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A geostatistical method in GIS to estimate the amount of seabird guano accumulated on islands and headlands of Perú

Original title: A geostatistical method in GIS to estimate the amount of seabird guano accumulated on islands and headlands of Perú
  • Ángela Sifuentes-García
    ,
  • Carlos B. Zavalaga(corresponding author)
    ,
  • Sebastián Lozano-Sanllehi
*Corresponding author for this work
Research Output:
Contribution to journal
Article
Peer-review

Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 472-483 (12 pages)

Journal (Volume, Issue Number)

Ecologia Austral (Volume 30, Issue 3)

Publication milestones

  • Published - 12/2020

Publication status

Published - 12/2020

ISSN

0327-5477

Publication IDs

  • Scopus: 85098118093

Abstract

The ‘guano of the islands’ in Perú is the excrement of cormorants, boobies and pelicans (guano birds), accumulated in large deposits on islands and headlands. This guano is harvested and marketed by the governmental agency AGRORURAL to meet the demands of local organic agriculture. As part of its management and commercialization plans, AGRORURAL estimates the total quantity of guano built-up on the seabird colonies using a volumetric method. The objective of this research was to propose an alternative geostatistical method that uses the volumetric data collection as baseline but incorporates the slope of the terrain and makes estimations of the total amount and distribution of guano using an interpolation grid model in a Geographic Information System (GIS). The data of the slope of the terrain, depth of guano layer, guano density and proportion guano/rock of georeferenced sampling points (taken with a hand-held GPS) on the island/headland surface were used to interpolate the quantity of guano over the entire surface using a raster kriging model, so that each cell contained an estimated quantity of guano. For this study, six guano bird colonies were visited between June 2014 and February 2018. Based on the geostatistical method, the total quantity of guano estimated varied between 10921 t on Isla Mazorca and 26142 t on Isla Guañape Sur. The GIS grid maps showed that the quantity of guano deposits was not uniformly distributed over the island/headland surface. When the guano total quantity estimates based on the geostatistical method were validated with the amount of guano harvested, the estimation error was less than 18%. This error may decrease with the use of a submetric GPS, ground-penetrating radars and augers. An accurate method of guano volume quantification is crucial for budget, logistic and marketing planning of the guano islands and headlands of Perú.

Funding Details

A���������������. This study was carried out through the FONDECYT 2015- 152 Project “Implementación de Nuevas Técnicas para el Monitoreo ?iológico de las Aves Guaneras en el Perú”, funded by the Fondo Nacional de Desarrollo Científico y Tecnológico (FONDECYT) and co-funded by Universidad Científica del Sur, Lima-Perú. The authors gratefully acknowledge AGRORURAL and SERNANP for the permits granted for the realization of this study within the protected natural area RNSIIPG. Many thanks to J. Figueroa and M. Roca for their time in answering several questions., and to C. ?urga, R. Quispe, C. Cepeda, C. Irigoin and M. Gonzales for their willingness to help. To P. Medina and R. Moreno for helping in the field work at Punta San Juan, and to M. Cardeña and the members of the Punta San Juan Program -Center for Environmental Sustainability -Universidad Peruana Cayetano Heredia (UPCH), for the kindness and hospitality. To V. Ropón, I. ?albín, J. Ramírez, L. Valdivia, C. Flores, M. García, D. Acosta, D. Gonzales and D. Ardiles for their help with total commitment in the field work at Isla Asia. To V. Adrianzén, M. Díaz and M. Quispe for their support in the field work at Punta Coles. To V. Chávez and M. Llica for their hospitality and help in the field work at Isla Mazorca. Finally, a special thanks to C. Símbala for the design of the flowchart and other figures. This study was carried out through the FONDECYT 2015-152 Project “Implementación de Nuevas Técnicas para el Monitoreo Biológico de las Aves Guaneras en el Perú”, funded by the Fondo Nacional de Desarrollo Científico y Tecnológico (FONDECYT) and co-funded by Universidad Científica del Sur, Lima-Perú. The authors gratefully acknowledge AGRORURAL and SERNANP for the permits granted for the realization of this study within the protected natural area RNSIIPG. Many thanks to J. Figueroa and M. Roca for their time in answering several questions., and to C. Burga, R. Quispe, C. Cepeda, C. Irigoin and M. Gonzales for their willingness to help. To P. Medina and R. Moreno for helping in the field work at Punta San Juan, and to M. Cardeña and the members of the Punta San Juan Program - Center for Environmental Sustainability - Universidad Peruana Cayetano Heredia (UPCH), for the kindness and hospitality. To V. Ropón, I. Balbín, J. Ramírez, L. Valdivia, C. Flores, M. García, D. Acosta, D. Gonzales and D. Ardiles for their help with total commitment in the field work at Isla Asia. To V. Adrianzén, M. Díaz and M. Quispe for their support in the field work at Punta Coles. To V. Chávez and M. Llica for their hospitality and help in the field work at Isla Mazorca. Finally, a special thanks to C. Símbala for the design of the flowchart and other figures
FundersFunding numbers
AGRORURAL
-
SERNANP
-Universidad Científica del Sur-
UPCH
-
FONDECYT
-

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Sustainable Development Goals

  • SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  • SDG 14 - Life Below Water
    SDG 14 Life Below Water