scholarly journals Exploring the spatio-temporal impacts of farmland reforestation on ecological connectivity using circuit theory: A case study in the agro-pastoral ecotone of North China

2020 ◽  
Vol 30 (9) ◽  
pp. 1419-1435
Author(s):  
Xiaojing Liu ◽  
Dianfeng Liu ◽  
Hongzhuo Zhao ◽  
Jianhua He ◽  
Yaolin Liu
2019 ◽  
Vol 28 (7) ◽  
pp. 1863-1883 ◽  
Author(s):  
Agustín Molina Sánchez ◽  
Patricia Delgado ◽  
Antonio González-Rodríguez ◽  
Clementina González ◽  
A. Francisco Gómez-Tagle Rojas ◽  
...  

Religions ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 567
Author(s):  
Feng Qu

The case study in this paper is on the Daur (as well as the Evenki, Buriat, and Bargu Mongols) in Hulun Buir, Northeast China. The aim of this research is to examine how shamanic rituals function as a conduit to actualize communications between the clan members and their shaman ancestors. Through examinations and observations of Daur and other Indigenous shamanic rituals in Northeast China, this paper argues that the human construction of the shamanic landscape brings humans, other-than-humans, and things together into social relations in shamanic ontologies. Inter-human metamorphosis is crucial to Indigenous self-conceptualization and identity. Through rituals, ancestor spirits are active actors involved in almost every aspect of modern human social life among these Indigenous peoples.


Author(s):  
Álvaro Briz-Redón ◽  
Adina Iftimi ◽  
Juan Francisco Correcher ◽  
Jose De Andrés ◽  
Manuel Lozano ◽  
...  

GeoJournal ◽  
2021 ◽  
Author(s):  
R. Nasiri ◽  
S. Akbarpour ◽  
AR. Zali ◽  
N. Khodakarami ◽  
MH. Boochani ◽  
...  

2021 ◽  
Vol 12 (1) ◽  
pp. 18
Author(s):  
Lennart Adenaw ◽  
Markus Lienkamp

In order to electrify the transport sector, scores of charging stations are needed to incentivize people to buy electric vehicles. In urban areas with a high charging demand and little space, decision-makers are in need of planning tools that enable them to efficiently allocate financial and organizational resources to the promotion of electromobility. As with many other city planning tasks, simulations foster successful decision-making. This article presents a novel agent-based simulation framework for urban electromobility aimed at the analysis of charging station utilization and user behavior. The approach presented here employs a novel co-evolutionary learning model for adaptive charging behavior. The simulation framework is tested and verified by means of a case study conducted in the city of Munich. The case study shows that the presented approach realistically reproduces charging behavior and spatio-temporal charger utilization.


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