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

Quinta-Nova, L.C.; Roque, Natália; Navalho, Isabel; Alegria, Cristina; Albuquerque, Teresa

doi:10.1007/978-3-030-12998-9_5

Cited by 1 publication

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“…The maps of the input variables are reclassified by the Boolean method (0-Not suitable, 1-Suitable). The species ecological envelopes maps are obtained by map algebra, by summing the species variable maps produced earlier, resulting in five suitability classes classification as follows: (5) Excellent, (4) Good, (3) Regular, (2) Marginal, and (1) Unsuitable [25]. In this study, the above-referenced methodology was used to produce the species ecological envelopes by using both the present climate data for 1960-1990 (Table 3 and Figure 3) and 1970-2000.…”

Section: Species Ecological Envelopes Mapsmentioning

confidence: 99%

“…However, different methodological approaches were used for each one of these regions to map forest species' productive potential (e.g., using ecological-cultural characteristics and/or edaphic-climatic characteristics, or bioclimatic indices or productivity estimation), thus no methodological consistency exists considering all the country. The species' potential area mapping has also been essayed in several other studies [23][24][25]. However, none of these methods have been validated and/or their accuracy evaluated.…”

Section: Introductionmentioning

confidence: 99%

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Species Ecological Envelopes under Climate Change Scenarios: A Case Study for the Main Two Wood-Production Forest Species in Portugal

Alegria

Roque

Albuquerque

et al. 2020

Forests

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Species ecological envelope maps were obtained for the two main Portuguese wood-production species (Eucalyptus globulus Labill. and Pinus pinaster Aiton) and projected future climate change scenarios. A machine learning approach was used to understand the most influential environmental variables that may explain current species distribution and productivity. Background and Objectives: The aims of the study were: (1) to map species potential suitability areas using ecological envelopes in the present and to project them in the future under climate change scenarios; (2) to map species current distributions; (3) to map species current productivity; and (4) to explore the most influential environmental variables on species current distribution and productivity. Materials and Methods: Climate, elevation data, and soil data sets were used to obtain present and future species ecological envelopes under two climate change scenarios. The official land cover maps were used to map species distributions. Forest inventory data were used to map the species productivity by geostatistical techniques. A Bayesian machine learning approach, supported by species distributions and productivity data, was used to explore the most influential environmental variables on species distribution and productivity and to validate species ecological envelopes. Results: The species ecological envelope methodology was found to be robust. Species’ ecological envelopes showed a high potential for both species’ afforestation. In the future, a decrease in the country’s area potentiality was forecasted for both species. The distribution of maritime pine was found to be mainly determined by precipitation-related variables, but the elevation and temperature-related variables were very important to differentiate species productivity. For eucalypts, species distribution was mainly explained by temperature-related variables, as well as the species productivity. Conclusions: These findings are key to support recommendations for future afforestation and will bring value to policy-makers and environmental authorities in policy formulation under climate change scenarios.

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Section: Species Ecological Envelopes Mapsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%