2017
DOI: 10.1002/ece3.3054
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Past, current, and future trends of red spiny lobster based on PCA with MaxEnt model in Galapagos Islands, Ecuador

Abstract: In order to enhance in terms of accuracy and predict the modeling of the potential distribution of species, the integration of using principal components of environmental variables as input of maximum entropy (MaxEnt) has been proposed in this study. Principal components selected previously from the principal component analysis results performed in Arc GIS in the environmental variables was used as an input data of MaxEnt instead of raw data to model the potential distribution of red spi… Show more

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Cited by 29 publications
(28 citation statements)
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“…There are several reports on the prediction of suitable species distributions under climate change using the MaxEnt model. These reports mainly focus on energy plants, medicinal plants, invasive species, endangered species, and the migration routes of species [ 4 , 38 , 39 , 42 , 45 , 46 , 47 , 48 ]. Different plants have different requirements for their growth environments, resulting in obvious differences in suitable distributions.…”
Section: Discussionmentioning
confidence: 99%
“…There are several reports on the prediction of suitable species distributions under climate change using the MaxEnt model. These reports mainly focus on energy plants, medicinal plants, invasive species, endangered species, and the migration routes of species [ 4 , 38 , 39 , 42 , 45 , 46 , 47 , 48 ]. Different plants have different requirements for their growth environments, resulting in obvious differences in suitable distributions.…”
Section: Discussionmentioning
confidence: 99%
“…Temperature also plays an important role as a determining factor in survival rate, intermolt period, and growth rates in adult lobsters (William, Lellis & Russell, 1990). These biological processes could influence other aspects such as recruitment patterns in the fishing zones, which in turn could modify the species’ distribution and abundance (Atema & Cobb, 1980; Reck, 1983; Toral-Granda et al., 2002; Daw, 2008; Defeo et al, 2013; Moya, Jacome & Yoo, 2017). All these factors can impact resource availability and catchability, and hence the CPUE values.…”
Section: Discussionmentioning
confidence: 99%
“…As suggested by Anderson (2007), we defined a priori 15 candidate models including meaningful variables according to the information reported in the literature, to offer theoretical support regarding the selected components (Defeo et al, 2013; Edgar et al, 2004; Hearn et al, 2004; Moya, Jacome & Yoo, 2017). The implicit assumption we made was that fishers could modify the fishing operations in terms of time and space, given the abundance of the resources, access to those resources, fishers’ experience, and preferences of the fishers for some fishing areas, as well as environmental conditions.…”
Section: Methodsmentioning
confidence: 99%
“…However, inputting a large dataset of relevant ecoclimatic covariates often lead to multicollinearity, a mathematical problem defined as a high degree of correlation amongst covariates in nonexperimental situations. PCA, a multivariate technique tool of ArcGIS 10.4, is used to reduce multiple data dimensions into a smaller number of analytical variables, which conserve a high proportion of the original information [18, 19]. This tool may be used to analyse the ecoclimatic variables in environmental layers.…”
Section: Methodsmentioning
confidence: 99%