Spatiotemporal analysis of deforestation patterns and drivers reveals emergent threats to tropical forest landscapes
Bibliographic Data
| ID | 15547722 |
|---|---|
| Authors | Johanness Jamaludin (0000-0001-7043-4814, University of Helsinki, corresponding author), Jose Don T De Alban (0000-0002-1671-5786, National University of Singapore), L Román Carrasco (0000-0002-2894-1473, National University of Singapore), Edward L Webb (0000-0001-5554-9955, University of Helsinki, corresponding author) |
| Year | 2022 |
| Volume | 17 |
| Issue | 5 |
| Pages | 054046-054046 |
| Publication date | 2022-04-21 |
| 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/ac68fa |
| OpenAlex | W4224267804 |
| Language | EN |
| Citations received | 5 |
| References cited | 66 |
As deforestation breaches into new tropical frontiers, proactive conservation strategies require a trifecta of information on where deforestation is accelerating (emergent), how drivers of deforestation vary spatiotemporally, and where to focus limited conservation resources in protecting the most integral yet threatened forested landscapes. Here we introduce Emergent Threat Analysis, a process integrating Emerging Hot Spot Analysis of deforestation, visual classification of deforestation outcomes over time, and spatial quantification of contemporary forest condition. We applied Emergent Threat Analysis to tropical Southeast Asia, a global epicentre of biodiversity threatened by deforestation. We found that emergent hot spots (EHS)—a subset of hot spots characterized by strong, recent, and clustered patterns of deforestation—accounted for 26.1% of total forest loss from 1992 to 2018, with deforestation within EHS proceeding at 2.5 times the regional rate of gross loss. Oil palm and rubber plantation expansion were the principal drivers of deforestation within EHS of insular and mainland SE Asia, respectively. Over the study period, oil palm shifted in importance from Sumatra and Sarawak to Papua and Kalimantan, whereas rubber became prominent in Cambodia and Tanintharyi from 2006 to 2015. As of 2019, more than 170 000 km 2 of SE Asia’s remaining forest occurred within EHS, of which 21.7% was protected. High and medium-integrity forest constituted 19.2% and 49.1% of remaining EHS forest, respectively, but of these, 35.0% of high-integrity and 23.9% of medium-integrity EHS forest were protected. Because we anticipate that tree plantation expansion will continue to drive deforestation in SE Asia, significantly heightened protection is needed to secure the long-term preservation of high and medium-integrity forest, especially in highly contested forest frontier regions. Finally, as a flexible, integrated process, Emergent Threat Analysis is applicable to deforestation fronts across the global tropics
Agroforestry · Amazon rainforest · Biodiversity · Biology · Deforestation (computer science · Environmental protection · Geography · Habitat · Threatened species · Tropics · Conservation, Biodiversity, and Resource Management · Environmental Science · Forest Management and Policy · Oil Palm Production and Sustainability · Ecology
Wild meat consumption in changing rural landscapes of Indonesian Borneo
Fire is associated with forest degradation and economic land concessions, but not land conversion in the rapidly transforming Cambodian landscape
Increasing pressure on protected areas in the DR Congo
Conserving Southeast Asian trees requires mitigating both climate and land-use change
Reduction of deforestation by agroforestry in high carbon stock forests of Southeast Asia
An Ecoregion-Based Approach to Protecting Half the Terrestrial Realm
Classifying drivers of global forest loss
The Impacts of Oil Palm on Recent Deforestation and Biodiversity Loss
Rapid conversions and avoided deforestation
Relative Contributions of the Logging, Fiber, Oil Palm, and Mining Industries to Forest Loss in Indonesia
Changing Drivers of Deforestation and New Opportunities for Conservation
Landscapemetrics
Nonparametric Tests Against Trend
Determination of tropical deforestation rates and related carbon losses from 1990 to 2010
Area-based conservation in the twenty-first century
Rates and drivers of mangrove deforestation in Southeast Asia, 2000–2012
Quantification of global gross forest cover loss
The Rubber Juggernaut
Biodiversity hotspots for conservation priorities
Proximate Causes and Underlying Driving Forces of Tropical Deforestation
High-Resolution Global Maps of 21st-Century Forest Cover Change
The Analysis of Spatial Association by Use of Distance Statistics
Humid tropical forest disturbance alerts using Landsat data
An assessment of deforestation and forest degradation drivers in developing countries
Improved estimates of mangrove cover and change reveal catastrophic deforestation in Myanmar
Tropical deforestation and greenhouse gas emissions
Using spatial statistics to identify emerging hot spots of forest loss
Forest disturbance alerts for the Congo Basin using Sentinel-1
Environmental destruction not avoided with the Sustainable Development Goals
Upward expansion and acceleration of forest clearance in the mountains of Southeast Asia
Mapping the irrecoverable carbon in Earth’s ecosystems
Drivers and mechanisms of forest change in the Himalayas
What are the limits to oil palm expansion
Current trends of rubber plantation expansion may threaten biodiversity and livelihoods
The territorial politics of land use planning in Laos
Identifying key factors for mobilising under-utilised low carbon land resources
Shifting patterns of oil palm driven deforestation in Indonesia and implications for zero-deforestation commitments
Drivers of deforestation and degradation for 28 tropical conservation landscapes
Land-use regime shifts
Linking Land Change with Driving Forces and Actors
Mega-Plantations in Southeast Asia
Expansion of rubber (Hevea brasiliensis) in Mainland Southeast Asia
Policies, Political-Economy, and Swidden in Southeast Asia
| Unique citing works | 5 |
|---|---|
| Citations per year | 2,5 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |