A multi‐data ensemble approach for predicting woodland type distribution: Oak woodland in Britain-Reference-Cited by-同舟云学术

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A multi‐data ensemble approach for predicting woodland type distribution: Oak woodland in Britain

Published:2021-06-21 Issue:14 Volume:11 Page:9423-9434
ISSN:2045-7758
Container-title:Ecology and Evolution
language:en
Short-container-title:Ecol Evol

Author:

Ray Duncan¹^ORCID,Marchi Maurizio²^ORCID,Rattey Andrew¹,Broome Alice¹

Affiliation:

1. Centre for Ecosystems Society and Biosecurity Forest Research Roslin UK

2. Institute of Biosciences and BioResources (IBBR) CNR, Florence Division Sesto Fiorentino (Firenze) Italy

Publisher

Wiley

Subject

Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ece3.7752

Reference69 articles.

1. Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS)

2. Ensemble forecasting of species distributions

3. Selecting pseudo-absences for species distribution models: how, where and how many?

4. Species distribution modelling tools and databases to assist managing forests under climate change

5. Predicting current and future disease outbreaks of Diplodia sapinea shoot blight in Italy: species distribution models as a tool for forest management planning

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1. The interaction between temperature and precipitation on the potential distribution range of Betula ermanii in the alpine treeline ecotone on the Changbai Mountain;Forest Ecosystems;2024

2. Biomod2 modeling for predicting the potential ecological distribution of three Fritillaria species under climate change;Scientific Reports;2023-11-01

3. Combining genetic and environmental data to map and model regions of provenance for silver fir (Abies alba Mill.) in Italy;New Forests;2023-09-13

4. Predicting current and future species distribution of the raccoon dog (Nyctereutes procyonoides) in Shanghai, China;Landscape and Urban Planning;2022-12

5. Predicting future distributions and dispersal pathways for precautionary management of human-raccoon dog conflicts in metropolitan landscapes;Environmental Research Letters;2022-10-01

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