@article{VoigtSchollBaueretal.2020, author = {Voigt, Christian and Scholl, Julia M. and Bauer, Juliane and Teige, Tobias and Yovel, Yossi and Kramer-Schadt, Stephanie and Gras, Pierre}, title = {Movement responses of common noctule bats to the illuminated urban landscape}, series = {Landscape ecology}, volume = {35}, journal = {Landscape ecology}, number = {1}, publisher = {Springer}, address = {Dordrecht}, issn = {0921-2973}, doi = {10.1007/s10980-019-00942-4}, pages = {189 -- 201}, year = {2020}, abstract = {Context Cities are a challenging habitat for obligate nocturnal mammals because of the ubiquitous use of artificial light at night (ALAN). How nocturnal animals move in an urban landscape, particularly in response to ALAN is largely unknown. Objectives We studied the movement responses, foraging and commuting, of common noctules (Nyctalus noctula) to urban landscape features in general and ALAN in particular. Methods We equipped 20 bats with miniaturized GPS loggers in the Berlin metropolitan area and related spatial positions of bats to anthropogenic and natural landscape features and levels of ALAN. Results Common noctules foraged close to ALAN only next to bodies of water or well vegetated areas, probably to exploit swarms of insects lured by street lights. In contrast, they avoided illuminated roads, irrespective of vegetation cover nearby. Predictive maps identified most of the metropolitan area as non-favoured by this species because of high levels of impervious surfaces and ALAN. Dark corridors were used by common noctules for commuting and thus likely improved the permeability of the city landscape. Conclusions We conclude that the spatial use of common noctules, previously considered to be more tolerant to light than other bats, is largely constrained by ALAN. Our study is the first individual-based GPS tracking study to show sensitive responses of nocturnal wildlife to light pollution. Approaches to protect urban biodiversity need to include ALAN to safeguard the larger network of dark habitats for bats and other nocturnal species in cities.}, language = {en} } @article{RadchukKramerSchadtFickeletal.2019, author = {Radchuk, Viktoriia and Kramer-Schadt, Stephanie and Fickel, J{\"o}rns and Wilting, Andreas}, title = {Distributions of mammals in Southeast Asia: The role of the legacy of climate and species body mass}, series = {Journal of biogeography}, volume = {46}, journal = {Journal of biogeography}, number = {10}, publisher = {Wiley}, address = {Hoboken}, issn = {0305-0270}, doi = {10.1111/jbi.13675}, pages = {2350 -- 2362}, year = {2019}, abstract = {Aim Current species distributions are shaped by present and past biotic and abiotic factors. Here, we assessed whether abiotic factors (habitat availability) in combination with past connectivity and a biotic factor (body mass) can explain the unique distribution pattern of Southeast Asian mammals, which are separated by the enigmatic biogeographic transition zone, the Isthmus of Kra (IoK), for which no strong geophysical barrier exists. Location Southeast Asia. Taxon Mammals. Methods We projected habitat suitability for 125 mammal species using climate data for the present period and for two historic periods: mid-Holocene (6 ka) and last glacial maximum (LGM 21 ka). Next, we employed a phylogenetic linear model to assess how present species distributions were affected by the suitability of areas in these different periods, habitat connectivity during LGM and species body mass. Results Our results show that cooler climate during LGM provided suitable habitat south of IoK for species presently distributed north of IoK (in mainland Indochina). However, the potentially suitable habitat for these Indochinese species did not stretch very far southwards onto the exposed Sunda Shelf. Instead, we found that the emerged landmasses connecting Borneo and Sumatra provided suitable habitat for forest dependent Sundaic species. We show that for species whose current distribution ranges are mainly located in Indochina, the area of the distribution range that is located south of IoK is explained by the suitability of habitat in the past and present in combination with the species body mass. Main conclusions We demonstrate that a strong geophysical barrier may not be necessary for maintaining a biogeographic transition zone for mammals, but that instead a combination of abiotic and biotic factors may suffice.}, language = {en} } @article{SchererRadchukStaubachetal.2019, author = {Scherer, Cedric and Radchuk, Viktoriia and Staubach, Christoph and Mueller, Sophie and Blaum, Niels and Thulke, Hans-Hermann and Kramer-Schadt, Stephanie}, title = {Seasonal host life-history processes fuel disease dynamics at different spatial scales}, series = {Journal of animal ecology : a journal of the British Ecological Society}, volume = {88}, journal = {Journal of animal ecology : a journal of the British Ecological Society}, number = {11}, publisher = {Wiley}, address = {Hoboken}, issn = {0021-8790}, doi = {10.1111/1365-2656.13070}, pages = {1812 -- 1824}, year = {2019}, abstract = {Understanding the drivers underlying disease dynamics is still a major challenge in disease ecology, especially in the case of long-term disease persistence. Even though there is a strong consensus that density-dependent factors play an important role for the spread of diseases, the main drivers are still discussed and, more importantly, might differ between invasion and persistence periods. Here, we analysed long-term outbreak data of classical swine fever, an important disease in both wild boar and livestock, prevalent in the wild boar population from 1993 to 2000 in Mecklenburg-Vorpommern, Germany. We report outbreak characteristics and results from generalized linear mixed models to reveal what factors affected infection risk on both the landscape and the individual level. Spatiotemporal outbreak dynamics showed an initial wave-like spread with high incidence during the invasion period followed by a drop of incidence and an increase in seroprevalence during the persistence period. Velocity of spread increased with time during the first year of outbreak and decreased linearly afterwards, being on average 7.6 km per quarter. Landscape- and individual-level analyses of infection risk indicate contrasting seasonal patterns. During the persistence period, infection risk on the landscape level was highest during autumn and winter seasons, probably related to spatial behaviour such as increased long-distance movements and contacts induced by rutting and escaping movements. In contrast, individual-level infection risk peaked in spring, probably related to the concurrent birth season leading to higher densities, and was significantly higher in piglets than in reproductive animals. Our findings highlight that it is important to investigate both individual- and landscape-level patterns of infection risk to understand long-term persistence of wildlife diseases and to guide respective management actions. Furthermore, we highlight that exploring different temporal aggregation of the data helps to reveal important seasonal patterns, which might be masked otherwise.}, language = {en} } @article{StillfriedFickelBoerneretal.2017, author = {Stillfried, Milena and Fickel, J{\"o}rns and B{\"o}rner, Konstantin and Wittstatt, Ulrich and Heddergott, Mike and Ortmann, Sylvia and Kramer-Schadt, Stephanie and Frantz, Alain C.}, title = {Do cities represent sources, sinks or isolated islands for urban wild boar population structure?}, series = {Journal of applied ecology : an official journal of the British Ecological Society}, volume = {54}, journal = {Journal of applied ecology : an official journal of the British Ecological Society}, number = {1}, publisher = {Wiley-Blackwell}, address = {Hoboken}, issn = {0021-8901}, doi = {10.1111/1365-2664.12756}, pages = {272 -- 281}, year = {2017}, language = {en} } @article{KramerSchadtNiedballaPilgrimetal.2013, author = {Kramer-Schadt, Stephanie and Niedballa, J{\"u}rgen and Pilgrim, John D. and Schr{\"o}der-Esselbach, Boris and Lindenborn, Jana and Reinfelder, Vanessa and Stillfried, Milena and Heckmann, Ilja and Scharf, Anne K. and Augeri, Dave M. and Cheyne, Susan M. and Hearn, Andrew J. and Ross, Joanna and Macdonald, David W. and Mathai, John and Eaton, James and Marshall, Andrew J. and Semiadi, Gono and Rustam, Rustam and Bernard, Henry and Alfred, Raymond and Samejima, Hiromitsu and Duckworth, J. W. and Breitenmoser-Wuersten, Christine and Belant, Jerrold L. and Hofer, Heribert and Wilting, Andreas}, title = {The importance of correcting for sampling bias in MaxEnt species distribution models}, series = {Diversity \& distributions : a journal of biological invasions and biodiversity}, volume = {19}, journal = {Diversity \& distributions : a journal of biological invasions and biodiversity}, number = {11}, publisher = {Wiley-Blackwell}, address = {Hoboken}, issn = {1366-9516}, doi = {10.1111/ddi.12096}, pages = {1366 -- 1379}, year = {2013}, abstract = {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.}, language = {en} } @article{RadchukReedTeplitskyetal.2019, author = {Radchuk, Viktoriia and Reed, Thomas and Teplitsky, Celine and van de Pol, Martijn and Charmantier, Anne and Hassall, Christopher and Adamik, Peter and Adriaensen, Frank and Ahola, Markus P. and Arcese, Peter and Miguel Aviles, Jesus and Balbontin, Javier and Berg, Karl S. and Borras, Antoni and Burthe, Sarah and Clobert, Jean and Dehnhard, Nina and de Lope, Florentino and Dhondt, Andre A. and Dingemanse, Niels J. and Doi, Hideyuki and Eeva, Tapio and Fickel, J{\"o}rns and Filella, Iolanda and Fossoy, Frode and Goodenough, Anne E. and Hall, Stephen J. G. and Hansson, Bengt and Harris, Michael and Hasselquist, Dennis and Hickler, Thomas and Jasmin Radha, Jasmin and Kharouba, Heather and Gabriel Martinez, Juan and Mihoub, Jean-Baptiste and Mills, James A. and Molina-Morales, Mercedes and Moksnes, Arne and Ozgul, Arpat and Parejo, Deseada and Pilard, Philippe and Poisbleau, Maud and Rousset, Francois and R{\"o}del, Mark-Oliver and Scott, David and Carlos Senar, Juan and Stefanescu, Constanti and Stokke, Bard G. and Kusano, Tamotsu and Tarka, Maja and Tarwater, Corey E. and Thonicke, Kirsten and Thorley, Jack and Wilting, Andreas and Tryjanowski, Piotr and Merila, Juha and Sheldon, Ben C. and Moller, Anders Pape and Matthysen, Erik and Janzen, Fredric and Dobson, F. Stephen and Visser, Marcel E. and Beissinger, Steven R. and Courtiol, Alexandre and Kramer-Schadt, Stephanie}, title = {Adaptive responses of animals to climate change are most likely insufficient}, series = {Nature Communications}, volume = {10}, journal = {Nature Communications}, publisher = {Nature Publ. Group}, address = {London}, issn = {2041-1723}, doi = {10.1038/s41467-019-10924-4}, pages = {14}, year = {2019}, abstract = {Biological responses to climate change have been widely documented across taxa and regions, but it remains unclear whether species are maintaining a good match between phenotype and environment, i.e. whether observed trait changes are adaptive. Here we reviewed 10,090 abstracts and extracted data from 71 studies reported in 58 relevant publications, to assess quantitatively whether phenotypic trait changes associated with climate change are adaptive in animals. A meta-analysis focussing on birds, the taxon best represented in our dataset, suggests that global warming has not systematically affected morphological traits, but has advanced phenological traits. We demonstrate that these advances are adaptive for some species, but imperfect as evidenced by the observed consistent selection for earlier timing. Application of a theoretical model indicates that the evolutionary load imposed by incomplete adaptive responses to ongoing climate change may already be threatening the persistence of species.}, language = {en} } @article{GrimmRevillaGroeneveldetal.2005, author = {Grimm, Volker and Revilla, Eloy and Groeneveld, J{\"u}rgen and Kramer-Schadt, Stephanie and Schwager, Monika and Tews, J{\"o}rg and Wichmann, Matthias and Jeltsch, Florian}, title = {Importance of buffer mechanisms for population viability analysis}, year = {2005}, language = {en} } @article{DalleauKramerSchadtGangatetal.2019, author = {Dalleau, Mayeul and Kramer-Schadt, Stephanie and Gangat, Yassine and Bourjea, Jerome and Lajoie, Gilles and Grimm, Volker}, title = {Modeling the emergence of migratory corridors and foraging hot spots of the green sea turtle}, series = {Ecology and evolution}, volume = {9}, journal = {Ecology and evolution}, number = {18}, publisher = {Wiley}, address = {Hoboken}, issn = {2045-7758}, doi = {10.1002/ece3.5552}, pages = {10317 -- 10342}, year = {2019}, abstract = {Environmental factors shape the spatial distribution and dynamics of populations. Understanding how these factors interact with movement behavior is critical for efficient conservation, in particular for migratory species. Adult female green sea turtles, Chelonia mydas, migrate between foraging and nesting sites that are generally separated by thousands of kilometers. As an emblematic endangered species, green turtles have been intensively studied, with a focus on nesting, migration, and foraging. Nevertheless, few attempts integrated these behaviors and their trade-offs by considering the spatial configurations of foraging and nesting grounds as well as environmental heterogeneity like oceanic currents and food distribution. We developed an individual-based model to investigate the impact of local environmental conditions on emerging migratory corridors and reproductive output and to thereby identify conservation priority sites. The model integrates movement, nesting, and foraging behavior. Despite being largely conceptual, the model captured realistic movement patterns which confirm field studies. The spatial distribution of migratory corridors and foraging hot spots was mostly constrained by features of the regional landscape, such as nesting site locations, distribution of feeding patches, and oceanic currents. These constraints also explained the mixing patterns in regional forager communities. By implementing alternative decision strategies of the turtles, we found that foraging site fidelity and nesting investment, two characteristics of green turtles' biology, are favorable strategies under unpredictable environmental conditions affecting their habitats. Based on our results, we propose specific guidelines for the regional conservation of green turtles as well as future research suggestions advancing spatial ecology of sea turtles. Being implemented in an easy to learn open-source software, our model can coevolve with the collection and analysis of new data on energy budget and movement into a generic tool for sea turtle research and conservation. Our modeling approach could also be useful for supporting the conservation of other migratory marine animals.}, language = {en} } @article{RadchukDeLaenderCabraletal.2019, author = {Radchuk, Viktoriia and De Laender, Frederik and Cabral, Juliano Sarmento and Boulangeat, Isabelle and Crawford, Michael Scott and Bohn, Friedrich and De Raedt, Jonathan and Scherer, Cedric and Svenning, Jens-Christian and Thonicke, Kirsten and Schurr, Frank M. and Grimm, Volker and Kramer-Schadt, Stephanie}, title = {The dimensionality of stability depends on disturbance type}, series = {Ecology letters}, volume = {22}, journal = {Ecology letters}, number = {4}, publisher = {Wiley}, address = {Hoboken}, issn = {1461-023X}, doi = {10.1111/ele.13226}, pages = {674 -- 684}, year = {2019}, abstract = {Ecosystems respond in various ways to disturbances. Quantifying ecological stability therefore requires inspecting multiple stability properties, such as resistance, recovery, persistence and invariability. Correlations among these properties can reduce the dimensionality of stability, simplifying the study of environmental effects on ecosystems. A key question is how the kind of disturbance affects these correlations. We here investigated the effect of three disturbance types (random, species-specific, local) applied at four intensity levels, on the dimensionality of stability at the population and community level. We used previously parameterized models that represent five natural communities, varying in species richness and the number of trophic levels. We found that disturbance type but not intensity affected the dimensionality of stability and only at the population level. The dimensionality of stability also varied greatly among species and communities. Therefore, studying stability cannot be simplified to using a single metric and multi-dimensional assessments are still to be recommended.}, language = {en} } @misc{RadchukKramerSchadtGrimm2019, author = {Radchuk, Viktoriia and Kramer-Schadt, Stephanie and Grimm, Volker}, title = {Transferability of mechanistic ecological models is about emergence}, series = {Trends in ecology and evolution}, volume = {34}, journal = {Trends in ecology and evolution}, number = {6}, publisher = {Elsevier}, address = {London}, issn = {0169-5347}, doi = {10.1016/j.tree.2019.01.010}, pages = {487 -- 488}, year = {2019}, language = {en} }