FOREST PRODUCTIVITY PREDICTS INVERTEBRATE BIOMASS AND OVENBIRD (SEIURUS AUROCAPILLUS) REPRODUCTION IN APPALACHIAN LANDSCAPES

Ecology ◽  
2005 ◽  
Vol 86 (6) ◽  
pp. 1531-1539 ◽  
Author(s):  
Steven W. Seagle ◽  
Brian R. Sturtevant
Keyword(s):  
Forest Productivity ◽  
Seiurus Aurocapillus ◽  
Invertebrate Biomass

Forest productivity: producing goods and services for people

2006 ◽  
Author(s):  
Thomas R. Crow ◽  
Daniel C. Dey ◽  
Don Riemenschneider
Keyword(s):  
Forest Productivity ◽  
Goods And Services

scholarly journals Amazonian Fire Events Disturbed the Global Carbon Cycle: A Study from 2019 Amazon Wildfire Using Google Earth Engine

2020 ◽  
Vol 3 (1) ◽  
pp. 43
Author(s):  
Subhajit Bandopadhyay ◽  
Dany A. Cotrina Sánchez
Keyword(s):  
Carbon Cycle ◽  
Carbon Sink ◽  
Brazilian Amazon ◽  
Global Carbon Cycle ◽  
Forest Productivity ◽  
Google Earth ◽  
Comparative Approach ◽  
Burned Area ◽  
Google Earth Engine ◽  
Global Carbon

An unprecedented number of wildfire events during 2019 throughout the Brazilian Amazon caught global attention, due to their massive extent and the associated loss in the Amazonian forest—an ecosystem on which the whole world depends. Such devastating wildfires in the Amazon has strongly hampered the global carbon cycle and significantly reduced forest productivity. In this study, we have quantified such loss of forest productivity in terms of gross primary productivity (GPP), applying a comparative approach using Google Earth Engine. A total of 12 wildfire spots have been identified based on the fire’s extension over the Brazilian Amazon, and we quantified the loss in productivity between 2018 and 2019. The Moderate Resolution Imaging Spectroradiometer (MODIS) GPP and MODIS burned area satellite imageries, with a revisit time of 8 days and 30 days, respectively, have been used for this study. We have observed that compared to 2018, the number of wildfire events increased during 2019. But such wildfire events did not hamper the natural annual trend of GPP of the Amazonian ecosystem. However, a significant drop in forest productivity in terms of GPP has been observed. Among all 11 observational sites were recorded with GPP loss, ranging from −18.88 gC m−2 yr−1 to −120.11 gC m−2 yr−1, except site number 3. Such drastic loss in GPP indicates that during 2019 fire events, all of these sites acted as carbon sources rather than carbon sink sites, which may hamper the global carbon cycle and terrestrial CO2 fluxes. Therefore, it is assumed that these findings will also fit for the other Amazonian wildfire sites, as well as for the tropical forest ecosystem as a whole. We hope this study will provide a significant contribution to global carbon cycle research, terrestrial ecosystem studies, sustainable forest management, and climate change in contemporary environmental sciences.

scholarly journals Modelling the productivity of Siberian larch forests from Landsat NDVI time series in fragmented forest stands of the Mongolian forest-steppe

2021 ◽  
Vol 193 (4) ◽  
Author(s):  
Stefan Erasmi ◽  
Michael Klinge ◽  
Choimaa Dulamsuren ◽  
Florian Schneider ◽  
Markus Hauck
Keyword(s):  
Climate Change ◽  
Time Series ◽  
Global Climate Change ◽  
Global Climate ◽  
Siberian Larch ◽  
Growing Season ◽  
Forest Productivity ◽  
Forest Steppe ◽  
Fragmented Forest ◽  
Southern Fringe

AbstractThe monitoring of the spatial and temporal dynamics of vegetation productivity is important in the context of carbon sequestration by terrestrial ecosystems from the atmosphere. The accessibility of the full archive of medium-resolution earth observation data for multiple decades dramatically improved the potential of remote sensing to support global climate change and terrestrial carbon cycle studies. We investigated a dense time series of multi-sensor Landsat Normalized Difference Vegetation Index (NDVI) data at the southern fringe of the boreal forests in the Mongolian forest-steppe with regard to the ability to capture the annual variability in radial stemwood increment and thus forest productivity. Forest productivity was assessed from dendrochronological series of Siberian larch (Larix sibirica) from 15 plots in forest patches of different ages and stand sizes. The results revealed a strong correlation between the maximum growing season NDVI of forest sites and tree ring width over an observation period of 20 years. This relationship was independent of the forest stand size and of the landscape’s forest-to-grassland ratio. We conclude from the consistent findings of our case study that the maximum growing season NDVI can be used for retrospective modelling of forest productivity over larger areas. The usefulness of grassland NDVI as a proxy for forest NDVI to monitor forest productivity in semi-arid areas could only partially be confirmed. Spatial and temporal inconsistencies between forest and grassland NDVI are a consequence of different physiological and ecological vegetation properties. Due to coarse spatial resolution of available satellite data, previous studies were not able to account for small-scaled land-cover patches like fragmented forest in the forest-steppe. Landsat satellite-time series were able to separate those effects and thus may contribute to a better understanding of the impact of global climate change on natural ecosystems.

A modified production function analysis of changing southern forest productivity

1991 ◽  
Vol 21 (8) ◽  
pp. 1278-1287 ◽  
Author(s):  
David H. Newman
Keyword(s):  
Production Function ◽  
Function Analysis ◽  
Public Lands ◽  
Forest Productivity ◽  
Southern States ◽  
The Past ◽  
Lower Productivity ◽  
Aggregate Production Function ◽  
The Impact ◽  
Productivity Gains

The analysis in this paper measures changes in forest productivity for 12 southern states using a modified, aggregate production function. The function combines cross section – time series, biological, and acreage data to estimate the shift in productivity, measured as either standing inventory plus removals or changes in inventory plus removals, over the past 4 decades. The annual shift in productivity is estimated to be approximately 0.5% for the standing volume measures used. However, productivity gains in the region have virtually stopped during the past decade. The largest contributions to productivity gains were from industrially owned lands and land managed as planted pine. Mixed pine–hardwood stands and public lands (except for plantations) showed lower productivity impacts. These results present an essential component for understanding the impact of technical change on aggregate forest productivity in the southern United States.

scholarly journals Links between fluctuations in sockeye salmon abundance and riparian forest productivity identified by remote sensing

Ecosphere ◽  
2021 ◽  
Vol 12 (8) ◽  
Author(s):  
Celeste N. Kieran ◽  
Debora S. Obrist ◽  
Nicolas J. Muñoz ◽  
Patrick J. Hanly ◽  
John D. Reynolds
Keyword(s):  
Remote Sensing ◽  
Sockeye Salmon ◽  
Riparian Forest ◽  
Forest Productivity

scholarly journals Spatially destabilising effect of woody plant diversity on forest productivity in a subtropical mountain forest

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Yonglin Zhong ◽  
Yudan Sun ◽  
Mingfeng Xu ◽  
Yi Zhang ◽  
Yongqiang Wang ◽  
...  
Keyword(s):  
Plant Diversity ◽  
Woody Plant ◽  
Forest Productivity ◽  
Mountain Forest
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