| Records |
Author  |
Beresford, A.E.; Donald, P.F.; Buchanan, G.M. |
| Title |
Repeatable and standardised monitoring of threats to Key Biodiversity Areas in Africa using Google Earth Engine |
Type |
Journal Article |
| Year |
2020 |
Publication |
Ecological Indicators |
Abbreviated Journal |
Ecological Indicators |
| Volume |
109 |
Issue |
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Pages |
105763 |
| Keywords |
Remote Sensing |
| Abstract |
Key Biodiversity Areas (KBAs) are sites that make significant contributions to the global persistence of biodiversity, but identification of sites alone is not sufficient to ensure their conservation. Monitoring is essential if pressures on these sites are to be identified, priorities set and appropriate responses developed. Here, we describe how analysis of freely available data on a cloud-processing platform (Google Earth Engine) can be used to assess changes in three example remotely sensed threat indicators (fire frequency, tree loss and night-time lights) over time on KBAs in Africa. We develop easily repeatable methods with shared code that could be applied across any geographic area and could be adapted and applied to other datasets as they become available. Fire frequency was found to have increased significantly on 12.4% of KBAs and 15.9% of ecoregions, whilst rates of forest loss increased significantly on 24.3% of KBAs and 22.6% of ecoregions. There was also evidence of significant increases in night-time lights on over half (53.3%) of KBAs and 39.6% of ecoregions between 1992 and 2013, and on 11.6% of KBAs and 53.0% of ecoregions between 2014 and 2018. |
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1470160X |
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GFZ @ kyba @ |
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2707 |
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| Author |
Chen, J.; Fan, W.; Li, K.; Liu, X.; Song, M. |
| Title |
Fitting Chinese cities’ population distributions using remote sensing satellite data |
Type |
Journal Article |
| Year |
2019 |
Publication |
Ecological Indicators |
Abbreviated Journal |
Ecological Indicators |
| Volume |
98 |
Issue |
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Pages |
327-333 |
| Keywords |
Remote Sensing |
| Abstract |
Remote sensing satellite data from 2012 to 2013 are used to fit the Chinese cities’ population distributions over the same period in order to verify the population distribution in China from a relatively objective perspective. Most scholars have used nighttime light data and vegetation indexes to fit the population distribution, but the fitting effect has not been satisfactory. In this paper, processed Visible Infrared Imaging Radiometer Suite (VIIRS) nighttime light data, net primary productivity of vegetation (NPP), and average slope data were used to fit the population distribution from the three dimensions of economic growth, ecological environment, and topographic factors, respectively. The fitting effect was significantly improved compared with other studies (R2 values of 0.9244 and 0.9253 in 2012 and 2013, respectively). Therefore, this method provides a practical and effective way to fit the population distribution for remote cities or areas lacking census data. Furthermore, there is important practical significance for the government to formulate its population policies rationally, optimize the spatial distribution of population, and improve the ecological quality of the city. |
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1470160X |
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GFZ @ kyba @ |
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2071 |
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Jiang, J.; He, Y.; Kou, H.; Ju, Z.; Gao, X.; Zhao, H. |
| Title |
The effects of artificial light at night on Eurasian tree sparrow (Passer montanus): Behavioral rhythm disruption, melatonin suppression and intestinal microbiota alterations |
Type |
Journal Article |
| Year |
2020 |
Publication |
Ecological Indicators |
Abbreviated Journal |
Ecological Indicators |
| Volume |
108 |
Issue |
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Pages |
105702 |
| Keywords |
Animals; Artificial light at night; Eurasian tree sparrow; Melatonin; Intestinal microbiota |
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Artificial light at night (ALAN) or light pollution is rapidly widespread with fast urbanization and becomes an obvious environmental disturbance. Recent studies showed ALAN has multiple negative impacts on a wide range of species including bird biological rhythm disruption, behavioral and physiological disturbance and hormone secretion disorder. However, its effects on bird gut microbiota are scarcely studied. In this study, we used Eurasian tree sparrow (Passer montanus), a widely distributed and locally abundant bird species in both urban and rural areas of China to examine the effects of ALAN on locomotor activity rhythm and melatonin secretion, and species diversity and community structure of intestinal microbiota by simulating urban and rural night light environment. Our results showed ALAN strongly affected circadian rhythm of locomotor activity with earlier start of activity before light-on and later rest after light-off. Moreover, ALAN significantly suppressed melatonin release. Last but not least, ALAN profoundly affected taxonomic compositions, species diversity and community structure of intestinal microbiota of birds. We concluded that ALAN may cause bird health damage by disrupting circadian rhythm, inhibiting melatonin release and altering intestinal microbiota. Melatonin hormone level and intestinal microbiota diversity may be important bioindicators for light pollution. |
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College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China |
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Elsevier |
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English |
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English |
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1470160X |
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IDA @ john @ |
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2781 |
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Lan, T.; Shao, G.; Xu, Z.; Tang, L.; Sun, L. |
| Title |
Measuring urban compactness based on functional characterization and human activity intensity by integrating multiple geospatial data sources |
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Journal Article |
| Year |
2021 |
Publication |
Ecological Indicators |
Abbreviated Journal |
Ecological Indicators |
| Volume |
121 |
Issue |
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Pages |
107177 |
| Keywords |
Remote Sensing |
| Abstract |
Compact development is one of the most effective solutions for sustainable urbanization under the rapid growth of the urban population. Great efforts have been made to measure urban physical compactness while limited attention has been paid to functional zoning of urban areas. Here, we introduce a novel index, called the functional compactness index (FCI), to quantify urban functional compactness through the integration of geospatial data sources, including Points of Interest (POIs) data, Road Network of OpenStreetMap (RNO) data, and National Polar-orbiting Partnership (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) nighttime light data. The FCI does not require the analysis of the grid scale and thus, is technically simpler than conventional compactness index (CI). We examined the effectiveness of FCI on estimating urban compactness under four land use scenarios and in four Chinese cities. The results suggest that: (1) the FCI can comprehensively reflect the intensity of human activity, the differentiation between residential zones and other functional zones, and the mixing degree of different functional zones; (2) the FCI is not affected by the service radius of residential zones; (3) the FCI can reflect the overall and local-scale functional compactness of a city; and (4) the FCI can be used to effectively compare spatial characteristics of functional compactness among different cities. In conclusion, the FCI considers the rationality of urban functional layout, which not only is helpful for urban planning, but also enriches the quantitative methods of urban compactness evaluation. |
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1470160X |
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GFZ @ kyba @ |
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3271 |
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| Author |
Neri, L.; Coscieme, L.; Giannetti, B.F.; Pulselli, F.M. |
| Title |
Imputing missing data in non-renewable empower time series from night-time lights observations |
Type |
Journal Article |
| Year |
2018 |
Publication |
Ecological Indicators |
Abbreviated Journal |
Ecological Indicators |
| Volume |
84 |
Issue |
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Pages |
106-118 |
| Keywords |
Remote Sensing |
| Abstract |
Emergy is an environmental accounting tool, with a specific set of indicators, that proved to be highly informative for sustainability assessment of national economies. The empower, defined as emergy per unit time, is a measure of the overall flow of resources used by a system in order to support its functioning. Continuous time-series of empower are not available for most of the world countries, due to the large amount of data needed for its calculation year by year. In this paper, we aim at filling this gap by means of a model that facilitates reconstruction of continuous time series of the non-renewable component of empower for a set of 57 countries of the world from 1995 to 2012. The reconstruction is based on a 3 year global emergy dataset and on the acknowledged relationships between the use of non-renewables, satellite observed artificial lights emitted at night, and Gross Domestic Product. Results show that this method provides accurate estimations of non-renewable empower at the country scale. The estimation model can be extended onward and backward in time and replicated for more countries, also using higher-resolution satellite imageries newly available. Besides representing an important advancement in emergy theory, this information is helpful for monitoring progresses toward Sustainable Development and energy use international goals. |
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1470160X |
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LoNNe @ kyba @ |
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1706 |
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