Seed Germination of Arboreal–Shrub Species with Different Dispersal Mechanisms in a Brazilian Tropical Dry Forest

Ferreira-Nunes, Yule; Luz, Giovana Rodrigues da; Souza, Saimo R. de; Silva, Diellen Librelon da; Magalhães-Veloso, Maria; Espírito-Santo, Mário M.; Santos, Rubens Manoel dos

doi:10.1201/b15417-19

Cited by 4 publications

(4 citation statements)

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“…Furthermore, we found evidence that community composition and vegetative structure varied across stages of succession in the TDF of Álamos, Sonora (Lebrija‐Trejos et al, ; Letcher et al, ). Future studies should examine the relationship between succession and functional groups (Ferreira‐Nunes et al, ; Ward, ). In addition, it is important to design dynamic studies of woody vegetation that measure direct change in the vegetation attributes over time.…”

Section: Resultsmentioning

confidence: 99%

Removal of cattle accelerates tropical dry forest succession in Northwestern Mexico

et al. 2020

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Domestic livestock influence patterns of secondary succession across forest ecosystems. However, the effects of cattle on the regeneration of tropical dry forests (TDF) in Mexico are poorly understood, largely because it is difficult to locate forests that are not grazed by cattle or other livestock. We describe changes in forest composition and structure along a successional chronosequence of TDF stands with and without cattle (chronic grazing or exclusion from grazing for ~ 8 year). Forest stands were grouped into five successional stages, ranging from recently abandoned to mature forest, for a total of 2.7 ha of the sampled area. The absence of cattle increased woody plant (tree and shrub) density and species richness, particularly in mid‐successional and mature forest stands. Species diversity and evenness were generally greater in sites where cattle were removed and cattle grazing in early successional stands reduced establishment and/or recruitment of new individuals and species. Removal of cattle from forest stands undergoing succession appears to facilitate a progressive and non‐linear change of forest structure and compositional attributes associated with rapid recovery, while cattle browsing acts as a chronic disturbance factor that compromises the resilience and structural and functional integrity of the TDF in northwestern Mexico. These results are important for the conservation, management, and restoration of Neotropical dry forests.

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Section: Resultsmentioning

confidence: 99%

Removal of cattle accelerates tropical dry forest succession in Northwestern Mexico

et al. 2020

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“…We used the "sdm" package v. 1.0-81 (Naimi and Araujo 2016) to model species distributions with five different modeling algorithms, regression-based or machine learning-based (support vector machines, random forest, boosted regression tree, multivariate adaptive regression splines and maximum entropy), performing five runs and 5kfolds cross-validation for each model, and selecting 1000 random background points for prediction. Ideally, edaphic variables would significantly improve model accuracy because STDFs favor high pH and relatively fertile soils (Ferreira-Nunes et al 2013, Pennington et al 2000. However, we did not include edaphic variables in the distribution models, since soil data in the required resolution are lacking to a large extent for the study area and are not available for past time slices.…”

Section: Present and Past Distribution Rangesmentioning

confidence: 99%

“…savannas) in the middle of the Amazonian Basin (Quijada-Mascareñas et al 2007). This is not likely for STDFs, as they do not spread through Amazonian rainforests because of the unsuitable edaphic conditions, which in turn would favor species from savanna with similar soil conditions (Pennington et al 2000, Ferreira-Nunes et al 2013, Bueno et al 2016. Conversely, the apparent tendency in species range expansions observed from the Holocene to the LGM is related to a shift of forest distributions in South America.…”

Section: Responses To Pleistocene Climatic Fluctuationsmentioning

confidence: 99%

Disjunct plant species in South American seasonally dry tropical forests responded differently to past climatic fluctuations

Colli‐Silva¹,

Pirani²,

Zizka³

2021

Frontiers of Biogeography

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“…The trees of SDTF tend to be multiple-stemmed; such trees account for 58% of total basal area . The majority of stems tend to be of small diameter, less than 10 cm at diameter at breath height (DBH) , Ferreira-Nunes et al 2013, Sabogal 1992. The appearance of the forest is therefore unlike that of humid tropical forests, which are characterized by large trees with big girths.…”

Section: Characteristics Of Sdtfmentioning

confidence: 99%

Connecting the dots : modeling the efects of topography on carbon stocks to promote efficiency in local REDD+ planning

Melgoza¹,

Ángel²

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Tropical forests are of global concern in the context of climate change. This is because forests can both emit carbon dioxide (CO2), an important greenhouse gas (GHG), and sequester it in the biomass of trees. The ability of a given type of forest to hold stocks of carbon is strongly influenced both by topography of the landscape and by the human uses that are present. Topography is not just indicated in the literature as a template within the landscape that defines the patterns of density biomass, but also as a driving factor of human uses. While altitude, slope and terrain convexity, among others, show a relationship with biomass patterns, human activities such as shifting cultivation, grazing and extraction of

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Seed Germination of Arboreal–Shrub Species with Different Dispersal Mechanisms in a Brazilian Tropical Dry Forest

Cited by 4 publications

References 0 publications

Removal of cattle accelerates tropical dry forest succession in Northwestern Mexico

Removal of cattle accelerates tropical dry forest succession in Northwestern Mexico

Disjunct plant species in South American seasonally dry tropical forests responded differently to past climatic fluctuations

Connecting the dots : modeling the efects of topography on carbon stocks to promote efficiency in local REDD+ planning

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