scholarly journals Hydrosphere occupancy modeling (ψ) and Akaike (AIC) habitat model selection of urban amphibian in West Java landscape

2021 ◽  
Author(s):  
Adi Basukriadi ◽  
Erwin Nurdin ◽  
Andri Wibowo
Keyword(s):  
Water Body ◽  
Vegetation Cover ◽  
Riparian Vegetation ◽  
Habitat Model ◽  
Water Bodies ◽  
West Java ◽  
Amphibian Species ◽  
Polypedates Leucomystax ◽  
Species Occupancy ◽  
Fejervarya Limnocharis

AbstractAmphibians are animal that requires combinations of hydrosphere (riparian vegetation, water body) and vegetation (trees) microhabitats. In urban settings, those microhabitats are scarce and disappearing. One of areas that still have sufficient microhabitats to support amphibian populations is located in an 88.9 Ha urban forests of Universitas Indonesia Campus in West Java. Here, this paper aims to assess and model the several amphibian species occupancy (Ψ) with vegetation covers, riparian vegetation, and water bodies based on Akaike habitat selection (AIC) indices. The studied amphibian species include Bufo melanosticus, Hylarana nicobariensis, Fejervarya limnocharis, and Polypedates leucomystax. For modeling, 7 microhabitat models were developed and tested for amphibian species occupancy with covariates including vegetation cover, riparian vegetation, and water body microhabitats. The Principle Component Analysis (PCA) shows that the occupancies of amphibian were influenced mostly by the presences of water bodies followed by riparian vegetation, and vegetation covers. According to the values of Ψ and AIC, Polypedates leucomystax and Fejervarya limnocharis were species that have high occupancy in riparian vegetation microhabitats with Ψ values of −14.18 and −12.59. Likewise, Hylarana nicobariensis has an equal occupancy in vegetation, riparian vegetation, and water body microhabitats. While Bufo melanosticus shows high occupancy in vegetated microhabitats (Ψ = −14.18) rather than in riparian vegetation and water bodies (Ψ = −8.79). The combinations of riparian vegetation and water bodies show higher occupancy (Ψ = −8.00) rather than Ψ(vegetation cover+water body = −5.64) and Ψ(vegetation cover+ riparian vegetation = −4.36) combinations.

scholarly journals Short Communication: A note on the new record of the amphibian fauna in Pulau Tinggi, Malaysia

2020 ◽  
Vol 21 (6) ◽  
Author(s):  
Yin Hui Ng ◽  
Ngadi Ehwan ◽  
Badrul Munir Md-Zain ◽  
Md Zairi Zainal ◽  
MUHAMMAD ABU BAKAR ABDUL-LATIFF
Keyword(s):  
New Record ◽  
Short Communication ◽  
Pitfall Trap ◽  
Survey Method ◽  
Present Survey ◽  
Amphibian Species ◽  
Polypedates Leucomystax ◽  
Fejervarya Limnocharis

Abstract. Ng YH, Ngadi E, Md-Zain BM, Md-Zairi Z, Abdul-Latiff MAB. 2020. A note on the new record of the amphibian fauna in Pulau Tinggi, Malaysia. Biodiversitas 21: 2425-2429. A survey of amphibian species in Pulau Tinggi was conducted from February to October 2019. The study was carried out using the Visual Encounter Survey method and the drift-fenced pitfall trap method. Based on previously published literature and the present survey, an updated checklist of amphibians is presented. In total, nine species were recorded that comprise three previously recorded species (Limnonectes blythii, Polypedates leucomystax and Odorrana hosii), and six new recorded species (Limnonectes deinodon, Polypedates dischantus, Microhyla heymonsi, Fejervarya limnocharis, Ingerophrynus parvus, and Kaloula pulchra).

scholarly journals Machine-learning methods in the classification of water bodies

2016 ◽  
Vol 4 (2) ◽  
pp. 34-42 ◽  
Author(s):  
Marek Sołtysiak ◽  
Marcin Blachnik ◽  
Dominika Dąbrowska
Keyword(s):  
Machine Learning ◽  
Water Body ◽  
Urban Areas ◽  
Water Bodies ◽  
Learning Methods ◽  
Amphibian Species ◽  
Data Set ◽  
Machine Learning Methods ◽  
Nearest Neighbours

AbstractAmphibian species have been considered as useful ecological indicators. They are used as indicators of environmental contamination, ecosystem health and habitat quality., Amphibian species are sensitive to changes in the aquatic environment and therefore, may form the basis for the classification of water bodies. Water bodies in which there are a large number of amphibian species are especially valuable even if they are located in urban areas. The automation of the classification process allows for a faster evaluation of the presence of amphibian species in the water bodies. Three machine-learning methods (artificial neural networks, decision trees and the k-nearest neighbours algorithm) have been used to classify water bodies in Chorzów – one of 19 cities in the Upper Silesia Agglomeration. In this case, classification is a supervised data mining method consisting of several stages such as building the model, the testing phase and the prediction. Seven natural and anthropogenic features of water bodies (e.g. the type of water body, aquatic plants, the purpose of the water body (destination), position of the water body in relation to any possible buildings, condition of the water body, the degree of littering, the shore type and fishing activities) have been taken into account in the classification. The data set used in this study involved information about 71 different water bodies and 9 amphibian species living in them. The results showed that the best average classification accuracy was obtained with the multilayer perceptron neural network.

Development of Dialog System Model for Eutrophication Control between Discharging River Basin and Receiving Water Body – Case Study of Lake Sagami (Japan)

1989 ◽  
Vol 21 (12) ◽  
pp. 1821-1824
Author(s):  
M. Suzuki ◽  
K. Chihara ◽  
M. Okada ◽  
H. Kawashima ◽  
S. Hoshino
Keyword(s):  
Water Management ◽  
Water Quality ◽  
Expert System ◽  
River Basin ◽  
Water Body ◽  
Water Bodies ◽  
Quality Data ◽  
Pollution Load ◽  
Water Quality Data ◽  
Receiving Water

A computer program based on expert system software was developed and proposed as a prototype model for water management to control eutrophication problems in receiving water bodies (Suzuki etal., 1988). The system has several expert functions: 1. data input and estimation of pollution load generated and discharged in the river watershed; 2. estimation of pollution load run-off entering rivers; 3. estimation of water quality of receiving water bodies, such as lakes; and 4. assisting man-machine dialog operation. The program can be used with MS-DOS BASIC and assembler in a 16 bit personal computer. Five spread sheets are utilized in calculation and summation of the pollutant load, using multi-windows. Partial differential equations for an ecological model for simulation of self-purification in shallow rivers and simulation of seasonal variations of water quality in a lake were converted to computer programs and included in the expert system. The simulated results of water quality are shown on the monitor graphically. In this study, the expert system thus developed was used to estimate the present state of one typical polluted river basin. The river was the Katsura, which flows into Lake Sagami, a lake dammed for water supply. Data which had been actually measured were compared with the simulated water quality data, and good agreement was found. This type of expert system is expected to be useful for water management of a closed water body.

scholarly journals Bulk Drag Predictions of Riparian Arundo donax Stands through UAV-Acquired Multispectral Images

Water ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 1333
Author(s):  
Giuseppe Francesco Cesare Lama ◽  
Mariano Crimaldi ◽  
Vittorio Pasquino ◽  
Roberta Padulano ◽  
Giovanni Battista Chirico
Keyword(s):  
Riparian Vegetation ◽  
Vegetation Index ◽  
Arundo Donax ◽  
Water Bodies ◽  
Giant Reed ◽  
Multispectral Images ◽  
Drainage Channel ◽  
Area Index ◽  
Riparian Plants ◽  
The Impact

Estimating the main hydrodynamic features of real vegetated water bodies is crucial to assure a balance between their hydraulic conveyance and environmental quality. Riparian vegetation stands have a high impact on vegetated channels. The present work has the aim to integrate riparian vegetation’s reflectance indices and hydrodynamics of real vegetated water flows to assess the impact of riparian vegetation morphometry on bulk drag coefficients distribution along an abandoned vegetated drainage channel fully covered by 9–10 m high Arundo donax (commonly known as giant reed) stands, starting from flow average velocities measurements at 30 cross-sections identified along the channel. A map of riparian vegetation cover was obtained through digital processing of Unnamed Aerial Vehicle (UAV)-acquired multispectral images, which represent a fast way to observe riparian plants’ traits in hardly accessible areas such as vegetated water bodies in natural conditions. In this study, the portion of riparian plants effectively interacting with flow was expressed in terms of ground-based Leaf Area Index measurements (LAI), which easily related to UAV-based Normalized Difference Vegetation Index (NDVI). The comparative analysis between Arundo donax stands NDVI and LAI map enabled the analysis of the impact of UAV-acquired multispectral imagery on bulk drag predictions along the vegetated drainage channel.

scholarly journals Downscaling MODIS Surface Reflectance to Improve Water Body Extraction

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Xianghong Che ◽  
Min Feng ◽  
Hao Jiang ◽  
Jia Song ◽  
Bei Jia
Keyword(s):  
Surface Water ◽  
Water Body ◽  
Terrestrial Ecosystems ◽  
Water Area ◽  
Water Bodies ◽  
Tibet Plateau ◽  
Surface Reflectance ◽  
Discrimination Ability ◽  
Automated Method ◽  
Landsat 7

Inland surface water is essential to terrestrial ecosystems and human civilization. Accurate mapping of surface water dynamic is vital for both scientific research and policy-driven applications. MODIS provides twice observation per day, making it perfect for monitoring temporal water dynamic. Although MODIS provides two bands at 250 m resolution, accurately deriving water area always depends on observations from the spectral bands with 500 m resolution, which limits its discrimination ability over small lakes and rivers. The paper presents an automated method for downscaling the 500 m MODIS surface reflectance (SR) to 250 m to improve the spatial discrimination of water body extraction. The method has been tested at Co Ngoin and Co Bangkog in Qinghai-Tibet plateau. The downscaled SR and the derived water bodies were compared to SR and water body mapped from Landsat-7 ETM+ images were acquired on the same date. Consistency metrics were calculated to measure their agreement and disagreement. The comparisons indicated that the downscaled MODIS SR showed significant improvement over the original 500 m observations when compared with Landsat-7 ETM+ SR, and both commission and omission errors were reduced in the derived 250 m water bodies.

scholarly journals STUDY ON THE WATER BODY EXTRACTION USING GF-1 DATA BASED ON ADABOOST INTEGRATED LEARNING ALGORITHM

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 641-648
Author(s):  
J. Y. Sun ◽  
G. Z. Wang ◽  
G. J. He ◽  
D. C. Pu ◽  
W. Jiang ◽  
...  
Keyword(s):  
Surface Water ◽  
Water Body ◽  
Rapid Development ◽  
Kappa Coefficient ◽  
Water Bodies ◽  
Integrated Learning ◽  
Visual Interpretation ◽  
Adaboost Algorithm ◽  
Classification Time ◽  
Better Than

Abstract. Surface water system is an important part of global ecosystem, and the changes in surface water may lead to disasters, such as drought, waterlog, and water-borne diseases. The rapid development of remote sensing technology has supplied better strategies for water bodies extraction and further monitoring. In this study, AdaBoost and Random Forest (RF), two typical algorithms in integrated learning, were applied to extract water bodies in Chaozhou area (mainly located in Guangzhou Province, China) based on GF-1 data, and the Decision Tree (DT) was used for comparative tests to comprehensively evaluate the performance of classification algorithms listed above for surface water body extraction. The results showed that: (1) Compared with visual interpretation, AdaBoost performed better than RF in the extraction of several typical water bodies, such as rivers, lakes and ponds Moreover, the water extraction results of the strong classifiers using AdaBoost or RF were better than the weak basic classifiers. (2) For the quantitative accuracy statistics, the overall accuracy (96.5%) and kappa coefficient (93%) using AdaBoost exceeded those using RF (5.3% and 10.6%), respectively. The classification time of AdaBoost increased by 403 seconds and 918 seconds relative to RF and DT methods. However, in terms of visual interpretation, quantitative statistical accuracy and classification time, AdaBoost algorithm was more suitable for the water body extraction. (3) For the sample proportion comparison experiment of AdaBoost, four sampling proportions (0.1%, 0.2%, 1% and 2%) were chosen and 0.1% sampling proportion reached the optimum classification accuracy (93.9%) and kappa coefficient (87.8%).

scholarly journals Methods of GI modeling of biogenic substances removal to the Gulf of Finland from forest vegetation cover

2020 ◽  
Vol 26 (2) ◽  
pp. 137-150
Author(s):  
Alexey Osipov ◽  
Georgy Osipov ◽  
Vasily Kovyazin
Keyword(s):  
Vegetation Cover ◽  
Catchment Area ◽  
Water Area ◽  
Forest Vegetation ◽  
Natural Vegetation ◽  
Water Bodies ◽  
Gulf Of Finland ◽  
Economic Activities ◽  
Biogenic Substances ◽  
The Gulf Of Finland

Biogenic pollution of water bodies and their eutrophication is one of the most serious environmental problems of our time. One of the sources of water pollution with biogenic substances is forests, which belong to the background sources of biogenic load. Currently available methods for assessing the removal of nutrients from the forest vegetation cover do not provide the desired results, which causes an urgent need for their improvement. This article describes the method developed by the authors of geoinformation modeling of removal of biogenic substances from the forest vegetation cover to water bodies, taking into account the spatial distribution of vegetation in the catchment area, its species composition and absorption of biogenic substances during their migration. The Eastern part of the Gulf of Finland was adopted as the object of testing of the developed method. this is due to the fact that eutrophication processes are actively manifested within its water area. The volume of the background biogenic load on the Gulf of Finland, formed during the decomposition of the fall of the natural vegetation cover in the catchment area, was determined based on the specific removal of biogenic substances from plant communities and their absorption during migration “plant community — water object”. The total background biogenic load on the eastern part of the Gulf of Finland, formed as a result of decomposition of natural vegetation cover, was 170.21 t/year for the northern catchment for nitrogen, 12.14 t/year for phosphorus, and 207.31 t/year for the southern catchment for nitrogen , and 15.68 t/year for phosphorus. The data obtained do not contradict the results of other authors who study the background biogenic load on the Gulf of Finland. The method can be effectively used in the development of measures to reduce the nutrient load on water bodies and planning of economic activities in catchments.

scholarly journals The landscaping of urban agglomeration park systems

Vestnik MGSU ◽  
2020 ◽  
pp. 294-306
Author(s):  
Aleksandra V. Ostyakova ◽  
Ekaterina V Pluisnina
Keyword(s):  
Water Body ◽  
Practical Importance ◽  
Pond Water ◽  
Water Bodies ◽  
Small Rivers ◽  
Urban Water ◽  
Normative Documents ◽  
Sources Of Pollution ◽  
City Water ◽  
Surrounding Areas

Introduction. Studying water body ecological problems and ensuring the necessary level of sanitary maintenance and landscaping of the reservoirs with the surrounding areas are relevant due to the inadequate environmental condition of a large number of urban water bodies and small rivers within settlements. Materials and methods. The review of the available normative documents and the carried-out actions on the improvement of city water objects is given. Based on the visual study of the state of the pond banks at the Karbyshev Park at the settlement of Nakhabino, Moscow region, water quality indicators, sources of pollution of the pond, the article concluded on the unsatisfactory ecological and aesthetic condition of this urban pond. The objective of this paper is to analyze the existing negative environmental factors affectig the water body and to propose an option of the site landscaping and further safe usage. Results. A description of the Karbyshev Park territory is given. Also, negative factors influencing the pollution of the pond banks, and the quality of pond water are specified. A proposal contains a list of necessary types of activities on cleaning and improving the pond bowl and surrounding territory under the condition of preservation of its ecosystem. As a result of the integrated assessment of the pond ecological state, a model of the urban water body was created, and a variant of its ecological reconstruction was proposed. Conclusions. The study is of practical importance for accounting and elimination of environmental problems of urban water bodies of the Central European Russia and proposals of measures for their improvement and reclamation.

Riparian Vegetation Dynamic and River Stability on Intermittent Rivers: Impact of Water Transfer Project on Tropical Drylands

2021 ◽  
Author(s):  
Camilla Santos ◽  
Leonardo Dantas Martins ◽  
Kenia Sousa da Cruz ◽  
Jonas Otaviano Praça de Souza
Keyword(s):  
Vegetation Cover ◽  
Riparian Vegetation ◽  
Google Earth ◽  
Water Transfer ◽  
Lateral Stability ◽  
Hydrological Changes ◽  
Vertical Incision ◽  
Short Period ◽  
Geomorphic Units ◽  
The Impact

<p>Rivers on semiarid landscapes typically are characterised by sandy geomorphic units and riverbanks, a natural factor that enhances lateral mobility. Vegetation cover is a crucial factor on lateral instability due to its impact on riverbank and geomorphic units erosion resistance. Nevertheless, riparian vegetation on intermittent and ephemeral channels show growing patterns directly affect by the flow temporality, that controls the water availability. Extended dry intervals hinder the succession ecological on geomorphic units, like bars and islands, and riverbanks and retard the growing process. This work analysed the effects of hydrological changes, caused by one water transfer project, on the bio-geomorphological patterns on riverbanks of a main intermittent river of Brazilian Drylands. Flow data series was used to understand the hydrological pattern changes; Google Earth images and UAV surveys to analyse the vegetation and riverbank behaviour from 2008 to 2020.  Lastly, the identification of riverbank material resistance was based on sedimentology analysis.  The water transfer Project PISF (Projeto de Integração do São Francisco), operating since 2017 March, increase the average flow days from 137,5 to 260/300 days and decreasing the continuous dry period from 200 to 30/45 days. The impact on average annual discharge was slightest, whereas the average water transfer volume was 3m<sup>3</sup>/s. It is essential to highlight the short period of data posterior to the water transfer and the non-regulatiry of water volume transferred; what limits the temporal representativity of the results. There were different types, and level of impacts depending on the river reach characteristics. However, in general, the longer flow permanence increases riparian vegetation density, vertical incision, and lateral stability. Riparian vegetation cover increase, from 20% to 100% on the 9 reaches analysed, across the entire channel, including bedrock reaches, with riverbanks having some rock outcrops percentage. The main changes were on sand bed reaches, that used to have, before 2017, a dynamic braiding pattern, without a clear main incised channel and thalweg shifting. Afterwards, the flow permanence, due to the water transfer project, enabled herbaceous stratus temporal continuity, contributing to surface stability and progressive bushes/trees cover growing. Lastly, the increase in lateral stability, mainly on thalweg position, facilitates the vertical incision on the sand bed reaches, representing 85% of this channel. As a secondary impact, there were necessary, to the road network, built floodway crossings at several points, which changes the channel morphology and the (dis)connectivity process. It can generate distinct channel position and morphology changes causing water and sediment retention upstream and erosion downstream. Lastly, there were slight differences in textural characteristics on riverbanks and geomorphic units, with a rise in fine sediment on the most vegetated areas/units. This analysis reveals that a fast response of riparian vegetation and sand bed reaches morphology, affecting the bio-geomorphological process and all environmental dynamic. It points to fundamental elements which need monitoring after hydrological changes, especially to intermittent and ephemeral rivers.</p>

The effect of reed beds distributions on the Ecohydraulic dynamics of wetlands and lowlands: experimental analyses and simulations

2021 ◽  
Author(s):  
Giuseppe Francesco Cesare Lama
Keyword(s):  
Water Quality ◽  
Spatial Distribution ◽  
Riparian Vegetation ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Terrestrial Ecosystems ◽  
Water Bodies ◽  
Area Index ◽  
Reed Beds ◽  
Riparian Species

<p>The interplay between riparian vegetation and water flow in vegetated water bodies has a key role in the dynamic evolution of aquatic and terrestrial ecosystems in wetlands and lowlands. The present study analyzes the effects of the spatial distribution of reed (<em>Phragmites australis</em> (Cav.) Trin. ex Steud.) beds, an invasive riparian species extremely widespread in wetland and lowlands worldwide, on the main hydraulic and hydrodynamic properties of an abandoned vegetated reclamation channel located in Northern Tuscany, Italy. A field campaign was carried out to obtain Leaf Area Index (LAI) and Normalized Difference Vegetation Index (NDVI) of reed beds through both ground-based and Unmanned Aerial Vehicle (UAV) methodologies, and to correlate them to the channel’s flow dynamic and water quality main features. Then, Hydrodynamic simulations of the vegetated reclamation channel were performed and validated based on the experimental measurements of the hydraulic and vegetational parameters acquired in the field to build up a robust model to be employed also in future Ecohydraulic researches. The evidences of this study constitute useful insights in the quantitative analysis of the correlation between the spatial distribution of riparian vegetation stands in natural and manmade vegetated water bodies and their hydrodynamic and water quality main features.</p>

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