Algorithm in Land Use Optimization Research: A Review

Ding

Zheng

2021

Land

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Land use optimization (LUO) first considers which types of land use should exist in a certain area, and secondly, how to allocate these land use types to specific land grid units. As an intelligent global optimization search algorithm, the Genetic Algorithm (GA) has been widely used in this field. However, there are no comprehensive reviews concerning the development process for the application of the Genetic Algorithm in land use optimization (GA-LUO). This article used a bibliometric analysis method to explore current state and development trends for GA-LUO from 1154 relevant documents published over the past 25 years from Web of Science. We also displayed a visualization network from the aspects of core authors, research institutions, and highly cited literature. The results show the following: (1) The countries that published the most articles are the United States and China, and the Chinese Academy of Sciences is the research institution that publishes the most articles. (2) The top 10 cited articles focused on describing how to build GA models for multi-objective LUO. (3) According to the number of keywords that appear for the first time in each time period, we divided the process of GA-LUO into four stages: the presentation and improvement of methods stage (1995–2004), the optimization stage (2005–2008), the hybrid application of multiple models stage (2009–2016), and the introduction of the latest method stage (after 2017). Furthermore, future research trends are mainly manifested in integrating together algorithms with GA and deepening existing research results. This review could help researchers know this research domain well and provide effective solutions for land use problems to ensure the sustainable use of land resources.

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“…8 Land use map in different periods of the Min River Basin The land cover change in Min River Basin from 1980 to 2020 shows fluctuating changes, the grassland area coverage increases from 42.15% to 42.58, and the increased area is 105km 2 (Table 5); the increase in construction land changes more between 1980 and 2020, and the area increase rate is 0.23%, which indicates that with the continuous development of industrialization and urbanization, the construction land area increases gradually with time; the un The trend of decrease and then increase in a barren land, and the decrease in the forest, cropland, and wetland area indicate that human activities have had an impact on the habitats in the watershed. In recent years, human activities in the Min River basin have increased significantly, leading to a rapid increase in the proportion of land used for construction and a decrease in wetland areas 29,30 .…”

Section: Impact Of Land-use Change On Runoff Changes In the Watershedmentioning

confidence: 99%

Comprehensive Analysis on the Hydrologic Alteration and Causes of River Runoff in Min River of the Yangtze River, China

Guo

Zhou

Jiao

et al. 2022

Preprint

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The construction of water conservancy projects has changed the hydrological situation of rivers and has an essential impact on the river ecosystem. The influence modes of different factors on runoff alteration are discussed to improve the development and utilization of water resources and promote ecological benefits. The ecological, hydrological index change range method (IHA-RVA) and hydrological alteration degree method were comprehensively used to evaluate Min River's hydrological situation. Based on six budyko hypothesis formulas, the contribution rates of climate change and human activities to runoff change are quantitatively analyzed. The study showed that the runoff of Min River basin showed a significant decreasing trend from 1960 to 2019 and a sudden alteration around 1993; The overall alteration in runoff conditions was 45% moderate, and the overall alteration in precipitation was 37% moderate; Precipitation and potential evapotranspiration also showed a decreasing trend within the same period, but the overall trend was not significant; The contribution of climate alteration to runoff alteration is 30.2%, and the contribution of human activities to runoff alteration is 69.8%, human activities are the dominant factor affecting the alteration of runoff situation in Min River basin.

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Effects of Climate and Land Use changes on Vegetation Dynamics in the Yangtze River Delta, China Based on Abrupt Change Analysis

Cited by 14 publications

References 70 publications

Spatiotemporal Change of Marsh Vegetation and Its Response to Climate Change in China From 2000 to 2019

Spatiotemporal Change of Marsh Vegetation and Its Response to Climate Change in China From 2000 to 2019

The Application of Genetic Algorithm in Land Use Optimization Research: A Review

Comprehensive Analysis on the Hydrologic Alteration and Causes of River Runoff in Min River of the Yangtze River, China

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