River water quality changes in New Zealand over 26 years: response to land use intensity
Relationships between land use and water quality are complex with interdependencies, feedbacks, and legacy effects. Most river water quality studies have assessed catchment land use as areal coverage, but here, we hypothesize and test whether land use <i>intensity</i> – the inputs (ferti...
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doaj-c8d838d48f2745b9a35ff18e6485bbe62020-11-24T23:02:29ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382017-02-012121149117110.5194/hess-21-1149-2017River water quality changes in New Zealand over 26 years: response to land use intensityJ. P. Julian0K. M. de Beurs1B. Owsley2R. J. Davies-Colley3A.-G. E. Ausseil4Department of Geography, Texas State University, San Marcos, TX, USADepartment of Geography and Environmental Sustainability, The University of Oklahoma, Norman, OK, USADepartment of Geography and Environmental Sustainability, The University of Oklahoma, Norman, OK, USANational Institute of Water and Atmospheric Research (NIWA), Hamilton, New ZealandLandcare Research, Palmerston North, New ZealandRelationships between land use and water quality are complex with interdependencies, feedbacks, and legacy effects. Most river water quality studies have assessed catchment land use as areal coverage, but here, we hypothesize and test whether land use <i>intensity</i> – the inputs (fertilizer, livestock) and activities (vegetation removal) of land use – is a better predictor of environmental impact. We use New Zealand (NZ) as a case study because it has had one of the highest rates of agricultural land intensification globally over recent decades. We interpreted water quality state and trends for the 26 years from 1989 to 2014 in the National Rivers Water Quality Network (NRWQN) – consisting of 77 sites on 35 mostly large river systems. To characterize land use intensity, we analyzed spatial and temporal changes in livestock density and land disturbance (i.e., bare soil resulting from vegetation loss by either grazing or forest harvesting) at the catchment scale, as well as fertilizer inputs at the national scale. Using simple multivariate statistical analyses across the 77 catchments, we found that median visual water clarity was best predicted inversely by areal coverage of intensively managed pastures. The primary predictor for all four nutrient variables (TN, NO<sub><i>x</i></sub>, TP, DRP), however, was cattle density, with plantation forest coverage as the secondary predictor variable. While land disturbance was not itself a strong predictor of water quality, it did help explain outliers of land use–water quality relationships. From 1990 to 2014, visual clarity significantly improved in 35 out of 77 (34∕77) catchments, which we attribute mainly to increased dairy cattle exclusion from rivers (despite dairy expansion) and the considerable decrease in sheep numbers across the NZ landscape, from 58 million sheep in 1990 to 31 million in 2012. Nutrient concentrations increased in many of NZ's rivers with dissolved oxidized nitrogen significantly increasing in 27∕77 catchments, which we largely attribute to increased cattle density and legacy nutrients that have built up on intensively managed grasslands and plantation forests since the 1950s and are slowly leaking to the rivers. Despite recent improvements in water quality for some NZ rivers, these legacy nutrients and continued agricultural intensification are expected to pose broad-scale environmental problems for decades to come.http://www.hydrol-earth-syst-sci.net/21/1149/2017/hess-21-1149-2017.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
J. P. Julian K. M. de Beurs B. Owsley R. J. Davies-Colley A.-G. E. Ausseil |
spellingShingle |
J. P. Julian K. M. de Beurs B. Owsley R. J. Davies-Colley A.-G. E. Ausseil River water quality changes in New Zealand over 26 years: response to land use intensity Hydrology and Earth System Sciences |
author_facet |
J. P. Julian K. M. de Beurs B. Owsley R. J. Davies-Colley A.-G. E. Ausseil |
author_sort |
J. P. Julian |
title |
River water quality changes in New Zealand over 26 years: response to land use intensity |
title_short |
River water quality changes in New Zealand over 26 years: response to land use intensity |
title_full |
River water quality changes in New Zealand over 26 years: response to land use intensity |
title_fullStr |
River water quality changes in New Zealand over 26 years: response to land use intensity |
title_full_unstemmed |
River water quality changes in New Zealand over 26 years: response to land use intensity |
title_sort |
river water quality changes in new zealand over 26 years: response to land use intensity |
publisher |
Copernicus Publications |
series |
Hydrology and Earth System Sciences |
issn |
1027-5606 1607-7938 |
publishDate |
2017-02-01 |
description |
Relationships between land use and water quality are
complex with interdependencies, feedbacks, and legacy effects. Most river
water quality studies have assessed catchment land use as areal coverage,
but here, we hypothesize and test whether land use <i>intensity</i> – the
inputs (fertilizer, livestock) and activities (vegetation removal) of land
use – is a better predictor of environmental impact. We use New Zealand
(NZ) as a case study because it has had one of the highest rates of
agricultural land intensification globally over recent decades. We
interpreted water quality state and trends for the 26 years from 1989 to
2014 in the National Rivers Water Quality Network (NRWQN) – consisting of
77 sites on 35 mostly large river systems. To characterize land use intensity,
we analyzed spatial and temporal changes in livestock density and land
disturbance (i.e., bare soil resulting from vegetation loss by either grazing
or forest harvesting) at the catchment scale, as well as fertilizer inputs
at the national scale. Using simple multivariate statistical analyses across
the 77 catchments, we found that median visual water clarity was best
predicted inversely by areal coverage of intensively managed pastures. The
primary predictor for all four nutrient variables (TN,
NO<sub><i>x</i></sub>, TP, DRP), however, was cattle density,
with plantation forest coverage as the secondary predictor variable. While
land disturbance was not itself a strong predictor of water quality, it did
help explain outliers of land use–water quality relationships. From 1990 to
2014, visual clarity significantly improved in 35 out of 77 (34∕77) catchments, which we
attribute mainly to increased dairy cattle exclusion from rivers (despite
dairy expansion) and the considerable decrease in sheep numbers across the
NZ landscape, from 58 million sheep in 1990 to 31 million in 2012. Nutrient
concentrations increased in many of NZ's rivers with dissolved oxidized
nitrogen significantly increasing in 27∕77 catchments, which we largely
attribute to increased cattle density and legacy nutrients that have built
up on intensively managed grasslands and plantation forests since the 1950s
and are slowly leaking to the rivers. Despite recent improvements in water
quality for some NZ rivers, these legacy nutrients and continued
agricultural intensification are expected to pose broad-scale environmental
problems for decades to come. |
url |
http://www.hydrol-earth-syst-sci.net/21/1149/2017/hess-21-1149-2017.pdf |
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