1
|
Anderson V, Leung ACW, Mehdipoor H, Jänicke B, Milošević D, Oliveira A, Manavvi S, Kabano P, Dzyuban Y, Aguilar R, Agan PN, Kunda JJ, Garcia-Chapeton G, de França Carvalho Fonsêca V, Nascimento ST, Zurita-Milla R. Technological opportunities for sensing of the health effects of weather and climate change: a state-of-the-art-review. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2021; 65:779-803. [PMID: 33427946 DOI: 10.1007/s00484-020-02063-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 11/23/2020] [Accepted: 12/10/2020] [Indexed: 06/12/2023]
Abstract
Sensing and measuring meteorological and physiological parameters of humans, animals, and plants are necessary to understand the complex interactions that occur between atmospheric processes and the health of the living organisms. Advanced sensing technologies have provided both meteorological and biological data across increasingly vast spatial, spectral, temporal, and thematic scales. Information and communication technologies have reduced barriers to data dissemination, enabling the circulation of information across different jurisdictions and disciplines. Due to the advancement and rapid dissemination of these technologies, a review of the opportunities for sensing the health effects of weather and climate change is necessary. This paper provides such an overview by focusing on existing and emerging technologies and their opportunities and challenges for studying the health effects of weather and climate change on humans, animals, and plants.
Collapse
Affiliation(s)
- Vidya Anderson
- Climate Lab, Department of Physical & Environmental Sciences, University of Toronto Scarborough, Toronto, Ontario, Canada.
| | - Andrew C W Leung
- Climate Lab, Department of Physical & Environmental Sciences, University of Toronto Scarborough, Toronto, Ontario, Canada.
- Data & Services Section, Atmospheric Monitoring and Data Services, Meteorological Services of Canada, Environment and Climate Change Canada, Toronto, Canada.
| | - Hamed Mehdipoor
- Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, PO Box 217, 7500 AE, Enschede, the Netherlands.
| | | | - Dragan Milošević
- Climatology and Hydrology Research Centre, Faculty of Sciences, University of Novi Sad, Trg Dositeja Obradovića 3, Novi Sad, 21000, Serbia
| | - Ana Oliveira
- IN+ Center for Innovation, Technology and Policy Research, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001, Lisbon, Portugal
| | - S Manavvi
- Department of Architecture and Planning, Indian Institute of Technology, Roorkee, Uttarakhand, India
| | - Peter Kabano
- Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, PO Box 217, 7500 AE, Enschede, the Netherlands
- Department of Geography, School of Environment, Education & Development, The University of Manchester, Oxford Road, Manchester, UK
| | - Yuliya Dzyuban
- Office of Core Curriculum, Singapore Management University, Administration Building, 81 Victoria Street, Singapore, 188065, Singapore
| | - Rosa Aguilar
- Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, PO Box 217, 7500 AE, Enschede, the Netherlands
| | - Peter Nkashi Agan
- Department of General Studies, Faculty of Humanities, Management and Social Sciences, Federal University Wukari, P.M.B 1020, Wukari, Taraba State, Nigeria
| | - Jonah Joshua Kunda
- School of Geography, University of Nottingham, University Park, Nottingham, NG7 2RD, UK
| | - Gustavo Garcia-Chapeton
- División de Ciencia y Tecnología, Centro Universitario de Occidente - CUNOC, Universidad de San Carlos de Guatemala - USAC, Calle Rodolfo Robles 29-99 zona 1, Quetzaltenango, Guatemala
| | - Vinicius de França Carvalho Fonsêca
- Brain Function Research Group, School of Physiology, 2193, University of the Witwatersrand, Johannesburg, South Africa
- Innovation Group of Biometeorology, Behavior and Animal Welfare (INOBIO-MANERA), Universidade Federal da Paraíba, Areia, 58397 000, Brazil
| | - Sheila Tavares Nascimento
- Faculty of Agronomy and Veterinary Medicine, University of Brasília, Asa Norte, Brasília, DF, 70910-970, Brazil
| | - Raul Zurita-Milla
- Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, PO Box 217, 7500 AE, Enschede, the Netherlands
| |
Collapse
|
2
|
Sinoquet H, Stephan J, Sonohat G, Lauri PÉ, Monney P. Simple equations to estimate light interception by isolated trees from canopy structure features: assessment with three-dimensional digitized apple trees. THE NEW PHYTOLOGIST 2007; 175:94-106. [PMID: 17547670 DOI: 10.1111/j.1469-8137.2007.02088.x] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
* Simple models of light interception are useful to identify the key structural parameters involved in light capture. We developed such models for isolated trees and tested them with virtual experiments. Light interception was decomposed into the projection of the crown envelope and the crown porosity. The latter was related to tree structure parameters. * Virtual experiments were conducted with three-dimensional (3-D) digitized apple trees grown in Lebanon and Switzerland, with different cultivars and training. The digitized trees allowed actual values of canopy structure (total leaf area, crown volume, foliage inclination angle, variance of leaf area density) and light interception properties (projected leaf area, silhouette to total area ratio, porosity, dispersion parameters) to be computed, and relationships between structure and interception variables to be derived. * The projected envelope area was related to crown volume with a power function of exponent 2/3. Crown porosity was a negative exponential function of mean optical density, that is, the ratio between total leaf area and the projected envelope area. The leaf dispersion parameter was a negative linear function of the relative variance of leaf area density in the crown volume. * The resulting models were expressed as two single equations. After calibration, model outputs were very close to values computed from the 3-D digitized databases.
Collapse
Affiliation(s)
- H Sinoquet
- UMR547 PIAF, INRA, UNIV BLAISE PASCAL, 234 Avenue du Brézet, F-63100 Clermont Ferrand, France
| | - J Stephan
- UMR547 PIAF, INRA, UNIV BLAISE PASCAL, 234 Avenue du Brézet, F-63100 Clermont Ferrand, France
| | - G Sonohat
- ENITAC, Site de Marmilhat, BP35, F-63370 Lempdes, France
| | - P É Lauri
- UMR DAP, INRA-SupAgro-IRD-CIRAD, Equipe 'Architecture et Fonctionnement des Espèces fruitières', 2 place Viala, F-34060 Montpellier Cedex 1, France
| | - Ph Monney
- Agroscope Changins-Wädenswil ACW, Centre des Fougères, CH-1964 Conthey, Switzerland
| |
Collapse
|