Foliar optical traits indicate that sealed planting conditions negatively affect urban tree health
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Ben Somers | Olivier Honnay | Marc Saudreau | Kang Yu | B. Somers | G. Najjar | O. Honnay | M. Saudreau | Kang Yu | P. Castro | T. Améglio | P. Kastendeuch | Thierry Ameglio | J. Ngao | Tobias Ceulemans | Pierre Kastendeuch | Georges Najjar | Maarten Van Geel | Willem Geerts | Miguel Marcos Ramos | Nadine Sousa | Paula M.L. Castro | Jérôme Ngao | Tobias Ceulemans | N. Sousa | Maarten Van Geel | Willem Geerts | M. Ramos | K. Yu
[1] Ben Somers,et al. Urban tree health assessment using airborne hyperspectral and LiDAR imagery , 2018, Int. J. Appl. Earth Obs. Geoinformation.
[2] H. Pretzsch,et al. Climate change accelerates growth of urban trees in metropolises worldwide , 2017, Scientific Reports.
[3] John A. Silander,et al. Deciduous forest responses to temperature, precipitation, and drought imply complex climate change impacts , 2015, Proceedings of the National Academy of Sciences.
[4] Marco Heurich,et al. Understanding Forest Health with Remote Sensing -Part I - A Review of Spectral Traits, Processes and Remote-Sensing Characteristics , 2016, Remote. Sens..
[5] L. Poorter,et al. Causes and consequences of variation in leaf mass per area (LMA): a meta-analysis. , 2009, The New phytologist.
[6] N. Pettorelli,et al. Satellite remote sensing of ecosystem functions: opportunities, challenges and way forward , 2018 .
[7] D. Roberts,et al. Deriving Water Content of Chaparral Vegetation from AVIRIS Data , 2000 .
[8] Zuzana Lhotáková,et al. The Effect of Leaf Stacking on Leaf Reflectance and Vegetation Indices Measured by Contact Probe during the Season , 2017, Sensors.
[9] S. O. Link,et al. The effect of water stress on phenological and ecophysiological characteristics of cheatgrass and Sandberg's bluegrass , 1990 .
[10] D. Bates,et al. Fitting Linear Mixed-Effects Models Using lme4 , 2014, 1406.5823.
[11] Josep Peñuelas,et al. Photochemical Reflectance Index (PRI) for Detecting Responses of Diurnal and Seasonal Photosynthetic Activity to Experimental Drought and Warming in a Mediterranean Shrubland , 2017, Remote. Sens..
[12] S. Smoleń. Foliar Nutrition: Current State of Knowledge and Opportunities , 2012 .
[13] Rebecca Jordan,et al. Data quality in citizen science urban tree inventories , 2017 .
[14] J. Eitel,et al. Suitability of existing and novel spectral indices to remotely detect water stress in Populus spp. , 2006 .
[15] Russell V. Lenth,et al. Least-Squares Means: The R Package lsmeans , 2016 .
[16] Dar A. Roberts,et al. Mapping urban forest structure and function using hyperspectral imagery and lidar data , 2016 .
[17] Matthew P. Reynolds,et al. Association of water spectral indices with plant and soil water relations in contrasting wheat genotypes , 2010, Journal of experimental botany.
[18] A. Gitelson,et al. Plant Stress Detection by Reflectance and Fluorescence a , 1998 .
[19] Monica Granados,et al. Rising complexity and falling explanatory power in ecology , 2014 .
[20] J. Peñuelas,et al. Estimation of plant water concentration by the reflectance Water Index WI (R900/R970) , 1997 .
[21] J. Reynolds,et al. Do morphological changes mediate plant responses to water stress? A steady-state experiment with two C4 grasses. , 2002, The New phytologist.
[22] Abduwasit Ghulam,et al. Early Detection of Plant Physiological Responses to Different Levels of Water Stress Using Reflectance Spectroscopy , 2017, Remote. Sens..
[23] Ben Somers,et al. Hyperspectral Reflectance and Fluorescence Imaging to Detect Scab Induced Stress in Apple Leaves , 2009, Remote. Sens..
[24] Anke Jentsch,et al. Effects of extreme drought on specific leaf area of grassland species: A meta‐analysis of experimental studies in temperate and sub‐Mediterranean systems , 2017, Global change biology.
[25] R. Kjelgren,et al. Water as a Limiting Factor in the Development of Urban Trees , 1990 .
[26] E. Thomas Smiley,et al. Comparison of Structural and Noncompacted Soils for Trees Surrounded by Pavement , 2006, Arboriculture & Urban Forestry.
[27] Nina L. Bassuk,et al. A New Urban Tree Soil to Safely Increase Rooting Volumes Under Sidewalks , 1995, Arboriculture & Urban Forestry.
[28] K. Radoglou,et al. A review on the ecology and silviculture of limes (Tilia cordata Mill., Tilia platyphyllos Scop. and Tilia tomentosa Moench.) in Europe , 2009 .
[29] R. Strasser,et al. The fluorescence transient as a tool to characterize and screen photosynthetic samples , 2000 .
[30] J. Grabosky,et al. 20 years later: Does reduced soil area change overall tree growth? , 2014 .
[31] P. Bolund,et al. Ecosystem services in urban areas , 1999 .
[32] Rusong Wang,et al. Effect of soil sealing on the microbial biomass, N transformation and related enzyme activities at various depths of soils in urban area of Beijing, China , 2012, Journal of Soils and Sediments.
[33] D. Sims,et al. Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages , 2002 .
[34] Hendrik Poorter,et al. Leaf Mass per Area (LMA) and Its Relationship with Leaf Structure and Anatomy in 34 Mediterranean Woody Species along a Water Availability Gradient , 2016, PloS one.
[35] M. Farooq,et al. Plant drought stress: effects, mechanisms and management , 2011, Agronomy for Sustainable Development.
[36] Georg Bareth,et al. Investigation of Leaf Diseases and Estimation of Chlorophyll Concentration in Seven Barley Varieties Using Fluorescence and Hyperspectral Indices , 2013, Remote. Sens..
[37] S. Ollinger. Sources of variability in canopy reflectance and the convergent properties of plants. , 2011, The New phytologist.
[38] T. Svoray,et al. The effect of soil surface sealing on vegetation water uptake along a dry climatic gradient , 2015 .
[39] A. Okujeni,et al. Imaging Spectroscopy of Urban Environments , 2018, Surveys in Geophysics.
[40] I. Velcheva,et al. Assessment of the urban trees health status on the base of nutrient and pigment content in their leaves , 2014 .
[41] F. W. Wiegel,et al. Optimizing the Canopy Photosynthetic Rate by Patterns of Investment in Specific Leaf Mass , 1988, The American Naturalist.
[42] Fei Xu,et al. Leaf morphology correlates with water and light availability: What consequences for simple and compound leaves? , 2009 .
[43] Jia-bao Zhang,et al. Mechanisms for the relationships between water-use efficiency and carbon isotope composition and specific leaf area of maize (Zea mays L.) under water stress , 2015, Plant Growth Regulation.
[44] Byron B. Lamont,et al. Leaf specific mass confounds leaf density and thickness , 1991, Oecologia.
[45] A. Gitelson,et al. Non‐destructive optical detection of pigment changes during leaf senescence and fruit ripening , 1999 .
[46] William J. Emery,et al. Relations of remote sensing leaf water indices to leaf water thickness in cowpea, bean, and sugarbeet plants , 2008 .
[47] Shiwen Wang,et al. Carbon/Nitrogen Imbalance Associated with Drought-Induced Leaf Senescence in Sorghum bicolor , 2015, PloS one.
[48] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[49] B. Gao. NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space , 1996 .
[50] C. Buschmann. Variability and application of the chlorophyll fluorescence emission ratio red/far-red of leaves , 2007, Photosynthesis Research.
[51] C. Field,et al. A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency , 1992 .
[52] Patrizia Piro,et al. Hyperspectral Monitoring of Green Roof Vegetation Health State in Sub-Mediterranean Climate: Preliminary Results , 2017, Sensors.
[53] S. Frank,et al. Warming and drought combine to increase pest insect fitness on urban trees , 2017, PloS one.
[54] Michael E. Schaepman,et al. Retrieval of foliar information about plant pigment systems from high resolution spectroscopy , 2009 .
[55] A. Srivastava,et al. POLYPHASIC CHLOROPHYLL a FLUORESCENCE TRANSIENT IN PLANTS AND CYANOBACTERIA * , 1995 .
[56] Josep Peñuelas,et al. Alteration of the phenology of leaf senescence and fall in winter deciduous species by climate change: effects on nutrient proficiency , 2015, Global change biology.
[57] Yuri A. Gritz,et al. Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves. , 2003, Journal of plant physiology.
[58] K. Thompson,et al. Specific leaf area and leaf dry matter content as alternative predictors of plant strategies , 1999 .
[59] R. Samson,et al. Assessing urban habitat quality using spectral characteristics of Tilia leaves. , 2013, Environmental pollution.
[60] P. Charzyński,et al. The impact of the soil sealing degree on microbial biomass, enzymatic activity, and physicochemical properties in the Ekranic Technosols of Toruń (Poland) , 2014, Journal of Soils and Sediments.