Optimal census method to estimate population sizes of species growing on rock walls: The case of mature Primula pedemontana

Alfaro-Saíz, Estrella; Granda, Víctor; Rodríguez, Alfonso Insuasty; Redondo, Raquel Alonso; García-González, M.

doi:10.1016/j.gecco.2019.e00563

Cited by 3 publications

(3 citation statements)

References 28 publications

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“…The proposed method could be very useful in other experimental methodologies that involve inaccessibility and/or extreme environments. This method was previously applied in the article published by Alfaro-Saiz et al [17].…”

Section: Methods Detailsmentioning

confidence: 99%

Inaccessible rocky cliffs: An optimized method for plant data collection in extreme environments

et al. 2019

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Section: Methods Detailsmentioning

confidence: 99%

Inaccessible rocky cliffs: An optimized method for plant data collection in extreme environments

et al. 2019

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“…It is exclusive to the St. Catherine Protectorate in the Sinaic biogeographic subsector of Egypt [53,81]. As most of the mountainous species of this genus [82], this plant generally grows in cliffs near water-springs, where the interstitial soils are rich in moisture content and organic matter [55,56,60]. The vegetative growth of P. boveana blooms over the four seasons with maximum activity in September [56].…”

Section: Study Area and Speciesmentioning

confidence: 99%

Predicting the Potential Current and Future Distribution of the Endangered Endemic Vascular Plant Primula boveana Decne. ex Duby in Egypt

Abdelaal

Fois

Dakhil

et al. 2020

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Knowledge about population attributes, current geographic distribution, and changes over predicted climate change for many threatened endemic vascular plants is particularly limited in arid mountain environments. Primula boveana is one of the rarest and threatened plants worldwide, surviving exclusively in Saint Catherine Protectorate in the Sinaic biogeographic subsector of Egypt. This study aimed to define the current state of P. boveana populations, predict its current potential distribution, and use the best-model outputs to guide in field sampling and to forecast its future distribution under two climate change scenarios. The MaxEnt algorithm was used by relating 10 occurrence-points with different environmental predictors (27 bioclimatic, 3 topographic, and 8 edaphic factors). At the current knowledge level, the population size of P. boveana consists of 796 individuals, including 137 matures, distributed in only 250 m2. The Canonical Correlation Analysis (CCorA) displayed that population attributes (density, cover, size index, and plant vigor) were positively correlated with elevation, precipitation, and pH. Based on the best-fitting model, most predicted suitable central sites (69 km2) of P. boveana were located in the cool shaded high-elevated middle northern part of St. Catherine. Elevation, precipitation, temperature, and soil pH were the key contributors to P. boveana distribution in Egypt. After field trips in suitable predicted sites, we confirmed five extinct localities where P. boveana has been previously recorded and no new population was found. The projected map showed an upward range shift through the contraction of sites between 1800 and 2000 m and expansion towards high elevation (above 2000 m) at the southern parts of the St. Catherine area. To conserve P. boveana, it is recommended to initiate in situ conservation through reinforcement and reintroduction actions.

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“…To overcome the inaccessibility of such habitats, remote data collection by means of optical tools (i.e., binoculars, telescopes, telephoto lenses) is often used [25][26][27]. In case of long-term monitoring, the Fixed Point Photography (FPP) or Photo Point Monitoring (PPM) technique was used [28]; it consists in taking multitemporal terrestrial photographs of a site, from a fixed point (x,y,z coordinates) and angle, using always the same lens focal length.…”

Section: Introductionmentioning

confidence: 99%

Monitoring of Plant Species and Communities on Coastal Cliffs: Is the Use of Unmanned Aerial Vehicles Suitable?

et al. 2020

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Cliffs are reservoirs of biodiversity; therefore, many plant species and communities of inland and coastal cliffs are protected by Council Directive 92/43/EEC (European Economic Community), and their monitoring is mandatory in European Union countries. Surveying plants on coastal cliff by traditional methods is challenging and alternatives are needed. We tested the use of a small Unmanned Aerial Vehicle (UAV) as an alternative survey tool, gathering aerial images of cliffs at Palinuro Cape (Southern Italy). Four photo-interpreters analysed independently the derived orthomosaic and plotted data needed for the monitoring activity. Data showed to be not affected by photo-interpreters and reliable for the prescribed monitoring in the European Union (EU). Using the GIS analysis tools, we were able to: (a) recognise and map the plant species, (b) derive and measure the area of distribution on the cliff of habitat and species, and (c) count Eokochia saxicola individuals and gather quantitative data on their projected area. Quality of the images represented the main constraint, but incoming technological improvements of sensors and UAVs may overcome this problem. Overall results support the use of UAVs as an affordable and fast survey technique that can rapidly increase the number of studies on cliff habitats and improve ecological knowledge on their plant species and communities.

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Optimal census method to estimate population sizes of species growing on rock walls: The case of mature Primula pedemontana

Cited by 3 publications

References 28 publications

Inaccessible rocky cliffs: An optimized method for plant data collection in extreme environments

Inaccessible rocky cliffs: An optimized method for plant data collection in extreme environments

Predicting the Potential Current and Future Distribution of the Endangered Endemic Vascular Plant Primula boveana Decne. ex Duby in Egypt

Monitoring of Plant Species and Communities on Coastal Cliffs: Is the Use of Unmanned Aerial Vehicles Suitable?

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