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

This study calculates the minimum effort needed to survey the species Primula pedemontana Thomas ex. Gaudin on the vertical walls of Aguja de Pastel in the Curavacas Massif (Spain). The short and variable period of flowering that this plant has, the inaccessibility and the physiognomy of the place i...

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Main Authors: Estrella Alfaro-Saiz, Víctor Granda, Alberto Rodríguez, Raquel Alonso-Redondo, Marta Eva García-González
Format: Article
Language:English
Published: Elsevier 2019-01-01
Series:Global Ecology and Conservation
Online Access:http://www.sciencedirect.com/science/article/pii/S2351989418305109
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spelling doaj-896f489aff8d46a8ac12194cab92926b2020-11-25T01:02:08ZengElsevierGlobal Ecology and Conservation2351-98942019-01-0117Optimal census method to estimate population sizes of species growing on rock walls: The case of mature Primula pedemontanaEstrella Alfaro-Saiz0Víctor Granda1Alberto Rodríguez2Raquel Alonso-Redondo3Marta Eva García-González4Department of Biodiversity and Environmental Management, University of León, Spain; Corresponding author.CTFC Forest Science Centre of Catalonia, SpainDepartment of Biodiversity and Environmental Management, University of León, SpainDepartment of Biodiversity and Environmental Management, University of León, SpainDepartment of Biodiversity and Environmental Management, University of León, SpainThis study calculates the minimum effort needed to survey the species Primula pedemontana Thomas ex. Gaudin on the vertical walls of Aguja de Pastel in the Curavacas Massif (Spain). The short and variable period of flowering that this plant has, the inaccessibility and the physiognomy of the place in which it grows, the resources needed, as well as the meteorological harshness linked to the time of the year in which the censuses are carried out make it a priority to optimize the time spent on fieldwork. For this reason, we designed a method to reduce the sampling load. This method allows us to reduce the time spent and the material, methodological and human resources used in censuses, while maintaining the highest possible precision. Keywords: Minimal effort, Census optimization, Rupicolous flora, Monitoring, Inaccessibilityhttp://www.sciencedirect.com/science/article/pii/S2351989418305109
collection DOAJ
language English
format Article
sources DOAJ
author Estrella Alfaro-Saiz
Víctor Granda
Alberto Rodríguez
Raquel Alonso-Redondo
Marta Eva García-González
spellingShingle Estrella Alfaro-Saiz
Víctor Granda
Alberto Rodríguez
Raquel Alonso-Redondo
Marta Eva García-González
Optimal census method to estimate population sizes of species growing on rock walls: The case of mature Primula pedemontana
Global Ecology and Conservation
author_facet Estrella Alfaro-Saiz
Víctor Granda
Alberto Rodríguez
Raquel Alonso-Redondo
Marta Eva García-González
author_sort Estrella Alfaro-Saiz
title Optimal census method to estimate population sizes of species growing on rock walls: The case of mature Primula pedemontana
title_short Optimal census method to estimate population sizes of species growing on rock walls: The case of mature Primula pedemontana
title_full Optimal census method to estimate population sizes of species growing on rock walls: The case of mature Primula pedemontana
title_fullStr Optimal census method to estimate population sizes of species growing on rock walls: The case of mature Primula pedemontana
title_full_unstemmed Optimal census method to estimate population sizes of species growing on rock walls: The case of mature Primula pedemontana
title_sort optimal census method to estimate population sizes of species growing on rock walls: the case of mature primula pedemontana
publisher Elsevier
series Global Ecology and Conservation
issn 2351-9894
publishDate 2019-01-01
description This study calculates the minimum effort needed to survey the species Primula pedemontana Thomas ex. Gaudin on the vertical walls of Aguja de Pastel in the Curavacas Massif (Spain). The short and variable period of flowering that this plant has, the inaccessibility and the physiognomy of the place in which it grows, the resources needed, as well as the meteorological harshness linked to the time of the year in which the censuses are carried out make it a priority to optimize the time spent on fieldwork. For this reason, we designed a method to reduce the sampling load. This method allows us to reduce the time spent and the material, methodological and human resources used in censuses, while maintaining the highest possible precision. Keywords: Minimal effort, Census optimization, Rupicolous flora, Monitoring, Inaccessibility
url http://www.sciencedirect.com/science/article/pii/S2351989418305109
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