Aboveground responses to belowground root damage detected by non-destructive sensing metrics in three tree species

Abstract

Root systems form a significant part of tree biomass and function. Yet, roots are hidden from our eyes, making it difficult to track the belowground processes. By contrast, our capacity to detect aboveground changes in trees has been continuously improving using optical methods. Here, we tested two fundamental questions: (1) To what extent can we detect aboveground responses to mechanical damage of the root system? (2) To what extent are roots redundant? We applied three different non-destructive remote sensing means: (1) optical means to derive leaf greenness, (2) infrared means to detect the changes in leaf surface temperature and (3) spectral means to derive five vegetation indices (i.e. the photochemical reflectance index (PRI), the chlorophyll photosynthesis index (CIRed-edge), the anthocyanin reflectance index 1, the structure insensitive pigment index and the normalized difference water index (NDWI)). We recorded the above metrics for hours and days and up to a month following induced root damage in three key Mediterranean tree species: Aleppo pine (Pinus halepensis Mill.), Palestine oak (Quercus calliprinos Webb.) and Carob (Ceratonia siliqua L.). To induce root damage, we removed 25, 50 and 75 percent of the root system in each species and compared it with control saplings. Tree aboveground (canopy) responses to root damage increased over time and with damage level. Leaf warming (up to 3°C) and decreased PRI were the most significant and rapid responses, with temperature differences being visible as early as 2 days following root damage. NDWI and greenness were the least sensitive, with responses detectable only at 75 percent root damage and as late as 14 or 30 days following root damage. Responses varied vastly among species, with carob being the most sensitive and pine being the least. Changes in leaf temperature and PRI indicated that leaf transpiration and photosynthesis were impaired by root damage. Although trees build roots in excess, mechanical damage will eventually decrease transpiration and photosynthesis across tree species.

International Biological Flora:Ceratonia siliqua

“…Carob also has an extensive root system that penetrates deep into the soil-similar to Pistacia lentiscus-with the ability to develop new, deep roots at times of low water moisture content (Christodoulakis, 1992), thus funding the water loss caused by open stomata. Lateral roots formed c. 50% of root biomass of 2.3-year-old seedlings, similar to that in Quercus coccifera and Pinus halepensis (Azar et al, 2023). The roots of experimentally unwatered plants were found to be shorter than those of well-watered plants, but root dry mass of unwatered plants in the upper soil horizons was similar to that of well-watered plants.…”

“…The primary roots also have large stomata that are permanently open which may increase gas exchange or increase water and nutrient uptake (Christodoulakis et al, 2002). The importance of the roots in water supply in carob was demonstrated by Azar et al (2023) who showed that carob shoots were more highly stressed by experimental root loss of up to 75% of their depth than either Pinus halepensis or Quercus coccifera.…”

SatVITS-Flood: Satellite Vegetation Index Time Series Flood detection model for hyperarid regions

“…NDWI values vary between -1 and +1 depending on the leaf water content, vegetation type, and cover. Although some other variations of this index exist (e.g., Azar et al, 2023;Helman and Mussery, 2020), this version is most robust for detecting vegetation water content because of its use of the reflectance at the SWIR bands in Eq. 3, which is known to be sensitive to changes in mesophyll water content (Ceccato et al, 2001;Tucker, 1980).…”

SatVITS‐Flood: Satellite Vegetation Index Time Series Flood Detection Model for Hyperarid Regions

“…NDWI values vary between −1 and +1 depending on the leaf water content, vegetation type, and cover. Although some other variations of this index exist (e.g., Azar et al., 2023; Helman & Mussery, 2020), this version is most robust for detecting vegetation water content because of its use of the reflectance at the SWIR bands in Equation , which is known to be sensitive to changes in mesophyll water content (Ceccato et al., 2001; Tucker, 1980). Since the water use of the vegetation in hyperarid regions is typically low, we expect NDWI to be highly sensitive to new water supply by floods.…”