Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Predictive models in ecology: Comparison of performances and assessment of applicability
Download
index.pdf
Date
2006-04-01
Author
Tan, Can Ozan
Ozesmi, Uygar
Beklioğlu, Meryem
Per, Esra
Kurt, Bahtiyar
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
183
views
91
downloads
Cite This
Ecological systems are governed by complex interactions which are mainly nonlinear. In order to capture the inherent complexity and nonlinearity of ecological, and in general biological systems, empirical models recently gained popularity. However, although these models, particularly connectionist approaches such as multilayered backpropagation networks, are commonly applied as predictive models in ecology to a wide variety of ecosystems and questions, there are no studies to date aiming to assess the performance, both in terms of data fitting and generalizability, and applicability of empirical models in ecology. Our aim is hence to provide an overview for nature of the wide range of the data sets and predictive variables, from both aquatic and terrestrial ecosystems with different scales of time-dependent dynamics, and the applicability and robustness of predictive modeling methods on such data sets by comparing different empirical modeling approaches. The models used in this study range from predicting the occurrence of submerged plants in shallow lakes to predicting nest occurrence of bird species from environmental variables and satellite images. The methods considered include k-nearest neighbor (k-NN), linear and quadratic discriminant analysis (LDA and QDA), generalized linear models (GLM) feedforward multilayer backpropagation networks and pseudo-supervised network ARTMAP.
Subject Keywords
Ecological Modelling
,
Ecology
,
Modelling and Simulation
,
Computational Theory and Mathematics
,
Applied Mathematics
,
Ecology, Evolution, Behavior and Systematics
,
Computer Science Applications
URI
https://hdl.handle.net/11511/35574
Journal
ECOLOGICAL INFORMATICS
DOI
https://doi.org/10.1016/j.ecoinf.2006.03.002
Collections
Department of Biology, Article
Suggestions
OpenMETU
Core
Modeling complex nonlinear responses of shallow lakes to fish and hydrology using artificial neural networks
Tan, Can Ozan; Beklioğlu, Meryem (Elsevier BV, 2006-07-10)
Mathematical abstractions may be useful in providing insight that is otherwise very difficult to obtain due to complex interactions in the ecosystems. The difficulty associated with the nonlinearity and complexity of ecological processes and interactions can be avoided with artificial neural networks (ANN) and generalized logistic models (GLMs) which are practically ANNs without hidden layer. An ANN and a GLM were developed to determine the probability of submerged plant occurrence in five shallow Anatolian...
Computational modeling of passive myocardium
Göktepe, Serdar; Wong, Jonathan; Kuhl, Ellen (Wiley, 2011-01-01)
This work deals with the computational modeling of passive myocardial tissue within the framework ofmixed, non-linear finite element methods. We consider a recently proposed, convex, anisotropic hyperelastic model that accounts for the locally orthotropic micro-structure of cardiac muscle. A coordinate-free representation of anisotropy is incorporated through physically relevant invariants of the Cauchy-Green deformation tensors and structural tensors of the corresponding material symmetry group. This model...
Cancer onset and progression: A genome-wide, nonlinear dynamical systems perspective on onconetworks
Qu, K.; Haidar, A. Abi; Fan, J.; Ensman, L.; Tuncay, Kağan; Jolly, M.; Ortoleva, P. (Elsevier BV, 2007-05-21)
It is hypothesized that the many human cell types corresponding to multiple states is supported by an underlying nonlinear dynamical system (NDS) of transcriptional regulatory network (TRN) processes. This hypothesis is validated for epithelial cells whose TRN is found to support an extremely complex array of states that we term a "bifurcation nexus", for which we introduce a quantitative measure of complexity. The TRN used is constructed and analyzed by integrating a database of TRN information, cDNA micro...
Intergenic and Repeat Transcription in Human, Chimpanzee and Macaque Brains Measured by RNA-Seq
Xu, Augix Guohua; He, Liu; Li, Zhongshan; Xu, Ying; Li, Mingfeng; Fu, Xing; Yan, Zheng; Yuan, Yuan; Menzel, Corinna; Li, Na; Somel, Mehmet; Hu, Hao; Chen, Wei; Paabo, Svante; Khaitovich, Philipp (Public Library of Science (PLoS), 2010-07-01)
Transcription is the first step connecting genetic information with an organism's phenotype. While expression of annotated genes in the human brain has been characterized extensively, our knowledge about the scope and the conservation of transcripts located outside of the known genes' boundaries is limited. Here, we use high-throughput transcriptome sequencing (RNA-Seq) to characterize the total non-ribosomal transcriptome of human, chimpanzee, and rhesus macaque brain. In all species, only 20-28% of non-ri...
Trait-based community assembly of submersed macrophytes subjected to nutrient enrichment in freshwater lakes: Do traits at the individual level matter?
Fu, Hui; Yuan, Guixiang; Jeppesen, Erik (Elsevier BV, 2020-03-01)
Understanding how functional traits distributed across ecological scales as well as environmental gradients are central issues of trait-based assembly processes. However, whether environmental filters act on individuals or species mean traits remains poorly tested. Here, we measured four functional traits - shoot height, specific leaf area, lamina thickness, and leaf dry mass content - of 4432 individuals from 30 submersed macrophyte species across 26 lakes in south China, covering a broad nutrient gradient...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
C. O. Tan, U. Ozesmi, M. Beklioğlu, E. Per, and B. Kurt, “Predictive models in ecology: Comparison of performances and assessment of applicability,”
ECOLOGICAL INFORMATICS
, pp. 195–211, 2006, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/35574.