Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
3,473
result(s) for
"ABANDONED LANDS"
Sort by:
Islands of abandonment : life in the post-human landscape
Cal Flyn's book details abandoned places: ghost towns and exclusion zones, no man's lands and fortress islands - and what happens when nature is allowed to reclaim its place. In Chernobyl, following the nuclear disaster, only a handful of people returned to their dangerously irradiated homes. On an uninhabited Scottish island, feral cattle live entirely wild. In Detroit, once America's fourth-largest city, entire streets of houses are falling in on themselves, looters slipping through otherwise silent neighbourhoods. This book explores the extraordinary places where humans no longer live - or survive in tiny, precarious numbers - to give us a possible glimpse of what happens when mankind's impact on nature is forced to stop.
Book
Identification of early abandonment in cropland through radar‐based coherence data and application of a Random‐Forest model
In the context of increased pressures on land for food and non‐food production, it is relevant to understand better, which land resources have become unused and abandoned and where these lands are. Data on where these lands are and what their extend is are not collected in regular statistics. In this paper, we present an approach to detect signs of abandonment in cropping land using radar coherence data. The methodology was tested in the Spanish regions of Albacete and Soria where agricultural land abandonment is a common process. The results show that land abandonment detection using radar coherence data works well for the region of Albacete in arable lands. The radar‐based analysis is a relatively simple method to detect land abandonment in an early to longer term state and can therefore be applied once developed and tested further in other regions to larger areas of the EU where land abandonment is serious and needs monitoring and policy response. The applicability of the method to Soria and Emilia Romagna (Italy) regions shows that there are still challenges to overcome to make the method more widely applicable for detecting land abandonment in other environmental zones of Europe. Lack of reliable training and validation data, like Land Parcel Identification Systems data, in regions is one of the challenges in this respect. An approach to detect signs of abandonment in cropping land using radar coherence data is presented and results discussed. Radar based analysis is a relatively cheap method to detect land abandonment in an early to longer term state and can therefore be applied once developed and tested further in other regions to larger areas of the EU where land abandonment is serious and needs monitoring and policy response.
Journal Article
Assisting seed dispersers to restore oldfields: An individual-based model of the interactions among badgers, foxes and Iberian pear trees
1. Increasing land abandonment in many areas of the world presents an opportunity for ecosystem recovery, which is often driven by seed dispersal by vertebrate frugivores. However, we are far from understanding the most effective way of using common management actions (i.e. planting fruiting trees) to stimulate animal seed dispersal and thus the restoration of human-altered abandoned habitats. 2. To investigate how to stimulate animal seed dispersal, we combined long-term field data with individual-based, spatially explicit simulation models. We used our approach to assess the effectiveness of contrasting Iberian pear Pyrus bourgaeana planting strategies in enhancing restoration of abandoned lands through seed dispersal by red foxes Vulpes vulpes and Eurasian badgers Meles meles in the Doñana World Biosphere Reserve (South West Spain). 3. Our simulation results indicate that planting trees in an aggregated fashion is less efficient in terms of seed arrival than planting them regularly or randomly. For aggregated planted trees, the increase in the area of the oldfield that received seeds was only 7%-9% compared to the baseline scenario of no intervention, whereas for regularly distributed planted trees the increment was up to 40%. 4. Doubling the number of planted P. bourgaeana trees appeared cost-effective for regular and random tree distributions, but not for the aggregated one. For example, while doubling the number of trees planted regularly leads up to 12% increase in the number of seeds arriving into the oldfield, no increment on the number of arrived seeds was detected when trees were planted aggregately. 5. Synthesis and applications. Choosing the spatial distribution and density of planted trees in abandoned lands depends on a number of ecological and socio-economical factors. Given our results, the strong seed dispersal limitation of the target tree population and that our study site was fully protected for conservation, planting Pyrus bourgaeana trees regularly appeared to be the most efficient strategy to enhance seed arrival into the target oldfield. Combining long-term field data with individual-based, spatially explicit simulation models have the potential to guide local restoration efforts in diverse human-altered habitats and thus bridge the existing gap between basic and applied research on animal seed dispersal.
Journal Article
River of lost souls : the science, politics, and greed behind the Gold King Mine disaster
\"In 2015, a flood of thick yellow sludge from a long-abandoned mine in Silverton, Colorado, made headlines as it flowed down the Animas River towards the Navajo Nation and the mighty Colorado River. Perhaps the most charismatic environmental disaster of our time, the Gold King Mine spill illustrates the devastating potential waiting in hundreds of abandoned mines throughout the Rocky Mountains. With disarming storytelling, award-winning journalist Jonathan P. Thompson unearths a litany of impacts wrought by a century and a half of mining, energy development, and fracking in southwestern Colorado. Amid these harsh realities, Thompson explores how a new generation is setting out to make amends\"--Back cover.
Book
Revitalization Potential of Marginal Areas for Sustainable Rural Development in the Puglia Region, Southern Italy: Part I: A Review
Feeding nine billion people by 2050 will be a challenge due to climate change. There is a significant portion of abandoned and unused marginal lands across the nation and in the Puglia region, in Southern Italy. Innovative techniques and practices in the frame of climate-smart agriculture can help rehabilitate marginal lands into productive and profitable areas. The objective of this study was to systematically review the literature on marginal areas in Puglia, responding to the lack of information in this context and evaluate their revitalization potential. We systematically reviewed the literature on unused/marginal areas and identified related studies dealing with different types of marginal areas and their potential for sustainable rural development. Marginal areas in Puglia represent a range of historical rural landscapes that support biodiversity, the economy, and ecological services. However, the analysis of the current situation in Puglia’s marginal areas indicates a lack of infrastructure and scarce resources, which led to land abandonment and the migration of local residents, resulting in the deterioration of the ecological system. Therefore, establishing a sustainable policy is crucial for preserving the local heritage and economy of the region. However, policymakers should carefully study the challenges and opportunities arising from local contexts before embarking on ambitious place-based innovation strategies. The analysis indicates that both biophysical and socio-economic factors are strategic elements for improving the revitalization potential of marginal areas for sustainable development. This review provides useful information regarding the revitalization potential of marginal areas for food, feed, and non-food production, which is crucial in the implementation of a sustainable development strategy for rural communities in Puglia but can also be applied to similar areas in other countries. However, the success of the sustainable development strategy in Puglia’s marginal areas should consider the vital function of farmers’ self-organization and social capital as key factors in the adoption of agricultural innovations for the revitalization of these areas.
Journal Article
Effects of land-use patterns on soil microbial diversity and composition in the Loess Plateau, China
In the Loess Plateau of China, land-use pattern is a major factor in controlling underlying biological processes. Additionally, the process of land-use pattern was accompanied by abandoned lands, potentially impacting soil microbe. However, limited researches were conducted to study the impacts of land-use patterns on the diversity and community of soil microorganisms in this area. The study aimed to investigate soil microbial community diversity and composition using high-throughput deoxyribonucleic acid (DNA) sequencing under different land-use patterns (apricot tree land, apple tree land, peach tree land, corn land, and abandoned land). The results showed a substantial difference (
P
<0.050) in bacterial alpha-diversity and beta-diversity between abandoned land and other land-use patterns, with the exception of Shannon index. While fungal beta-diversity was not considerably impacted by land-use patterns, fungal alpha-diversity indices varied significantly The relative abundance of Actinobacteriota (34.90%), Proteobacteria (20.65%), and Ascomycota (77.42%) varied in soils with different land-use patterns. Soil pH exerted a dominant impact on the soil bacterial communities’ composition, whereas soil available phosphorus was the main factor shaping the soil fungal communities’ composition. These findings suggest that variations in land-use pattern had resulted in changes to soil properties, subsequently impacting diversity and structure of microbial community in the Loess Plateau. Given the strong interdependence between soil and its microbiota, it is imperative to reclaim abandoned lands to maintain soil fertility and sustain its function, which will have significant ecological service implications, particularly with regards to soil conservation in ecologically vulnerable areas.
Journal Article
Deep Learning and Remote Sensing for Restoring Abandoned Agricultural Lands in the Middle Volga (Russia)
Abandoned agricultural lands in the Middle Volga region of Russia, which appeared because of socio-economic transformations after the collapse of the USSR and the liquidation of collective farms, represent a significant potential for increasing agricultural production and economic development of the region. This study develops a comprehensive approach to assessing the suitability of these lands for return to agricultural turnover using machine learning methods and remote sensing data. Sentinel-2 satellite imagery and a deep neural network based on MAnet architecture with Mix Vision Transformer encoder (MiT-b5), which achieved an accuracy of 93.4% and an IoU coefficient of 0.84, were used for semantic segmentation of modern agricultural land. Land use dynamics since 1985 were analysed using Landsat 4–9 data, revealing significant areas of abandoned arable land. Land suitability was assessed, taking into account natural resource factors such as topography, soils and climatic conditions. The results showed that the total area of land suitable for reclaimed land is 2,014,845 ha, which could lead to an increase in wheat yield by 7.052 million tons. The potential cumulative net profit is estimated at 35.26 billion rubles (about US$352.6 million). The main conclusions indicate the significant economic and social potential of returning abandoned land to agricultural turnover, which requires a comprehensive approach that includes investment in infrastructure and the introduction of modern agro-technologies.
Journal Article
Abandoned Land Mapping Based on Spatiotemporal Features from PolSAR Data via Deep Learning Methods
Monitoring agricultural abandonment is essential in understanding the effects on the environment and food security. Polarimetric synthetic aperture radar (PolSAR) is an efficient approach for the monitoring of large-scale agricultural land cover in cloudy and rainy areas. However, previous studies have not taken advantage of the valuable phase information and not fully utilized the spatiotemporal features of farmland parcels, which has seriously limited the abandoned land identification accuracy. In this study, we developed a new method for the mapping of abandoned land based on the spatiotemporal features from PolSAR Single Look Complex (SLC) images via deep learning methods. First, backscattering coefficients (σ0VV, σ0VH) were derived, and the polarimetric parameters (entropy, anisotropy and mean alpha angle) were obtained based on Cloude–Pottier polarimetric decomposition. Then, the VGG16 deep convolutional network was innovatively used to extract spatial features from both the backscattering coefficients and polarimetric parameters. Next, the separability index was calculated to select the most effective spatial features. Finally, LSTM classifications were conducted based on the time series of backscattering features, the polarimetric parameters, the extracted spatial features and their combinations. The results showed that the introduction of multitemporal polarimetric parameters and spatial features both led to an improvement in the abandoned land identification accuracy. The combination of backscattering features, polarimetric parameters and spatial features yielded the best performance in identifying abandoned land, with producer’s accuracy of 88.29% and user’s accuracy of 84.03%. This study demonstrated the potential of polarimetric parameters and validated the effectiveness of spatiotemporal features in abandoned land identification. It provided a practical method for the production of a highly reliable abandoned land mapping in cloudy and rainy areas.
Journal Article
Natural or assisted succession as approach of forest recovery on abandoned lands with different land use history in the Andes of Southern Ecuador
Forest recovery on disturbed areas is of special significance in the Ecuadorian Andes, where deforestation is a serious problem. Natural diachronic succession was evaluated on three large plots or sites, differing in their land use and vegetation composition, one is dominated by grass species on an abandoned pasture (Pasture site), the other two are post-fire vegetation dominated by bracken (Bracken site) and various shrubs (Shrub site). Additionally, we assessed the effectiveness of manual removal of competitive herbaceous species to accelerate forest recovery. Monitoring was done in 2003, 2005 and 2007 on 48 subplots of 116 m
2
each recording species richness and woody-species density. Results showed that the Pasture site demonstrated a competitive effect of exotic grasses on woody species recruitment with much lower species recruitment and density, suggesting serious inhibition of natural forest regeneration and an unclear successional trajectory. The Bracken and Shrub sites became significantly similar floristically and there is evidence for a marked facilitation of woody plant recruitment correlated with light availability on the ground. Both sites showed characteristics of classic succession, with Shrub showing a higher species richness and density while late-successional species are poorly represented on the Bracken site. However, NMDS ordination using species density showed that the two trajectories may not be converging towards a common “final state”. Manual weeding was ineffective for accelerating forest recovery. These results suggest that the main limiting factor for the recruitment of woody species on the Pasture site is strong grass competition and must be addressed before seed availability, while seed availability seems to be the constraining factor for Bracken and Shrub site development, thus direct seeding or planting may be effective in accelerating forest recovery.
Journal Article