scholarly journals Distribution and conservation of three important bird groups of the Atlantic Forest in north-east Brazil

2016 ◽  
Vol 76 (4) ◽  
pp. 1004-1020 ◽  
Author(s):  
G. A. Pereira ◽  
H. F. P. Araújo ◽  
S. M. Azevedo-Júnior
Keyword(s):  
Atlantic Forest ◽  
Forest Cover ◽  
Interpolation Method ◽  
Bird Species ◽  
Forest Fragments ◽  
Fragmented Forest ◽  
North East ◽  
Vegetation Heterogeneity ◽  
Distance Weighting ◽  
Inverse Distance

Abstract The Pernambuco Endemism Center in north-east Brazil has the most fragmented forest cover and the largest number of threatened birds of the whole Atlantic Forest. We analyzed the distribution of three groups of bird species: forest-dependent, endemic and/or threatened using the interpolation method of Inverse Distance Weighting. We also checked the concentration of these birds in protected and unprotected areas, suggesting new sites that need to be protected. The richness concentration of forest-dependent, endemic and/or threatened birds in 123 sites were analysed. There was a greater concentration of the three groups in north Alagoas, south and north Pernambuco, and north and west Paraíba. The distribution of the three groups was almost regular in different vegetation types, although a lower concentration was found in the pioneer formation. There was a greater concentration of birds from all three groups between Pernambuco and Alagoas, and this must be due to the presence of more forest fragments with better structure and vegetation heterogeneity. The protected and unprotected areas hosted important records of endemic and/or threatened birds. We suggested some important places for implementation of new protected areas due to the larger concentrations of the target birds and because they are located within the boundaries of the Important Bird Areas.

scholarly journals A Multimethod Analysis for Average Annual Precipitation Mapping in the Khorasan Razavi Province (Northeastern Iran)

Atmosphere ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 592
Author(s):  
Mehdi Aalijahan ◽  
Azra Khosravichenar
Keyword(s):  
Regional Planning ◽  
Interpolation Method ◽  
Absolute Error ◽  
Rain Gauge ◽  
Annual Precipitation ◽  
Coefficient Of Determination ◽  
Distance Weighting ◽  
Average Annual Precipitation ◽  
Inverse Distance

The spatial distribution of precipitation is one of the most important climatic variables used in geographic and environmental studies. However, when there is a lack of full coverage of meteorological stations, precipitation estimations are necessary to interpolate precipitation for larger areas. The purpose of this research was to find the best interpolation method for precipitation mapping in the partly densely populated Khorasan Razavi province of northeastern Iran. To achieve this, we compared five methods by applying average precipitation data from 97 rain gauge stations in that province for a period of 20 years (1994–2014): Inverse Distance Weighting, Radial Basis Functions (Completely Regularized Spline, Spline with Tension, Multiquadric, Inverse Multiquadric, Thin Plate Spline), Kriging (Simple, Ordinary, Universal), Co-Kriging (Simple, Ordinary, Universal) with an auxiliary elevation parameter, and non-linear Regression. Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and the Coefficient of Determination (R2) were used to determine the best-performing method of precipitation interpolation. Our study shows that Ordinary Co-Kriging with an auxiliary elevation parameter was the best method for determining the distribution of annual precipitation for this region, showing the highest coefficient of determination of 0.46% between estimated and observed values. Therefore, the application of this method of precipitation mapping would form a mandatory base for regional planning and policy making in the arid to semi-arid Khorasan Razavi province during the future.

scholarly journals Atmospheric Deposition Effects on Agricultural Soil Acidification State — Key Study: Krupanj Municipality

2014 ◽  
Vol 40 (2) ◽  
pp. 137-148 ◽  
Author(s):  
Dragan Čakmak ◽  
Jelena Beloica ◽  
Veljko Perović ◽  
Ratko Kadović ◽  
Vesna Mrvić ◽  
...  
Keyword(s):  
Soil Acidification ◽  
Interpolation Method ◽  
Natural Processes ◽  
Target Loading ◽  
Distance Weighting ◽  
The Status ◽  
Inverse Distance ◽  
Sustainable Productivity

Abstract Acidification, as a form of soil degradation is a process that leads to permanent reduction in the quality of soil as the most important natural resource. The process of soil acidification, which in the first place implies a reduction in soil pH, can be caused by natural processes, but also considerably accelerated by the anthropogenic influence of excessive S and N emissions, uncontrolled deforestation, and intensive agricultural processes. Critical loads, i.e. the upper limit of harmful depositions (primarily of S and N) which will not cause damages to the ecosystem, were determined in Europe under the auspices of the Executive Committee of the CLRTAP in 1980. These values represent the basic indicators of ecosystem stability to the process of acidification. This paper defines the status of acidification for the period up to 2100 in relation to the long term critical and target loading of soil with S and N on the territory of Krupanj municipality by applying the VSD model. The Inverse Distance Weighting (IDW) geostatistic module was used as the interpolation method. Land management, particularly in areas susceptible to acidification, needs to be focused on well-balanced agriculture and use of crops/seedlings to achieve the optimum land use and sustainable productivity for the projected 100-year period.

scholarly journals Identificação de Fragmentos Florestais Potencias para a delimitação de Corredores Ecológicos na bacia hidrográfica do Rio Itapemirim, ES por meio técnicas de Sensoriamento Remoto

2020 ◽  
Vol 13 (2) ◽  
pp. 595
Author(s):  
Ivo Augusto Lopes Magalhaes ◽  
Carlos Roberto Lima Thiago ◽  
Alexandre Rosa Dos Santos
Keyword(s):  
River Basin ◽  
Atlantic Forest ◽  
Forest Cover ◽  
Landsat 8 ◽  
Forest Fragments ◽  
Landsat 8 Oli ◽  
Ecological Corridors ◽  
Spatial Attributes ◽  
Remote Sensing Techniques ◽  
High Degree

Os corredores ecológicos surgem como alternativa para mitigar os efeitos da fragmentação florestal permitindo entre eles o fluxo gênico de fauna e flora e a recolonização de áreas degradadas. Diante do exposto o presente estudo teve como objetivo, identificar para a bacia hidrográfica do rio Itapemirim, ES, por meio de metodologia desenvolvida em Sistemas de Informações Geográficas, a delimitação de corredores ecológicos que propiciem a interligação de fragmentos florestais, identificados mediante análise das métricas da paisagem como fragmentos florestais com atributos espaciais, que sugerem maior conservação. A metodologia consistiu no mapeamento dos fragmentos florestais por meio de técnicas de classificação supervisionada utilizando imagem do satélite LANDSAT 8 OLI, obtidas junto ao Instituto Nacional de Pesquisas Espaciais. Realizou-se o cálculo dos índices de ecologia, por meio do software ArcGis 10.2, com a extensão de domínio público V-LATER 2.0. Identificou-se 11.749 fragmentos florestais, que representam 22% de cobertura florestal na bacia hidrográfica. Os fragmentos pequenos (< 5 ha) foram encontrados em maior número, 8.394, seguidos pelos fragmentos de tamanho médio (5 a 50 ha), 2.995, e grandes (> 50 ha), 360. O número de fragmentos apresentaram relação inversa com sua contribuição na área. O bioma Mata Atlântica presente na bacia hidrográfica do rio Itapemirim, é representado, em sua maioria, por fragmentos florestais pequenos, menores que 5 ha, indicando um alto grau de fragmentação.  Identification of Forest Fragments Potential for the delimitation of Ecological Corridors in the Itapemirim, ES River Basin through Remote Sensing techniques A B S T R A C TEcological corridors emerge as an alternative to mitigate the effects of forest fragmentation, allowing for the gene flow of fauna and flora and the recolonization of degraded areas. Given the above, the present study aimed to identify, for the Itapemirim river basin, ES, through a methodology developed in Geographic Information Systems, the delimitation of ecological corridors that allow the interconnection of forest fragments, identified through the analysis of the metrics. landscape as forest fragments with spatial attributes, which suggest greater conservation. The methodology consisted of mapping forest fragments by supervised classification techniques using LANDSAT 8 OLI satellite imagery, obtained from the National Institute for Space Research. Ecology indices were calculated using the ArcGis 10.2 software, with the public domain extension V-LATER 2.0. A total of 11,749 forest fragments were identified, representing 22% of forest cover in the watershed. Smaller fragments (<5 ha) were found in larger numbers, 8,394, followed by medium sized fragments (5 to 50 ha), 2,995, and large fragments (> 50 ha), 360. The number of fragments was inversely related to their size. contribution in the area. The Atlantic Forest biome present in the Itapemirim river basin is mostly represented by small forest fragments, smaller than 5 ha, indicating a high degree of fragmentation.Keywords: Indexes of landscape ecology, Atlantic Forest, Geoprocessing.

Can green iguanas compensate for vanishing seed dispersers in the Atlantic forest fragments of north-east Brazil?

2014 ◽  
Vol 295 (3) ◽  
pp. 189-196 ◽  
Author(s):  
A. C. de A. Moura ◽  
L. Cavalcanti ◽  
E. Leite-Filho ◽  
D. O. Mesquita ◽  
K. R. McConkey
Keyword(s):  
Atlantic Forest ◽  
Forest Fragments ◽  
North East ◽  
Seed Dispersers ◽  
Green Iguanas

Dynamics of the bird communities in two fragments of Atlantic Forest in São Paulo, Brazil

Biologia ◽  
2017 ◽  
Vol 72 (8) ◽  
Author(s):  
Renata M. Vianna ◽  
Reginaldo J. Donatelli ◽  
Raphael Whitacker ◽  
Rafael M. Martins ◽  
Guilherme Sementili-Cardoso
Keyword(s):  
Atlantic Forest ◽  
Deciduous Forest ◽  
Diversity Index ◽  
Bird Species ◽  
Bird Communities ◽  
Forest Fragments ◽  
Point Counts ◽  
Wiener Diversity Index ◽  
Evenness Index

AbstractBirds can be used as bioindicators to evaluate the quality of a habitat. The objective of this study was to record richness and abundance of bird communities in two semi-deciduous forest fragments in Brazil (Olavo Egydio Setubal – OES; and Igurê – IGR). A subsequent analysis and comparison of the avifauna structure in each of the fragments were made including previous studies in the same areas. Point counts methodology was chosen for each fragment along 12 months. The results showed the occurrence of a total of 129 bird species for both areas. Although we registered 102 species for each site, Shannon-Wiener diversity index and Pielou’s evenness index, respectively, were slightly higher in OES (

scholarly journals An Adaptive Inverse-Distance Weighting Interpolation Method Considering Spatial Differentiation in 3D Geological Modeling

Geosciences ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 51
Author(s):  
Zhen Liu ◽  
Zhilong Zhang ◽  
Cuiying Zhou ◽  
Weihua Ming ◽  
Zichun Du
Keyword(s):  
Large Scale ◽  
Interpolation Method ◽  
Eastern China ◽  
Spatial Differentiation ◽  
Inverse Distance Weighting ◽  
Selection Strategy ◽  
Geological Modeling ◽  
3D Geological Modeling ◽  
Distance Weighting ◽  
Inverse Distance

The inverse-distance weighting interpolation is widely used in 3D geological modeling and directly affects the accuracy of models. With the development of “smart” or “intelligent” geology, classical inverse-distance weighting interpolation cannot meet the accuracy, reliability, and efficiency requirements of large-scale 3D geological models in these fields. Although the improved inverse-distance weighting interpolation can basically meet the requirements of accuracy and reliability, it cannot meet the requirements of efficiency at the same time. In response to these limitations, the adaptive inverse-distance weighting interpolation method based on geological attribute spatial differentiation and geological attribute feature adaptation was proposed. This method takes into account the spatial differentiation of geological attributes to improve the accuracy and considers the first-order neighborhood selection strategy to adaptively improve efficiency to meet above requirements of large-scale geological modeling. The proposed method was applied to an area in eastern China, and the results of the proposed method, compared to the results of classical inverse-distance weighting interpolation and improved inverse-distance weighting interpolation, suggest that the problems encountered above in large-scale geological modeling can be solved with the proposed method. The method can provide effective support for large-scale 3D geological modeling in smart geology.

scholarly journals The queen of the island: On the density and distribution of the Eurasian Collared-Dove (Streptopelia decaocto) in Cozumel

2021 ◽  
Author(s):  
Michelle García-Arroyo ◽  
Miguel A. Gómez-Martínez ◽  
Ian MacGregor-Fors
Keyword(s):  
Generalized Linear Model ◽  
Native Species ◽  
Bird Species ◽  
Urban Setting ◽  
Tree Cover ◽  
Human Beings ◽  
Distance Weighting ◽  
Nest Usurpation ◽  
The Relationship ◽  
Inverse Distance

AbstractThe Eurasian Collared-Dove (Streptopelia decaocto) is one of the most successful invasive bird species across the world. Worryingly, the invasive dove is a known reservoir of many diseases, some of which can potentially infect mammals (including human beings). Additionally, aggressive behaviors have been recorded toward other bird species resulting in territory and nest usurpation. Thus, the presence of this species poses an important risk for native species with similar habits, particularly in insular systems. Based on this, we carried out this study to assess the density and distribution of the Eurasian Collared-Dove in the island of Cozumel, as well as to evaluate the relationship between their abundance and the environmental characteristics of the places they inhabit. We estimated their distance-corrected densities in the island's largest town and performed an inverse distance weighting (IDW) interpolation to visualize their distribution. We performed a generalized linear model (GLM) to assess relationships between the environmental variables and the abundance of doves using a reduced model procedure. We obtained 137 records of doves present in 94% of all survey sites and an estimated density of 6.8 ind/ha, for a total of 6,670 doves in San Miguel de Cozumel. We did not find a spatial pattern of the dove's distribution on the urban setting, but we found an interaction between their abundances with tree cover and building height. Our findings, together with previous evidence of infection risk and aggressive behavior, make this species a threat to the native species communities of fragile ecosystems such as the island of Cozumel.

scholarly journals Investigating consequences of choosing IDW interpolation parameters in East Java using raster analyses

2021 ◽  
Vol 893 (1) ◽  
pp. 012059
Author(s):  
A Kurniawan ◽  
M Ryan ◽  
A M Rafi ◽  
B E A Haq ◽  
Sudirman ◽  
...  
Keyword(s):  
Interpolation Method ◽  
Observation Point ◽  
Control Parameters ◽  
R Language ◽  
Observation Network ◽  
Language Analysis ◽  
Distance Weighting ◽  
Quality Control Parameters ◽  
Point Data ◽  
Inverse Distance

Abstract An observation network will never be enough for creating good information about monthly rainfall. An interpolation method is always needed. For operational purposes, inverse distance weighting (IDW) method is used. In East Java, 197 observation points are involved, then IDW's parameters used are neighbor=12 and power=2. The consequences of this framework are investigated in this study. By reversing IDW's formula, two kinds of raster analyses are developed, distance to neighbor used (DNU) and coefficient from point (CFP). DNU shows how far points are used for doing interpolation in some area by kilometer (km) meanwhile CFP describes an area impacted by a point and value sent to another cell from an observation point. Data used in this study are longitude and latitude of 197 observation points. The scripts are written in R Language. Analysis based on local governmental region shows that Sumenep has very far DNU. In average, the first point used located more than 25 km, and its twelfth is 112 km (average other regions DNU1=7 km and DNU12=35 km). It means there should be a unique interpolation mechanism for Sumenep. CFP confirms that some points give impact in unnatural ways (impacted area=5741 km2). We propose DNU and CFP as alternative quality control parameters for investigating consequences in interpolating rainfall.

scholarly journals Prediction of electricity sales using neural based inverse distance weighting method

2018 ◽  
Vol 7 (2.2) ◽  
pp. 65 ◽  
Author(s):  
Bustani . ◽  
Sunu Pradana ◽  
Mulyanto . ◽  
Nurjanana .
Keyword(s):  
Interpolation Method ◽  
Back Propagation ◽  
Inverse Distance Weighting ◽  
Data Availability ◽  
Sampled Data ◽  
Weighting Method ◽  
Distance Weighting ◽  
Som Algorithm ◽  
Z Value ◽  
Inverse Distance

Prediction of electricity sales becomes important for State Electricity Company of Indonesia (PLN) in order to estimate the Statement of Profit and Loss in next year. To obtain good predictive results may require many variables and data availability. There are many available methods that do not require so many variables to get predicted results with a good approximation. The aim of this study was to predict electricity sales by using an interpolation method called IDW (Inverse Distance Weighting). Several data samples are mapped into Cartesian coordinates. The data samples used are power connected to the household (X-axis), to industry (Y-axis), and electricity sales (Z value). Firstly, the sampled data clustered by using SOM algorithm. The Z value in each cluster is predicted by using the IDW method. The prediction results of IDW method are then optimized using ANN-BP (Artificial Neural Network Back Propagation). The trained net structure is then used to predict the electricity sale in next year.  

scholarly journals The magnitude and extent of edge effects on vascular epiphytes across the Brazilian Atlantic Forest

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Edicson Parra-Sanchez ◽  
Cristina Banks-Leite
Keyword(s):  
Atlantic Forest ◽  
Edge Effects ◽  
Forest Cover ◽  
Species Abundance ◽  
Conservation Strategy ◽  
Suitable Habitat ◽  
Forest Fragments ◽  
Brazilian Atlantic Forest ◽  
Vascular Epiphytes ◽  
Epiphyte Communities

Abstract Edge effects are ubiquitous landscape processes influencing over 70% of forest cover worldwide. However, little is known about how edge effects influence the vertical stratification of communities in forest fragments. We combined a spatially implicit and a spatially explicit approach to quantify the magnitude and extent of edge effects on canopy and understorey epiphytic plants in the Brazilian Atlantic Forest. Within the human-modified landscape, species richness, species abundance and community composition remained practically unchanged along the interior-edge gradient, pointing to severe biotic homogenisation at all strata. This is because the extent of edge effects reached at least 500 m, potentially leaving just 0.24% of the studied landscape unaffected by edges. We extrapolated our findings to the entire Atlantic Forest and found that just 19.4% of the total existing area is likely unaffected by edge effects and provide suitable habitat conditions for forest-dependent epiphytes. Our results suggest that the resources provided by the current forest cover might be insufficient to support the future of epiphyte communities. Preserving large continuous ‘intact’ forests is probably the only effective conservation strategy for vascular epiphytes.

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