Major drivers of land degradation risk in Western Serbia: Current trends and future scenarios

Perović, Velјko; Kadović, Ratko; Djurdjević, Vladimir; Pavlović, Dragana; Pavlović, Marija; Čakmak, Dragan; Mitrović, Miroslava; Pavlović, Pavle

doi:10.1016/j.ecolind.2021.107377

Cited by 33 publications

(13 citation statements)

References 61 publications

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Section: Esa Approachmentioning

confidence: 99%

“…It was developed within the MEDALUS (Mediterranean Desertification And Land Use) project [70] to evaluate the level of vulnerability to land degradation of the study area by means of a simple indicator-based scheme assessing four components: climate, soil, vegetation, and land management. Standard indices concerning each component were commonly used alone or in combination; in fact, they can be integrated or removed depending on data availability and specific environmental and socioeconomic contexts [71]. They contribute to the computation of the respective quality index: Climate Quality Index (CQI), Soil Quality Index (SQI), Vegetation Quality Index (VQI) and Land Management Quality Index (MQI), as the geometric mean of the different scores associated to each input variable.…”

Section: Esa Approachmentioning

confidence: 99%

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Modeling Spatio-Temporal Divergence in Land Vulnerability to Desertification with Local Regressions

et al. 2022

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Taken as a classical issue in applied economics, the notion of ‘convergence’ is based on the concept of path dependence, i.e., from the previous trajectory undertaken by the system during its recent history. Going beyond social science, a ‘convergence’ perspective has been more recently adopted in environmental studies. Spatial convergence in non-linear processes, such as desertification risk, is a meaningful notion since desertification represents a (possibly unsustainable) development trajectory of socio-ecological systems towards land degradation on a regional or local scale. In this study, we test—in line with the classical convergence approach—long-term equilibrium conditions in the evolution of desertification processes in Italy, a European country with significant socioeconomic and environmental disparities. Assuming a path-dependent development of desertification risk in Italy, we provided a diachronic analysis of the Environmental Sensitive Area Index (ESAI), estimated at a disaggregated spatial resolution at three times (1960s, 1990s, and 2010s) in the recent history of Italy, using a spatially explicit approach based on geographically weighted regressions (GWRs). The results of local regressions show a significant path dependence in the first time interval (1960–1990). A less significant evidence for path-dependence was observed for the second period (1990–2010); in both cases, the models’ goodness-of-fit (global adjusted R2) was satisfactory. A strong polarization along the latitudinal gradient characterized the first observation period: Southern Italian land experienced worse conditions (e.g., climate aridity, urbanization) and the level of land vulnerability in Northern Italy remained quite stable, alimenting the traditional divergence in desertification risk characteristic of the country. The empirical analysis delineated a more complex picture for the second period. Convergence (leading to stability, or even improvement, of desertification risk) in some areas of Southern Italy, and a more evident divergence (leading to worse environmental conditions because of urban sprawl and crop intensification) in some of the land of Northern Italy, were observed, leading to an undesired spatial homogenization toward higher vulnerability levels. Finally, this work suggests the importance of spatially explicit approaches providing relevant information to design more effective policy strategies. In the case of land vulnerability to degradation in Italy, local regression models oriented toward a ‘convergence’ perspective, may be adopted to uncover the genesis of desertification hotspots at both the regional and local scale.

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Section: Esa Approachmentioning

confidence: 99%

Section: Esa Approachmentioning

confidence: 99%

Modeling Spatio-Temporal Divergence in Land Vulnerability to Desertification with Local Regressions

et al. 2022

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“…Therefore, the details received from SPEI is valuable for the risk sensitive urban development. (Perović, et al, 2021;Stajkowski, et al, 2021) State of the art in risk sensitive urban development: A systematic literature review Approach Description References…”

Section: -Evapotranspiration Index (Spei)mentioning

confidence: 99%

State of the art in risk sensitive urban development: A systematic literature review.

Damsari¹,

Thayaparan²,

Fernando³

2022

Proceedings of 10th World Construction Symposium 2022

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Risk-sensitive urban development is an innovative planning approach that can transform the way cities are built in order to face the uncertainties that arise from climate-induced disaster risks. There are many actions taken by individuals, households, communities, urban development companies and relevant regulatory bodies to manage the risk through the risk sensitive urban development methods. However, there is a disconnection between the existing urban development projects and urban risk management process. Therefore, urban developers and disaster risk managers should understand each other and collaborate in order to provide a solution for this disconnection. In this regard, identifying the state of the art of a risk sensitive urban development is beneficial for both urban development and disaster management authorities to achieve their objectives. This study therefore explores the state of art revealing indices, models, concepts, tools and approaches which guide both urban developers and disaster managers to achieve risk sensitive urban development. A systematic literature review using PRISMA method covering the publications from 2017 to 2022 was carried out to identify the state of the art in risk sensitive urban development. Having followed a systematic filtering process, a total of 45 out of 281 research contributions have been considered for an in-depth analysis. The study found storm surge disaster loss (SSDL), GRaBS assessment tool and early warning systems as the key approaches of risk sensitive urban development which can lead both urban developers and disaster managers to synchronise their ideas to achieve risk sensitive urban development.

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“…Significant areas of agricultural soils are degraded due to improper management [1][2][3][4][5][6][7]. World experience shows that traditional farming systems, even with their possible high productivity, lead to soil degradation problems and reduced cost efficiency [8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Productivity of Rainfed Winter Wheat with Direct Sowing and Economic Efficiency of Diversified Fertilization in Arid Region of South Kazakhstan

et al. 2022

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Reduced soil tillage is a powerful means to mitigate soil degradation. However, in arid climates, no-till rainfed technologies often result in yield drop due to lack of soil moisture and mineral nutrition. Rainfed production of winter wheat using direct sowing and diversified fertilization in South Kazakhstan was studied in 2019–2020. Eight field-scale treatments using nitrogen and phosphorus fertilizers were studied for biometric parameters of winter wheat. An economic profitability of the amendments used was assessed. The soil managed to accumulate productive moisture to support plants’ needs during formation of productive organs. Use of phosphorus fertilizer at direct sowing accelerated grain maturation, and the combination of phosphorus and nitrogen fertilizer lengthened the growing season. The highest production cost of 1 tonne of grain was in the plots that did not receive any amendments, and the lowest cost was in the treatment with use of plant growth stimulants together with micronutrient fertilizer. For the first time, optimization of the soil nutritional regime with consideration of the biological and phenological demands allowed for the balance of the plant nutrition and cost efficiency of grain production with direct sowing of winter wheat in dry conditions in South Kazakhstan.

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Major drivers of land degradation risk in Western Serbia: Current trends and future scenarios

Cited by 33 publications

References 61 publications

Modeling Spatio-Temporal Divergence in Land Vulnerability to Desertification with Local Regressions

Modeling Spatio-Temporal Divergence in Land Vulnerability to Desertification with Local Regressions

State of the art in risk sensitive urban development: A systematic literature review.

Productivity of Rainfed Winter Wheat with Direct Sowing and Economic Efficiency of Diversified Fertilization in Arid Region of South Kazakhstan

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