Empirical assessment of the relation between ecological connectivity and land complexity based on information-theoretic metrics

Gülçin, Derya

doi:10.1016/j.ecocom.2021.100969

Cited by 4 publications

(3 citation statements)

References 42 publications

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“…For example, the review of Boltzmann entropy in the application to land use and landscape patterns by Gao, P., and Li, Z. [ 21 ]; Yang Chao et al explored the structure relationship of land use in Guangdong Province by using information entropy of land use [ 22 ]; Gülçin, D. used information entropy correlation theory to assess the correlation between ecological connectivity and ecological environment [ 23 ]; and Xu Ze et al introduced the information entropy theory to assess the decoupling relationship between land use structure and carbon emissions [ 24 ]. The spatial econometric analysis model makes up for the shortcomings of classical econometric methods on the spatial relationship of elements, while overcoming the lack of quantitative analysis based on GIS platform for long-series data processing.…”

Section: Introductionmentioning

confidence: 99%

Do Land Use Structure Changes Impact Regional Carbon Emissions? A Spatial Econometric Study in Sichuan Basin, China

Lin

2022

IJERPH

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Human activities are closely related to carbon emissions and the mechanism of land-use structure change on carbon emissions is unclear. In this study, 143 counties in the Sichuan Basin of China were used as sample units, and the land use structure of each sample unit in the Sichuan Basin was measured by applying the information entropy theory, analyzing the spatial and temporal evolutionary characteristics and the influencing relationships of land use structure and carbon emissions in the Sichuan Basin, by spatial econometric analysis of panel data on carbon emissions and information entropy of land use structure over five time periods from 2000 to 2018. The results indicate that: the carbon emission intensity and information entropy of land use in the Sichuan basin are increasing over the years, and the cross-sectional data reflect inconsistent spatial distribution characteristics, with greater changes around large cities; both carbon emissions and land use structure are spatially auto-correlated, the information entropy of land use positively affects carbon emission intensity; carbon emissions have positive spillover effects, and changes in land use structure have no obvious regional impact on surrounding areas; there may be potential threshold areas for the impact of land-use structure change on carbon emissions. This study has certain reference value for land use planning and carbon emission reduction policies.

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Section: Introductionmentioning

confidence: 99%

Do Land Use Structure Changes Impact Regional Carbon Emissions? A Spatial Econometric Study in Sichuan Basin, China

Lin

2022

IJERPH

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“…For functional connectivity, material fluxes (e.g., the fluxes of water, sediment, and chemicals; Y. Liu, Cui, et al, 2020) and movements of organisms (Jahanishakib et al, 2021) are used to quantify functional connectivity among landscape units. Commonly used methods include field monitoring (Brooks et al, 2018; Tian et al, 2021), hydrological models (Tan et al, 2019), and an index‐based approach (e.g., hydrological connectivity metrics and ecological connectivity indicators; Gülçin, 2021). Hydrological connectivity metrics have been recommended as an effective strategy because they are easily characterized by GIS and remote sensing imagery (Zhang et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

A new framework combining hydrological connectivity metrics and morphological spatial pattern analysis for the hydrological connectivity evaluation of wetlands

Wei

Wang

Cai

et al. 2022

Integr Envir Assess & Manag

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The quantitative evaluation of wetland hydrological connectivity is essential to the hydrological connectivity restorationoriented ecological conservation and environmental management of wetlands. We proposed a framework to evaluate wetland hydrological connectivity with a combination of hydrological connectivity metrics and morphological spatial pattern analysis and recognized potential sites and links that had been generally overlooked in previous studies. Variations in hydrological connectivity revealed a decreasing trend followed by a gradual recovery from the critical time node of 2005 in Baiyangdian Lake. The core, one of the most important landscape types, played a dominant role in maintaining wetland hydrological connectivity at both temporal and spatial scales, and its variations matched those of hydrological connectivity. More importantly, we redressed the conventional ignorance of peripheral patches and links and recognized their importance in improving the hydrological connectivity of wetlands. The proposed framework provides an effective and practical tool for the hydrological connectivity evaluation of wetlands, expanding new insights into maintaining the health and integrity of wetland ecosystems.

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“…Methodologically, the landscape pattern index based on the morphology of land use is an important method of landscape spatial pattern analysis, which makes it possible to analyze the correlations between ecological processes and landscape patterns [30]. In the practical world, with the increase of population and the development of urbanization, the pressure caused by the shortage of land supply and decline of quality in the ecological environment's quality faced by human beings is growing dramatically, such as the environment pollution, soil degradation and biodiversity reduction [31]. Therefore, this research was developed in response to the increasing demand for natural resources due to population growth, which leads to land use transition and in turn causes the evolution of landscape patterns and changes of ecosystem service functions.…”

Section: Introductionmentioning

confidence: 99%

Research on the Response of Ecosystem Service Function to Landscape Pattern Changes Caused by Land Use Transition: A Case Study of the Guangxi Zhuang Autonomous Region, China

Liu

Wang

Chen

et al. 2022

Land

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Land use transitions cause reconfigurations of regional landscape patterns which can further change the regional ecosystem service functions and its values, especially in environmentally fragile regions. Firstly, this paper theoretically examines the relationships between land use transitions, landscape pattern evolution and the responses of ecosystem service functions in the Guangxi Zhuang Autonomous Region (Guangxi). Then, it explores the spatio-temporal evolution features of land use transition by using land use change matrices, examines landscape patterns by using the landscape pattern index, and studies ecosystem service value (ESV) by revising the coefficients of ESV per unit area. Finally, focus is placed on the empirical analysis of ESV responses to landscape pattern evolution caused by land use transitions in Guangxi. The results show that: (1) Guangxi has undergone an overall intensity-changing process of land use transition at a moderate rate during 1990–2010 and at a drastic rate during 2010–2018. In general, the area of construction land and waterbodies has increased, while forested land, grassland and farmland have decreased. Landscape fragmentation and heterogeneity are higher in the central area than that in the surrounding areas, while patch aggregation and connectivity show an opposite trend. Forested land patches are highly clustered, while grassland and farmland are fragmented and scattered and construction land patches tend to have aggregated. (2) The total loss of ESV has reached 20.56 billion RMB in Guangxi, and all areas’ single ESVs have decreased to different degrees during the past 28 years. Spatially, the ESV distribution shows a differentiated pattern of low in the central plain and high in the surrounding mountain regions which are mainly dominated by high-value zones. (3) The total ESV has significant positive correlations with the largest patch index (LPI), COHESION and the Aggregation Index (AI), and significant negative correlations with the Number of Patches (NP) and the Shannon Diversity Index (SHDI), while the correlation with the Landscape Shape Index (LSI) is not significant, indicating that the influence on ESV caused by landscape pattern evolution varies greatly. (4) The change of land area and multi-directional shifts among different land use types caused by land use transitions in Guangxi could both lead to the evolution of landscape patterns. Further, ecological service function responded obviously to the landscape pattern evolution in Guangxi, causing significant changes in strengthening or weakening of the ecological service function and its value. This systematic analysis should help coordinate the relationship of regional land use regulation, landscape pattern optimization and ecosystem operation in Guangxi or even China.

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Empirical assessment of the relation between ecological connectivity and land complexity based on information-theoretic metrics

Cited by 4 publications

References 42 publications

Do Land Use Structure Changes Impact Regional Carbon Emissions? A Spatial Econometric Study in Sichuan Basin, China

Do Land Use Structure Changes Impact Regional Carbon Emissions? A Spatial Econometric Study in Sichuan Basin, China

A new framework combining hydrological connectivity metrics and morphological spatial pattern analysis for the hydrological connectivity evaluation of wetlands

Research on the Response of Ecosystem Service Function to Landscape Pattern Changes Caused by Land Use Transition: A Case Study of the Guangxi Zhuang Autonomous Region, China

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