Towards mapping the diversity of canopy structure from space with Gedi
Bibliographic Data
| ID | 15544503 |
|---|---|
| Authors | Fabian Schneider (0000-0003-1791-2041, Jet Propulsion Laboratory, corresponding author), António Ferraz (0000-0001-6197-7040, Jet Propulsion Laboratory), Steven Hancock (0000-0001-5659-6964, University of Maryland, College Park), Laura Duncanson (0000-0003-4031-3493, University of Maryland, College Park), Ralph Dubayah (0000-0003-1440-6346, University of Maryland, College Park), Ryan Pavlick (0000-0001-8772-3508, Jet Propulsion Laboratory), David Schimel (0000-0003-3473-8065, Jet Propulsion Laboratory) |
| Year | 2020 |
| Volume | 15 |
| Issue | 11 |
| Pages | 115006-115006 |
| Publication date | 2020-06-19 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Research Letters (JOURNAL) |
| Journal identifiers | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Publisher | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/ab9e99 |
| OpenAlex | W3036326309 |
| Language | EN |
| Citations received | 5 |
| References cited | 80 |
Plant biodiversity supports life on Earth and provides a range of important ecosystem services, but is under severe pressure by global change. Structural diversity plays a crucial role for carbon, water and energy cycles and animal habitats. However, it is very difficult to map and monitor over large areas, limiting our ability to assess the status of biodiversity and predict change. NASA’s Global Ecosystem Dynamics Investigation (GEDI) provides a new opportunity to measure 3D plant canopy structure of the world’s temperate, Mediterranean and tropical ecosystems, but its potential to map structural diversity is not yet tested. Here, we use wall-to-wall airborne laser scanning (ALS) to simulate GEDI data (GEDI sim ) over 7380 km 2 in the southern Sierra Nevada mountains in California and evaluate how well GEDI’s sampling scheme captures patterns of structural diversity. We evaluate functional richness and functional beta diversity in a biodiversity hot spot. GEDI sim performed well for trait retrievals (r 2 = 0.68) and functional richness mapping (r 2 = 0.75) compared to ALS retrievals, despite lower correlations in complex terrain with steep slopes. Functional richness patterns were strongly associated with soil organic carbon stocks and density as well as variables related to water availability and could be appropriately mapped by GEDI sim with and without cloud cover. Functional beta diversity was more strongly related to local changes in topography and more challenging to map, especially with decreasing sampling density. The reduced number of GEDI sim shots when simulating cloud cover lead to a strong overestimation of beta diversity and a reduction of r 2 from 0.64 to 0.40 compared to ALS. The ability to map functional richness has been demonstrated with potential application at continental scales that could be transformative for our understanding of large-scale patterns of plant canopy structure, diversity and potential links to animal diversity, movement and habitats
Alpha diversity · Biodiversity · Biology · Canopy · Ecosystem · Geography · Physical geography · Sampling (signal processing · Species richness · Terrain · Computer Science · Environmental Science · Remote Sensing and LiDAR Applications · Remote Sensing in Agriculture · Species Distribution and Climate Change · Ecology
Forest Aboveground Biomass in the Annapurna Region, Himalaya, Derived From Ground-Based and Spaceborne Laser Scanning
Extrapolation of canopy height and cover metrics of Gedi LiDAR in tropical montane forest ecosystem
Mapping tree diversity in the tropical forest region of Chocó-Colombia
Combining Gedi and Sentinel-2 for wall-to-wall mapping of tall and short crops
Integrating spaceborne estimates of structural diversity of habitat into wildlife occupancy models
Linking the influence and dependence of people on biodiversity across scales
Has the Earth’s sixth mass extinction already arrived?
System for Automated Geoscientific Analyses (Saga) v. 2.1.4
Accelerated modern human–induced species losses
One-third of global protected land is under intense human pressure
SoilGrids250m
Tropical forests are a net carbon source based on aboveground measurements of gain and loss
Pervasive human-driven decline of life on Earth points to the need for transformative change
WorldClim 2
Structural diversity as a predictor of ecosystem function
The importance of forest structure for carbon fluxes of the Amazon rainforest
Exploring the relation between remotely sensed vertical canopy structure and tree species diversity in Gabon
Aiming higher to bend the curve of biodiversity loss
| Unique citing works | 5 |
|---|---|
| Citations per year | 1 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |