Thematic and spatial resolutions affect model-based predictions of tree species distribution.
Subjective decisions of thematic and spatial resolutions in characterizing environmental heterogeneity may affect the characterizations of spatial pattern and the simulation of occurrence and rate of ecological processes, and in turn, model-based tree species distribution. Thus, this study quantifie...
Guardado en:
Autores principales: | , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2013
|
Materias: | |
Acceso en línea: | https://doaj.org/article/27af10ec21eb4deaa7780a05933d5deb |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:27af10ec21eb4deaa7780a05933d5deb |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:27af10ec21eb4deaa7780a05933d5deb2021-11-18T07:38:34ZThematic and spatial resolutions affect model-based predictions of tree species distribution.1932-620310.1371/journal.pone.0067889https://doaj.org/article/27af10ec21eb4deaa7780a05933d5deb2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23861828/?tool=EBIhttps://doaj.org/toc/1932-6203Subjective decisions of thematic and spatial resolutions in characterizing environmental heterogeneity may affect the characterizations of spatial pattern and the simulation of occurrence and rate of ecological processes, and in turn, model-based tree species distribution. Thus, this study quantified the importance of thematic and spatial resolutions, and their interaction in predictions of tree species distribution (quantified by species abundance). We investigated how model-predicted species abundances changed and whether tree species with different ecological traits (e.g., seed dispersal distance, competitive capacity) had different responses to varying thematic and spatial resolutions. We used the LANDIS forest landscape model to predict tree species distribution at the landscape scale and designed a series of scenarios with different thematic (different numbers of land types) and spatial resolutions combinations, and then statistically examined the differences of species abundance among these scenarios. Results showed that both thematic and spatial resolutions affected model-based predictions of species distribution, but thematic resolution had a greater effect. Species ecological traits affected the predictions. For species with moderate dispersal distance and relatively abundant seed sources, predicted abundance increased as thematic resolution increased. However, for species with long seeding distance or high shade tolerance, thematic resolution had an inverse effect on predicted abundance. When seed sources and dispersal distance were not limiting, the predicted species abundance increased with spatial resolution and vice versa. Results from this study may provide insights into the choice of thematic and spatial resolutions for model-based predictions of tree species distribution.Yu LiangHong S HeJacob S FraserZhiWei WuPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 7, p e67889 (2013) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Medicine R Science Q |
spellingShingle |
Medicine R Science Q Yu Liang Hong S He Jacob S Fraser ZhiWei Wu Thematic and spatial resolutions affect model-based predictions of tree species distribution. |
description |
Subjective decisions of thematic and spatial resolutions in characterizing environmental heterogeneity may affect the characterizations of spatial pattern and the simulation of occurrence and rate of ecological processes, and in turn, model-based tree species distribution. Thus, this study quantified the importance of thematic and spatial resolutions, and their interaction in predictions of tree species distribution (quantified by species abundance). We investigated how model-predicted species abundances changed and whether tree species with different ecological traits (e.g., seed dispersal distance, competitive capacity) had different responses to varying thematic and spatial resolutions. We used the LANDIS forest landscape model to predict tree species distribution at the landscape scale and designed a series of scenarios with different thematic (different numbers of land types) and spatial resolutions combinations, and then statistically examined the differences of species abundance among these scenarios. Results showed that both thematic and spatial resolutions affected model-based predictions of species distribution, but thematic resolution had a greater effect. Species ecological traits affected the predictions. For species with moderate dispersal distance and relatively abundant seed sources, predicted abundance increased as thematic resolution increased. However, for species with long seeding distance or high shade tolerance, thematic resolution had an inverse effect on predicted abundance. When seed sources and dispersal distance were not limiting, the predicted species abundance increased with spatial resolution and vice versa. Results from this study may provide insights into the choice of thematic and spatial resolutions for model-based predictions of tree species distribution. |
format |
article |
author |
Yu Liang Hong S He Jacob S Fraser ZhiWei Wu |
author_facet |
Yu Liang Hong S He Jacob S Fraser ZhiWei Wu |
author_sort |
Yu Liang |
title |
Thematic and spatial resolutions affect model-based predictions of tree species distribution. |
title_short |
Thematic and spatial resolutions affect model-based predictions of tree species distribution. |
title_full |
Thematic and spatial resolutions affect model-based predictions of tree species distribution. |
title_fullStr |
Thematic and spatial resolutions affect model-based predictions of tree species distribution. |
title_full_unstemmed |
Thematic and spatial resolutions affect model-based predictions of tree species distribution. |
title_sort |
thematic and spatial resolutions affect model-based predictions of tree species distribution. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2013 |
url |
https://doaj.org/article/27af10ec21eb4deaa7780a05933d5deb |
work_keys_str_mv |
AT yuliang thematicandspatialresolutionsaffectmodelbasedpredictionsoftreespeciesdistribution AT hongshe thematicandspatialresolutionsaffectmodelbasedpredictionsoftreespeciesdistribution AT jacobsfraser thematicandspatialresolutionsaffectmodelbasedpredictionsoftreespeciesdistribution AT zhiweiwu thematicandspatialresolutionsaffectmodelbasedpredictionsoftreespeciesdistribution |
_version_ |
1718423149325844480 |