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Author  |
Alabia, I.; Dehara, M.; Saitoh, S.-I.; Hirawake, T. |

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Title |
Seasonal Habitat Patterns of Japanese Common Squid (Todarodes Pacificus) Inferred from Satellite-Based Species Distribution Models |
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Journal Article |
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Year |
2016 |
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Remote Sensing |
Abbreviated Journal |
Remote Sensing |
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8 |
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11 |
Pages |
921 |
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Keywords |
Remote Sensing; Animals |
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Abstract |
The understanding of the spatio-temporal distributions of the species habitat in the marine environment is central to effectual resource management and conservation. Here, we examined the potential habitat distributions of Japanese common squid (Todarodes pacificus) in the Sea of Japan during a four-year period. The seasonal patterns of preferential habitat were inferred from species distribution models, built using squid occurrences detected from night-time visible images and remotely-sensed environmental factors. The predicted squid habitat (i.e., areas with high habitat suitability) revealed strong seasonal variability, characterized by a reduction of potential habitat, confined off of the southern part of the basin during the winterâspring period (DecemberâMay). Apparent expansion of preferential habitat occurred during summerâautumn months (JuneâNovember), concurrent with the formation of highly suitable habitat patches in certain regions of the Sea of Japan. These habitat distribution patterns were in response to changes in oceanographic conditions and synchronous with seasonal migration of squid. Moreover, the most important variables regulating the spatio-temporal patterns of suitable habitat were sea surface temperature, depth, sea surface height anomaly, and eddy kinetic energy. These variables could affect the habitat distributions through their impacts on growth and survival of squid, local nutrient transport, and the availability of favorable spawning and feeding grounds. |
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2072-4292 |
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LoNNe @ kyba @ |
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1551 |
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Alamús, R.; Bará, S.; Corbera, J.; Escofet, J.; Palà , V.; Pipia, L.; Tardà, A. |

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Ground-based hyperspectral analysis of the urban nightscape |
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Journal Article |
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2017 |
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ISPRS Journal of Photogrammetry and Remote Sensing |
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ISPRS Journal of Photogrammetry and Remote Sensing |
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124 |
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16-26 |
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Instrumentation; Remote Sensing |
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Airborne hyperspectral cameras provide the basic information to estimate the energy wasted skywards by outdoor lighting systems, as well as to locate and identify their sources. However, a complete characterization of the urban light pollution levels also requires evaluating these effects from the city dwellers standpoint, e.g. the energy waste associated to the excessive illuminance on walls and pavements, light trespass, or the luminance distributions causing potential glare, to mention but a few. On the other hand, the spectral irradiance at the entrance of the human eye is the primary input to evaluate the possible health effects associated with the exposure to artificial light at night, according to the more recent models available in the literature. In this work we demonstrate the possibility of using a hyperspectral imager (routinely used in airborne campaigns) to measure the ground-level spectral radiance of the urban nightscape and to retrieve several magnitudes of interest for light pollution studies. We also present the preliminary results from a field campaign carried out in the downtown of Barcelona. |
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0924-2716 |
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1613 |
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Amaral, S.; Monteiro, A.M.V.; Camara, G.; Quintanilha, J.A. |

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DMSP/OLS night-time light imagery for urban population estimates in the Brazilian Amazon |
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Journal Article |
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2006 |
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International Journal of Remote Sensing |
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International Journal of Remote Sensing |
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27 |
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5 |
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855-870 |
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Remote Sensing |
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0143-1161 |
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LoNNe @ kagoburian @ |
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701 |
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Anderson, S.J.; Tuttle, B.T.; Powell, R.L.; Sutton, P.C. |

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Characterizing relationships between population density and nighttime imagery for Denver, Colorado: issues of scale and representation |
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Journal Article |
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2010 |
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International Journal of Remote Sensing |
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International Journal of Remote Sensing |
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31 |
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21 |
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5733-5746 |
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Remote Sensing |
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0143-1161 |
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LoNNe @ kagoburian @ |
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702 |
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Andrade-Núñez, M.J.; Aide, T.M. |

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Title |
The Socio-Economic and Environmental Variables Associated with Hotspots of Infrastructure Expansion in South America |
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Journal Article |
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2020 |
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Remote Sensing |
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Remote Sensing |
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12 |
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1 |
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116 |
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Remote Sensing |
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The built environment, defined as all human-made infrastructure, is increasing to fulfill the demand for human settlements, productive systems, mining, and industries. Due to the profound direct and indirect impacts that the built environment produces on natural ecosystems, it is considered a major driver of land change and biodiversity loss, and a major component of global environmental change. In South America, a global producer of minerals and agricultural commodities, and a region with many biodiversity hotspots, infrastructure expanded considerably between 2001 and 2011. This expansion occurred mainly in rural areas, towns, and sprawling suburban areas that were not previously developed. Herein, we characterized the areas of major infrastructure expansion between 2001 and 2011 in South America. We used nighttime light data, land use maps, and socio-economic and environmental variables to answer the following questions: (1) Where are the hotspots of infrastructure expansion located? and (2) What combination of socio-economic and environmental variables are associated with infrastructure expansion? Hotspots of infrastructure expansion encompass 70% (337,310 km2) of the total infrastructure expansion occurring between 2001 and 2011 across South America. Urban population and economic growth, mean elevation, and mean road density were the main variables associated with the hotspots, grouping them into eight clusters. Furthermore, within the hotspots, woody vegetation increased around various urban centers, and several areas showed a large increase in agriculture. Investments in large scale infrastructure projects, and the expansion and intensification of productive systems (e.g., agriculture and meat production) play a dominant role in the increase of infrastructure across South America. We expect that under the current trends of globalization and land changes, infrastructure will continue increasing and expanding into no-development areas and remote places. Therefore, to fully understand the direct and indirect impacts of land use change in natural ecosystems studies of infrastructure need to expand to areas beyond cities. This will provide better land management alternatives for the conservation of biodiversity as well as peri-urban areas across South America. |
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GFZ @ kyba @ |
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2798 |
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