CCE banner
 
Funded Research

Linking remotely sensed optical diversity to genetic, phylogenetic and functional diversity to predict ecosystem processes

Cavender-Bares, Jeannine: University of Minnesota (Project Lead)

Project Funding: 2013 - 2018

NRA: 2013 NSF   

Funded by Other US Funding: NSF Project managed by Woody Turner, NASA

Abstract:
This project will use three biodiversity manipulations at the Cedar Creek Ecosystem Science Reserve to test whether plant diversity (including genotypes within species, species with different functions, and species from different evolutionary lineages) can be detected remotely at multiple spatial scales. The study will measure biodiversity from the sky and space by remotely sensing the reflected light spectra of plants and investigate the consequences of biodiversity for ecosystem and global processes. Project scientists from four institutions will investigate linkages between plant biodiversity, soil microbe diversity and ecosystem function. These efforts will serve in the development of airborne and satellite platforms that can routinely monitor biodiversity and provide critical experimental evidence for the concept of surrogacy, i.e., that one metric of biodiversity can be used to provide information about others. The project will transform methods for detecting changes in biodiversity worldwide and will provide numerous training opportunities in science, technology and math (STEM) for young scientists. Results will be integrated into the Cedar Creek Schoolyard Ecology program and a NASA-funded STEM Education Center to train Native American reservation teachers. Citizen scientists will be engaged through the MN Phenology Network. Data and research outcomes will be archived in publically accessible data repositories.

Publications:

.Krug, C. B., Schaepman, M. E., Shannon, L. J., Cavender-Bares, J., Cheung, W., McIntyre, P. B., Metzger, J. P., Niinemets, U., Obura, D. O., Schmid, B., Strassburg, B. B., Van Teeffelen, A. J., Weyl, O. L., Yasuhara, M., Leadley, P. W. 2017. Observations, indicators and scenarios of biodiversity and ecosystem services change -- a framework to support policy and decision-making. Current Opinion in Environmental Sustainability. 29, 198-206. DOI: 10.1016/j.cosust.2018.04.001

Cavender-Bares, J., Ackerly, D. D., Hobbie, S. E., Townsend, P. A. 2016. Evolutionary Legacy Effects on Ecosystems: Biogeographic Origins, Plant Traits, and Implications for Management in the Era of Global Change. Annual Review of Ecology, Evolution, and Systematics. 47(1), 433-462. DOI: 10.1146/annurev-ecolsys-121415-032229

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. DOI: 10.3732/ajb.1700061

Cavender-Bares, J., Meireles, J., Couture, J., Kaproth, M., Kingdon, C., Singh, A., Serbin, S., Center, A., Zuniga, E., Pilz, G., Townsend, P. 2016. Associations of Leaf Spectra with Genetic and Phylogenetic Variation in Oaks: Prospects for Remote Detection of Biodiversity. Remote Sensing. 8(3), 221. DOI: 10.3390/rs8030221

Cline, L. C., Hobbie, S. E., Madritch, M. D., Buyarski, C. R., Tilman, D., Cavender-Bares, J. M. 2017. Resource availability underlies the plant-fungal diversity relationship in a grassland ecosystem. Ecology. 99(1), 204-216. DOI: 10.1002/ecy.2075

Cotrozzi, L., Couture, J. J., Cavender-Bares, J., Kingdon, C. C., Fallon, B., Pilz, G., Pellegrini, E., Nali, C., Townsend, P. A. 2017. Using foliar spectral properties to assess the effects of drought on plant water potential. Tree Physiology. 37(11), 1582-1591. DOI: 10.1093/treephys/tpx106

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 (Populusxsmithii). American Journal of Botany. 104(12), 1878-1890. DOI: 10.3732/ajb.1700268

Gholizadeh, H., Gamon, J. A., Townsend, P. A., Zygielbaum, A. I., Helzer, C. J., 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. DOI: 10.1016/j.rse.2018.10.037

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 a-diversity (species richness) in prairie ecosystems. Remote Sensing of Environment. 206, 240-253. DOI: 10.1016/j.rse.2017.12.014

Grossman, J. J., Vanhellemont, M., Barsoum, N., Bauhus, J., Bruelheide, H., Castagneyrol, B., Cavender-Bares, J., Eisenhauer, N., Ferlian, O., Gravel, D., Hector, A., Jactel, H., Kreft, H., Mereu, S., Messier, C., Muys, B., Nock, C., Paquette, A., Parker, J., Perring, M. P., Ponette, Q., Reich, P. B., Schuldt, A., Staab, M., Weih, M., Zemp, D. C., Scherer-Lorenzen, M., Verheyen, K. 2018. Synthesis and future research directions linking tree diversity to growth, survival, and damage in a global network of tree diversity experiments. Environmental and Experimental Botany. 152, 68-89. DOI: 10.1016/j.envexpbot.2017.12.015

Jetz, W., Cavender-Bares, J., Pavlick, R., Schimel, D., Davis, F. W., Asner, G. P., Guralnick, R., Kattge, J., Latimer, A. M., Moorcroft, P., Schaepman, M. E., Schildhauer, M. P., Schneider, F. D., Schrodt, F., Stahl, U., Ustin, S. L. 2016. Erratum: Monitoring plant functional diversity from space. Nature Plants. 2(1). DOI: 10.1038/nplants.2016.39

Kothari, S., Cavender-Bares, J., Bitan, K., Verhoeven, A. S., Wang, R., Montgomery, R. A., Gamon, J. A. 2018. Community-wide consequences of variation in photoprotective physiology among prairie plants. Photosynthetica. 56(SPECIAL ISSUE), 455-467. DOI: 10.1007/s11099-018-0777-9

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 & Evolution. 2(6), 976-982. DOI: 10.1038/s41559-018-0551-1

Stavros, E. N., Schimel, D., Pavlick, R., Serbin, S., Swann, A., Duncanson, L., Fisher, J. B., Fassnacht, F., Ustin, S., Dubayah, R., Schweiger, A., Wennberg, P. 2017. ISS observations offer insights into plant function. Nature Ecology & Evolution. 1(7). DOI: 10.1038/s41559-017-0194

Wang, R., Gamon, J. A., Cavender-Bares, J., Townsend, P. A., Zygielbaum, A. I. 2018. The spatial sensitivity of the spectral diversity-biodiversity relationship: an experimental test in a prairie grassland. Ecological Applications. 28(2), 541-556. DOI: 10.1002/eap.1669

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. DOI: 10.1016/j.rse.2018.04.010

Wang, R., Gamon, J., Emmerton, C., Li, H., Nestola, E., Pastorello, G., Menzer, O. 2016. Integrated Analysis of Productivity and Biodiversity in a Southern Alberta Prairie. Remote Sensing. 8(3), 214. DOI: 10.3390/rs8030214

Wang, R., Gamon, J., Montgomery, R., Townsend, P., Zygielbaum, A., Bitan, K., Tilman, D., Cavender-Bares, J. 2016. Seasonal Variation in the NDVI-Species Richness Relationship in a Prairie Grassland Experiment (Cedar Creek). Remote Sensing. 8(2), 128. DOI: 10.3390/rs8020128

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. DOI: 10.1016/j.rse.2018.11.016

Yamasaki, E., Altermatt, F., Cavender-Bares, J., Schuman, M. C., Zuppinger-Dingley, D., Garonna, I., Schneider, F. D., Guillen-Escriba, C., van Moorsel, S. J., Hahl, T., Schmid, B., Schaepman-Strub, G., Schaepman, M. E., Shimizu, K. K. 2017. Genomics meets remote sensing in global change studies: monitoring and predicting phenology, evolution and biodiversity. Current Opinion in Environmental Sustainability. 29, 177-186. DOI: 10.1016/j.cosust.2018.03.005


More details may be found in the following project profile(s):