scholarly journals The changing face of southern New Zealand farming: opportunities of land use change

2012 ◽  
pp. 1-6
Author(s):  
R.J. Copland ◽  
D.R. Stevens
Keyword(s):  
Land Use ◽  
New Zealand ◽  
Land Use Change ◽  
Dairy Cows ◽  
Social Influences ◽  
Family Ownership ◽  
Marginal Land ◽  
Dairy Sheep ◽  
The Past ◽  
Potential Land

Southern New Zealand has seen major changes in land use in the past 20 years with the rise in dairy cows in milk from 149 000 in 1994 to 682 000 in 2010, while breeding ewe numbers have declined from 11.2 million to 7.3 million over the same period. The development of milking platforms with a significant need for winter dairy grazing has opened up many opportunities for sheep, beef and deer farmers in the region. The need to remain profitable, displacement of sheep to more marginal land, and social influences such as retaining family ownership have encouraged farmers to make the most of potential land-use change opportunities. Three case studies outline the changes made and potential profitability increases in dairy conversion, flexible sheep and beef operations and improved deer production, with cash surplus after expenses being more than doubled in each case. Keywords: land use, profit, dairy, sheep, beef, deer.

scholarly journals Perubahan dan Prediksi Penggunaan Lahan Menggunakan Markov – Cellular Automata di Kota Batu

2020 ◽  
Vol 22 (2) ◽  
pp. 202-211
Author(s):  
Fahrizal Kreshna Yudichandra ◽  
Widiatmaka Widiatmaka ◽  
Syaiful Anwar
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Land Use Change ◽  
Agricultural Land ◽  
Apple Orchards ◽  
Land Use Conversion ◽  
The Past ◽  
Open Land ◽  
Environment Sustainability ◽  
Potential Land

Along with the development of Batu City as a tourist city, it is feared that there will be an increase in land use conversion from apple orchards and other agricultural land into residential and tourism land. The rate of land use change must be controlled to maintain environment sustainability. One of the effort is studying the change that occurred in the past few years. The purpose of this study were to observe land use change pattern that occured in 2006, 2012, and 2018, and to predict the land use at 2030 in Batu City. Land use prediction was evaluated with Markov – Cellular Automata models. The analysis showed that forest area decreased up to 5% and the built area increased up to 5.2% from 2006 to 2018. Prediction of land use in 2030 showed that there will be a decrease in forest, agriculture, and bareland areas, and an increase in shrubs and built areas. Agricultural land needs to be directed to be protected or conserved, while shrubs and open land need to be directed into potential land for apple orchards development in Batu City.

scholarly journals Estimating historical land use patterns in Amazonia for hydrological studies

2017 ◽  
Vol 8 (4) ◽  
pp. 189-197
Author(s):  
Christiane Cavalcante Leite ◽  
Marcos Heil Costa ◽  
Ranieri Carlos Ferreira de Amorim
Keyword(s):  
Land Use ◽  
Water Resources ◽  
Land Use Change ◽  
Census Data ◽  
Land Use Patterns ◽  
Use Patterns ◽  
The Past ◽  
The World ◽  
Historical Land Use ◽  
Past Land Use

The evaluation of the impacts of land-use change on the water resources has been, many times, limited by the knowledge of past land use conditions. Most publications on this field present only a vague description of the past land use, which is usually insufficient for more comprehensive studies. This study presents the first reconstruction of the historical land use patterns in Amazonia, that includes both croplands and pasturelands, for the period 1940-1995. During this period, Amazonia experienced the fastest rates of land use change in the world, growing 4-fold from 193,269 km2 in 1940 to 724,899 km2 in 1995. This reconstruction is based on a merging of satellite imagery and census data, and provides a 5'x5' yearly dataset of land use in three different categories (cropland, natural pastureland and planted pastureland) for Amazonia. This dataset will be an important step towards understanding the impacts of changes in land use on the water resources in Amazonia.

scholarly journals Comparative Analysis of Bioenergy Crop Impacts on Water Quality Using Static and Dynamic Land Use Change Modeling Approach

Water ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 410 ◽  
Author(s):  
Eeshan Kumar ◽  
Dharmendra Saraswat ◽  
Gurdeep Singh
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Land Use Change ◽  
Assessment Tool ◽  
Swat Model ◽  
State Agency ◽  
Bioenergy Crops ◽  
Marginal Land ◽  
Cache River ◽  
Land Area

Researchers and federal and state agency officials have long been interested in evaluating location-specific impact of bioenergy energy crops on water quality for developing policy interventions. This modeling study examines long-term impact of giant miscanthus and switchgrass on water quality in the Cache River Watershed (CRW) in Arkansas, United States. The bioenergy crops were simulated on marginal lands using two variants of a Soil and Watershed Assessment Tool (SWAT) model. The first SWAT variant was developed using a static (single) land-use layer (regular-SWAT) and for the second, a dynamic land-use change feature was used with multiple land use layers (location-SWAT). Results indicated that the regular-SWAT predicted larger losses for sediment, total phosphorus and total nitrogen when compared to location-SWAT at the watershed outlet. The lower predicted losses from location-SWAT were attributed to its ability to vary marginal land area between 3% and 11% during the 20-year modeling period as opposed to the regular-SWAT that used a fixed percentage of marginal land area (8%) throughout the same period. Overall, this study demonstrates that environmental impacts of bioenergy crops were better assessed using the dynamic land-use representation approach, which would eliminate any unintended prediction bias in the model due to the use of a single land use layer.

scholarly journals The past, present and future impacts of climate and land use change on snowshoe hares along their southern range boundary

2020 ◽  
Vol 249 ◽  
pp. 108731
Author(s):  
Evan C. Wilson ◽  
Benjamin Zuckerberg ◽  
M. Zachariah Peery ◽  
Jonathan N. Pauli
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Range Boundary ◽  
The Past ◽  
Snowshoe Hares

Combined demographic and resource models quantify the effects of potential land-use change on the endangered Carnaby's cockatoo ( Calyptorhynchus latirostris )

2017 ◽  
Vol 210 ◽  
pp. 8-15 ◽  
Author(s):  
Matthew R. Williams ◽  
Colin J. Yates ◽  
Denis A. Saunders ◽  
Rick Dawson ◽  
Geoff W. Barrett
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Potential Land

scholarly journals Land Use Projections Under Alternative Policies: A Transition Matrix Approach

1979 ◽  
Vol 8 (2) ◽  
pp. 87-99 ◽  
Author(s):  
Bruce E. Lindsay ◽  
Daniel L. Dunn
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Land Use Planning ◽  
Current Trend ◽  
Land Use Policy ◽  
Decision Makers ◽  
Policy Makers ◽  
The Past ◽  
Accelerated Growth ◽  
Insight Into

As a result of accelerated growth during the past decade, land use change over time and its accompanying problems represents a policy area germane to New Hampshire. Accurate projections of the future pattern of land use would be helpful to decision makers responsible for land use policy. Such projections could assist policy makers either directly in formulating land use plans or indirectly in justifying the need (or lack of need) for overt land use planning. Future projections, based upon various alternative land use policy scenarios, will increase the quantitative supply of information to decision makers in a two-fold manner. First, such estimates provide an insight into the current trend in land use mix and, secondly, give an overview of what impacts various policies directly have upon land use change.

Agricultural land use change and associated driving forces over the past 180 years in two municipalities of the Brazilian Cerrado

GeoJournal ◽  
2018 ◽  
Vol 84 (3) ◽  
pp. 555-570 ◽  
Author(s):  
Murilo Rodrigues de Arruda ◽  
Maja Slingerland ◽  
José Zilton Lopes Santos ◽  
Ken E. Giller
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Agricultural Land ◽  
Driving Forces ◽  
Agricultural Land Use ◽  
Brazilian Cerrado ◽  
The Past

scholarly journals Grassland production under global change scenarios for New Zealand pastoral agriculture

2014 ◽  
Vol 7 (5) ◽  
pp. 2359-2391 ◽  
Author(s):  
E. D. Keller ◽  
W. T. Baisden ◽  
L. Timar ◽  
B. Mullan ◽  
A. Clark
Keyword(s):  
Climate Change ◽  
Land Use ◽  
New Zealand ◽  
Land Use Change ◽  
Model Parameters ◽  
Agricultural Activity ◽  
High Fertility ◽  
Climate Change Scenarios ◽  
Pasture Production ◽  
N Cycle

Abstract. We adapt and integrate the Biome-BGC and Land Use in Rural New Zealand models to simulate pastoral agriculture and to make land-use change, intensification of agricultural activity and climate change scenario projections of New Zealand's pasture production at time slices centred on 2020, 2050 and 2100, with comparison to a present-day baseline. Biome-BGC model parameters are optimised for pasture production in both dairy and sheep/beef farm systems, representing a new application of the Biome-BGC model. Results show up to a 10% increase in New Zealand's national pasture production in 2020 under intensification and a 1–2% increase by 2050 from economic factors driving land-use change. Climate change scenarios using statistically downscaled global climate models (GCMs) from the IPCC Fourth Assessment Report also show national increases of 1–2% in 2050, with significant regional variations. Projected out to 2100, however, these scenarios are more sensitive to the type of pasture system and the severity of warming: dairy systems show an increase in production of 4% under mild change but a decline of 1% under a more extreme case, whereas sheep/beef production declines in both cases by 3 and 13%, respectively. Our results suggest that high-fertility systems such as dairying could be more resilient under future change, with dairy production increasing or only slightly declining in all of our scenarios. These are the first national-scale estimates using a model to evaluate the joint effects of climate change, CO2 fertilisation and N-cycle feedbacks on New Zealand's unique pastoral production systems that dominate the nation's agriculture and economy. Model results emphasise that CO2 fertilisation and N-cycle feedback effects are responsible for meaningful differences in agricultural systems. More broadly, we demonstrate that our model output enables analysis of decoupled land-use change scenarios: the Biome-BGC data products at a national or regional level can be re-sampled quickly and cost-effectively for specific land-use change scenarios and future projections.

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