scholarly journals Spatial Responses of Vegetation-Soil System to Complex Factors in a Sandy-Rocky Island Chain

2021 ◽  
Author(s):  
Yuan Chi ◽  
Zuolun Xie
Keyword(s):  
Influencing Factors ◽  
Landscape Pattern ◽  
Soil Health ◽  
Anthropogenic Factors ◽  
Natural Ecosystem ◽  
Ecological Indices ◽  
Health Index ◽  
Soil System ◽  
The Difference ◽  
Sea Reclamation

Abstract The vegetation-soil system is fundamental to island ecosystem and changes considerably across sandy and rocky islands due to different natural and anthropogenic factors. An island chain, which is characterized by the coexistence of sandy and rocky islands, the connection of the islands by bridges, and complex influencing factors, was used as the study area. The vegetation-soil system was represented using different indicators and three newly-proposed indices, namely, vegetation health index (VHI), soil health index (SHI), and vegetation-soil system health index (VSSHI). The complex factors were identified in aspects of island basic factors, landscape pattern, terrain condition, and ecological indices. Then, the spatial responses of the system to the factors were analyzed at island and site scales. Results indicated that the vegetation-soil system showed similar and different responses to the complex factors across the dual scales. The similarity was represented by the higher sensitivities of VHI and VSSHI compared with that of SHI at both scales, and the difference mainly indicated that the influences of landscape pattern factors distinctly decreased along the scales from island to site. Island area, sea reclamation proportion, vegetation proportion, and natural ecosystem damaged index were the most important factors at island scale, while the ecological indices showed the highest influences at site scale. The study revealed the spatial characteristics of the vegetation-soil system across different types of islands, clarified the spatial responses of the system to complex factors at the dual scales, and identified the main influencing factors of the system.

scholarly journals Spatial Distribution and Land Use of Traditional Villages in Southwest China

2021 ◽  
Vol 13 (11) ◽  
pp. 6326
Author(s):  
Xiye Zheng ◽  
Jiahui Wu ◽  
Hongbing Deng
Keyword(s):  
Cultural Heritage ◽  
Influencing Factors ◽  
Landscape Pattern ◽  
Southwest China ◽  
Spatial Clustering ◽  
Interaction Mechanism ◽  
Cultivated Land ◽  
River Population ◽  
Local Conditions ◽  
Countermeasures And Suggestions

Traditional villages are the historical and cultural heritage of people around the world. With the increases in urbanization and industrialization, the continuation of traditional villages and the inheritance of historical and cultural heritage are facing risk. Therefore, to grasp the spatial characteristics of them and the human–nature interaction mechanism in Southwest China, we analyzed the distribution pattern of traditional villages using the ArcGIS software. Then, we further analyzed the spatial clustering characteristics, influencing factors and landscape pattern, and put forward relevant protection countermeasures and suggestions. The results revealed that traditional villages in Southwest China were clustered, being mainly distributed in areas with relatively low elevation, gentle slopes, low relative positions, nearby water sources, and convenient transportation. They can be divided into four categories due to obvious differences in influencing factors such as elevation, slope, relative position, distance to the nearest river, population density, etc. The landscape pattern of traditional villages differed among the different clusters, being mainly composed of forests, shrubs, and cultivated land. With the increase in the buffer radius, the landscape pattern of them changed significantly. The results of this study reflect that traditional villages and the natural environment are interdependent, so the protection of traditional villages should carry out measures according to local conditions.

Assessment of landscape changes under different urban dynamics based on a multiple-scenario modeling approach

2020 ◽  
Vol 47 (8) ◽  
pp. 1361-1379
Author(s):  
Chao Xu ◽  
Dagmar Haase ◽  
Meirong Su ◽  
Yutao Wang ◽  
Stephan Pauleit
Keyword(s):  
Influencing Factors ◽  
Landscape Pattern ◽  
Urban Landscape ◽  
Diversity Index ◽  
Housing Demand ◽  
Landscape Patterns ◽  
Urban Region ◽  
Aggregation Index ◽  
Rapid Urbanization ◽  
Urban Dynamics

In the context of rapid urbanization, it remains unclear how urban landscape patterns shift under different urban dynamics, in particular taking different influencing factors of urban dynamics into consideration. In the present study, three key influencing factors were considered, namely, housing demand, spatial structure, and growth form. On this basis, multiple urban dynamic scenarios were constructed and then calculated using either an autologistic regression–Markov chain–based cellular automata model or an integer programming-based urban green space optimization model. A battery of landscape metrics was employed to characterize and quantitatively assess the landscape pattern changes, among which the redundancy was pre-tested and reduced using principal component analysis. The case study of the Munich region, a fast-growing urban region in southern Germany, demonstrated that the changes of the patch complexity index and the landscape aggregation index were largely similar at sub- and regional scales. Specifically, low housing demand, monocentric and compact growth scenarios showed higher levels of patch complexity but lower levels of landscape aggregation, compared to high housing demand, polycentric and sprawl growth scenarios, respectively. In contrast, the changes in the landscape diversity index under different scenarios showed contrasting trends between different sub-regional zones. The findings of this study provide planners and policymakers with a more in-depth understanding of urban landscape pattern changes under different urban planning strategies and its implications for landscape functions and services.

scholarly journals Soil Functional Responses to Natural Ecosystem Restoration of a Pine Forest Peucedano-Pinetum after a Fire

Forests ◽  
2020 ◽  
Vol 11 (3) ◽  
pp. 286 ◽  
Author(s):  
Edyta Hewelke ◽  
Ewa Beata Górska ◽  
Dariusz Gozdowski ◽  
Marian Korc ◽  
Izabella Olejniczak ◽  
...  
Keyword(s):  
Forest Fires ◽  
Soil Depth ◽  
Water Drop ◽  
Soil Microbial Communities ◽  
Internal Transcribed Spacers ◽  
Water Infiltration ◽  
Species Structure ◽  
Natural Ecosystem ◽  
Functional Responses ◽  
Soil System

Progressing climate change increases the frequency of droughts and the risk of the occurrence of forest fires with an increasing range and a dramatic course. The availability of water and its movement within an ecosystem is a fundamental control of biological activity and physical properties, influencing many climatic processes, whereas soil water repellency (SWR) is a key phenomenon affecting water infiltration into the soil system. Focusing on wide-spectrum effects of fire on the soil system, the research was conducted on a pine stand (Peucedano-Pinetum W. Mat. (1962) 1973) in Kampinos National Park located in central Poland, affected by severe and weak fires, as well as control plots. The main aim of the study was to examine the regeneration of the ecosystem 28 months after the occurrence of a fire. The effect of SWR and soil moisture content, total organic carbon, nitrogen and pH, and gain an understanding of the environmental conditions and processes that shaped the evolution of the species structure of soil microorganism communities (fungal vs. bacterial) have been examined. The Water Drop Penetration Time (WDPT) test was used to assess spatial variability of SWR in 28 plots. Soil bacterial and fungal communities were analysed by Illumina’MISeq using 16S rRNA and Internal Transcribed Spacers 1 (ITS1) regions in six selected plots. After a relatively wet summer, elevated hydrophobicity occurred in areas affected by a weak fire as much as 20 cm into the soil depth. The severe fire and subsequent increase in the richness of the succession of non-forest species contributed to the elimination of hydrophobicity. SWR was more closely linked to the structure and diversity of soil microbial communities than soil physicochemical properties that took place in response to the fire. A statistically significant relationship between the relative occurrence of microorganisms (≥ 1.0% in at least one of the samples) and SWR was established for the following fungi and bacteria species: Archaeorhizomyces sp., Leotiomycetes sp., Byssonectria fusispora, Russula vesca, Geminibasidium sp., family Isosphaeraceae and Cyanobacteria (class 4C0d-2, order MLE1-12). Insight into the functional roles of the individual identified microbial taxa that may be responsible for the occurrence of hydrophobicity was also presented.

scholarly journals KOMPARASI ELASTISITAS PEMBIAYAAN PENANGGULANGAN PENYAKIT MENULAR DIREGIONAL JAWA BALI DAN PAPUA

2018 ◽  
Vol 21 (2) ◽  
pp. 133-140
Author(s):  
Nuzulul Kusuma Putri ◽  
Herti Maryani ◽  
Thinni Nurul Rochmah ◽  
Ernawaty Ernawaty
Keyword(s):  
Analytical Study ◽  
Communicable Disease ◽  
Health Condition ◽  
T Test ◽  
Health Programs ◽  
Health Index ◽  
Cross Sectional ◽  
Health Characteristic ◽  
The Difference ◽  
The Ideal

The rapid growth and the various communicable diseases should be compensated with qualifi ed health programs. The programs’ budget should be able to meet the need of communicable disease intervention. In the era of decentralization, differences in the ability of each district in handling health problems could triger the disparity between districts. This research analyzes the difference of budget elasticity that existed in the communicable disease intervention between districts in Java Bali and Papua region. This is an analytical study which analyze the difference of communicable disease budget elasticity based on the geographic characteristics, fi scal capacity, and health status in each districts. The data is collected cross sectional in all districts that exist in Java Bali and Papua as the population. The difference of elasticity based on each indicator used in this study was analysed using independent t-test. The elasticity of communicable disease prevention fi nancing is different among districts with different public health index inJava Bali and Papua regional. Themajority of communicable disease budget in districts are inelastic, in both regions. It is different with the assumption that budget elasticity of communicable disease should be responsive. The budget elasticity of communicable disease in Indonesia is infl uenced by its health condition of each district. This condition is contrast to the ideal budget elasticity that should be elastic in accordance to the communicable disease problems. The use of economic assumption for further research should be concerns to the uncertainty of health characteristic. Abstrak Tingginya laju pertumbuhan dan bervariasinya jenis penyakit menular harus diimbangi dengan upaya penanggulangan yang responsif. Pembiayaan penanggulangan penyakit menular harus menyesuaikan dengan perkembangan penyakit menular. Di era desentralisasi, terdapat perbedaan kemampuan tiap daerah dalam pembiayaan kesehatan sehingga menyebabkan adanya disparitas penyakit antar daerah. Penelitian ini bertujuan untuk melakukan komparasi elastisitas pembiayaan yang telah dikeluarkan oleh pemerintah daerah dalam penanggulangan penyakit menular di regional Jawa Bali dan Papua. Komparasi ini dilakukan sebagai analisis lanjut Riset Pembiayaan Kesehatan tahun 2015 oleh Badan Penelitian dan Pengembangan Kesehatan Kementerian Kesehatan RI. Penelitian analitik ini melakukan komparasi elastisitas pembiayaan  penanggulangan penyakit menular berdasarkan perbedaan karakteristik geografi , kemampuanfiskal, dan status kesehatan pada setiap kabupaten/kota yang ada di regional Jawa Bali dan Papua. Data dikumpulkan secara cross sectional pada Dinas Kesehatan kabupaten/kota yang ada di regional Jawa Bali dan Papua. Komparasi elastisitas terhadap setiap indikator yang digunakan dalam penelitian ini dianalisis menggunakan independent t-test. Elastisitas pembiayaan penanggulangan penyakit menular antar Kabupaten/Kota berbeda pada regional Jawa Bali dan Papua dengan IPKM berbeda. Kondisi pembiayaan penanggulangan penyakit menular yang seharusnya elastis, tidak terjadi pada kedua regional. Mayoritas Kabupaten/Kota cenderung inelastis dalam membiayai penanggulangan penyakit menular di masing-masing daerah. Elasitisitas pembiayaan penanggulangan penyakit menular pada Kabupaten/Kota di Indonesia dipengaruhi oleh kondisi kesehatan masing-masing daerah. Kondisi ini bertolak belakang dengan asumsipembiayaan penanggulangan penyakit menular yang harusnya responsif sesuai dengan masalah penyakit menular yang muncul. Penggunaan asumsi yang juga memperhatikan beberapa masalah kesehatan lain merupakan hal yang perlu digunakan pada penelitian selanjutnya.

scholarly journals Impacts of socio-economic determinants, spatial distance and climate factors on the confirmed cases and deaths of COVID-19 in China

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0255229
Author(s):  
Xiao-Dong Yang ◽  
Xin-Yi Su ◽  
Hong-Li Li ◽  
Ren-Feng Ma ◽  
Fang-Jie Qi ◽  
...  
Keyword(s):  
Population Size ◽  
Influencing Factors ◽  
Hubei Province ◽  
Capital City ◽  
Spatial Distance ◽  
Climate Factors ◽  
Wuhan City ◽  
Economic Determinants ◽  
Relative Contribution ◽  
The Difference

This study is to assess the influences of climate, socio-economic determinants, and spatial distance on the confirmed cases and deaths in the raise phase of COVID-19 in China. The positive confirmed cases and deaths of COVID-19 over the population size of 100,000 over every 5 consecutive days (the CCOPSPTT and DOPSPTT for short, respectively) covered from 25th January to 29th February, 2020 in five city types (i.e., small-, medium-, large-, very large- and super large-sized cities), along with the data of climate, socio-economic determinants, spatial distance of the target city to Wuhan city (DW, for short), and spatial distance between the target city and their local province capital city (DLPC, for short) were collected from the official websites of China. Then the above-mentioned influencing factors on CCOPSPTT and DOPSPTT were analyzed separately in Hubei and other provinces. The results showed that CCOPSPTT and DOPSPTT were significantly different among five city types outside Hubei province (p < 0.05), but not obviously different in Hubei province (p > 0.05). The CCOPSPTT had significant correlation with socio-economic determinants (GDP and population), DW, climate and time after the outbreak of COVID-19 outside Hubei province (p < 0.05), while was only significantly related with GDP in Hubei province (p < 0.05). The DOPSPTT showed significant correlation with socio-economic determinants, DW, time and CCOPSPTT outside Hubei province (p < 0.05), while was significantly correlated with GDP and CCOPSPTT in Hubei province (p < 0.05). Compared with other factors, socio-economic determinants have the largest relative contribution to variance of CCOPSPTT in all studied cities (> 78%). The difference of DOPSPTT among cities was mainly affected by CCOPSPTT. Our results showed that influences of city types on the confirmed cases and death differed between Hubei and other provinces. Socio-economic determinants, especially GDP, have higher impact on the change of COVID-19 transmission compared with other factors.

scholarly journals Landscape metrics application in ecological and visual landscape assessment

2017 ◽  
pp. 29-50
Author(s):  
Suzana Gavrilovic ◽  
Nevena Vasiljevic ◽  
Boris Radic ◽  
Vladimir Pihler
Keyword(s):  
Landscape Metrics ◽  
Landscape Pattern ◽  
Development Planning ◽  
Landscape Composition ◽  
Anthropogenic Factors ◽  
Future Research ◽  
Landscape Assessment ◽  
Landscape Values ◽  
Visual Landscape ◽  
Landscape Composition And Configuration

The development of landscape-ecological approach application in spatial planning provides exact theoretical and empirical evidence for monitoring ecological consequences of natural and/or anthropogenic factors, particularly changes in spatial structures caused by them. Landscape pattern which feature diverse landscape values is the holder of the unique landscape character at different spatial levels and represents a perceptual domain for its users. Using the landscape metrics, the parameters of landscape composition and configuration are mathematical algorithms that quantify the specific spatial characteristics used for interpretation of landscape features and processes (physical and ecological aspect), as well as forms (visual aspect) and the meaning (cognitive aspect) of the landscape. Landscape metrics has been applied mostly in the ecological and biodiversity assessments as well as in the determination of the level of structural change of landscape, but more and more applied in the assessment of the visual character of the landscape. Based on a review of relevant literature, the aim of this work is to show the main trends of landscape metrics within the aspect of ecological and visual assessments. The research methodology is based on the analysis, classification and systematization of the research studies published from 2000 to 2016, where the landscape metrics is applied: (1) the analysis of landscape pattern and its changes, (2) the analysis of biodiversity and habitat function and (3) a visual landscape assessment. By selecting representative metric parameters for the landscape composition and configuration, for each category is formed the basis for further landscape metrics research and application for the integrated ecological and visual assessment of the landscape values. Contemporary conceptualization of the landscape is seen holistically, and the future research should be directed towards the development of integrated landscape assessment as a guideline for spatial development planning.

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