PUBLICATIONS

Külling, N., Adde, A., Fopp, F., Schweiger, A.K., Broennimann, O., Rey, P.-L., Giuliani, G., Goicolea, T., Petitpierre, B., Zimmermann, N.E., Pellissier, L., Altermatt, F., Lehmann, A., Guisan, A., 2024. SWECO25: a cross-thematic raster database for ecological research in Switzerland. Scientific Data 11, 21. https://doi.org/10.1038/s41597-023-02899-1

Janzen J., Laliberté E., Carteron A., Beauchamp-Rioux R., Blanchard F., Crofts A., Girard A., Hacker P., Pardo J., Schweiger A.K., Demers-Thibeault S., Coops N, Kalacska M., Vellend M. & Bruneau A., 2023. Evolutionary history explains foliar spectral differences between mycorrhizal types. New Phytologist https://doi.org/10.1111/nph.18902 

Adde A., Rey P-L., Fopp F., Petitpierre B., Schweiger A.K., Broennimann O., Lehmann A., Zimmermann N.E., Altermatt F., Pellissier L. & Guisan A., 2023. Too many candidates: embedded covariate selection procedure for species distribution modelling with the covsel R package. Ecological Informatics 75, 102080. https://doi.org/10.1016/j.ecoinf.2023.102080 

Kothari S., Beauchamp-Rioux R., Blanchard F., Crofts A., Girard, A., Guilbeault-Mayers X., Hacker P., Pardo J., Schweiger A.K., Demers-Thibeault S., Bruneau A, Coops N., Kalacska M., Vellend M. & Laliberté E., 2023. Predicting leaf traits across functional groups using reflectance spectroscopy. New Phytolologist, 238: 549-566. https://doi.org/10.1111/nph.18713 

Kothari S. & Schweiger A.K., 2022. Grime review: Plant spectra as integrative measures of plant phenotypes. Journal of Ecology 00, 1– 19. https://doi.org/10.1111/1365-2745.13972 

Schweiger A.K. & Laliberté E., 2022. Plant beta-diversity across biomes captured by imaging spectroscopy. Nature Communications 13, 2767, https://doi.org/10.1038/s41467-022-30369-6  

Risch A.C., Page-Dumroese D.S., Schweiger A.K., Beattie J., Curran M.P., Finer L., Firn J.L., Hyslop M.D., Lembrechts, J., Schütz M., Wang W.W., Terry T.A. & Jurgensen M.F., 2022. Global controls of wood decomposition on and in forest soils. Frontiers in Forests and Global Change 5, https://doi.org/10.3389/ffgc.2022.829810 

Sapes G., Lapadat C., Schweiger A.K., Juzwik J., Montgomery R., Gholizadeh H., Townsend P.A., Gamon J.A. & Cavender-Bares J., 2022. Canopy spectral reflectance detects oak wilt decline at landscape scale using phylogenetic discrimination. Remote Sensing of Environment 273, 112961, https://doi.org/10.1016/j.rse.2022.112961   

Cavender-Bares J., Schweiger A.K., Townsend P.A., Gamon J.A., Madritch M.D., Gholizadeh H., Wang Z., Helzer K. & Hobbie S.E., 2022. Remotely detected aboveground plant function predicts belowground processes in two prairie diversity experiments. Ecological Monographs 00(00):e01488.  https://doi.org/10.1002/ecm.1488 

Schweiger A.K., Cavender-Bares J., Townsend P.A., Hobbie S.E., Madritch M.D., Grossman J.J., Gholizadeh H., Wang R. & Gamon J.A., 2021. Coupling spectral and resource-use complementarity in experimental grassland and forest communities. Proceedings of the Royal Society B: Biological Sciences, 288(1958):20211290. https://doi.org/10.1098/rspb.2021.1290 

Nagy R.C., Balch J.K; Bissell, E.K., Cattau M.E, Glenn N. F., Halpern B.S., Ilangakoon N., Johnson B., Joseph M.B, Marconi S., O’Riordan C., Sanovia J., Swetnam T.L., Travis W.R., Wasser L.A., Woolner E., Zarnetske P., Abdulrahim M., Adler J., Barnes G., Bartowitz J., Blake R.E., Bombaci S.P., Brun J., Buchanan J.D., Chadwick K.D., Chapman M.S., Chong S.S., Chung Y.A., Corman J.R., Schweiger A.K., et al., 2021. Harnessing the NEON data revolution to advance open environmental science with a diverse and data‐capable community. Ecosphere, 12(12):e03833. https://doi.org/10.1002/ecs2.3833 

Kitzes J., Blake R., Bombaci S.P., Chapman M., Duran S.M., Huang T., Joseph M.B., Lapp S., Marconi S., Oestreich W.K., Rhinehart T.A., Schweiger A.K., Song Y., Surasinghe T., Yang D. & Yule K., 2021. Expanding NEON biodiversity surveys with new instrumentation and machine learning approaches. Ecosphere 12(11):e03795-e03795. https://doi.org/10.1002/ecs2.3795  

Meireles J.E., O'Meara B., Schweiger A.K., Schrodt F., Singh A., Schaepman M., Asner G., Townsend P., Gamon J., Ustin S. & Cavender-Bares J., 2020. Leaf reflectance spectra capture the evolutionary history of seed plants. New Phytologist 228(2), 485-493. https://doi.org/10.1111/nph.16771 

Schweiger A.K., Lussier Desbiens A., Charron G., La Vigne H. & Laliberté E., 2020. Foliar sampling with a UAS reveals spectral and functional trait differences within tree crowns. Canadian Journal of Forest Research. https://doi.org/10.1139/cjfr-2019-0452   

Girard A., Schweiger A.K., Kalacska, M. & Laliberté E., 2020. Influence of nitrogen deposition on leaf functional traits and spectral properties of bog plants. Remote Sensing 12(15), 2448. https://doi.org/10.3390/rs12152448 

Laliberté E., Schweiger A.K. & Legendre P., 2020. Partitioning plant spectral diversity into alpha and beta components. Ecology Letters 23(2), 370-380. https://doi.org/10.1111/ele.13429 

Gholizadeh H., Gamon J.A., Townsend P.A., Zygielbaum A.I., Helzer J.C., Hmimina G.Y., Yu R., Moore R.M., Schweiger A.K. & Cavender-Bares J., 2019. Detecting prairie biodiversity with airborne remote sensing. Remote Sensing of Environment 221, 38-49. https://doi.org/10.1016/j.rse.2018.10.037 

Wang Z., Townsend P.A., Schweiger A.K., Couture J.J., Singh A., Hobbie S.E. & Cavender-Bares J., 2019. Mapping foliar functional traits and their uncertainties across three years in a grassland experiment. Remote Sensing of Environment 221, 405-416. https://doi.org/10.1016/j.rse.2018.11.016 

Schweiger A.K., Cavender-Bares J., Townsend P.A., Hobbie S.E., Madritch M.D., Wang R., Tilman D. & Gamon J.A., 2018. Plant spectral diversity integrates functional and phylogenetic components of biodiversity and predicts ecosystem function. Nature Ecology and Evolution. https://doi.org/10.1038/s41559-018-0551-1 

Wang R., Gamon J.A., Schweiger A.K., Cavender-Bares J., Townsend P.A., Zygielbaum A.I. & Kothari S., 2018. Influence of species richness, evenness, and composition on optical diversity: A simulation study. Remote Sensing of Environment 211, 218-228. https://doi.org/10.1016/j.rse.2018.04.010 

Gholizadeh H., Gamon J.A., Zygielbaum A.I., Wang R., Schweiger A.K. & Cavender-Bares J., 2018. Remote sensing of biodiversity: Soil correction and data dimension reduction methods improve assessment of α-diversity (species richness) in prairie ecosystems. Remote Sensing of Environment 206, 240-253. https://doi.org/10.1016/j.rse.2017.12.014 

Cavender-Bares J., Gamon J.A., Hobbie S.E., Madritch M.D., Meireles J.E., Schweiger A.K. & Townsend P.A., 2017. Harnessing plant spectra to integrate the biodiversity sciences across biological and spatial scales. American Journal of Botany 104(7), 966-969. https://doi.org/10.3732/ajb.1700061 

Deacon, N.J., Grossman, J.J., Schweiger A.K., Armour I. & Cavender-Bares J., 2017. Genetic, morphological, and spectral characterization of relictual Niobrara River hybrid aspens (Populus× smithii). American Journal of Botany 104(12), 1878-1890. https://doi.org/10.3732/ajb.1700268 

Stavros E.N., Schimel D., Pavlick R., Serbin S., Swann A., Duncanson L., Fisher J.B., Fassnacht F., Ustin S., Dubayah R., Schweiger A.K. & Wenneberg P., 2017. ISS observations offer insights into plant function. Nature Ecology and Evolution. https://doi.org/10.1038/s41559-017-0194 

Sachser F., Nopp-Mayr U., Zohmann M., Schweiger A.K., Grünschachner-Berger V. & Immitzer M., 2017. Searching the right tie—Expert-based vs. statistical niche modeling for habitat management at the alpine treeline ecotone. Ecological engineering 100, 107-119. https://doi.org/10.1016/j.ecoleng.2016.12.009 

Schweiger A.K., Schütz M., Risch A.C., Kneubühler M., Haller R. & Schaepman M.E., 2017. How to predict plant functional types using imaging spectroscopy: Linking vegetation community traits, plant functional types and spectral response. Methods in Ecology and Evolution 8(1), 86-95. https://doi.org/10.1111/2041-210X.12642 

Schweiger A.K., Schütz M., Anderwald P., Schaepman M.E., Kneubühler M., Haller R. & Risch A.C., 2015. Foraging ecology of three sympatric ungulate species - Behavioural and resource maps indicate differences between chamois, ibex and red deer. Movement Ecology 3, 6. https://doi.org/10.1186/s40462-015-0033-x   

Schweiger A.K., Risch A.C., Damm A., Kneubühler M., Haller R., Schaepman M.E. & Schütz M., 2015. Using imaging spectroscopy to predict above-ground plant biomass in alpine grasslands grazed by large ungulates. Journal of Vegetation Science 26:175-190. https://doi.org/10.1111/jvs.12214 

Anderwald P., Herfindal I., Haller R.M., Risch A.C., Schütz M., Schweiger A.K. & Filli, F., 2015. Influence of migratory ungulate management on competitive interactions with resident species in a protected area. Ecosphere 6(11), 1-18. https://doi.org/10.1890/ES15-00365.1 

Fatehi P., Damm A., Schweiger A.K., Schaepman M.E. & Kneubühler M., 2015. Mapping alpine aboveground biomass from imaging spectrometer data: a comparison of two approaches. IEEE JSTARS 8:3123-3139. https://doi.org/10.1109/JSTARS.2015.2432075 

Kneubühler M., Damm A., Schweiger A.K., Risch A.C., Schütz M. & Schaepman M.E., 2014. Continuous fields from imaging spectrometer data for ecosystem parameter mapping and their potential for animal habitat assessment in alpine regions. IEEE JSTARS 7:2600-2610. https://doi.org/10.1109/JSTARS.2014.2323574 

Kneubühler, M., Damm, A., Schweiger A.K., Fatehi, P. and Schaepman, M. E. (2013) Ecosystem parameter mapping in Swiss National Park based on a continuous fields approach. IGARSS IEEE, 2013,1774-1777. https://doi.org/10.110/IGARSS.2013.6723142  

Schweiger A.K., Nopp-Mayr U. & Zohmann M., 2012. Small-scale habitat use of black grouse (Tetrao tetrix L.) and rock ptarmigan (Lagopus muta helvetica Thienemann) in the Austrian Alps. European Journal of Wildlife Research 58:35-45. https://doi.org/10.1007/s10344-011-0537-7  

Schweiger A.K. 2020. Spectral field campaigns: Planning and data collection. In Remote Sensing of Plant Biodiversity (eds. Cavender-Bares J., Gamon J.A., Townsend P.A.), Springer International Publishing. https://doi.org/10.1007/978-3-030-33157-3_15 

Cavender-Bares J., Schweiger A.K., Pinto-Ledezma J. & Meireles J.M., 2020. Applying remote sensing to biodiversity science. In Remote Sensing of Plant Biodiversity (eds. Cavender-Bares J., Gamon J.A., Townsend P.A.), Springer International Publishing. https://doi.org/10.1007/978-3-030-33157-3_2