Call for a Postdoc Position on Modelling the Impacts of Landscape Features on Forest Microclimates

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Main objective

The EDYSAN lab seeks a postdoctoral candidate for a 24 months period to assess and model the influence of landscape features on air temperature beneath tree canopies. Landscape features not only involve distance to forest edges within landscapes where forest fragmentation is highly pronounced but also distance to water bodies in the context of riparian habitats such as river canyons and the associated effect of topographic convergence. Potential interaction effects between distance to forest edges and distance to water bodies, in the context of riparian corridors of varying width as well as isolated riparian woodlands of varying sizes, will be investigated too.

Some background

This call for a 2-yr postdoc position is funded by the French National Research Agency, the Agence nationale de la recherche (ANR), within the framework of the research project entitled “Impact of forest Management and Climate Change on understory Microclimate” (MaCCMic). In short, the chief objective of MaCCMic is to develop observation-based tools to identify the main factors influencing forest understory microclimate, as well as biophysical and ecological models to anticipate the impact of forest management (density, fragmentation, thinning, choice of species, understory removal, etc.) on forest microclimate and understory vegetation, notably in terms of climate extremes (drought, heat wave, late frost, flooding, etc.) under future climate change scenarios. The MaCCMic project is coordinated by Jérôme Ogée (ISPA, INRAE) and involves a large consortium of French scientists from Amiens, Bordeaux, Montpellier and Toulouse.

Within the MaCCMic research consortium, the EDYSAN lab, who will host the successful candidate, is involved in Work Package 2 (WP2) entitled “Impact of landscape features on understory microclimate”. Through past and ongoing projects, the EDYSAN team has already gathered a large amount of temperature time series recorded within the understory of several French forests (see Fig. 1), covering all forest stand succession stages, from young plantations to mature forests, to investigate the influence of stand structure and forest canopy dynamics on microclimate dynamics underneath tree canopies (De Frenne et al. 2021). Similarly, through close collaborations with a research group led by Pieter De Frenne, from Ghent University in Belgium, the EDYSAN team has also accumulated a lot of data and knowledge on the influence of forest edges on woodland understory microclimates (Meussen et al. 2021). However, air temperature at the interface between forests and water bodies, such as along riparian forests, remains poorly studied in comparison with existing research on the influence of canopy structure and forest edges on air temperature beneath tree canopies. If the cooling influence of riparian forests on water temperatures is a well known fact used in forest management and conservation biology (Moore et al. 2005; Wilkerson et al. 2006), the cooling effect of distance to water bodies on air temperature beneath tree canopies has been less investigated.

Figure 1: Map showing the spatial distribution of temperature time series recorded by microclimate sensors across metropolitan France. Numbers on the map give the total number of independent time series per department. Map generated by Fabien Spicher based on data accumulated by the EDYSAN lab.

Main tasks

To achieve the main objective of this call, the successful candidate will benefit from existing time series of air temperature beneath tree canopies collected by the EDYSAN team across varying landscape contexts (urban, rural and managed forests) (see Fig. 1) as well as from other members of the MaCCMic consortium with whom the successful candidate will closely interact throughout the postdoc duration (Jérôme Chave, Sylvain Delzon, Jérôme Ogée, Frédéric Revers), including data from riparian habitats in the Ciron valley near Bordeaux (cf. Frédéric Revers). The successful candidate will also benefit from potential collaborations with research groups from outside the MaCCMic consortium to collect more data on air temperature beneath tree canopies and possibly close to water bodies. Potential researchers to contact and who are already interacting with the EDYSAN team are Juha Aalto, Romain Bertrand, Pieter De Frenne, Caroline Greiser, Kristoffer Hylander, Jonas Lembrechts, Rob Lewis, Eric Meineri, Sylvain Pincebourde, Pep Serra-Diaz and Koenraad Van Meerbeek.

The main tasks that are expected from the successful candidate are:

  • Building a French database on air T°C beneath tree canopies;
  • Installing microclimate sensors witin riparian habitats in northern France;
  • Analysing the effects of distance to forest edges and water bodies on air T°C;
  • Writing a scientific article to be published in an international journal.

Expected qualifications

A Ph.D. degree in ecology, forest sciences, vegetation sciences or any related fields. In general, the candidate we are seeking is expected to have the following skills and qualifications:

  • Basic knowledge in microclimate ecology;
  • Good programming skills, especially in using R;
  • Cutting-edge expertise in modeling and statistical analyses;
  • Proven abilities to publish at a high international level;
  • Good oral and written communication skills in English;
  • Rigor, curiosity, autonomy, abilities to work in group.

NB: Potential interactions and collaborations with other postdocs and PhD students working on forest microclimates or related fields within the EDYSAN team as well as within the MaCCMic consortium will be highly welcome and enhanced.

Where

At the UMR CNRS 7058 « Ecologie et Dynamique des Systèmes Anthropisés » (EDYSAN), UFR de Pharmacie, 1 rue des Louvels, 80039 AMIENS Cedex 1, France.

Duration and starting period

The postdoctoral position will last 24 months and should start during fall 2023, preferably in the beginning of October 2023 or later in 2023, but no later than January 8th 2024.

Gross salary

The total salary for the postdoc position throughout the 2 years is 88 800 EUR, which represents a gross salary of about 2 600 EUR per month. There is also some project money that can be used by the successful candidate for buying materials such as microclimate sensors as well as for paying travel expenses during field work missions or participation to meetings and conferences.

Others

A driving licence is necessary in case the successful candidate would like to set up new study sites or collect new microclimate data from existing study sites located within the Hauts-de-France region or elsewhere in France.

Application instructions

Please send your CV, including a list of recent publications, together with a cover letter and the contact information of 2 references to Jonathan Lenoir (jonathan.lenoir@u-picardie.fr).

Call for a Postdoc Position in Remote Sensing Applications for Forest Microclimates

Main objective

The EDYSAN lab seeks a postdoctoral candidate for a 13 months period to assess the potential of terrestrial LiDAR to model forest microclimates. The successful candidate is expected to link microclimate data readily available by the lab to stand structure variables derived from terrestrial laser scanning (TLS). Focusing on a subset of sites monitored by the lab, the successful candidate will collect TLS data with a TRIMBLE X7 recently funded by the CPER ECRIN. Several variables will be derived from the 3D LiDAR point cloud, using a voxelization technique, and subsequently used as predictors to model the temporal dynamic of forest microclimates. Several scans throughout the year will be considered to capture the seasonality in the leaf-on and leaf-off periods.

Some background

The position is part of a regional state plan contract under the framework of a large project entitled “Environment, Climate, Research and Innovation” (ECRIN) which aims at identifying and understanding climate change impacts on the atmosphere, human health and ecosystem services to support mitigation and adaptation strategies. The project also aims at supporting the development of innovative measurement methodologies, novel instrumentation to monitor the environment and new advances in analytical approaches. This project involves 29 institutional partners and 25 research laboratories within the Hauts-de-France region.

The EDYSAN lab, who will host the successful candidate, is involved in work package 2 (WP2) entitled “Impacts of climate change on natural, agricultural and suburban systems”. Within the framework of WP2, EDYSAN aims at studying how climate change is impacting the spatial distribution of forest biodiversity and its associated ecosystem services.

Biodiversity redistribution in response to climate change has direct impacts on ecosystem functioning and human well-being throughout the ecosystem services that biodiversity provides. The forest understory is one of the most biodiversity rich compartment in temperate ecosystems worldwide and it harbours a wealth of ecosystem services, such as natural pest control for neighbouring agricultural fields. However, the current tools that are used to predict species distribution and redistribution as climate changes are too coarse in spatial resolution to capture microclimatic processes in the understory and thus unsuitable for forest-dwelling species living under the shade of trees. Not only those models are too coarse in spatial resolution but they are all relying on macroclimatic conditions as measured by standardised weather stations and thus unlikely to capture temperature fluctuations as experienced by forest-dwelling species within their buffered habitats.

In this context, the EDYSAN lab aims at better characterizing and modelling forest microclimates to improve predictions from species distribution models. A recent synthesis published by the lab members in 2022 in Journal of Ecology features how LiDAR technologies, either airborne or terrestrial, can help researchers unveil biodiversity changes through time as well as forest microclimates. An ongoing project funded by the « Agence nationale de la recherche » (ANR, IMPRINT), starting on October 1st 2019 and ending on March 31st 2024, is using this technology to model forest microclimates. This project has already gathered microclimatic data across several sites in several state forests in France (Aigoual, Blois, Compiègne et Mormal), where airborne LiDAR data are readily available, as well as across several permanent forest plots belonging to the « Réseau national de suivi à long terme des écosystèmes forestiers » (RENECOFOR) managed by the « Office national des forêts » (ONF). An equivalent network of permanent forest plots within the Hauts-de-France region is the « Observatoire régional des écosystèmes forestiers » (OREF), managed by the « Centre national de la propriété forestière » (CNPF). Since 2020, 19 permanent forest plots belonging to OREF have been equipped with temperature data loggers (HOBO). Data on forest stand structure and understory plant species composition are also available for all plots.

Main tasks

The main tasks that are expected from the successful candidate are:

  • Acquiring, handling and processing terrestrial LiDAR data from the field;
  • Extracting LiDAR-derived variables (e.g., PAD) using voxel-based approaches;
  • Using LiDAR-derived variables as predictors to model understory temperatures;
  • Writing a scientific article on the benefit of TLS to model forest microclimates.

Expected qualifications

A Ph.D. in remote sensing science, forest sciences or ecoinformatics would be welcome but in general, the candidate we are seeking is expected to have the following skills and qualifications:

  • Remote sensing and experience in using and processing terrestrial LiDAR data;
  • Programming skills, especially in using R and packages such as forestr and lidR;
  • Cutting-edge expertise in modeling and advanced statistical analyses;
  • Basic knowledge in forest ecology and microclimate ecology;
  • Proven abilities to publish at a high international level;
  • Good oral and written communication skills in English;
  • Rigor, curiosity, autonomy, abilities to work in group.

Where

At the UMR CNRS 7058 « Ecologie et Dynamique des Systèmes Anthropisés » (EDYSAN), UFR de Pharmacie, 1 rue des Louvels, 80039 AMIENS Cedex 1, France.

Duration and starting period

The postdoctoral position is for 13 months, with a possibility for a one year extension depending on funding opportunities. The position should start in the beginning of spring 2023 and at the latest on September 2023.

Gross salary

To be discussed depending on the experience of the successful candidate.

Others

A driving licence is required to travel to the study sites located within the Hauts-de-France region.

Application instructions

Please send your CV, including a list of recent publications, together with a cover letter and the contact information of 2 references to Jonathan Lenoir (jonathan.lenoir@u-picardie.fr) and the human resources at UPJV (recrutement@u-picardie.fr). The submission deadline is April 30th 2023.