Outputs (36)

Remote sensing for monitoring tropical dryland forests: A review of current research, knowledge gaps and future directions for Southern Africa (2022)
Journal Article
David, R., Rosser, N. J., & Donoghue, D. N. (2022). Remote sensing for monitoring tropical dryland forests: A review of current research, knowledge gaps and future directions for Southern Africa. Environmental Research Communications, 4(4), https://doi.org/10.1088/2515-7620/ac5b84

Climate change, manifest via rising temperatures, extreme drought, and associated anthropogenic activities, has a negative impact on the health and development of tropical dryland forests. Southern Africa encompasses significant areas of dryland fore... Read More about Remote sensing for monitoring tropical dryland forests: A review of current research, knowledge gaps and future directions for Southern Africa.

Satellite data track spatial and temporal declines in European beech forest canopy characteristics associated with intense drought events in the Rhön Biosphere Reserve, central Germany (2022)
Journal Article
West, E., Morley, P., Jump, A., & Donoghue, D. (2022). Satellite data track spatial and temporal declines in European beech forest canopy characteristics associated with intense drought events in the Rhön Biosphere Reserve, central Germany. Plant Biology, 24(7), 1120-1131. https://doi.org/10.1111/plb.13391

The increasing intensity and frequency of droughts under climate change demands effective ways to monitor drought impacts. We sought to determine how different satellite remote sensing sources influence our ability to identify temporal and spatial im... Read More about Satellite data track spatial and temporal declines in European beech forest canopy characteristics associated with intense drought events in the Rhön Biosphere Reserve, central Germany.

Biomass estimation in mangrove forests: a comparison of allometric models incorporating species and structural information (2021)
Journal Article
Rahman, M. S., Donoghue, D. N., Bracken, L. J., & Mahmood, H. (2021). Biomass estimation in mangrove forests: a comparison of allometric models incorporating species and structural information. Environmental Research Letters, 16(12), Article 124002. https://doi.org/10.1088/1748-9326/ac31ee

Improved estimates of aboveground biomass (AGB) are required to improve our understanding of the productivity of mangrove forests to support the long-term conservation of these fragile ecosystems which are under threat from many natural and anthropog... Read More about Biomass estimation in mangrove forests: a comparison of allometric models incorporating species and structural information.

Is soil organic carbon underestimated in the largest mangrove forest ecosystems? Evidence from the Bangladesh Sundarbans (2021)
Journal Article
Rahman, M., Donoghue, D., & Bracken, L. (2021). Is soil organic carbon underestimated in the largest mangrove forest ecosystems? Evidence from the Bangladesh Sundarbans. CATENA, 200, Article 105159. https://doi.org/10.1016/j.catena.2021.105159

Globally, mangroves sequester a large amount of carbon into the sediments, although spatial heterogeneity exists owing to a wide variety of local, regional, and global controls. Rapid environmental and climate change, including increasing sea-level r... Read More about Is soil organic carbon underestimated in the largest mangrove forest ecosystems? Evidence from the Bangladesh Sundarbans.

Accounting for Greenhouse Gas Emissions from Forest Edge Degradation: Gold Mining in Guyana as a Case Study (2020)
Journal Article
Brown, S., Mahmood, A. R., Goslee, K. M., Pearson, T. R., Sukhdeo, H., Donoghue, D. N., & Watt, P. (2020). Accounting for Greenhouse Gas Emissions from Forest Edge Degradation: Gold Mining in Guyana as a Case Study. Forests, 11(12), Article 1307. https://doi.org/10.3390/f11121307

Background and Methods: Degradation of forests in developing countries results from multiple activities and is perceived to be a key source of greenhouse gas emissions, yet there are not reliable methodologies to measure and monitor emissions from al... Read More about Accounting for Greenhouse Gas Emissions from Forest Edge Degradation: Gold Mining in Guyana as a Case Study.

Montane forest expansion at high elevations drives rapid reduction in non‐forest area, despite no change in mean forest elevation (2020)
Journal Article
Morley, P. J., Donoghue, D. N., Chen, J., & Jump, A. S. (2020). Montane forest expansion at high elevations drives rapid reduction in non‐forest area, despite no change in mean forest elevation. Journal of Biogeography, 47(11), 2405-2416. https://doi.org/10.1111/jbi.13951

Aim: At the elevational limit of forest distribution, montane forests show diverse responses to environmental change with upward shifts, increased tree density and lateral expansion reported. To enable informed analysis of the consequences forest adv... Read More about Montane forest expansion at high elevations drives rapid reduction in non‐forest area, despite no change in mean forest elevation.

The effect of leaf-on and leaf-off forest canopy conditions on LiDAR derived estimations of forest structural diversity (2020)
Journal Article
Davison, S., Donoghue, D. N., & Galiatsatos, N. (2020). The effect of leaf-on and leaf-off forest canopy conditions on LiDAR derived estimations of forest structural diversity. International Journal of Applied Earth Observation and Geoinformation, 92, Article 102160. https://doi.org/10.1016/j.jag.2020.102160

Forest structural diversity metrics describing diversity in tree size and crown shape within forest stands can be used as indicators of biodiversity. These diversity metrics can be generated using airborne laser scanning (LiDAR) data to provide a rap... Read More about The effect of leaf-on and leaf-off forest canopy conditions on LiDAR derived estimations of forest structural diversity.

An Assessment of Global Forest Change Datasets for National Forest Monitoring and Reporting (2020)
Journal Article
Galiatsatos, N., Donoghue, D., Watt, P., Bholanath, P., Pickering, J., Hansen, M., & Mahmood, A. (2020). An Assessment of Global Forest Change Datasets for National Forest Monitoring and Reporting. Remote Sensing, 12(11), Article 1790. https://doi.org/10.3390/rs12111790

Global Forest Change datasets have the potential to assist countries with national forest measuring, reporting and verification (MRV) requirements. This paper assesses the accuracy of the Global Forest Change data against nationally derived forest ch... Read More about An Assessment of Global Forest Change Datasets for National Forest Monitoring and Reporting.

Quantifying structural diversity to better estimate change at mountain forest margins (2019)
Journal Article
Morley, P. J., Donoghue, D. N., Chen, J., & Jump, A. S. (2019). Quantifying structural diversity to better estimate change at mountain forest margins. Remote Sensing of Environment, 223, 291-306. https://doi.org/10.1016/j.rse.2019.01.027

Global environmental changes are driving shifts in forest distribution across the globe with significant implications for biodiversity and ecosystem function. At the upper elevational limit of forest distribution, patterns of forest advance and stasi... Read More about Quantifying structural diversity to better estimate change at mountain forest margins.

A Remote Sensing Approach for Mapping the Development of Ancient Water Management in the Near East (2018)
Journal Article
Rayne, L., & Donoghue, D. (2018). A Remote Sensing Approach for Mapping the Development of Ancient Water Management in the Near East. Remote Sensing, 10(12), Article 2042. https://doi.org/10.3390/rs10122042

We present a novel approach that uses remote sensing to record and reconstruct traces of ancient water management throughout the whole region of Northern Mesopotamia, an area where modern agriculture and warfare has had a severe impact on the surviva... Read More about A Remote Sensing Approach for Mapping the Development of Ancient Water Management in the Near East.