Conservation network design for endemic cacti under taxonomic uncertainty

Duarte, Milén; Guerrero, Pablo; Carvallo, Gastón O.; Bustamante, Ramiro O.

doi:10.1016/j.biocon.2014.05.028

Cited by 25 publications

(31 citation statements)

References 57 publications

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“…We selected variables from the 19 bioclimatic variables of Worldclim (Hijmans et al, 2005) for the models that produced the aptitude map; these are the most often used predefined bioclimatic variables available in the Worldclim global database of climate surfaces (Hijmans et al, 2005;Pliscoff & Fuentes, 2011;Duarte et al, 2014;Peña et al, 2014). These variables are: annual mean temperature (Bio1); mean monthly temperature range (Bio2); isothermality (Bio3); temperature seasonality (Bio4); maximum temperature of warmest month (Bio5); minimum temperature of coldest month (Bio6); temperature annual range (Bio7); mean temperature of wettest quarter (Bio8), mean temperature of driest quarter (Bio9), mean temperature of warmest quarter (Bio10); mean temperature of coldest quarter (Bio11); annual precipitation (Bio12); precipitation in wettest month (Bio13); precipitation in driest month (Bio14); precipitation seasonality (Bio15); precipitation in wettest quarter (Bio16); precipitation in driest quarter (Bio17); precipitation in warmest quarter (Bio18) and precipitation in coldest quarter (Bio19).…”

Section: Environmental Variablesmentioning

confidence: 99%

Climatic zoning of chia (Salvia hispanica L.) in Chile using a species distribution model

Cortés

Silva

Baginsky

et al. 2017

Span. j. agric. res.

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Salvia hispanica L., known as chia, is a plant species originally from tropical and subtropical Mesoamerica. It is economically important because its seeds produce omega-3, thus its demand has increased in Chile and internationally. As there is no commercial production in Chile, we investigated the places in the country where this species could be cultivated in order to satisfy at the least the national demand. The aim of the study was to quantify the main climatic requirements of chia and to produce a climatic aptitude map for chia cultivation in Chile. The methodology was based on the Maxent species distribution model. We used 78 georeferenced data points where chia is grown throughout the world, mostly from the GBIF database, along with raster climatic layers from the Worldclim project. We estimated the performance curves of annual precipitation and temperature along with their respective optimal and critical values, in analogy with the Ecocrop method. The maps used two scenarios for crops in different conditions, with and without irrigation. The results indicated that the intermediate depression and coastal edge of mainly the Arica y Parinacota, Tarapacá, Antofagasta and Atacama regions have optimum conditions for irrigated crops, but it would be impossible in rainfed conditions. We conclude that chia's cultivation niche is reduced due to its tropical climate requirements; however, it can be cultivated under irrigation in northern Chile.Additional keywords: functional food; performance curves; suitability, Maxent. Abbreviations used: AUC (area under the curve); C n (critical minimum value); C x (critical maximum value); GBIF (Global Biodiversity Information Facility); O n (optimal minimum value); O x (optimal maximum value); PP (probability of presence); ROC (receiver operating characteristic); SDM (species distribution model) Tnc (minimum temperature of the coldest month); Tnw (minimum temperature of the warmest month); Txc (maximum temperature of the coldest month); Txw (maximum temperature of the warmest month).

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Section: Environmental Variablesmentioning

confidence: 99%

Climatic zoning of chia (Salvia hispanica L.) in Chile using a species distribution model

Cortés

Silva

Baginsky

et al. 2017

Span. j. agric. res.

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“…This difficulty, compounded by the global decline of taxonomic expertise, leads to situations where ecological datasets are often used without much attention being given to the quality of the underlying taxonomic data (Maldonado et al 2015). This is concerning because a lack of appropriate taxonomic consideration can have serious impacts on the robustness of outcomes from large dataset studies (Jansen and Dengler 2010, Duarte et al 2014, Zermoglio et al 2016). The protocol we have presented here is helpful because it brings together an integrated management plan that combines usually disparate elements of dataset assembly which are not always considered together in a systematic way for plant ecological datasets.…”

Section: Discussionmentioning

confidence: 99%

Taxonomic perils and pitfalls of dataset assembly in ecology: a case study of the naturalized Asteraceae in Australia

Murray¹,

Martin²,

Phillips³

et al. 2017

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The value of plant ecological datasets with hundreds or thousands of species is principally determined by the taxonomic accuracy of their plant names. However, combining existing lists of species to assemble a harmonized dataset that is clean of taxonomic errors can be a difficult task for non-taxonomists. Here, we describe the range of taxonomic difficulties likely to be encountered during dataset assembly and present an easy-to-use taxonomic cleaning protocol aimed at assisting researchers not familiar with the finer details of taxonomic cleaning. The protocol produces a final dataset (FD) linked to a companion dataset (CD), providing clear details of the path from existing lists to the FD taken by each cleaned taxon. Taxa are checked off against ten categories in the CD that succinctly summarize all taxonomic modifications required. Two older, publicly-available lists of naturalized Asteraceae in Australia were merged into a harmonized dataset as a case study to quantify the impacts of ignoring the critical process of taxonomic cleaning in invasion ecology. Our FD of naturalized Asteraceae contained 257 species and infra-species. Without implementation of the full cleaning protocol, the dataset would have contained 328 taxa, a 28% overestimate of taxon richness by 71 taxa. Our naturalized Asteraceae CD described the exclusion of 88 names due to nomenclatural issues (e.g. synonymy), the inclusion of 26 updated currently accepted names and four taxa newly naturalized since the production of the source datasets, and the exclusion of 13 taxa that were either found not to be in Australia or were in fact doubtfully naturalized. This study also supports the notion that automated processes alone will not be enough to ensure taxonomically clean datasets, and that manual scrutiny of data is essential. In the long term, this will best be supported by increased investment in taxonomy and botany in university curricula. NeoBiotaBrad R. Murray et al. / NeoBiota 34: 1-20 (2017) 2

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“…at the species and infraspecific ranks. Occurrence data were compiled from literature (Ritter, ; Kattermann, ; Guerrero & al., ,b; Duarte & al., ), herbaria (CONC, SGO) and our own field observations.…”

Section: Introductionmentioning

confidence: 99%

“…The (Backeberg, 1938) and Neochilenia (Dölz, 1942). However, Ritter (1959) Backeberg's (and Ritter's) narrow generic concepts were widely adopted between the sixties and eighties of the last century, and by later authors (e.g., Zuloaga & al., 2007;Kiesling & al., 2008;Saldivia & Faúndez-Yancas, 2011;Duarte & al., 2014). Donald & Rowley (1966) proposed to unite Berger's Pyrrhocactus, Backeberg's Islaya, Horridocactus and Neochilenia and Itô's Thelocephala under the oldest name Neoporteria, but excluded Philippi's Eriosyce.…”

Section: ■ Introductionmentioning

confidence: 99%

Molecular phylogeny of the large South American genus Eriosyce (Notocacteae, Cactaceae): Generic delimitation and proposed changes in infrageneric and species ranks

Guerrero

Walter²,

Arroyo

et al. 2019

TAXON

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Eriosyce is one of most species‐rich genera within Notocacteae (Cactaceae) harboring a variety of stem and flower morphologies, and fruits with basal abscission. The lack of a well‐sampled molecular phylogeny contributes to the current taxonomic instability of the genus, where its circumscription and infrageneric classification has been questioned. Specimens of Eriosyce (63 taxa) plus 19 outgroups were analyzed through sequencing three plastid noncoding introns (rpl32‐trnL, trnL‐trnF, trnH‐psbA), one plastid gene (ycf1), and one nuclear gene (PHYC). Individual markers and concatenated matrices were analyzed using maximum likelihood and Bayesian approaches. Phylogenetic analyses strongly support the monophyly of Eriosyce s.l. Furthermore, seven clades within Eriosyce s.l. were defined based on supported branches, although one of them was weakly supported. Our results suggest that some past taxonomic proposals have low phylogenetic support and should no longer be used, e.g., based on their scattered positions in the phylogenetic reconstruction, several infraspecific taxa appear unrelated to the typical form of the species in which they had been placed. We present a phylogeny‐informed infrageneric classification of the genus Eriosyce, and new combinations are proposed to update the nomenclature of species and sections.

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Conservation network design for endemic cacti under taxonomic uncertainty

Cited by 25 publications

References 57 publications

Climatic zoning of chia (Salvia hispanica L.) in Chile using a species distribution model

Climatic zoning of chia (Salvia hispanica L.) in Chile using a species distribution model

Taxonomic perils and pitfalls of dataset assembly in ecology: a case study of the naturalized Asteraceae in Australia

Molecular phylogeny of the large South American genus Eriosyce (Notocacteae, Cactaceae): Generic delimitation and proposed changes in infrageneric and species ranks

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