Valuing and Characterizing Forest Conditions

Bettinger, Pete; Boston, Kevin; Siry, Jacek P.; Grebner, Donald L.

doi:10.1016/b978-0-12-809476-1.00002-3

Cited by 14 publications

(12 citation statements)

References 23 publications

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“…This dataset was validated for spatial accuracy by comparing modelled data to observed data from Forest Inventory and Analysis (FIA) plots and comparing accuracy metrics (Riemann & Wilson, 2014).We created separate layers for each forest cover type by summing the basal areas for all representative species within each cell (Figure S1). Basal area is a common measure of tree density used in forestry to represent aboveground biomass (Bettinger et al, 2017) as it contains information on number of trees and size (Balderas Torres & Lovett, 2013), and is often used to represent forest structure in resource selection models (Irwin et al, 2020;Parsons et al, 2019).…”

Section: Predictorsmentioning

confidence: 99%

Habitat and climatic associations of climate‐sensitive species along a southern range boundary

Wilson

Cousins

Etter

et al. 2023

Ecology and Evolution

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Climate change and habitat loss are recognized as important drivers of shifts in wildlife species' geographic distributions. While often considered independently, there is considerable overlap between these drivers, and understanding how they contribute to range shifts can predict future species assemblages and inform effective management. Our objective was to evaluate the impacts of habitat, climatic, and anthropogenic effects on the distributions of climate-sensitive vertebrates along a southern range boundary in Northern Michigan, USA. We combined multiple sources of occurrence data, including harvest and citizen-science data, then used hierarchical Bayesian spatial models to determine habitat and climatic associations for four climate-sensitive vertebrate species (American marten [Martes americana], snowshoe hare [Lepus americanus], ruffed grouse [Bonasa umbellus] and moose [Alces alces]). We used total basal area of at-risk forest types to represent habitat, and temperature and winter habitat indices to represent climate. Marten associated with upland spruce-fir and lowland riparian forest types, hares with lowland conifer and aspen-birch, grouse with lowland riparian hardwoods, and moose with upland spruce-fir. Species differed in climatic drivers with hares positively associated with cooler annual temperatures, moose with cooler summer temperatures and grouse with colder winter temperatures. Contrary to expectations, temperature variables outperformed winter habitat indices. Model performance varied greatly among species, as did predicted distributions along the southern edge of the Northwoods region. As multiple species were associated with lowland riparian and upland spruce-fir habitats, these results provide potential for efficient prioritization of habitat management. Both direct and indirect effects from climate change are likely to impact the distribution of climate-sensitive species in the future and the use of multiple data types and sources in the modelling of species distributions can result in more accurate predictions resulting in improved management at policy-relevant scales.

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Section: Predictorsmentioning

confidence: 99%

Habitat and climatic associations of climate‐sensitive species along a southern range boundary

Wilson

Cousins

Etter

et al. 2023

Ecology and Evolution

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“…All statistical analyses were performed using the BIOMASS R package of the R statistical software [30,31]. Additionally, basal area (Basal area m 2 = pi × D2/40000), a measure of tree density was calculated, which is known to be correlated with AGB [32,33].…”

Section: Forest Survey Transectsmentioning

confidence: 99%

Lidar-Based Aboveground Biomass Estimations for the Maya Archaeological Site of Yaxnohcah, Campeche, Mexico

et al. 2022

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This study aims to provide a technique applied to archaeology to estimate lidar-based aboveground biomass (AGB) in contemporary tropical forests surrounding archaeological sites. Accurate AGB estimations are important to serve as a baseline to evaluate the wood resources that the ancient Maya could have used for the development of their cities. A lidar processing model is proposed to study the contemporary forest surrounding the Yaxnohcah archaeological site. As tropical forests are highly diverse environments where species are not uniformly distributed, it was necessary to consider the variation within the forest to obtain accurate AGB. Four vegetation communities were defined from a supervised classification of a Sentinel-2 satellite image. A stratified sample was then selected for the field survey that comprised 73 transects of 500 m2 each. To estimate the transect AGB, we used an allometric equation that requires diameter, height, and wood density measurements for identified species. Linear-derived models provided the relationship between field data with lidar statistics for each vegetation type. Predicted average AGB values agreed with those obtained in the field. However, they significantly differed between vegetation types, averaging 83 Mg/ha for lowland forest, 178 for transition forest, and 215 for upland forest communities. From those results, we created a map with wall-to-wall AGB estimates following the distribution of vegetation classes that could complement archaeological research of past land use. Vegetation classification also helped determine that there is a spatial relationship between vegetation communities and the distribution of archaeological settlement features for the ancient city of Yaxnohcah.

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“…Notably, R. apiculata had the most significant basal area, which accounted for 41.96% of the total basal area. The basal area is not just a sum of cross-sectional surface areas, as measured by DBH, of live trees but also a measure of tree density (Bettinger et al 2017). Such was the case for R. apiculata, which despite having a low DBH of 9.76 cm, its density of 2666 stems ha⁻¹, the highest among all identified species, contributed much to its basal area.…”

Section: Vegetation Structure Of Mangrovesmentioning

confidence: 99%

Floristic composition, structure, and diversity of mangroves in the coastal areas of Mabini, Davao de Oro, Philippines

MANUAL¹,

GABATO²,

JETUYA³

et al. 2022

Biodiversitas

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Abstract. Manual AMB, Gabato NAS, Jetuya QB, Alimbon JA. 2022. Floristic composition, structure, and diversity of mangroves in the coastal areas of Mabini, Davao de Oro, Philippines. Biodiversitas 23: 4887-4893. Biodiversity and stand structure assessments of mangrove communities are important for their management and conservation. However, this aspect of mangrove ecology in the Davao Gulf is not yet fully explored, particularly in the coastal areas of Mabini, Davao de Oro, Philippines, despite being proclaimed as a protected area. Hence, this study assessed the species composition, structure and diversity of mangroves in the coastal areas of Mabini, Davao de Oro, Philippines. Using the belt transect method, 35 plots with 10 m x 10 m each were established and surveyed. Results revealed that the area is home to eight species belonging to six genera and five families. One vulnerable species, Avicennia rumphiana, was recorded on the study site. Of the identified species, Rhizophora apiculata was the most important species, with an importance value index of 144.41 %. Meanwhile, the surveyed mangrove communities had a mean diameter at breast height of 10.96 cm, a basal area of 27.93 m² ha?¹, and a mean density of 4192 stems ha?¹. Diversity analysis indicated that the sampled sites had low species biodiversity (H’ = 1.098), low species richness (R = 0.9601), and less even species distribution (J = 0.5280). These results add to the existing knowledge about mangrove communities in Davao Gulf. More importantly, they serve as important baseline information relevant to the management, protection, and conservation of mangroves within the Mabini Protected Landscape and Seascape.

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Valuing and Characterizing Forest Conditions

Cited by 14 publications

References 23 publications

Habitat and climatic associations of climate‐sensitive species along a southern range boundary

Habitat and climatic associations of climate‐sensitive species along a southern range boundary

Lidar-Based Aboveground Biomass Estimations for the Maya Archaeological Site of Yaxnohcah, Campeche, Mexico

Floristic composition, structure, and diversity of mangroves in the coastal areas of Mabini, Davao de Oro, Philippines

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