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International Conference on Information and Communication Technologies in Agriculture, Food & Environment

HAICTA 2017: Information and Communication Technologies in Modern Agricultural Development pp 64–83Cite as

Using Geostatistics and Multicriteria Spatial Analysis to Map Forest Species Biogeophysical Suitability: A Study Case for the Centro Region of Portugal

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 953))

Abstract

There are various methodologies for defining soil uses to promote sustainable utilization of rural land. Many of these methods rely on decision support systems based on multicriteria spatial analysis. In this study, a two-step spatial approach was performed to produce forest species suitability maps. The objectives of the study were: (1) to produce bioclimatic indices maps using a geostatistical approach based on climate data; (2) to produce biogeophysical suitability maps for the main Portuguese forest species by multicriteria spatial analysis using the analytic hierarchy process (AHP) integrating three factors (terrain slope, soil diagnostic features and bioclimatic indices); and (3) to conduct a comparative analysis of the current forest species area distributions to these species biogeophysical suitability areas. With these objectives, the Centro region of Portugal was used as the study area. Our methodological approach allowed us to assess the biogeophysical suitability of Maritime pine, Eucalyptus, Cork oak and Holm oak in the Centro region of Portugal. The findings in this study emphasize the potential that the Centro region of Portugal has for expanding the spread of native oaks as recommended by the National Strategy for Forests to respond to climate changes, improve landscape biodiversity and mitigate fire hazards. The species biogeophysical suitability maps may be important tools for decision support in landscape planning to define species’ priority afforestation areas. From an instrumental point of view, the use of this methodology may interest stakeholders and others with roles in planning and land management. Further investigation is needed to integrate the impact of climate change in forest species spatial modeling to assist in supporting future national strategies for forests.

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Author information

Authors and Affiliations

  1. Instituto Politécnico de Castelo Branco, Escola Superior Agrária, Quinta da Senhora de Mércules, Apartado 119, 6001-909, Castelo Branco, Portugal

    Luís Quinta-Nova, Natália Roque, Isabel Navalho & Cristina Alegria

  2. CERNAS - Centro de Estudos de Recursos Naturais, Ambiente e Sociedade, Instituto Politécnico de Castelo Branco, Escola Superior Agrária, Castelo Branco, Portugal

    Luís Quinta-Nova & Cristina Alegria

  3. Instituto Politécnico de Castelo Branco, Escola Superior de Tecnologia, Castelo Branco, Portugal

    Teresa Albuquerque

Authors
  1. Luís Quinta-Nova
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  2. Natália Roque
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  3. Isabel Navalho
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  4. Cristina Alegria
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  5. Teresa Albuquerque
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Corresponding author

Correspondence to Luís Quinta-Nova .

Editor information

Editors and Affiliations

  1. TEI of Thessaloniki, Thessaloniki, Greece

    Michail Salampasis

  2. Aristotle University of Thessaloniki, Thessaloniki, Greece

    Thomas Bournaris

Appendices

Appendix 1

figure a
figure b

Appendix 2

Thermotype

Ombrotype

Continentality index

Pb

Ec

Qr

Qr

Lower mesomediterranean

Lower humid

High semi-hyperoceanic

1

2

2

1

Lower mesomediterranean

Lower humid

Moderate semi-hyperoceanic

1

2

2

1

Lower mesomediterranean

Lower humid

Moderate sub-hyperoceanic

1

2

2

2

Lower mesomediterranean

Upper subhumid

Moderate sub-hyperoceanic

1

1

3

2

Lower mesomediterranean

Upper subhumid

High semi-hyperoceanic

2

1

2

1

Lower mesomediterranean

Upper subhumid

High semi-hyperoceanic

2

1

2

1

Lower mesomediterranean

Upper subhumid

Moderate semi-hyperoceanic

2

1

2

1

Lower mesomediterranean

Lower humid

High euoceanic

3

2

2

1

Lower mesomediterranean

Lower subhumid

High euoceanic

3

3

3

3

Lower mesomediterranean

Lower subhumid

Moderate euoceanic

3

3

3

2

Lower mesomediterranean

Lower subhumid

Moderate semi-hyperoceanic

3

2

2

2

Lower mesomediterranean

Upper subhumid

High euoceanic

3

2

2

1

Lower mesomediterranean

Upper subhumid

Moderate euoceanic

3

2

3

2

Upper mesomediterranean

Lower humid

Moderate semi-hyperoceanic

1

2

2

1

Upper mesomediterranean

Lower subhumid

Moderate euoceanic

1

2

3

3

Upper mesomediterranean

Lower humid

High euoceanic

3

2

2

1

Upper mesomediterranean

Lower subhumid

Moderate euoceanic

3

3

3

2

Upper mesomediterranean

Upper subhumid

High euoceanic

3

2

3

3

Upper mesomediterranean

Upper subhumid

Moderate euoceanic

3

3

3

2

Lower supramediterranean

Lower humid

High euoceanic

3

2

2

2

Lower supramediterranean

Upper subhumid

High euoceanic

3

2

2

2

Upper thermomediterranean

Upper subhumid

High sub-hyperoceanic

1

1

1

3

Upper thermomediterranean

Lower subhumid

High euoceanic

2

2

2

2

Upper thermomediterranean

Upper subhumid

High semi-hyperoceanic

2

1

1

3

Upper thermomediterranean

Upper subhumid

Moderate sub-hyperoceanic

2

1

1

3

Upper thermomediterranean

Lower subhumid

High semi-hyperoceanic

3

1

1

3

Upper thermomediterranean

Lower subhumid

Moderate semi-hyperoceanic

3

2

2

2

  1. Legend: Pb – Maritime pine; Ec – Eucalyptus; Qs – Cork oak; Qr – Holm oak.

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Quinta-Nova, L., Roque, N., Navalho, I., Alegria, C., Albuquerque, T. (2019). Using Geostatistics and Multicriteria Spatial Analysis to Map Forest Species Biogeophysical Suitability: A Study Case for the Centro Region of Portugal. In: Salampasis, M., Bournaris, T. (eds) Information and Communication Technologies in Modern Agricultural Development. HAICTA 2017. Communications in Computer and Information Science, vol 953. Springer, Cham. https://doi.org/10.1007/978-3-030-12998-9_5

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