Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A multistate dynamic site occupancy model for spatially aggregated
  sessile communities   Markov community models have been applied to sessile organisms because such
models facilitate estimation of transition probabilities by tracking species
occupancy at many fixed observation points over multiple periods of time.
Estimation of transition probabilities of sessile communities seems easy in
principle but may still be difficult in practice because resampling error
(i.e., a failure to resample exactly the same location at fixed points) may
cause significant estimation bias. Previous studies have developed novel
analytical methods to correct for this estimation bias. However, they did not
consider the local structure of community composition induced by the aggregated
distribution of organisms that is typically observed in sessile assemblages and
is very likely to affect observations. In this study, we developed a multistate
dynamic site occupancy model to estimate transition probabilities that accounts
for resampling errors associated with local community structure. The model
applies a nonparametric multivariate kernel smoothing methodology to the latent
occupancy component to estimate the local state composition near each
observation point, which is assumed to determine the probability distribution
of data conditional on the occurrence of resampling error. By using computer
simulations, we confirmed that an observation process that depends on local
community structure may bias inferences about transition probabilities. By
applying the proposed model to a real dataset of intertidal sessile
communities, we also showed that estimates of transition probabilities and of
the properties of community dynamics may differ considerably when spatial
dependence is taken into account. Our approach can even accommodate an
anisotropic spatial correlation of species composition, and may serve as a
basis for inferring complex nonlinear ecological dynamics.

25
The categories of this paper are: patt-sol
33
The categories of this paper are: plasm-ph
24
The categories of this paper are: dg-ga
37
The categories of this paper are: supr-con
20
The categories of this paper are: acc-phys
29
The categories of this paper are: funct-an
12
The categories of this paper are: nucl-th
21
The categories of this paper are: adap-org
31
The categories of this paper are: ao-sci
17
The categories of this paper are: q-fin
26
The categories of this paper are: bayes-an
18
The categories of this paper are: econ
5
The categories of this paper are: gr-qc
3
The categories of this paper are: physics
36
The categories of this paper are: cmp-lg
35
The categories of this paper are: mtrl-th