Conflict, migration and land-cover changes in Indochina: a hydrological assessment

被引:32
|
作者
Lacombe, G. [1 ]
Pierret, A. [1 ,2 ]
Hoanh, C. T. [1 ]
Sengtaheuanghoung, O. [3 ]
Noble, A. D. [1 ]
机构
[1] IWMI, Viangchan, Laos
[2] IRD, Viangchan, Laos
[3] NAFRI, Viangchan, Laos
关键词
hydrological change; land-cover; forest; evapotranspiration; Vietnam War; Mekong; SOUTHEAST-ASIA; WATER-BALANCE; EVAPOTRANSPIRATION; MODEL; CATCHMENT; RAINFALL; FOREST; FLOW; SOIL;
D O I
10.1002/eco.166
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The Indochinese section of the Mekong Basin has been subjected to major environmental disturbances over the last half century. The Vietnam War is invoked as a central explanation for the extensive deforestation in specific areas while conflict-induced exoduses caused the abandonment of cultivated lands, followed by forest regeneration. Although the socio-economical consequences of these episodes have been analysed, their hydrological impacts remain unknown. This paper investigates hydrological changes in two catchments of the lower Mekong Basin that were either heavily bombed (in southern Laos) or depopulated (in northern Laos). This analysis is based on the widely and independently recognized fact that vegetation, via evapotranspiration, is a central driver of basin water yield. The analysis of the most complete Vietnam War air mission database and of available hydro-meteorological data over the period 1960-2004 reveals a sharp runoff increase in the southern catchment when bombing climaxed in the early 1970s while no hydrological change is observed in the northern catchment over the same period. From 1995 onwards, the northern and southern catchment's runoff productions are significantly lower and higher than in the pre-war conditions, respectively. Although causalities could not be ascertained because of data limitations, these short- and long-term hydrological shifts were found to be consistent, in terms of occurrence, spatial distribution and magnitude, with the expected changes in the vegetation cover, either denser in the north (in response to abandonment of cultivated lands) or sparser in the south (as a result of bomb-induced deforestation and soil degradations). Copyright (C) 2010 John Wiley & Sons, Ltd.
引用
收藏
页码:382 / 391
页数:10
相关论文
共 50 条
  • [41] Monitoring Land-Cover Changes A machine-learning perspective
    Karpatne, Anuj
    Jiang, Zhe
    Vatsavai, Ranga Raju
    Shekhar, Shashi
    Kumar, Vipin
    IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, 2016, 4 (02): : 8 - 21
  • [42] A land-cover data infrastructure for measurement, modeling, and analysis of land-cover change dynamics
    Aspinall, R
    PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2002, 68 (10): : 1101 - 1105
  • [43] Approach for Analysis of Land-Cover Changes and Their Impact on Flooding Regime
    Shrestha, Badri Bhakta
    QUATERNARY, 2019, 2 (03):
  • [44] Land-cover changes by land-use changes on the islands of Elba and Malta, Mediterranean Sea
    Cyffka, B
    Understanding Land-Use and Land-Cover Change in Global and Regional Context, 2005, : 187 - 205
  • [45] An assessment of the effectiveness of a random forest classifier for land-cover classification
    Rodriguez-Galiano, V. F.
    Ghimire, B.
    Rogan, J.
    Chica-Olmo, M.
    Rigol-Sanchez, J. P.
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2012, 67 : 93 - 104
  • [46] Thematic accuracy assessment of regional scale land-cover date
    Khorram, S
    Knight, JR
    Cakir, HI
    REMOTE SENSING AND GIS ACCURACY ASSESSMENT, 2004, : 91 - 103
  • [47] LANDSAT ASSISTED FOREST LAND-COVER ASSESSMENT OF THE PHILIPPINE ISLANDS
    LACHOWSKI, HM
    DIETRICH, DL
    UMALI, R
    AQUINO, E
    BASA, V
    PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 1979, 45 (10): : 1387 - 1391
  • [48] AN ASSESSMENT OF SOME FACTORS INFLUENCING MULTISPECTRAL LAND-COVER CLASSIFICATION
    GONG, P
    HOWARTH, PJ
    PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 1990, 56 (05): : 597 - 603
  • [49] Climatic and hydrological variations caused by Land Use/Land Cover changes in the valley of Toluca, Mexico: A rapid assessment
    Ortiz-Oliveros, H. B.
    Avila-Perez, P.
    Cruz-Gonzalez, D.
    Villalva-Hernandez, A.
    Lara-Almazan, N.
    Torres-Garcia, I.
    SUSTAINABLE CITIES AND SOCIETY, 2022, 85
  • [50] Targeted Land-Cover Classification
    Marconcini, Mattia
    Fernandez-Prieto, Diego
    Buchholz, Tim
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2014, 52 (07): : 4173 - 4193