Ontology type: schema:ScholarlyArticle Open Access: True
2017-10
AUTHORSAnna Suuronen, Christian Muñoz-Escobar, Anssi Lensu, Markku Kuitunen, Natalia Guajardo Celis, Pablo Espinoza Astudillo, Marcos Ferrú, Andrés Taucare-Ríos, Marcelo Miranda, Jussi V. K. Kukkonen
ABSTRACTThe renewable energy sector is growing at a rapid pace in northern Chile and the solar energy potential is one of the best worldwide. Therefore, many types of solar power plant facilities are being built to take advantage of this renewable energy resource. Solar energy is considered a clean source of energy, but there are potential environmental effects of solar technology, such as landscape fragmentation, extinction of local biota, microclimate changes, among others. To be able to minimize environmental impacts of solar power plants, it is important to know what kind of environmental conditions solar power plants create. This study provides information about abiotic and biotic conditions in the vicinity of photovoltaic solar power plants. Herein, the influence of these power plants as drivers of new microclimate conditions and arthropods diversity composition in the Atacama Desert was evaluated. Microclimatic conditions between panel mounts was found to be more extreme than in the surrounding desert yet beneath the panels temperature is lower and relative humidity higher than outside the panel area. Arthropod species composition was altered in fixed-mount panel installations. In contrast, solar tracking technology showed less influence on microclimate and species composition between Sun and Shade in the power plant. Shady conditions provided a refuge for arthropod species in both installation types. For example, Dipterans were more abundant in the shade whereas Solifugaes were seldom present in the shade. The presented findings have relevance for the sustainable planning and construction of solar power plants. More... »
PAGES630-642
http://scigraph.springernature.com/pub.10.1007/s00267-017-0906-4
DOIhttp://dx.doi.org/10.1007/s00267-017-0906-4
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PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/28643082
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"sameAs": [
"https://doi.org/10.1007/s00267-017-0906-4",
"https://app.dimensions.ai/details/publication/pub.1086124047"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T12:38",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000363_0000000363/records_70040_00000002.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1007%2Fs00267-017-0906-4"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00267-017-0906-4'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00267-017-0906-4'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00267-017-0906-4'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00267-017-0906-4'
This table displays all metadata directly associated to this object as RDF triples.
331 TRIPLES
21 PREDICATES
87 URIs
31 LITERALS
19 BLANK NODES