Version 1
: Received: 28 November 2023 / Approved: 29 November 2023 / Online: 30 November 2023 (05:20:41 CET)
How to cite:
CORREA, D.L.; Martorano, L.G.; Silva Lisboa, L.S.; Dias, C.T.D.S.; Santos, A.S.; Mourão, R.H.V. Distribution of Carapa Guianensis Associated to Topoclimatic Variables Indicating Potential Clusters for Cultivation in the State of Pará. Preprints2023, 2023111887. https://doi.org/10.20944/preprints202311.1887.v1
CORREA, D.L.; Martorano, L.G.; Silva Lisboa, L.S.; Dias, C.T.D.S.; Santos, A.S.; Mourão, R.H.V. Distribution of Carapa Guianensis Associated to Topoclimatic Variables Indicating Potential Clusters for Cultivation in the State of Pará. Preprints 2023, 2023111887. https://doi.org/10.20944/preprints202311.1887.v1
CORREA, D.L.; Martorano, L.G.; Silva Lisboa, L.S.; Dias, C.T.D.S.; Santos, A.S.; Mourão, R.H.V. Distribution of Carapa Guianensis Associated to Topoclimatic Variables Indicating Potential Clusters for Cultivation in the State of Pará. Preprints2023, 2023111887. https://doi.org/10.20944/preprints202311.1887.v1
APA Style
CORREA, D.L., Martorano, L.G., Silva Lisboa, L.S., Dias, C.T.D.S., Santos, A.S., & Mourão, R.H.V. (2023). Distribution of Carapa Guianensis Associated to Topoclimatic Variables Indicating Potential Clusters for Cultivation in the State of Pará. Preprints. https://doi.org/10.20944/preprints202311.1887.v1
Chicago/Turabian Style
CORREA, D.L., Alberdan Silva Santos and Rosa Helena V. Mourão. 2023 "Distribution of Carapa Guianensis Associated to Topoclimatic Variables Indicating Potential Clusters for Cultivation in the State of Pará" Preprints. https://doi.org/10.20944/preprints202311.1887.v1
Abstract
Geotechnology techniques were used to specialize the occurrences of the species, based on forest inventories and information available in open-access databases, as well as data from herbaria with catalogs available online, and bibliographical references indicating places of occurrence in the Amazon. GIS-integrated Weighted Mean Ordination (WMO) was chosen as the technique for evaluating the topoclimatic index. Thirteen topoclimatic variables were used, applying principal component analysis techniques such as multidimensional preference to compare the participation of each variable in the two components; Biplot to identify the relationships between the variables and cluster to identify the average distance between proximal classes. The interpolated surfaces of the specialized climatic variables were separated into frequency bands that helped calculate the probability of occurrence, from which a scale of 0 to 10 was established, indicating lower and higher probabilities. Three potential zones were identified, classified as high, medium and low, where areas with high potential occupied 32% of the territory of Pará, medium areas 36% and 32% with low potential for cultivation and presence. The intermediate class had the highest percentage, totaling 36% of the state, explained by the average ratio between the weights adopted.
Keywords
andiroba; natural resources; topoclima
Subject
Biology and Life Sciences, Forestry
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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