Conservation of an Ant-plant Mutualism in Native Forests and Ecologically-managed Tree Monocultures

Biotropica ◽  
2013 ◽  
Vol 45 (4) ◽  
pp. 520-527 ◽  
Author(s):  
Mônica F. Kersch-Becker ◽  
Sandra R. Buss ◽  
Carlos R. Fonseca
Keyword(s):  
Native Forests

Risk and pathway assessment for the introduction of exotic insects and pathogens that could affect Hawai'i's native forests

2015 ◽  
Author(s):  
Gregg A. DeNitto ◽  
Philip Cannon ◽  
Andris Eglitis ◽  
Jessie A. Glaeser ◽  
Helen Maffei ◽  
...  
Keyword(s):  
Native Forests ◽  
Exotic Insects

Bat boxes in urban non-native forests: a popular practice that should be reconsidered

2016 ◽  
Vol 20 (1) ◽  
pp. 217-225 ◽  
Author(s):  
Adrià López-Baucells ◽  
Xavier Puig-Montserrat ◽  
Ignasi Torre ◽  
Lídia Freixas ◽  
Maria Mas ◽  
...  
Keyword(s):  
Native Forests

Timber investment returns for selected plantations and native forests in South America and the Southern United States

New Forests ◽  
2006 ◽  
Vol 33 (3) ◽  
pp. 237-255 ◽  
Author(s):  
Frederick Cubbage ◽  
Patricio Mac Donagh ◽  
José Sawinski Júnior ◽  
Rafael Rubilar ◽  
Pablo Donoso ◽  
...  
Keyword(s):  
United States ◽  
South America ◽  
Southern United States ◽  
Native Forests ◽  
Investment Returns

scholarly journals Assesment of soil erosion by 137Cs technique in native forests in Londrina City, Parana, Brazil

2007 ◽  
Vol 50 (6) ◽  
pp. 1051-1060 ◽  
Author(s):  
Avacir Casanova Andrello ◽  
Carlos Roberto Appoloni ◽  
Virgílio Franco do Nascimento Filho
Keyword(s):  
Soil Erosion ◽  
Soil Loss ◽  
Balance Model ◽  
Native Forest ◽  
Mass Balance Model ◽  
Erosion Process ◽  
137Cs Inventory ◽  
Native Forests ◽  
137Cs Distribution ◽  
137Cs Technique

The aim of this work was to assess the soil erosion process in native forest by the 137Cs methodology. The mass balance model was applied to assess the rates of soil loss in three native forests around of Londrina city, Paraná, Brazil. 137Cs distribution depth was of exponential type for the three forests and 137Cs inventory was 241 Bq m-2 for Mata 1, 338 Bq m-2 for Mata 2 and 325 Bq m-2 for Mata UEL. The soil loss value calculated for three native forests was: 6,684 kg ha-1 yr-1 for Mata 1, 1,788 kg ha-1 yr-1 for Mata 2 and 4,524 kg ha-1 yr-1 for Mata UEL.

scholarly journals How to Become a Mushroom: A New Nature Ethnography of Fungi in Aotearoa

2021 ◽  
Author(s):  
◽  
Alice Nicholls
Keyword(s):  
New Zealand ◽  
West Coast ◽  
Nature Writing ◽  
The West ◽  
Multispecies Ethnography ◽  
Ethnographic Fieldwork ◽  
Native Forests ◽  
Transformative Potential ◽  
The Moment

<p>This thesis proposes that the moment of interaction between a person and a fungus is transformative of both subjects. Using new nature writing techniques in tandem with multispecies ethnography, this thesis seeks to present a rich, autoethnographic account of my encounters with fungi in the native forests of the West Coast of Aotearoa. Drawing on five days of ethnographic fieldwork spent at the Fungal Network of New Zealand (FUNNZ) annual Fungal Foray in the township of Moana, I explore the affective, emotional, sensory, intellectual, and corporeal experiences of interacting with fungi. Using new nature writing as an ethnographic medium, I suggest that narratives that pertain to the researcher’s experiences can render new understandings of nonhuman subjects. In doing so, I explore both the transformative potential of multispecies encounters for the researcher and the researched, and the literary potential of multispecies ethnography to illustrate the encounters themselves.</p>

scholarly journals Identifying woody vegetation on coal surface mines using phenological indicators with multitemporal Landsat imagery

2014 ◽  
Vol XL-1 ◽  
pp. 339-345 ◽  
Author(s):  
A. J. Oliphant ◽  
J. Li ◽  
R. H. Wynne ◽  
P. F. Donovan ◽  
C. E. Zipper
Keyword(s):  
Land Cover ◽  
Growing Season ◽  
Forest Recovery ◽  
Support Vector ◽  
Landsat 8 ◽  
Coal Surface ◽  
Ecosystem Recovery ◽  
Surface Mines ◽  
Autumn Olive ◽  
Native Forests

Surface mining for coal has disturbed large land areas in the Appalachian Mountains. Better information on mined lands' ecosystem recovery status is necessary for effective environmental management in mining-impacted regions. Because record quality varies between state mining agencies and much mining occurred prior to widespread use of geospatial technologies, accurate maps of mining extents, durations, and land cover effects are often not available. Landsat data are well suited to mapping and characterizing land cover and forest recovery on former coal surface mines. Past mine reclamation techniques have often failed to restore premining forest vegetation but natural processes may enable native forests to re-establish on mined areas with time. However, the invasive species autumn olive (Elaeagnus umbellate) is proliferating widely on former coal surface mines, often inhibiting reestablishment of native forests. Autumn olive outcompetes native vegetation because it fixes atmospheric nitrogen and benefits from a longer growing season than native deciduous trees. This longer growing season, along with Landsat 8's high signal to noise ratio, has enabled species-level classification of autumn olive using multitemporal Landsat 8 data at accuracy levels usually only obtainable using higher spatial or spectral resolution sensors. We have used classification and regression tree (CART<sup>®</sup>) and support vector machine (SVM) to classify five counties in the coal mining region of Virginia for presence and absence of autumn olive. The best model found was a CART<sup>®</sup> model with 36 nodes which had an overall accuracy of 84% and kappa of 0.68. Autumn olive had conditional kappa of 0.65 and a producers and users accuracy of 86% and 83% respectively. The best SVM model used a second order polynomial kernel and had an overall accuracy of 77%, an overall kappa of 0.54 and a producers and users accuracy of 60% and 90% respectively.

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