Analysis of the Habitat Quality Changes and Influencing Factors in Chuxiong Prefecture under the Background of Landscape Pattern Changes

2021 ◽  
Vol 10 (04) ◽  
pp. 655-665
Author(s):  
璐 阎
Keyword(s):  
Influencing Factors ◽  
Habitat Quality ◽  
Landscape Pattern ◽  
Quality Changes

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.

Impact of Chernobyl nuclear accident on regional landscape pattern and habitat quality

2021 ◽  
Vol 41 (4) ◽  
Author(s):  
张潇，陆林，张晓瑶，李冬花 ZHANG Xiao
Keyword(s):  
Habitat Quality ◽  
Landscape Pattern ◽  
Nuclear Accident ◽  
Chernobyl Nuclear Accident ◽  
Regional Landscape

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 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 Estimating potential range shift of some wild bees in response to climate change scenarios in northwestern regions of Iran

2021 ◽  
Vol 45 (1) ◽  
Author(s):  
Ehsan Rahimi ◽  
Shahindokht Barghjelveh ◽  
Pinliang Dong
Keyword(s):  
Climate Change ◽  
Habitat Quality ◽  
Species Distribution ◽  
Range Shift ◽  
Potential Range ◽  
Climate Change Scenarios ◽  
Natural Ecosystem ◽  
Quality Changes ◽  
Wild Bees ◽  
The Future

Abstract Background Climate change is occurring rapidly around the world, and is predicted to have a large impact on biodiversity. Various studies have shown that climate change can alter the geographical distribution of wild bees. As climate change affects the species distribution and causes range shift, the degree of range shift and the quality of the habitats are becoming more important for securing the species diversity. In addition, those pollinator insects are contributing not only to shaping the natural ecosystem but also to increased crop production. The distributional and habitat quality changes of wild bees are of utmost importance in the climate change era. This study aims to investigate the impact of climate change on distributional and habitat quality changes of five wild bees in northwestern regions of Iran under two representative concentration pathway scenarios (RCP 4.5 and RCP 8.5). We used species distribution models to predict the potential range shift of these species in the year 2070. Result The effects of climate change on different species are different, and the increase in temperature mainly expands the distribution ranges of wild bees, except for one species that is estimated to have a reduced potential range. Therefore, the increase in temperature would force wild bees to shift to higher latitudes. There was also significant uncertainty in the use of different models and the number of environmental layers employed in the modeling of habitat suitability. Conclusion The increase in temperature caused the expansion of species distribution and wider areas would be available to the studied species in the future. However, not all of this possible range may include high-quality habitats, and wild bees may limit their niche to suitable habitats. On the other hand, the movement of species to higher latitudes will cause a mismatch between farms and suitable areas for wild bees, and as a result, farmers will face a shortage of pollination from wild bees. We suggest that farmers in these areas be aware of the effects of climate change on agricultural production and consider the use of managed bees in the future.

scholarly journals Evolution and Prediction of Landscape Pattern and Habitat Quality Based on CA-Markov and InVEST Model in Hubei Section of Three Gorges Reservoir Area (TGRA)

2018 ◽  
Vol 10 (11) ◽  
pp. 3854 ◽  
Author(s):  
Lin Chu ◽  
Tiancheng Sun ◽  
Tianwei Wang ◽  
Zhaoxia Li ◽  
Chongfa Cai
Keyword(s):  
Habitat Quality ◽  
Landscape Pattern ◽  
Quality Index ◽  
Three Gorges Reservoir ◽  
Habitat Degradation ◽  
Three Gorges Reservoir Area ◽  
Three Gorges ◽  
Invest Model ◽  
Pattern Dynamics ◽  
The Impact

The spatial pattern of landscape has great influence on the biodiversity provided by ecosystem. Understanding the impact of landscape pattern dynamics on habitat quality is significant in regional biodiversity conservation, ensuring ecological security guarantee, and maintaining the ecological environmental sustainability. Here, combining CA-Markov and InVEST model, we investigated the evolution of landscape pattern and habitat quality, and presented an explanation for variability of biodiversity linked to landscape pattern in Hubei section of Three Gorges Reservoir Area (TGRA). The spatial-temporal evolution characteristic of landscape pattern from 1990 to 2010 were analyzed by Markov chain. Then, the spatial pattern of habitat quality and its variation in three phases were computed by InVEST model. The driving force for landscape variation was explored by using Logistic regression analysis. Next, the CA-Markov model was used to simulate the future landscape pattern in 2020. Finally, future habitat quality maps were obtained by InVEST model predicted landscape maps. The results concluded that, the overall landscape pattern has changed slightly from 1990 to 2010. Woodland, waters and construction land had the greatest variations in proportion among the landscape types. The area of woodland has been decreasing gradually below the average elevation of 140 m, and the area of waters and construction land increased sharply. Logistics regression results indicated that terrain and climate were the most influencing natural factors compared with human factors. The Kappa coefficient reached 0.92, indicating that CA-Markov model had a good performance in future landscape prediction by adding nighttime light data as restriction factor. The biodiversity has been declining over the past 20 years due to the habitat degradation and landscape pattern variation. Overall, the maximum values of habitat degradation index were 0.1188, 0.1194 and 0.1195 respectively, showing a continuously increasing trend from 1990 to 2010. Main urban areas of Yichang city and its surrounding areas has higher habitat degradation index. The average values of habitat quality index of the whole region were 0.8563, 0.8529 and 0.8515 respectively, showing a continuously decreasing trend. The lower habitat quality index mainly located in the urban land as well as the main and tributary banks of the Yangtze River. Under the business as usual scenario, habitat quality continued to maintain the variation trend of the previous decade, showing a reducing habitat quality index and an increasing area of artificial surface. Under the ecological protection scenario, the variation of habitat quality in this scenario represented reverse trend to the previous decade, exhibiting an increase of habitat quality index and an increasing area of woodland and grassland. Construction of Three Gorges Dam, impoundment of Three Gorges Reservoir (TGR), resettlement of Three Gorges Project and urbanization were the most explanatory driving forces for landscape variation and degradation of habitat quality. The research may be useful for understanding the impact of landscape pattern dynamics on biodiversity, and provide scientific basis for optimizing regional natural environment, as well as effective decision-making support to local government for landscape planning and biodiversity conservation.

scholarly journals Impacts of urbanization and landscape pattern on habitat quality using OLS and GWR models in Hangzhou, China

2020 ◽  
Vol 117 ◽  
pp. 106654 ◽  
Author(s):  
Congmou Zhu ◽  
Xiaoling Zhang ◽  
Mengmeng Zhou ◽  
Shan He ◽  
Muye Gan ◽  
...  
Keyword(s):  
Habitat Quality ◽  
Landscape Pattern

scholarly journals Analysis of Air Quality Changes and Influencing Factors in Changchun during the COVID-19 Pandemic in 2020

2021 ◽  
Vol 21 ◽  
pp. 210055
Author(s):  
Hanbo Gao ◽  
Ju Wang ◽  
Tongnan Li ◽  
Chunsheng Fang
Keyword(s):  
Air Quality ◽  
Influencing Factors ◽  
Quality Changes

scholarly journals Assessment and Estimation of the Spatial and Temporal Evolution of Landscape Patterns and Their Impact on Habitat Quality in Nanchang, China

Land ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1073
Author(s):  
Yanan Li ◽  
Linghua Duo ◽  
Ming Zhang ◽  
Zhenhua Wu ◽  
Yanjun Guan
Keyword(s):  
Land Use ◽  
Habitat Quality ◽  
Landscape Pattern ◽  
Prediction Models ◽  
Landscape Patterns ◽  
Assessment Model ◽  
Planning System ◽  
Distribution Data ◽  
Ecological Planning ◽  
The Impact

Assessing and predicting the evolution of habitat quality based on land use change under the process of urbanization is important for establishing a comprehensive ecological planning system and addressing the major challenges of global sustainable development. Here, two different prediction models were used to simulate the land use changes in 2025 based on the land use distribution data of Nanchang city in three periods and integrated into the habitat quality assessment model to specifically evaluate the trends and characteristics of future habitat quality changes, explore the impact of landscape pattern evolution on habitat, and analyze the differences and advantages of the two prediction models. The results show that the overall habitat quality in Nanchang declined significantly during the period 1995–2015. Habitat degradation near cities and in various watersheds is relatively significant. During the period 2015–2025, the landscape pattern and habitat quality of Nanchang will continue to maintain the trend of changes observed between 1995 and 2015, i.e., increasing construction land and decreasing habitat quality, with high pressure on ecological restoration. This study also identified that CA-Markov simulates the quantity of land use better, while FLUS simulates the spatial pattern of land use better. Overall, this study provides a reference for exploring the complex dynamic evolution mechanism of habitats.

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