Modelling the abundance of three key plant species in New Zealand hill-pasture using a decision tree approach

Wan, Liqiang; Zhang, Baisen; Kemp, Peter; Li, Xianglin

doi:10.1016/j.ecolmodel.2009.04.031

Cited by 8 publications

(13 citation statements)

References 26 publications

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“…For the example in Table 3, it is assumed that farm fertility is quite good and that there is enough clover present to fix 60 kg of nitrogen per hectare. In farm situations with low fertility, applying less than 20 kg phosphorous as phosphate per hectare, or in low rainfall areas where the amount of nitrogen being fixed will be less than 60 kg per hectare (Wan et al 2009), more fertiliser will need to be applied to balance the nutrient budget. It is also assumed that there is no requirement for potassium as there is enough clay to provide an adequate supply that may be mined.…”

Section: Methodsmentioning

confidence: 99%

The role of technology transfer to improve fertiliser use efficiency

Grafton

Yule

2015

Food Sec.

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Over the past 80 years, crop yields under developed agriculture have increased rapidly. However, in many countries the rate of increase has slowed significantly. In some areas of the world such as Europe, nutrient inputs have been significantly reduced and yields have stagnated, while in other parts of the world the amount of nutrients applied have been constant with moderate yield increases. In either case, farmers are seeking to improve nutrient use efficiency. The potential to increase yields is significant. The greatest potential exists in areas where yields are low and limited by a readily remedied limiting factor; a situation often encountered in developing nations where nutrient deficiencies persist. Yield response to nutrient application where no other limiting factor exists, is invariably a diminishing return curve, showing strong increases in yield with initial additions of nutrients then plateauing with increasing applications. Remote sensing by satellite and wireless communications offer an opportunity to identify limiting factors in crops globally and provide timely management information to farm managers to control inputs or adjust practices. In the developing world, the use of remote sensed data may be a required focus area, where services are provided and information dispersed, to assist farmers. For example climate and surface temperature monitoring could improve fertiliser efficacy by scheduling applications when soil moisture conditions allow uptake of nutrient, whilst also preventing applications prior to deluges, which would cause fertiliser run off to waterways. This paper explores the use of remote sensing technologies to improve efficiency of fertiliser use.

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Section: Methodsmentioning

confidence: 99%

The role of technology transfer to improve fertiliser use efficiency

Grafton

Yule

2015

Food Sec.

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“…Before taking action towards improving hill country pastures, it is necessary to determine the factors that can be controlled by farmers and the response that they will confer to the whole system in terms of pasture pasture species, such as Lolium perenne and Trifolium repens have potentially high herbage accumulation rates and nutritive value. These species respond to regular application of P fertiliser and to grazing management that keeps the pasture cover under control (Lambert et al 1986;Wan et al 2009). Fertiliser application stimulates pasture growth and soil biological activity, thus soil from fertilised paddocks holds more water in the pore sizes <300 µm, <150 µm, <60 µm and <30 µm than soil from non-fertilised paddocks (López et al 2003b).…”

Section: Sustainable Management Of the Pastoral Systemmentioning

confidence: 99%

Hill country pastures in the southern North Island of New Zealand: an overview

Campbell¹,

Kemp²

2016

NZGA R&P Series

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The 4 million ha of hill country pastures in New Zealand grow mostly on steep slopes and soils of naturally low soil fertility. Pastures are based on approximately 25 exotic species introduced within the last 130 years after the forest was cleared and burnt. Despite the environmental constraints and naturalised species, hill country is a major contributor to agricultural exports. The landscape and the pastures are spatially diverse, with slope and aspect strongly influencing the abundance and production of pasture species. The number of pasture species present is relatively stable, but the relative abundance of high fertility grass species (e.g. perennial ryegrass, Lolium perenne), low fertility grass species (e.g. browntop, Agrostis capillaris) and legumes (e.g. white clover, Trifolium repens) can be shifted towards high fertility grass species and legumes through the interaction of phosphate fertiliser application and grazing decisions (that is, sheep versus cattle, stocking rate, grazing management). Increased proportions of desirable species and improved soil fertility and structure can support sustainable farming systems. There are challenges such as soil erosion and nutrient loss into waterways, but these are more readily managed when the pastoral system is productive and profitable. Keywords: slope, pasture condition, browntop, perennial ryegrass, soil characteristics

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“…En Nueva Zelanda, el modelamiento ha sido introducido en estudios medio ambientales y ecológicos, demostrando una gran aplicabilidad y exactitud en sus predicciones. Por esta razón han sido utilizados para predecir la productividad de la pradera (Wan et al, 2009), para calcular dosis de fertilizante nitrogenado y fósforo (Zhang et al, 2007), y para predecir la abundancia de grupos funcionales de especies (Zhang et al, 2005).…”

Section: Utilización De Modelosunclassified

“…Los Modelos de árboles de decisión son un tipo de data mining el cual ha sido ampliamente usado en ciencias sociales y en los últimos años incorporado al modelamiento ambiental con una alta precisión en sus predicciones (Yang et al, 2003;Zhang et al, 2005;Corson et al, 2007;Wan et al, 2009;Duff et al, 2012).…”

Section: áRbol De Decisiónunclassified

“…La salida del modelo ha determinado los factores más influyentes sobre la pradera relacionando las condiciones ambientales y de manejo con el incremento o disminución de la productividad de materia seca. El valor obtenido en el coeficiente de determinación sugieren que el modelo de árbol de decisión puede ser utilizado como una herramienta para predecir la productividad de una pradera y también respalda la utilización que se le ha dado en otras áreas para predecir grupos funcionales de especies y productividad estacional (Zhang et al, 2005;Wan et al, 2009).…”

Section: Análisis Del Modelounclassified

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Modelo de Árbol de Decisión: una herramienta para el manejo de la pradera

Pazmiño¹,

López²,

Kemp³

et al. 2016

agrosur

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The pasture is the main productive resource in the south of Chile. The dry matter productivity is related to the environment and efficient resource management. However the interrelationship between the factors involved in pasture productivity is a difficulty due to the large amount of information required to analyze. One way to determine the relationship between pasture productivity and environment is through decision trees models. These models can predict the potential effect of the environment and management applied. The objective of this review is to introduce the use of decision tree model as a tool for pasture management.

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Modelling the abundance of three key plant species in New Zealand hill-pasture using a decision tree approach

Cited by 8 publications

References 26 publications

The role of technology transfer to improve fertiliser use efficiency

The role of technology transfer to improve fertiliser use efficiency

Hill country pastures in the southern North Island of New Zealand: an overview

Modelo de Árbol de Decisión: una herramienta para el manejo de la pradera

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