Global tropical dry forest extent and cover: A comparative study of bioclimatic definitions using two climatic data sets

Ocón, Jonathan P.; Ibanez, Thomas; Franklin, Janet; Pau, Stéphanie; Keppel, Gunnar; Rivas‐Torres, Gonzalo; Shin, Michael; Gillespie, Thomas W.

doi:10.1371/journal.pone.0252063

Cited by 30 publications

(13 citation statements)

References 55 publications

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“…Components of environmental gradients influence vegetation dynamics and their structure directly or indirectly [ 1 , 2 ]. The surrounding microclimatic conditions are responsible for general plant characters and traits, resulting in vegetation heterogeneity [ 3 , 4 ]. The vegetation of an area can be classified based on physiognomy and functional combination or on its component species that discriminate the physical appearance of vegetation.…”

Section: Introductionmentioning

confidence: 99%

Phyto-ecological studies and distribution pattern of plant species and communities of Dhirkot, Azad Jammu and Kashmir, Pakistan

et al. 2021

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Plant species represent the hierarchical expression of vegetation as it is affected by various environmental gradients. We explored the plant species composition, distribution pattern, communities formation and their respective indicators under the influence of various environmental factors in the Dhirkot region, Azad Jammu and Kashmir. It was hypothesized that different environmental factors were responsible for the formation of various plant communities each with a distinct indicator. Quantitative ecological techniques were used for the sampling of vegetation. A total of 114 quadrats were established in 13 selected sampling sites. Phytosociological attributes were calculated for each plant species at each quadrat. Soil samples were collected and analyzed using different standard protocols. All the collected data were analyzed using Cluster Analysis, Indicator Species Analysis and Canonical Correspondence Analysis of PCORD and CANOCO software, respectively. A total of 145 plant species were recorded belong to 62 different families. Asteraceae and Lamiaceae were the dominant families, represented by 12 species each (8.27%). Cluster Analysis classify all the stations and plants into four major plant communities as 1) Olea-Desmodium-Prunilla community. 2) Abies-Zanthoxylum-Pteracanthus community 3) Cedrus-Elaeagnus-Hypericum community 4) Alnus-Myrsine–Ranunculus community. Soil pH, electrical conductivity, soil saturation, organic matter and altitude were the significant environmental factors that play its essential role in the plant species distribution, composition, formation of major plant communities and their respective indicators in the region. It is recommended that the identified indicator and rare plant species of the investigated area can further be grown for conservation and management purposes in in-situ environment.

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Section: Introductionmentioning

confidence: 99%

Phyto-ecological studies and distribution pattern of plant species and communities of Dhirkot, Azad Jammu and Kashmir, Pakistan

et al. 2021

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“…The source of climate data was not accounted for in SDM studies until recently (Baker et al 2016; Morales-Barbero and Vega-Álvarez 2019; Datta et al 2020; Ocon 2020; Dubos et al 2022b, a; Stewart et al 2022). To the best of our knowledge, this study is the first to account for multiple sources of climate data in invasion risk assessments.…”

Section: Discussionmentioning

confidence: 99%

Choice of climate data influences current and future global invasion risks for twoPhelsumageckos

Dubos

Fieldsend

Roesch

et al. 2022

Preprint

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Invasion risks may be influenced either negatively or positively by climate change, depending on the species. These can be predicted with species distribution models, but projections can be strongly affected by input environmental data (climate data source, Global Circulation Models and Shared Socio-economic Pathways SSP). We modelled the distribution of Phelsuma grandis and P. laticauda, two Malagasy reptiles that are spreading globally. We accounted for drivers of spread and establishment using socio-economic factors (e.g., distance from ports) and two climate data sources, i.e., Climatologies at High Resolution for the Earth's and Land Surface Areas (CHELSA) and Worldclim. We further quantified the degree of agreement in invasion risk models that utilised CHELSA and Worldclim data for current and future conditions. Most areas identified as highly exposed to invasion risks were consistently identified (e.g. in Caribbean and Pacific Islands). However, projected risks differed locally. We also found notable differences in quantitative invasion risk (3% difference in suitability scores for P. laticauda and up to 14% for P. grandis) under current conditions. Despite both species native distributions overlap substantially, climate change will drive opposite responses on invasion risks by 2070 (decrease for P. grandis, increase for P. laticauda). Overall, projections of future invasion risks were the most affected by climate data source, followed by SSP. Our results highlight that assessments of current and future invasion risks are sensitive to the climate data source, especially in Islands. We stress the need to account for multiple climatologies when assessing invasion risks.

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“…Dry tropical forests are the utmost vulnerable of most dry forest ecosystems and they are contended to warrant significance for protection because they are fragments of formerly extended ecosystems which are now nonexistent (Ocón et al 2021). They hold varied and exceptional biological communities which their logging backs the loss of the planets biodiversity (Cabin et al 2000;DryFlor et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Forest Structure and Tree Species Diversity of the Abasumba Globally Significant Biodiversity Area, Ghana

Kabutey

Wodah

2023

J.Tropical Biodiversity Biotechnology

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We studied the forest structure and tree species diversity with diameter-at-breast-height (dbh) ≥ 10 cm in the Abasumba Globally Significant Biodiversity Area Ghana. Sixteen 25 m * 25 m plots were demarcated and trees with dbh ≥ 10 cm were inventoried following International Plant Nomenclature Index. The characteristic three–storey structure of tropical forests was shown, 68.7% of trees were in the lower 4.5–18 m and middle 18–30 m storeys. A majority 91.4% of 342 trees was in the dbh of 10–30 cm and a least 8.6% of 32 trees in 31–60 cm had dbh ˃ 60 cm. Total of 46 species, 38 genera and 17 families, with mean Alpha, Shannon and Simpson’s Diversity indices of 13.9, 1.44 and 0.07 and importance value index of 300.0 for 374 trees ha-1 was recorded. Plant families Sterculiaceae, Meliaceae, Leguminosae, Ulmaceae and Bombacaceae was the majority encountered while Triplochiton scleroxylon, Cola millenii, Trichilia monadelpha, Hymenostegia afzelii, Celtis mildbraedii, Ceiba pentandra and Ficus sur was the most occurring species in 54.0% of the plots accounting for 52.0% of the IVI for all trees. Blighia sapida, Bridelia grandis, Dialium guineense, Draceana arborea, Ficus sur, Holarrhena floribunda, Holoptelea grandis, Margaritaria discoidea, Rauvolfia vomitoria, Trilepisium madagascariense, Vitex ferruginea, Ximenia americana and Xylia evansii had one individual in the 10,000 m2 area indicated that they are rare and should be given conservation priority in the forest reserve.

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Global tropical dry forest extent and cover: A comparative study of bioclimatic definitions using two climatic data sets

Cited by 30 publications

References 55 publications

Phyto-ecological studies and distribution pattern of plant species and communities of Dhirkot, Azad Jammu and Kashmir, Pakistan

Phyto-ecological studies and distribution pattern of plant species and communities of Dhirkot, Azad Jammu and Kashmir, Pakistan

Choice of climate data influences current and future global invasion risks for twoPhelsumageckos

Forest Structure and Tree Species Diversity of the Abasumba Globally Significant Biodiversity Area, Ghana

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