.png){kind=icon}
返回
Combinatorial Maps, a New Framework to Model Agroforestry Systems
.png){kind=icon}
OA
AI
DOI：10.34133/plantphenomics.0120.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Agroforestry systems are complex due to the diverse interactions between their elements, and they develop over several decades. Existing numerical models focus either on the structure or on the functions of agroforestry systems. However, both of these aspects are necessary, as function influences structure and vice versa. Here, we present a representation of agroforestry systems based on combinatorial maps (which are a type of multidimensional graphs), that allows conceptualizing the structure-function relationship at the agroecosystem scale. We show that such a model can represent the structure of agroforestry systems at multiple scales and its evolution through time. We propose an implementation of this framework, coded in Python, which is available on GitHub. In the future, this framework could be coupled with knowledge based or with biophysical simulation models to predict the production of ecosystem services. The code can also be integrated into visualization tools. Combinatorial maps seem promising to provide a unifying and generic description of agroforestry systems, including their structure, functions, and dynamics, with the possibility to translate to and from other representations.
Keyword:
ARCHITECTURE
WATER
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.4
论文数:
489
被引数:
1.5K
机构
引用论文
Reducing connected dominating set size with multipoint relays in ad hoc wireless networks.png)
7th International Symposium on Parallel Architectures, Algorithms and Networks, 2004. Proceedings.
7th International Symposium on Parallel Architectures, Algorithms and Networks, 2004. Proceedings.IF0
PREAI
分享收藏Wrist Muscle Activity during Rapid Unimanual Tapping with a Drumstick in Drummers and Nondrummers
PREAI
分享收藏
查看更多内容