| Title: |
Disentangling the influence of geographical laws and sampling biais to model distribution of Birch tree from Open-acess Biodiversity Dataset (OBDs) in Swedish Lapland |
| Authors: |
Courault, Romain; Cohen, Marianne; Pottier, Mathilde |
| Contributors: |
UMR 228 Espace-Dev, Espace pour le développement; Institut de Recherche pour le Développement (IRD)-Université de Perpignan Via Domitia (UPVD)-Avignon Université (AU)-Université de La Réunion (UR)-Université de Montpellier (UM)-Université de Guyane (UG)-Université des Antilles (UA); Institut de Recherche pour le Développement (IRD); MÉDIATIONS - Sciences des lieux, sciences des liens; Sorbonne Université (SU); Université de Poitiers – Faculté de Sciences fondamentales et appliquées (UFR SFA Poitiers ); Université de Poitiers = University of Poitiers (UP); Milieux Environnementaux, Transferts et Interactions dans les hydrosystèmes et les Sols (METIS); École Pratique des Hautes Études (EPHE); Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) |
| Source: |
https://ird.hal.science/ird-02973852 ; 2020. |
| Publisher Information: |
CCSD |
| Publication Year: |
2020 |
| Collection: |
Université de Poitiers: Publications de nos chercheurs.ses (HAL) |
| Subject Terms: |
Biogeography; Geographical Laws in Spatial Ecology; Biodiversity Databases and Datasets; GBIF; Birch tree; Swedish Lapland; Habitat Niche Modelling; Climate Change; [SHS.GEO]Humanities and Social Sciences/Geography; [SDE.BE]Environmental Sciences/Biodiversity and Ecology; [SDE.ES]Environmental Sciences/Environment and Society; [SDE.MCG]Environmental Sciences/Global Changes; [SDV.EE.BIO]Life Sciences [q-bio]/Ecology; environment/Bioclimatology; [SDV.EE.ECO]Life Sciences [q-bio]/Ecology; environment/Ecosystems |
| Description: |
PREPRINT // SUBMITTED THE 15TH OF OCTOBER 2020 TO ANNALS OF GIS // SPECIAL ISSUE "GENERAL PRINCIPLES/ANALYTICAL FRAMEWORKS IN GEOGRAPHY/GISCIENCE" The current biodiversity crisis, combined with climate change are major issues requesting specific monitoring of plants communities' responses in terms of geographical distribution. Nowadays, large open-access biodiversity datasets (OBDs) such as the Global Biodiversity Information Facility (GBIF) are commonly used to describe, explain and predict fauna and flora geographical distribution. They constitute new opportunities, but stay related to major uncertainties about sampling biases, driven by the concentration of various biodiversity data records and associated data providers. Taking the example of a widely studied tree (Betula pubsescens Ehrh.), in a scientifically well-funded region (Swedish Lapland), we discuss those peculiar issues in the frame of geographical laws (e.g. respectively spatial autocorrelation, heterogeneity and similarity) at macro-and micro-regional scales. After spatial and temporal filtering on georeferenced records and discussion on sampling strategies heterogeneity, tests of spatial autocorrelation (Moran's I index) has been conducted on Birch tree records provided by major institutions, comparatively. Pearson Khi-2 (χ 2) test is thus applied on the generated grid to confront number of Birch tree records with accessibility factors (e.g. artificial land cover, roads, protected natural areas) Thus, a micro-regional analysis is conducted to quantify Birch tree records in vegetation classes where this tree species is supposed to be dominant. At the macro-regional scale, results show the high spatial variability of sub-datasets according to institution providing records from the studied GBIF OBDs (with higher autocorrelation results for large contributors). This spatial variability, and high spatial autocorrelation effects appears to be partly explained at macro-, micro-and local scale by the distribution of human accessibility and facility ... |
| Document Type: |
report |
| Language: |
English |
| Availability: |
https://ird.hal.science/ird-02973852; https://ird.hal.science/ird-02973852v1/document; https://ird.hal.science/ird-02973852v1/file/151020_Courault_Cohen_et_al_AGIS_SI_GPAF.pdf |
| Rights: |
info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.AB43CF20 |
| Database: |
BASE |