scholarly journals Monitoring and Landscape Dynamic Analysis of Alpine Wetland Area Based on Multiple Algorithms: A Case Study of Zoige Plateau

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7315
Author(s):  
Wenlong Li ◽  
Pengfei Xue ◽  
Chenli Liu ◽  
Hepiao Yan ◽  
Gaofeng Zhu ◽  
...  
Keyword(s):  
Landscape Pattern ◽  
Landscape Patterns ◽  
Tibet Plateau ◽  
Support Vector ◽  
Wetland Ecosystem ◽  
Wetland Area ◽  
Alpine Wetland ◽  
Grey Correlation ◽  
Correlation Degree ◽  
Zoige Wetland

As an important part of the wetland ecosystem, alpine wetland is not only one of the most important ecological water conservation areas in the Qinghai–Tibet Plateau region, but is also an effective regulator of the local climate. In this study, using three machine learning algorithms to extract wetland, we employ the landscape ecological index to quantitatively analyze the evolution of landscape patterns and grey correlation to analyze the driving factors of Zoige wetland landscape pattern change from 1995 to 2020. The following results were obtained. (1) The random forest algorithm (RF) performs best when dealing with high-dimensional data, and the accuracy of the decision tree algorithm (DT) is better. The performance of the RF and DT is better than that of the support vector machine algorithm. (2) The alpine wetland in the study area was degraded from 1995 to 2015, whereas wetland area began to increase after 2015. (3) The results of landscape analysis show the decrease in wetland area from 1995 to 2005 was mainly due to the fragmentation of larger patches into many small patches and loss of the original small patches, while the 2005 to 2015 decrease was caused by the loss of many middle patches and the decrease in large patches from the edge to the middle. The 2015 to 2020 increase is due to an increase in the number of smaller patches and recovery of original wetland area. (4) The grey correlation degree further shows that precipitation and evaporation are the main factors leading to the change in the landscape pattern of Zoige alpine wetland. The results are of great significance to the long-term monitoring of the Zoige wetland ecosystem.

scholarly journals Impacts of Landscape Patterns on Ecosystem Services Value: A Multiscale Buffer Gradient Analysis Approach

2021 ◽  
Vol 13 (13) ◽  
pp. 2551
Author(s):  
Wanxu Chen ◽  
Jie Zeng ◽  
Yumei Chu ◽  
Jiale Liang
Keyword(s):  
Sustainable Development ◽  
Ecosystem Services ◽  
Landscape Pattern ◽  
Gradient Analysis ◽  
Buffer Zone ◽  
Landscape Patterns ◽  
Analysis Approach ◽  
Landscape Pattern Metrics ◽  
Pattern Metrics ◽  
Ecosystem Services Value

In recent decades, substantial changes have occurred in the spatial structure and form of landscapes in metropolises; these have greatly impacted ecosystem provision capacities. Clarifying the impact mechanism of landscape patterns on ecosystem services can provide insights into regional ecological conservation and sustainable development measures. Although previous studies have explored the impacts of landscape patterns on ecosystem services at multiple scales, few studies have been conducted using the buffer gradient analysis approach. Using land-use/cover change data, this study measured the evolution of spatiotemporal features of landscape patterns and ecosystem services value (ESV) with 1, 2, and 3 km buffer-zone scales in Wuhan, China. Econometric models were then used to analyze the impacts of landscape patterns on ecosystem services at different buffer-zone scales. The results demonstrated that rapid urbanization in Wuhan has led to significant changes in landscape patterns, and the landscape pattern metrics exhibited significant spatial heterogeneity. The ESV in Wuhan exhibited a steady decline during the study period. Hydrological regulations and waste treatment functions contributed to the largest proportion of ESV, and raw material production functions contributed to the lowest proportion. Landscape pattern metrics exerted a significant influence on ESV; however, this influence varied greatly. The results of this study provide a new understanding of the influence mechanism of landscape patterns on ecosystem services at 1, 2, and 3 km buffer-zone scales. These findings are critical for facilitating landscape planning and regional sustainable development.

scholarly journals PUSAT KONSERVASI EKOSISTEM LAHAN BASAH DENGAN DENGAN KONSEP EKOWISATA DI DESA BANARAN, KULON PROGO, DAERAH ISTIMEWA YOGYAKARTA

Arsitektura ◽  
2017 ◽  
Vol 14 (2) ◽  
Author(s):  
Riska Isnaeni ◽  
Ana Hardiana ◽  
Mohamad Muqoffa
Keyword(s):  
Low Impact Development ◽  
Vital Role ◽  
Wetland Ecosystem ◽  
Surrounding Area ◽  
Wetland Area ◽  
Wetland Habitat ◽  
Water Ecosystem ◽  
Sensitivity Level ◽  
Site Planning

<p><em>Wetland have vital role to keep the balance between land and water ecosystem which is very important to the plant and wildlife. The design of Wetland Conservation Centre in Kulon Progo Regency is motivated by some issues, those are the importance to increase Indonesian’s knowledge of wetland ecosystem, the opportunities to develop wetland tourism  in Banaran Village, and the urgency to restore and conserve the wetland ecosystem in Trisik Beach area. The purpose of this design is getting a design of area and building which can be functioned as a conservation activities, education and tourism space that able to contribute in enhancing the quality of existing wetland habitat in Banaran village, Kulon Progo Regency, and also act as a space that can facilitate community and local people conservation related activities with the implementation of ecotourism concept. The design problem is how to implement ecotourism concept in site planning and also space programming of Wetland Centre, so that it can contribute in the enhancement of ecological quality of the wetland habitat even also to the surrounding area. The method used is the method of designing architecture based on ecotourism concept. The results obtained are the design of visitor centre building and the landscape design of the wetland area which applied the ecotourism concept in the design process, i.e. </em><em>site zonnification based on site’s sensitivity level, the use of signage and circullation path which is classified into three type of path so that it can minimize the disturbance to the site, </em><em>application of local and nature material, such as bricks, coconut timber, etc in building interior and exterior, management of greywater and drainage based on Low Impact Development System, </em><em>and the application of solar panel in landscpae area which is</em> <em>friendly to wetland habitat and wildlife that live in it.</em></p><p><strong><em>Keywords</em></strong><em>: </em><em>Architecture, Conservation, Ecosystem, Ecotourism, Wetland, Wildlife.</em><em></em></p>

scholarly journals Response of Variation of Water and Sediment to Landscape Pattern in the Dapoling Watershed

2022 ◽  
Vol 14 (2) ◽  
pp. 678
Author(s):  
Chong Wei ◽  
Zhiqiang Zhang ◽  
Zhiguo Wang ◽  
Lianhai Cao ◽  
Yichang Wei ◽  
...  
Keyword(s):  
Landscape Pattern ◽  
Sediment Yield ◽  
Landscape Heterogeneity ◽  
Swat Model ◽  
Landscape Patterns ◽  
Land Resource ◽  
Low Carbon ◽  
Water And Sediment ◽  
The Relationship ◽  
Runoff And Sediment Yield

The relationship between water-sediment processes and landscape pattern changes has currently become a research hotspot in low-carbon water and land resource optimization research. The SWAT-VRR model is a distributed hydrological model which better shows the effect of land use landscape change on hydrological processes in the watershed. In this paper, the hydrological models of the Dapoling watershed were built, the runoff and sediment yield from 2006 to 2011 were simulated, and the relationship between landscape patterns and water-sediment yield was analyzed. The results show that the SWAT-VRR model is more accurate and reasonable in describing runoff and sediment yield than the SWAT model. The sub-basins whose soil erosion is relatively light are mostly concentrated in the middle reaches with a slope mainly between 0–5°. The NP, PD, ED, SPIIT, SHEI, and SHDI of the watershed increased slightly, and the COHESION, AI, CONTAG, and LPI showed a certain decrease. The landscape pattern is further fragmented, with the degree of landscape heterogeneity increasing and the connection reducing. The runoff, sediment yield and surface runoff are all extremely significantly negatively correlated with forest, which implies that for more complicated patch shapes of forest which have longer boundaries connecting with the patches of other landscape types, the water and sediment processes are regulated more effectively. Therefore, it can be more productive to carry out research on the optimization of water and soil resources under the constraint of carbon emission based on the SWAT-VRR model.

scholarly journals On the Scale Effect of Relationship Identification between Land Surface Temperature and 3D Landscape Pattern: The Application of Random Forest

2022 ◽  
Vol 14 (2) ◽  
pp. 279
Author(s):  
Qiong Wu ◽  
Zhaoyi Li ◽  
Changbao Yang ◽  
Hongqing Li ◽  
Liwei Gong ◽  
...  
Keyword(s):  
Random Forest ◽  
Linear Regression ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Landscape Metrics ◽  
Landscape Pattern ◽  
Land Surface ◽  
Landscape Patterns ◽  
Impervious Surfaces ◽  
Multi Scale

Urbanization processes greatly change urban landscape patterns and the urban thermal environment. Significant multi-scale correlation exists between the land surface temperature (LST) and landscape pattern. Compared with traditional linear regression methods, the regression model based on random forest has the advantages of higher accuracy and better learning ability, and can remove the linear correlation between regression features. Taking Beijing’s metropolitan area as an example, this paper conducted multi-scale relationship analysis between 3D landscape patterns and LST using Pearson Correlation Coefficient (PCC), Multiple Linear Regression and Random Forest Regression (RFR). The results indicated that LST was relatively high in the central area of Beijing, and decreased from the center to the surrounding areas. The interpretation effect of 3D landscape metrics on LST was more obvious than that of the 2D landscape metrics, and 3D landscape diversity and evenness played more important roles than the other metrics in the change of LST. The multi-scale relationship between LST and the landscape pattern was discovered in the fourth ring road of Beijing, the effect of the extent of change on the landscape pattern is greater than that of the grain size change, and the interpretation effect and correlation of landscape metrics on LST increase with the increase in the rectangle size. Impervious surfaces significantly increased the LST, while the impervious surfaces located at low building areas were more likely to increase LST than those located at tall building areas. It seems that increasing the distance between buildings to improve the rate of energy exchange between urban and rural areas can effectively decrease LST. Vegetation and water can effectively reduce LST, but large, clustered and irregularly shaped patches have a better effect on land surface cooling than small and discrete patches. The Coefficients of Rectangle Variation (CORV) power function fitting results of landscape metrics showed that the optimal rectangle size for studying the relationship between the 3D landscape pattern and LST is about 700 m. Our study is useful for future urban planning and provides references to mitigate the daytime urban heat island (UHI) effect.

scholarly journals Modeling Statistical Downscaling for Prediction Precipitation Dry Season in Bireuen District Province Aceh

2019 ◽  
Vol 2 (2) ◽  
pp. 74
Author(s):  
Juniana Husna ◽  
Sanusi Sanusi
Keyword(s):  
Statistical Downscaling ◽  
Time Series Data ◽  
Rainfall Variability ◽  
Series Data ◽  
Polynomial Kernel ◽  
Support Vector ◽  
Monsoon Circulation ◽  
Rainfall Forecasting ◽  
Local Climate ◽  
Correlation Degree

The Asian-Australian monsoon circulation specifically causes the Indonesian region to go through climate changebility that impacts on rainfall variability in different Indonesia’s zone. Local climate conditions such as rainfall data are commonly simulated using GCM time series data. This study tries to model the statistical downscaling of GCM in the form of 7x7 matrix using Support Vector Regression (SVR) for rainfall forecasting during drought in Bireuen Regency, Aceh. The output yields optimal result using certain parameter i.e. C = 0.5, γ = 0.8, d = 1, and ↋= 0.01. The duration of computation during training and testing are ± 45 seconds for linear kernels and ± 2 minutes for polynomials. The correlation degree and RMSE values of GCM and the actually observed data at Gandapura wheather station are 0.672 and 21.106. The RSME value obtained in that region is the lowest compared to the Juli station which is equal to 31,428. However, the Juli station has the highest correlation value that is 0.677. On the other hand, the polynomial kernel has a correlation degree and RMSE value equal to 0.577 and 29,895 respectively. To summary, the best GCM using SVR kernel is the one at Gandapura weather station in consideration of having the lowest RMSE value with a high correlation degree.

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