2010
DOI: 10.1111/j.1365-2664.2010.01803.x
|View full text |Cite
|
Sign up to set email alerts
|

Is what you see what you get? Visual vs. measured assessments of vegetation condition

Abstract: Summary1. An important step in the conservation of biodiversity is to identify what exists, its quantity and its quality (i.e. condition). This can be a daunting task at the landscape-scale, so vegetation communities are often used as surrogates for biodiversity. Satellite imagery has improved our ability to rapidly measure vegetation parameters but the need for calibration still requires rapid and cost-effective on-ground condition assessment. Some management agencies address this need by using visual conditi… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
9
0

Year Published

2014
2014
2024
2024

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 17 publications
(11 citation statements)
references
References 27 publications
(39 reference statements)
1
9
0
Order By: Relevance
“…In general, averaging parameter estimates for multiple Rapid Assessments yielded more consistent results than any single Rapid Assessment from sites, suggesting that combining multiple Rapid Assessments to characterize areas is preferred over single samples. This is similar to a comparison of rapid qualitative score to quantitative scores of vegetative condition, where there was broad association in the scores across many sites, but rapid assessments were not reliable at the level of a specific site (Cook et al, 2010). Furthermore, this underscores our recommendations that managers sample multiple sites.…”
Section: Discussionsupporting
confidence: 67%
“…In general, averaging parameter estimates for multiple Rapid Assessments yielded more consistent results than any single Rapid Assessment from sites, suggesting that combining multiple Rapid Assessments to characterize areas is preferred over single samples. This is similar to a comparison of rapid qualitative score to quantitative scores of vegetative condition, where there was broad association in the scores across many sites, but rapid assessments were not reliable at the level of a specific site (Cook et al, 2010). Furthermore, this underscores our recommendations that managers sample multiple sites.…”
Section: Discussionsupporting
confidence: 67%
“…Inaccurate assessments of condition could lead to poor management decisions attributable to the premature cessation of vital management programs or by misdirecting management resources through a failure to recognize when programs are not needed. However, where subjective estimates of vegetation condition represent a good surrogate for empirical data, they provide a fast, cheap alternative to resource-intensive sampling techniques (Cook et al 2010b). We found that estimates made by practitioners tended to be pessimistic relative to the empirical scientific estimates (Fig.…”
Section: Practitioners' Local Ecological Knowledgementioning
confidence: 77%
“…In contrast to the costs of collecting empirical estimates of vegetation condition, LEK has the advantage of being relatively cheap and readily available. However, vegetation condition can be a complex concept (Keith and Gorrod 2006) that is challenging to objectively assess and to judge visually (Cook et al 2010b). Biodiversity conservation is the primary goal of protected area management; therefore, we adopt the definition of vegetation condition used by Keith and Gorrod (2006) as it relates to biodiversity: the capacity of vegetation to sustain local populations of plants and animals, their genetic diversity, and ecological interactions.…”
Section: Methodsmentioning
confidence: 99%
“…Forest structure has multiple aspects and a broad variety of indicators exist to describe these for retention purposes. While forest managers mostly have to rely on their subjective visual impression when they decide which trees or group of trees will be retained [10], different criteria have been evaluated to make these decisions more objective. First attempts to describe quantitative structural complexity used diversities of tree diameters at breast height (DBH), tree size differences, or spatial patterns of tree locations [11][12][13][14][15].…”
Section: Descriptors Of Forest Structurementioning
confidence: 99%