一个计算和提供昆士兰牧场长期承载能力信息的在线系统。第2部分:建模和输出

IF 1.2 4区 环境科学与生态学 Q4 ECOLOGY
Rangeland Journal Pub Date : 2021-01-01 DOI:10.1071/rj20088
B. Zhang, G. Fraser, J. Carter, G. Stone, S. Irvine, G. Whish, J. Willcocks, G. McKeon
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引用次数: 2

摘要

利用野外数据和模型相结合的方法估算了昆士兰州牧场家畜的长期承载能力(LTCC)。这些方法经过综合,并与科学和信息技术的最新发展相结合,通过FORAGE在线系统提供了一种全自动的LTCC建模方法。在这项研究中,我们使用GRASP模型来模拟昆士兰州225种土地类型的牧场生长,并定义了参数集和安全牧场利用率。利用到供水点的距离来评估牧场对牲畜的可及性。空间分析根据围场、土地类型和到水点的距离将该属性划分为独特的区域,并在次围场尺度上估计牧场生长、牧场利用和可达性。为了处理树与草相互作用的非线性关系,采用13个叶片投影覆盖(FPC)类对牧草系统进行建模。作为“概念验证”,利用遥感单个日期的绿色地表覆盖数据来优化GRASP模型参数以提高模型性能,并通过蒙特卡罗分析为模型结果提供不确定性估计。该框架为LTCC的估计提供了一种高效、标准化的方法。为了测试该系统,将43个“基准”属性的ltcc与模拟ltcc进行了比较,65%的模拟ltcc与基准ltcc的误差在±25%以内。由于模型输入在属性尺度和模型模拟中存在不确定性,因此应将建模的LTCC作为进一步细化实际属性LTCC的起点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An online system for calculating and delivering long-term carrying capacity information for Queensland grazing properties. Part 2: modelling and outputs
A combination of field data and models have been used to estimate long-term carrying capacity (LTCC) of domestic livestock in Queensland grazing lands. These methods have been synthesised and coupled with recent developments in science and information technology to provide a fully-automated approach of modelling LTCC through the FORAGE online system. In this study, the GRASP model was used to simulate pasture growth with parameter sets and safe pasture utilisation rates defined for 225 land types across Queensland. Distance to water points was used to assess the accessibility of pastures to livestock. Spatial analysis classified the property into unique areas based on paddock, land type and distance to water points, which estimated pasture growth, pasture utilisation and accessibility at a sub-paddock scale. Thirteen foliage projective cover (FPC) classes were used in modelling the pasture system to deal with the non-linear relationship between tree and grass interactions. As ‘proof of concept’, remotely-sensed individual-date green ground cover data were used to optimise the GRASP model parameters to improve the model performance, and a Monte Carlo analysis provided uncertainty estimates for model outcomes. The framework provides an efficient and standardised method for estimating LTCC. To test the system, LTCCs from 43 ‘benchmark’ properties were compared with simulated LTCCs, and 65% of the modelled LTCCs were within ± 25% of the benchmark LTCCs. Due to uncertainties in model inputs at the property scale and in model simulation, the modelled LTCC should be used as a starting point for further refinement of actual property LTCC.
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来源期刊
Rangeland Journal
Rangeland Journal 环境科学-生态学
CiteScore
2.90
自引率
8.30%
发文量
14
审稿时长
>36 weeks
期刊介绍: The Rangeland Journal publishes original work that makes a significant contribution to understanding the biophysical, social, cultural, economic, and policy influences affecting rangeland use and management throughout the world. Rangelands are defined broadly and include all those environments where natural ecological processes predominate, and where values and benefits are based primarily on natural resources. Articles may present the results of original research, contributions to theory or new conclusions reached from the review of a topic. Their structure need not conform to that of standard scientific articles but writing style must be clear and concise. All material presented must be well documented, critically analysed and objectively presented. All papers are peer-reviewed. The Rangeland Journal is published on behalf of the Australian Rangeland Society.
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