Assessing an Imperiled Oak Savanna Landscape in Northwestern Ohio using Landsat Data

Schetter, Timothy A.; Root, Karen V.

doi:10.3375/043.031.0204

Cited by 25 publications

(35 citation statements)

References 21 publications

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“…The classification accuracy values for both 2000 ((71%) and 2014 (74%) were lower than the 85% overall accuracy threshold used by the United States Geological Survey to determine acceptability (Chai et al, 2009). Nonetheless, the accuracy values of both 2000 and 2014 were similar to that reported in other savannas (Ruelland et al, 2010;Schetter and Root, 2011). The lower accuracy of mapping could be as a result of the heterogeneity of forest patches which according to Ruelland et al (2010) is difficult to detect in the savanna matrix by using medium resolution satellite image such as Landsat.…”

Section: Landcover Map Accuraciesmentioning

confidence: 55%

Threat of agricultural production on woody plant diversity in Tankwidi riparian buffer in the Sudanian Savanna of Ghana

Boakye¹,

Hyppolite²,

Barnes³

et al. 2015

Int. J. Biodivers. Conserv.

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Riparian forest buffers (RF) are integrative part of the savanna agricultural landscape. However, they are under threat of deforestation from agricultural intensification. To ascertain the impact of the deforestation, this study used remote sensing techniques and field inventorying to assess riparian woody plant diversity on farmland (FA) and forest reserve (FR) along Tankwidi rivercourse in the Sudanian savanna of Ghana. Post-classification analysis of Landsat images revealed a reduction in forest cover from 1986 (23%) to 2014 (7%) in the river basin. Ground survey of sixty randomly selected plots (500 m 2 per plot) equally divided between FA and FR along the river in a 50 m buffer zone showed a reduction in the number of woody species (diameter ≥ 5 cm) from FR (40) to FA (19). Anogeissus leiocarpus and Mitragyna inermis were the most abundant species in both FR and FA. Shannon-Wiener Index for species diversity reduced from FR (2.5±0.09) to FA (1.8±0.14). Within FR, there were more species (58%) in the lower diameter class (5 to 15 cm) than the higher diameter classes (15 to 50 cm) suggesting successful regeneration. The reverse was observed in FA where the individuals in the lower diameter class were fewer (26%) than the higher diameter classes. Reduction in species density from FR (355±21) to FA (146±11) will increase the surface exposure of the riparian area in farmland to heighten risks to climate disasters such as fires and flooding. Managing the risks will not be possible unless a conscious effort is made to educate farmers on the roles of RF, replanted to enhance diversity or riparian buffer excluded from farming for vegetation recovery.

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Section: Landcover Map Accuraciesmentioning

confidence: 55%

Threat of agricultural production on woody plant diversity in Tankwidi riparian buffer in the Sudanian Savanna of Ghana

Boakye¹,

Hyppolite²,

Barnes³

et al. 2015

Int. J. Biodivers. Conserv.

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“…(sundews) and Opuntia spp. (prickly pear cacti) within a few km of one another; however, less than 1% of the original habitat remains (Brewer and Vankat 2004;Schetter and Root 2011). Much of the remaining area is now preserved and managed by the Metroparks of the Toledo Area, The Nature Conservancy, and the Ohio Department of Natural Resources.…”

Section: Study Areasmentioning

confidence: 97%

Seedling Recruitment and Establishment ofLupinus perennisin a Mixed-Management Landscape

Plenzler

2015

Natural Areas Journal

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“…The original landcover map for the Oak Openings Region was developed by Schetter and Root (2011) using 30 m pixel Landsat data and contains a total of 15 different land classes, including asphalt, turf, residential, swamp, floodplain and upland forest, savanna, wet prairie, prairie, barren, meadow, shrub/scrub, conifer, crop and pond. We excluded wet prairie, barren, shrub/scrub and conifer cover in further analysis due to their low sample size and relatively low frequency within the Oak Openings Region.…”

Section: Macrohabitat Characteristicsmentioning

confidence: 99%

Developing macrohabitat models for bats in parks using maxent and testing them with data collected by citizen scientists

Buckman-Sewald¹,

Whorton²,

Root³

2014

Int. J. Biodivers. Conserv.

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Protected areas may function as islands of habitat in otherwise adverse environments for many species of North American animals. It is currently unclear how to maintain suitable foraging habitat for bats within these areas. Bats are nocturnal and highly mobile, making their specific needs difficult to determine. Using data collected from acoustically surveyed sites within protected areas in the Oak Openings Region of Northwest Ohio, a biodiversity hotspot, we developed spatially explicit macrohabitat models using maximum entropy modeling (Maxent). We then used data collected by citizen scientists to test these models to determine their success in predicting species presence. We found that the models were successful (AUC values > 0.75) at predicting the occurrence of the seven species for which models were developed, Lasionycteris noctivagans, Lasiurus borealis, Lasiuruscinereus, Myotis lucifugus, Myotiss eptentrionalis, Nycticeius humeralis, and Perimyotis subflavus. Within protected areas, it is important to manage for heterogeneous habitat composition at this intermediate scale to maintain potential for foraging areas for all occurring bat species. Data collected by citizen scientists is useful to test spatially explicit models and can potentially be used to monitor long term changes in bat species composition in these systems and across regions.

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Assessing an Imperiled Oak Savanna Landscape in Northwestern Ohio using Landsat Data

Cited by 25 publications

References 21 publications

Threat of agricultural production on woody plant diversity in Tankwidi riparian buffer in the Sudanian Savanna of Ghana

Threat of agricultural production on woody plant diversity in Tankwidi riparian buffer in the Sudanian Savanna of Ghana

Seedling Recruitment and Establishment ofLupinus perennisin a Mixed-Management Landscape

Developing macrohabitat models for bats in parks using maxent and testing them with data collected by citizen scientists

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