scholarly journals Spatial Distribution and Landscape Characteristics of Flores Hawk-Eagle (Nisaetus Floris) Habitat in Flores Island

2021 ◽  
Vol 11 (4) ◽  
pp. 542-549
Author(s):  
Syartinilia Syartinilia ◽  
Raja Mohd Kris Setiawan
Keyword(s):  
Land Cover ◽  
Principal Components ◽  
Habitat Characteristics ◽  
Conservation Strategies ◽  
Distribution Area ◽  
Limited Information ◽  
Habitat Distribution ◽  
Minimum Convex Polygon ◽  
Essential Information ◽  
Landscape Characteristics

Flores Hawk-Eagle (FHE, Nisaetus floris) is one of the endemic and keystone species that was rarely studied among other eagles. The study on the FHE is currently experiencing limited information for estimating their distribution area. Therefore, the FHE habitat distribution is required as the essential information for developing the strategies and conservation action. The objectives of this study were to identify the spatial habitat distribution and analyze the characteristics of the habitat. Minimum convex polygon (MCP) and kernel-density estimation (KDE) 95% was combined with the land cover map for delineating the patch habitat of FHE. Slope, elevation, and land cover were used as environmental variables. Principal Component Analysis (PCA) combine with GIS were used for characterizing the landscape habitat. The results showed that there were eight habitat patches with a total area of 1.132 km2. Six principal components were retained from PCA analysis which explained 71.96% of data variance. Habitat characteristics of FHE describe its requirement for nesting and hunting activities for principal components 1 to 4, while for flight activity related to principal components 5 and 6. Forests and savannahs become the main habitat preference for both nesting and hunting activities. Results of this study will be supported as baseline information for developing conservation strategies and action for FHE.

scholarly journals Spatial Distribution and Landscape Characteristics of Flores Hawk-Eagle (Nisaetus Floris) Habitat in Flores Island

2021 ◽  
Vol 11 (4) ◽  
pp. 543-549
Author(s):  
Syartinilia - ◽  
Raja Mohd Kris Setiawan
Keyword(s):  
Land Cover ◽  
Principal Components ◽  
Habitat Characteristics ◽  
Conservation Strategies ◽  
Distribution Area ◽  
Limited Information ◽  
Habitat Distribution ◽  
Minimum Convex Polygon ◽  
Essential Information ◽  
Landscape Characteristics

Flores Hawk-Eagle (FHE, Nisaetus floris) is one of the endemic and keystone species that was rarely studied among other eagles. The study on the FHE is currently experiencing limited information for estimating their distribution area. Therefore, the FHE habitat distribution is required as the essential information for developing the strategies and conservation action. The objectives of this study were to identify the spatial habitat distribution and analyze the characteristics of the habitat. Minimum convex polygon (MCP) and kernel-density estimation (KDE) 95% was combined with the land cover map for delineating the patch habitat of FHE. Slope, elevation, and land cover were used as environmental variables. Principal Component Analysis (PCA) combine with GIS were used for characterizing the landscape habitat. The results showed that there were eight habitat patches with a total area of 1.132 km2. Six principal components were retained from PCA analysis which explained 71.96% of data variance. Habitat characteristics of FHE describe its requirement for nesting and hunting activities for principal components 1 to 4, while for flight activity related to principal components 5 and 6. Forests and savannahs become the main habitat preference for both nesting and hunting activities. Results of this study will be supported as baseline information for developing conservation strategies and action for FHE.

scholarly journals Patterns, Trends and Drivers of Water Transparency in Sri Lanka Using Landsat 8 Observations and Google Earth Engine

2021 ◽  
Vol 13 (11) ◽  
pp. 2193
Author(s):  
Deepakrishna Somasundaram ◽  
Fangfang Zhang ◽  
Sisira Ediriweera ◽  
Shenglei Wang ◽  
Ziyao Yin ◽  
...  
Keyword(s):  
Sri Lanka ◽  
Human Activity ◽  
Google Earth ◽  
Water Transparency ◽  
Conservation Strategies ◽  
Landsat 8 ◽  
Essential Information ◽  
Annual Variations ◽  
North East ◽  
South West Monsoon

Addressing inland water transparency and driver effects to ensure the sustainability and provision of good quality water in Sri Lanka has been a timely prerequisite, especially under the Sustainable Development Goals 2030 agenda. Natural and anthropogenic changes lead to significant variations in water quality in the country. Therefore, an urgent need has emerged to understand the variability, spatiotemporal patterns, changing trends and impact of drivers on transparency, which are unclear to date. This study used all available Landsat 8 images from 2013 to 2020 and a quasi-analytical approach to assess the spatiotemporal Secchi disk depth (ZSD) variability of 550 reservoirs and its relationship with natural (precipitation, wind and temperature) and anthropogenic (human activity and population density) drivers. ZSD varied from 9.68 cm to 199.47 with an average of 64.71 cm and 93% of reservoirs had transparency below 100 cm. Overall, slightly increasing trends were shown in the annual mean ZSD. Notable intra-annual variations were also indicating the highest and lowest ZSD during the north-east monsoon and south-west monsoon, respectively. The highest ZSD was found in wet zone reservoirs, while dry zone showed the least. All of the drivers were significantly affecting the water transparency in the entire island. The combined impact of natural factors on ZSD changes was more significant (77.70%) than anthropogenic variables, whereas, specifically, human activity accounted for the highest variability across all climatic zones. The findings of this study provide the first comprehensive estimation of the ZSD of entire reservoirs and driver contribution and also provides essential information for future sustainable water management and conservation strategies.

scholarly journals Factors affecting the species richness and composition of bird species in a community managed forest of Nepal

2021 ◽  
Vol 13 (9) ◽  
pp. 19212-19222
Author(s):  
Bishow Poudel ◽  
Bijaya Neupane ◽  
Rajeev Joshi ◽  
Thakur Silwal ◽  
Nirjala Raut ◽  
...  
Keyword(s):  
Diversity Index ◽  
Bird Species ◽  
Habitat Characteristics ◽  
Lower Percentage ◽  
Bird Diversity ◽  
Limited Information ◽  
Managed Forest ◽  
Point Count ◽  
Community Forests ◽  
Wiener Diversity Index

There exists limited information on biodiversity including avifaunal diversity and habitat condition in community forests (CF) of Nepal; thus we aimed to fulfill such gaps in Tibrekot CF of Kaski district. We used the point count method for assessing bird diversity and laid out a circular plot size of radius 5-m within 15-m distance from each point count station for recording the biophysical habitat characteristics. Bird species’ diversity, richness and evenness were calculated using popular indexes and General Linear Model (GLM) was used to test the respective effect of various biophysical factors associated with the richness of bird species. In total, 166 (summer 122, winter 125) bird species were recorded in 46 sample plots. The Shannon-Wiener diversity index was calculated as 3.99 and 4.09, Margalef’s richness index as 16.84 and 17.53 and Pielou’s evenness index as 0.83 and 0.84 for summer and winter, respectively. The influencing factors for richness of bird species were season (χ21, 90= 112.21; P= 0.016) with higher richness in the summer season and low vegetation cover (χ21, 89= 113.88; P= 0.0064) with higher richness in lower percentage cover. Thus, community managed forest should be protected as it has a significant role in increasing bird diversity, which has potential for attracting avifaunal tourism for the benefit of the local communities.

scholarly journals MODEL FOR LAND COVER ESTIMATION USING UNSUPERVISED MACHINE LEARNING ON GOOGLE MAPS COLOR IMAGES

2018 ◽  
Vol XLII-5 ◽  
pp. 147-154
Author(s):  
R. S. Bhowmick ◽  
A. Kumar ◽  
G. D. Singh ◽  
S. Kumar
Keyword(s):  
Machine Learning ◽  
Land Cover ◽  
Remote Sensing Data ◽  
Pixel Classification ◽  
Unsupervised Machine Learning ◽  
Landscape Characteristics ◽  
Area Of Interest ◽  
Proposed Model ◽  
Agricultural Areas ◽  
Hyper Text Transfer Protocol

<p><strong>Abstract.</strong> Remote sensing data and satellite images are broadly used for land cover information. There are so many challenges to classify pixels on the basis of features and characteristics. Generally it is pixel classification that required the count of pixels for certain area of interest. In the proposed model, we are applying unsupervised machine learning to classify the content of the input images on the basis of pixels intensity. The study aims to compare classification accuracy of different landscape characteristics like water, forest, urban, agricultural areas, transport network and other classes adapted from CORINE (Coordination of information on the environment) nomenclature. To fulfil the aim of the model, accessing data from Google map using Google static API service which creates a map based on URL parameters sent through a standard HTTP (Hyper Text Transfer Protocol) request and returns the map as an image which can be display on any graphical user interface platform. The Google Static Maps API returns an image either in GIF, PNG or JPEG format in response to an HTTP request. To identify different land cover/use classes using k-means clustering. The model is dynamic in nature that describes the clustering as well formulate the area of the concerned class or clustered fields.</p>

scholarly journals Distribution update, conservation status and color in life of the rare Amazonian snake, Eutrachelophis papilio Zaher and Prudente 2019 (Serpentes: Xenodontini)

2020 ◽  
Vol 50 (3) ◽  
pp. 252-255
Author(s):  
Nathalie CITELI ◽  
Mariana DE-CARVALHO ◽  
Reuber BRANDÃO
Keyword(s):  
Convex Polygon ◽  
Conservation Status ◽  
Biological Data ◽  
Distribution Area ◽  
Minimum Convex Polygon ◽  
Human Footprint ◽  
Data Deficient ◽  
First Time ◽  
Polygon Method ◽  
Anthropic Pressure

ABSTRACT The rare Amazonian snake Eutrachelophis papilio is known from only five individuals, from four localities, belonging to its type-series, the more recent collected over 10 years ago. Here, we expand its distribution and describe its color in life for the first time. We also provide an estimate of its distribution area using the minimum convex polygon method and identify the values of anthropic pressure within its known distribution range with the Human Footprint Index. The new occurrence is located 291 km from the nearest known locality and its distribution is associated with pristine forests. Considering its rarity, and the absence of demographic and biological data, we suggest that the species should be classified as Data Deficient by IUCN criteria.

scholarly journals Empowering Criteria for Effective Adaptive Reuse of Heritage Buildings in Egypt

2021 ◽  
Vol 16 (6) ◽  
pp. 1061-1070
Author(s):  
Ghada A. Ragheb ◽  
Ingy M. Naguib
Keyword(s):  
Principal Components ◽  
Adaptive Reuse ◽  
Conservation Strategies ◽  
Value Management ◽  
Development Environment ◽  
Public Intervention ◽  
Intervention Adaptation ◽  
Heritage Buildings ◽  
Principal Factors ◽  
Sustainable Planning

This study identifies a list of effective criteria for the adaptive reuse of heritage buildings in Egypt. Adaptive reuse is one of the most important conservation strategies. The qualitative nature of this approach and its reliance on many diverse and often conflicting heritage factors and values has made decision-making complex, difficult, and fragmentarily supported in a way within the framework of sustainability. The research examines the factors influencing the adaptive reuse of buildings to determine effective and influencing criteria in Egypt for changing resistant perspectives. Criteria from previous studies were reviewed and evaluated for their potential use through a questionnaire tool targeting professional and non-professional, then analyzed by the SPSS statistics program. The results showed five empowering criteria for effective buildings adaptability in Egypt. Based on the analysis for principal components, identified criteria are grouped into seven principal components; heritage value management, integration with the demand of development, environment adaptivity, environmental performance and sustainability, public intervention, adaptation Plan, and financial and investment. The identified empowering criteria and principal factors are considered as a reference for stakeholders and governments to get a clearer vision of adaptive reuse to achieve better and more sustainable planning, and management.

scholarly journals Mapping Evapotranspiration, Vegetation and Precipitation Trends in the Catchment of the Shrinking Lake Poopó

2019 ◽  
Vol 12 (1) ◽  
pp. 73 ◽  
Author(s):  
Juan Torres-Batlló ◽  
Belén Martí-Cardona ◽  
Ramiro Pillco-Zolá
Keyword(s):  
Land Cover ◽  
Vegetation Index ◽  
Temporal Trends ◽  
Temporal Analysis ◽  
Mountain Range ◽  
Water Losses ◽  
Essential Information ◽  
General Decline ◽  
Increasing Trend ◽  
Spatio Temporal

Lake Poopó is located in the Andean Mountain Range Plateau or Altiplano. A general decline in the lake water level has been observed in the last two decades, coinciding roughly with an intensification of agriculture exploitation, such as quinoa crops. Several factors have been linked with the shrinkage of the lake, including climate change, increased irrigation, mining extraction and population growth. Being an endorheic catchment, evapotranspiration (ET) losses are expected to be the main water output mechanism and previous studies demonstrated ET increases using Earth observation (EO) data. In this study, we seek to build upon these earlier findings by analyzing an ET time series dataset of higher spatial and temporal resolution, in conjunction with land cover and precipitation data. More specifically, we performed a spatio-temporal analysis, focusing on wet and dry periods, that showed that ET changes occur primarily in the wet period, while the dry period is approximately stationary. An analysis of vegetation trends performed using 500 MODIS vegetation index products (NDVI) also showed an overall increasing trend during the wet period. Analysis of NDVI and ET across land cover types showed that only croplands had experienced an increase in NDVI and ET losses, while natural covers showed either constant or decreasing NDVI trends together with increases in ET. The larger increase in vegetation and ET losses over agricultural regions, strongly suggests that cropping practices exacerbated water losses in these areas. This quantification provides essential information for the sustainable planning of water resources and land uses in the catchment. Finally, we examined the spatio-temporal trends of the precipitation using the newly available Climate Hazards Group Infrared Precipitation with Stations (CHIRPS-v2) product, which we validated with onsite rainfall measurements. When integrated over the entire catchment, precipitation and ET showed an average increasing trend of 5.2 mm yr−1 and 4.3 mm yr−1, respectively. This result suggests that, despite the increased ET losses, the catchment-wide water storage should have been offset by the higher precipitation. However, this result is only applicable to the catchment-wide water balance, and the location of water may have been altered (e.g., by river abstractions or by the creation of impoundments) to the detriment of the Lake Poopó downstream.

scholarly journals Competing Vegetation Structure Indices for Estimating Spatial Constrains in Carabid Abundance Patterns in Chinese Grasslands Reveal Complex Scale and Habitat Patterns

Insects ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 249 ◽  
Author(s):  
Noelline Tsafack ◽  
Simone Fattorini ◽  
Camila Benavides Frias ◽  
Yingzhong Xie ◽  
Xinpu Wang ◽  
...  
Keyword(s):  
Land Cover ◽  
Vegetation Index ◽  
Spatial Scales ◽  
Landsat 8 ◽  
Remotely Sensed Data ◽  
Insect Communities ◽  
Landscape Characteristics ◽  
Species Abundances ◽  
Negative Impacts ◽  
Structure Indices

Carabid communities are influenced by landscape features. Chinese steppes are subject to increasing desertification processes that are changing land-cover characteristics with negative impacts on insect communities. Despite those warnings, how land-cover characteristics influence carabid communities in steppe ecosystems remains unknown. The aim of this study is to investigate how landscape characteristics drive carabid abundance in different steppes (desert, typical, and meadow steppes) at different spatial scales. Carabid abundances were estimated using pitfall traps. Various landscape indices were derived from Landsat 8 Operational Land Imager (OLI) images. Indices expressing moisture and productivity were, in general, those with the highest correlations. Different indices capture landscape aspects that influence carabid abundance at different scales, in which the patchiness of desert vegetation plays a major role. Carabid abundance correlations with landscape characteristics rely on the type of grassland, on the vegetation index, and on the scale considered. Proper scales and indices are steppe type-specific, highlighting the need of considering various scales and indices to explain species abundances from remotely sensed data.

What Can We Learn from Global and Regional Rankings of Countries?

2018 ◽  
Vol 9 (2) ◽  
pp. 119-139
Author(s):  
Huseyin Aytug ◽  
Siong Hook Law ◽  
Nirvikar Singh
Keyword(s):  
North America ◽  
South America ◽  
Principal Components ◽  
Principal Component ◽  
Business Environment ◽  
Gdp Per Capita ◽  
Essential Information ◽  
Country Characteristics ◽  
Country Rankings ◽  
Per Capita

We use principal component analysis (PCA) to extract the essential information contained in 10 different country rankings, measuring different country characteristics such as GDP per capita, human development, quality of governance, environmental quality and business environment. Globally, the first principal component accounts for about 82 per cent of the variation across countries, and the first three principal components account for over 92 per cent. The percentages are similar for regions such as Europe, North America and Asia, but lower for South America and Africa, but even in the last of these regions, the first three principal components account for 86 per cent of the variation. Excluding GDP per capita does not change our results appreciably. The analysis suggests that various different indices may add relatively little new information to more basic measures of development. Regional comparisons suggest that Asia’s economic structures, as implied by the rankings, may be closer to those of Europe and North America than South America and Africa. JEL Codes: C38, O1, O57

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