Assessment of landscape functionality changes as one aspect of reclamation quality – the case of Velká podkrušnohorská dump, Czech Republic

Bodlák, Lubomír; Křováková, Kateřina; Nedbal, Václav; Pechar, Libor

doi:10.1016/j.ecoleng.2011.11.018

Cited by 23 publications

(7 citation statements)

References 10 publications

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“…High wetness, lower temperatures, and low conductivity indicate better functioning landscape segments and areas that are stabilized. On the contrary, areas displaying low wetness, high temperatures, and high water conductivity belong to landscape segments that are disturbed and represent localities at risk [ 35 ]. Meanwhile, heat island poses significant challenges to ecosystems, i.e., energy and water use, human thermal comfort, health and ecosystem balance [ 36 ].…”

Section: Methodsmentioning

confidence: 99%

Assessment of Landscape Ecological Health: A Case Study of a Mining City in a Semi-Arid Steppe

Lei

et al. 2019

IJERPH

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The ecological status of the semi-arid steppes in China is fragile. Under the long-term and high-intensity development of mining, the ecological integrity and biodiversity of steppe landscapes have been destroyed, causing soil pollution, grassland degradation, landscape function defect, and so on. Previous studies have mainly focused on ecosystem health assessment in mining areas. Landscape ecological health (LEH) pays more attention to the interactions between different ecosystems. Therefore, the ecological assessment of mining cities is more suitable on a landscape scale. Meanwhile, the existing LEH assessment index systems are not applicable in ecologically fragile areas with sparse population, underdeveloped economy, and in relatively small research areas. The purpose of this study was to construct a LEH assessment index system and evaluate the LEH of a mining city located in a semi-arid steppe. Xilinhot is a typical semi-arid steppe mining city in China. The contradictions between the human, land and ecological environment are serious. A new model Condition, Vigor, Organization, Resilience, and Ecosystem (CVORE) model was constructed that integrated five subsystems (services) from the perspectives of ecology, landscape ecology, mining science, and geography. This study used the CVORE model to systematically evaluate the LEH in Xilinhot city in terms of five LEH levels, including very healthy, healthy, sub-healthy, unhealthy and morbid landscape. Research results show that the areas of the very healthy, healthy, sub-healthy, unhealthy and morbid landscapes are 13.23, 736.35, 184.5, 66.76 and 20.63 km2, respectively. The healthy landscapes area accounts for 72.08% and most grasslands are healthy. The sub-healthy landscapes are mainly located around areas with higher disturbances due to human activities. The morbid or unhealthy landscapes are concentrated in the mining areas. The proposed CVORE model can enrich the foundations for the quantitative assessment of Landscape Ecological Health of Mining Cities in Semi-arid Steppe (LEHMCSS). This study provided a new LEH assessment approach (CVORE model), which can support landscape ecological restoration, ecological environmental protection and urban planning of the semi-arid steppe mining cities.

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Section: Methodsmentioning

confidence: 99%

Assessment of Landscape Ecological Health: A Case Study of a Mining City in a Semi-Arid Steppe

Lei

et al. 2019

IJERPH

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“…Conversely, drained and intensively farmed catchments produced high export flows. The remote sensing of surface temperature using Landsat satellite data also confirmed the relationship between moderate and balanced temperatures with low nutrient and matter losses from forested areas as well as from areas rich in wetlands and natural permanent vegetation Procházka et al 2006;Bodlák et al 2012).…”

Section: Discussionmentioning

confidence: 58%

Functional attributes of the landscape surrounding the Temelin nuclear power plant (Czech Republic)

Hesslerová¹,

Pokorný²

2015

International Journal of Remote Sensing

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The aim of this study is to show the importance of permanent vegetation in landscape in terms of surface temperature. Indicators of key landscape functions (surface temperature, wetness, and biomass content) were monitored from May to September in five catchments with different vegetation covers. The analysis of Landsat satellite data illustrates that areas with a higher proportion of forest and wetlands provide a more balanced temperature-moisture regime throughout the growing season, reduce average and peak temperature, and enhance humidity. In these areas, solar radiation is transformed into latent heat, which leads to landscape cooling. This process indirectly leads to the reduction of soil erosion, loss of water, oxidation of organic matter, and nutrient export. A landscape characterized by a balanced temperature-moisture regime also has a higher ability to bind and retain pollutants. Artificial drainage and loss of natural wetlands are common across most of our agricultural landscapes. Drained fields have a low capacity to retain water, nutrients, and pollutants. Where cereal crops dominate, the temperature-moisture regime evolves through different stages. With the exception of the early growth, maturity and senescence are characterized by high average and peak temperatures, high temperature variations, and low humidity. As illustrated by the relationship existing between water electrical conductivity and cation concentration in relation to land cover, such landscapes have a lowered ability to retain chemical elements and pollutants. The sites that were object of our survey are situated within the emergency planning zone of the Temelín nuclear power plant, in order to demonstrate how our analytical approach may be applied to radiation risk management. IntroductionRetention of water and matter are important characteristics of the landscape, especially where some man-made hazards and risks may occur, i.e. the emergency planning zone (EPZ) of a nuclear power plant. Ripl (2003Ripl ( , 1995 described how plant stands and wetlands retain water, nutrients, other soluble matter, and suspended solids. Procházka, Brom, and Pechar (2009) demonstrated that the amount of discharged water and matter losses from a drained pasture are substantially higher than those from wet meadows and a forested catchment. Evapotranspiration (ET) reduces water discharge from soil. The amount of water evaporated from a given land surface can be an order of magnitude higher than an average water discharge. For example ET consuming 250 W m −2 corresponds to evaporation of 100 l s -1 km 2 . Consumption of solar energy by ET results in local cooling and can be monitored. Procházka et al. (2006) showed that ecosystems of low water and matter discharge had lower surface temperature than those of high water and matter discharge. In this article, we use surface temperature as an indicator of water

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“…However, remote sensing assessments of mine site rehabilitation require considerable knowledge and skill to interpret outputs of analysis and derive meaningful results. This is highlighted by a number of studies emphasizing the heterogeneous nature of mine site rehabilitation and the unique spatial and temporal challenges for remote sensing assessments [21][22][23][24][25][26][27][28][29][30]. Alternatively, the distinctive spectral, temporal and spatial patterns of rehabilitated landscapes provides opportunities for remote sensing to derive valuable ecological information.…”

Section: Recommendations For Operationalising Remote Sensing For Mine Site Rehabilitationmentioning

confidence: 99%

“…As a constructed landscape, rehabilitation is typically made up of discrete patches of vegetation in different stages of development, with underlying soil characteristics and landform slopes and topography that can vary significantly over short distances; particularly when compared to neighboring unmined land [12]. Additionally, rehabilitation managers often vary inputs, such as seed mixes, topsoil depth, and site preparation techniques, resulting in high levels of spectral heterogeneity within and between patches, across post-mining landscapes [21][22][23][24][25][26][27][28][29][30]. Nonetheless, the advantage of a remote sensing approach that uses discrete classification at fine spatial scales, is the potential to characterize the heterogeneity and the patterns associated with fine scale rehabilitation history, such as topsoil distribution, landform contour banks, and seeding patterns, using innovative classification techniques [31].…”

Section: Introductionmentioning

confidence: 99%

Remote Sensing of Mine Site Rehabilitation for Ecological Outcomes: A Global Systematic Review

et al. 2020

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The mining industry has been operating across the globe for millennia, but it is only in the last 50 years that remote sensing technology has enabled the visualization, mapping and assessment of mining impacts and landscape recovery. Our review of published literature (1970–2019) found that the number of ecologically focused remote sensing studies conducted on mine site rehabilitation increased gradually, with the greatest proportion of studies published in the 2010–2019 period. Early studies were driven exclusively by Landsat sensors at the regional and landscape scales while in the last decade, multiple earth observation and drone-based sensors across a diverse range of study locations contributed to our increased understanding of vegetation development post-mining. The Normalized Differenced Vegetation Index (NDVI) was the most common index, and was used in 45% of papers; while research that employed image classification techniques typically used supervised (48%) and manual interpretation methods (37%). Of the 37 publications that conducted error assessments, the average overall mapping accuracy was 84%. In the last decade, new classification methods such as Geographic Object-Based Image Analysis (GEOBIA) have emerged (10% of studies within the last ten years), along with new platforms and sensors such as drones (15% of studies within the last ten years) and high spatial and/or temporal resolution earth observation satellites. We used the monitoring standards recommended by the International Society for Ecological Restoration (SER) to determine the ecological attributes measured by each study. Most studies (63%) focused on land cover mapping (spatial mosaic); while comparatively fewer studies addressed complex topics such as ecosystem function and resilience, species composition, and absence of threats, which are commonly the focus of field-based rehabilitation monitoring. We propose a new research agenda based on identified knowledge gaps and the ecological monitoring tool recommended by SER, to ensure that future remote sensing approaches are conducted with a greater focus on ecological perspectives, i.e., in terms of final targets and end land-use goals. In particular, given the key rehabilitation requirement of self-sustainability, the demonstration of ecosystem resilience to disturbance and climate change should be a key area for future research.

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Assessment of landscape functionality changes as one aspect of reclamation quality – the case of Velká podkrušnohorská dump, Czech Republic

Cited by 23 publications

References 10 publications

Assessment of Landscape Ecological Health: A Case Study of a Mining City in a Semi-Arid Steppe

Assessment of Landscape Ecological Health: A Case Study of a Mining City in a Semi-Arid Steppe

Functional attributes of the landscape surrounding the Temelin nuclear power plant (Czech Republic)

Remote Sensing of Mine Site Rehabilitation for Ecological Outcomes: A Global Systematic Review

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