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Introduction
Skills and Expertise
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Publications
Publications (6)
Key message
The diameter growth of Dahurian larch ( Larix gmelini Rupr.) and white birch ( Betula platyphylla Suk.) species in secondary forest of Northeast China was not only influenced by biological factors such as tree size and stand characteristics, but also significantly affected by topographic and climatic factors such as temperature and prec...
Mixed-species plantations, which are more resilient and productive than pure plantations, have received increasing attention and have gradually become a focus of forest research. Therefore, it has become imperative to develop models to quantitatively describe specific stand types. In this study, biomass models were developed using 105 destructively...
The relative growth rate (RGRnv) is the standardized measurement of forest growth, whereby excluding the size differences between individuals allows their performance to be compared equally. The RGRnv model was developed using the National Forest Inventory (NFI) data on the Daxing’an Mountains, in Northeast China, which contain Dahurian larch (Lari...
Questions
Questions (5)
Survival and mortality are almost assumed to binomial distribution, and the model method for the data is logistic regression.
With the development of math and calculation power.
I want to know is there a new distribution or method for the survival and mortality data,thanks everyone.
Complements the question according to Professor Domsta’s suggestion ：
1. Type of data: about 15 years annual observations for 50 samples（each size 20m*30m） ,contains about 6000 individual tree,the ratio of survival and mortality about :5:1,the initial age of the plantation is 7 years.
2. Type of problem:I want to ues the data to establish one model to descrip the individual tree’ mortality probability ,so it needs to know the distribution of the data and get the basic model.
PS: There are two kinds of results when investigating single tree status in sample plots: survival (1) or mortality (0). Logistic regression is used to model, and the error term of the model follow Logistic distribution.
My main questions are:
1. What's the distribution of the 0, 1 data, and Is the probability of survival or mortality of one tree the same（such as 0.5 and 0.5） in each inventory
2. In addition to the Logistic model, is there a more appropriate model for modeling the probability of mortality or survival.
Hello everyone ,
I have a question about the Bayesian Hierachical model and Simultaneous equations . I want to establish two model, one for the individual tree growth, another for the individual tree mortality. The two models can all build by Bayesian method through the SAS PROC MCMC or R2WinBUGS.
Obviously, there are some relationship between the growth and mortality ,so I want to konw, Can I use the Simultaneous equations or SUR to estimate the two Baysian model together.
Could you give me some advice, Nomatter an essay or code example, thanks a lot.
Hello,everyone
I have made a general linear mixed model for individual tree survival use 80% data.The procedure I used to make the model was Proc Glimmix. Now I need use 20% data to validate the model.How should I do use SAS? Thanks for everyone to help me.
I make a binary logistic model,but the confusion matrix from sas didn't equal to the value we calculate,Is there anything wrong?
I have made a basic logistic model about tree mortality,on the basis of this ,adding random effect (R&G)to create a generalized linear mixed model with SAS，AIC can't be used in mdoel comparison because the Pseudo MLE has no real likelihood value.So is there any way to complete this comparison or model choosen.
