TY  - JOUR
A1  - Reineking, Björn
A1  - Schröder-Esselbach, Boris
T1  - Constrain to perform : regularization of habitat models
N2  - 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.
Y1  - 2006
UR  - http://www.sciencedirect.com/science/journal/03043800
U6  - https://doi.org/10.1016/j.ecolmodel.2005.10.003
SN  - 0304-3800
ER  - 
TY  - JOUR
A1  - Jeltsch, Florian
A1  - Bonte, Dries
A1  - Peer, Guy
A1  - Reineking, Björn
A1  - Leimgruber, Peter
A1  - Balkenhol, Niko
A1  - Schröder-Esselbach, Boris
A1  - Buchmann, Carsten M.
A1  - Müller, Thomas
A1  - Blaum, Niels
A1  - Zurell, Damaris
A1  - Böhning-Gaese, Katrin
A1  - Wiegand, Thorsten
A1  - Eccard, Jana
A1  - Hofer, Heribert
A1  - Reeg, Jette
A1  - Eggers, Ute
A1  - Bauer, Silke
T1  - Integrating movement ecology with biodiversity research - exploring new avenues to address spatiotemporal biodiversity dynamics
Y1  - 2013
UR  - http://download.springer.com/static/pdf/827/art%253A10.1186%252F2051-3933-1- 6.pdf?auth66=1394891271_f1a4cb74d6be42ee3f8872ef2ca22c24&ext=.pdf
U6  - https://doi.org/10.1186/2051-3933-1-6
ER  - 
TY  - GEN
A1  - Jeltsch, Florian
A1  - Bonte, Dries
A1  - Pe'er, Guy
A1  - Reineking, Björn
A1  - Leimgruber, Peter
A1  - Balkenhol, Niko
A1  - Schröder-Esselbach, Boris
A1  - Buchmann, Carsten M.
A1  - Müller, Thomas
A1  - Blaum, Niels
A1  - Zurell, Damaris
A1  - Böhning-Gaese, Katrin
A1  - Wiegand, Thorsten
A1  - Eccard, Jana
A1  - Hofer, Heribert
A1  - Reeg, Jette
A1  - Eggers, Ute
A1  - Bauer, Silke
T1  - Integrating movement ecology with biodiversity research
BT  - exploring new avenues to address spatiotemporal biodiversity dynamics
N2  - 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.
T3  - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 401 
KW  - mobile links
KW  - species coexistence
KW  - community dynamics
KW  - biodiversity conservation
KW  - long distance movement
KW  - landscape genetics
KW  - individual based modeling
Y1  - 2017
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-401177
ER  - 
TY  - JOUR
A1  - Tucker, Marlee A.
A1  - Boehning-Gaese, Katrin
A1  - Fagan, William F.
A1  - Fryxell, John M.
A1  - Van Moorter, Bram
A1  - Alberts, Susan C.
A1  - Ali, Abdullahi H.
A1  - Allen, Andrew M.
A1  - Attias, Nina
A1  - Avgar, Tal
A1  - Bartlam-Brooks, Hattie
A1  - Bayarbaatar, Buuveibaatar
A1  - Belant, Jerrold L.
A1  - Bertassoni, Alessandra
A1  - Beyer, Dean
A1  - Bidner, Laura
A1  - van Beest, Floris M.
A1  - Blake, Stephen
A1  - Blaum, Niels
A1  - Bracis, Chloe
A1  - Brown, Danielle
A1  - de Bruyn, P. J. Nico
A1  - Cagnacci, Francesca
A1  - Calabrese, Justin M.
A1  - Camilo-Alves, Constanca
A1  - Chamaille-Jammes, Simon
A1  - Chiaradia, Andre
A1  - Davidson, Sarah C.
A1  - Dennis, Todd
A1  - DeStefano, Stephen
A1  - Diefenbach, Duane
A1  - Douglas-Hamilton, Iain
A1  - Fennessy, Julian
A1  - Fichtel, Claudia
A1  - Fiedler, Wolfgang
A1  - Fischer, Christina
A1  - Fischhoff, Ilya
A1  - Fleming, Christen H.
A1  - Ford, Adam T.
A1  - Fritz, Susanne A.
A1  - Gehr, Benedikt
A1  - Goheen, Jacob R.
A1  - Gurarie, Eliezer
A1  - Hebblewhite, Mark
A1  - Heurich, Marco
A1  - Hewison, A. J. Mark
A1  - Hof, Christian
A1  - Hurme, Edward
A1  - Isbell, Lynne A.
A1  - Janssen, Rene
A1  - Jeltsch, Florian
A1  - Kaczensky, Petra
A1  - Kane, Adam
A1  - Kappeler, Peter M.
A1  - Kauffman, Matthew
A1  - Kays, Roland
A1  - Kimuyu, Duncan
A1  - Koch, Flavia
A1  - Kranstauber, Bart
A1  - LaPoint, Scott
A1  - Leimgruber, Peter
A1  - Linnell, John D. C.
A1  - Lopez-Lopez, Pascual
A1  - Markham, A. Catherine
A1  - Mattisson, Jenny
A1  - Medici, Emilia Patricia
A1  - Mellone, Ugo
A1  - Merrill, Evelyn
A1  - Mourao, Guilherme de Miranda
A1  - Morato, Ronaldo G.
A1  - Morellet, Nicolas
A1  - Morrison, Thomas A.
A1  - Diaz-Munoz, Samuel L.
A1  - Mysterud, Atle
A1  - Nandintsetseg, Dejid
A1  - Nathan, Ran
A1  - Niamir, Aidin
A1  - Odden, John
A1  - Oliveira-Santos, Luiz Gustavo R.
A1  - Olson, Kirk A.
A1  - Patterson, Bruce D.
A1  - de Paula, Rogerio Cunha
A1  - Pedrotti, Luca
A1  - Reineking, Bjorn
A1  - Rimmler, Martin
A1  - Rogers, Tracey L.
A1  - Rolandsen, Christer Moe
A1  - Rosenberry, Christopher S.
A1  - Rubenstein, Daniel I.
A1  - Safi, Kamran
A1  - Said, Sonia
A1  - Sapir, Nir
A1  - Sawyer, Hall
A1  - Schmidt, Niels Martin
A1  - Selva, Nuria
A1  - Sergiel, Agnieszka
A1  - Shiilegdamba, Enkhtuvshin
A1  - Silva, Joao Paulo
A1  - Singh, Navinder
A1  - Solberg, Erling J.
A1  - Spiegel, Orr
A1  - Strand, Olav
A1  - Sundaresan, Siva
A1  - Ullmann, Wiebke
A1  - Voigt, Ulrich
A1  - Wall, Jake
A1  - Wattles, David
A1  - Wikelski, Martin
A1  - Wilmers, Christopher C.
A1  - Wilson, John W.
A1  - Wittemyer, George
A1  - Zieba, Filip
A1  - Zwijacz-Kozica, Tomasz
A1  - Mueller, Thomas
T1  - Moving in the Anthropocene
BT  - global reductions in terrestrial mammalian movements
JF  - Science
N2  - Animal movement is fundamental for ecosystem functioning and species survival, yet the effects of the anthropogenic footprint on animal movements have not been estimated across species. Using a unique GPS-tracking database of 803 individuals across 57 species, we found that movements of mammals in areas with a comparatively high human footprint were on average one-half to one-third the extent of their movements in areas with a low human footprint. We attribute this reduction to behavioral changes of individual animals and to the exclusion of species with long-range movements from areas with higher human impact. Global loss of vagility alters a key ecological trait of animals that affects not only population persistence but also ecosystem processes such as predator-prey interactions, nutrient cycling, and disease transmission.
Y1  - 2018
U6  - https://doi.org/10.1126/science.aam9712
SN  - 0036-8075
SN  - 1095-9203
VL  - 359
IS  - 6374
SP  - 466
EP  - 469
PB  - American Assoc. for the Advancement of Science
CY  - Washington
ER  -