Estimation of soil erosion rates in dehesas using the inflection point of holm oaks

被引:9
|
作者
Rubio-Delgado, Judit [1 ]
Schnabel, Susanne [1 ]
Gomez-Gutierrez, Alvaro [1 ]
Sanchez-Fernandez, Manuel [2 ]
机构
[1] Univ Extremadura, INTERRA Res Inst, Caceres 10071, Spain
[2] Univ Extremadura, Tech Coll, Caceres 10071, Spain
关键词
Southwest Spain; Soil erosion; Rangelands; Terrestrial laser scanning; Partially exposed roots; Basal growth; EXPOSED TREE ROOTS; LAND-USE; HIGH-RESOLUTION; DEGRADATION; ESTABLISHMENT; ECOSYSTEMS; TOPOGRAPHY; ALGORITHMS; MANAGEMENT; BADLANDS;
D O I
10.1016/j.catena.2018.03.017
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The exposure of tree or shrub roots represents a clear indicator of soil loss in the surrounding area. Previous studies have used this type of botanical evidence to estimate soil erosion rates, preferring roots at some distance from the tree stem because the inflection point (or root collar) undergoes a vertical displacement caused by basal growth. The aim of this paper is to develop a method that combines the inflection point of holm oaks and high resolution digital images obtained by means of a terrestrial laser scanner to estimate soil erosion rates in Mediterranean dehesas. To correct for vertical displacement, the basal growth of each tree was determined in the field, differentiating the part of the roots that had been exposed by erosion from that generated by wood growth. Two datasets obtained through different approaches were used for validating the basal growth measured in the field survey: (i) a growth study analysing stems and cores of holm oaks and (ii) field measurements of basal growth of holm oaks located in an area without soil erosion. The results obtained by each method offered similar mean values (12.7 and 8.4 cm, respectively) as compared to the values estimated in the field survey (10.2 cm). Afterwards, soil erosion rates were corrected, reducing the values on average by 40%, with a mean loss of 26.7 t ha(-1) y(-1). No relationship was found between tree age and basal growth. On the other hand, soil erosion rates showed a slightly negative trend with relation to tree age, indicating an upward tendency of soil losses from the year 1640 to 2014. Finally, it was possible to define three periods with varying erosion rates: 10.4 t ha(-1) y(-1) (1640-1830), 19.2 t ha(-1) y(-1) (1831-1888) and 27.2 t ha(-1) y(-1) (1889-2014).
引用
收藏
页码:56 / 67
页数:12
相关论文
共 50 条
  • [21] ESTIMATION OF SOIL EROSION IN NORTHERN KIRKUK GOVERNORATE, IRAQ USING RUSLE, REMOTE SENSING AND GIS
    Al-Abadi, Alaa M. Atiaa
    Ghalib, Hussein B.
    Al-Qurnawi, Wasan S.
    CARPATHIAN JOURNAL OF EARTH AND ENVIRONMENTAL SCIENCES, 2016, 11 (01): : 153 - 166
  • [22] Soil erosion estimation of Soan river catchment using remote sensing and geographic information system
    Nabi, G.
    Latif, M.
    Ahsan, M.
    Anwar, S.
    SOIL & ENVIRONMENT, 2008, 27 (01) : 36 - 42
  • [23] Estimation of Soil Erosion and Sediment Yield Using GIS at Catchment Scale
    Rabin Bhattarai
    Dushmata Dutta
    Water Resources Management, 2007, 21 : 1635 - 1647
  • [24] Estimation of soil erosion and sediment yield using GIS at catchment scale
    Bhattarai, Rabin
    Dutta, Dushmata
    WATER RESOURCES MANAGEMENT, 2007, 21 (10) : 1635 - 1647
  • [25] Evaluation of soil erosion rates in the hilly-gully region of the Loess Plateau in China in the past 60 years using global fallout plutonium
    Liu, Yixuan
    Hou, Xiaolin
    Qiao, Jixin
    Zhang, Weichao
    Fang, Miao
    Lin, Mu
    CATENA, 2023, 220
  • [26] Estimation of non-point source pollution loads caused by soil erosion in China (II)
    Fan, Dengxing
    Yu, Xinxiao
    Lv, Xizhi
    Li, Qingyun
    JOURNAL OF FOOD AGRICULTURE & ENVIRONMENT, 2012, 10 (3-4): : 1161 - 1164
  • [27] Soil erosion rates on forested mountain hillslopes estimated using 137Cs and 210Pbex
    Wakiyama, Y.
    Onda, Y.
    Mizugaki, S.
    Asai, H.
    Hiramatsu, S.
    GEODERMA, 2010, 159 (1-2) : 39 - 52
  • [28] Estimation of soil erosion in indo-gangetic region using revised universal soil loss equation (RUSLE) model and geospatial technology
    Kumar, Sunil
    Singh, Dharmendra
    Kumar, Amit
    Kumar, Mukesh
    Giri, Kushal
    Devi, Kushala
    Singh, Sultan
    MODELING EARTH SYSTEMS AND ENVIRONMENT, 2023, 9 (01) : 1251 - 1273
  • [29] Estimation of soil erosion and sediment yield concentrations in Dudhganga watershed of Kashmir Valley using RUSLE & SDR model
    Ahmad, Wani Suhail
    Jamal, Saleha
    Taqi, Mohd
    Abd El-Hamid, Hazem T.
    Norboo, Jigmat
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2024, 26 (01) : 215 - 238
  • [30] Spatial estimation of soil erosion risk using RUSLE model in District Swat Eastern Hindu Kush, Pakistan
    Khan, Abdullah
    Rahman, Atta-ur
    Mahmood, Shakeel
    JOURNAL OF WATER AND CLIMATE CHANGE, 2023, 14 (06) : 1881 - 1899