Perspectives on next‐generation technology for environmental sensor networks

Benson, Barbara J.; Bond, Barbara J.; Hamilton, Michael; Monson, Russell K.; Han, Richard

doi:10.1890/080130

Cited by 36 publications

(23 citation statements)

References 35 publications

(50 reference statements)

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“…This extraction capacity will be a key advance to enable data analysis of highspeed recordings from train fronts, similar to the extraction of useful biological monitoring data from continuous recording webcams or sensor networks (Benson et al, 2010;Porter et al, 2010;Evans et al, 2015). In our case, review of the recordings was focused on the points at which the cabin observer detected birds in front of the train, and on a small complementary sampling of the recordings as a whole.…”

Section: Discussionmentioning

confidence: 99%

On-Board Video Recording Unravels Bird Behavior and Mortality Produced by High-Speed Trains

et al. 2017

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Large high-speed railway (HSR) networks are planned for the near future to accomplish increased transport demand with low energy consumption. However, high-speed trains produce unknown avian mortality due to birds using the railway and being unable to avoid approaching trains. Safety and logistic difficulties have precluded until now mortality estimation in railways through carcass removal, but information technologies can overcome such problems. We present the results obtained with an experimental on-board system to record bird-train collisions composed by a frontal recording camera, a GPS navigation system and a data storage unit. An observer standing in the cabin behind the driver controlled the system and filled out a form with data of collisions and bird observations in front of the train. Photographs of the train front taken before and after each journey were used to improve the record of killed birds. Trains running the 321.7 km line between Madrid and Albacete (Spain) at speeds up to 250-300 km/h were equipped with the system during 66 journeys along a year, totaling approximately 14,700 km of effective recording. The review of videos produced 1,090 bird observations, 29.4% of them corresponding to birds crossing the infrastructure under the catenary and thus facing collision risk. Recordings also showed that 37.7% bird crossings were of animals resting on some element of the infrastructure moments before the train arrival, and that the flight initiation distance of birds (mean ± SD) was between 60 ± 33 m (passerines) and 136 ± 49 m (raptors). Mortality in the railway was estimated to be 60.5 birds/km year on a line section with 53 runs per day and 26.1 birds/km year in a section with 25 runs per day. Our results are the first published estimation of bird mortality in a HSR and show the potential of information technologies to yield useful data for monitoring the impact of trains on birds via on-board recording systems. Moreover, recordings point to the use of the infrastructure by birds as a key issue leading to bird train-kill.

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Section: Discussionmentioning

confidence: 99%

On-Board Video Recording Unravels Bird Behavior and Mortality Produced by High-Speed Trains

et al. 2017

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“…Ecology is increasingly becoming a data-intensive science (see Glossary) [1,2], relying on massive amounts of data collected by both remote-sensing platforms [3] and sensor networks that are embedded in the environment [4][5][6][7]. New observatory networks, such as the US National Ecological Observatory Network (NEON) [8] and Global Lake Ecological Observatory Network (GLEON) [9], provide research platforms that enable scientists to examine phenomena across diverse ecosystem types through access to thousands of sensors collecting diverse environmental observations.…”

Section: Ecology As An Evolving Disciplinementioning

confidence: 99%

Ecoinformatics: supporting ecology as a data-intensive science

Michener

Jones

2012

Trends in Ecology & Evolution

346

324

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“…2006). Sensor networks often include a variety of instruments that collect continuous time series of physical (eg air temperature, soil water content, atmospheric gas fluxes) and biological (eg sap flow, animal movement) data over broad and remote regions (Benson et al . 2010) and that can be used in multi‐ and interdisciplinary research.…”

Section: Emerging Technologies Enhancing Dryland Research and Managementmentioning

confidence: 99%

Emerging technological and cultural shifts advancing drylands research and management

Browning

Rango

Karl

et al. 2015

Frontiers in Ecol & Environ

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Managing drylands for varied uses under escalating human demand is becoming increasingly complicated (MA 2005;Hochstrasser et al. 2012). Over the past century, drylands research has expanded both temporally and spatially in scope, allowing scientists and land managers to gain a better understanding of ecosystem dynamics at scales relevant to management (Bestelmeyer et al. 2011; Mueller et al. 2012). As a result, we now understand, for example, that the best practices for drylands management must include information about human factors such as legacy land uses affecting community structure and ecosystem services, as well as details regarding extreme climate conditions and resistance to management practices (Foster et al. 2003;Collins et al. 2014;Standish et al. 2014).The urgent need to stem further degradation and desertification in dryland ecosystems has been the underlying motivation for developing stronger linkages between research and management, but there remains a gap between the scales and directions of drylands research and the information needs of decision makers (Herrick and Sarukhan 2007;Sayre et al. 2012). Optimized management strategies require not only a mechanistic understanding of dryland ecosystem dynamics and their crossscale biophysical interactions (Peters et al. 2007), but also research and application at appropriate spatial and temporal scales (Peters et al. 2004;Karl and Maurer 2010). Still, there must be tighter connections between research, management, and knowledge; Yahdjian et al. (2015), for instance, note that the need to meet changing demands for ecosystem services intensifies the need to integrate relevant local knowledge and real-time landscape monitoring.Here we highlight several important technological and cultural advances that may transform drylands research and improve the links between research, management, and knowledge in dryland landscapes. We begin with a discussion about how new data collection, management, and analytical techniques that integrate large, disparate datasets will be pivotal in improving decision making for sustainable resource management. Second, we highlight several cultural advances that promote interactive environments for sharing, exploring, and using data. We envi- In a nutshell: SHIFTING PARADIGMS IN DRYLANDS Emerging technological and cultural shifts advancing drylands research and management Dawn• Those conducting research and making decisions to support the sustainable management of dryland ecosystem services face many challenges • The field is approaching technological and cultural "tipping points" that will expedite research and allow results to be shared openly and by different means • Ecologists are poised to simultaneously develop both arenasthe technological and the cultural -and merge them in ways that allow for rapid, dynamic cycling of information between research and management communities • Success will be achieved by collaborating more broadly across disciplines; adopting open practices regarding data collection, curation, and sharing;...

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Perspectives on next‐generation technology for environmental sensor networks

Cited by 36 publications

References 35 publications

On-Board Video Recording Unravels Bird Behavior and Mortality Produced by High-Speed Trains

On-Board Video Recording Unravels Bird Behavior and Mortality Produced by High-Speed Trains

Ecoinformatics: supporting ecology as a data-intensive science

Emerging technological and cultural shifts advancing drylands research and management

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