scholarly journals Japanese Honeybees (Apis Cerana Japonica Radoszkowski, 1877) May Be Resilient to Land Use Change

2021 ◽  
Author(s):  
Philip Donkersley ◽  
Lucy Covell ◽  
Takahiro Ota
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Human Population ◽  
Agricultural Intensification ◽  
Apis Cerana ◽  
Remote Sensing Data ◽  
Flowering Phenology ◽  
Urban Land Use ◽  
Urban Gradient ◽  
Apis Cerana Japonica

Pollinators are being threatened globally by urbanisation and agricultural intensification, driv-en by a growing human population. Understanding these impacts on landscapes and pollinators is critical to ensuring a robust pollination system. Remote sensing data on land use attributes have previously linked honeybee nutrition to land use in the Western Honeybee (Apis mellifera L.). Here, we instead focus on the less commonly studied Apis cerana japonica – the Japanese Honeybee. Our study presents preliminary data comparing forage (honey and pollen) with land use across a rural-urban gradient from 22 sites in Kyushu, southern Japan. Honey samples were collected from hives between June 2018 and August 2019. Pollen were collected and biotyped from hives in urban and rural locations (n = 4). Previous studies of honey show substantial vari-ation in monosaccharide content. Our analysis of A. cerana japonica honey found very little varia-tion in glucose and fructose (which accounted for 97% of monosaccharides), despite substantial differences in surrounding forage composition. As expected, we observed temporal variation in pollen foraged by A. cerana japonica, likely dependent on flowering phenology. These prelimi-nary results suggest that the forage and nutrition of A. cerana japonica may not be negatively af-fected by urban land use. This highlights the need for further comparative studies between A. cerana japonica and A. mellifera as it could suggest a resilience in pollinators foraging in their na-tive range.

scholarly journals Japanese Honeybees (Apis cerana japonica Radoszkowski, 1877) May Be Resilient to Land Use Change

Insects ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 685
Author(s):  
Philip Donkersley ◽  
Lucy Covell ◽  
Takahiro Ota
Keyword(s):  
Land Use ◽  
Agricultural Intensification ◽  
Apis Cerana ◽  
Remote Sensing Data ◽  
Flowering Phenology ◽  
Urban Land Use ◽  
Urban Gradient ◽  
Native Range ◽  
Substantial Variation ◽  
Apis Cerana Japonica

Pollinators are being threatened globally by urbanisation and agricultural intensification, driven by a growing human population. Understanding these impacts on landscapes and pollinators is critical to ensuring a robust pollination system. Remote sensing data on land use attributes have previously linked honeybee nutrition to land use in the Western Honeybee (Apis mellifera L.). Here, we instead focus on the less commonly studied Apis cerana japonica—the Japanese Honeybee. Our study presents preliminary data comparing forage (honey and pollen) with land use across a rural-urban gradient from 22 sites in Kyushu, southern Japan. Honey samples were collected from hives between June 2018 and August 2019. Pollen were collected and biotyped from hives in urban and rural locations (n = 4). Previous studies of honey show substantial variation in monosaccharide content. Our analysis of A. cerana japonica honey found very little variation in glucose and fructose (which accounted for 97% of monosaccharides), despite substantial differences in surrounding forage composition. As expected, we observed temporal variation in pollen foraged by A. cerana japonica, likely dependent on flowering phenology. These preliminary results suggest that the forage and nutrition of A. cerana japonica may not be negatively affected by urban land use. This highlights the need for further comparative studies between A. cerana japonica and A. mellifera as it could suggest a resilience in pollinators foraging in their native range.

scholarly journals Japanese Honeybees (Apis Cerana Japonica Radoszkowski, 1877) May Be Resilient to Land Use Change

2021 ◽  
Author(s):  
Philip Donkersley ◽  
Lucy Covell ◽  
Takahiro Ota
Keyword(s):  
Land Use ◽  
Green Infrastructure ◽  
Landscape Change ◽  
Apis Cerana ◽  
Remote Sensing Data ◽  
Flowering Phenology ◽  
Urban Land Use ◽  
Ecological Stability ◽  
Negative Effects ◽  
Apis Cerana Japonica

Pollinators are being threatened globally by urbanisation and agricultural intensification, driven by a growing human population. Honeybees are part of a wide suite of insect pollinators with a global distribution. Understanding the impacts of landscape change and other influencing factors on pollinators is critical to ensuring food security and ecological stability. Remote sensing data on land use attributes have previously linked honeybee nutrition to land use in the Western Honeybee (Apis mellifera L.). Our study presents preliminary data comparing forage (honey and pollen) with land use across a rural-urban gradient from 22 sites in Kyushu, Southern Japan. Honey samples were collected from managed hives between June 2018 and August 2019. Pollen were collected and biotyped from hives in urban and rural locations (n = 5). Previous studies of western honeybee honey shows substantial variation in monosaccharide content. Our analysis of A. cerana japonica honey found very little variation in glucose and fructose (which accounted for 97% of monosaccharides), despite substantial differences in surrounding forage composition. As expected, we observed temporal variation in pollen foraged by A. cerana japonica, likely dependent on flowering phenology. These results suggest that A. cerana japonica may be resilient previously observed negative effects of urban land use on pollinator nutrition. We suggest this effect could be due to differences in urban green infrastructure in Japan, or due to an adaptation by A. cerana japonica to their surroundings, meaning landscape change may not be as detrimental to A. cerana japonica as has been observed elsewhere in the world.

Urban land use mapping and zoning of Bombay Metropolitan Region using remote sensing data

1989 ◽  
Vol 17 (3) ◽  
pp. 11-22 ◽  
Author(s):  
S. K. Pathan ◽  
P. Jothimahi ◽  
D. Sampat Kumar ◽  
S. P. Pendharkar
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Remote Sensing Data ◽  
Urban Land ◽  
Urban Land Use ◽  
Metropolitan Region ◽  
Sensing Data

scholarly journals FORMATION OF LAND USE RESTRICTIONS BY GEOINFORMATION ANALYSIS METHODS IN SPATIAL PLANNING (ON THE EXAMPLE OF TERRITORY AROUND THE AIRFIELDS)

2021 ◽  
pp. 44-53
Author(s):  
Leonid Novakovskyi ◽  
◽  
Andrii Martyn ◽  
Iryna Novakovska ◽  
Igor Slavin ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Remote Sensing Data ◽  
Urban Land Use ◽  
High Tech ◽  
Infrastructure Development ◽  
Territorial Development ◽  
Decision Making Processes ◽  
Planning Decision ◽  
Gis Methods

The purpose of the publication is revealing the features of the geospatial analysis implementation and special software for effective territorial development on the example of the interaction of aviation land use with adjacent territories and global urbanization centers. The necessity of using remote sensing data together with GIS technologies for creation of models and visualization of future synergetic connections of airport infrastructure development and urban land use have been substantiated. Ways of improvement the implementation of planning decision-making processes and regional development under the condition of using high-tech remote sensing-GIS methods as a basis for increasing the level of economically efficient, environmentally balanced, socially orderly land use have been proposed. Changes and additions are offered according to normative-legal acts of regulation of the land use system of aviation transport.

scholarly journals URBAN SPATIAL ECOLOGICAL PERFORMANCE BASED ON THE DATA OF REMOTE SENSING OF GUYUAN

2018 ◽  
Vol XLII-3 ◽  
pp. 1489-1492
Author(s):  
X.-J. Ren ◽  
X.-J. Chen ◽  
Q. Ma
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
High Resolution ◽  
Urban Development ◽  
Remote Sensing Data ◽  
Urban Land ◽  
Urban Land Use ◽  
Dynamic Monitoring ◽  
Ecological Performance ◽  
Stage Characteristic

The evolution analysis of urban landuse and spatial ecological performance are necessary and useful to recognizing the stage of urban development and revealing the regularity and connotation of urban spatial expansion. Moreover, it lies in the core that should be exmined in the urban sustainable development. In this paper, detailed information has been acquired from the high-resolution satellite imageries of Guyuan, China case study. With the support of GIS, the land-use mapping information and the land cover changes are analyzed, and the process of urban spatial ecological performance evolution by the hierarchical methodology is explored. Results demonstrate that in the past 11 years, the urban spatial ecological performance show an improved process with the dramatic landcover change in Guyuan. Firstly, the landuse structure of Guyuan changes significantly and shows an obvious stage characteristic. Secondly, the urban ecological performance of Guyuan continues to be optimized over the 11 years. Thirdly, the findings suggest that a dynamic monitoring mechanism of urban land use based on high-resolution remote sensing data should be established in urban development, and the rational development of urban land use should be guided by the spatial ecological performance as the basic value orientation.

scholarly journals LAND USE CLASSIFICATION FROM COMBINED USE OF REMOTE SENSING AND SOCIAL SENSING DATA

2018 ◽  
Vol XLII-4 ◽  
pp. 33-39 ◽  
Author(s):  
A. S. Anugraha ◽  
H.-J. Chu
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Human Behavior ◽  
Remote Sensing Data ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Use Classification ◽  
Social Sensing ◽  
Sensing Data ◽  
The City

<p><strong>Abstract.</strong> Large amounts of data can be sensed and analyzed to discover patterns of human behavior in cities for the benefit of urban authorities and citizens, especially in the areas of traffic forecasting, urban planning, and social science. In New York, USA, social sensing, remote sensing, and urban land use information support the discovery of patterns of human behavior. This research uses two types of openly accessible data, namely, social sensing data and remote sensing data. Bike and taxi data are examples of social sensing data, whereas sentinel remote sensed imagery is an example of remote sensing data. This research aims to sense and analyze the patterns of human behavior and to classify land use from the combination of remote sensing data and social sensing data. A decision tree is used for land use classification. Bike and taxi density maps are generated to show the locations of people around the city during the two peak times. On the basis of a geographic information system, the maps also reflect the residential and office areas in the city. The overall accuracy of land use classification after the consideration of social sensing data is 85.3%. The accuracy assessment shows that the combination of remote sensing data and social sensing data facilitates accurate urban land use classification.</p>

scholarly journals Sensoriamento Remoto e Estudos de Clima Urbano

2021 ◽  
Vol 25 (2) ◽  
pp. 195-199
Author(s):  
Mariane Batista de Lima Moraes Brandão Campos ◽  
Victor Hugo de Morais Danelichen
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Air Temperature ◽  
Urban Climate ◽  
Remote Sensing Data ◽  
Urban Land Use ◽  
Air Humidity ◽  
Land Use Patterns ◽  
Sparse Vegetation ◽  
Use Patterns

Em regiões onde a rede meteorológica não apresenta uma cobertura satisfatória o uso do sensoriamento remoto se apresenta como uma técnica eficaz para estudo ambiental, possibilitando examinar a métrica dos padrões de uso do solo, bem como análises espaciais e temporais do clima nas cidades. Dessa forma, este trabalho busca analisar a produção científica sobre as técnicas de predição de temperatura e umidade do ar a partir de dados de sensoriamento remoto. Foi realizada uma análise bibliográfica e documental em consultas à base de pesquisa da Scopus (Elseivier) com a seleção final de 15 artigos que possuem relação direta com o conteúdo da pesquisa e enfatizam o estudo de clima urbano pelos padrões de uso do solo urbano, analisando-se dados obtidos por meio de sensores orbitais de satélites como os da série Landsat. O resultado da pesquisa aponta para o uso da vegetação como importante recurso de mitigação dos efeitos negativos do clima na cidade. Modelos matemáticos estão sendo aprimorados para obtenção de temperatura do ar com base em dados de temperatura de superfície, uma vez que ambas variáveis possuem uma forte correlação. Os índices espectrais NDMI e NDWI são úteis na verificação de dados sobre umidade do ar, porém pouco consistentes em locais de vegetação nula ou esparsa. Identificou-se o sensoriamento remoto como ferramenta promissora inclusive na análise de mesoclimas e microclimas urbanos, sendo importante a continuidade de pesquisas e estudos que identifiquem suas potencialidades. Palavras-chave: Umidade do Ar. Sensores Orbitais. Temperatura do Ar. Abstract In regions where the meteorological network does not have a satisfactory coverage or the use of remote sensing, it presents itself as an effective technique for environmental studies, allowing the metrics evaluation of land use patterns as well as spatial and temporal analyzes of the climate in cities. In this way, this research aims to analyze the scientific production on the temperature and humidity techniques prediction from remote sensing data. A bibliographic and documentary analysis was carried out in consultation with the Scopus (Elseivier) research base with a final selection of 15 scientific articles that directly relate to the research content and emphasize the study of urban climate by urban land use patterns, analyzing data obtained using satellite orbital sensors such as the Landsat series. The result of the research points to the use of vegetation as an important resource to mitigate the negative effects of climate in the city. Mathematical models are being improved to obtains air temperature based on surface temperature data, since both variables have a strong correlation. The NDMI and NDWI spectral indices are useful in verifying data on air humidity, but they are not very consistent in areas of null or sparse vegetation. Remote sensing has been identified as a promising tool, including in the analysis of urban mesoclimates and microclimates, and it is important to continue research and studies that identify its potential. Keywords: Air Humidity. Orbital Sensors. Air Temperature.

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