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DOI: 10.1371/journal.pone.0114648
Title:
Quantifying Environmental Limiting Factors on Tree Cover Using Geospatial Data
Author: Jonathan A. Greenberg; Maria J. Santos; Solomon Z. Dobrowski; Vern C. Vanderbilt; Susan L. Ustin
Source Publication: PLOS ONE
ISSN: 1932-6203
Publishing Year: 2015
Date Published: 2015-2-18
Volume: 10, Issue:2
Language: 英语
Keyword: Trees ; Forests ; Dendrology ; Lakes ; Temperature analysis ; Theoretical ecology ; Ecosystems ; Soil ecology
English Abstract: Environmental limiting factors (ELFs) are the thresholds that determine the maximum or minimum biological response for a given suite of environmental conditions. We asked the following questions: 1) Can we detect ELFs on percent tree cover across the eastern slopes of the Lake Tahoe Basin, NV? 2) How are the ELFs distributed spatially? 3) To what extent are unmeasured environmental factors limiting tree cover? ELFs are difficult to quantify as they require significant sample sizes. We addressed this by using geospatial data over a relatively large spatial extent, where the wall-to-wall sampling ensures the inclusion of rare data points which define the minimum or maximum response to environmental factors. We tested mean temperature, minimum temperature, potential evapotranspiration (PET) and PET minus precipitation (PET-P) as potential limiting factors on percent tree cover. We found that the study area showed system-wide limitations on tree cover, and each of the factors showed evidence of being limiting on tree cover. However, only 1.2% of the total area appeared to be limited by the four (4) environmental factors, suggesting other unmeasured factors are limiting much of the tree cover in the study area. Where sites were near their theoretical maximum, non-forest sites (tree cover < 25%) were primarily limited by cold mean temperatures, open-canopy forest sites (tree cover between 25% and 60%) were primarily limited by evaporative demand, and closed-canopy forests were not limited by any particular environmental factor. The detection of ELFs is necessary in order to fully understand the width of limitations that species experience within their geographic range.
Related Link: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0114648&type=printable
Citation statistics:
被引频次[WOS]:5   [查看WOS记录]     [查看WOS中相关记录]
Document Type: 期刊论文
Identifier: http://119.78.100.158/handle/2HF3EXSE/22060
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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Affiliation: Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Champaign, Illinois, United States of America;Department of Innovation, Environmental and Energy Sciences, Utrecht University, Utrecht, The Netherlands;Department of Forest Management, College of Forestry and Conservation, University of Montana, Missoula, Montana, United States of America;NASA Ames Research Center, Mountain View, California, United States of America;Center for Spatial Technologies and Remote Sensing (CSTARS), Department of Land, Air and Water Resources, University of California Davis, Davis, California, United States of America

Recommended Citation:
Jonathan A. Greenberg,Maria J. Santos,Solomon Z. Dobrowski,et al. Quantifying Environmental Limiting Factors on Tree Cover Using Geospatial Data[J]. PLOS ONE,2015-01-01,10(2)
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