Water erosion aspects of land degradation neutrality to landscape planning tools at national scale

Geoderma ◽  
2020 ◽  
Vol 363 ◽  
pp. 114093 ◽  
Author(s):  
Selma Beatriz Pena ◽  
Maria Manuela Abreu ◽  
Manuela Raposo Magalhães ◽  
Nuno Cortez
Keyword(s):  
Land Degradation ◽  
Landscape Planning ◽  
Water Erosion ◽  
National Scale ◽  
Planning Tools

The Risk of Water Erosion on the Foothills of the Middle High Atlas (Morocco): Tagueleft Basin Case Study : خطر التعرية المائية على السفوح بالأطلس الكبير الأوسط (المغرب): دراسة حالة حوض تاكلفت

2020 ◽  
Vol 4 (3) ◽  
Author(s):  
Rizki Mohamed
Keyword(s):  
Land Degradation ◽  
Local Development ◽  
Remote Sensing Data ◽  
Potential Method ◽  
Water Erosion ◽  
High Atlas ◽  
Negative Impacts ◽  
The Impact

The Tagueleft basin is geographically located in the northern edges of the Middle High Atlas, which is a geomorphological fragile area. The impact of human activity has accelerated water erosion in this mountains area. This is reflected in dynamic and unstable foothills, a decrease in forests density and degradation in the production of the land. On the other hand, land degradation due to human overexploitation of natural resources has increased land degradation in the area. The interest in the risk of erosion on the foothills in the area under study comes in the context of our contribution to clarify the role of geomatical and geomorphological approaches in explaining and identifying the mechanisms responsible for current foothills dynamism through water erosion and its negative impacts on the environment and local development. The aim of the study was to use the EPM (Erosion Potential Méthod) which is formulated by Slobodan Gavrilovic for erosion in mountainous areas and to test the reliability of its results based on fieldwork and remote sensing data. The results of the erosion assessment and its quantification by applying the coefficient (W) for the theoretical model in the area under study have shown that erosion is very important and it touches on wide areas as it appears through the domain classification of the distribution erosion in Tagueleft basin.

Incorporating vegetation trends to the MEDALUS-ESA approach for assessing environmental sensitivity at the national scale: the case of Kenya

2021 ◽  
Author(s):  
Elias Symeonakis ◽  
Eva Arnau-Rosalén ◽  
Antony Wandera ◽  
Thomas Higginbottom ◽  
Bradley Cain
Keyword(s):  
National Parks ◽  
Land Degradation ◽  
Vegetation Index ◽  
Sub Saharan Africa ◽  
Mitigation Measures ◽  
Environmental Sensitivity ◽  
National Scale ◽  
Livestock Density ◽  
Normalised Difference Vegetation Index ◽  
Sub Saharan

<p>Land degradation is one of the main causes of loss of productivity and ecosystem services worldwide. According to the United Nations Convention to Combat Desertification (UNCCD), sub-Saharan Africa is on a path to experiencing some of the strongest increases in pressures on land and land-based resources than any other continent. Assessing the sensitivity of sub-Saharan African countries to land degradation is, therefore, important for identifying areas of concern, setting a baseline for national land degradation neutrality targets, and for the prioritisation of mitigation measures. The widely used MEDALUS-ESA framework is employed here to assess the sensitivity of Kenya to land degradation using the year 2010 as a baseline. We modify the MEDALUS-ESA approach by adding two important variables that are closely linked with observed land degradation in Kenya: soil erosion and livestock density. Altogether, 16 indicators are estimated from existing global-to-national-scale land cover, vegetation (MCD12Q1, MOD44B), soil (ISRIC African SoilGrids), elevation (SRTM), population and livestock density data, divided into 4 main environmental quality indices (vegetation, soil, climate and management). In order to address the dynamic nature of the land degradation process, we incorporate two additional vegetation indicators: the statistically significant (p≤ 0.05) trend over the last three decades in the Normalised Difference Vegetation Index (NDVI) and the Rain Use Efficiency (RUE; estimated using the GIMMS3g dense NDVI dense time-series and precipitation from CHIRPS). Our results show that ~40% of the country is in critical and ~48% in fragile condition, with respect to environmental sensitivity. Our approach is successful in identifying areas of known long-term degradation, for example the rangelands South and East of Nairobi (e.g. Machacos and Kitengela) and the parts of the northern rangelands (e.g. Yamicha and eastern parts of Isiolo District). It is also successful in mapping the areas of least concern, including some of the major protected areas(e.g. Tsavo National Parks, Meru National Park and the Masai Mara National Reserve) and forested areas (Mt Kenya and the Aberdares). Our modification of the MEDALUS-ESA is an important tool that can be employed at the national scale using free and open-access data to assess environmental sensitivity and assist in the UNCCD efforts to successfully define land degradation neutrality targets.</p>

A model-based integrated assessment of land degradation by water erosion in a valuable Spanish rangeland

2014 ◽  
Vol 55 ◽  
pp. 201-213 ◽  
Author(s):  
J. Ibáñez ◽  
J.F. Lavado Contador ◽  
S. Schnabel ◽  
M. Pulido Fernández ◽  
J. Martínez Valderrama
Keyword(s):  
Land Degradation ◽  
Integrated Assessment ◽  
Water Erosion ◽  
Model Based

scholarly journals Assessing Land Use and Land Cover Change and Farmers’ Perceptions of Deforestation and Land Degradation in South-West Côte d’Ivoire, West Africa

Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 429
Author(s):  
Jean-Luc Kouassi ◽  
Amos Gyau ◽  
Lucien Diby ◽  
Yeboi Bene ◽  
Christophe Kouamé
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Cote D'ivoire ◽  
Land Degradation ◽  
Côte D’Ivoire ◽  
Landscape Planning ◽  
Household Survey ◽  
Lulc Change ◽  
Cote D’Ivoire ◽  
Côte D'ivoire

Deforestation and land degradation remain two major economic and environmental threats in Côte d’Ivoire. This study assessed land use and land cover (LULC) change and farmers’ perceptions of the drivers and effects of deforestation and land degradation in south-western Côte d’Ivoire. We used remotely sensed data to determine LULC change trends, and a household survey to collect farmers’ perceptions of deforestation and land degradation. A total of 411 households were interviewed using a structured questionnaire and the focus group discussions involved 25 farmers. Landsat image analysis reported a drastic LULC change and a conversion of forestlands into agriculture from 1987 to 2015 at a rate of 1.44%/year and 3.44%/year for dense forests and degraded forests, respectively. The household survey revealed that the major causes of deforestation perceived by farmers included population growth (79.3%), extensive agriculture (72.9%), migration (54.2%) and logging (47.7%). Land degradation evolved, from a shortened fallow period (46.7%) and an inappropriate application of inputs (31.4%). The perceived major effects linked to deforestation encompassed land degradation (70.6%), loss of biodiversity (63.8%), global warming (56.9%) and loss of livelihood assets (54.3%). Therefore, this study recommends participatory landscape planning, reforestation and capacity building of stakeholders for sustainable intensification of the production systems to reduce LULC challenges for enhanced productive and protective functions of remaining forests.

A web based Geospatial Decision Support System to quantify the impact of soil sealing on soil functions

2020 ◽  
Author(s):  
Piero Manna ◽  
Angelo Basile ◽  
Antonello Bonfante ◽  
Amedeo D'Antonio ◽  
Carlo De Michele ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Land Degradation ◽  
Landscape Planning ◽  
Scientific Publication ◽  
Spatial Decision Support System ◽  
Soil Sealing ◽  
Eu Project ◽  
The Impact

<p>Soil sealing is considered one of the most dangerous land degradation processes on global, European and national scales. Numerous policies aiming to mitigate this soil threat testify the importance of the phenomenon, which however is continuously growing, or at least does not shows signs of abating. Here we would show a spatial decision support system (S-DSS) – based on a Geospatial Cyberinfrastructure – with the aim of applying it as an operational instrument aiming towards soil sealing mitigation. The system developed within the framework of the LANDSUPPORT EU project (www.landsupport.eu) started on May 2018 has the ambition to impact on those who take decision over soil sealing issues.  It currently represents an evolution of a previous S-DSS tool named Soil sealing and landscape planning, still operational and described in a scientific publication (https://doi.org/10.1002/ldr.2802). The system, focusing on mitigating such crucial land degradation, allows the users - freely and via the Web – to produce ‘what-if’ land planning scenarios thanks to the ‘on-the-fly’ modelling engines. Therefore, integrated geospatial quantitative data and procedures may be directly and freely used by planners. The system is continuously evolving and is thought to function on the fly from local (administrative limits) to the European scale, addressing among others the issues of rural fragmentation, loss of soil ecosystem services, estimates of soil sealing evolution over time, etc. The tool is being developed with the help of end users and indirectly explores a change of paradigm where soil science and landscape/urban planning work together to provide operational instruments that may be adopted by local communities in addressing soil sealing issues with a proactive approach.</p>

scholarly journals Estimation of Land Degradation Loss by Water Erosion: Case of the Site of Biological and Ecological Interest of Ain Asmama (Western High Atlas, Morocco)

2021 ◽  
Vol 6 (3) ◽  
pp. 241-247
Author(s):  
Adnane Labbaci ◽  
Said Moukrim ◽  
Said Lahssini ◽  
Said Laaribya ◽  
Hicham Mharzi Alaoui ◽  
...  
Keyword(s):  
Land Degradation ◽  
Water Erosion ◽  
High Atlas

scholarly journals THE METRIZATION LANDSCAPE BIOCENTRIC-NETWORK CONFIGURATION WITHIN THLEFT-BANK THE DNIPRO RIVER OF UKRAINE TERRITORY

2017 ◽  
pp. 70-77
Author(s):  
V. Udovychenko
Keyword(s):  
Landscape Planning ◽  
Left Bank ◽  
Network Configuration ◽  
Future Possibility ◽  
The Future ◽  
Planning Tools ◽  
The Matrix ◽  
Methodical Basis ◽  
Scientific Results ◽  
Mapping Models

The biocentric-network configuration of landscapes (BNCL) is understood as a variety of biocenters that located at the matrix of landscapes and along which the biotic migrations take places. The theoretic-methodological contemporary apparatus of BNCL exploration formed by scientific results which we could find out in works of European and Ukrainian scientists, in particular: A. Buchek, Ja. Lazina, I. Ljov, P Kavaljauskas, R. Forman, M. Godron, M. Grodzinskyi, P. Shyschenko, V. Paschenko, S. Kukurudza, etc. Nevertheless, lack of works which could clarify questions of landscape representativeness and metrization BNCL under conditions of considerable fragmented and anthropogenic territories leads us to accomplishment becoming exploration. Thus, the aim of the article is to determine landscape representiveness (at the levels of type, and sort of landscape complexes) of BNCL by using results of our mapping modelling of landscape-typological structure of the Left-Bank the Dnipro river of Ukraine territory, the structure of BNCL and the nature reserved fund, which could be a good background for choosing criteria of landscape planning typological units distinguishing and for the future possibility of usage it for the purpose of landscape planning tools implementation. The region of the exploration – the Left-Bank the Dnipro river of Ukraine territory – is understood as a totality of four administration region of Ukraine, such as Poltavsjka, Sumsjka, Harkivsjka, and Chernighivsjka. The levels of landscape representiveness were determined by using GIS-parcel MapInfo Professional 10.0.1, and type, and sort of landscape complexes data, including 1 552 objects of nature reserved fund (by 1.11.2016). The methodical basis of the research is formed by the system of methods such as mapping, graphical, statistic, analysis, and synthesis, etc., especially the method of laying on to each other the mapping models of sort of landscape, the nature reserve fund, and the BNCL structure of the Left-Bank the Dnipro river of Ukraine territory done by the author. The level of landscape representiveness of landscapes sorts by the elements of BNCL is understood as plurality it on the unit of a biocentric area. According to the received results of region landscape representiveness calculation at the level of sort of landscapes, we summarized that same objects of BNCL has high or low level of its. The metrization of elements the BNCL structure helps us to distinguish “central” and “provincial” biocenters. Altogether, received results of graphical and matrix modeling the BNCL will be a good background for the future landscape planning tools implementation.

scholarly journals The landscape diversity and the diversity of the landscape structure within mixed-forest complexes of the Dnipro river left bank territory of Ukraine (on the example of the tested research area)

2016 ◽  
pp. 369-385
Author(s):  
Viktoriia Udovychenko
Keyword(s):  
Graphical Models ◽  
Landscape Structure ◽  
Landscape Planning ◽  
Mixed Forest ◽  
Morphological Structure ◽  
Research Area ◽  
Landscape Diversity ◽  
Left Bank ◽  
The North ◽  
Planning Tools

The purpose of this article is directed to the characterization of the key features and results of the landscape diversity and diversity of the landscape genetic-morphological structure metrization within the mixed-forest complexes of the Dnipro River left bank territory of Ukraine on the example of the tested research area for the needs of future landscape-planning tools elaboration and implementation in the region. The definition of “landscape diversity” and its initial concept are briefly depictured in this article. For the reason of solving the key goal, much emphasis has been placed on the mathematical notations according to which the landscape diversity was established. The metrization of the landscape diversity was done on the example of the tested area situated in the north part of Novgorod-Siversk physiographic region by using the proposed algorithm, and a group of methodical approaches and principles that helped to distinguish the specific features, and by using the group of structural block parameters. Much of the efforts have been tailored to specify the landscape diversity of the tested area by using such parameters as taxonomic and typological, horologic and topologic, individual topologic diversity, integral level of structure complicacy, taxonomic presentation, taxonomic dispersion, and entropy; their development specificity. The results of analysis are visualized in a form of mapping model and graphical models. Also, an emphasis is placed on the opportunity of using obtained results for the landscape planning tools vali-dation. Key words: landscape diversity, landscape structure, mixed-forest complex, mathematical notation, parameter.

scholarly journals Spatial analysis of Samara region land degradation and differentiation of antierosion territory organization

2020 ◽  
Vol 27 ◽  
pp. 00142
Author(s):  
E. V. Samokhvalova ◽  
S. N. Zudilin ◽  
O. A. Lavrennikova
Keyword(s):  
Spatial Analysis ◽  
Soil Fertility ◽  
Land Degradation ◽  
Agricultural Land ◽  
Water Erosion ◽  
Economic Losses ◽  
Erosion Processes ◽  
Degradation Factor ◽  
Key Points ◽  
Factor Coefficient

In the research, a spatial analysis of the degradation of Samara region agricultural land with the assessment of economic losses due to water erosion is carried out. A map chart of the distribution of districts with different degrees of erosion has also been developed. The values of the degradation factor coefficient and economic losses due to the influence of erosion processes are calculated. The key points of antierosion territory organization and land regulation depending on landscape nature and kind of damage are represented. The plan of action for the antierosion territory organization of a farm in Kinelsky district is proposed and its effectiveness to stop and prevent erosion processes, as well as for rational use of land and increase soil fertility is shown.

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