Resources
Displaying 456 - 460 of 2258Transition Pathways of Agroecological Innovation in Portugal’s Douro Wine Region. A Multi-Level Perspective
The Multi-Level Perspective (MLP) is an analytical framework developed to explain transitions towards sustainability. This article aims to contribute to enhancing the use of the MLP to understand the transitions towards sustainability in agriculture. We propose that MLP is an insightful framework to capture particular micro-level trajectories of adopting innovations. The Douro wine region in Northern Portugal, known worldwide for the wines that are produced there, was the study area of our empirical research.
Informal Land Rights and Infrastructure Retrofit: A Typology of Land Rights in Informal Settlements
Informal settlements represent a challenging operational context for local government service providers due to precarious contextual conditions. Location choice and land procurement for public infrastructure raise the complicated question: who has the right to occupy, control, and use a piece of land in informal settlements? There is currently a dearth of intelligence on how to identify well-located land for public infrastructure, spatially and with careful consideration for safeguarding the claimed rights and preventing conflicts.
Assessment of River-Sea Interaction in the Danube Nearshore Area (Ukraine) by Bioindicators and Statistical Mapping
There is a lack of understanding of the main drivers that form the picture of biological communities of transitional waters in deltaic ecosystems under the influence of terrestrial sources. Analysis of hydrochemical parameters in relation to phytoplankton communities in the Ukrainian part of the Danube coastal zone (in August 2018) is the focus of current work. The goal was to identify patterns in the distribution of environmental parameters (salinity and nutrients) in the area of the shipping channel through the Bystry arm, as well as to assess the state of water quality.
Exploring the Sensitivity of Recurrent Neural Network Models for Forecasting Land Cover Change
Recurrent Neural Networks (RNNs), including Long Short-Term Memory (LSTM) architectures, have obtained successful outcomes in timeseries analysis tasks. While RNNs demonstrated favourable performance for Land Cover (LC) change analyses, few studies have explored or quantified the geospatial data characteristics required to utilize this method. Likewise, many studies utilize overall measures of accuracy rather than metrics accounting for the slow or sparse changes of LC that are typically observed.
Relationships between Morphostructural/Geological Framework and Landslide Types: Historical Landslides in the Hilly Piedmont Area of Abruzzo Region (Central Italy)
Landslides are a widespread natural phenomenon that play an important role in landscape evolution and are responsible for several casualties and damages. The Abruzzo Region (Central Italy) is largely affected by different types of landslides from mountainous to coastal areas. In particular, the hilly piedmont area is characterized by active geomorphological processes, mostly represented by slope instabilities related to mechanisms and factors that control their evolution in different physiographic and geological–structural conditions.