Characterizing erosion from dendrogeomorphology has usually focused on accurately finding the starting time of root exposure, by examining macroscopic or cell level changes caused by exposure. Here, we offer a detailed description of different novel techniques to obtain more precise erosion rates from highly accurate microtopographic data.
Sheet erosion is among the crucial drivers of soil degradation. Erosion is controlled by environmental factors and human activities, which often lead to severe environmental impacts. The understanding of sheet erosion is, consequently, a worldwide issue with implications for both environment and economies. However, the knowledge on how erosion evolves in space and time is still limited, as well as its effects on the environment. Below, we explain a new dendrogeomorphological protocol for deriving eroded soil thickness (Ex) by acquiring accurate microtopographic data using both terrestrial laser scanning (TLS) and microtopographic profile gauges. Additionally, standard dendrogeomorphic procedures, dependent on anatomical variations in root rings, are utilized to establish the timing of exposure. Both TLS and microtopographic profile gauges are used to obtain ground surface profiles, from which Ex is estimated after the threshold distance (TD) is determined, i.e., the distance between the root and the sediment knickpoint, which allows defining the lowering of the ground surface caused by sheet erosion. For each profile, we measured the height between the topside of the root and a virtual plane tangential to the ground surface. In this way, we intended to avoid small-scale impacts of soil deformation, which may be due to pressures exerted by the root system, or by the arrangement of exposed roots. This may provoke small amounts of soil sedimentation or erosion depending on how they physically affect the surface runoff. We demonstrate that an adequate microtopographic characterization of exposed roots and their associated ground surface is very valuable to obtain accurate erosion rates. This finding could be utilized to develop the best management practices designed to eventually halt or perhaps, at least, lessen soil erosion, so that more sustainable management policies can be put into practice.
Both economic and environmental impacts produced by sheet erosion makes this topic in a worldwide concern1. Several methods, from direct techniques to physical-based and empirical approaches, are used to calculate soil erosion rates on a variety of temporal and spatial scales. Direct techniques use field measurements under natural conditions and are mainly based on the use of Gerlach troughs2, water collectors3, erosion pins4 and profilometers5. Furthermore, models of soil erosion have been increasingly focused on representing in detail the real physical processes responsible for erosion6.
Dendrogeomorphology7 is a subdivision of dendrochronology8 that it is successful in characterizing frequency and magnitude of geomorphic processes9,10,11,12,13,14,15,16,17. Regarding sheet erosion, dendrogeomorphology is usually employed to enhance or replace the methodologies mentioned above, particularly in areas where erosion rates derived from direct techniques are either scarce or unavailable. Dendrogeomorphology is a very flexible method for assessing soil erosion and can be utilized to calibrate physical-based and empirical models, or perhaps as a data source to enhance the reliability of direct estimation techniques18,19. Dendrogeomorphology enables soil erosion to be established over large areas where exposed roots are available. These exposed roots should show clear tree rings limits and respond to annual growth patterns to be considered as optimum to apply dendrogeomorphological techniques20. Further, exposed roots to be sampled should be preferably located in homogenous units based on their reaction to soil erosion21.
The conventional dendrogeomorphical way of estimating sheet erosion is grounded on measuring in situ the eroded soil thickness (Ex) from the time of the very first exposure to the present22,23,24. The ratio between these two variables is utilized to calculate an erosion value in mm∙yr1. Much of the research conducted to date has focused entirely on efficiently identifying the initial year of exposure. As an outcome, modifications in the root due to exposure are analyzed at the macroscopic level25, or at the tissue and cellular levels26,27,28. The principal anatomical change present in the exposed roots of conifers is increasing growth ring thickness, as a consequence of a significant number of cells within the earlywood (EW)26. A cutback has similarly been found within the lumen area of EW tracheids along with an increased cell wall structure thickness of latewood (LW) tracheids24,27,29. These modifications have been described and quantified as beginning when erosion lowers the ground surface over the root to roughly three cm30. Less attention was granted to the adequate determination of the Ex parameter. The age of exposed roots was typically connected with the height of the root's center axis of growth over the ground surface31,32. The estimation of Ex was consequently corrected considering ongoing secondary growth30,33. More recently, these methodological approaches have also integrated the characterization of soil microtopography to obtain reliable erosion rates34,35,36.
We present a laboratory and field protocol to estimate more accurate and reliable sheet erosion rates from dendrogeomorphology. In this particular protocol, we examine the hypothesis that sampling all exposed roots, regardless of orientation relative to runoff path and in conjunction with microtopographical analysis, enables erosion rates to be precisely reconstructed and quantified. Our objective, therefore, is to provide a protocol to estimate erosion rates from maximizing the sample size of exposed roots, using macroscopic and microscopic information found in growth tree-ring series and also high-resolution topographic data.
1. Sampling Strategy
Figure 1: Example of HRUs associated to a sandy gully. Regarding the protocol proposed here, the sampling of exposed roots must be conducted in an HRU in which the effective erosive process is sheet erosion (in this figure legend corresponding to exposed sand with moderate slopes). This figure has been modified from Bodoque et al.21. Please click here to view a larger version of this figure.
Figure 2: Example of how to conduct field sampling. At least 30 exposed roots are selected and, subsequently, cut with a handsaw. Please click here to view a larger version of this figure.
2. Microtopographic Characterization of Ground Surface and Exposed Roots at Easily Accessible Locations
3. Microtopographic Characterization of Ground Surface And Exposed Roots, at Locations with Difficult and Steep Terrain (Mountain Environments)
Figure 3: Example of characterization of ground microtopography using a microtopographic profile gauge. (A) Illustration of exposed roots as observed along a hiking trail; (B) measurements of soil microtopography using a microtopographic profile gauge; (C) estimation of Ex through the acquisition of microtopographic profiles by drawing them on a graph paper to allow inference of the amount of eroded soil along the profile and with sub-millimeter precision. Please click here to view a larger version of this figure.
4. Determination of the Timing of Root Exposure
Figure 4: Example of how to prepare a section of an exposed root to accomplish dendrochronological dating of growth ring series. In each section, four or five radii are marked along the directions that show the highest variability regarding tree-ring width. Please click here to view a larger version of this figure.
5. Estimation of the Thickness of the Soil Layer Eroded Since Initial Exposure (Ex)
Figure 5: Example is illustrating how to place TD when the exposed roots sampled are orientated according to the runoff path. This figure shows a common microtopographic transversal profile of uncovered root and its immediate vicinity. Ex1 is the location applied to the traditional dendrogeomorphical approach to determine the eroded soil thickness; Ex2 belongs to the position where this parameter needs to be assessed. TD is taken as a guide position from which the ground surface is changed by sheet erosion only. This figure has been modified from Bodoque et al.34 Please click here to view a larger version of this figure.
Figure 6: Example drawing how to proceed when the exposed roots sampled are orientated according to the perpendicular to the runoff path. This figure shows a schematic view of a ground surface profile related to an exposed perpendicular root concerning the runoff path. Eroded soil thickness (Ex) is quantified at the knickpoint coinciding to prevailing sedimentation and scour erosion processes nearby the root. This figure has been modified from Ballesteros-Cánovas et al.35 Please click here to view a larger version of this figure.
6. Sheet Erosion Rate Estimation
Samples of exposed roots suffer serious cambial deterioration due to the impact of exposure (e.g., modifications in temperature, incidence of light) plus the physical stress, due to trampling by hikers or animal grazing and browsing that the roots undergo after they are exposed. Determining the existence of discontinuous rings, as well as precisely dating the first year of response to exposure was accomplished in the lab as in Protocol 4 (steps 4.1.6 to 4.1.8). We chose the increase of latewood percentage and the presence of tree-ring significantly wider than the average as indicators of first exposure.
114 sections of exposed Pinus uncinata Ramond ex DC, Fagus sylvatica L., Pinus pinaster Ait. and Pinus sylvestris roots were used for this purpose. As a result of the death of the cambium on the top part of the root, we found severe changes in the tree-ring growth pattern, which shifted from concentric to eccentric growth (Figure 7), as well as discontinuous tree-rings or even some that had been completely destroyed in the outer tree-rings. The above suggests that the approach we implemented was successful in determining with enough accuracy the age of the roots and the particular year in which the first exposure ring was formed.
Figure 7: Examples of eccentric tree-ring pattern in roots due to exposure. This figure shows a view of a polished section of a root exposed in the absence scars (A) and with scars (B). In both cases, it is feasible to observe the pattern of eccentric tree-rings as a clear reaction to soil erosion. Please click here to view a larger version of this figure.
A lab experiment was conducted as in protocol 4 (steps from 4.2.1 to 4.2.8) to determine how roots anatomically respond to exposure. To this end, the same exposed roots sample described above was used. Samples were examined below optical microscopy and photographed with a digital imaging system. Microscopic images were analyzed at 50× magnification with an accuracy of 1 μm in the measurements. The first time of exposure can be seen in the characteristic anatomical changes. Tree-rings show evident increased growth (particularly recognizable in two or three succeeding rings), which is as a result of an increase in both tracheid number and their size. An increase in the number of vessels was also noticeable. Resin ducts usually appear in tangential rows in earlywood. Latewood is readily observable as it has several rows of thick-walled tracheids. A significant decline in the tracheid lumen of earlywood once root is exposed also occurs. With respect to the anatomical footprint of the ten buried roots sampled, results indicate that this sample group starts to react according to the behavior described above when the edaphic cover fall below 3 cm (Figure 8).
Figure 8: Example of anatomical response of roots to exposure. Wood anatomy of Pinus uncinata Ramond ex DC roots: (A) anatomy of buried roots (200 μm); (B) anatomy of exposed wood (500 μm). Wood anatomy from roots of Fagus sylvatica L.: (C) anatomy of a buried root (500 μm); (D) anatomy of exposed wood (500 μm). This figure has been modified from Bodoque et al.36 Please click here to view a larger version of this figure.
Characterization of surface microtopography variability plays a critical role in obtaining reliable sheet erosion rates derived from dendrogeomorphology (Figure 9). To this end, we designed an experimental and field experiment aimed at capturing highly accurate microtopographic surface profiles to be analyzed using protocol 5 on 114 samples of exposed roots. We utilized the distance between the root and the knickpoint, from which the profile defines the lowering of ground surface due to sheet erosion as a criterion to estimate the thickness of the soil layer eroded since initial exposure (Ex). Concerning sampled exposed roots running parallel to the runoff path, all profiles analyzed showed a concave configuration on both sides of the exposed roots that were characterized. This morphological pattern ends at a specific distance (TD), from which ground surface is only shaped by sheet erosion, determining, therefore, the location where Ex has to be measured. Concerning exposed roots that run perpendicular to the runoff path, our procedure made it possible to systematically determine the height between the topside of the root and a virtual plane tangential to the ground surface. It also allowed locating small-scale impacts of sedimentation and scour erosion and, hence, ensuring that sheet erosion is accurately estimated.
Figure 9: Example of outputs of ground surface microtopography characterization obtained from TLS and a microtopographic profile gauge. (A) Hillshade model achieved using microtopographic profiles and (B) raster of slopes derived from the hillshade model; (C) hillshade model obtained from TLS and (D) resulting raster of slopes. Slopes are expressed in sexagesimal degrees. In plots B and D, dashed lines indicate the TD at which Ex must be measured. This figure has been modified from Bodoque et al.36 Please click here to view a larger version of this figure.
Estimates of sheet erosion rates have been obtained according to the equation included in protocol 6 (Figure 10). As regards the 114 samples analyzed, the year of very first root exposure fluctuates from 1900-2012, which enables the medium-term (multidecadal) characterization of the erosion rates. Additionally, we examined ten buried roots, which were still protected by a thin soil cover. Results showed that buried roots began to anatomically respond to the exposure effects when they were 2.3 1.1 cm below the ground surface (Figure 11). We considered this specific soil level as a value to be added to the thickness of the soil layereroded (Ex).
Figure 10: Example of sheet erosion rates estimated from dendrogeomorphology. Graph linking erosion rates and years of exposure of the exposed roots. Erosion rates inside the square are those used for quantification purposes. This figure has been modified from Bodoque et al.21 Please click here to view a larger version of this figure.
Figure 11: Example of anatomical response in buried root sections. Dark grey circles show buried roots with exposure evidence. The size of circles shows root diameter, whereas the numbers indicate root depths. This figure has been modified from Ballesteros-Cánovas et al.35 Please click here to view a larger version of this figure.
The protocol deployed demonstrates the value of detailed and proper characterization of ground surface microtopography, as it enables to measure trustworthy sheet erosion rates from dendrogeomorphology. Our methodological approach focuses on the importance of characterizing the microtopography in the surroundings of exposure roots to improve erosion rate estimation. This factor has been largely ignored in previous studies, resulting in a misinterpretation of soil erosion rates derived from dendrogeomorphology34.The inclusion of microtopography allows erosion rates to be estimated regardless of root orientation, which favors the replicability of the methods35. The acquisition of microtopography may be performed using different techniques. Therefore, we recognize differences between the DEM produced from microtopographic profiles (step 5.2.1) and TLS (steps 5.1.1 to 5.1.2). Despite these differences sometimes being even within the order of up to 50% of the variance of the measures36, we highlight that the reliability of our protocol based on microtopographic profiles (step 5.2.1) is comparable to that achieved with TLS (~mm).
This study also demonstrates that the protocol deployed here can be used in mountainous areas as an alternative approach to TLS. The use of TLS in this specific geographic context is not practical due to the size and weight of the device, which hinder its transport through inaccessible areas. The application of the TD criteria as an indication of the distance at which ground surface is not changing as a result of axial and radial pressures exerted by the root37,38, or where there is no sedimentation (upslope of the root) or scour erosion (downslope of the root)35 is illustrated as well (steps 5.1.5 and 5.2.2). We determined that this particular distance must be utilized in future work involving the definition on the point at which Ex shall be measured.
Macroscopic and microscopic observations (steps 4.1 and 4.2) are essential to decipher the environmental signal in tree-ring records. The only use of tree-ring width measurements might not be enough to determine the moment of exposure, since anatomical changes are more sensitive39 and could even be produced when root are still buried by a thin soil layer30. Thus, existing studies suggest that the coniferous tree species used in this paper (i.e., Pinus uncinata Ramond ex DC, Pinus pinaster Ait. and Pinus sylvestris) react to exposure with eccentric growth and a significant development of latewood tracheids, which is congruent with former findings on other conifer species21,27,29,30. Reactions start happening when the soil coverage of the root declines below 2.3 1.1 cmand therefore agrees with the observation from marly badlands in France in which the analysis was focused on Pinus sylvestris and Pinusnigra30.
The first exposure reaction is translated as a reaction to boosting temperature variability as well as drought stress that will happen more quickly in the top of the detrital level of loose sediment close to the soil surface29,30,40,41. This anatomical modification may also be viewed as a predictable response of the root to lessen the chance of dysfunctional tracheids due to cavitation, caused by the development of ice crystals in the sap42, or even due to mobile embolism associated with water stress43. Our observations, consequently, verify the hypothesis of Corona et al.30 and also propose that previous assessments that did not consider this bias could have undervalued erosion rates. In the case of Fagus sylvatica L., we can confirm similarities in the patterns and reactions between this particular species and other deciduous species discussed in the literature26,28,29.
Dendrogeomorphology has competitive advantages compared to other methods of direct estimation. So, the analysis based on exposed roots enables to be ambitious in terms of characterizing soil erosion even at the basin scale, providing representative erosion rates of the last decades. In contrast, the use of direct methods, as Gerlach troughs2, water collectors3 or gauging stations44, is usually limited to a few years and to the use at the hillslope scale, due to the high cost of maintenance and operation of these devices21. Similar thinking could also be applied to models aimed at estimating soil erosion45, since they require gauges located in the field to allow their validation and calibration46. Concerning the analysis of soil erosion in recreation trails, our protocol is much more easily applied than standard protocols, i.e., cross-sectional area (CSA), variable CSA, maximum incision to the trail or topographic surveys47,48,49, particularly if the trail is positioned in mountainous areas. In this particular geographic context, it is a challenge to use the protocols above owing to the heavy equipment required, which is difficult to move in such environments. This limitation can restrict the number of transects collected and can consequently impact spatiotemporal estimates of soil erosion50. Furthermore, it is a challenge to accurately determine the horizontal position and guarantee that the same height above the fixed points is considered, as soil creep tends to play a role in such environments49.
The limitations of erosion rates derived from dendrogeomorphology are related to the fact that the age of exposed roots is usually limited to a few decades. Nevertheless, this time window is usually larger than the one defined by erosion rates obtained from direct techniques. Cross-dating, the basic principle of dendrochronology, also has proven difficult to be implemented in roots, even though they pertain to the same tree51,52. Besides, the consistency of root-based estimation of erosion rates is probable to be affected by restrictions similar to those noted for documentary sources or approaches based on radioisotopes53. Concerning the above, soil erosion will be a consequence of a non-linear response to rainfall. Average erosion rates obtained from dendrogeomorphology might be, therefore, less reliable to characterize soil erosion in areas where this process is mostly due to a few heavy rainfall events, since under this circumstance erosion rates could be skewed55. Additionally, the sampling of large exposed roots may lead to underestimate erosion rates since it has been demonstrated that erosion rates and root thickness has an inversed proportional relationship19.
The results produced from the protocol deployed here offer useful information on soil degradation. In that sense, dendrogeomorphology may aid decision makers to design long-term management plans, due to the spatiotemporal representativeness of erosion rates derived from exposed roots.
The authors have nothing to disclose.
The research projects that funded this research were: MARCoNI (CGL2013-42728-R); Dendro-Avenidas (CGL2007-62063); MAS Dendro-Avenidas (CGL2010-19274) of the Spanish Ministry of Science and Technology and the project IDEA-GESPPNN (OAPN 163/2010), which was funded by the Environmental Ministry of Spain.
Topographic map, soil map, land cover map | To be obtained from public institutions or generate at the first phase of research | ||
Single ring infiltometer | Turf-Tec International | IN16-W | http://www.turf-tec.com/IN16Lit.html |
Handsaw | There is noy any specific characteristics to be considered regarding the model | ||
Measuring tape | With accuracy of 1 mm | ||
Terrestrial Laser Scanning (TLS) | Leica-Geosystems | Leica ScanStation P16 | https://leica-geosystems.com/products/laser-scanners/scanners/leica-scanstation-p16 |
Microtopographic Profile Gauge | RS Online | Facom, 19 | https://www.classic-conservation.com/es/herramientas-para-talla-y-escultura-en-madera/511-galga-medidora-de-perfiles.html |
Sandpaper | from 80 to 400 grit | ||
Scanner | EPSON | Perfection V800 Photo | https://www.epson.co.uk/products/scanners/consumer-scanners/perfection-v800-photo |
Image analysis system | Regent Instruments Inc. | WinDENDRO | http://www.regentinstruments.com/assets/windendro_analysisprocess.html |
Measuring table | IML | https://www.iml-service.com/product/iml-measuringtable/ | |
Sliding microtome | Thermo Fisher SCIENTIFIC | Microm HM 450-387760 | http://www.thermofisher.com/order/catalog/product/910020 |
Optical microscope | OLYMPUS | MX63/MX63L | https://www.olympus-ims.com/en/microscope/mx63l/ |
Digital camera for microscope | OLYMPUS | DP74 | https://www.olympus-ims.com/en/microscope/dc/ |
Safranin | Empirical Formula (Hill Notation) C20H19ClN4 | ||
Astrablue | Empirical Formula C47H52CuN14O6S3 | ||
Alcohol | Alcohol by volume (50%, 75% and 100%) | ||
Distilled water | H2O | ||
Citrus oil clearing agent | https://www.nationaldiagnostics.com/histology/product/histo-clear | ||
Coated slides | Thermo Fisher SCIENTIFIC | https://www.fishersci.com/us/en/products/I9C8JXMT/coated-glass-microscope-slides.html | |
Hardening epoxy | MERCK | https://www.sigmaaldrich.com/catalog/product/sial/03989?lang=es®ion=ES |