@article {Vergne2009Acoustic,
	title = {Acoustic communication in crocodilians: from behaviour to brain},
	journal = {Biological Reviews},
	volume = {84},
	number = {3},
	year = {2009},
	month = {August},
	pages = {391{\textendash}411},
	keywords = {bioacoustics, neurobiology, reptilia, review},
	issn = {14647931},
	doi = {10.1111/j.1469-185X.2009.00079.x},
	url = {http://dx.doi.org/10.1111/j.1469-185X.2009.00079.x},
	author = {Vergne, A. L. and Pritz, M. B. and Mathevon, N.}
}
@article {Gillooly2010Energetic,
	title = {The energetic basis of acoustic communication},
	journal = {Proceedings of the Royal Society B: Biological Sciences},
	year = {2010},
	month = {January},
	abstract = {10.1098/rspb.2009.2134 Animals produce a tremendous diversity of sounds for communication to perform life{\textquoteright}s basic functions, from courtship and parental care to defence and foraging. Explaining this diversity in sound production is important for understanding the ecology, evolution and behaviour of species. Here, we present a theory of acoustic communication that shows that much of the heterogeneity in animal vocal signals can be explained based on the energetic constraints of sound production. The models presented here yield quantitative predictions on key features of acoustic signals, including the frequency, power and duration of signals. Predictions are supported with data from nearly 500 diverse species (e.g. insects, fishes, reptiles, amphibians, birds and mammals). These results indicate that, for all species, acoustic communication is primarily controlled by individual metabolism such that call features vary predictably with body size and temperature. These results also provide insights regarding the common energetic and neuromuscular constraints on sound production, and the ecological and evolutionary consequences of producing these sounds.},
	keywords = {bioacoustics, review, songs, sounds},
	doi = {10.1098/rspb.2009.2134},
	url = {http://dx.doi.org/10.1098/rspb.2009.2134},
	author = {Gillooly, James F. and Ophir, Alexander G.}
}
@article {Benzeghiba2007Automatic,
	title = {Automatic speech recognition and speech variability: A review},
	journal = {Speech Communication},
	volume = {49},
	number = {10-11},
	year = {2007},
	month = {October},
	pages = {763{\textendash}786},
	abstract = {Major progress is being recorded regularly on both the technology and exploitation of automatic speech recognition (ASR) and spoken language systems. However, there are still technological barriers to flexible solutions and user satisfaction under some circumstances. This is related to several factors, such as the sensitivity to the environment (background noise), or the weak representation of grammatical and semantic knowledge. Current research is also emphasizing deficiencies in dealing with variation naturally present in speech. For instance, the lack of robustness to foreign accents precludes the use by specific populations. Also, some applications, like directory assistance, particularly stress the core recognition technology due to the very high active vocabulary (application perplexity). There are actually many factors affecting the speech realization: regional, sociolinguistic, or related to the environment or the speaker herself. These create a wide range of variations that may not be modeled correctly (speaker, gender, speaking rate, vocal effort, regional accent, speaking style, non-stationarity, etc.), especially when resources for system training are scarce. This paper outlines current advances related to these topics.},
	keywords = {asr, bioacoustics, review, speechrecognition},
	issn = {01676393},
	doi = {10.1016/j.specom.2007.02.006},
	url = {http://dx.doi.org/10.1016/j.specom.2007.02.006},
	author = {Benzeghiba, M. and Demori, R. and Deroo, O. and Dupont, S. and Erbes, T. and Jouvet, D. and Fissore, L. and Laface, P. and Mertins, A. and Ris, C.}
}
@article {Alonzo2009Science,
	title = {Science, Politics and Evolution. By Elisabeth A. Lloyd.},
	journal = {The Quarterly Review of Biology},
	volume = {84},
	number = {1},
	year = {2009},
	month = {March},
	pages = {81},
	abstract = {doi: 10.1086/598252},
	keywords = {book, evolution, review},
	doi = {10.1086/598252},
	url = {http://dx.doi.org/10.1086/598252},
	author = {Alonzo, Suzanne H.}
}
@article {Canary2008Principles,
	title = {Principles and Influence in Codes of Ethics: A Centering Resonance Analysis Comparing Pre- and Post-Sarbanes-Oxley Codes of Ethics},
	journal = {Journal of Business Ethics},
	volume = {80},
	number = {2},
	year = {2008},
	month = {December},
	pages = {263{\textendash}278},
	abstract = {Abstract\&nbsp;\&nbsp;Halting the loss of biodiversity comes along with the need to quantify biodiversity composition and dynamics at large spatial and temporal scales. Highly standardized, international monitoring networks would be ideal, but they do not exist yet. If we are to assess changes in biodiversity now, combining output available from ongoing monitoring initiatives is the only option. However, integration of biodiversity information across schemes is still very poorly developed. In this paper, we outline practical issues to be considered when planning to combine existing monitoring information. First, we provide an overview of avenues for integration along the four dimensions that characterize a monitoring design: sample size, biological coverage, spatial coverage and temporal coverage. We also emphasize that complementarity in monitoring targets across schemes enables to describe complex processes of biodiversity dynamics, e.g. through relating species traits to the impacts of environmental changes. Second, we review some methods to overcome differences in designs among monitoring schemes, such as site selection, post-stratification and measurement error. Finally, we point out some commonly used statistical methods that are at hand for combining data or parameter estimates. We especially emphasize the possible levels of data integration (raw data, parameter estimates, or effect size estimates), and the largely under-exploited potential of meta-analysis methods and weighted analyses. This contribution aims to bolster the practice and use of integration of ongoing monitoring initiatives for biodiversity assessment.},
	keywords = {biodiversity, data-integration, monitoring, review},
	issn = {0167-4544},
	doi = {10.1007/s10531-008-9417-1},
	url = {http://dx.doi.org/10.1007/s10531-008-9417-1},
	author = {Canary, Heather E. and Jennings, Marianne M.}
}
@article {Gerhardt2003Acoustic,
	title = {Acoustic Communication in Insects and Anurans: Common Problems and Diverse Solutions},
	journal = {The Journal of the Acoustical Society of America},
	volume = {114},
	number = {2},
	year = {2003},
	pages = {559},
	publisher = {ASA},
	keywords = {amibio, bioacoustics, communication, insects, review},
	url = {http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal\&id=JASMAN000114000002000559000001\&idtype=cvips\&gifs=yes},
	author = {Gerhardt, H. Carl and Author and Huber, Franz and Author and Simmons, Andrea M. and Reviewer}
}
@article {Johnson2007Biodiversity,
	title = {Biodiversity Informatics},
	journal = {Annual Review of Entomology},
	volume = {52},
	number = {1},
	year = {2007},
	pages = {421{\textendash}438},
	abstract = {Abstract Biodiversity informatics is an emerging field that applies information management tools to the management and analysis of species-occurrence, taxonomic character, and image data. A wide and growing range of tools is available for both curators and researchers. The development and implementation of formal data exchange standards and query protocols have made it possible to integrate data holdings from collections around the world. The current technological environment is summarized; protocols, standards, and tools for data management, sharing, and integration are reviewed; and methods and tools for analyzing species-occurrence and character data are examined. Direct access to primary data and imagery has the power to transform the means by which taxonomy is practiced and its results disseminated to the general community.},
	keywords = {biodiversity, biodiversity-informatics, collections, review, specimen, taxonomy},
	doi = {10.1146/annurev.ento.52.110405.091259},
	url = {http://dx.doi.org/10.1146/annurev.ento.52.110405.091259},
	author = {Johnson, Norman F.}
}
@article {Walter2007Keys,
	title = {Keys and the Crisis in Taxonomy: Extinction or Reinvention?*},
	journal = {Annual Review of Entomology},
	volume = {52},
	number = {1},
	year = {2007},
	pages = {193{\textendash}208},
	abstract = {Abstract Dichotomous keys that follow a single pathway of character state choices to an end point have been the primary tools for the identification of unknown organisms for more than two centuries. However, a revolution in computer diagnostics is now under way that may result in the replacement of traditional keys by matrix-based computer interactive keys that have many paths to a correct identification and make extensive use of hypertext to link to images, glossaries, and other support material. Progress is also being made on replacing keys entirely by optical matching of specimens to digital databases and DNA sequences. These new tools may go some way toward alleviating the taxonomic impediment to biodiversity studies and other ecological and evolutionary research, especially with better coordination between those who produce keys and those who use them and by integrating interactive keys into larger biological Web sites.},
	keywords = {keys, review, taxonomy},
	issn = {0066-4170},
	doi = {10.1146/annurev.ento.51.110104.151054},
	url = {http://dx.doi.org/10.1146/annurev.ento.51.110104.151054},
	author = {Walter, David E. and Winterton, Shaun}
}
@article {2010ECOLOGY,
	title = {ECOLOGY ON THE WEB},
	journal = {Bulletin of the Ecological Society of America},
	volume = {91},
	number = {2},
	year = {2010},
	month = {April},
	pages = {232{\textendash}234},
	keywords = {biodiversity20, ecology, review},
	issn = {0012-9623},
	doi = {10.1890/0012-9623-91.2.232},
	url = {http://dx.doi.org/10.1890/0012-9623-91.2.232}
}
@article {Tomkiewicz2010Global,
	title = {Global positioning system and associated technologies in animal behaviour and ecological research},
	journal = {Philosophical Transactions of the Royal Society B: Biological Sciences},
	volume = {365},
	number = {1550},
	year = {2010},
	month = {July},
	pages = {2163{\textendash}2176},
	abstract = {10.1098/rstb.2010.0090 Biologists can equip animals with global positioning system (GPS) technology to obtain accurate (less than or equal to 30 m) locations that can be combined with sensor data to study animal behaviour and ecology. We provide the background of GPS techniques that have been used to gather data for wildlife studies. We review how GPS has been integrated into functional systems with data storage, data transfer, power supplies, packaging and sensor technologies to collect temperature, activity, proximity and mortality data from terrestrial species and birds. GPS {\textquoteright}rapid fixing{\textquoteright} technologies combined with sensors provide location, dive frequency and duration profiles, and underwater acoustic information for the study of marine species. We examine how these rapid fixing technologies may be applied to terrestrial and avian applications. We discuss positional data quality and the capability for high-frequency sampling associated with GPS locations. We present alternatives for storing and retrieving data by using dataloggers (biologging), radio-frequency download systems (e.g. very high frequency, spread spectrum), integration of GPS with other satellite systems (e.g. Argos, Globalstar) and potential new data recovery technologies (e.g. network nodes). GPS is one component among many rapidly evolving technologies. Therefore, we recommend that users and suppliers interact to ensure the availability of appropriate equipment to meet animal research objectives.},
	keywords = {gps, migration, review, techniques, telemetry},
	doi = {10.1098/rstb.2010.0090},
	url = {http://dx.doi.org/10.1098/rstb.2010.0090},
	author = {Tomkiewicz, Stanley M. and Fuller, Mark R. and Kie, John G. and Bates, Kirk K.}
}
