scholarly journals Land use change: understanding and managing soil dynamics

2010 ◽  
Vol 122 (2) ◽  
pp. 29
Author(s):  
Richard MacEwan ◽  
Keith Reynard ◽  
Nathan Robinson ◽  
Mark Imhof ◽  
Elizabeth Morse-Mcnabb ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Spatial Information ◽  
Soil Health ◽  
Farming Systems ◽  
Soil Condition ◽  
Soil Dynamics ◽  
Catchment Management ◽  
The North ◽  
Farm Scale

Lessons of the past show that care for the soil is fundamental to the rise and sustainability of agrarian civilisations. The responsibility for this care devolves to individual farmers, land managers and investors in agricultural production, all of whom are, by default, soil custodians. Soil condition is affected by land use practices; understanding the dynamics of soil and land use interaction is therefore critical in achieving sustainable soil management and the maintenance of soil health. Understanding and managing this dynamic requires good data and sound knowledge of farming systems and their interaction with soil properties and processes. The North Central Catchment Management Authority (NCCMA) region has soil and land use data at a range of scales that can assist in understanding the region’s soil assets with respect to current and future farming systems. Programs that fully engage farmers in planning for soil health, and provide appropriate tools and information, will be a cornerstone for managing soil dynamics under pressure from climate and land use change. This paper explains the contexts in which soil spatial information and land use data are collected, provides examples for the NCCMA region, and briefly describes the challenge of providing soil information at the farm scale.

scholarly journals Multi-Temporal Built-Up Grids of Brazilian Cities: How Trends and Dynamic Modelling Could Help on Resilience Challenges?

2021 ◽  
Vol 13 (2) ◽  
pp. 748
Author(s):  
Iana Rufino ◽  
Slobodan Djordjević ◽  
Higor Costa de Brito ◽  
Priscila Barros Ramalho Alves
Keyword(s):  
Land Use ◽  
Urban Planning ◽  
Cellular Automata ◽  
Land Use Change ◽  
Spatial Pattern ◽  
Urban Growth ◽  
Spatial Information ◽  
Dynamic Modelling ◽  
Urban Models ◽  
Extreme Hazards

The northeastern Brazilian region has been vulnerable to hydrometeorological extremes, especially droughts, for centuries. A combination of natural climate variability (most of the area is semi-arid) and water governance problems increases extreme events’ impacts, especially in urban areas. Spatial analysis and visualisation of possible land-use change (LUC) zones and trends (urban growth vectors) can be useful for planning actions or decision-making policies for sustainable development. The Global Human Settlement Layer (GHSL) produces global spatial information, evidence-based analytics, and knowledge describing Earth’s human presence. In this work, the GHSL built-up grids for selected Brazilian cities were used to generate urban models using GIS (geographic information system) technologies and cellular automata for spatial pattern simulations of urban growth. In this work, six Brazilian cities were selected to generate urban models using GIS technologies and cellular automata for spatial pattern simulations of urban sprawl. The main goal was to provide predictive scenarios for water management (including simulations) and urban planning in a region highly susceptible to extreme hazards, such as floods and droughts. The northeastern Brazilian cities’ analysis raises more significant challenges because of the lack of land-use change field data. Findings and conclusions show the potential of dynamic modelling to predict scenarios and support water sensitive urban planning, increasing cities’ coping capacity for extreme hazards.

Soil carbon losses in conventional farming systems due to land-use change in the Brazilian semi-arid region

2020 ◽  
Vol 287 ◽  
pp. 106690 ◽  
Author(s):  
Aldair de Souza Medeiros ◽  
Stoécio Malta Ferreira Maia ◽  
Thiago Cândido dos Santos ◽  
Tâmara Cláudia de Araújo Gomes
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Soil Carbon ◽  
Arid Region ◽  
Farming Systems ◽  
Conventional Farming ◽  
Semi Arid Region ◽  
Carbon Losses ◽  
Semi Arid

scholarly journals The response of North Atlantic diadromous fish to multiple stressors, including land use change: a multidecadal study

2016 ◽  
Vol 73 (12) ◽  
pp. 1759-1769 ◽  
Author(s):  
Elvira de Eyto ◽  
Catherine Dalton ◽  
Mary Dillane ◽  
Eleanor Jennings ◽  
Philip McGinnity ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
North Atlantic ◽  
Salmo Trutta ◽  
Multiple Stressors ◽  
Ecosystem Approach ◽  
Data Sets ◽  
Diadromous Fish ◽  
The North ◽  
The Impact

Reduction of freshwater habitat quality due to land use change can have major impacts on diadromous fish. Partitioning this impact from other potential drivers, such as changing marine conditions and climate, is hampered by a lack of long-term data sets. Here, four decades of data were used to assess the impact of land use change on Salmo salar and anadromous Salmo trutta in the Burrishoole catchment, Ireland, one of the few index sites for diadromous fish in the North Atlantic. Land use change was found to have no significant impact on the freshwater survival of either salmon or trout. However, climate impacted significantly on the survival of salmon and trout in fresh water, with poor survival in years with wetter, warmer winters, coinciding with positive North Atlantic Oscillation values. Additionally, cold springs were associated with higher survival in trout. The addition of hatchery fish into the salmon spawning cohort coincided with low freshwater survival. Our results highlight the necessity for a broad ecosystem approach in any conservation effort of these species.

scholarly journals Tracing the influence of land-use change on water quality and coral reefs using a Bayesian model

2017 ◽  
Author(s):  
Christopher J. Brown ◽  
Stacy D. Jupiter ◽  
Simon Albert ◽  
Carissa J. Klein ◽  
Sangeeta Mangubhai ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Land Use Change ◽  
Bayesian Model ◽  
Coastal Zone Management ◽  
Water Clarity ◽  
Catchment Management ◽  
Zone Management ◽  
Sources Of Pollution ◽  
Poor Water Quality

AbstractCoastal ecosystems can be degraded by poor water quality. Tracing the causes of poor water quality back to land-use change is necessary to target catchment management for coastal zone management. However, existing models for tracing the sources of pollution require extensive data-sets which are not available for many of the world’s coral reef regions that may have severe water quality issues. Here we develop a hierarchical Bayesian model that uses freely available satellite data to infer the connection between land-uses in catchments and water clarity in coastal oceans. We apply the model to estimate the influence of land-use change on water clarity in Fiji. We tested the model’s predictions against underwater surveys, finding that predictions of poor water quality are consistent with observations of high siltation and low coverage of sediment-sensitive coral genera. The model thus provides a means to link land-use change to declines in coastal water quality.

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