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• W2022151719 endingPage "209" @default.
• W2022151719 startingPage "192" @default.
• W2022151719 abstract "Chemical and sediment losses from agricultural lands are threatening coastal marine and aquatic ecosystems in many parts of the world. This is an acute problem in Australia, where the condition of Great Barrier Reef (GBR) ecosystems is threatened by increased pollutant loads from agricultural lands, and Governments have enacted policies to reduce pollutant exports. These policies raise the question of how to identify changes in land management that will effectively reduce exports. The scale of the GBR catchments (> 400,000 km2) precludes detailed modelling investigations, especially within the time scale of policy implementation. Therefore, we developed conceptual frameworks linking agricultural land management to river pollutant exports for two contrasting agricultural pollutants posing threats to the health of GBR ecosystems; dissolved inorganic nitrogen (DIN) and fine sediment (silt and clay), based on a synthesis of past studies. We argue that nitrogen (N) Surpluses (N inputs relative to crop N off-take), are the primary driver of DIN losses from agricultural land to rivers. Similarly, previous studies in GBR grazing lands and elsewhere have quantitatively defined how sediment losses from hill slopes, gullies and stream banks are related to grazing land condition, ground cover and riparian management, which are products of recent climate and grazing practices. From these frameworks we derive relationships between firstly, estimated N Surplus and DIN exports, and secondly ground cover and river fine sediment exports. Using these relationships we examine how DIN and fine sediment exports to the GBR may respond to a range of management scenarios for reducing N inputs, and increasing ground cover and improving riparian management. We predict that widespread adoption of the most extreme scenarios would approximately meet water quality improvement targets set/implied by governments for these two pollutants. However, it is unlikely that these extreme scenarios will be adopted to the extent needed and in the time frames set by current policy. In particular, the agri-environmental management practices defined in this study for N are generally unproven in GBR cropping systems, the required levels of pasture cover and riparian management are generally beyond current experience, and it can take decades to improve land condition, and so reduce erosion rates after cover increases. We also show that the approach taken is applicable to other pollutants, such as total N, that combine characteristics of the pollutants considered here. For the case of total N, the reductions in pollutant loads are not as great smaller relative to targets than for DIN or fine sediments." @default.
• W2022151719 created "2016-06-24" @default.
• W2022151719 creator A5044253731 @default.
• W2022151719 creator A5085092030 @default.
• W2022151719 date "2013-11-01" @default.
• W2022151719 modified "2023-10-06" @default.
• W2022151719 title "Conceptual frameworks for estimating the water quality benefits of improved agricultural management practices in large catchments" @default.
• W2022151719 cites W1513525005 @default.
• W2022151719 cites W1523443739 @default.
• W2022151719 cites W1531243848 @default.
• W2022151719 cites W1532480028 @default.
• W2022151719 cites W1564720990 @default.
• W2022151719 cites W1580474243 @default.
• W2022151719 cites W1875189746 @default.
• W2022151719 cites W1938855725 @default.
• W2022151719 cites W1963643698 @default.
• W2022151719 cites W1967750124 @default.
• W2022151719 cites W1970032927 @default.
• W2022151719 cites W1974413676 @default.
• W2022151719 cites W1978110877 @default.
• W2022151719 cites W1978914683 @default.
• W2022151719 cites W1979249939 @default.
• W2022151719 cites W1981550542 @default.
• W2022151719 cites W1984300049 @default.
• W2022151719 cites W1985226182 @default.
• W2022151719 cites W1988557494 @default.
• W2022151719 cites W1990543245 @default.
• W2022151719 cites W1992274280 @default.
• W2022151719 cites W1992450037 @default.
• W2022151719 cites W1993196697 @default.
• W2022151719 cites W1993661898 @default.
• W2022151719 cites W1993757666 @default.
• W2022151719 cites W2004682770 @default.
• W2022151719 cites W2010229054 @default.
• W2022151719 cites W2011842734 @default.
• W2022151719 cites W2017864543 @default.
• W2022151719 cites W2021531913 @default.
• W2022151719 cites W2021541668 @default.
• W2022151719 cites W2023181036 @default.
• W2022151719 cites W2024202592 @default.
• W2022151719 cites W2024491601 @default.
• W2022151719 cites W2028104079 @default.
• W2022151719 cites W2028271611 @default.
• W2022151719 cites W2029676235 @default.
• W2022151719 cites W2034756578 @default.
• W2022151719 cites W2036053850 @default.
• W2022151719 cites W2036538049 @default.
• W2022151719 cites W2036834347 @default.
• W2022151719 cites W2040036418 @default.
• W2022151719 cites W2040739180 @default.
• W2022151719 cites W2042947772 @default.
• W2022151719 cites W2043385936 @default.
• W2022151719 cites W2043386787 @default.
• W2022151719 cites W2046386337 @default.
• W2022151719 cites W2047031630 @default.
• W2022151719 cites W2047231043 @default.
• W2022151719 cites W2047738609 @default.
• W2022151719 cites W2048162184 @default.
• W2022151719 cites W2049434077 @default.
• W2022151719 cites W2053585487 @default.
• W2022151719 cites W2060624014 @default.
• W2022151719 cites W2061386693 @default.
• W2022151719 cites W2062500478 @default.
• W2022151719 cites W2064255630 @default.
• W2022151719 cites W2065302238 @default.
• W2022151719 cites W2068224373 @default.
• W2022151719 cites W2068696879 @default.
• W2022151719 cites W2070235266 @default.
• W2022151719 cites W2071304898 @default.
• W2022151719 cites W2072421941 @default.
• W2022151719 cites W2073491504 @default.
• W2022151719 cites W2073690493 @default.
• W2022151719 cites W2073754005 @default.
• W2022151719 cites W2074536655 @default.
• W2022151719 cites W2075238054 @default.
• W2022151719 cites W2077597399 @default.
• W2022151719 cites W2078127083 @default.
• W2022151719 cites W2080123711 @default.
• W2022151719 cites W2080861676 @default.
• W2022151719 cites W2084528839 @default.
• W2022151719 cites W2085140391 @default.
• W2022151719 cites W2086420919 @default.
• W2022151719 cites W2089120153 @default.
• W2022151719 cites W2089467870 @default.
• W2022151719 cites W2090585094 @default.
• W2022151719 cites W2098254977 @default.
• W2022151719 cites W2108167411 @default.
• W2022151719 cites W2110985329 @default.
• W2022151719 cites W2111376266 @default.
• W2022151719 cites W2117742717 @default.
• W2022151719 cites W2123260006 @default.
• W2022151719 cites W2125065961 @default.
• W2022151719 cites W2127635096 @default.
• W2022151719 cites W2130366392 @default.
• W2022151719 cites W2140025576 @default.
• W2022151719 cites W2140650259 @default.
• W2022151719 cites W2142697528 @default.
• W2022151719 cites W2144422028 @default.

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