Agricultural abandonment and resilience in a Mediterranean periurban traditional agroecosystem: a landscape approach

Важнейшим условием достижения устойчивого развития прибрежноморского природопользования в заливе Петра Великого системы является морское пространственное планирование. Основой для этого является информация о природных комплексах территории и акватории, полученная на основе ландшафтного подхода. Ключевым районом для изучения пространственной организации ландшафтов прибрежных геоструктур стала территория острова Шкота и его подводных склонов. Для наземных ландшафтов было описано 49 наблюдательных пунктов, 4 профиля были заложены для подводных ландшафтов описано 64 наблюдательных пункта, проложено 18 профилей. Выделено 22 вида ландшафтов, из них 16 наземных, 6 подводных. Берега острова сформированы преобладанием абразивноденудационного и абразивного типов. В результате всестороннего изучения показаны особенности пространственной организации воздушных и водных природных комплексов. Особенностью исследуемой территории является экспозиция дифференциации ландшафтов между юговосточной и северозападной частями острова, обусловленная муссонной природой климата. Результаты полевых и картографических работ послужили основой для выбора зон интенсивного, умеренного и ослабленного взаимодействия наземных и подводных ландшафтов. Пространственное расположение зон взаимодействия четко иллюстрируется значительными различиями экспозиции. Результаты статистического сравнения ландшафтов суши и мелководья, окружающего остров, на основе картометрических характеристик указывают на неоднородность геоструктуры острова, обусловленную, прежде всего, сочетанием ландшафтообразующих факторов. The most important condition for achieving sustainable development of coastalmarine environmental management in Peter the Great Bay is marine spatial planning. The basis for this is information about the natural complexes of the territory and water area, obtained based on the landscape approach. The main area for studying the spatial organization of landscapes of coastal geostructures was the territory of the island of Shkota and its underwater slopes. For terrestrial landscapes, 49 observation points were described, 4 profiles were laid 64 observation points were described for underwater landscapes, 18 profiles were laid. 22 species of landscapes have been identified, of which 16 are terrestrial, 6 are underwater. The shores of the island are formed by the predominance of abrasivedenudation and abrasive types. Because of a comprehensive study, features of the spatial organization of air and aquatic natural complexes are shown. A special feature of the study area is the exposure of the differentiation of landscapes between the southeastern and northwestern parts of the island, due to the monsoon nature of the climate. The results of field and cartographic works served as the basis for selecting areas of intense, moderate and weakened interaction of land and underwater landscapes. The spatial arrangement of the interaction zones is clearly illustrated by significant differences in exposure. The results of a statistical comparison of the land and shallow water landscapes surrounding the island, based on the cartometric characteristics, indicate the heterogeneity of the islands geostructure, primarily due to the combination of landscapeforming factors.

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Faculty Opinions recommendation of Deficits of biodiversity and productivity linger a century after agricultural abandonment.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.736832904.793566823 ◽

2019 ◽

Author(s):

Josep Canadell

Keyword(s):

Agricultural Abandonment

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Modeling the Relaxation and Crystallization Kinetics of Glass without Fictive Temperature: Toy Landscape Approach

Journal of the American Ceramic Society ◽

10.1111/jace.18078 ◽

2021 ◽

Author(s):

Collin J. Wilkinson ◽

John C. Mauro

Keyword(s):

Crystallization Kinetics ◽

Landscape Approach ◽

Fictive Temperature ◽

Kinetics Of

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Identifying Challenges and Solutions in Cultural Heritage Adaptive Reuse through the Historic Urban Landscape Approach in Amsterdam

Sustainability ◽

10.3390/su13105547 ◽

2021 ◽

Vol 13 (10) ◽

pp. 5547

Author(s):

Nadia Pintossi ◽

Deniz Ikiz Kaya ◽

Ana Pereira Roders

Keyword(s):

Cultural Heritage ◽

Circular Economy ◽

Urban Landscape ◽

Multiple Scales ◽

Adaptive Reuse ◽

Sustainable Urban Development ◽

Landscape Approach ◽

The Public ◽

Private Knowledge ◽

Manifest Content

Cultural heritage drives and enables sustainable urban development. The adaptive reuse of cultural heritage creates values while prolonging the lifespan of heritage. Similarly, circular economy creates value while extending the useful life of materials and elements through their reuse. Existing studies on adaptive reuse challenges seldom focus on cultural heritage properties, and they are often identified through the engagement of a limited variety of stakeholders, as compared to the actors normally involved in adaptive reuse. Filling this gap, this paper provides a preliminary baseline of challenges faced by the city of Amsterdam from the perspective of various involved stakeholders, and suggests solutions to address them. The participants represented the public, private, knowledge, and third sectors. The methods used were the following: for data collection, a multidisciplinary workshop using the steps of the Historic Urban Landscape approach as an assessment framework applied to multiple scales on adaptive reuse, and for data analysis, manifest content analysis. The results expanded the range of challenges and solutions reported by previous literature on the adaptive reuse of cultural heritage in content and scale by identifying 61 themes—e.g., knowledge and civic engagement. Tools and stakeholders were also identified. These findings provide a reference for future practice, policymaking, and decision-making, facilitating the adaptive reuse of cultural heritage to capitalize on its potential for sustainable development and circular economy.

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An energy landscape approach to locomotor transitions in complex 3D terrain

Proceedings of the National Academy of Sciences ◽

10.1073/pnas.1918297117 ◽

2020 ◽

Vol 117 (26) ◽

pp. 14987-14995 ◽

Cited By ~ 2

Author(s):

Ratan Othayoth ◽

George Thoms ◽

Chen Li

Keyword(s):

Potential Energy ◽

Complex Terrain ◽

Statistical Physics ◽

Energy Landscape ◽

Three Dimensional ◽

Single Mode ◽

Physical Interaction ◽

Landscape Approach ◽

3D Terrain ◽

Potential Energy Landscape

Effective locomotion in nature happens by transitioning across multiple modes (e.g., walk, run, climb). Despite this, far more mechanistic understanding of terrestrial locomotion has been on how to generate and stabilize around near–steady-state movement in a single mode. We still know little about how locomotor transitions emerge from physical interaction with complex terrain. Consequently, robots largely rely on geometric maps to avoid obstacles, not traverse them. Recent studies revealed that locomotor transitions in complex three-dimensional (3D) terrain occur probabilistically via multiple pathways. Here, we show that an energy landscape approach elucidates the underlying physical principles. We discovered that locomotor transitions of animals and robots self-propelled through complex 3D terrain correspond to barrier-crossing transitions on a potential energy landscape. Locomotor modes are attracted to landscape basins separated by potential energy barriers. Kinetic energy fluctuation from oscillatory self-propulsion helps the system stochastically escape from one basin and reach another to make transitions. Escape is more likely toward lower barrier direction. These principles are surprisingly similar to those of near-equilibrium, microscopic systems. Analogous to free-energy landscapes for multipathway protein folding transitions, our energy landscape approach from first principles is the beginning of a statistical physics theory of multipathway locomotor transitions in complex terrain. This will not only help understand how the organization of animal behavior emerges from multiscale interactions between their neural and mechanical systems and the physical environment, but also guide robot design, control, and planning over the large, intractable locomotor-terrain parameter space to generate robust locomotor transitions through the real world.

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