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Use of the Weibull Function to Model Maximum Probability of Abundance of Tree Species in Northwest Mexico Pablo Martínez-Antúnez, Christian Wehenkel, José C

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Use of the Weibull Function to Model Maximum Probability of Abundance of Tree Species in Northwest Mexico Pablo Martínez-Antúnez, Christian Wehenkel, José C Use of the Weibull function to model maximum probability of abundance of tree species in northwest Mexico Pablo Martínez-Antúnez, Christian Wehenkel, José C. Hernández-Díaz, José J. Corral-Rivas To cite this version: Pablo Martínez-Antúnez, Christian Wehenkel, José C. Hernández-Díaz, José J. Corral-Rivas. Use of the Weibull function to model maximum probability of abundance of tree species in northwest Mexico. Annals of Forest Science, Springer Nature (since 2011)/EDP Science (until 2010), 2015, 72 (2), pp.243-251. 10.1007/s13595-014-0420-2. hal-01284170 HAL Id: hal-01284170 https://hal.archives-ouvertes.fr/hal-01284170 Submitted on 7 Mar 2016 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Annals of Forest Science (2015) 72:243–251 DOI 10.1007/s13595-014-0420-2 ORIGINAL PAPER Use of the Weibull function to model maximum probability of abundance of tree species in northwest Mexico Pablo Martínez-Antúnez & Christian Wehenkel & José C. Hernández-Díaz & José J. Corral-Rivas Received: 28 January 2014 /Accepted: 2 September 2014 /Published online: 8 October 2014 # INRA and Springer-Verlag France 2014 Abstract predictors; this enabled points of maximum probability of abun- & Key message Plant abundance is controlled by environ- dance to be defined for each species. Significant fits were ob- mental factors and, theoretically, a suitable function can tained for 31 models: 15 with the 3-parameter Weibull function, be used to predict site preferences of particular species. six with the 2-parameter approach, and 10 with both equations. This study represents a first attempt to use the Weibull & Conclusion The Weibull function was generally flexible function to define the bioclimatic niche of some trees, enough to model the relationship between environmental var- which may help in understanding particular adaptations iables and tree species abundance. of individual species to the environment. – & Context The plant environment relationships studied in this Keywords Ecogram . Species density . Bioclimatic niche . work, and the definition of points of maximum probability of Environmental factors . Species adaptability . Bioclimatic abundance, constitute an important basis for understanding preferences species-specific adaptation to certain environmental conditions. The method presented here can be applied to any location. & Aims The aim of this study was to test the efficacy of the 1 Introduction Weibull function (with two and three parameters) to model the relationship between environmental variables and abundance The abundance of forest species is determined by the action of of tree species in the temperate forests of Durango (Mexico). & Methods Six environmental variables and 16 tree species multiple factors, mainly abiotic and biotic factors, geograph- were selected for study in 1,804 sample plots located in the ical accessibility and the capacity of organisms to adapt to site Sierra Madre Occidental, Durango, Mexico. conditions. These factors exert effect with different intensities & Results Good models fits were obtained for the abundance of and at different levels in all living organisms in natural sys- 11 out of the 16 species in relation to one or more of the six tems (Soberón and Peterson 2005; Saupe et al. 2012). Determination of the bioclimatic preferences of forest tree Handling Editor: Erwin DREYER. species is important for understanding the ecology and genetic evolution of the species and for predicting their capacity to adapt Contributions of the co-authors Pablo Martínez-Antúnez: designing the experiment, writing the paper, running the data analysis. to new environments; it is also very useful in the study of global José C. Hernández-Díaz: coordinator of the research project, supervisor, climate change and how this affects vegetation (Hegel et al. copy editor. 2010;Lenoiretal.2010). Models that help visualize different Christian Wehenkel: supervisor, statistical advisor, text editor. scenarios and biogeographic boundaries are usually used to José J. Corral-Rivas: supervisor, writing advisor, text editor. define bioclimatic preferences (Sáenz-Romero et al. 2010). P. Martínez-Antúnez Several efforts have been made to define the climatic prefer- Doctorado Institucional en Ciencias Agropecuarias y Forestales, ences of forest tree species, as well as to study the relationship Universidad Juárez del Estado de Durango, Km 5.5 Carretera Mazatlán, 34120 Durango, Mexico between the distribution of tree species and environmental : : variables (Mellert et al. 2011) and to determine the response to C. Wehenkel J. C. Hernández-Díaz (*) J. J. Corral-Rivas climatic gradients of oak species (Uğurlu and Oldeland 2012). Instituto de Silvicultura e Industria de la Madera, Universidad Juárez Knowledge about the bioclimatic niche of different species del Estado de Durango, Km 5.5 Carretera Mazatlán, 34120 Durango, Mexico is important for the above-mentioned purposes and also for e-mail: [email protected] good planning and decision making in the integrated and 244 P. Martínez-Antúnez et al. sustainable management of forest resources. Nevertheless, ac- curate determination of the bioclimatic niche of a species is not an easy task, because of the complex interactions between the components of natural systems. However, if the specific values of the main climatic elements in a site where a species grows and develops are calculated, this would be an important step in defining its bioclimatic niche and thus its potential distribution. It is possible to use the Weibull probability density function (PDF) to characterize the behaviour of a population in relation to certain phenomena. The advantage of using this mathemat- ical tool lies in its flexibility for representing various forms in the curve, based on the values of the parameters (mainly the shape parameter) (Murthy et al. 2004). The Weibull function enables density curves to be constructed for a variable of interest in relation to one or more independent variable (Moritz et al. 2009). Several authors have used the Weibull distribution function in forestry, particularly for modelling the diameter distribution of forest stands (Mehtatalo 2004; Nord- Larsen and Cao 2006; Castedo-Dorado et al. 2007; Vallejos- Barra et al. 2009). However, we did not find any studies in Fig. 1 Location of the study area which this model had been used to represent the abundance of tree species in relation to climatic variables. The aims of this study were as follows: (1) to test whether The sampling design was systematic and stratified by clusters. two- and three-parameter Weibull functions can accurately The Land Use and Vegetation Series III chart (scale, represent the abundance of 16 tree species of Durango’s 1:250,000), produced by INEGI (National Institute of temperate forest, in relation to six climate variables, and (2) Statistics, Geography and Informatics), was used to project to define the climatic preferences of selected tree species. the sampling points (CONAFOR 2009). Each main sample The results of this study will be useful for identifying the was referred to as a “conglomerate” and comprised four sub range of distribution and the potential area of maximum units (called “sites”)eachof400m2. Thus, each conglomerate probability of abundance of species of interest on the basis comprised an area of 1,600 m2. A total of 1,804 conglomer- of environmental factors. This information could be used as a ates were distributed at 5 km from each other in the study area reliable basis for constructing ecograms and eco-maps (CONAFOR 2009). representing bioclimatic niches, which is important for forest- Sixteen of the most abundant and representative species of ry management planning and for developing other types of the Sierra Madre Occidental (González-Elizondo et al. 2012) studies. were chosen for this analysis, since they are the most impor- tant both economically and ecologically. The selection includ- ed eight species of the genus Pinus and five of the genus 2Materialsandmethods Quercus: P. arizonica Engelm, P. strobiformis Engelm, P. cembroides Zucc, P. cooperi D. Don, P. durangensis 2.1 Study area Martínez, P. engelmannii Carr, P. leiophylla Schl. & Cham, P. teocote Schl. & Cham, Q. arizonica Sarg, Q. crassifolia The study area is located in the Sierra Madre Occidental Humb & Bonpl, Q. grisea Liebm, Q. magnoliifolia Née and mountain range, within the State of Durango, Mexico, be- Q. sideroxyla Humb. & Bonpl. The other three cases consid- tween geographical coordinates 26° 50′ and 22° 17′ north and ered were Alnus acuminata Kunth, Juniperus deppeana Steud 107° 09 and 102° 30′ west and covering an area of approxi- and a group of Arbutus species, including Arbutus bicolor mately 6.33 million ha (Fig. 1). The main vegetation in the González, Arbutus arizonica Gray, Arbutus madrensis region consists of forests of Pinus, Pinus-Quercus and González, Arbutus tessellata Sørensen, Arbutus occidentalis Quercus-Pinus, small portions of temperate mesophytic for- McVaugh & Rosatti, Arbutus mollis HBK and Arbutus est, and some tropical deciduous
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