CV-sida

Jonas Knape

Jonas Knape
I'm working with the application and development of statistical methods to analyze ecological data. My main research interests are - Statistical methodology for analysis of population data - Demographic and life-history analyses - Computational statistical inference techniques

Forskning

- Generalized Additive Mixed Models (GAMM) for estimating trends in Swedish bird populations - Long term dynamics of seed production and predation in a swallow wort population - with Christer Solbreck - Investigating relationsships between laying dates and reproduction in northern wheatears - with Tomas Pärt, Debora Arlt and Matt Low - Exploring methods for inferring phenology from bird counts – with Andreas Lindén and Kalle Meller - Occupancy modelling of citizen science data for estimating trends in distribution of wetland birds - with Alejandro Ruete, Tomas Pärt and Åke Berg - Using information about growth rates in state space models of population dynamics - with Martin Sköld

Publikationer i urval

If you are interested in a pdf of a paper, send me an email. Knape, J. 2016. Decomposing trends in Swedish bird populations using generalized additive mixed models. Journal of Applied Ecology in press. Lindén, A., Meller, K. and Knape, J. 2016. An empirical comparison of models for the phenology of bird migration. Journal of Avian Biology in press. Knape, J. and Korner-Nievergelt, F. 2016. On assumptions behind estimates of abundance from counts at multiple sites. Methods in Ecology and Evolution 7:206-209. Maňák, V., Björklund, N., Lenoir, L., Knape, J. and Nordlander, G. 2016. Behavioural responses of pine weevils to non-consumptive interactions with red wood ants. Journal of Zoology 299:10-16. Wikström, A., Knape, J., Casini, M., Gårdmark, A., Cardinale, M., Hjelm, J. and Jonzén, N. 2016. Fishing, reproductive volume and regulation: Population dynamics and exploitation of the eastern Baltic cod. Population Ecology 58:199-211. Knape, J. and de Valpine, P. 2016. Monte Carlo estimation of stage structured development from cohort data. Ecology 97:992-1002. Knape, J. and Korner-Nievergelt, F. 2016. On assumptions behind estimates of abundance from counts at multiple sites. Methods in Ecology and Evolution 7:206-209. Maňák, V., Björklund, N., Lenoir, L., Knape, J. and Nordlander, G. 2016. Behavioural responses of pine weevils to non-consumptive interactions with red wood ants. Journal of Zoology in press. Wikström, A., Knape, J., Casini, M., Gårdmark, A., Cardinale, M., Hjelm, J. and Jonzén, N. 2016. Fishing, reproductive volume and regulation: Population dynamics and exploitation of the eastern Baltic cod. Population Ecology 58:199-211. Knape, J. and Korner-Nievergelt, F. 2015. Estimates from non-replicated population surveys rely on critical assumptions. Methods in Ecology and Evolution 6:298–306. de Valpine, P. and Knape, J. 2014. Estimation of general multistage models from cohort data. JABES in press. de Valpine, P., Scranton, K., Knape, J., Ram, K. and Mills, N. J. 2014. The importance of individual developmental variation in stage-structured population models. Ecology Letters 17:1026-1038. Knape, J., Daane, K. M. and de Valpine, P. 2014. Estimation of stage duration distributions and mortality under repeated cohort censuses. Biometrics 70:346-355. Scranton, K., Knape, J. and de Valpine, P. 2014. An approximate Bayesian computation approach to parameter estimation in a stochastic stage structured population model. Ecology 95:1418-1428. Farrer, E. C., Ashton, I. W., Knape, J. and Suding, K. N. 2014. Separating direct and indirect effects of global change: a population dynamic modeling approach using readily available field data. Global Change Biology 20:1238-1250. Pertoldi, C., Faurby, S., Reed, D. H., Knape, J., Björklund, M., Lundberg, P., Kaitala, V., Loeschcke, V. and Bach, L. A. 2014. Scaling of the mean and variance of population dynamics under fluctuating regimes. Theory in Biosciences in press. Knape, J., Besbeas, P. T. and de Valpine, P. 2013. Using uncertainty estimates in analyses of population time series. Ecology 94:2097-2107. Eitzel, M. V., Battles, J., York, R., Knape, J. and de Valpine, P. 2013. Estimating tree growth models from complex forest monitoring data. Ecological Applications 23:1288-1296. Knape, J. and de Valpine, P. 2012. Fitting complex population models by combining particle filters with Markov chain Monte Carlo. Ecology 93:256-263. Knape, J. and de Valpine, P. 2012. Are patterns of density dependence in the Global Population Dynamics Database driven by uncertainty about population abundance? Ecology Letters 15:17-23. Knape, J., Jonzén, N. and Sköld, M. 2011. On observation distributions for state space models of population survey data. Journal of Animal Ecology 80:1269–1277. Knape, J. and de Valpine, P. 2011. Effects of weather and climate on the dynamics of animal population time series. Proceedings of the Royal Society B 278:985-992. Knape, J., Jonzén, N., Sköld, M., Kikkawa, J. and McCallum, H. 2011. Individual heterogeneity and senescence in Silvereyes on Heron Island. Ecology 92:813-830. Haas, F., Knape, J. and Brodin, A. 2010. Habitat preferences and positive assortative mating in an avian hybrid zone. Journal of Avian Biology 41:237-247. Sirkiä, S., Lindén, A., Helle, P., Nikula, A., Knape, J. and Lindén, H. 2010. Are the declining trends in forest grouse populations due to changes in the forest age structure? A case study of Capercaillie in Finland. Biological Conservation 143:1540-1548. Jonzén, N., Pople, T., Knape, J. and Sköld, M. 2010. Stochastic demography and population dynamics in the Red kangaroo (Macropus rufus). Journal of Animal Ecology 79:109-116. Knape, J., Jonzén, N., Sköld, M. and Sokolov, L. 2009. Multivariate state-space modelling of bird migration count data. In: Thomson, D. L., Cooch, E. G. and Conroy, M. J. (eds). Modeling Demographic Processes in Marked Populations. Environmental and Ecological Statistics Vol. 3. Springer, Berlin, pp 59-79. Lindén, A. and Knape, J. 2009. Estimating environmental effects on population dynamics. Oikos 118:675-680. Knape, J. 2008. Estimability of density dependence in models of time series data. Ecology 89:2994-3000. Knape, J., Sköld, M., Jonzén, N., Åkesson, M., Bensch, S., Hansson, B. and Hasselquist, D. 2008. An analysis of hatching success in the Great reed warbler Acrocephalus arundinaceus. Oikos 117:430-438. Knudsen, E., Lindén, A., Ergon, T., Jonzén, N.,Vik, J. O., Knape, J., Røer, J. E. and Stenseth, N. C. 2007. Characterizing bird migration phenology using data from standardized monitoring at bird observatories. Climate Research 35:59-77. Baltz, A., Hegart, P., Knape, J., Larsson, U. and Schoen, T. 2005. The structure of maximum subsets of {1,...n} with no solutions to a+b=kc. Electronic Journal of Combinatorics 12.

Kontaktinformation
Forskare FLK vid Institutionen för ekologi; Enheten för landskapsekologi
Telefon: 018-673423
Postadress:
Inst för Ekologi, Box 7044
750 07 UPPSALA
Besöksadress: Ulls Väg 16, Uppsala