scholarly journals A watershed approach to managing rainfed agriculture in the semiarid region of southern Mali: integrated research on water and land use

2018 ◽  
Vol 21 (5) ◽  
pp. 2459-2485 ◽  
Author(s):  
Birhanu Zemadim Birhanu ◽  
Kalifa Traoré ◽  
Murali Krishna Gumma ◽  
Félix Badolo ◽  
Ramadjita Tabo ◽  
...  
Keyword(s):  
Land Use ◽  
Semiarid Region ◽  
Rainfed Agriculture ◽  
Integrated Research ◽  
Watershed Approach

scholarly journals Agroforestry Systems of the Tehuacán-Cuicatlán Valley: Land Use for Biocultural Diversity Conservation

Land ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 24
Author(s):  
Mariana Vallejo ◽  
M. Isabel Ramírez ◽  
Alejandro Reyes-González ◽  
Jairo López-Sánchez ◽  
Alejandro Casas
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Agroforestry Systems ◽  
World Heritage Site ◽  
Biocultural Diversity ◽  
Semiarid Region ◽  
Agricultural Land Use ◽  
Visual Interpretation ◽  
Natural Ecosystems ◽  
Human Settlements

The Tehuacán-Cuicatlán Valley, Mexico, is the semiarid region with the richest biodiversity of North America and was recently recognized as a UNESCO's World Heritage site. Original agricultural practices remain to this day in agroforestry systems (AFS), which are expressions of high biocultural diversity. However, local people and researchers perceive a progressive decline both in natural ecosystems and AFS. To assess changes in location and extent of agricultural land use, we carried out a visual interpretation of very-high resolution imagery and field work, through which we identified AFS and conventional agricultural systems (CAS) from 1995 to 2003 and 2012. We analyzed five communities, representative of three main ecological and agricultural zones of the region. We assessed agricultural land use changes in relation to conspicuous landscape features (relief, rivers, roads, and human settlements). We found that natural ecosystems cover more than 85% of the territory in each community, and AFS represent 51% of all agricultural land. Establishment and permanence of agricultural lands were strongly influenced by gentle slopes and the existence of roads. Contrary to what we expected, we recorded agricultural areas being abandoned, thus favoring the regeneration of natural ecosystems, as well as a 9% increase of AFS over CAS. Agriculture is concentrated near human settlements. Most of the studied territories are meant to preserve natural ecosystems, and traditional AFS practices are being recovered for biocultural conservation.

scholarly journals Impact of spatiotemporal land-use and land-cover changes on surface urban heat islands in a semiarid region using Landsat data

2020 ◽  
pp. 1-21
Author(s):  
Ehsan Kamali Maskooni ◽  
Hossein Hashemi ◽  
Ronny Berndtsson ◽  
Peyman Daneshkar Arasteh ◽  
Mohammad Kazemi
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Urban Heat Islands ◽  
Semiarid Region ◽  
Land Cover Changes ◽  
Landsat Data ◽  
Heat Islands ◽  
Urban Heat

A Study of Change in Agricultural and Forest Land in Gwalior City Using Satellite Imagery

2017 ◽  
Vol 9 (02) ◽  
pp. 109-112
Author(s):  
Padam Jee Omar ◽  
Nitesh Gupta ◽  
Ravi Prakash Tripathi ◽  
Shiwanshu Shekhar ◽  
Surender .
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Arid Region ◽  
Local Population ◽  
High Rate ◽  
Semiarid Region ◽  
Change Analysis ◽  
Semi Arid Region ◽  
Semi Arid

The relative evaluation of land use and land cover for various uses such as forest, agriculture and water bodies etc. is the important issue in the semiarid region. Application of Remote Sensing technology for Land Use and Land Cover (LULC) change analysis has been carried out in semi-arid region of Madhya Pradesh, central part of India and found that the use of remote sensing along with Survey of India toposheets could be used appropriately for LULC mapping. The semi-arid regions are characterized by erratic rainfall and high rate of vegetation dynamics. The increasing biotic pressure together with increasing human demands exerts pressure on the available land resources all over the region. Therefore, in order to have best possible use of land, it is not only necessary to have the information on the existing LULC, but also to monitor the dynamic land use resulting because of increasing demands aroused from the growing population. Continuous overexploitation of natural resources like land, water, and forest has caused serious threat to the local population of the semi-arid region. This causes problems like little scope for soil moisture storage, high rate of soil erosion, declining groundwater level and shortage of drinking water

scholarly journals Carbon stocks and dynamics of different land uses on the Cerrado agricultural frontier

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0241637
Author(s):  
Emily Ane Dionizio ◽  
Fernando Martins Pimenta ◽  
Lucas Barbosa Lima ◽  
Marcos Heil Costa
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Sustainable Agriculture ◽  
Soil Carbon ◽  
Land Use Changes ◽  
Carbon Stocks ◽  
Land Uses ◽  
Rainfed Agriculture ◽  
Agricultural Frontier ◽  
Soil Carbon Stocks

The largest and most dynamic agricultural frontier in Brazil is known as MATOPIBA, an area that covers part of the Cerrado biome. Within this region, Western Bahia stands out as a large producer of soy and cotton. There are no studies that quantify carbon stocks for different land uses and land cover types in Western Bahia, which hinders comprehension of the role of agricultural expansion in carbon dynamics and the development of sustainable agriculture policies. Here, we evaluate how the land use changes in this region have affected the carbon balance in the aboveground biomass (AGB), belowground biomass (BGB), and soil reservoirs. We collected soil samples for areas with different land uses and land cover types to estimate soil carbon stocks (SCS) and combined remote sensing results and modeling techniques to develop a historical reconstruction of spatial patterns of SCS, AGB, and BGB during the period 1990–2018. The replacement of areas from the forest formations class with pasture and rainfed agriculture reduced the 100 cm depth SCS (SCS100) by 37.3% (p = 0.031) and 30.3% (p = 0.053), respectively. By contrast, the conversion of pasture and rainfed agriculture to irrigated agriculture increased SCS100 by 34% (p = 0.034) and 26.5% (p = 0.022), respectively. Spatial changes in historical carbon stocks are strongly associated with land use changes that occurred between 1990 and 2018. We estimated a non-significant loss of 61.9 Tg-C (p = 0.726) from the total carbon stocks (calculated as the sum of AGB, BGB, and SCS) of which 80% of the losses came from soil stocks, 11% from BGB, and 8% from AGB. These findings reveal the need to monitor carbon stocks in sandy soils to reduce the uncertainties of estimates and support the development of effective sustainable agriculture policies. The best alternatives for reducing carbon losses in the Cerrado are to maintain natural forest cover and to recover soils through sustainable soil management, especially in pasturelands where soil carbon stocks are lowest.

scholarly journals Characterizing Land Use Change in Multidisciplinary Landscape-Level Analyses

2003 ◽  
Vol 32 (1) ◽  
pp. 103-115 ◽  
Author(s):  
Jeffrey D. Kline
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Data Modeling ◽  
Coast Range ◽  
Ecological Processes ◽  
Land Use Modeling ◽  
Integrated Research ◽  
Spatial Specificity ◽  
Level Analysis ◽  
Landscape Level

Economists increasingly face opportunities to collaborate with ecologists on landscape-level analyses of socioeconomic and ecological processes. This often calls for developing empirical models to project land use change as input into ecological models. Providing ecologists with the land use information they desire can present many challenges regarding data, modeling, and econometrics. This paper provides an overview of the relatively recent adaptation of economics-based land use modeling methods toward greater spatial specificity desired in integrated research with ecologists. Practical issues presented by data, modeling, and econometrics are highlighted, followed by an example based on a multidisciplinary landscape-level analysis in Oregon's Coast Range mountains.

Assessment of land use and land cover changes and valuation of carbon stocks in the Sergipe semiarid region, Brazil: 1992–2030

2020 ◽  
Vol 99 ◽  
pp. 104795 ◽  
Author(s):  
Milton Marques Fernandes ◽  
Márcia Rodrigues de Moura Fernandes ◽  
Junior Ruiz Garcia ◽  
Eraldo Aparecido Trondoli Matricardi ◽  
André Quintão de Almeida ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Carbon Stocks ◽  
Semiarid Region ◽  
Land Cover Changes

Assessment of the JULES model surface soil moisture using in-situ observations over the Brazilian North East semiarid region

2020 ◽  
Author(s):  
Marcelo Zeri ◽  
Karina Williams ◽  
Eleanor Blyth ◽  
Ana Paula Cunha ◽  
Toby Marthews ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Soil Water ◽  
Land Surface ◽  
Semiarid Region ◽  
Drought Indices ◽  
Surface Model ◽  
Spatial And Temporal Variability ◽  
Drought Risk ◽  
Rainfed Agriculture ◽  
North East

<p>Monitoring of soil water is essential to assess drought risk over rainfed agriculture. Soil water indicates the onset or progress of dry spells, the start of the rainy season and good periods for sowing or harvesting. Monitoring soil water over rainfed agriculture can be a valuable tool to support field activities and the knowledge of climate risks.</p><p>A network of soil moisture sensors was established over the Brazilian North East semiarid region in 2015 with measurements at 10 and 20 cm, together with rainfall and other variables in a subset of locations. The data are currently being used to assess the available water over the region in monthly bulletins and reports of potential impacts on yields.</p><p>In this work, we present a comparison of a dataset of observations from 2015 to 2019 with the soil water estimated by the JULES land surface model (the Joint UK Land Environment Simulator). Overall, the model captures the spatial and temporal variability observed in the measured data well, with an average correlation coefficient of 0.6 across the domain. The performance was compared for each station, resulting in a selection of locations with significant correlation.</p><p>Based on the regression results, we derive modelled soil moisture for the time span of the JULES run (1979 to 2016). The modeled data enabled the calculation of a standardized soil moisture anomaly (SSMA). The values of SSMA in the period were in agreement with the patterns of drought in the region, especially the recent long-term drought in the Brazilian semiarid region, with significant dry years in 2012, 2013 and 2015. Further analysis will focus on comparisons with other drought indices and measures of impacts on yields at the municipality level.</p>

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