Intertype mark correlation function: A new tool for the analysis of species interactions
The spatial pattern of the different species in complex ecosystems reflects the underlying ecological processes. In this paper a second order moment function is proposed and tested to analyse the spatial distribution of a mark, which could be a tree characteristic such as diameter or height, between...
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| Published in | Ecological modelling Vol. 222; no. 3; pp. 580 - 587 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Amsterdam
Elsevier B.V
10.02.2011
Elsevier |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0304-3800 1872-7026 |
| DOI | 10.1016/j.ecolmodel.2010.10.029 |
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| Abstract | The spatial pattern of the different species in complex ecosystems reflects the underlying ecological processes. In this paper a second order moment function is proposed and tested to analyse the spatial distribution of a mark, which could be a tree characteristic such as diameter or height, between two different types of points, which could be two different tree species. The proposed function was a conditional density function based on the intertype
K
rs
(
d) function, incorporating as test function the correlation of the marks between pairs composed of points of different types. The results obtained in simulated and real plots prove that the function is capable of revealing the scale at which spatial correlation of the mark between two types of points exists. The proposed function allows the spatial association between individuals of different species at different life stages to be identified. This analysis may reveal information on species ecology and interspecific interactions in forest ecosystems. |
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| AbstractList | The spatial pattern of the different species in complex ecosystems reflects the underlying ecological processes. In this paper a second order moment function is proposed and tested to analyse the spatial distribution of a mark, which could be a tree characteristic such as diameter or height, between two different types of points, which could be two different tree species. The proposed function was a conditional density function based on the intertype Kᵣₛ(d) function, incorporating as test function the correlation of the marks between pairs composed of points of different types. The results obtained in simulated and real plots prove that the function is capable of revealing the scale at which spatial correlation of the mark between two types of points exists. The proposed function allows the spatial association between individuals of different species at different life stages to be identified. This analysis may reveal information on species ecology and interspecific interactions in forest ecosystems. The spatial pattern of the different species in complex ecosystems reflects the underlying ecological processes. In this paper a second order moment function is proposed and tested to analyse the spatial distribution of a mark, which could be a tree characteristic such as diameter or height, between two different types of points, which could be two different tree species. The proposed function was a conditional density function based on the intertype K rs ( d) function, incorporating as test function the correlation of the marks between pairs composed of points of different types. The results obtained in simulated and real plots prove that the function is capable of revealing the scale at which spatial correlation of the mark between two types of points exists. The proposed function allows the spatial association between individuals of different species at different life stages to be identified. This analysis may reveal information on species ecology and interspecific interactions in forest ecosystems. The spatial pattern of the different species in complex ecosystems reflects the underlying ecological processes. In this paper a second order moment function is proposed and tested to analyse the spatial distribution of a mark, which could be a tree characteristic such as diameter or height, between two different types of points, which could be two different tree species. The proposed function was a conditional density function based on the intertype K rs (d) function, incorporating as test function the correlation of the marks between pairs composed of points of different types. The results obtained in simulated and real plots prove that the function is capable of revealing the scale at which spatial correlation of the mark between two types of points exists. The proposed function allows the spatial association between individuals of different species at different life stages to be identified. This analysis may reveal information on species ecology and interspecific interactions in forest ecosystems. |
| Author | Ledo, Alicia Condés, Sonia Montes, Fernando |
| Author_xml | – sequence: 1 givenname: Alicia surname: Ledo fullname: Ledo, Alicia email: a.ledo@upm.es organization: Escuela Técnica Superior de Ingenieros de Montes, Universidad Politécnica de Madrid, Ciudad Universitaria, sn, 28040 Madrid, Spain – sequence: 2 givenname: Sonia surname: Condés fullname: Condés, Sonia organization: Escuela Técnica Superior de Ingenieros de Montes, Universidad Politécnica de Madrid, Ciudad Universitaria, sn, 28040 Madrid, Spain – sequence: 3 givenname: Fernando surname: Montes fullname: Montes, Fernando organization: CIFOR-INIA, Ctra. de La Coruña km 7.5, 28040 Madrid, Spain |
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| Keywords | Interspecific interactions Mark correlation Spatial pattern Marked point process Bivariate point process Ripley's K function Spatial distribution Models Spatial variation Interspecific relation |
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| Snippet | The spatial pattern of the different species in complex ecosystems reflects the underlying ecological processes. In this paper a second order moment function... |
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| SubjectTerms | Animal, plant and microbial ecology Biological and medical sciences Bivariate point process forest ecosystems Fundamental and applied biological sciences. Psychology General aspects. Techniques Interspecific interactions Mark correlation Marked point process Methods and techniques (sampling, tagging, trapping, modelling...) Ripley's K function Spatial pattern stand characteristics tree and stand measurements trees |
| Title | Intertype mark correlation function: A new tool for the analysis of species interactions |
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