Application of Entropy and Fractal Dimension Analyses to the Pattern Recognition of Contaminated Fish Responses in Aquaculture

The objective of the work was to develop a non-invasive methodology for image acquisition, processing and nonlinear trajectory analysis of the collective fish response to a stochastic event. Object detection and motion estimation were performed by an optical flow algorithm in order to detect moving fish and simultaneously eliminate background, noise and artifacts. The Entropy and the Fractal Dimension (FD) of the trajectory followed by the centroids of the groups of fish were calculated using Shannon and permutation Entropy and the Katz, Higuchi and Katz-Castiglioni's FD algorithms respectively. The methodology was tested on three case groups of European sea bass (Dicentrarchus labrax), two of which were similar (C1 control and C2 tagged fish) and very different from the third (C3, tagged fish submerged in methylmercury contaminated water). The results indicate that Shannon entropy and Katz-Castiglioni were the most sensitive algorithms and proved to be promising tools for the non-invasive identification and quantification of differences in fish responses. In conclusion, we believe that this methodology has the potential to be embedded in online/real time architecture for contaminant monitoring programs in the aquaculture industry.

Insight on how fishing bats discern prey and adjust their mechanic and sensorial features during the attack sequence

Several insectivorous bats have included fish in their diet, yet little is known about the processes underlying this trophic shift. We performed three field experiments with wild fishing bats to address how they manage to discern fish from insects and adapt their hunting technique to capture fish. We show that bats react only to targets protruding above the water and discern fish from insects based on prey disappearance patterns. Stationary fish trigger short and shallow dips and a terminal echolocation pattern with an important component of the narrowband and low frequency calls. When the fish disappears during the attack process, bats regulate their attack increasing the number of broadband and high frequency calls in the last phase of the echolocation as well as by lengthening and deepening their dips. These adjustments may allow bats to obtain more valuable sensorial information and to perform dips adjusted to the level of uncertainty on the location of the submerged prey. The observed ultrafast regulation may be essential for enabling fishing to become cost-effective in bats, and demonstrates the ability of bats to rapidly modify and synchronise their sensorial and motor features as a response to last minute stimulus variations.

Klima-aldaketaren eraginak euskal kostaldeko mendebaldeko sakonera handiko begetazio azpimarealean

[eus] Euskal kostaldeko mareazpiko begetazioak aldaketa esanguratsuak jasan ditu azken hiru hamarkadetan. Aurretik egindako ikerketek jakinarazi dute aldaketa horiek klima-aldaketak eragindakoak direla. Ikerketa honen helburua inpaktu horri buruzko informazio gehiago lortzea da. Horretarako, sakonera handiko uretako fitobentosaren osaerari eta ugaritasunari buruzko balioespena egin da. 2014. urteko udan 7 trantsektu ezarri ziren, Kobaroneko muturretik Muskizeko muturreraino. Trantsektu horiek aurretik ikertuak izan ziren 1982 eta 2007 urteetan, eta laginketa suntsitzailea egin zen. Analisi estatistikoek aldaketa esanguratsuak erakusten dituzte sakoneko (9-11m) komunitateetan azken 32 urteetan. Uraren tenperaturaren emendioa eta eguzki-erradiazio altuagoa detektatutako aldaketen erantzuleak izan daitezke neurri batean. Pterosiphonia complanata espezie esziafiloaren gainbeherak eta Cystoseira baccata eta Aphanocladia stichidiosa espezieen ugaritzeak hipotesi hori azaltzen dute. Espero genuenaren kontra, Gelidium corneum espeziea, sakontasun gutxiko uretan gainbehera bortitza jasaten ari dena, ez da 9 metrotik beherako sakonerara lekualdatu. Hala ere, ezin da ziurtatu egungo ingurumeneko baldintzak optimoak ez direnik G. corneum espeziearen garapenerako 9-11 metroko sakoneretan. Migrazio bertikal hori ez gertatzearen arrazoi onargarriena C. baccata- rekiko lehiakortasuna dela dirudi. Bestalde, C. baccata hiru dimentsiotako habitatak eratzeko gai den tamaina handiko alga bat da, espezie askorentzat babesleku gisa diharduena. Ondorioz, haren hedapenak G. corneum-ek sakonera txikiagoetan betetzen zuen funtzioa ordezka lezake neurri batean.

Can environmental constraints determine random patterns of plant species co-occurrence?

Plant community ecologists use the null model approach to infer assembly processes from observed patterns of species co-occurrence. In about a third of published studies, the null hypothesis of random assembly cannot be rejected. When this occurs, plant ecologists interpret that the observed random pattern is not environmentally constrained - but probably generated by stochastic processes. The null model approach (using the C-score and the discrepancy index) was used to test for random assembly under two simulation algorithms. Logistic regression, distance-based redundancy analysis, and constrained ordination were used to test for environmental determinism (species segregation along environmental gradients or turnover and species aggregation). This article introduces an environmentally determined community of alpine hydrophytes that presents itself as randomly assembled. The pathway through which the random pattern arises in this community is suggested to be as follows: Two simultaneous environmental processes, one leading to species aggregation and the other leading to species segregation, concurrently generate the observed pattern, which results to be neither aggregated nor segregated - but random. A simulation study supports this suggestion. Although apparently simple, the null model approach seems to assume that a single ecological factor prevails or that if several factors decisively influence the community, then they all exert their influence in the same direction, generating either aggregation or segregation. As these assumptions are unlikely to hold in most cases and assembly processes cannot be inferred from random patterns, we would like to propose plant ecologists to investigate specifically the ecological processes responsible for observed random patterns, instead of trying to infer processes from patterns