Monitoring plant functional diversity from space

The world’s ecosystems are losing biodiversity fast. A satellite mission designed to track changes in plant functional diversity around the globe could deepen our understanding of the pace and consequences of this change and how to manage it.

[1]  Govindjee,et al.  Two Forms of Chlorophyll a in vivo with Distinct Photochemical Functions , 1960, Science.

[2]  S. Goldhor Ecology , 1964, The Yale Journal of Biology and Medicine.

[3]  Wilber Simmons,et al.  Integrating , 1978 .

[4]  John F. Muratore,et al.  Nitrogen and Lignin Control of Hardwood Leaf Litter Decomposition Dynamics , 1982 .

[5]  B. Demmig‐Adams,et al.  Regulation of Photosynthetic Light Energy Capture, Conversion, and Dissipation in Leaves of Higher Plants , 1994 .

[6]  Ernst-Detlef Schulze,et al.  Ecophysiology of Photosynthesis , 1995, Springer Study Edition.

[7]  R. Loomis On the utility of nitrogen in leaves. , 1997, Proceedings of the National Academy of Sciences of the United States of America.

[8]  P. Reich,et al.  From tropics to tundra: global convergence in plant functioning. , 1997, Proceedings of the National Academy of Sciences of the United States of America.

[9]  Mary E. Martin,et al.  HIGH SPECTRAL RESOLUTION REMOTE SENSING OF FOREST CANOPY LIGNIN, NITROGEN, AND ECOSYSTEM PROCESSES , 1997 .

[10]  A. Gitelson,et al.  Remote estimation of chlorophyll content in higher plant leaves , 1997 .

[11]  Frédéric Baret,et al.  On spectral estimates of fresh leaf biochemistry , 1998 .

[12]  Peter B. Reich,et al.  Leaf structure (specific leaf area) modulates photosynthesis–nitrogen relations: evidence from within and across species and functional groups , 1998 .

[13]  B. Grimm Chlorophyll: Structure and Function , 2001 .

[14]  Kevin J. Gaston,et al.  Functional diversity (FD), species richness and community composition , 2002 .

[15]  J. Peñuelas,et al.  Remote sensing of nitrogen and lignin in Mediterranean vegetation from AVIRIS data: Decomposing biochemical from structural signals , 2002 .

[16]  F. Meinzer Functional convergence in plant responses to the environment , 2002, Oecologia.

[17]  P. Reich,et al.  The Evolution of Plant Functional Variation: Traits, Spectra, and Strategies , 2003, International Journal of Plant Sciences.

[18]  Yann Kerr,et al.  International Geoscience and Remote Sensing Symposium (IGARSS) , 2004 .

[19]  J. R. Evans Photosynthesis and nitrogen relationships in leaves of C3 plants , 2004, Oecologia.

[20]  Sean C. Thomas,et al.  The worldwide leaf economics spectrum , 2004, Nature.

[21]  A. Gelfand,et al.  Modelling species diversity through species level hierarchical modelling , 2005 .

[22]  Pablo J. Zarco-Tejada,et al.  Estimation of fuel moisture content by inversion of radiative transfer models to simulate equivalent water thickness and dry matter content: analysis at leaf and canopy level , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[23]  William F. Fagan,et al.  Phylogenetic and Growth Form Variation in the Scaling of Nitrogen and Phosphorus in the Seed Plants , 2006, The American Naturalist.

[24]  U. Benz,et al.  The EnMAP hyperspectral imager—An advanced optical payload for future applications in Earth observation programmes , 2006 .

[25]  W. W. Adams,et al.  Photoprotection in an ecological context: the remarkable complexity of thermal energy dissipation. , 2006, The New phytologist.

[26]  David Lodge,et al.  Habitat loss, trophic collapse, and the decline of ecosystem services. , 2006, Ecology.

[27]  W. Jetz,et al.  Global patterns and determinants of vascular plant diversity , 2007, Proceedings of the National Academy of Sciences.

[28]  S. Ollinger,et al.  A generalizable method for remote sensing of canopy nitrogen across a wide range of forest ecosystems , 2008 .

[29]  C. Still,et al.  Climate, phylogeny and the ecological distribution of C4 grasses. , 2008, Ecology letters.

[30]  H. Mooney,et al.  Toward a Global Biodiversity Observing System , 2008, Science.

[31]  H. Owen,et al.  New Phytol , 2008 .

[32]  M. Ball,et al.  Non-destructive measurement of chlorophyll b : a ratios and identification of photosynthetic pathways in grasses by reflectance spectroscopy. , 2009, Functional plant biology : FPB.

[33]  Shunlin Liang,et al.  Earth system science related imaging spectroscopy — an assessment , 2009 .

[34]  Michael E. Schaepman,et al.  Retrieval of foliar information about plant pigment systems from high resolution spectroscopy , 2009 .

[35]  R. Rosenfeld Nature , 2009, Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery.

[36]  Roberta E. Martin,et al.  Airborne spectranomics: mapping canopy chemical and taxonomic diversity in tropical forests , 2009 .

[37]  C. Ballaré,et al.  Dual role of lignin in plant litter decomposition in terrestrial ecosystems , 2010, Proceedings of the National Academy of Sciences.

[38]  Wouter Dorigo,et al.  Applying different inversion techniques to retrieve stand variables of summer barley with PROSPECT + SAIL , 2010, Int. J. Appl. Earth Obs. Geoinformation.

[39]  Patricia Balvanera,et al.  Plant diversity enhances provision of ecosystem services: A new synthesis , 2010 .

[40]  Kelly A. Carscadden,et al.  Beyond species: functional diversity and the maintenance of ecological processes and services , 2011 .

[41]  Zvy Dubinsky,et al.  Coral reefs : an ecosystem in transition , 2011 .

[42]  S. Higgins,et al.  TRY – a global database of plant traits , 2011, Global Change Biology.

[43]  Eric J. Hochberg,et al.  Remote Sensing of Coral Reef Processes , 2011 .

[44]  Akira Iwasaki,et al.  Hyperspectral Imager Suite (HISUI) -Japanese hyper-multi spectral radiometer , 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

[45]  Shahid Naeem,et al.  Functional and phylogenetic diversity as predictors of biodiversity--ecosystem-function relationships. , 2011, Ecology.

[46]  G. Daily,et al.  Biodiversity loss and its impact on humanity , 2012, Nature.

[47]  Simon J. Hook,et al.  Global cloud cover for assessment of optical satellite observation opportunities: A HyspIRI case study , 2012 .

[48]  R. Green,et al.  The HYSPIRI Decadal Survey Mission: Update on the Mission Concept and Science Objectives for Global Imaging Spectroscopy and Multi-Spectral Thermal Measurements , 2012 .

[49]  Henrique M. Pereira,et al.  Global Biodiversity Change: The Bad, the Good, and the Unknown , 2012 .

[50]  J. Cavender-Bares,et al.  Integrating ecology and phylogenetics: the footprint of history in modern‐day communities1 , 2012 .

[51]  Philip Lewis,et al.  Hyperspectral remote sensing of foliar nitrogen content , 2012, Proceedings of the National Academy of Sciences.

[52]  Roberta E. Martin,et al.  Carnegie Airborne Observatory-2: Increasing science data dimensionality via high-fidelity multi-sensor fusion , 2012 .

[53]  Walter Jetz,et al.  Integrating biodiversity distribution knowledge: toward a global map of life. , 2012, Trends in ecology & evolution.

[54]  Gregory P. Asner,et al.  Observing Changing Ecological Diversity in the Anthropocene , 2013 .

[55]  Uta Heiden,et al.  Overview of terrestrial imaging spectroscopy missions , 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

[56]  Simon Scheiter,et al.  Next-generation dynamic global vegetation models: learning from community ecology. , 2013, The New phytologist.

[57]  T. Moisan,et al.  Algorithm development for predicting biodiversity based on phytoplankton absorption , 2013 .

[58]  W. Jetz,et al.  Downscaling of species distribution models: 
a hierarchical approach , 2013 .

[59]  N. Pettorelli,et al.  Essential Biodiversity Variables , 2013, Science.

[60]  Reinhard Furrer,et al.  Spatial relationship between climatologies and changes in global vegetation activity , 2013, Global change biology.

[61]  M. Schaepman,et al.  Review of optical-based remote sensing for plant trait mapping , 2013 .

[62]  M. Schaepman,et al.  Fusion of imaging spectroscopy and airborne laser scanning data for characterization of forest ecosystems – A review , 2014 .

[63]  W. Turner Sensing biodiversity , 2014, Science.

[64]  Nathan G. Swenson,et al.  Phylogenetic imputation of plant functional trait databases , 2014 .

[65]  F. Woodward,et al.  The relationship of leaf photosynthetic traits – Vcmax and Jmax – to leaf nitrogen, leaf phosphorus, and specific leaf area: a meta-analysis and modeling study , 2014, Ecology and evolution.

[66]  David C. Tank,et al.  Three keys to the radiation of angiosperms into freezing environments , 2013, Nature.

[67]  Jens Kattge,et al.  The emergence and promise of functional biogeography , 2014, Proceedings of the National Academy of Sciences.

[68]  H. D. Cooper,et al.  A mid-term analysis of progress toward international biodiversity targets , 2014, Science.

[69]  A. Hector,et al.  Drought survival of tropical tree seedlings enhanced by non-structural carbohydrate levels , 2014 .

[70]  Roberta E. Martin,et al.  Amazonian functional diversity from forest canopy chemical assembly , 2014, Proceedings of the National Academy of Sciences.

[71]  Matthew W. Pennell,et al.  Functional distinctiveness of major plant lineages , 2014 .

[72]  C. A. Mücher,et al.  Environmental science: Agree on biodiversity metrics to track from space , 2015, Nature.

[73]  Anuj Karpatne,et al.  BHPMF – a hierarchical Bayesian approach to gap-filling and trait prediction for macroecology and functional biogeography , 2015 .

[74]  D. Roberts,et al.  Differentiating plant species within and across diverse ecosystems with imaging spectroscopy , 2015 .

[75]  C. Giardino,et al.  Measuring freshwater aquatic ecosystems: The need for a hyperspectral global mapping satellite mission , 2015 .

[76]  C. Peng,et al.  From plant functional types to plant functional traits , 2015 .

[77]  W. Jetz,et al.  On the decline of biodiversity due to area loss , 2015, Nature Communications.

[78]  Gregory Asner,et al.  Spectroscopic Remote Sensing of Non-Structural Carbohydrates in Forest Canopies , 2015, Remote. Sens..

[79]  Stanley T. Asah,et al.  The IPBES Conceptual Framework - connecting nature and people , 2015 .

[80]  K. Itten,et al.  Advanced radiometry measurements and Earth science applications with the Airborne Prism Experiment (APEX) , 2015 .

[81]  Walter Jetz,et al.  Towards a general framework for predicting threat status of data-deficient species from phylogenetic, spatial and environmental information , 2015, Philosophical Transactions of the Royal Society B: Biological Sciences.

[82]  M. Kelly,et al.  Prospective HyspIRI global observations of tidal wetlands , 2015 .

[83]  Raphael M. Kudela,et al.  Remote sensing of phytoplankton functional types in the coastal ocean from the HyspIRI Preparatory Flight Campaign , 2015 .

[84]  Roberta E. Martin,et al.  Quantifying forest canopy traits: Imaging spectroscopy versus field survey , 2015 .

[85]  P. Cox,et al.  Observing terrestrial ecosystems and the carbon cycle from space , 2015, Global change biology.

[86]  Brody Sandel,et al.  Estimating themissing species bias in plant trait measurements , 2015 .

[87]  Clayton C. Kingdon,et al.  Imaging spectroscopy algorithms for mapping canopy foliar chemical and morphological traits and their uncertainties. , 2015, Ecological applications : a publication of the Ecological Society of America.

[88]  Peter Haase,et al.  Bridging the gap between biodiversity data and policy reporting needs: An Essential Biodiversity Variables perspective , 2016 .

[89]  Clayton C. Kingdon,et al.  Spectroscopic determination of leaf morphological and biochemical traits for northern temperate and boreal tree species. , 2014, Ecological applications : a publication of the Ecological Society of America.

[90]  D. Coates,et al.  Strategic Plan for Biodiversity (2011–2020) and the Aichi Biodiversity Targets , 2016 .

[91]  L. Christophorou Science , 2018, Emerging Dynamics: Science, Energy, Society and Values.