The‘human-land relationship’has long been a central topic in geography,ecology,and social sciences.And dynamic monit-oring of the land use/cover change(LUCC)and landscape pattern studies of land use provide essentia...The‘human-land relationship’has long been a central topic in geography,ecology,and social sciences.And dynamic monit-oring of the land use/cover change(LUCC)and landscape pattern studies of land use provide essential theoretical support for this field.On the basis of physicogeographical regionalization and landscape ecology theory,this study proposed a method for characterizing land-scape pattern by using the minmium natural complex as the basic evaluation unit,constructing a four-level classification framework that included natural area,landscape region,landscape subregion,and landscape group.The method was tested in the Songhua River Basin,China,and the results revealed that:(1)the landscape pattern characterization in the Songhua River Basin validated the feasibility of the proposed method,and the use of the minimum natural complex as the basic measurement unit for landscape pattern characterization be-nefited research in this field.(2)The multiscale landscape pattern characterization system,which was framed around natural area,land-scape region,landscape subregion,and landscape group,accurately reflected the spatial heterogeneity of the physical geographic envir-onment and the impact of human activities on the landscape pattern in the Songhua River Basin.The nature-dominated landscape region was mainly concentrated in high-altitude mountainous and hilly areas,the human-dominated landscape region was located on plains and platforms,and the human-land interaction landscape region exhibited a landscape pattern that is closely related to natural factors such as temperature,precipitation,and soil.(3)The proposed method not only revealed the complex interactions between the physical geograph-ic environment and human activities but also provided scientific support for land use planning and ecological environment management.Future research should incorporate higher-resolution data and socioeconomic factors to further explore the dynamic changes in land-scape patterns and their impacts on the regional ecological environment.展开更多
Land use change has a profound impact on biodiversity and ecological processes, and is closely related to changes in landscape patterns. This paper introduces the theory and method of land economic niche into landscap...Land use change has a profound impact on biodiversity and ecological processes, and is closely related to changes in landscape patterns. This paper introduces the theory and method of land economic niche into landscape ecology, which provides a new method for spatial characterization of urban and rural spatial landscape patterns. Based on this theory, this paper analyzes the landscape pattern of Ganzhou District by using Landsat images as data source in 1995, 2000, 2005, 2010 and 2015. We calculated the land economic niche by applying the niche potential theory. Combined with the theory of landscape ecology, we explored the effects of the land economic niche change on the landscape pattern at a county scale. The results show that economic niche of construction land, watershed and farmland increased during 1995-2015, and grassland declined significantly. The economic niche of farmland, construction land, watershed and grassland show a negative correlation with the number of patches （NP）, fragmentation index （FN） and the fractal dimension index （FD）, and had a positive correlation with the aggregation index （AI）. There was no significant correlation between the forest land economic niche and landscape metrics. The change of land economic niche has a driving effect on the landscape pattern of the county, which can represent the economic development direction of Ganzhou District. The land economic niche is closely related to the landscape type which can directly obtain an economic benefit.展开更多
Dear Editor,The brain experiences ongoing changes across different ages to support brain development and functional reorganization.During the span of adulthood,although the brain has matured from a neurobiological per...Dear Editor,The brain experiences ongoing changes across different ages to support brain development and functional reorganization.During the span of adulthood,although the brain has matured from a neurobiological perspective,it is still continuously shaped by external factors such as habits,the family setting,socioeconomic status,and the work environment [1].In contrast to chronological age (CA),brain(or biological) age (BA) is conceptualized as an important index for characterizing the aging process and neuropsychological state,as well as individual cognitiveperformance.Growing evidence indicates that BA can be assessed by neuroimaging techniques,including MRI [2].展开更多
The droplet size, size distribution, refractive index, and temperature can be measured simultaneously by the rainbow technique. In the present work, the rainbow scattering diagram for a spherical droplet in the second...The droplet size, size distribution, refractive index, and temperature can be measured simultaneously by the rainbow technique. In the present work, the rainbow scattering diagram for a spherical droplet in the secondary rainbow region is simulated by the use of the generalized Lorenz-Mie theory. For achieving high spatial resolution in denser droplet sprays, a focused Gaussian beam is used. For droplet characterization, different inversion algorithms are investigated, which includes trough-trough (<em>θ</em><sub>min1</sub> and <em>θ</em><sub>min2</sub>) method and inflection-inflection (<em>θ</em><sub>inf1</sub> and <em>θ</em><sub>inf2</sub>) method. For the trough-trough algorithm, the absolute error of the refractive index is between −6.4 × 10<sup>−4</sup> and 1.7 × 10<sup>−4</sup>, and the error of the droplet radius is only between −0.55% and 1.77%. For the inflection-inflection algorithm, the maximum absolute error of the inverted refractive index is less than −1.1 × 10<sup>−3</sup>. The error of the droplet radius is between −0.75% and 5.67%.展开更多
The relationship between geology and landforms has long been established with quantitative analysis dating back more than 100 years. The surface expression of various subsurface lithologies motivates our effort to dev...The relationship between geology and landforms has long been established with quantitative analysis dating back more than 100 years. The surface expression of various subsurface lithologies motivates our effort to develop an automated terrain classification algorithm based solely on topographic information. The nexus of several factors has recently provided the opportunity to advance our understanding of the relationship between topography and geology within a rigorous quantitative framework, including recent advances in the field of geomorphometrics (the science of quantitative land surface analysis), the availability of very high resolution (sub meter) digital elevation models, and increasing sophisticated geomorphology and image analysis techniques. In the present study, the geological and geomorphological units in an exemplar study area located in Western U.S. (southern Nevada) have been delineated through an evaluation of a high resolution (1-meter and 0.25-meter) digital elevation model. The morphological aspects of these features obtained from DEMs generated from different sources are compared. Our analysis demonstrates that a 1-meter DEM can provide a terrain characterization that can differentiate underlying lithological types and a very high resolution DEM (0.25 meter) can be used to evaluate fracture patterns.展开更多
基金Under the auspices of Strategic Priority Research Program(A)of the Chinese Academy of Sciences(No.XDA28080503)National Natural Science Foundation of China(No.42071025)the Youth Innovation Promotion Association of Chinese Academy of Sciences(No.2023240)。
文摘The‘human-land relationship’has long been a central topic in geography,ecology,and social sciences.And dynamic monit-oring of the land use/cover change(LUCC)and landscape pattern studies of land use provide essential theoretical support for this field.On the basis of physicogeographical regionalization and landscape ecology theory,this study proposed a method for characterizing land-scape pattern by using the minmium natural complex as the basic evaluation unit,constructing a four-level classification framework that included natural area,landscape region,landscape subregion,and landscape group.The method was tested in the Songhua River Basin,China,and the results revealed that:(1)the landscape pattern characterization in the Songhua River Basin validated the feasibility of the proposed method,and the use of the minimum natural complex as the basic measurement unit for landscape pattern characterization be-nefited research in this field.(2)The multiscale landscape pattern characterization system,which was framed around natural area,land-scape region,landscape subregion,and landscape group,accurately reflected the spatial heterogeneity of the physical geographic envir-onment and the impact of human activities on the landscape pattern in the Songhua River Basin.The nature-dominated landscape region was mainly concentrated in high-altitude mountainous and hilly areas,the human-dominated landscape region was located on plains and platforms,and the human-land interaction landscape region exhibited a landscape pattern that is closely related to natural factors such as temperature,precipitation,and soil.(3)The proposed method not only revealed the complex interactions between the physical geograph-ic environment and human activities but also provided scientific support for land use planning and ecological environment management.Future research should incorporate higher-resolution data and socioeconomic factors to further explore the dynamic changes in land-scape patterns and their impacts on the regional ecological environment.
基金National Natural Science Foundation of China(Grant No.41771130 and Grant No.41661035)
文摘Land use change has a profound impact on biodiversity and ecological processes, and is closely related to changes in landscape patterns. This paper introduces the theory and method of land economic niche into landscape ecology, which provides a new method for spatial characterization of urban and rural spatial landscape patterns. Based on this theory, this paper analyzes the landscape pattern of Ganzhou District by using Landsat images as data source in 1995, 2000, 2005, 2010 and 2015. We calculated the land economic niche by applying the niche potential theory. Combined with the theory of landscape ecology, we explored the effects of the land economic niche change on the landscape pattern at a county scale. The results show that economic niche of construction land, watershed and farmland increased during 1995-2015, and grassland declined significantly. The economic niche of farmland, construction land, watershed and grassland show a negative correlation with the number of patches （NP）, fragmentation index （FN） and the fractal dimension index （FD）, and had a positive correlation with the aggregation index （AI）. There was no significant correlation between the forest land economic niche and landscape metrics. The change of land economic niche has a driving effect on the landscape pattern of the county, which can represent the economic development direction of Ganzhou District. The land economic niche is closely related to the landscape type which can directly obtain an economic benefit.
基金supported by the National Natural Science Foundation of China(61971420)the Beijing Brain Initiative of the Beijing Municipal Science and Technology Commission(Z181100001518003)+1 种基金Special Projects of Brain Science of the Beijing Municipal Science and Technology Commission(Z161100000216139 and Z171100000117002)the International Cooperation and Exchange of the National Natural Science Foundation of China(31620103905)。
文摘Dear Editor,The brain experiences ongoing changes across different ages to support brain development and functional reorganization.During the span of adulthood,although the brain has matured from a neurobiological perspective,it is still continuously shaped by external factors such as habits,the family setting,socioeconomic status,and the work environment [1].In contrast to chronological age (CA),brain(or biological) age (BA) is conceptualized as an important index for characterizing the aging process and neuropsychological state,as well as individual cognitiveperformance.Growing evidence indicates that BA can be assessed by neuroimaging techniques,including MRI [2].
文摘The droplet size, size distribution, refractive index, and temperature can be measured simultaneously by the rainbow technique. In the present work, the rainbow scattering diagram for a spherical droplet in the secondary rainbow region is simulated by the use of the generalized Lorenz-Mie theory. For achieving high spatial resolution in denser droplet sprays, a focused Gaussian beam is used. For droplet characterization, different inversion algorithms are investigated, which includes trough-trough (<em>θ</em><sub>min1</sub> and <em>θ</em><sub>min2</sub>) method and inflection-inflection (<em>θ</em><sub>inf1</sub> and <em>θ</em><sub>inf2</sub>) method. For the trough-trough algorithm, the absolute error of the refractive index is between −6.4 × 10<sup>−4</sup> and 1.7 × 10<sup>−4</sup>, and the error of the droplet radius is only between −0.55% and 1.77%. For the inflection-inflection algorithm, the maximum absolute error of the inverted refractive index is less than −1.1 × 10<sup>−3</sup>. The error of the droplet radius is between −0.75% and 5.67%.
文摘The relationship between geology and landforms has long been established with quantitative analysis dating back more than 100 years. The surface expression of various subsurface lithologies motivates our effort to develop an automated terrain classification algorithm based solely on topographic information. The nexus of several factors has recently provided the opportunity to advance our understanding of the relationship between topography and geology within a rigorous quantitative framework, including recent advances in the field of geomorphometrics (the science of quantitative land surface analysis), the availability of very high resolution (sub meter) digital elevation models, and increasing sophisticated geomorphology and image analysis techniques. In the present study, the geological and geomorphological units in an exemplar study area located in Western U.S. (southern Nevada) have been delineated through an evaluation of a high resolution (1-meter and 0.25-meter) digital elevation model. The morphological aspects of these features obtained from DEMs generated from different sources are compared. Our analysis demonstrates that a 1-meter DEM can provide a terrain characterization that can differentiate underlying lithological types and a very high resolution DEM (0.25 meter) can be used to evaluate fracture patterns.
