Possibilities and Limitations of a Geospatial Approach to Refine Habitat Mapping for Greater Gliders (Petauroides spp.) DOI Creative Commons
Julianne Evans, Elizabeth A. Brunton, Javier X. Leon

et al.

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 784 - 784

Published: April 5, 2025

Hollow-dependent wildlife has been declining globally due to the removal of hollow-bearing trees, yet these trees are often unaccounted for in habitat mapping. As on-ground field surveys costly and time-consuming, we aimed develop a simple, accessible transferrable geospatial approach using freely LiDAR refine mapping by identifying high densities potential trees. We assessed if from 2009 could be accurately used detect tree heights, which would correlate diameter at breast height (DBH), turn identify that more likely hollow-bearing. Here, use greater gliders (Petauroides spp.) Fraser Coast region Australia as case study. Across four sites, were conducted 2023 assess density large (>50 cm DBH per 1 km2) 19 transects (n = 91). This was compared outputs individual detection derived unsupervised classification local maximal filter variable window size treetops available LiDAR. Tree measured with an accuracy RMSE 5.75 m, able DBH), hollow bearing. However, there no statistical evidence suggest identified based on alone p 0.2298). Despite this, have demonstrated machine learning techniques can utilised large, potentially broad scale hollow-dependent species. It is important analysis methods land managers, deep current computationally intensive expensive. propose workflow free determine how address some limitations this approach.

Language: Английский

Vapour pressure deficit modulates hydraulic function and structure of tropical rainforests under nonlimiting soil water supply DOI Creative Commons
Oliver Binks, Lucas A. Cernusak, Michael J. Liddell

et al.

New Phytologist, Journal Year: 2023, Volume and Issue: 240(4), P. 1405 - 1420

Published: Sept. 14, 2023

Atmospheric conditions are expected to become warmer and drier in the future, but little is known about how evaporative demand influences forest structure function independently from soil moisture availability, fast-response variables (such as canopy water potential stomatal conductance) may mediate longer-term changes response climate change. We used two tropical rainforest sites with different temperatures vapour pressure deficits (VPD), nonlimiting supply, assess impact of on ecophysiological structure. Common species between allowed us test extent which composition, relative abundance intraspecific variability contributed site-level differences. The highest VPD site had lower midday potentials, conductance (gc ), annual transpiration, stature, biomass, while transpiration rate was less sensitive VPD; it also height-diameter allometry (accounting for 51% difference biomass sites) higher plot-level wood density. Our findings suggest that increases VPD, even absence limitation, influence variables, such potentials gc , potentially leading stature resulting reductions biomass.

Language: Английский

Citations

12
UAV-based remote sensing of turbidity in coastal environment for regulatory monitoring and assessment DOI
Hieu Trung Kieu, Hui Ying Pak,

Ha Linh Trinh

et al.

Marine Pollution Bulletin, Journal Year: 2023, Volume and Issue: 196, P. 115482 - 115482

Published: Oct. 19, 2023

Language: Английский

Citations

11
New tree height allometries derived from terrestrial laser scanning reveal substantial discrepancies with forest inventory methods in tropical rainforests DOI Creative Commons
Louise Terryn, Kim Calders, Félicien Meunier

et al.

Global Change Biology, Journal Year: 2024, Volume and Issue: 30(8)

Published: Aug. 1, 2024

Abstract Tree allometric models, essential for monitoring and predicting terrestrial carbon stocks, are traditionally built on global databases with forest inventory measurements of stem diameter (D) tree height (H). However, these often combine H obtained through various measurement methods, each distinct error patterns, affecting the resulting H:D allometries. In recent decades, laser scanning (TLS) has emerged as a widely accepted method accurate, non‐destructive structural measurements. This study used TLS data to evaluate prediction accuracy inventory‐based allometries develop more accurate pantropical We considered 19 tropical rainforest plots across four continents. Eleven had RIEGL VZ‐400(i) TLS‐based D data, allowing assessment local Additionally, from 1951 trees all were create new rainforests. Our findings reveal that in most plots, underestimated compared For 30‐metre‐tall trees, underestimations varied −1.6 m (−5.3%) −7.5 (−25.4%). Malaysian plot reaching up 77 height, underestimation was much −31.7 (−41.3%). propose allometry, incorporating maximum climatological water deficit site effects, mean uncertainty 19.1% bias −4.8%. While is roughly 2.3% greater than Chave2014 model, this model demonstrates consistent uncertainties size delivers less biased estimates (with reduction 8.23%). summary, recognizing errors methods vital, they can propagate into inform. underscores potential rainforests, refining

Language: Английский

Citations

4
Detección Automática De Palmas Ceroxylon Mediante Aprendizaje Profundo En Un Área Protegida Del Amazonas (No Perú) DOI

J. Vega,

Jhonsy O. Silva-López, Rolando Salas López

et al.

Published: Jan. 1, 2025

Citations

0
Possibilities and Limitations of a Geospatial Approach to Refine Habitat Mapping for Greater Gliders (Petauroides spp.) DOI Creative Commons
Julianne Evans, Elizabeth A. Brunton, Javier X. Leon

et al.

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 784 - 784

Published: April 5, 2025

Hollow-dependent wildlife has been declining globally due to the removal of hollow-bearing trees, yet these trees are often unaccounted for in habitat mapping. As on-ground field surveys costly and time-consuming, we aimed develop a simple, accessible transferrable geospatial approach using freely LiDAR refine mapping by identifying high densities potential trees. We assessed if from 2009 could be accurately used detect tree heights, which would correlate diameter at breast height (DBH), turn identify that more likely hollow-bearing. Here, use greater gliders (Petauroides spp.) Fraser Coast region Australia as case study. Across four sites, were conducted 2023 assess density large (>50 cm DBH per 1 km2) 19 transects (n = 91). This was compared outputs individual detection derived unsupervised classification local maximal filter variable window size treetops available LiDAR. Tree measured with an accuracy RMSE 5.75 m, able DBH), hollow bearing. However, there no statistical evidence suggest identified based on alone p 0.2298). Despite this, have demonstrated machine learning techniques can utilised large, potentially broad scale hollow-dependent species. It is important analysis methods land managers, deep current computationally intensive expensive. propose workflow free determine how address some limitations this approach.

Language: Английский

Citations

0