scholarly journals Natural and anthropogenic factors influencing abundance of the benthic macrofauna along the shelf and slope of the Gulf of Guinea, a large marine ecosystem off West Africa

Oceanologia ◽  
2020 ◽  
Vol 62 (1) ◽  
pp. 83-100
Author(s):  
Krzysztof Pabis ◽  
Robert Sobczyk ◽  
Jacek Siciński ◽  
Tor Ensrud ◽  
Bjorn Serigstadt
Solid Earth ◽  
2014 ◽  
Vol 5 (2) ◽  
pp. 1329-1340 ◽  
Author(s):  
E. Q. Xu ◽  
H. Q. Zhang

Abstract. As the most severe ecological issue in southwest China, karst rocky desertification (KRD) has both threatened and constrained regional sustainable development. Comprehensively understanding the relationship between the evolution of KRD and relevant driving data would provide more information to combat KRD in such complex karst environments. Past studies have been limited in quantifying the relative importance of driving factors influencing fine-scale KRD evolution, and have also lacked insight into their interactive impacts. To address these issues, we have used geographical information system techniques and a geographical detector model to explore the spatial consistency of driving factors and their interactions in relation to the evolution of KRD. Changshun County in China was selected as a representative area for the study. Nine relevant driving factors, including both natural and anthropogenic factors, were studied in regard to their relationships with KRD transformation between 2000 and 2010. Our results demonstrate the relative importance of driving data in influencing the improvement and deterioration of KRD. Lithology, soil type and road influence are identified as the leading factors. Interestingly, to our study at least, there is no significant difference between the impacts of natural and anthropogenic factors influencing KRD improvement, and even natural factors have a higher impact on KRD deterioration. Factors were found to enhance the influence of each other for KRD transformation. In particular, the results show a non-linearly enhanced effect between driving factors, which significantly aggravates KRD. New information found in our study helps to effectively control and restore areas afflicted by KRD.


1995 ◽  
Vol 1995 (1) ◽  
pp. 860-861
Author(s):  
George J. Divoky ◽  
Craig Harrison

ABSTRACT Seabird restoration plans require reliable estimates of the birds directly affected by a spill and the impact of that mortality on populations. They also require restoration techniques known to increase the rate of natural recovery. Unfortunately, restoration proposals have been hindered by damage assessments based on outdated and/or inappropriate data, exaggerated estimates of damages, and a lack of proven restoration techniques. Regular monitoring of seabird resources, knowledge of natural and anthropogenic factors influencing populations, and recognition of the typically limited role humans can play in seabird restoration will lead to the development of more realistic restoration plans.


PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0249448
Author(s):  
Sheng Liu ◽  
Ming Bai ◽  
Min Yao ◽  
Ke Huang

In developing countries, the phenomena of rural depopulation have been an intense continuing, which have become a major bottleneck for the sustainable revitalization of traditional villages. However, the factors influencing the spatial disparity of population hollowing (SDPH) in traditional villages within a prefecture-level city have not been fully quantitatively researched. Based on the factors that influence general villages, this study incorporated historical and cultural factors related to traditional village characteristics to construct a targeted influencing factor index system and then identified the key factors by applying the geo-detector method. With the percentage of resident population (PRP) used as a metric, this study examined Lishui, one of China’s traditional village agglomeration regions, as an example to explore SDPH in traditional villages. The results of this study were revealed in the following. (1) The average PRP value in traditional villages in Lishui was 0.68, with clear spatial disparities between the northern region (0.73) and the southern region (0.57). (2) The factors driving the SDPH included both natural and anthropogenic factors; of these, altitude, the number of public facilities, and the number of communication base stations were the most significant influencing factors. In contrast, historical and cultural factors have relatively low impacts. (3) The interaction relationships of pair factors were often enhanced on a bivariate basis, with the highest enhanced impact occurring from the interaction of two variables: the degree of intangible cultural inheritance and altitude. (4) The intervals of the variables leading to the hollowing of the population above a moderate level can be detected. This method can effectively analyze the factors influencing SDPH in traditional villages; can help reveal the interaction impact of pair factors; and can help identify the factors’ risk intervals.


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