Simulation of post-volcanic eruption time variant land use and economic impacts in the Auckland region of New Zealand

Abstract A description is provided for Pestalozziella subsessilis, a colonizer of living leaves, causing leaf spot symptoms leading to leaves fading and dying. Some information on its dispersal and transmission, economic impacts, infraspecific variation and conservation status is given, along with details of its geographical distribution (USA (Florida, Kansas, Louisiana, Mississippi, Missouri, New Jersey, Wisconsin), Kazakhstan, Russia, New Zealand, Austria, Bulgaria, Czech Republic, Germany, Hungary, Italy, Poland, Ukraine, and United Kingdom), hosts (Geranium carolinianum (leaf), G. collinum (leaf), G. columbianum (leaf), G. columbinum (leaf), G. macrorrhizum (leaf), G. maculatum (leaf), G. palustre (leaf), G. pratense (leaf), G. pusillum (leaf), G. pyrenaicum (leaf), G. robertianum (leaf), G. sanguineum (leaf), G. sylvaticum (leaf), G. wlassovianum (leaf), Geranium sp., and Oxypolis rigidor [Tiedemannia rigida]) and associated fungi Chaetomella raphigera.

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Linking Land Use Capability classes and APSIM to estimate pasture growth for regional land use planning

Soil Research ◽

10.1071/sr15018 ◽

2016 ◽

Vol 54 (1) ◽

pp. 94 ◽

Cited By ~ 5

Author(s):

Iris Vogeler ◽

Rogerio Cichota ◽

Josef Beautrais

Keyword(s):

Land Use ◽

New Zealand ◽

Land Use Planning ◽

Management Practices ◽

Growth Patterns ◽

Land Resource ◽

Pastoral Systems ◽

System Models ◽

Farm System ◽

The Impact

Investigation of land-use and management changes at regional scales require the linkage of farm-system models with land-resource information, which for pastoral systems includes forage supply. The New Zealand Land Resource Inventory (NZLRI) and associated Land Use Capability (LUC) database include estimates of the potential stock-carrying capacity across the country, which can be used to derive estimates of average annual pasture yields. Farm system models and decision support tools, however, require information on the seasonal patterns of pasture growth. To generate such pasture growth curves (PGCs), the Agricultural Production Systems Simulator (APSIM) was used, with generic soil profiles based on descriptions of LUC classes, to generate PGCs for three regions of New Zealand. Simulated annual pasture yields were similar to the estimates of annual potential pasture yield in the NZLRI spatial database, and they provided information on inter-annual variability. Simulated PGCs generally agreed well with measured long-term patterns of seasonal pasture growth. The approach can be used to obtain spatially discrete estimates of seasonal pasture growth patterns across New Zealand for use in farm system models and for assessing the impact of management practices and climate change on the regional sustainability.

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Geoglossum cookeanum. [Descriptions of Fungi and Bacteria].

IMI Descriptions of Fungi and Bacteria ◽

10.1079/dfb/20153347723 ◽

2015 ◽

Author(s):

D. W. Minter

Keyword(s):

Czech Republic ◽

New Zealand ◽

North America ◽

Geographical Distribution ◽

New Hampshire ◽

Western Australia ◽

Economic Impacts ◽

Conservation Status ◽

South Australia

Abstract A description is provided for Geoglossum cookeanum. Some information on its associated organisms and substrata, habitats, dispersal and transmission and conservation status is given, along with details of its geographical distribution (North America (Mexico and USA (Kentucky, Michigan, New Hampshire and Tenesse)), Asia (Georgia, India (Uttarakhand) and China (Guizhou, Heilongjiang, Jilin and Yunnan)), Australasia (Australia (South Australia, Tasmania, Victoria and Western Australia) and New Zealand), Europe (Austria, Belgium, Czech Republic, Denmark, Estonia, Finland, France, Germany, Ireland, Italy, Luxembourg, Netherlands, Norway, Poland, Russia, Slovakia, Spain, Sweden, Switzerland and UK)). No reports of negative economic impacts of this fungus have been found.

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Impacts of botanic gardens: economic, social, environmental, and health.

New directions in garden tourism ◽

10.1079/9781789241761.0008 ◽

2021 ◽

pp. 116-129

Author(s):

Richard W. Benfield

Keyword(s):

Social Justice ◽

New Zealand ◽

Environmental Health ◽

Environmental Sustainability ◽

Economic Impacts ◽

South Australia ◽

Botanical Garden ◽

The Usa ◽

African Plants ◽

Social Environmental

Abstract This chapter focuses on the economic impacts of gardens, presenting examples of regional economic impacts of gardens in the USA, UK and New Zealand. As important, the chapter also highlights the environmental, health, and social benefits of gardens in an era of environmental sustainability, and social justice. Case studies are presented of (1) the cultural benefits of Glenstone (USA), (2) the economic impact of the Australian Arid Lands Botanic Garden (South Australia), and (3) the Missouri Botanical Garden as a center for the study of African plants.

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Assessing the Eutrophic Susceptibility of New Zealand Estuaries

Estuaries and Coasts ◽

10.1007/s12237-020-00729-w ◽

2020 ◽

Vol 43 (8) ◽

pp. 2015-2033 ◽

Cited By ~ 1

Author(s):

David R. Plew ◽

John R. Zeldis ◽

Bruce D. Dudley ◽

Amy L. Whitehead ◽

Leigh M. Stevens ◽

...

Keyword(s):

Land Use ◽

New Zealand ◽

Physical Properties ◽

Nutrient Loading ◽

Management Strategies ◽

Nutrient Concentrations ◽

Intertidal Area ◽

Land Use Patterns ◽

Regional Patterns ◽

Nitrogen Concentrations

Abstract We developed a method to predict the susceptibility of New Zealand estuaries to eutrophication. This method predicts macroalgae and phytoplankton responses to potential nutrient concentrations and flushing times, obtained nationally from simple dilution models, a GIS land-use model and physical estuary properties. Macroalgal response was based on an empirically derived relationship between potential nitrogen concentrations and an established macroalgal index (EQR) and phytoplankton response using an analytical growth model. Intertidal area was used to determine which primary producer was likely to lead to eutrophic conditions within estuaries. We calculated the eutrophication susceptibility of 399 New Zealand estuaries and assigned them to susceptibility bands A (lowest expected impact) to D (highest expected impact). Twenty-seven percent of New Zealand estuaries have high or very high eutrophication susceptibilities (band C or D), mostly (63% of band C and D) due to macroalgae. The physical properties of estuaries strongly influence susceptibility to macroalgae or phytoplankton blooms, and estuaries with similar physical properties cluster spatially around New Zealand’s coasts. As a result, regional patterns in susceptibility are apparent due to a combination of estuary types and land use patterns. The few areas in New Zealand with consistently low estuary eutrophication susceptibilities are either undeveloped or have estuaries with short flushing times, low intertidal area and/or minimal tidal influx. Estuaries with conditions favourable for macroalgae are most at risk. Our approach provides estuary-integrated susceptibility scores likely to be of use as a regional or national screening tool to prioritise more in-depth estuary assessments, to evaluate likely responses to altered nutrient loading regimes and assist in developing management strategies for estuaries.

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