Home > Research > Publications & Outputs > Forest–flood relation still tenuous – comment o...

Associated organisational unit

View graph of relations

Forest–flood relation still tenuous – comment on 'Global evidence that deforestation amplifies flood risk and severity in the developing world' by C. J. A. Bradshaw, N.S. Sodi, K. S.-H. Peh and B.W. Brook.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Forest–flood relation still tenuous – comment on 'Global evidence that deforestation amplifies flood risk and severity in the developing world' by C. J. A. Bradshaw, N.S. Sodi, K. S.-H. Peh and B.W. Brook. / Van Dijk, Albert I. J. M.; van Noordwijk, Meine; Calder, Ian R. et al.
In: Global Change Biology, Vol. 15, No. 1, 01.2009, p. 110-115.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

APA

Vancouver

Van Dijk AIJM, van Noordwijk M, Calder IR, Bruijnzeel SLA, Schellekens J, Chappell NA. Forest–flood relation still tenuous – comment on 'Global evidence that deforestation amplifies flood risk and severity in the developing world' by C. J. A. Bradshaw, N.S. Sodi, K. S.-H. Peh and B.W. Brook. Global Change Biology. 2009 Jan;15(1):110-115. doi: 10.1111/j.1365-2486.2008.01708.x

Author

Bibtex

@article{84954fd8b06d4a1cb53e6acfb1a15ca4,
title = "Forest–flood relation still tenuous – comment on 'Global evidence that deforestation amplifies flood risk and severity in the developing world' by C. J. A. Bradshaw, N.S. Sodi, K. S.-H. Peh and B.W. Brook.",
abstract = "In a recent paper in this journal, Bradshaw and colleagues analyse country statistics on flood characteristics, land cover and land cover change, and conclude that deforestation amplifies flood risk and severity in the developing world. The study addresses an important and long-standing question, but we identify important flaws. Principal among these are difficulties in interpreting country statistics and the correlation between population and floods. We review current knowledge, which suggests that the removal of trees does not affect large flood events, although associated landscape changes can under some circumstances. Reanalysis of the data analysed by Bradshaw and colleagues shows that population density alone already explains up to 83% of the variation in reported flood occurrences, considerably more than forest cover or deforestation (<10%). Feasible explanations for this statistical finding – whether spurious or causative – are not difficult to conceive. We, therefore, consider the conclusion of Bradshaw and colleagues to be unsupported. However, their study is a valuable first step to show how these or similar flood data might be used to further explore the relationship between land cover and flooding.",
keywords = "conservation, damage, flooding events, forest loss, generalized linear mixed-effects models, generalized linear models, human displacement, projected costs, rainfall",
author = "{Van Dijk}, {Albert I. J. M.} and {van Noordwijk}, Meine and Calder, {Ian R.} and Bruijnzeel, {Sampurno L. A.} and Jaap Schellekens and Chappell, {Nick A.}",
year = "2009",
month = jan,
doi = "10.1111/j.1365-2486.2008.01708.x",
language = "English",
volume = "15",
pages = "110--115",
journal = "Global Change Biology",
issn = "1354-1013",
publisher = "Blackwell Publishing Ltd",
number = "1",

}

RIS

TY - JOUR

T1 - Forest–flood relation still tenuous – comment on 'Global evidence that deforestation amplifies flood risk and severity in the developing world' by C. J. A. Bradshaw, N.S. Sodi, K. S.-H. Peh and B.W. Brook.

AU - Van Dijk, Albert I. J. M.

AU - van Noordwijk, Meine

AU - Calder, Ian R.

AU - Bruijnzeel, Sampurno L. A.

AU - Schellekens, Jaap

AU - Chappell, Nick A.

PY - 2009/1

Y1 - 2009/1

N2 - In a recent paper in this journal, Bradshaw and colleagues analyse country statistics on flood characteristics, land cover and land cover change, and conclude that deforestation amplifies flood risk and severity in the developing world. The study addresses an important and long-standing question, but we identify important flaws. Principal among these are difficulties in interpreting country statistics and the correlation between population and floods. We review current knowledge, which suggests that the removal of trees does not affect large flood events, although associated landscape changes can under some circumstances. Reanalysis of the data analysed by Bradshaw and colleagues shows that population density alone already explains up to 83% of the variation in reported flood occurrences, considerably more than forest cover or deforestation (<10%). Feasible explanations for this statistical finding – whether spurious or causative – are not difficult to conceive. We, therefore, consider the conclusion of Bradshaw and colleagues to be unsupported. However, their study is a valuable first step to show how these or similar flood data might be used to further explore the relationship between land cover and flooding.

AB - In a recent paper in this journal, Bradshaw and colleagues analyse country statistics on flood characteristics, land cover and land cover change, and conclude that deforestation amplifies flood risk and severity in the developing world. The study addresses an important and long-standing question, but we identify important flaws. Principal among these are difficulties in interpreting country statistics and the correlation between population and floods. We review current knowledge, which suggests that the removal of trees does not affect large flood events, although associated landscape changes can under some circumstances. Reanalysis of the data analysed by Bradshaw and colleagues shows that population density alone already explains up to 83% of the variation in reported flood occurrences, considerably more than forest cover or deforestation (<10%). Feasible explanations for this statistical finding – whether spurious or causative – are not difficult to conceive. We, therefore, consider the conclusion of Bradshaw and colleagues to be unsupported. However, their study is a valuable first step to show how these or similar flood data might be used to further explore the relationship between land cover and flooding.

KW - conservation

KW - damage

KW - flooding events

KW - forest loss

KW - generalized linear mixed-effects models

KW - generalized linear models

KW - human displacement

KW - projected costs

KW - rainfall

U2 - 10.1111/j.1365-2486.2008.01708.x

DO - 10.1111/j.1365-2486.2008.01708.x

M3 - Journal article

VL - 15

SP - 110

EP - 115

JO - Global Change Biology

JF - Global Change Biology

SN - 1354-1013

IS - 1

ER -