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Remote Sens. 2009, 1(3), 393-407; doi:10.3390/rs1030393
Article

Potential Species Distribution of Balsam Fir Based on the Integration of Biophysical Variables Derived with Remote Sensing and Process-Based Methods

1,*  and 2
Received: 14 July 2009; in revised form: 13 August 2009 / Accepted: 13 August 2009 / Published: 17 August 2009
(This article belongs to the Special Issue Ecological Status and Change by Remote Sensing)
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Abstract: In this paper we present a framework for modelling potential species distribution (PSD) of balsam fir [bF; Abies balsamea (L.) Mill.] as a function of landscape-level descriptions of: (i) growing degree days (GDD: a temperature related index), (ii) land-surface wetness, (iii) incident photosynthetically active radiation (PAR), and (iv) tree habitat suitability. GDD and land-surface wetness are derived primarily from remote sensing data acquired with the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor on the Terra satellite. PAR is calculated with an existing spatial model of solar radiation. Raster-based calculations of habitat suitability and PSD are obtained by multiplying normalized values of species environmental-response functions (one for each environmental variable) parameterized for balsam fir. As a demonstration of the procedure, we apply the calculations to a high bF-content area in northwest New Brunswick, Canada, at 250-m resolution. Location of medium-to-high habitat suitability values (i.e., >0.50) and actual forests, with >50% bF, matched on average 92% of the time.
Keywords: balsam fir; biophysical surfaces; growing degree days; incident photosynthetically active radiation; landscape; MODIS imagery; temperature-vegetation wetness index; tree habitat suitability balsam fir; biophysical surfaces; growing degree days; incident photosynthetically active radiation; landscape; MODIS imagery; temperature-vegetation wetness index; tree habitat suitability
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Hassan, Q.K.; Bourque, C.P.-A. Potential Species Distribution of Balsam Fir Based on the Integration of Biophysical Variables Derived with Remote Sensing and Process-Based Methods. Remote Sens. 2009, 1, 393-407.

AMA Style

Hassan QK, Bourque CP-A. Potential Species Distribution of Balsam Fir Based on the Integration of Biophysical Variables Derived with Remote Sensing and Process-Based Methods. Remote Sensing. 2009; 1(3):393-407.

Chicago/Turabian Style

Hassan, Quazi K.; Bourque, Charles P.-A. 2009. "Potential Species Distribution of Balsam Fir Based on the Integration of Biophysical Variables Derived with Remote Sensing and Process-Based Methods." Remote Sens. 1, no. 3: 393-407.


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