Flood severity along the Usumacinta River, Mexico: Identifying the anthropogenic signature of tropical forest conversion

Anthropogenic activities are altering flood frequency-magnitude distributions along many of the world’s large rivers. Yet isolating the impact of any single factor amongst the multitudes of competing anthropogenic drivers is a persistent challenge. The Usumacinta River in southeastern Mexico provide...

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Main Authors: Alexander J Horton, Anja Nygren, Miguel A Diaz-Perera, Matti Kummu
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Journal of Hydrology X
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2589915520300237
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spelling doaj-e9d23e3ad4a3417b8b186f1285ffe17e2021-01-06T04:05:42ZengElsevierJournal of Hydrology X2589-91552021-01-0110100072Flood severity along the Usumacinta River, Mexico: Identifying the anthropogenic signature of tropical forest conversionAlexander J Horton0Anja Nygren1Miguel A Diaz-Perera2Matti Kummu3Water & Development Research Group, Aalto University, Espoo, Finland; Corresponding authors.Development Studies, University of Helsinki, Helsinki, FinlandEl Colegio de la Frontera Sur-Unidad Villahermosa, Villahermosa, Tabasco, MexicoWater & Development Research Group, Aalto University, Espoo, Finland; Corresponding authors.Anthropogenic activities are altering flood frequency-magnitude distributions along many of the world’s large rivers. Yet isolating the impact of any single factor amongst the multitudes of competing anthropogenic drivers is a persistent challenge. The Usumacinta River in southeastern Mexico provides an opportunity to study the anthropogenic driver of tropical forest conversion in isolation, as the long meteorological and discharge records capture the river’s response to large-scale agricultural expansion without interference from development activities such as dams or channel modifications. We analyse continuous daily time series of precipitation, temperature, and discharge to identify long-term trends, and employ a novel approach to disentangle the signal of deforestation by normalising daily discharges by 90-day mean precipitation volumes from the contributing area in order to account for climatic variability. We also identify an anthropogenic signature of tropical forest conversion at the intra-annual scale, reproduce this signal using a distributed hydrological model (VMOD), and demonstrate that the continued conversion of tropical forest to agricultural land use will further exacerbate large-scale flooding. We find statistically significant increasing trends in annual minimum, mean, and maximum discharges that are not evident in either precipitation or temperature records, with mean monthly discharges increasing between 7% and 75% in the past decades. Model results demonstrate that forest cover loss is responsible for raising the 10-year return peak discharge by 25%, while the total conversion of forest to agricultural use would result in an additional 18% rise. These findings highlight the need for an integrated basin-wide approach to land management that considers the impacts of agricultural expansion on increased flood prevalence, and the economic and social costs involved.http://www.sciencedirect.com/science/article/pii/S2589915520300237DeforestationFloodingHydrological modellingFlow regimeStormflowWatershed management
collection DOAJ
language English
format Article
sources DOAJ
author Alexander J Horton
Anja Nygren
Miguel A Diaz-Perera
Matti Kummu
spellingShingle Alexander J Horton
Anja Nygren
Miguel A Diaz-Perera
Matti Kummu
Flood severity along the Usumacinta River, Mexico: Identifying the anthropogenic signature of tropical forest conversion
Journal of Hydrology X
Deforestation
Flooding
Hydrological modelling
Flow regime
Stormflow
Watershed management
author_facet Alexander J Horton
Anja Nygren
Miguel A Diaz-Perera
Matti Kummu
author_sort Alexander J Horton
title Flood severity along the Usumacinta River, Mexico: Identifying the anthropogenic signature of tropical forest conversion
title_short Flood severity along the Usumacinta River, Mexico: Identifying the anthropogenic signature of tropical forest conversion
title_full Flood severity along the Usumacinta River, Mexico: Identifying the anthropogenic signature of tropical forest conversion
title_fullStr Flood severity along the Usumacinta River, Mexico: Identifying the anthropogenic signature of tropical forest conversion
title_full_unstemmed Flood severity along the Usumacinta River, Mexico: Identifying the anthropogenic signature of tropical forest conversion
title_sort flood severity along the usumacinta river, mexico: identifying the anthropogenic signature of tropical forest conversion
publisher Elsevier
series Journal of Hydrology X
issn 2589-9155
publishDate 2021-01-01
description Anthropogenic activities are altering flood frequency-magnitude distributions along many of the world’s large rivers. Yet isolating the impact of any single factor amongst the multitudes of competing anthropogenic drivers is a persistent challenge. The Usumacinta River in southeastern Mexico provides an opportunity to study the anthropogenic driver of tropical forest conversion in isolation, as the long meteorological and discharge records capture the river’s response to large-scale agricultural expansion without interference from development activities such as dams or channel modifications. We analyse continuous daily time series of precipitation, temperature, and discharge to identify long-term trends, and employ a novel approach to disentangle the signal of deforestation by normalising daily discharges by 90-day mean precipitation volumes from the contributing area in order to account for climatic variability. We also identify an anthropogenic signature of tropical forest conversion at the intra-annual scale, reproduce this signal using a distributed hydrological model (VMOD), and demonstrate that the continued conversion of tropical forest to agricultural land use will further exacerbate large-scale flooding. We find statistically significant increasing trends in annual minimum, mean, and maximum discharges that are not evident in either precipitation or temperature records, with mean monthly discharges increasing between 7% and 75% in the past decades. Model results demonstrate that forest cover loss is responsible for raising the 10-year return peak discharge by 25%, while the total conversion of forest to agricultural use would result in an additional 18% rise. These findings highlight the need for an integrated basin-wide approach to land management that considers the impacts of agricultural expansion on increased flood prevalence, and the economic and social costs involved.
topic Deforestation
Flooding
Hydrological modelling
Flow regime
Stormflow
Watershed management
url http://www.sciencedirect.com/science/article/pii/S2589915520300237
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