scholarly journals Land development pressure on peri-urban forests: A case study in the Regional Municipality of York

2000 ◽  
Vol 76 (2) ◽  
pp. 247-250 ◽  
Author(s):  
D. Puric-Mladenovic ◽  
W. A. Kenney ◽  
F. Csillag
Keyword(s):  
Remote Sensing ◽  
Key Words ◽  
Forest Fragmentation ◽  
Patch Size ◽  
Forest Cover ◽  
Land Development ◽  
High Rate ◽  
Forest Patches ◽  
Key Words Development

Forests patches and forest fragmentation were quantified for seven area municipalities within the Regional Municipality of York for the period from 1975 to 1988. This quantification made it possible to determine the extent of forest changes in space and time. In 1988, forest cover shrank to 30%–50% of its 1975 extent. At the same time, the number of forest patches doubled or tripled and mean patch size and the area of interior (based on a 100 m wide edge) declined indicating a high rate of forest fragmentation. Key words: development, fragmentation, remote sensing, forest

scholarly journals Spatial Analysis of the Drivers, Characteristics, and Effects of Forest Fragmentation

2021 ◽  
Vol 13 (6) ◽  
pp. 3246
Author(s):  
Zoe Slattery ◽  
Richard Fenner
Keyword(s):  
Forest Fragmentation ◽  
Forest Fires ◽  
Geographical Information ◽  
Agricultural Expansion ◽  
Forest Patches ◽  
Mato Grosso ◽  
Remote Imaging ◽  
Landscape Characteristics ◽  
High Level

Building on the existing literature, this study examines whether specific drivers of forest fragmentation cause particular fragmentation characteristics, and how these characteristics can be linked to their effects on forest-dwelling species. This research uses Landsat remote imaging to examine the changing patterns of forests. It focuses on areas which have undergone a high level of a specific fragmentation driver, in particular either agricultural expansion or commodity-driven deforestation. Seven municipalities in the states of Rondônia and Mato Grosso in Brazil are selected as case study areas, as these states experienced a high level of commodity-driven deforestation and agricultural expansion respectively. Land cover maps of each municipality are created using the Geographical Information System software ArcGIS Spatial Analyst extension. The resulting categorical maps are input into Fragstats fragmentation software to calculate quantifiable fragmentation metrics for each municipality. To determine the effects that these characteristics are likely to cause, this study uses a literature review to determine how species traits affect their responses to forest fragmentation. Results indicate that, in areas that underwent agricultural expansion, the remaining forest patches became more complex in shape with longer edges and lost a large amount of core area. This negatively affects species which are either highly dispersive or specialist to core forest habitat. In areas that underwent commodity-driven deforestation, it was more likely that forest patches would become less aggregated and create disjunct core areas. This negatively affects smaller, sedentary animals which do not naturally travel long distances. This study is significant in that it links individual fragmentation drivers to their landscape characteristics, and in turn uses these to predict effects on species with particular traits. This information will prove useful for forest managers, particularly in the case study municipalities examined in this study, in deciding which species require further protection measures. The methodology could be applied to other drivers of forest fragmentation such as forest fires.

scholarly journals Forest-Cover Increase Does Not Trigger Forest-Fragmentation Decrease: Case Study from the Polish Carpathians

2018 ◽  
Vol 10 (5) ◽  
pp. 1472 ◽  
Author(s):  
Jacek Kozak ◽  
Elżbieta Ziółkowska ◽  
Peter Vogt ◽  
Monika Dobosz ◽  
Dominik Kaim ◽  
...  
Keyword(s):  
Forest Fragmentation ◽  
Forest Cover ◽  
Polish Carpathians

scholarly journals Mining impacts on forest cover change in a tropical forest using remote sensing and spatial information from 2001–2019: A case study of Odisha (India)

2022 ◽  
Vol 302 ◽  
pp. 114067
Author(s):  
Manoranjan Mishra ◽  
Celso Augusto Guimarães Santos ◽  
Thiago Victor Medeiros do Nascimento ◽  
Manoj Kumar Dash ◽  
Richarde Marques da Silva ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Tropical Forest ◽  
Forest Cover ◽  
Spatial Information ◽  
Forest Cover Change ◽  
Mining Impacts

scholarly journals Spatial dynamics of deforestation and forest fragmentation (1930–2013) in Eastern Ghats, India

2014 ◽  
Vol XL-8 ◽  
pp. 637-644 ◽  
Author(s):  
C. Sudhakar Reddy ◽  
C. S. Jha ◽  
V. K. Dadhwal
Keyword(s):  
Spatial Analysis ◽  
Forest Fragmentation ◽  
Forest Cover ◽  
Geographical Area ◽  
Eastern Ghats ◽  
Change Analysis ◽  
Forest Patches ◽  
Evergreen Forests ◽  
Topographical Maps

The tropical forests are the most unique ecosystems for their potential economic value. Eastern Ghats, a phytogeographical region of India has rugged hilly terrain distributed in parts of five states, viz. Odisha, Andhra Pradesh, Telangana, Karnataka and Tamil Nadu. The present study is mainly aimed to analyse the trends in deforestation and its role in forest fragmentation of Eastern Ghats. The long term changes in forest cover with its spatial pattern over time has been assessed by analyzing a set of topographical maps and satellite remote sensing datasets. The multi-source and multi-date mapping has been carried out using survey of India topographical maps (1930's), Landsat MSS (1975 and 1985), IRS 1B LISS-I (1995), IRS P6 AWiFS (2005) and Resourcesat-2 AWiFS (2013) satellite images. The classified spatial data for 1930, 1975, 1985, 1995, 2005 and 2013 showed that the forest cover for the mentioned years are 102213 km<sup>2</sup> (45.6 %), 76630 (34.2 %), 73416 km<sup>2</sup> (32.7 %), 71730 km<sup>2</sup> (32 %), 71305 km<sup>2</sup> (31.8 %) and 71186 km<sup>2</sup> (31.7 %) of the geographical area of Eastern Ghats respectively. A spatial statistical analysis of the deforestation rates and forest cover change were carried out based on distinctive time phases, i.e. 1930&ndash;1975, 1975&ndash;1985, 1985&ndash;1995, 1995&ndash;2005 and 2005&ndash;2013. The spatial analysis was carried out first by segmenting the study area into grid cells of 5 km x 5 km for time series assessment and determining spatial changes in forests. The distribution of loss and gain of forest was calculated across six classes i.e. <1 km<sup>2</sup>, 1&ndash;5 km<sup>2</sup>, 5&ndash;10 km<sup>2</sup>, 10&ndash;15 km<sup>2</sup>, 15&ndash;20 km<sup>2</sup> and >20 km<sup>2</sup>. Landscape metrics were used to quantify spatial variability of landscape structure and composition. The results of study on net rate of deforestation was found to be 0.64 during 1935 to 1975, 0.43 during 1975&ndash;1985, 0.23 during 1985&ndash;1995, 0.06 during 1995&ndash;2005 and 0.02 during 2005&ndash;2013. The number of forest patches increased from 2688 (1930) to 13009 (2013). The largest forest patch in 1930 represents area of 41669 km<sup>2</sup> that has reduced to 27800 km<sup>2</sup> by 2013. Thus, it is evident that there is a substantial reduction in the size of the very large forest patches due to deforestation. According to spatial analysis, among the different land use change drivers, agriculture occupies highest area, followed by degradation to scrub and conversion to orchards. The dominant forest type was dry deciduous which comprises 37192 km<sup>2</sup> (52.2 %) of the total forest area of Eastern Ghats, followed by moist deciduous forest (39.2 %) and semievergreen forest (4.8 %) in 2013. The change analysis showed that the large scale negative changes occurred in deciduous forests and semi-evergreen forests compared to wet evergreen forests due to high economic potential and accessibility. This study has quantified the deforestation that has taken place over the last eight decades in the Eastern Ghats. The decline in overall rate of deforestation in recent years indicates increased measures of conservation. The change analysis of deforestation and forest fragmentation provides a decisive component for conservation and helpful in long term management of forests of Eastern Ghats.

scholarly journals Framework for Spatial and Temporal Monitoring of Urban Forest and Vegetation Conditions: Case Study Zagreb, Croatia

2021 ◽  
Vol 13 (11) ◽  
pp. 6055
Author(s):  
Andrija Krtalić ◽  
Dario Linardić ◽  
Renata Pernar
Keyword(s):  
Remote Sensing ◽  
Forest Cover ◽  
Urban Forest ◽  
Vegetation Indices ◽  
Field Measurements ◽  
Unsupervised Classification ◽  
Health Status Indicators ◽  
Urban Ecosystem ◽  
Management Decision

Urban forest and vegetation conditions are an important variable in urban ecosystem management decision-making. However, it is difficult to evaluate and monitor solely on the basis of field measurements. Remote sensing technologies can greatly contribute to the faster extraction and mapping of vegetation health status indicators, on the basis of which agronomy and forestry experts can draw conclusions about the condition of urban vegetation in larger areas. A new remote sensing-based urban forest and vegetation cover monitoring framework is presented and applied to a case study of the city of Zagreb, Croatia. In this study, Sentinel-2 multi-temporal imagery was used to derive and analyze the current state of urban forest cover. Vegetation indices (NDVI, RVI, and GRVI) were calculated. K-means unsupervised classification of the vegetation indices was conducted. In this way, the dimensionality of the vegetation indices was reduced, while all the data contained in it were used to represent their graded values. Vegetation that was in a poor condition stood out better that way. Finally, PCA-based change detection was performed on the vegetation indices graded values, and a map of change was produced. These results need to be interpreted and validated by foresters and agronomists in further research.

scholarly journals Variação espacial da temperatura de superfície: estudo de caso de dois episódios no município de Viana, Espírito Santo, Brasil, em 2019

GeoTextos ◽  
2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Fabricio Holanda do Nascimento ◽  
Amanda Fernandes Silva
Keyword(s):  
Remote Sensing ◽  
Urban Areas ◽  
Satellite Images ◽  
Forest Cover ◽  
Espírito Santo ◽  
Heat Conservation ◽  
Remote Sensing Techniques ◽  
Espirito Santo ◽  
Land Use And Cover

<p>Esta pesquisa tem o objetivo de identificar e analisar a variação das temperaturas de superfície do Município de Viana, Espírito Santo, Brasil, por meio de técnicas de Sensoriamento Remoto, em dois episódios, chuvoso e seco, de 2019, bem como relacionar as classes de temperatura com o uso e a cobertura do solo e a morfologia do terreno. Para tanto, foram feitos levantamentos bibliográficos entre livros, teses, dissertações e artigos científicos que discorrem sobre os principais conceitos aqui tratados (Clima, Climatologia Geográfica, Sensoriamento Remoto, Sistemas de Informações Geográficas etc.), aquisição de bases cartográficas (vetoriais e raster) para a elaboração dos mapas e para aplicação de recursos técnicos de geoprocessamento de imagens de satélite. Os resultados mostraram diferenças significativas na variação das temperaturas, mais elevadas nas áreas urbanas comparativamente às áreas de agricultura/pastagens (8°C) e providas de cobertura florestal (9,5°C), tanto no verão quanto no inverno, associadas às propriedades diferenciadas quanto à produção, à propagação e à conservação de calor no ambiente.</p><p><span>Abstract</span></p><p>SPATIAL VARIATION OF SURFACE TEMPERATURE: CASE STUDY OF TWO EPISODES IN THE MUNICIPALITY OF VIANA, ESPÍRITO SANTO, BRAZIL, IN 2019</p><p>This research aims to identify and analyze the variation in surface temperatures in the municipality of Viana, Espírito Santo, Brazil, using Remote Sensing techniques, in two episodes, rainy and dry 2019, as well as to relate the temperature classes with the land use and cover and the terrain morphology. To this end, bibliographical surveys were made between books, theses, dissertations and scientific articles that discuss the main concepts treated here (Clima, Geographic Climatology, Remote Sensing, Geographic Information Systems, etc.), acquisition of cartographic bases (vector and raster) for the preparation of maps and for the application of technical resources for geoprocessing satellite images. The results showed significant differences in the variation of higher temperatures in urban areas compared to areas of agriculture / pasture (8°C) and provided with forest cover (9.5°C) both in summer and in winter associated with different properties as to production, propagation and heat conservation in the environment.</p>

scholarly journals Different response of the taxonomic, phylogenetic and functional diversity of birds to forest fragmentation

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Michał Bełcik ◽  
Magdalena Lenda ◽  
Tatsuya Amano ◽  
Piotr Skórka
Keyword(s):  
Habitat Fragmentation ◽  
Forest Fragmentation ◽  
Functional Diversity ◽  
Phylogenetic Diversity ◽  
Patch Size ◽  
Bird Species ◽  
Taxonomic Diversity ◽  
Forest Stand ◽  
Large Set ◽  
Forest Patches

AbstractHabitat fragmentation is considered as major threat to biodiversity worldwide. Biodiversity can be described as taxonomic, functional and phylogenetic diversity. However, the effect of forest fragmentation on taxonomic, phylogenetic and functional diversity is barely understood. We compare the response of taxonomic (species richness), phylogenetic and functional diversity of birds to forest fragmentation. We hypothesised that with increasing forest patch isolation and/or decreasing patch size the diversity of birds decreases but only if certain thresholds of fragmentation metrics are reached. Specifically, we hypothesized that out of the three diversity components the taxonomic diversity is the most sensitive to forest fragmentation, which means that it starts declining at larger patch size and higher connectivity values than phylogenetic and functional diversity do. We compared the three biodiversity metrics of central European bird species in a large set of forest patches located in an agricultural landscape. General additive modeling and segmented regression were used in analyses. Habitat fragmentation differentially affected studied biodiversity metrics. Bird taxonomic diversity was the most responsive towards changes in fragmentation. We observed an increase in taxonomic diversity with increasing patch area, which then stabilized after reaching certain patch size. Functional diversity turned out to be the least responsive to the fragmentation metrics and forest stand characteristics. It decreased linearly with the decreasing isolation of forest patches. Apart from the habitat fragmentation, bird taxonomic diversity but not phylogenetic diversity was positively associated with forest stand age. The lower share of dominant tree species, the highest taxonomic diversity was. While preserving a whole spectrum of forests (in terms of age, fragmentation and size) is important from the biodiversity perspective, forest bird species might need large, intact, old-growth forests. Since the large and intact forest becomes scarcer, our study underscore their importance for the preservation of forest specialist species.

Sign in / Sign up

Export Citation Format

Share Document