scholarly journals Assessing human and environmental pressures of global land-use change 2000–2010

2019 ◽  
Vol 2 ◽  
Author(s):  
Felix Creutzig ◽  
Christopher Bren d'Amour ◽  
Ulf Weddige ◽  
Sabine Fuss ◽  
Tim Beringer ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Land Use Changes ◽  
Spatially Explicit ◽  
Agricultural Expansion ◽  
Land Uses ◽  
Environmental Pressures ◽  
World Regions ◽  
Global Land ◽  
Spatially Explicit Data

Non-technical summaryGlobal land is turning into an increasingly scarce resource. We here present a comprehensive assessment of co-occuring land-use change from 2000 until 2010, compiling existing spatially explicit data sources for different land uses, and building on a rich literature addressing specific land-use changes in all world regions. This review systematically categorizes patterns of land use, including regional urbanization and agricultural expansion but also globally telecoupled land-use change for all world regions. Managing land-use change patterns across the globe requires global governance.

The HYDE 3.1 spatially explicit database of human-induced global land-use change over the past 12,000 years

2010 ◽  
Vol 20 (1) ◽  
pp. 73-86 ◽  
Author(s):  
Kees Klein Goldewijk ◽  
Arthur Beusen ◽  
Gerard Van Drecht ◽  
Martine De Vos
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Spatially Explicit ◽  
The Past ◽  
Global Land

scholarly journals Global land use changes are four times greater than previously estimated

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Karina Winkler ◽  
Richard Fuchs ◽  
Mark Rounsevell ◽  
Martin Herold
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Land Use Changes ◽  
Open Data ◽  
Biodiversity Loss ◽  
Change Processes ◽  
Societal Challenges ◽  
Global Land ◽  
Global North

AbstractQuantifying the dynamics of land use change is critical in tackling global societal challenges such as food security, climate change, and biodiversity loss. Here we analyse the dynamics of global land use change at an unprecedented spatial resolution by combining multiple open data streams (remote sensing, reconstructions and statistics) to create the HIstoric Land Dynamics Assessment + (HILDA +). We estimate that land use change has affected almost a third (32%) of the global land area in just six decades (1960-2019) and, thus, is around four times greater in extent than previously estimated from long-term land change assessments. We also identify geographically diverging land use change processes, with afforestation and cropland abandonment in the Global North and deforestation and agricultural expansion in the South. Here, we show that observed phases of accelerating (~1960–2005) and decelerating (2006–2019) land use change can be explained by the effects of global trade on agricultural production.

scholarly journals Land Use Changes in Ciudad Juárez, Chihuahua: A Systems Dynamic Model

2007 ◽  
Vol 8 (16) ◽  
pp. 65-89 ◽  
Author(s):  
Sergio Peña ◽  
César M. Fuentes
Keyword(s):  
Complex System ◽  
Land Use ◽  
Land Use Change ◽  
Urban Growth ◽  
Land Use Changes ◽  
Land Development ◽  
Simulation Models ◽  
Ciudad Juarez ◽  
Land Uses ◽  
The City

The objective of this article is to offer a model to simulate land use changes in Ciudad Juárez, Chihuahua, Mexico. The city faces serious challenges posed by accelerated demographic and urban growth. In its struggle to respond to urban land development pressures, governments, planning agencies and social civil organizations are overwhelmed by a multitude of concerns. The analysis of land use change revolves around two central and interrelated questions: What drives/ causes land use change? What are the environmental and socio-demographic impacts of land change? The land use changes are approached as a complex system in which the elements that define the system and how these relate to each are identified. The development of dynamic simulation models that allow for the generation of different scenarios can be an important tool for urban planning. The software used to simulate the land uses changes is Stella®. The results of the model simulated the demand for land among different land uses (commercial, industrial and residential) in the next 10 or 20 years.

scholarly journals Analysis of Akure Urban Land Use Change Detection from Remote Imagery Perspective

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Julius Oluranti Owoeye ◽  
Oyewole Amos Ibitoye
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Change Detection ◽  
Land Use Changes ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Uses ◽  
Imagery Perspective ◽  
Urban Land Use Change ◽  
The City

This study presents the analysis of Akure urban land use change detection from remote imagery perspective. Efforts were made to examine the direction that the continuous expansion of the city tends towards since its inception as a state capital in 1976. Using Aerial Imagery Overlay (AIO), the pattern of land use changes in Akure and its environs were determined. This involves imageries interpolation and overlaying to determine the land use changes, direction, and extent of the expansion. Findings revealed unguided expansion in the growth of the city which affects the pattern of land uses within the city and, by extension, into the adjoining settlements. There were incompatible conversions in land uses and undue encroachment into green areas in the adjoining communities. The study suggests effective zoning strategy on unguided nature of urban development whose effects on land use are very prominent in the study area. Adequate monitoring by the Development Control Department and other stakeholders in urban planning is equally suggested to mitigate the incompatible land use changes in the area.

scholarly journals Spatiotemporal Patterns of Land-Use Changes in Lithuania

Land ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 619
Author(s):  
Daiva Juknelienė ◽  
Vaiva Kazanavičiūtė ◽  
Jolanta Valčiukienė ◽  
Virginija Atkocevičienė ◽  
Gintautas Mozgeris
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Land Management ◽  
Land Use Changes ◽  
Ordinary Least Squares ◽  
Primary Objective ◽  
Moran’S I ◽  
Land Uses ◽  
Moran's I ◽  
Management Policies

The spatially explicit assessment of land use and land-use change patterns can identify critical areas and provide insights to improve land management policies and associated decisions. This study mapped the land uses and land-use changes in Lithuanian municipalities since 1971. Additionally, an analysis was conducted of three shorter periods, corresponding to major national land-use policy epochs. Data on land uses, available from the Lithuanian National Forest Inventory (NFI) and collected on an annual basis with the primary objective of conducting greenhouse gas (GHG) accounting and reporting for the land use, land-use change, and forestry (LULUCF) sectors, were explored. The overall trend in Lithuania during the last five decades has been an increase in the area of forest and built-up land and decrease in the area of producing land, meadow/pasture, wetlands, and other land uses. Nevertheless, the development trends for the proportions of producing land and meadow/pasture changed trajectories several times, and the breakpoints were linked with important dates in Lithuanian history and associated with the reorganization of land management and land-use relations. Global Moran’s I statistic and Anselin Local Moran’s I were used to check for global and local patterns in the distribution of land use in Lithuanian municipalities. The proportions of producing land and pasture/meadow remained spatially autocorrelated during the whole period analysed. Local spatial clusters and outliers were identified for all land-use types used in GHG inventories in the LULUCF sector at all the time points analysed. Ordinary least squares (OLS) regression was used to explain the land-use change trends during several historical periods due to differing land management policies, utilizing data from freely available databases as the regressors. The percentage of variance explained by the models ranged from 37 to 65, depending on the land-use type and the period in question.

scholarly journals Biodiversity data obsolescence and land uses changes

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e2743 ◽  
Author(s):  
Nora Escribano ◽  
Arturo H. Ariño ◽  
David Galicia
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Small Mammals ◽  
Land Use Changes ◽  
Steady Increase ◽  
Distribution Data ◽  
Sampling Effort ◽  
Land Uses ◽  
Biodiversity Data ◽  
Biodiversity Patterns

BackgroundPrimary biodiversity records (PBR) are essential in many areas of scientific research as they document the biodiversity through time and space. However, concerns about PBR quality and fitness-for-use have grown, especially as derived from taxonomical, geographical and sampling effort biases. Nonetheless, the temporal bias stemming from data ageing has received less attention. We examine the effect of changes in land use in the information currentness, and therefore data obsolescence, in biodiversity databases.MethodsWe created maps of land use changes for three periods (1956–1985, 1985–2000 and 2000–2012) at 5-kilometres resolution. For each cell we calculated the percentage of land use change within each period. We then overlaid distribution data about small mammals, and classified each data as ‘non-obsolete or ‘obsolete,’ depending on both the amount of land use changes in the cell, and whether changes occurred at or after the data sampling’s date.ResultsA total of 14,528 records out of the initial 59,677 turned out to be non-obsolete after taking into account the changes in the land uses in Navarra. These obsolete data existed in 115 of the 156 cells analysed. Furthermore, more than one half of the remaining cells holding non-obsolete records had not been visited at least for the last fifteen years.ConclusionLand use changes challenge the actual information obtainable from biodiversity datasets and therefore its potential uses. With the passage of time, one can expect a steady increase in the availability and use of biological records—but not without them becoming older and likely to be obsolete by land uses changes. Therefore, it becomes necessary to assess records’ obsolescence, as it may jeopardize the knowledge and perception of biodiversity patterns.

scholarly journals Rates and potentials of soil organic carbon sequestration in agricultural lands in Japan: an assessment using a process-based model and spatially-explicit land-use change inventories

2013 ◽  
Vol 10 (11) ◽  
pp. 18359-18406 ◽  
Author(s):  
Y. Yagasaki ◽  
Y. Shirato
Keyword(s):  
Land Use ◽  
Organic Carbon ◽  
Land Use Change ◽  
Soil Organic Carbon ◽  
Land Use Changes ◽  
Future Climate ◽  
Spatially Explicit ◽  
Agricultural Activity ◽  
Agricultural Lands ◽  
Land Use Types

Abstract. In order to develop a system to estimate a country-scale soil organic carbon stock change (SCSC) in agricultural lands in Japan that enables to take account effect of land-use changes, climate, different agricultural activity and nature of soils, a spatially-explicit model simulation system using Rothamsted Carbon Model (RothC) integrated with spatial and temporal inventories was developed. Future scenarios on agricultural activity and land-use change were prepared, in addition to future climate projections by global climate models, with purposely selecting rather exaggerated and contrasting set of scenarios to assess system's sensitivity as well as to better factor out direct human influence in the SCSC accounting. Simulation was run from year 1970 to 2008, and to year 2020, with historical inventories and future scenarios involving target set in agricultural policy, respectively, and subsequently until year 2100 with no temporal changes in land-use and agricultural activity but with varying climate to investigate course of SCSC. Results of the country-scale SCSC simulation have indicated that conversion of paddy fields to croplands occurred during past decades, as well as a large conversion of agricultural fields to settlements or other lands that have occurred in historical period and would continue in future, could act as main factors causing greater loss of soil organic carbon (SOC) at country-scale, with reduction organic carbon input to soils and enhancement of SOC decomposition by transition of soil environment to aerobic conditions, respectively. Scenario analysis indicated that an option to increase organic carbon input to soils with intensified rotation with suppressing conversion of agricultural lands to other land-use types could achieve reduction of CO2 emission due to SCSC in the same level as that of another option to let agricultural fields be abandoned. These results emphasize that land-use changes, especially conversion of the agricultural lands to other land-use types by abandoning or urbanization accompanied by substantial changes in the rate of organic carbon input to soils, could cause a greater or comparable influence on country-scale SCSC compared with changes in management of agricultural lands. A net-net based accounting on SCSC showed potential influence of variations in future climate on SCSC, that highlighted importance of application of process-based model for estimation of this quantity. Whereas a baseline-based accounting on SCSC was shown to have robustness over variations in future climate and effectiveness to factor out direct human-induced influence on SCSC. Validation of the system's function to estimate SCSC in agricultural lands, by comparing simulation output with data from nation-wide stationary monitoring conducted during year 1979–1998, suggested that the system has an acceptable levels of validity, though only for limited range of conditions at current stage. In addition to uncertainties in estimation of the rate of organic carbon input to soils in different land-use types at large-scale, time course of SOC sequestration, supposition on land-use change pattern in future, as well as feasibility of agricultural policy planning are considered as important factors that need to be taken account in estimation on a potential of country-scale SCSC.

scholarly journals Integrated assessment of the impact of climate and land use changes on groundwater quantity and quality in Mancha Oriental (Spain)

2014 ◽  
Vol 11 (9) ◽  
pp. 10319-10364 ◽  
Author(s):  
M. Pulido-Velazquez ◽  
S. Peña-Haro ◽  
A. Garcia-Prats ◽  
A. F. Mocholi-Almudever ◽  
L. Henriquez-Dole ◽  
...  
Keyword(s):  
Land Use ◽  
Global Change ◽  
Land Use Change ◽  
Groundwater Flow ◽  
Land Use Changes ◽  
Integrated Modelling ◽  
Land Uses ◽  
Nitrate Concentrations ◽  
Groundwater Quantity ◽  
And Storage

Abstract. Climate and land use change (global change) impacts on groundwater systems cannot be studied in isolation, as various and complex interactions in the hydrological cycle take part. Land-use and land-cover (LULC) changes have a great impact on the water cycle and contaminant production and transport. Groundwater flow and storage are changing in response not only to climatic changes but also to human impacts on land uses and demands (global change). Changes in future climate and land uses will alter the hydrologic cycles and subsequently impact the quantity and quality of regional water systems. Predicting the behavior of recharge and discharge conditions under future climatic and land use changes is essential for integrated water management and adaptation. In the Mancha Oriental system in Spain, in the last decades the transformation from dry to irrigated lands has led to a significant drop of the groundwater table in one of the largest groundwater bodies in Spain, with the consequent effect on stream-aquifer interaction in the connected Jucar River. Streamflow depletion is compromising the related ecosystems and the supply to the downstream demands, provoking a complex management issue. The intense use of fertilizer in agriculture is also leading to locally high groundwater nitrate concentrations. Understanding the spatial and temporal distribution of water availability and water quality is essential for a proper management of the system. In this paper we analyze the potential impact of climate and land use change in the system by using an integrated modelling framework consisting of the sequentially coupling of a watershed agriculturally-based hydrological model (SWAT) with the ground-water model MODFLOW and mass-transport model MT3D. SWAT model outputs (mainly groundwater recharge and pumping, considering new irrigation needs under changing ET and precipitation) are used as MODFLOW inputs to simulate changes in groundwater flow and storage and impacts on stream-aquifer interaction. SWAT and MODFLOW outputs (nitrate loads from SWAT, groundwater velocity field from MODFLOW) are used as MT3D inputs for assessing the fate and transport of nitrate leached from the topsoil. Results on river discharge, crop yields, groundwater levels and groundwater nitrate concentrations obtained from simulation fit well to the observed values. Three climate change scenarios have been considered, corresponding to 3 different GCMs for emission scenario A1B, covering the control period, and short, medium and long-term future periods. A multi-temporal analysis of LULC change was carried out, helped by the study of historical trends by remote sensing images and key driving forces to explain LULC transitions. Markov chains and European scenarios and projections have been used to quantify trends in the future. The cellular automata technique was applied for stochastic modeling future LULC maps. The results show the sensitivity of groundwater quantity and quality (nitrate pollution) to climate and land use changes, and the need to implement adaptation measures in order to prevent further groundwater level declines and increasing nitrate concentrations. The sequential modelling chain has been proved to be a valuable assessment and management tool for supporting the development of sustainable management strategies.

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