Landscape Analysis to Assess the Impact of Development Projects on Forests

Choi, Jaeyong; Lee, Sanghyuk; Ji, Seung Yong; Jeong, Jong-Chul; Lee, Peter Sang-Hoon

doi:10.3390/su8101012

Cited by 8 publications

(6 citation statements)

References 37 publications

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“…A one-way analysis of variance (ANOVA) test was done with the NUMP [33]. This method of analysis was chosen following a study of similar direction [33].…”

Section: Discussionmentioning

confidence: 99%

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Analysis of the Habitat Fragmentation of Ecosystems in Belize Using Landscape Metrics

2020

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Landscape metrics have been of game changing importance in the analysis of ecosystems' composition and landscape cohesion. With the increasing urban and agricultural expansion, the natural flora and fauna of many highly diverse areas have been degraded. Fragmentation of ecosystems and habitats have stressed the biodiversity of Belize. To understand the dynamics of this change, a study was conducted using three moderately separate years of ecosystem landscape data. The metrics used for the analysis were area-weighted mean shape index (AWMSI), mean shape index (MSI), edge density (ED), mean patch size (MPS), number of patches (NUMP), and class area (CA). These metrics were produced for the years 2001, 2011, and 2017. The classes of agricultural use, lowland savannas, mangroves and littoral forests, urban, and wetlands were the subjects for analysis. Using the GIS extension Patch Analyst, parametric runs were performed. From these results, a one-way ANOVA test of the NUMP, Tukey HSD test, and Scheffé Multiple Comparison test were performed. The results indicate that there has been significant habitat fragmentation, especially from the years 2001 to 2011. Agricultural areas increased by 19.37% in just 10 years, with the NUMP of some habitats increasing by 284%. The results also show fluctuation in ED and a decrease in overall MPS, all indicating high fragmentation. These changes have been mostly induced due to the expansion of agricultural activities and urbanization, especially in the northern parts of Belize. It is imperative that additional policies be implemented to deter the effects of habitat fragmentation upon the existing ecosystems of Belize and elsewhere.

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“…A one-way analysis of variance (ANOVA) test was done with the NUMP [33]. This method of analysis was chosen following a study of similar direction [33].…”

Section: Discussionmentioning

confidence: 99%

“…A one-way analysis of variance (ANOVA) test was done with the NUMP [33]. This method of analysis was chosen following a study of similar direction [33]. The NUMP was chosen as the primary source of data for the ANOVA since it is the most indicative metric relative to fragmentation.…”

Section: Discussionmentioning

confidence: 99%

Analysis of the Habitat Fragmentation of Ecosystems in Belize Using Landscape Metrics

2020

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“…Both traditional agricultural landscapes [7][8][9], urban and industrial [10][11][12][13], have undergone strong transformations, as well as landscapes with high value for tourists [14,15]. Changes in forest landscapes and those in the immediate vicinities of forests [16][17][18][19] are particularly noticeable. The results of palaeoenvironmental studies [20], used also as primary source for the reconstruction of forest cover [21], have more and more often become the starting point for research on long-term landscape changes.…”

Section: Introductionmentioning

confidence: 99%

Forest Landscape Change and Preliminary Study on Its Driving Forces in Ślęża Landscape Park (Southwestern Poland) in 1883–2013

2018

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Changes in forest landscapes have been connected with human activity for centuries and can be considered one of the main driving forces of change from a global perspective. The spatial distribution of forests changes along with the geopolitical situation, demographic changes, intensification of agriculture, urbanization, or changes in land use policy. However, due to the limited availability of historical data, the driving forces of changes in forest landscapes are most often considered in relation to recent decades, without taking long-term analyses into account. The aim of this paper is to determine the level and types of landscape changes and make preliminary study on natural and socio-economic factors on changes in forest landscapes within the protected area, Slęża Landscape Park, and its buffer zone using long-term analyses covering a period of 140 years . A comparison of historical and current maps and demographic data related to three consecutive periods of time as well as natural and location factors by using the ArcGIS software allows the selected driving forces of forest landscape transformations to be analyzed. We took into account natural factors such as the elevation, slope, and exposure of the hillside and socio-economic drivers like population changes, distances to centers of municipalities, main roads, and built-up areas.

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“…To investigate the relationship between urban forest and PM measurement in the vicinity of them, the sizes of urban forest in proximity of each of the monitoring stations were computed. To do so, the influence area of urban forests was defined in landscape metrics based on the approach developed by Choi et al [28]; at each sample site, domains were designed by the three given distances from the location of each monitoring station: 1 km, 500 m, and 300 m in radius, which form circular areas called "buffer" in this study.…”

Section: Urban Forest Buffermentioning

confidence: 99%

Relationship between Remotely Sensed Ambient PM10 and PM2.5 and Urban Forest in Seoul, South Korea

Park

Lee

2020

Forests

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Currently particulate matter (PM) is one of the major threats to public health and safety in urban areas such as Seoul, South Korea. The limited amount of air-quality monitoring systems may not provide sufficient data or coverage, in particular on the spots of urban forest. Considering urban forest as a possible contributor to mitigate PM in an urban area, this study investigated the relationship between the size and topography of urban forests near the air-quality monitoring stations and PM measurements from those stations. The average of PM measurements during the study period of August 2017 to July 2019 was computed into three different domains by using three concentric buffers from 25 monitoring stations distributed across Seoul. To estimate PM concentrations, multiple linear regression models were developed by using satellite-borne multi-spectral band data retrieved from Moderate Resolution Imaging Spectroradiometer onboard Terra (MODIS) and Landsat 8 in conjunction with meteorological data sets. Overall, PM10 and PM2.5 measurements significantly varied with season and tended to be lower with large urban forests than small ones by 5.3% for PM10 and 4.8% for PM2.5. Overall, PM10 and PM2.5 measurements were lower at the domains encompassing high urban forests in elevation than those of relatively flattened forests by 9.1% for PM10 and 3.9% for PM2.5. According to the findings from this study, the topographical difference among urban forests could exert a more significant influence on PM mitigation. The result from correlation analysis between the PM estimates from Landsat 8-based models and ground-based PM measurements was considered reliable based on Pearson’s coefficients of 0.21 to 0.74 for PM10 and −0.33 to 0.74 for PM2.5. It was considered that using a satellite imagery-derived PM model could be effective to manage urban forest over a large area which in general implies the limitation of data collection.

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Landscape Analysis to Assess the Impact of Development Projects on Forests

Cited by 8 publications

References 37 publications

Analysis of the Habitat Fragmentation of Ecosystems in Belize Using Landscape Metrics

Analysis of the Habitat Fragmentation of Ecosystems in Belize Using Landscape Metrics

Forest Landscape Change and Preliminary Study on Its Driving Forces in Ślęża Landscape Park (Southwestern Poland) in 1883–2013

Relationship between Remotely Sensed Ambient PM10 and PM2.5 and Urban Forest in Seoul, South Korea

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