Forest structure as a predictor of tree species diversity in the North Carolina Piedmont

Hakkenberg, Christopher R.; Song, Conghe; Peet, Robert K.; White, Peter S.

doi:10.1111/jvs.12451

Cited by 49 publications

(51 citation statements)

References 77 publications

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“…Furthermore, the diversity and composition of forests may vary with different forest types and stages [43,[50][51][52][53]. The results of our study are in agreement with these findings, as the diversity, distribution, and composition of forests varied between regions with different annual rainfall levels but similar annual temperatures variations.…”

Section: Discussionsupporting

confidence: 89%

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Species Diversity, Stand Structure, and Species Distribution across a Precipitation Gradient in Tropical Forests in Myanmar

Khaine

Woo

Kang

et al. 2017

Forests

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An understanding of how species diversity, structural pattern, and species distribution vary across different environmental regions is crucially important for tropical ecology. In this study, we explored how these ecological parameters vary across various rainfall regions in the tropics with annual rainfall levels ranging from 843 to 2035 mm. Diversity, similarity, structure, and forest classification, and their correspondence with rainfall regions were tested. We found that species diversity, site class, and structural complexity increased with rainfall, with differences of 1000 mm having significant effects on diversity. The structure and heterogeneity of forests were higher in the high rainfall regions than the low rainfall regions. The forest structure was significantly correlated with rainfall, and the structure differed substantially where annual rainfall differed among sites by approximately 200 or 400 mm. Forests could be classified into two types according to whether they had high annual rainfall (1411-2035 mm) or low annual rainfall (843-1029 mm). In addition, the dominance of species changed noticeably from high-to low-rainfall regions, with Tectona hamiltoniana and Terminalia oliveri only being abundant in the low rainfall region. Species diversity and richness were significantly correlated with rainfall and average temperature. These findings will provide invaluable information for forest management and ecological phytogeography.

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Section: Discussionsupporting

confidence: 89%

“…The Shannon diversity index favors rare species, while the Simpson diversity index favors more abundant species [37,43,44]. We also calculated the Shannon evenness to define how close in numbers each species was in an environment [41].…”

Section: Sampling Procedures and Data Analysismentioning

confidence: 99%

Species Diversity, Stand Structure, and Species Distribution across a Precipitation Gradient in Tropical Forests in Myanmar

Khaine

Woo

Kang

et al. 2017

Forests

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“…These relationships can be made comprehensible using landscape metrics (Morris 2014;Amici et al 2015;Hakkenberg et al 2016), which we are able to show local plant variety is satisfyingly predicted by relatively simple landscape metrics (Walz 2011).…”

Section: Implications For Biodiversity Conservation and Forest Restormentioning

confidence: 99%

“…The succession of the stands is known to show a strong pattern of low diversity during the beginning phase of natural thinning, followed by an increasing gap opening of the canopy (Hakkenberg et al 2016).…”

Section: Landscape Metrics For Biodiversity Assessmentmentioning

confidence: 99%

“…In addition, fragmentation also reduces the size of the population and diversity of shade tolerant tree species and promotes the presence of generalist and pioneer plant species (Fischer and Lindenmayer 2007). So, the ability to understand the relationship between the structure of the landscape, biodiversity and the output of ecosystem services on time and space scale is necessary (Haines-Young 2009;Hakkenberg et al 2016).…”

Section: Introductionmentioning

confidence: 99%

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The landscape structure change of the tropical lowland forest and its possible effect on tree species diversity in South Sumatra, Indonesia

et al. 2017

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Abstract. Zulfikhar, Zulkifli H, Kadir S, Iskandar I. 2017. The landscape structure change of the tropical lowland forest and its possible effect on tree species diversity in South Sumatra,. The forest fragmentation is a spatial structure change, resulted in a reduction of the number and size of forest patches, and a subdivision and breaking up of the areas into smaller parcels. The key scientific challenges concern the significant gaps exist in our ability to understand the relationships between landscape structure, biodiversity and the output of ecosystem services at different spatial and temporal scales. The objective of this study was to examine the possible effect of changes in a spatial pattern of habitat against the changes of the tree species diversity. We apply a landscape structure analysis of the forest fragmentation, and then determine the principal component of the landscape metrics. We analyzed multitemporal satellite imageries from 1989 to 2013, that have been clipped as a sampling area. Thirty-two circular sampling areas with a radius of 2,500 meters were used. We conducted observations in 32 unit sample plots of biodiversity in the size of 20 meters by 50 meters, at a midpoint of the clip of area sampling. The results of a test of inter-correlation of all variable data showed that there were 15 of 23 landscape metrics of natural forest, reliable for the next analysis. We reduced the number of variables into three new variable groups using Principal Component Analysis (PCA). We produce three of six models of principal component multipleregression were significant (p < 0.05) to predict the composition and diversity of tree species caused by a change of landscape metrics, namely the species richness index, species equity index, and basal area of a tree stand. The prediction models are beneficial in the planning of biodiversity conservation and restoration of the fragmented natural forest.

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Evaluating the sensitivity of forest structural diversity characterization to LiDAR point density

et al. 2022

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Recent expansion in data sharing has created unprecedented opportunities to explore structure-function linkages in ecosystems across spatial and temporal scales. However, characteristics of the same data product, such as resolution, can change over time or spatial locations, as protocols are adapted to new technology or conditions, which may impact the data's potential utility and accuracy for addressing end user scientific questions. The National Ecological Observatory Network (NEON) provides data products for users from 81 sites and over a planned 30-year time frame, including discrete-return light detection and ranging (LiDAR) from an airborne observation platform. LiDAR is a well-established and increasingly available remote sensing technology for measuring three-dimensional characteristics of ecosystem and landscape structure, including forest structural diversity. The LiDAR product that NEON provides can vary in point density from 2 to 25+ pt/m 2 depending on the instrument and acquisition date. We used NEON LiDAR from five forested sites to (1) identify the minimum point density at which structural diversity metrics can be robustly estimated across forested sites from different ecoclimatic zones in the United States and (2) to test the effects of variable point density on the estimation of a suite of structural diversity metrics and multivariate structural complexity types within and across forested sites. Twelve of 16 structural diversity metrics were sensitive to LiDAR point density in at least one of the five NEON forested sites. The minimum point density to reliably estimate the metrics ranged from 2.0 to 7.5 pt/m 2 , but our results indicate that point densities above 7-8 pt/m 2 should provide robust measurements of structural diversity in forests for temporal or spatial comparisons. The delineation of multivariate structural complexity types from a suite of 16 structural diversity metrics was robust within sites and across forest types for a LiDAR point density of 4 pt/m 2 and above. This study shows that different metrics of structural diversity can vary in their sensitivity to the resolution of LiDAR data and that users of these

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Forest structure as a predictor of tree species diversity in the North Carolina Piedmont

Cited by 49 publications

References 77 publications

Species Diversity, Stand Structure, and Species Distribution across a Precipitation Gradient in Tropical Forests in Myanmar

Species Diversity, Stand Structure, and Species Distribution across a Precipitation Gradient in Tropical Forests in Myanmar

The landscape structure change of the tropical lowland forest and its possible effect on tree species diversity in South Sumatra, Indonesia

Evaluating the sensitivity of forest structural diversity characterization to LiDAR point density

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