@article {Alonzo2003Ecosystembased,
	title = {An ecosystem-based approach to management: using individual behaviour to predict the indirect effects of Antarctic krill fisheries on penguin foraging},
	journal = {Journal of Applied Ecology},
	year = {2003},
	month = {August},
	pages = {692{\textendash}702},
	publisher = {Blackwell Publishing},
	abstract = {Summary \&\#149; Changes in species\&\#146; abundance and distributions caused by human disturbances can have indirect effects on other species in a community. Although ecosystem approaches to management are becoming increasingly prevalent, they require a fuller understanding of how individual behaviour determines interactions within and between species. \&\#149; Ecological interactions involving krill are of major importance to many species within the Antarctic. Despite extensive knowledge of the ecosystem that they occupy, there is still incomplete understanding of the links between species and the effect of environmental conditions on these interactions. In this study, we extended a behavioural model used previously to understand the interactions between penguins and krill to determine the indirect effect of krill fisheries on penguin foraging success and behaviour in adjacent breeding sites. \&\#149; Increased fishing pressure offshore is predicted to reduce penguin food intake. Given the documented links between krill and penguins, this also leads to a prediction of decreased penguin survival and reproduction. Krill behaviour is predicted to cause stronger effects of krill fisheries than explained solely by the percentage of biomass removed. Environmental conditions that decrease krill growth rates or cause krill to spend time in deeper water are also predicted to increase the magnitude of the effect of fishing on penguin success. We show that changes in penguin foraging behaviour can be used to assess the impact of local fisheries on penguin reproductive success. \&\#149; Synthesis and applications. These results demonstrate that an understanding of predator\&\#150;prey interactions, indirect effects between species, and individual behaviour is imperative to our ability to manage populations. We describe a general method to use what is known about ecological and evolutionary processes with species-specific information to predict the response of organisms to novel situations. We further show how individual behaviour can be used to assess the impact of human disturbance on ecosystems.},
	keywords = {ecology, ecosystems, foraging, groms, krill, marine, penguins, seabirds},
	issn = {0021-8901},
	doi = {10.1046/j.1365-2664.2003.00830.x},
	url = {http://dx.doi.org/10.1046/j.1365-2664.2003.00830.x},
	author = {Alonzo, S. H. and Switzer, P. V. and Mangel, M.}
}
@article {Broekhuizen2003Simulating,
	title = {Simulating the distribution of southern Buller{\textquoteright}s albatross using an individual-based population model},
	journal = {Journal of Applied Ecology},
	volume = {40},
	number = {4},
	year = {2003},
	month = {August},
	pages = {678{\textendash}691},
	keywords = {albatross, birds, gis, migration, seabirds, simulation, tracking},
	issn = {0021-8901},
	doi = {10.1046/j.1365-2664.2003.00834.x},
	url = {http://dx.doi.org/10.1046/j.1365-2664.2003.00834.x},
	author = {Broekhuizen, N. and Stahl, J. C. and Sagar, P. M.}
}
@article {Cowling2003Comparison,
	title = {Comparison of techniques for environmental sound recognition},
	journal = {Pattern Recognition Letters},
	volume = {24},
	number = {15},
	year = {2003},
	month = {November},
	pages = {2895{\textendash}2907},
	abstract = {This paper presents a comprehensive comparative study of artificial neural networks, learning vector quantization and dynamic time warping classification techniques combined with stationary/non-stationary feature extraction for environmental sound recognition. Results show 70\% recognition using mel frequency cepstral coefficients or continuous wavelet transform with dynamic time warping.},
	keywords = {asr, environment, it, recognition, soundscapes},
	issn = {01678655},
	doi = {10.1016/S0167-8655(03)00147-8},
	url = {http://dx.doi.org/10.1016/S0167-8655(03)00147-8},
	author = {Cowling, 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 {Chek2003Mating,
	title = {Mating signal partitioning in multi-species assemblages: a null model test using frogs},
	journal = {Ecology Letters},
	volume = {6},
	number = {3},
	year = {2003},
	month = {March},
	pages = {235{\textendash}247},
	keywords = {amphibia, anura, bioacoustics, biodiversity, community, ecology},
	issn = {1461-023X},
	doi = {10.1046/j.1461-0248.2003.00420.x},
	url = {http://dx.doi.org/10.1046/j.1461-0248.2003.00420.x},
	author = {Chek, Andrew A. and Bogart, James P. and Lougheed, Stephen C.}
}
@article {Ni2003Spatial,
	title = {Spatial clustering of rangeland grasshoppers (Orthoptera: Acrididae) in the Qinghai Lake region of northwestern China},
	journal = {Agriculture, Ecosystems \& Environment},
	volume = {95},
	number = {1},
	year = {2003},
	month = {April},
	pages = {61{\textendash}68},
	abstract = {Geostatistical analyses were used to examine the pattern of spatial distribution of rangeland grasshoppers in the basin of Qinghai Lake in northwestern China. Two sampling expeditions were undertaken to collect relevant data. In the first case, data were collected across an area of 1295~km 2 to the west of the lake in August 1999. Moran{\textquoteright}s I was used to analyze spatial clustering of grasshoppers across this study region. Local G -statistics were used to analyze the pattern of grasshopper population density using two units of distance (100~m and 1~km). The analyses revealed spatial clustering at both 300{\textendash}1300~m and 13{\textendash}16~km. In the second expedition, in July 2000, grasshoppers were sampled at a fine scale (100, 30 m{\texttimes}30~m plots) in a smaller area (Tiebujia) embedded within the previous region. The correlograms of Moran{\textquoteright}s I showed a strong, positive spatial correlation among the densities of both: all grasshoppers and the dominant species ( Myrmeleotettix palpalis Zub.), with clustering at a separation distance of 120~m. Analysis of the local G -statistic value in the regularly sampled area indicated that clustering occurred mainly between 120 and 150~m. These analyses showed that the rangeland grasshoppers in the study area had an obvious spatial clustering which varied with the spatial scale. At a large scale, clustering occurs at 13{\textendash}16~km and at a local-scale at 120{\textendash}150 and 300{\textendash}1300~m.},
	keywords = {china, clustering, grasshoppers, grassland, habitat, orthooptera},
	issn = {01678809},
	doi = {10.1016/S0167-8809(02)00165-2},
	url = {http://dx.doi.org/10.1016/S0167-8809(02)00165-2},
	author = {Ni, S.}
}
