Modeling and mapping of Inselberg habitats for environmental conservation in the Atlantic Forest and Caatinga domains, Brazil

Silveira, Vitor Alves da; Veloso, Gustavo Vieira; Paula, Hígor Brandão de; Santos, Alexandre Rosa dos; Schaefer, Carlos Ernesto Gonçalves Reynaud; Filho, Elpídio Inácio Fernandes; Francelino, Márcio Rocha

doi:10.1016/j.envadv.2022.100209

Cited by 3 publications

(2 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, the distribution of conservation units should account for both the changing climate and the functional and phylogenetic diversity of the lithobiomes studied. Finally, it is of utmost importance to have accurate maps of lithobiomes in South America in order to comprehensively analyze the representation of outcrops within protected areas as well as to indicate research priorities (Bystriakova et al, 2019; da Silveira et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

On the rocks: Biogeography and floristic identity of rocky ecosystems in eastern South America

Azevedo,

Zappi,

de Oliveira

et al. 2024

J of Sytematics Evolution

View full text Add to dashboard Cite

The geodiversity of rocky ecosystems includes diverse plant communities with specific names, but their continental‐scale floristic identity and the knowledge on the role of macroclimate remain patchy. Here, we assessed the identity of plant communities in eastern Brazil across multiple types of rocky landscapes and evaluated the relative importance of climatic variables in constraining floristic differentiation. We provided lists of diagnostic species and an assessment of the conservation status of the identified floristic groups. We compiled a data set of 151 sites (4498 species) from rocky ecosystems, including campos rupestres, campos de altitude, granitic‐gneiss lowland inselbergs, and limestone outcrops. We used unsupervised clustering analysis followed by ANOSIM to assess floristic groups among sites. We performed a random forest variable selection to test whether the identified floristic groups occupy distinct climatic spaces. Six groups (lithobiomes) segregated floristically according to lithology and climate. Alongside campos de altitude and limestone outcrops, inselbergs were divided according to the biome in which they occur (Atlantic Forest or Caatinga), and campos rupestres were largely segregated according to their lithological matrix (ironstone or quartzitic). Plant communities of Caatinga inselbergs were more similar to limestone outcrops, while Atlantic Forest inselbergs communities resembled campos de altitude. The composition of plant communities on outcrops seems to be largely constrained by lithology, but climatic factors are also meaningful for sites with similar lithology. The current network of protected areas does not cover these unique ecosystems and their floristic heterogeneity, with Caatinga inselbergs and limestone outcrops being the least protected.

show abstract

Section: Discussionmentioning

confidence: 99%

On the rocks: Biogeography and floristic identity of rocky ecosystems in eastern South America

Azevedo,

Zappi,

de Oliveira

et al. 2024

J of Sytematics Evolution

View full text Add to dashboard Cite

show abstract

“…Decision trees and other supervised machine learning approaches (e.g., random forest) attempt to model the relationship between a response and its predictors (Breiman 2001), offer powerful alternatives to traditional ecological modeling approaches (e.g., generalized linear models; De'ath and Fabricius 2000, Olden et al 2008), and have been increasingly applied in investigations of wildlife habitat use (Han et al 2017, Mi et al 2017, Cushman and Wasserman 2018, Carroll et al 2021, Rather et al 2021). We built decision trees by incorporating plot‐level data into a boosted C5.0 algorithm (Quinlan 1993), which we chose because of its nominal sensitivity to multicollinearity and unbalanced data, ability to manage missing values, and relative ease of interpretation (Guilherme et al 2018, Szilassi et al 2019, Moeinaddini et al 2020, Tanyu et al 2021, da Silveira et al 2022). Allowing for missing values was particularly important in selecting our modeling approach, as calculation of some values in our dataset was contingent on another value being non‐zero (e.g., we could not calculate average log diameter in plots that did not contain any logs).…”

Section: Methodsmentioning

confidence: 99%

Structural complexity characterizes fine‐scale forest conditions used by Pacific martens

et al. 2023

View full text Add to dashboard Cite

When wildlife species exhibit unexpected associations with vegetation, replication of studies in different locales can illuminate whether patterns of use are consistent or divergent. Our objective was to describe fine-scale forest conditions used by Pacific martens (Martes caurina) at 2 study sites in northern California that differed in forest composition and past timber harvest. We identified denning and resting locations of radio-marked martens and sampled structure-and plot-level vegetation using standardized forest inventory methods between 2009-2021. Woody structures used by martens were significantly larger than randomly available structures across types (e.g., live tree, snag, log) and at both study sites. Den and rest structures occurred in areas characterized by higher numbers of logs and snags, lower numbers of live trees and stumps, larger diameter live trees and logs, and

show abstract

Support Vector Machine for Satellite Images Classification Using Radial Basis Function Kernel Method

Mansor,

Awang,

Malami

et al. 2024

Communications in Computer and Information Science

View full text Add to dashboard Cite

Modeling and mapping of Inselberg habitats for environmental conservation in the Atlantic Forest and Caatinga domains, Brazil

Cited by 3 publications

References 55 publications

On the rocks: Biogeography and floristic identity of rocky ecosystems in eastern South America

On the rocks: Biogeography and floristic identity of rocky ecosystems in eastern South America

Structural complexity characterizes fine‐scale forest conditions used by Pacific martens

Support Vector Machine for Satellite Images Classification Using Radial Basis Function Kernel Method

Contact Info

Product

Resources

About