11954
2006
2006
eng
article
1
--
--
--
Constrain to perform : regularization of habitat models
Predictive habitat models are an important tool for ecological research and conservation. A major cause of unreliable models is excessive model complexity, and regularization methods aim to improve the predictive performance by adequately constraining model complexity. We compare three regularization methods for logistic regression: variable selection, lasso, and ridge. They differ in the way model complexity is measured: variable selection uses the number of estimated parameters, the lasso uses the sum of the absolute values of the parameter estimates, and the ridge uses the sum of the squared values of the parameter estimates. We performed a simulation study with environmental data of a real landscape and artificial species occupancy data. We investigated the effect of three factors on relative model performance: (1) the number of parameters (16, 10, 6, 2) in the 'true' model that determined the distribution of the artificial species, (2) the prevalence, i.e. the proportion of sites occupied by the species, and (3) the sample size (measured in events per variable, EPV). Regularization improved model discrimination and calibration. However, no regularization method performed best under all circumstances: the ridge generally performed best in the 16-parameter scenario. The lasso generally performed best in the 10-parameter scenario. Variable selection with AIC was best at large sample sizes (EPV >= 10) when less than half of the variables influenced the species distribution. However, at low sample sizes (EPV < 10), ridge and lasso always performed best, regardless of the parameter scenario or prevalence. Overall, calibration was best in ridge models. Other methods showed overconfidence, particularly at low sample sizes. The percentage of correctly identified models was low for both lasso and variable selection. Variable selection should be used with caution. Although it can produce the best performing models under certain conditions, these situations are difficult to infer from the data. Ridge and lasso are risk-averse model strategies that can be expected to perform well under a wide range of underlying species-habitat relationships, particularly at small sample sizes.
http://www.sciencedirect.com/science/journal/03043800
10.1016/j.ecolmodel.2005.10.003
0304-3800
allegro:1991-2014
10101574
Ecological modelling. - ISSN 0304-3800. - 193 (2006), 3-4, S. 675 - 690
Björn Reineking
Boris Schröder-Esselbach
Institut für Biochemie und Biologie
Referiert
14349
2004
2004
deu
article
1
--
--
--
Validierung von Habitatmodellen
http://brandenburg.geoecology.uni-potsdam.de/users/schroeder/download/publications/ schroeder_reineking_ufzbericht9_2004b.pdf
allegro:1991-2014
10098272
UFZ-Berichte. - 9 (2004), S. 47 - 56
Boris Schröder-Esselbach
Björn Reineking
Institut für Geographie und Geoökologie
Institut für Geoökologie
Institut für Umweltwissenschaften und Geographie
14635
2004
2004
deu
article
1
--
--
--
Variablenselektion : Strategien der Modellbildung in der Habitatmodellierung
http://brandenburg.geoecology.uni-potsdam.de/users/schroeder/download/publications/ reineking_schroeder_ufzbericht9_2004b.pdf
allegro:1991-2014
10098271
UFZ-Berichte. - 9 (2004), S. 39 - 45
Björn Reineking
Boris Schröder-Esselbach
Nicht ermittelbar
Institut für Geographie und Geoökologie
Institut für Geoökologie
Institut für Umweltwissenschaften und Geographie
14699
2004
2004
deu
article
1
--
--
--
Gütemaße für Habitatmodelle
http://brandenburg.geoecology.uni-potsdam.de/users/schroeder/download/publications/ reineking_schroeder_ufzbericht9_2004a.pdf
allegro:1991-2014
10098269
UFZ-Berichte. - 9 (2004), S. 27 - 37
Björn Reineking
Boris Schröder-Esselbach
Nicht ermittelbar
Institut für Geographie und Geoökologie
Institut für Geoökologie
Institut für Umweltwissenschaften und Geographie
16360
2003
2003
eng
article
1
--
--
--
Computer-intensive methods in the analysis of species-habitat relationships
http://brandenburg.geoecology.uni-potsdam.de/users/schroeder/download/publications/ reineking_schroeder_aktheorie2003.pdf
allegro:1991-2014
10098276
Gene Bits und Ökosysteme : Implikationen neuer Technologien für die ökologische Theorie / Hrsg.: B. Breckling ; Hauke Reuter ; A. Mitwollen. - Frankfurt am Main : Lang, 2003. - S. 165 - 182
Björn Reineking
Boris Schröder-Esselbach
Nicht referiert
Institut für Geographie und Geoökologie
Institut für Geoökologie
Institut für Umweltwissenschaften und Geographie
35166
2013
2013
eng
93
101
9
2
14
article
Elsevier
Jena
1
--
--
--
How can we bring together empiricists and modellers in functional biodiversity research?
Improving our understanding of biodiversity and ecosystem functioning and our capacity to inform ecosystem management requires an integrated framework for functional biodiversity research (FBR). However, adequate integration among empirical approaches (monitoring and experimental) and modelling has rarely been achieved in FBR. We offer an appraisal of the issues involved and chart a course towards enhanced integration. A major element of this path is the joint orientation towards the continuous refinement of a theoretical framework for FBR that links theory testing and generalization with applied research oriented towards the conservation of biodiversity and ecosystem functioning. We further emphasize existing decision-making frameworks as suitable instruments to practically merge these different aims of FBR and bring them into application. This integrated framework requires joint research planning, and should improve communication and stimulate collaboration between modellers and empiricists, thereby overcoming existing reservations and prejudices. The implementation of this integrative research agenda for FBR requires an adaptation in most national and international funding schemes in order to accommodate such joint teams and their more complex structures and data needs.
Basic and applied ecology : Journal of the Gesellschaft für Ökologie
10.1016/j.baae.2013.01.001
1439-1791
wos:2011-2013
WOS:000317352100001
Jeltsch, F (reprint author), Univ Potsdam, Dept Plant Ecol & Nat Conservat, Maulbeerallee 2, D-14469 Potsdam, Germany., jeltsch@uni-potsdam.de
Deutsche Forschungsgemeinschaft DFG; DFG Priority Programme 1374
"Infrastructure-Biodiversity-Exploratories" [JE 207/5-1]
Florian Jeltsch
Niels Blaum
Ulrich Brose
Joseph D. Chipperfield
Yann Clough
Nina Farwig
Katja Geissler
Catherine H. Graham
Volker Grimm
Thomas Hickler
Andreas Huth
Felix May
Katrin M. Meyer
Jörn Pagel
Björn Reineking
Matthias C. Rillig
Katriona Shea
Frank Martin Schurr
Boris Schroeder
Katja Tielbörger
Lina Weiss
Kerstin Wiegand
Thorsten Wiegand
Christian Wirth
Damaris Zurell
eng
uncontrolled
Biodiversity theory
eng
uncontrolled
Biodiversity experiments
eng
uncontrolled
Conservation management
eng
uncontrolled
Decision-making
eng
uncontrolled
Ecosystem functions and services
eng
uncontrolled
Forecasting
eng
uncontrolled
Functional traits
eng
uncontrolled
Global change
eng
uncontrolled
Monitoring programmes
eng
uncontrolled
Interdisciplinarity
Institut für Geowissenschaften
Referiert
Institut für Erd- und Umweltwissenschaften
34296
2013
2013
eng
article
1
--
--
--
Integrating movement ecology with biodiversity research - exploring new avenues to address spatiotemporal biodiversity dynamics
http://download.springer.com/static/pdf/827/art%253A10.1186%252F2051-3933-1- 6.pdf?auth66=1394891271_f1a4cb74d6be42ee3f8872ef2ca22c24&ext=.pdf
10.1186/2051-3933-1-6
allegro:1991-2014
10111487
Movement ecology. - 1 (2013)
Florian Jeltsch
Dries Bonte
Guy Peer
Björn Reineking
Peter Leimgruber
Niko Balkenhol
Boris Schröder-Esselbach
Carsten M. Buchmann
Thomas Müller
Niels Blaum
Damaris Zurell
Katrin Böhning-Gaese
Thorsten Wiegand
Jana Eccard
Heribert Hofer
Jette Reeg
Ute Eggers
Silke Bauer
Institut für Biochemie und Biologie
40117
2013
2017
eng
13
postprint
1
--
2017-11-23
--
Integrating movement ecology with biodiversity research
Movement of organisms is one of the key mechanisms shaping biodiversity, e.g. the distribution of genes, individuals and species in space and time. Recent technological and conceptual advances have improved our ability to assess the causes and consequences of individual movement, and led to the emergence of the new field of ‘movement ecology’. Here, we outline how movement ecology can contribute to the broad field of biodiversity research, i.e. the study of processes and patterns of life among and across different scales, from genes to ecosystems, and we propose a conceptual framework linking these hitherto largely separated fields of research. Our framework builds on the concept of movement ecology for individuals, and demonstrates its importance for linking individual organismal movement with biodiversity. First, organismal movements can provide ‘mobile links’ between habitats or ecosystems, thereby connecting resources, genes, and processes among otherwise separate locations. Understanding these mobile links and their impact on biodiversity will be facilitated by movement ecology, because mobile links can be created by different modes of movement (i.e., foraging, dispersal, migration) that relate to different spatiotemporal scales and have differential effects on biodiversity. Second, organismal movements can also mediate coexistence in communities, through ‘equalizing’ and ‘stabilizing’ mechanisms. This novel integrated framework provides a conceptual starting point for a better understanding of biodiversity dynamics in light of individual movement and space-use behavior across spatiotemporal scales. By illustrating this framework with examples, we argue that the integration of movement ecology and biodiversity research will also enhance our ability to conserve diversity at the genetic, species, and ecosystem levels.
exploring new avenues to address spatiotemporal biodiversity dynamics
urn:nbn:de:kobv:517-opus4-401177
online registration
Movement ecology 1 (2013). - DOI: 10.1186/2051-3933-1-6
CC-BY - Namensnennung 4.0 International
Florian Jeltsch
Dries Bonte
Guy Pe'er
Björn Reineking
Peter Leimgruber
Niko Balkenhol
Boris Schröder-Esselbach
Carsten M. Buchmann
Thomas Müller
Niels Blaum
Damaris Zurell
Katrin Böhning-Gaese
Thorsten Wiegand
Jana Eccard
Heribert Hofer
Jette Reeg
Ute Eggers
Silke Bauer
Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe
401
eng
uncontrolled
mobile links
eng
uncontrolled
species coexistence
eng
uncontrolled
community dynamics
eng
uncontrolled
biodiversity conservation
eng
uncontrolled
long distance movement
eng
uncontrolled
landscape genetics
eng
uncontrolled
individual based modeling
Biowissenschaften; Biologie
open_access
Institut für Biochemie und Biologie
Referiert
Open Access
BioMed Central
Universität Potsdam
https://publishup.uni-potsdam.de/files/40117/pmnr401_online.pdf