Understanding Ecosystem Complexity via Application of a Process-Based State Space rather than a Potential Surface
المؤلفون المشاركون
Gaucherel, C.
Pommereau, F.
Hély, C.
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-10-06
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
Ecosystems are complex objects, simultaneously combining biotic, abiotic, and human components and processes.
Ecologists still struggle to understand ecosystems, and one main method for achieving an understanding consists in computing potential surfaces based on physical dynamical systems.
We argue in this conceptual paper that the foundations of this analogy between physical and ecological systems are inappropriate and aim to propose a new method that better reflects the properties of ecosystems, especially complex, historical nonergodic systems, to which physical concepts are not well suited.
As an alternative proposition, we have developed rigorous possibilistic, process-based models inspired by the discrete-event systems found in computer science and produced a panel of outputs and tools to analyze the system dynamics under examination.
The state space computed by these kinds of discrete ecosystem models provides a relevant concept for a holistic understanding of the dynamics of an ecosystem and its abovementioned properties.
Taking as a specific example an ecosystem simplified to its process interaction network, we show here how to proceed and why a state space is more appropriate than a corresponding potential surface.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Gaucherel, C.& Pommereau, F.& Hély, C.. 2020. Understanding Ecosystem Complexity via Application of a Process-Based State Space rather than a Potential Surface. Complexity،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1143615
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Gaucherel, C.…[et al.]. Understanding Ecosystem Complexity via Application of a Process-Based State Space rather than a Potential Surface. Complexity No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1143615
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Gaucherel, C.& Pommereau, F.& Hély, C.. Understanding Ecosystem Complexity via Application of a Process-Based State Space rather than a Potential Surface. Complexity. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1143615
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1143615
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر