2007
DOI: 10.1016/j.foreco.2007.07.004
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Assessing sustainability indicators for tropical forests: Spatio-temporal heterogeneity, logging intensity, and dung beetle communities

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Cited by 37 publications
(26 citation statements)
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“…Moreover, they are a well-defined taxonomic and functional group, and the sampling methods used can be standardized. Also, they have been extensively used in biodiversity studies (among the most recent studies see Aguilar-Amuchastegui and Henebry 2007;Halffter et al 2007;Nichols et al 2007;Spector 2006;Andresen 2003Andresen , 2005Scheffler 2005;Pineda et al 2005;Avendaño-Mendoza et al 2005;Davis et al 2001Davis et al , 2004Halffter and Arellano 2002;McGeoch et al 2002; for a complete reference, see the list of 33 studies cited in Nichols et al 2007). …”
Section: Introductionmentioning
confidence: 99%
“…Moreover, they are a well-defined taxonomic and functional group, and the sampling methods used can be standardized. Also, they have been extensively used in biodiversity studies (among the most recent studies see Aguilar-Amuchastegui and Henebry 2007;Halffter et al 2007;Nichols et al 2007;Spector 2006;Andresen 2003Andresen , 2005Scheffler 2005;Pineda et al 2005;Avendaño-Mendoza et al 2005;Davis et al 2001Davis et al , 2004Halffter and Arellano 2002;McGeoch et al 2002; for a complete reference, see the list of 33 studies cited in Nichols et al 2007). …”
Section: Introductionmentioning
confidence: 99%
“…The management approach either directly quantifies the intensity of forest management operations in forest stands (Aguilar-Amuchastegui and Henebry 2007;Kueffer and Senn-Irlet 2005;Storaunet et al 2005;Uotila et al 2002;Sippola et al 2004;Zenner et al 2006;Arano and Munn 2006) or assesses the forest management regime applied in forest stands as a whole (Müller et al 2007a, b;Verwer et al 2008;Wulder et al 2007Duncker et al 2008Bell et al 2008). In contrast to the other two approaches, which Table 1 Overview of approaches characterizing forest management intensity grouped according to the main characteristics of land use (hemeroby/naturalness, disturbance, and management) and the address the effect or evidence of land use respectively, the management approach quantifies the intensity of management itself.…”
Section: Approaches For Assessing Forest Management Intensitymentioning
confidence: 99%
“…Others are based on factorial accuracy, using a metric scale of key management factors for a limited set of management practices (e.g. annual investment expenses (Arano and Munn 2006), harvest history based on tree number, basal area, or volume (Zenner et al 2006;Sippola et al 2004;Storaunet et al 2005;Uotila et al 2002;Aguilar-Amuchastegui and Henebry 2007) and time since the last silvicultural thinning or harvest operation (Kueffer and SennIrlet 2005)). However, there is no widely accepted concept on how to combine these diverse factors into a generally applicable, simple, yet accurate measure of forest management intensity.…”
Section: Approaches For Assessing Forest Management Intensitymentioning
confidence: 99%
“…A wide array of sensors such as Landsat TM, ETM+, IRS and SPOT and, more recently, ALOS, EO-1 ALI, ASTER have proven to be the most versatile for forest-stand parameter estimation, as their spatial resolutions (15-30 m) are consistent with the average quadrant sizes used when surveying structural parameters in the field (Aguilar- Amuchastegui & Henebry, 2007;Lu et al, 2004;Rosenqvist et al, 2007). We are using Landsat based on its 30+ years of accumulated data (now being released), extensive research on its use for forest cover change monitoring, and the development of straightforward and easily implemented techniques for its use for change and/or disturbance detection, such as Kauth-Thomas's "Tasseled Cap Transformation" (TCT) differences (Collins & Woodcock, 1996).…”
Section: Remote-sensing Approachmentioning
confidence: 99%
“…6; Healey et al, 2005;Levien et al, 1999). As forests in general are dynamic (Aguilar-Amuchastegui & Henebry, 2007), stands will exhibit pixels belonging to specific change classes. Those classes are then linked to similar changes observed in reference areas such as a known burned stand or a stand where we know thinning has occurred.…”
Section: Remote-sensing Approachmentioning
confidence: 99%