Automated Author ProfileFichtel, Claudia
Fichtel, Claudia
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 17.4 (sum of 19 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
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Datasets
<b>Abstract</b><br/>Home range estimation is routine practice in ecological research. While advances in animal tracking technology have increased our capacity to collect data to support home range analysis, these same advances have also resulted in increasingly autocorrelated data. Consequently, the question of which home range estimator to use on modern, highly autocorrelated tracking data remains open. This question is particularly relevant given that most estimators assume independently sampled data. Here, we provide a comprehensive evaluation of the effects of autocorrelation on home range estimation. We base our study on an extensive dataset of GPS locations from 369 individuals representing 27 species distributed across 5 continents. We first assemble a broad array of home range estimators, including Kernel Density Estimation (KDE) with four bandwidth optimizers (Gaussian reference function, autocorrelated-Gaussian reference function (AKDE), Silverman's rule of thumb, and least squares cross-validation), Minimum Convex Polygon, and Local Convex Hull methods. Notably, all of these estimators except AKDE assume independent and identically distributed (IID) data. We then employ half-sample cross-validation to objectively quantify estimator performance, and the recently introduced effective sample size for home range area estimation ($\hat{N}\mathrm{area}$) to quantify the information content of each dataset. We found that AKDE 95% area estimates were larger than conventional IID-based estimates by a mean factor of 2. The median number of cross-validated locations included in the holdout sets by AKDE 95% (or 50%) estimates was 95.3% (or 50.1%), confirming the larger AKDE ranges were appropriately selective at the specified quantile. Conversely, conventional estimates exhibited negative bias that increased with decreasing $\hat{N}\mathrm{area}$. To contextualize our empirical results, we performed a detailed simulation study to tease apart how sampling frequency, sampling duration, and the focal animal's movement conspire to affect range estimates. Paralleling our empirical results, the simulation study demonstrated that AKDE was generally more accurate than conventional methods, particularly for small $\hat{N}\mathrm{area}$. While 72% of the 369 empirical datasets had \textgreater1000 total observations, only 4% had an $\hat{N}\mathrm{area}$ \textgreater1000, where 30% had an $\hat{N}\mathrm{area}$ \textless30. In this frequently encountered scenario of small $\hat{N}\mathrm{area}$, AKDE was the only estimator capable of producing an accurate home range estimate on autocorrelated data.
Authors
- Noonan, Michael J. ;
- Tucker, Marlee A. ;
- Fleming, Christen H. ;
- Akre, Tom S. ;
- Alberts, Susan C. ;
- Ali, Abdullahi H. ;
- Altmann, Jeanne ;
- Antunes, Pamela C. ;
- Belant, Jerrold L. ;
- Beyer, Dean ;
- Blaum, Niels ;
- Böhning-Gaese, Katrin ;
- Cullen Jr., Laury ;
- De Paula Cunha, Rogerio ;
- Dekker, Jasja ;
- Drescher-Lehman, Jonathan ;
- Farwig, Nina ;
- Fichtel, Claudia ;
- Fischer, Christina ;
- Ford, Adam T. ;
- Goheen, Jacob R. ;
- Janssen, René ;
- Jeltsch, Florian ;
- Kauffman, Matthew ;
- Kappeler, Peter M. ;
- Koch, Flávia ;
- LaPoint, Scott ;
- Markham, A. Catherine ;
- Medici, Emilia Patricia ;
- Morato, Ronaldo G. ;
- Nathan, Ran ;
- Oliveira-Santos, Luiz Gustavo R. ;
- Olson, Kirk A. ;
- Patterson, Bruce D. ;
- Paviolo, Agustin ;
- Ramalho, Emiliano E. ;
- Rosner, Sascha ;
- Schabo, Dana G. ;
- Selva, Nuria ;
- Sergiel, Agnieszka ;
- Da Silva, Marina X. ;
- Spiegel, Orr ;
- Thompson, Peter ;
- Ullmann, Wiebke ;
- Zięba, Filip ;
- Zwijacz-Kozica, Tomasz ;
- Fagan, William F. ;
- Mueller, Thomas ;
- Calabrese, Justin M.
<b>Abstract</b><br/>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.
Authors
- Kane, Adam ;
- Tucker, Marlee A. ;
- Böhning-Gaese, Katrin ;
- Fagan, William F. ;
- Fryxell, John M. ;
- Van Moorter, Bram ;
- Alberts, Susan C. ;
- Ali, Abdullahi H. ;
- Allen, Andrew M. ;
- Attias, Nina ;
- Avgar, Tal ;
- Bartlam-Brooks, Hattie ;
- Bayarbaatar, Buuveibaatar ;
- Belant, Jerrold L. ;
- Bertassoni, Alessandra ;
- Beyer, Dean ;
- Bidner, Laura ;
- Van Beest, Floris M. ;
- Blake, Stephen ;
- Blaum, Niels ;
- Bracis, Chloe ;
- Brown, Danielle ;
- De Bruyn, P. J. Nico ;
- Cagnacci, Francesca ;
- Calabrese, Justin M. ;
- Camilo-Alves, Constança ;
- Chamaillé-Jammes, Simon ;
- Chiaradia, Andre ;
- Davidson, Sarah C. ;
- Dennis, Todd ;
- DeStefano, Stephen ;
- Diefenbach, Duane ;
- Douglas-Hamilton, Iain ;
- Fennessy, Julian ;
- Fichtel, Claudia ;
- Fiedler, Wolfgang ;
- Fischer, Christina ;
- Fischhoff, Ilya ;
- Fleming, Christen H. ;
- Ford, Adam T. ;
- Fritz, Susanne A. ;
- Gehr, Benedikt ;
- Goheen, Jacob R. ;
- Gurarie, Eliezer ;
- Hebblewhite, Mark ;
- Heurich, Marco ;
- Hewison, A. J. Mark ;
- Hof, Christian ;
- Hurme, Edward ;
- Isbell, Lynne A. ;
- Janssen, René ;
- Jeltsch, Florian ;
- Kaczensky, Petra ;
- Kappeler, Peter M. ;
- Kauffman, Matthew ;
- Kays, Roland ;
- Kimuyu, Duncan ;
- Koch, Flavia ;
- Kranstauber, Bart ;
- LaPoint, Scott ;
- Leimgruber, Peter ;
- Linnell, John D. C. ;
- López-López, Pascual ;
- Markham, A. Catherine ;
- Mattisson, Jenny ;
- Medici, Emilia Patricia ;
- Mellone, Ugo ;
- Merrill, Evelyn ;
- De Miranda Mourão, Guilherme ;
- Morato, Ronaldo G. ;
- Morellet, Nicolas ;
- Morrison, Thomas A. ;
- Díaz-Muñoz, Samuel L. ;
- Mysterud, Atle ;
- Nandintsetseg, Dejid ;
- Nathan, Ran ;
- Niamir, Aidin ;
- Odden, John ;
- O’Hara, Robert B. ;
- Oliveira-Santos, Luiz Gustavo R. ;
- Olson, Kirk A. ;
- Patterson, Bruce D. ;
- Cunha De Paula, Rogerio ;
- Pedrotti, Luca ;
- Reineking, Björn ;
- Rimmler, Martin ;
- Rogers, Tracey L. ;
- Rolandsen, Christer Moe ;
- Rosenberry, Christopher S. ;
- Rubenstein, Daniel I. ;
- Safi, Kamran ;
- Saïd, Sonia ;
- Sapir, Nir ;
- Sawyer, Hall ;
- Schmidt, Niels Martin ;
- Selva, Nuria ;
- Sergiel, Agnieszka ;
- Shiilegdamba, Enkhtuvshin ;
- Silva, João Paulo ;
- Singh, Navinder ;
- Solberg, Erling J. ;
- Spiegel, Orr ;
- Strand, Olav ;
- Sundaresan, Siva ;
- Ullmann, Wiebke ;
- Voigt, Ulrich ;
- Wall, Jake ;
- Wattles, David ;
- Wikelski, Martin ;
- Wilmers, Christopher C. ;
- Wilson, John W. ;
- Wittemyer, George ;
- Zięba, Filip ;
- Zwijacz-Kozica, Tomasz ;
- Mueller, Thomas
This archive contains the data and the R scripts for the analyses in the paper.
Authors
- Sperber, Anna Lucia ;
- Kappeler, Peter M. ;
- Fichtel, Claudia
This archive contains the data and the R scripts for the analyses in the paper.
Authors
- Sperber, Anna Lucia ;
- Kappeler, Peter M. ;
- Fichtel, Claudia
Data table on which analyses are based.
Authors
- Malsburg, Johanna Henke-Von Der ;
- Fichtel, Claudia
Data sheet with the data supporting the paper
Authors
- Huebner, Franziska ;
- Fichtel, Claudia ;
- Kappeler, Peter M.
Data table on which analyses are based.
Authors
- Malsburg, Johanna Henke-Von Der ;
- Fichtel, Claudia
Data table of open field and novel object tests.
Authors
- Malsburg, Johanna Henke-Von Der ;
- Fichtel, Claudia
Data table of open field and novel object tests.
Authors
- Malsburg, Johanna Henke-Von Der ;
- Fichtel, Claudia
No description available
Authors
- Noonan, Michael J. ;
- Tucker, Marlee ;
- Fleming, Christen H. ;
- Akre, Tom ;
- Alberts, Susan C. ;
- Ali, Abdullahi H. ;
- Altmann, Jeanne ;
- Castro Antunes, Pamela ;
- Belant, Jerrold L. ;
- Beyer, Dean ;
- Blaum, Niels ;
- Böhning-Gaese, Katrin ;
- Cullen Jr., Laury ;
- Cunha De Paula, Rogerio ;
- Dekker, Jasja ;
- Drescher-Lehman, Jonathan ;
- Farwig, Nina ;
- Fichtel, Claudia ;
- Fischer, Christina ;
- Ford, Adam ;
- Goheen, Jacob R. ;
- Janssen, René ;
- Jeltsch, Florian ;
- Kauffman, Matthew ;
- Kappeler, Peter M. ;
- Koch, Flávia ;
- LaPoint, Scott ;
- Markham, A. Catherine ;
- Medici, Emilia Patricia ;
- Morato, Ronaldo G. ;
- Nathan, Ran ;
- Oliveira-Santos, Luiz Gustavo R. ;
- Olson, Kirk A. ;
- Patterson, Bruce D. ;
- Paviolo, Agustin ;
- Ramalho, Emiliano E. ;
- Roesner, Sascha ;
- Schabo, Dana ;
- Selva, Nuria ;
- Sergiel, Agnieszka ;
- Da Silva, Marina X. ;
- Spiegel, Orr ;
- Thompson, Peter ;
- Ullmann, Wiebke ;
- Zięba, Filip ;
- Zwijacz-Kozica, Tomasz ;
- Fagan, William F. ;
- Mueller, Thomas ;
- Calabrese, Justin M.