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Research on Medicinal Plants and Jamu (RISTOJA) in of Papua and West Papua provinces was conducted in November-December 2012 and May 2017 using the purposive sampling and snowball method. The purpose of the review in this paper is to find out the patterns and trends in species used, and to discuss the factors that cause the vulnerability of declining plant species due to harvest pressure. In this paper, RISTOJA's data is primary data and a review of the data is carried out by searching literature online and offline. From the results of RISTOJA in Papua and West Papua (Western New Guinea) in 2012 and 2017, there were 2929 numbers of medicinal plants, and it is estimated that from the 2929 numbers there were 983 species of medicinal plants, and from the estimated 983 species of medicinal plants there were 444 species of medicinal plants not yet identified, because most species do not have generative parts and there are 529 medicinal plants identified to species level (2.1% of the total flora of Papua and West Papua). From these data, one species of medicinal plants was included in the category of Critically Endangered (0.19%), two species of Endangered (0.38%), and four species of Vulnerable (0.76%), two species Near Threatened (0.38%), 61 species of Least Concern (11.53%), six species of Data Deficient (DD). Threatened status is more commonly found in species recorded as harvested by traditional healer not from gardens (forests and others). Thus, the continuous exploitation of harvests from the forest and the wildlife can lead to an increase in the future Red List status of some species which are at risk threatened condition. [ABSTRACT FROM AUTHOR]

The logistic model can be applied in the field of biological studies to investigate population growth problems and some important aspects of the ecological situation. This model is a growth model with a limited population growth rate, and ecologists describe this rate as carrying capacity. Carrying capacity can be interpreted as the ideal population size, where individuals in the population can live properly in their environment. The growth rate of a population can be influenced by the harvesting factor, in this case, it is assumed that harvesting is not constant. The effect of the harvest on the growth rate can be analyzed mathematically by using the Holling type III functional response. In this paper, describe the formation of a logistic model taking into account the effects of harvesting, using the Holling type III functional response. Then, perform a nondimensional process in the model, namely simplifying a model that has four parameters to a model that only has two parameters. Next, determine the equilibrium point of the model, perform a stability analysis at that equilibrium point, and investigate the possibility of bifurcation. As result, first obtained a logistic model which has two non-dimensional parameters, where one of the equilibrium points is zero and is unstable. Next, determine another equilibrium point through an implicit equation and investigate its stability through simulation. Finally, obtained two equilibrium points, which are fold bifurcation.