Sergio de‐Miguel

Forest Science and Technology Centre of Catalonia

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José Antonio Bonet

Universitat de Lleida

Juán Martínez de Aragón

Forest Science and Technology Centre of Catalonia

Adrián Cardíl

Universitat de Lleida

G.J. Nabuurs

Wageningen University & Research

Timo Pukkala

University of Eastern Finland

Jingjing Liang

Purdue University West Lafayette

Nicolas Picard

Food and Agriculture Organization of the United Nations

Bruno Hérault

Forests and Societies

Alain Paquette

Université du Québec à Montréal

Pedro H. S. Brancalion

Universidade de São Paulo

Cooperative Institutions

Université du Québec à Montréal

100

Natural Sciences and Engineering Research Council

Universitat de Lleida

Centre National de la Recherche Scientifique

Forest Science and Technology Centre of Catalonia

Universidade de São Paulo

Consejo Nacional de Investigaciones Científicas y Técnicas

Centre de Coopération Internationale en Recherche Agronomique pour le Développement

Wageningen University & Research

John Wiley & Sons (United States)

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Predicting the timing of ecological phenomena across regions using citizen science data

bioRxiv (Cold Spring Harbor Laboratory) (2023)

César Capinha Ana Ceia‐Hasse Sergio de‐Miguel Carlos Vila-Viçosa Miguel Porto

Abstract Spatial predictions of intra-annual ecological variation enhance ecological understanding and inform decision-making. Unfortunately, it is often challenging to use statistical or machine learning techniques to make such predictions, due to the scarcity of systematic, long-term observational data. Conversely, opportunistic time-stamped observation records, supported by highly informative data such as photographs, are increasingly available for diverse ecological phenomena in many regions. However, a general framework for predicting such phenomena using opportunistic data remains elusive. Here, we introduce a novel framework that leverages the concept of relative phenological niche to model observation records as a sample of temporal environmental conditions in which the represented ecological phenomenon occurs. We demonstrate its application using two distinct, management-relevant, ecological events: the emergence of the adult stage of the invasive Japanese beetle ( Popillia japonica ), and of fruiting bodies of the winter chanterelle mushroom ( Craterellus tubaeformis ). The framework accounts for spatial and temporal biases in observation data, and it contrasts the temporal environmental conditions (e.g., in temperature, precipitation, wind speed, etc.) associated with the observation of these events to those available in their occurrence locations. To discriminate between the two sets of conditions, we employ machine-learning algorithms (boosted regression trees and random forests). The proposed approach can accurately predict the temporal dynamics of ecological events across large geographical scales. Specifically, it successfully predicted the intra-annual timing of occurrence of adult Japanese beetles and of winter chanterelle mushrooms across Europe and North America. We further validate the approach by successfully predicting the timing of occurrence of adult Japanese beetles in Northern Italy, a recent hotspot of invasion in continental Europe, and the winter chanterelle mushroom in Denmark, a country with a high number of records of this mushroom. These results were also largely insensitive to temporal bias in recording effort. Our results highlight the potential of opportunistic observation data to predict the temporal variation of a wide range of ecological phenomena in near real-time. Furthermore, the conceptual and methodological framework is intuitive and easily applicable for the large number of ecologists already using machine-learning and statistical-based predictive approaches.

Temporal scales

10.1101/2023.05.05.539567

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Citations (2)

Designing a network of green infrastructure to enhance the conservation value of protected areas and maintain ecosystem services

The Science of The Total Environment (2018)

Mónica Lanzas Virgilio Hermoso Sergio de‐Miguel Gérard Bota Lluı́s Brotons

Provisioning

Green infrastructure

Spatial design

Sustainable Management

10.1016/j.scitotenv.2018.09.164

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Citations (90)

A growth and yield model for even-aged Pinus brutia Ten. stands in Syria

Annals of Forest Science (2011)

Zuheir Shater Sergio de‐Miguel Bassel Kraid Timo Pukkala Marc Palahí

Pinus brutia

Subspecies

Site index

10.1007/s13595-011-0016-z

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Citations (32)

Synthesis of PtSn nanoparticles on carbon materials by different preparation methods for selective catalytic hydrogenation of citral

Chemical Engineering Communications (2019)

Julieta P. Stassi Jonathan Méndez Irene M.J. Vilella Sergio de‐Miguel Patricia D. Zgolicz

In this work, PtSn bimetallic catalysts supported on three different carbons were prepared by two methods: a) conventional impregnation followed by a reduction treatment under H2-flow (CI) and b) deposition-reduction in liquid phase (RLP). All the catalysts were tested in the selective hydrogenation of citral to the unsaturated alcohols (UA). A strong influence of the preparation method and the support was found over the selectivity to UA. For CI prepared catalysts, low Sn loadings give a metallic phase with highly ordered PtSn alloys, while for RLP catalysts, high Sn loadings give highly ordered phases with Sn ionic species intercalated in the Pt metallic phase. Both ordered phases are highly effective to promote the hydrogenation of carbonyl group. For the RLP method, high Sn/Pt molar ratios in solution leads to the formation of PtSn complexes with a good interaction between metals.

Bimetallic strip

Citral

Molar ratio

Carbon fibers

10.1080/00986445.2019.1641089

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Citations (7)

Dynamic treatment units: flexible and adaptative forest management planning by combining spatial optimization methods and LiDAR

Sergio de‐Miguel Timo Pukkala Javier Pasalodos Tato

Spatial Planning

Source

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Mangrove Forest Regeneration Age Map and Drivers of Restoration Success in Gulf Cooperation Council Countries from Satellite Imagery

Midhun Mohan Abhilash Dutta Roy Jorge F. Montenegro Michael S. Watt John A. Burt

Natural regeneration

10.2139/ssrn.4833329

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Citations (1)

Deposition of Pt nanoparticles on different carbonaceous materials by using different preparation methods for PEMFC electrocatalysts

International Journal of Hydrogen Energy (2012)

Natalia S. Veizaga José L. Fernández Mariano M. Bruno Osvaldo A. Scelza Sergio de‐Miguel

Carbon fibers

Deposition

10.1016/j.ijhydene.2012.08.144

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Citations (28)

Author Correction: Climatic controls of decomposition drive the global biogeography of forest-tree symbioses

Nature (2019)

Brian S. Steidinger Thomas W. Crowther Jianchao Liang M. E. Van Nuland Gijsbert D. A. Werner

Tree (set theory)

10.1038/s41586-019-1342-9

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Citations (2)

Evaluating marginal and conditional predictions of taper models in the absence of calibration data

Canadian Journal of Forest Research (2012)

Sergio de‐Miguel Lauri Mehtätalo Zuheir Shater Bassel Kraid Timo Pukkala

A systematic evaluation of nonlinear fixed- and mixed-effects taper models in volume prediction was conducted. Among 33 taper equations, the best 1- to 10-parameter fixed-effects models according to fitting statistics were further analysed by comparing their predictions against the modelling data and an independent data set. Three alternative prediction strategies were compared using the best equation (Kozak II) in the absence of calibration data (the usual situation in forestry practice). Strategy 1 used a fixed-parameter model (marginal model), strategy 2 utilized the fixed part of a mixed-effects model (conditional model), and strategy 3 calculated a marginal prediction based on the mixed-effects model by averaging the predictions over the estimated distribution of random effects. Strategies 1 and 3 performed better than strategy 2 in model evaluation (in modelling data) and model validation (independent data). Strategy 3 was less biased than strategy 1 in model validation, and both had the same mean squared deviation. Strategy 3 shares the most advantageous features of the other prediction methods and is therefore recommended for forestry practice and for further research in different modelling disciplines within forest science.

Data set

Marginal model

10.1139/x2012-090

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Citations (89)

Impact of Robinia pseudoacacia stand conversion on soil bacterial communities composition and soil properties in Mount Tai, China

Research Square (Research Square) (2020)

Kun Li Xu Han Ruiqiang Ni Ge Shi Sergio de‐Miguel

Abstract Background: Robinia pseudoacacia is a widely planted pioneer tree species in reforestations on barren mountains in northern China. Because of its nitrogen-fixing ability, it can play a positive role in soil and forest restoration. After clear-cutting of planted stands, R. pseudoacacia stands become coppice plantations. The impacts of shifting from seedling to coppice plantations on soil bacterial community and soil properties have not been well described. This study aims to quantify how soil properties and bacterial community composition vary between planted seedling versus coppice stands. Methods : Three 20×20 m plots were randomly selected in each seedling and coppice stand. The bulk soil and rhizosphere soil were sampled in the nine above-mentioned sample plots in the summer of 2017. Bulk soil was sampled at 10 cm from the soil surface using a soil auger. Rhizosphere soil samples were collected by brush. The soil samples were transported to the laboratory for chemical analysis and bacterial community composition and diversity was obtanied through DNA extraction, 16S rRNA gene amplification and high throughput sequencing. Results : The results showed that, compared to seedling plantations, soil quality decreased significantly in coppice stands, but without affecting soil exchangeable Mg 2+ and K + . Total carbon (C) and nitrogen (N) were lower in the rhizosphere than in bulk soil, whereas nutrient availability showed an opposite trend. The conversion from seedling to coppice plantations was also related to significant differences in soil bacterial community structure and to the reduction of soil bacterial α-diversity. Principal component analysis (PCA) showed that, bacterial community composition was similar in both bulk and rhizosphere soils in second generation coppice plantations. Specially, the conversion from seedling to coppice increased the relative abundance of Proteobacteria and Rhizobium , but reduced that of Actinobacteria , which may result in a decline of soil nutrient availability. Mantel tests revealed that C, N, Soil organic matter (SOM), nitrate nitrogen (NO 3 - -N) and available phosphorus positively correlated with bacterial community composition, while a variation partition analysis (VPA) showed that NO 3 - -N explained a relatively greater proportion of bacterial distribution (15.12%), compared with C and SOM. Surprinsingly, N showed no relationship with bacterial community composition, which may be related to nitrogen transportation. Conclusions : The conversion from seedling to coppice stands reduced soil quality and led to spatial-temporal homogenization of the soil bacterial community structure in both the rhizosphere and bulk soils. Such imbalance in microbial structure can accelerate the decline of R. pseudoacacia . This may affect the role of R. pseudoacacia coppice stands in soil and forest restoration of barren lands in mountain areas.

Robinia

Bulk soil

Soil test

Soil Quality

Soil carbon

10.21203/rs.3.rs-42034/v2

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Citations (0)