Micro-Regional and Regional Patterns of Habitation, Demography and land use

2003 ◽  
pp. 199-234
Keyword(s):  
Land Use ◽  
Regional Patterns

scholarly journals Assessing the Eutrophic Susceptibility of New Zealand Estuaries

2020 ◽  
Vol 43 (8) ◽  
pp. 2015-2033 ◽  
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.

scholarly journals A matrix clustering method to explore patterns of land-cover transitions in satellite-derived maps of the Brazilian Amazon

2017 ◽  
Vol 24 (1) ◽  
pp. 113-123 ◽  
Author(s):  
Finn Müller-Hansen ◽  
Manoel F. Cardoso ◽  
Eloi L. Dalla-Nora ◽  
Jonathan F. Donges ◽  
Jobst Heitzig ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Transition Probabilities ◽  
Brazilian Amazon ◽  
Regional Patterns ◽  
Local Climate ◽  
Tropical Regions ◽  
Land Cover Types ◽  
Socioeconomic Drivers ◽  
Land Cover Dynamics

Abstract. Changes in land-use systems in tropical regions, including deforestation, are a key challenge for global sustainability because of their huge impacts on green-house gas emissions, local climate and biodiversity. However, the dynamics of land-use and land-cover change in regions of frontier expansion such as the Brazilian Amazon are not yet well understood because of the complex interplay of ecological and socioeconomic drivers. In this paper, we combine Markov chain analysis and complex network methods to identify regimes of land-cover dynamics from land-cover maps (TerraClass) derived from high-resolution (30 m) satellite imagery. We estimate regional transition probabilities between different land-cover types and use clustering analysis and community detection algorithms on similarity networks to explore patterns of dominant land-cover transitions. We find that land-cover transition probabilities in the Brazilian Amazon are heterogeneous in space, and adjacent subregions tend to be assigned to the same clusters. When focusing on transitions from single land-cover types, we uncover patterns that reflect major regional differences in land-cover dynamics. Our method is able to summarize regional patterns and thus complements studies performed at the local scale.

scholarly journals Patterns of land-cover transitions from satellite imagery of the Brazilian Amazon

2016 ◽  
Author(s):  
Finn Müller-Hansen ◽  
Manoel F. Cardoso ◽  
Eloi L. Dalla-Nora ◽  
Jonathan F. Donges ◽  
Jobst Heitzig ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Satellite Imagery ◽  
Transition Probabilities ◽  
Brazilian Amazon ◽  
Regional Patterns ◽  
Local Climate ◽  
Tropical Regions ◽  
Land Cover Types ◽  
Land Cover Dynamics

Abstract. Changes in land-use systems in tropical regions, including deforestation, are a key challenge for global sustainability because of their huge impacts on green-house gas emissions, local climate and biodiversity. However, the dynamics of land-use and land-cover change in regions of frontier expansion such as the Brazilian Amazon is not yet well understood because of the complex interplay of ecological and socio-economic drivers. In this paper, we combine Markov chain analysis and complex network methods to identify regimes of land-cover dynamics from land-cover maps (TerraClass) derived from high-resolution (30 m) satellite imagery. We estimate regional transition probabilities between different land-cover types and use clustering analysis and community detection algorithms on similarity networks to explore patterns of dominant land-cover transitions. We find that land-cover transition probabilities in the Brazilian Amazon are heterogeneous in space and adjacent subregions tend to be assigned to the same clusters. When focusing on transitions from single land-cover types, we uncover patterns that reflect major regional differences in land-cover dynamics. Our method is able to summarize regional patterns and thus complements studies performed at the local scale.

Regional patterns of agricultural land use and deforestation in Colombia

2006 ◽  
Vol 114 (2-4) ◽  
pp. 369-386 ◽  
Author(s):  
Andrés Etter ◽  
Clive McAlpine ◽  
Kerrie Wilson ◽  
Stuart Phinn ◽  
Hugh Possingham
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Agricultural Land Use ◽  
Regional Patterns

Mining regional patterns of land use with adaptive adjacent criteria

2020 ◽  
Vol 47 (5) ◽  
pp. 418-431
Author(s):  
Xinmeng Tu ◽  
Zhenjie Chen ◽  
Beibei Wang ◽  
Changqing Xu
Keyword(s):  
Land Use ◽  
Regional Patterns

scholarly journals Land use and climatic factors structure regional patterns in soil microbial communities

2009 ◽  
Vol 19 (1) ◽  
pp. 27-39 ◽  
Author(s):  
Rebecca E. Drenovsky ◽  
Kerri L. Steenwerth ◽  
Louise E. Jackson ◽  
Kate M. Scow
Keyword(s):  
Land Use ◽  
Microbial Communities ◽  
Climatic Factors ◽  
Soil Microbial Communities ◽  
Regional Patterns ◽  
Soil Microbial

scholarly journals Remote land use impacts on river flows through atmospheric teleconnections

2018 ◽  
Vol 22 (8) ◽  
pp. 4311-4328 ◽  
Author(s):  
Lan Wang-Erlandsson ◽  
Ingo Fetzer ◽  
Patrick W. Keys ◽  
Ruud J. van der Ent ◽  
Hubert H. G. Savenije ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
River Flow ◽  
Water Governance ◽  
Land Use Changes ◽  
Land Use Impacts ◽  
Regional Patterns ◽  
River Flows ◽  
Moisture Recycling ◽  
Runoff Change

Abstract. The effects of land-use change on river flows have usually been explained by changes within a river basin. However, land–atmosphere feedback such as moisture recycling can link local land-use change to modifications of remote precipitation, with further knock-on effects on distant river flows. Here, we look at river flow changes caused by both land-use change and water use within the basin, as well as modifications of imported and exported atmospheric moisture. We show that in some of the world’s largest basins, precipitation was influenced more strongly by land-use change occurring outside than inside the basin. Moreover, river flows in several non-transboundary basins were considerably regulated by land-use changes in foreign countries. We conclude that regional patterns of land-use change and moisture recycling are important to consider in explaining runoff change, integrating land and water management, and informing water governance.

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