Modeling behavior control of golden apple snails at different temperatures

Bae, Mi‐Jung; Chon, Tae‐Soo; Park, Young‐Seuk

doi:10.1016/j.ecolmodel.2014.10.020

Cited by 13 publications

(14 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Information entropy [34] has been widely applied in quantifying complexity of behavior and physiological responses for both humans [56,57] and animals [58][59][60] . Information entropy (H) takes account of the occurrence probability of each behavior as shown in Eq.…”

Section: Thermal Adaptation Complexity Using Information Entropymentioning

confidence: 99%

See 1 more Smart Citation

Exploring the “black box” of thermal adaptation using information entropy

Jing

Yao

2018

Building and Environment

View full text Add to dashboard Cite

Thermal adaptation has been interpreted well by behavioral, physiological, and psychological factors, but the mechanism and interaction between the three factors remain in the "black box". This paper aims to apply the theory of general system and information entropy to investigate the quantitative relationships of the three thermal adaptation processes. Based on the database from the field survey and laboratory experiments conducted in the hot summer and cold winter climate zone of China, three typical adaptive indices: clothing insulation (Clo), thermal sensation votes (TSV) and sensory nerve conduction velocity (SCV) were selected to calculate Clo entropy, TSV entropy, SCV entropy and total entropy. The regression models were developed between these entropies and the indoor air temperature to quantify the weights of the three adaptive categories. The models were used to compare the differences between China and Pakistan as well as between adaptive approaches and climate chamber experiments. The thermal comfort and acceptable temperature ranges were obtained using the entropy models. Our findings propose a new perspective using entropy to quantify the behaviorally, physiologically, and psychologically adaptive approaches, which contribute to a better understanding of opening the "black box" of thermal adaptation.

show abstract

Section: Thermal Adaptation Complexity Using Information Entropymentioning

confidence: 99%

“…Information entropy (H) takes account of the occurrence probability of each behavior as shown in Eq. (1) [58][59][60]. In the thermal environment range, H should be continuous.…”

Section: Thermal Adaptation Complexity Using Information Entropymentioning

confidence: 99%

Exploring the “black box” of thermal adaptation using information entropy

Jing

Yao

2018

Building and Environment

View full text Add to dashboard Cite

show abstract

“…Automatic detection of behavioral responses of water species has been applied as an efficient tool for biomonitoring in aquatic environment, because animal behaviors would be suitable as indicators for various pollutants [ 2 , 3 ]. A large number of behavioral studies on chemical effects at low concentrations have been reported subjected to various taxa including insects [ 4 ], crustaceans [ 5 ], nematodes [ 6 ], snails [ 7 ], and fish [ 8 ]. The information involved in animal movement behavior, however, has been regarded as difficult to exact due to complexity residing in the data, and so effective methods to analyze behaviors without a priori knowledge are important in the behavioral monitoring [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Implementation of Fractal Dimension and Self-Organizing Map to Detect Toxic Effects of Toluene on Movement Tracks of Daphnia magna

Liu

Xia

Fan

et al. 2018

Journal of Toxicology

View full text Add to dashboard Cite

Movement behaviors of an indicator species, Daphnia magna, in response to contaminants have been implemented to monitor environmental disturbances. Complexity in movement tracks of Daphnia magna was characterized by use of fractal dimension and self-organizing map. The individual movement tracks of D. magna were continuously recorded for 24 hours before and after treatments with toluene at the concentration of 10 mg/L, respectively. The general complexity in movement tracks (10 minutes) was characterized by fractal dimension. Results showed that average fractal dimension of movement tracks was decreased from 1.62 to 1.22 after treatments. The instantaneous movement parameters of movement segments in 5 s were input into the self-organizing map to investigate the swimming pattern changes under stresses of toluene. Abnormal behaviors of D. magna are more frequently observed after treatments than before treatments. Computational methods in ecological informatics could be utilized to obtain the useful information in behavioral data of D. magna and would be further applied as an in situ monitoring tool in water environment.

show abstract

“…Several of the Pomacea species have characteristics that make them highly invasive such as high fecundity (Keller et al 2007;Kyle et al 2013), a polyphagous diet which includes both animal proteins and a wide variety of wild and domesticated aquatic plants (Wong et al 2010;Burks et al 2011;Morrison and Hay 2011;Saveanu and Martín 2013) and a tolerance to low oxygen or foul water conditions due to their capacity to breathe air . All aspects of Pomacea biology, including feeding, growth, sexual activity and egg laying, are highly dependent on temperature (Bae et al 2015;Albrecht et al 2005;Estebenet and Martín 2002;Hayes et al 2015;Martín 2013a, 2016). Among the apple snails, only P. canaliculata has been listed among the 100 world worst invaders by the IUCN (Luque et al 2014) due to its ecological, agricultural and economic impacts (Carlsson et al 2004;Cowie 2002;Horgan et al 2014;Nghiem et al 2013) as well as the risk posed to human health (Lv et al 2011).…”

Section: Introductionmentioning

confidence: 99%

A temperature-dependent physiologically based model for the invasive apple snail Pomacea canaliculata

et al. 2017

View full text Add to dashboard Cite

In order to set priorities in management of costly and ecosystem-damaging species, policymakers and managers need accurate predictions not only about where a specific invader may establish but also about its potential abundance at different geographical scales. This is because density or biomass per unit area of an invasive species is a key predictor of the magnitude of environmental and economic impact in the invaded habitat. Here, we present a physiologically based demographic model describing and explaining the population dynamics of a widespread freshwater invader, the golden apple snail Pomacea canaliculata, which is causing severe environmental and economic impacts in invaded wetlands and rice fields in Southeastern Asia and has also been introduced to North America and Europe. The model is based on bio-demographic functions for mortality, development and fecundity rates that are driven by water temperature for the aquatic stages (juveniles and adults) and by air temperature for the aerial egg masses. Our model has been validated against data on the current distribution in South America and Japan, and produced consistent and realistic patterns of reproduction, growth, maturation and mortality under different scenarios in accordance to what is known from real P. canaliculata populations in different regions and climates. The model further shows that P. canaliculata will use two different reproductive strategies (semelparity and iteroparity) within the potential area of establishment, a plasticity that may explain the high invasiveness of this species across a wide range of habitats with different climates. Our results also suggest that densities, and thus the magnitude of environmental and agricultural damage, will be largely different in locations with distinct climatic regimes within the potential area of establishment. We suggest that physiologically based demographic modelling of invasive species will become a valuable tool for invasive species managers.

show abstract

Modeling behavior control of golden apple snails at different temperatures

Cited by 13 publications

References 34 publications

Exploring the “black box” of thermal adaptation using information entropy

Exploring the “black box” of thermal adaptation using information entropy

Implementation of Fractal Dimension and Self-Organizing Map to Detect Toxic Effects of Toluene on Movement Tracks of Daphnia magna

A temperature-dependent physiologically based model for the invasive apple snail Pomacea canaliculata

Contact Info

Product

Resources

About