Alignment of tree phenology and climate seasonality influences the runoff response to forest cover loss
Trees shape the critical zone and modulate terrestrial water storage yet observed streamflow responses to forest cover change vary. Differences in catchment area, soil water storage, management practices, tree species, and climate are among the many explanations proposed for heterogeneous hydrologic...
Published in: | Environmental Research Letters |
---|---|
Main Authors: | , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
IOP Publishing
2020
|
Subjects: | |
Online Access: | https://doi.org/10.1088/1748-9326/abaad9 https://doaj.org/article/0da338a009724914b00f4841636723e4 |
id |
ftdoajarticles:oai:doaj.org/article:0da338a009724914b00f4841636723e4 |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:0da338a009724914b00f4841636723e4 2023-09-05T13:23:37+02:00 Alignment of tree phenology and climate seasonality influences the runoff response to forest cover loss James Knighton Varsha Vijay Margaret Palmer 2020-01-01T00:00:00Z https://doi.org/10.1088/1748-9326/abaad9 https://doaj.org/article/0da338a009724914b00f4841636723e4 EN eng IOP Publishing https://doi.org/10.1088/1748-9326/abaad9 https://doaj.org/toc/1748-9326 doi:10.1088/1748-9326/abaad9 1748-9326 https://doaj.org/article/0da338a009724914b00f4841636723e4 Environmental Research Letters, Vol 15, Iss 10, p 104051 (2020) deforestation runoff enhanced vegetation index (EVI) hierarchical clustering forests Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 article 2020 ftdoajarticles https://doi.org/10.1088/1748-9326/abaad9 2023-08-13T00:37:16Z Trees shape the critical zone and modulate terrestrial water storage yet observed streamflow responses to forest cover change vary. Differences in catchment area, soil water storage, management practices, tree species, and climate are among the many explanations proposed for heterogeneous hydrologic responses. We addressed evidence for the hypothesis that mean annual temperature (MAT) and the phase shift between precipitation and enhanced vegetation index (EVI) peaks, θ , explain a significant amount of the variation in hydrologic response to forest cover loss. We selected 50 catchments with daily streamflow records spanning eight nations and seven climate regions. Categorical clustering of catchments was performed with MAT, θ, minimum EVI, catchment area, and percentage forest loss. Similar storm event runoff ratio responses to deforestation were best clustered by MAT and θ . High MAT tropical monsoonal catchments (Brazil, Myanmar, and Liberia) exhibited minimal evidence of increasing runoff ratios (increases observed in 9% of catchments). Low MAT subarctic, cold semi-arid, and humid continental catchments (US, Canada, and Estonia) showed consistent runoff increases around the time of snowmelt (94%). The deforestation runoff responses of temperate and subtropical catchments with Mediterranean, humid, and oceanic climates depended strongly on θ . We observe increased runoff following forest loss in a majority of catchments (90%) where precipitation peaks followed peak growing season (max EVI) (US). In contrast, where precipitation peaks preceded the growing season (South Africa and Australia) there was less evidence of increased runoff (25% of catchments). This research supports the strategic implementation of native forest conservation or restoration for simultaneously mitigating the effects of global climate change and regional or local surface runoff. Article in Journal/Newspaper Subarctic Directory of Open Access Journals: DOAJ Articles Canada Environmental Research Letters 15 10 104051 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
deforestation runoff enhanced vegetation index (EVI) hierarchical clustering forests Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 |
spellingShingle |
deforestation runoff enhanced vegetation index (EVI) hierarchical clustering forests Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 James Knighton Varsha Vijay Margaret Palmer Alignment of tree phenology and climate seasonality influences the runoff response to forest cover loss |
topic_facet |
deforestation runoff enhanced vegetation index (EVI) hierarchical clustering forests Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 |
description |
Trees shape the critical zone and modulate terrestrial water storage yet observed streamflow responses to forest cover change vary. Differences in catchment area, soil water storage, management practices, tree species, and climate are among the many explanations proposed for heterogeneous hydrologic responses. We addressed evidence for the hypothesis that mean annual temperature (MAT) and the phase shift between precipitation and enhanced vegetation index (EVI) peaks, θ , explain a significant amount of the variation in hydrologic response to forest cover loss. We selected 50 catchments with daily streamflow records spanning eight nations and seven climate regions. Categorical clustering of catchments was performed with MAT, θ, minimum EVI, catchment area, and percentage forest loss. Similar storm event runoff ratio responses to deforestation were best clustered by MAT and θ . High MAT tropical monsoonal catchments (Brazil, Myanmar, and Liberia) exhibited minimal evidence of increasing runoff ratios (increases observed in 9% of catchments). Low MAT subarctic, cold semi-arid, and humid continental catchments (US, Canada, and Estonia) showed consistent runoff increases around the time of snowmelt (94%). The deforestation runoff responses of temperate and subtropical catchments with Mediterranean, humid, and oceanic climates depended strongly on θ . We observe increased runoff following forest loss in a majority of catchments (90%) where precipitation peaks followed peak growing season (max EVI) (US). In contrast, where precipitation peaks preceded the growing season (South Africa and Australia) there was less evidence of increased runoff (25% of catchments). This research supports the strategic implementation of native forest conservation or restoration for simultaneously mitigating the effects of global climate change and regional or local surface runoff. |
format |
Article in Journal/Newspaper |
author |
James Knighton Varsha Vijay Margaret Palmer |
author_facet |
James Knighton Varsha Vijay Margaret Palmer |
author_sort |
James Knighton |
title |
Alignment of tree phenology and climate seasonality influences the runoff response to forest cover loss |
title_short |
Alignment of tree phenology and climate seasonality influences the runoff response to forest cover loss |
title_full |
Alignment of tree phenology and climate seasonality influences the runoff response to forest cover loss |
title_fullStr |
Alignment of tree phenology and climate seasonality influences the runoff response to forest cover loss |
title_full_unstemmed |
Alignment of tree phenology and climate seasonality influences the runoff response to forest cover loss |
title_sort |
alignment of tree phenology and climate seasonality influences the runoff response to forest cover loss |
publisher |
IOP Publishing |
publishDate |
2020 |
url |
https://doi.org/10.1088/1748-9326/abaad9 https://doaj.org/article/0da338a009724914b00f4841636723e4 |
geographic |
Canada |
geographic_facet |
Canada |
genre |
Subarctic |
genre_facet |
Subarctic |
op_source |
Environmental Research Letters, Vol 15, Iss 10, p 104051 (2020) |
op_relation |
https://doi.org/10.1088/1748-9326/abaad9 https://doaj.org/toc/1748-9326 doi:10.1088/1748-9326/abaad9 1748-9326 https://doaj.org/article/0da338a009724914b00f4841636723e4 |
op_doi |
https://doi.org/10.1088/1748-9326/abaad9 |
container_title |
Environmental Research Letters |
container_volume |
15 |
container_issue |
10 |
container_start_page |
104051 |
_version_ |
1776204203950080000 |