Spatial structure of the Caatinga woody flora: abundance patterns have environmental, Pleistocene, and indigenous drivers
Abstract Despite growing knowledge on the distribution and functioning of dryland vegetation types, their internal biodiversity structure (i.e., subregions) is much less studied. In the delineation of subregions, the use of species occurrence or abundance data may reveal different aspects of metacom...
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| Format: | Article |
| Language: | English |
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Academia Brasileira de Ciências
2022-12-01
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| Series: | Anais da Academia Brasileira de Ciências |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000701010&tlng=en |
| _version_ | 1828097231354331136 |
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| author | AUGUSTO C. SILVA ALEXANDRE F. SOUZA |
| author_facet | AUGUSTO C. SILVA ALEXANDRE F. SOUZA |
| author_sort | AUGUSTO C. SILVA |
| collection | DOAJ |
| description | Abstract Despite growing knowledge on the distribution and functioning of dryland vegetation types, their internal biodiversity structure (i.e., subregions) is much less studied. In the delineation of subregions, the use of species occurrence or abundance data may reveal different aspects of metacommunity structure. We revisit the issue of the bioregionalization of the woody flora of the Caatinga, the largest block of the dry forest and woodland biome in Latin America, using abundance data. We also evaluated the drivers of the spatial distribution of plant subregions: historical, current environmental and human effects. Using a K-means partition on interpolated NMDS axes, we identified 10 abundance subregions. Aridity, topography and soil, biome stability since the Pleistocene, and historical indigenous effects were retained by a Multinomial Logistic regression model, and their combined fractions explained most of the abundance variability in subregions. The subregions we present may support spatialized conservation and management decisions in the lack of detailed local data. The present results confirm the Caatinga woody flora broad composition patterns uncovered using presence-absence data in previous studies. Additionally, we found larger subregions than those identified with presence and absence data, suggesting the existence of oligarchies of dominant species in distinct parts of the Caatinga biome. |
| first_indexed | 2024-04-11T07:42:44Z |
| format | Article |
| id | doaj.art-3facdf0ffaf2490e838f4b5534079cb9 |
| institution | Directory Open Access Journal |
| issn | 1678-2690 |
| language | English |
| last_indexed | 2024-04-11T07:42:44Z |
| publishDate | 2022-12-01 |
| publisher | Academia Brasileira de Ciências |
| record_format | Article |
| series | Anais da Academia Brasileira de Ciências |
| spelling | doaj.art-3facdf0ffaf2490e838f4b5534079cb92022-12-22T04:36:25ZengAcademia Brasileira de CiênciasAnais da Academia Brasileira de Ciências1678-26902022-12-0194suppl 310.1590/0001-3765202220211019Spatial structure of the Caatinga woody flora: abundance patterns have environmental, Pleistocene, and indigenous driversAUGUSTO C. SILVAhttps://orcid.org/0000-0003-1486-3897ALEXANDRE F. SOUZAhttps://orcid.org/0000-0001-7468-3631Abstract Despite growing knowledge on the distribution and functioning of dryland vegetation types, their internal biodiversity structure (i.e., subregions) is much less studied. In the delineation of subregions, the use of species occurrence or abundance data may reveal different aspects of metacommunity structure. We revisit the issue of the bioregionalization of the woody flora of the Caatinga, the largest block of the dry forest and woodland biome in Latin America, using abundance data. We also evaluated the drivers of the spatial distribution of plant subregions: historical, current environmental and human effects. Using a K-means partition on interpolated NMDS axes, we identified 10 abundance subregions. Aridity, topography and soil, biome stability since the Pleistocene, and historical indigenous effects were retained by a Multinomial Logistic regression model, and their combined fractions explained most of the abundance variability in subregions. The subregions we present may support spatialized conservation and management decisions in the lack of detailed local data. The present results confirm the Caatinga woody flora broad composition patterns uncovered using presence-absence data in previous studies. Additionally, we found larger subregions than those identified with presence and absence data, suggesting the existence of oligarchies of dominant species in distinct parts of the Caatinga biome.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000701010&tlng=enbeta-diversitybiogeographical patternsenvironmental gradientshuman effectsmacroecologyregionalization |
| spellingShingle | AUGUSTO C. SILVA ALEXANDRE F. SOUZA Spatial structure of the Caatinga woody flora: abundance patterns have environmental, Pleistocene, and indigenous drivers Anais da Academia Brasileira de Ciências beta-diversity biogeographical patterns environmental gradients human effects macroecology regionalization |
| title | Spatial structure of the Caatinga woody flora: abundance patterns have environmental, Pleistocene, and indigenous drivers |
| title_full | Spatial structure of the Caatinga woody flora: abundance patterns have environmental, Pleistocene, and indigenous drivers |
| title_fullStr | Spatial structure of the Caatinga woody flora: abundance patterns have environmental, Pleistocene, and indigenous drivers |
| title_full_unstemmed | Spatial structure of the Caatinga woody flora: abundance patterns have environmental, Pleistocene, and indigenous drivers |
| title_short | Spatial structure of the Caatinga woody flora: abundance patterns have environmental, Pleistocene, and indigenous drivers |
| title_sort | spatial structure of the caatinga woody flora abundance patterns have environmental pleistocene and indigenous drivers |
| topic | beta-diversity biogeographical patterns environmental gradients human effects macroecology regionalization |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000701010&tlng=en |
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