scholarly journals Uncoupled changes in tree cover and field layer vegetation at two Pyrenean treeline ecotones over 11 years

2013 ◽  
Vol 6 (3-4) ◽  
pp. 355-364 ◽  
Author(s):  
Iker Pardo ◽  
J. Julio Camarero ◽  
Emilia Gutiérrez ◽  
María B. García
Keyword(s):  
2011 ◽  
Vol 75 (3) ◽  
pp. 290-297 ◽  
Author(s):  
P.A. Aarrestad ◽  
G.S. Masunga ◽  
H. Hytteborn ◽  
M.L. Pitlagano ◽  
W. Marokane ◽  
...  

1996 ◽  
Vol 7 (1) ◽  
pp. 17-27 ◽  
Author(s):  
Ola Atlegrim ◽  
Kjell Sjöberg

This study assesses differences between a seven-year old clear-cut and four forest habitats as regards abundance and biomass of different invertebrate taxa - important for habitat quality for insectivorous birds. Forest types studied were pine bog, spruce mire, mesic spruce and pine heath forest. Data were collected in the second half of June 1984 (to coincide with the peak feeding demands of many nestling birds). Results indicate that the clear-cut differed more from the tree covered habitats with respect to the field layer fauna than with respect to the terricolous fauna. Compared to the forest habitats, the clear -cut was characterized by a higher abundance and biomass of sap-suckers (Hemiptera: Homoptera and Heteroptera) but a lower abundance and biomass of leaf-eating herbivorous larvae (Hymenoptera: Symphyta and Lepidoptera) in the field layer. The difference with respect to leaf-eating larvae was probably caused by low abundance of larvae food plants in the clear-cut. This may be an important ecological difference because these larvae can be an important food source for insectivorous birds.


2020 ◽  
Vol 12 (19) ◽  
pp. 3226
Author(s):  
Daniel Cunningham ◽  
Paul Cunningham ◽  
Matthew E. Fagan

Global tree cover products face challenges in accurately predicting tree cover across biophysical gradients, such as precipitation or agricultural cover. To generate a natural forest cover map for Costa Rica, biases in tree cover estimation in the most widely used tree cover product (the Global Forest Change product (GFC) were quantified and corrected, and the impact of map biases on estimates of forest cover and fragmentation was examined. First, a forest reference dataset was developed to examine how the difference between reference and GFC-predicted tree cover estimates varied along gradients of precipitation and elevation, and nonlinear statistical models were fit to predict the bias. Next, an agricultural land cover map was generated by classifying Landsat and ALOS PalSAR imagery (overall accuracy of 97%) to allow removing six common agricultural crops from estimates of tree cover. Finally, the GFC product was corrected through an integrated process using the nonlinear predictions of precipitation and elevation biases and the agricultural crop map as inputs. The accuracy of tree cover prediction increased by ≈29% over the original global forest change product (the R2 rose from 0.416 to 0.538). Using an optimized 89% tree cover threshold to create a forest/nonforest map, we found that fragmentation declined and core forest area and connectivity increased in the corrected forest cover map, especially in dry tropical forests, protected areas, and designated habitat corridors. By contrast, the core forest area decreased locally where agricultural fields were removed from estimates of natural tree cover. This research demonstrates a simple, transferable methodology to correct for observed biases in the Global Forest Change product. The use of uncorrected tree cover products may markedly over- or underestimate forest cover and fragmentation, especially in tropical regions with low precipitation, significant topography, and/or perennial agricultural production.


2018 ◽  
Vol 13 (6) ◽  
pp. 549-564 ◽  
Author(s):  
Alexander Krylov ◽  
Marc K. Steininger ◽  
Matthew C. Hansen ◽  
Peter V. Potapov ◽  
Stephen V. Stehman ◽  
...  

Water ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 959
Author(s):  
Benjamin Clark ◽  
Ruth DeFries ◽  
Jagdish Krishnaswamy

As part of its nationally determined contributions as well as national forest policy goals, India plans to boost tree cover to 33% of its land area. Land currently under other uses will require tree-plantations or reforestation to achieve this goal. This paper examines the effects of converting cropland to tree or forest cover in the Central India Highlands (CIH). The paper examines the impact of increased forest cover on groundwater infiltration and recharge, which are essential for sustainable Rabi (winter, non-monsoon) season irrigation and agricultural production. Field measurements of saturated hydraulic conductivity (Kfs) linked to hydrological modeling estimate increased forest cover impact on the CIH hydrology. Kfs tests in 118 sites demonstrate a significant land cover effect, with forest cover having a higher Kfs of 20.2 mm hr−1 than croplands (6.7mm hr−1). The spatial processes in hydrology (SPHY) model simulated forest cover from 2% to 75% and showed that each basin reacts differently, depending on the amount of agriculture under paddy. Paddy agriculture can compensate for low infiltration through increased depression storage, allowing for continuous infiltration and groundwater recharge. Expanding forest cover to 33% in the CIH would reduce groundwater recharge by 7.94 mm (−1%) when converting the average cropland and increase it by 15.38 mm (3%) if reforestation is conducted on non-paddy agriculture. Intermediate forest cover shows however shows potential for increase in net benefits.


Biotropica ◽  
2021 ◽  
Author(s):  
Klécia Gili Massi ◽  
Chesterton Ulysses Orlando Eugênio ◽  
Augusto César Franco ◽  
William A. Hoffmann

2020 ◽  
Vol 3 (1) ◽  
pp. 78
Author(s):  
Francis Oloo ◽  
Godwin Murithi ◽  
Charlynne Jepkosgei

Urban forests contribute significantly to the ecological integrity of urban areas and the quality of life of urban dwellers through air quality control, energy conservation, improving urban hydrology, and regulation of land surface temperatures (LST). However, urban forests are under threat due to human activities, natural calamities, and bioinvasion continually decimating forest cover. Few studies have used fine-scaled Earth observation data to understand the dynamics of tree cover loss in urban forests and the sustainability of such forests in the face of increasing urban population. The aim of this work was to quantify the spatial and temporal changes in urban forest characteristics and to assess the potential drivers of such changes. We used data on tree cover, normalized difference vegetation index (NDVI), and land cover change to quantify tree cover loss and changes in vegetation health in urban forests within the Nairobi metropolitan area in Kenya. We also used land cover data to visualize the potential link between tree cover loss and changes in land use characteristics. From approximately 6600 hectares (ha) of forest land, 720 ha have been lost between 2000 and 2019, representing about 11% loss in 20 years. In six of the urban forests, the trend of loss was positive, indicating a continuing disturbance of urban forests around Nairobi. Conversely, there was a negative trend in the annual mean NDVI values for each of the forests, indicating a potential deterioration of the vegetation health in the forests. A preliminary, visual inspection of high-resolution imagery in sample areas of tree cover loss showed that the main drivers of loss are the conversion of forest lands to residential areas and farmlands, implementation of big infrastructure projects that pass through the forests, and extraction of timber and other resources to support urban developments. The outcome of this study reveals the value of Earth observation data in monitoring urban forest resources.


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