Haoran Wu

Mr. Haoran Wu


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
13 February 2022 in Journal of Ecology
Verified
Journal Article
Closed access
PDF file
HLHanyang Lin
Hanyang Lin
WLWenhao Li
Wenhao Li
CLChen‐Feng Lin
Chen‐Feng Lin
HWHaoran Wu
Haoran Wu
YZYunpeng Zhao
Yunpeng Zhao


22 April 2025 in Total Environment Advances
Verified
Journal Article
Closed access
HWHaoran Wu
Haoran Wu
JSJed Soleiman
Jed Soleiman
JBJamie Bolam
Jamie Bolam
JBJoseph Scott Boyle
Joseph Scott Boyle

11 April 2025 in Forest Ecology and Management
Verified
Journal Article
Open access
HWHaoran Wu
Haoran Wu
CDCecilia A.L. Dahlsjö
Cecilia A.L. Dahlsjö
YMYadvinder Malhi
Yadvinder Malhi


26 June 2023
Verified
Preprint
Open access
PDF file
HWHaoran Wu
Haoran Wu
Population dynamical modelling plays a crucial role in understanding ecological populations and making informed decisions for environmental management. However, existing software packages for dynamical system modelling often lack comprehensive integration of techniques and guidelines, limiting their practical usability. This paper introduces ecode, a novel package for modelling ecological populations and communities using ordinary differential equation systems, designed with a user-friendly framework. By following a three-cycle procedure, users can easily construct ecological models and explore their behaviours through a wide range of graphical, analytical, and numerical techniques. The package incorporates advanced techniques such as grid search methods and simulated annealing algorithms, enabling users to iteratively refine their models and achieve accurate predictions. Notably, ecode minimises external dependencies, ensuring robustness and reducing the risk of package failure caused by updates in dependencies. Overall, ecode serves as a valuable tool for ecological modelling, facilitating the exploration of complex ecological systems and the generation of informed predictions and management recommendations.