TY  - JOUR
A1  - Mengüllüoğlu, Deniz
A1  - Fickel, Jörns
A1  - Hofer, Heribert
A1  - Förster, Daniel W.
T1  - Non-invasive faecal sampling reveals spatial organization and improves measures of genetic diversity for the conservation assessment of territorial species
BT  - Caucasian lynx as a case species
JF  - PLoS one
N2  - The Caucasian lynx, Lynx lynx dinniki, has one of the southernmost distributions in the Eurasian lynx range, covering Anatolian Turkey, the Caucasus and Iran. Little is known about the biology and the genetic status of this subspecies. To collect baseline genetic, ecological and behavioural data and benefit future conservation of L. l. dinniki, we monitored 11 lynx territories (396 km(2)) in northwestern Anatolia. We assessed genetic diversity of this population by non-invasively collecting 171 faecal samples and trapped and sampled 12 lynx individuals using box traps. We observed high allelic variation at 11 nuclear microsatellite markers, and found no signs of inbreeding despite the potential isolation of this population. We obtained similar numbers of distinct genotypes from the two sampling sources. Our results indicated that first order female relatives occupy neighbouring territories (female philopatry) and that territorial male lynx were highly unrelated to each other and to female territorial lynx, suggesting long distance male dispersal. Particular male and female resident territorial lynx and their offspring (kittens and subadults) were more likely to be trapped than resident floaters or dispersing (unrelated) lynx. Conversely, we obtained more data for unrelated lynx and higher numbers of territorials using non-invasive sampling (faeces). When invasive and non-invasive samples were analysed separately, the spatial organisation of lynx (in terms of female philopatry and females and males occupying permanent ranges) affected measures of genetic diversity in such a way that estimates of genetic diversity were reduced if only invasive samples were considered. It appears that, at small spatial scales, invasive sampling using box traps may underestimate the genetic diversity in carnivores with permanent ranges and philopatry such as the Eurasian lynx. As non-invasive sampling can also provide additional data on diet and spatial organisation, we advocate the use of such samples for conservation genetic studies of vulnerable, endangered or data deficient territorial species.
Y1  - 2019
U6  - https://doi.org/10.1371/journal.pone.0216549
SN  - 1932-6203
VL  - 14
IS  - 5
PB  - PLoS
CY  - San Fransisco
ER  - 
TY  - JOUR
A1  - Kramer-Schadt, Stephanie
A1  - Niedballa, Jürgen
A1  - Pilgrim, John D.
A1  - Schröder-Esselbach, Boris
A1  - Lindenborn, Jana
A1  - Reinfelder, Vanessa
A1  - Stillfried, Milena
A1  - Heckmann, Ilja
A1  - Scharf, Anne K.
A1  - Augeri, Dave M.
A1  - Cheyne, Susan M.
A1  - Hearn, Andrew J.
A1  - Ross, Joanna
A1  - Macdonald, David W.
A1  - Mathai, John
A1  - Eaton, James
A1  - Marshall, Andrew J.
A1  - Semiadi, Gono
A1  - Rustam, Rustam
A1  - Bernard, Henry
A1  - Alfred, Raymond
A1  - Samejima, Hiromitsu
A1  - Duckworth, J. W.
A1  - Breitenmoser-Wuersten, Christine
A1  - Belant, Jerrold L.
A1  - Hofer, Heribert
A1  - Wilting, Andreas
T1  - The importance of correcting for sampling bias in MaxEnt species distribution models
JF  - Diversity & distributions : a journal of biological invasions and biodiversity
N2  - AimAdvancement in ecological methods predicting species distributions is a crucial precondition for deriving sound management actions. Maximum entropy (MaxEnt) models are a popular tool to predict species distributions, as they are considered able to cope well with sparse, irregularly sampled data and minor location errors. Although a fundamental assumption of MaxEnt is that the entire area of interest has been systematically sampled, in practice, MaxEnt models are usually built from occurrence records that are spatially biased towards better-surveyed areas. Two common, yet not compared, strategies to cope with uneven sampling effort are spatial filtering of occurrence data and background manipulation using environmental data with the same spatial bias as occurrence data. We tested these strategies using simulated data and a recently collated dataset on Malay civet Viverra tangalunga in Borneo.
 LocationBorneo, Southeast Asia.
 MethodsWe collated 504 occurrence records of Malay civets from Borneo of which 291 records were from 2001 to 2011 and used them in the MaxEnt analysis (baseline scenario) together with 25 environmental input variables. We simulated datasets for two virtual species (similar to a range-restricted highland and a lowland species) using the same number of records for model building. As occurrence records were biased towards north-eastern Borneo, we investigated the efficacy of spatial filtering versus background manipulation to reduce overprediction or underprediction in specific areas.
 ResultsSpatial filtering minimized omission errors (false negatives) and commission errors (false positives). We recommend that when sample size is insufficient to allow spatial filtering, manipulation of the background dataset is preferable to not correcting for sampling bias, although predictions were comparatively weak and commission errors increased.
 Main ConclusionsWe conclude that a substantial improvement in the quality of model predictions can be achieved if uneven sampling effort is taken into account, thereby improving the efficacy of species conservation planning.
KW  - Borneo
KW  - carnivora
KW  - conservation planning
KW  - ecological niche modelling
KW  - maximum entropy (MaxEnt)
KW  - sampling bias
KW  - Southeast Asia
KW  - species distribution modelling
KW  - viverridae
Y1  - 2013
U6  - https://doi.org/10.1111/ddi.12096
SN  - 1366-9516
SN  - 1472-4642
VL  - 19
IS  - 11
SP  - 1366
EP  - 1379
PB  - Wiley-Blackwell
CY  - Hoboken
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  -