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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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 |
work_keys_str_mv |
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