A5091155888- Remote Sensing in Agriculture
- Forest ecology and management
- Remote Sensing and LiDAR Applications
- Ecology and Vegetation Dynamics Studies
- Conservation, Biodiversity, and Resource Management
- Species Distribution and Climate Change
- Land Use and Ecosystem Services
- Plant Water Relations and Carbon Dynamics
- Forest Management and Policy
- Plant and animal studies
- Remote-Sensing Image Classification
- Oil Palm Production and Sustainability
- Agroforestry and silvopastoral systems
- Rangeland and Wildlife Management
- African Botany and Ecology Studies
- Cocoa and Sweet Potato Agronomy
- Tree Root and Stability Studies
- Botany, Ecology, and Taxonomy Studies
- Botany and Geology in Latin America and Caribbean
- Remote Sensing and Land Use
- Environmental and Cultural Studies in Latin America and Beyond
- Plant and soil sciences
- Forest Insect Ecology and Management
- Cuban History and Society
- Wildlife Ecology and Conservation
US Forest Service
2013-2024
International Institute of Tropical Forestry
2007-2024
Rocky Mountain Research Station
2008-2016
Rocky Mountain Research (United States)
2016
Southern Research Station
2016
United States Department of Agriculture
2016
Oregon State University
1997-2000
University of Minnesota
1990
Seasonally dry tropical forests are distributed across Latin America and the Caribbean highly threatened, with less than 10% of their original extent remaining in many countries. Using 835 inventories covering 4660 species woody plants, we show marked floristic turnover among regions, which may be higher other neotropical biomes, such as savanna. Such high indicates that numerous conservation areas countries will needed to protect full diversity forests. Our results provide a scientific...
Contrary to the general trend in tropics, forests have recovered Puerto Rico from less than 10% of landscape late 1940s more 40% present. The recent Rican history forest recovery provides opportunity study ecological consequences economic globalization, reflected a shift agriculture manufacturing and human migration rural urban areas. Forest structure rapidly recovers through secondary succession, reaching mature levels local biodiversity biomass approximately 40 years. Despite rapid...
Abstract Spatially explicit climate data contribute to watershed resource management, mapping vegetation type with satellite imagery, present and hypothetical future ecological zones, predicting species distributions. The regression‐based parameter–elevation regressions on independent slopes model (PRISM) uses spatial sets, a knowledge base expert interaction generate grids of variables that are compatible geographical information systems. This study applied PRISM maps mean monthly annual...
Classification-trees were used to model forest type groups and types for the conterminous United States Alaska. The predictor data a geospatial set with spatial resolution of 250 m developed by U.S. Department Agriculture Forest Service (USFS). response plot from USFS Inventory Analysis program. Overall accuracies group 69 percent (Kappa � 0.66) 50 0.57), respectively. overall Alaska 78 0.69) 67 0.61), This is first map produced an update previous created Zhu Evans (1994).
Cloud-free optical satellite imagery simplifies remote sensing, but land-cover phenology limits existing solutions to persistent cloudiness compositing temporally resolute, spatially coarser imagery. Here, a new strategy for developing cloud-free at finer resolution permits simple automatic change detection. The uses regression trees predict pixel values underneath clouds and cloud shadows in reference scenes from other scene dates. It then applies improved histogram matching adjacent...
Clouds persistently engulf many tropical mountains at elevations cool enough for clouds to form, creating isolated areas with frequent fog and mist. Under these conditions, thousands of unique species have evolved in what are known as montane cloud forests (TMCF) páramo. Páramo comprises a set alpine ecosystems that occur above TMCF from about 11° N 9° S along the Americas continental divide. on all continents island chains climates increasingly threatened by climate land-use change. Climate...
When mapping land cover with satellite imagery in montane tropical regions, varying illumination angles and ecological zones can obscure the differences between spectral responses of old-growth forest, secondary forest agricultural lands. We used multi-date, Landsat Thematic Mapper (TM) to map forests, lands forests Talamanca Mountain Range southern Costa Rica. With stratification by zone, overall accuracy for this classification was 87% a Kappa coefficient 0.83. also examined successional...
On the Caribbean island of Puerto Rico, forest, urban/built-up, and pasture lands have replaced most formerly cultivated lands. The extent age distribution each forest type that undergoes land development, however, is unknown. This study assembles a time series four cover maps for Rico. includes two digitized paper in 1951 1978 are based on photo interpretation. other decision tree classification Landsat image mosaics dated 1991 2000. With map we quantify land-cover changes from to 2000;...
We estimate the age of humid lowland tropical forests in Rondônia, Brazil, from a somewhat densely spaced time series Landsat images (1975-2003) with an automated procedure, Threshold Age Mapping Algorithm (TAMA), first described here. then landscape-level rate aboveground woody biomass accumulation secondary forest by combining mapping estimates Geoscience Laser Altimeter System (GLAS). Though highly variable, estimated average 8.4 Mg ha-1 yr-1 agrees well ground-based studies for young...