Call for papers of Special Issue on Theory and Practice in Matrix Population Modelling
• 大类 : 环境科学与生态学 - 3区
• 小类 : 生态学 - 3区
Matrix population models represent a popular, convenient tool to describe the temporal dynamics of a single-species, discrete-structured population. The population structure, as per a relevant classification of stages and/or ages, and the individual life cycle are typically known from case studies, while the matrix pattern follows immediately from a given life cycle graph. When calibrated with field data, the model matrix serves as an indirect indicator of the environment quality for the species under study, and it provides a rich repertoire of quantitative characteristics that allow for comparative field studies and theoretical research. Depending on the data source and organism, matrix population models face interesting analytical challenges (such as whether and how the aggregation of known stages affect the appropriate description of the population dynamics) and beg for novel information technologies (e.g., combining the R software with the matrix databases).
The Special Issue will present recent achievements and previously unaddressed aspects in the theory of matrix population modelling and the practice of model applications as efficient quantitative tools of comparative demography. In particular, how to cope with various kinds of uncertainty inherent in the field data when calibrating the population projection matrix (PPM), how to average several successive PPMs in order to summarize the population characteristics for the total observation period, and how the power harnessed within the global COMPADRE Plant Matrix Database & COMADRE Animal Matrix Database (http://www.compadre-db.org/) can be unleashed to address comparative and synoptic issues in ecology and evolution.
We are editing a special feature titled “Theory and Practice in Matrix Population Modelling” for Ecological Modelling, with the ultimate goal of providing recent theoretical and practical advancements in the application of matrix population models. More details below. In order to be as inclusive of the broad community of researchers working in this field, we wish to make an open call for potential invited submissions. If you are interested in having work considered for this special feature, please submit a title, full authorship list with affiliation and contact info, as well as a brief (150-200 words) abstract of the work, highlighting its novelty, to the emails: