scholarly journals Diversity of Medicinal Plants among Different Tree Canopies

2021 ◽  
Vol 13 (5) ◽  
pp. 2640
Author(s):  
Muhammad Zubair ◽  
Akash Jamil ◽  
Syed Bilal Hussain ◽  
Ahsan Ul Haq ◽  
Ahmad Hussain ◽  
...  
Keyword(s):  
Medicinal Plants ◽  
Coniferous Forest ◽  
Canopy Cover ◽  
Local Communities ◽  
Tree Canopy ◽  
Tree Cover ◽  
Open Spaces ◽  
Floral Diversity ◽  
Tree Canopy Cover ◽  
Closed Canopy

The moist temperate forests in Northern Pakistan are home to a variety of flora and fauna that are pivotal in sustaining the livelihoods of the local communities. In these forests, distribution and richness of vegetation, especially that of medicinal plants, is rarely reported. In this study, we carried out a vegetation survey in District Balakot, located in Northeastern Pakistan, to characterize the diversity of medicinal plants under different canopies of coniferous forest. The experimental site was divided into three major categories (viz., closed canopy, open spaces, and partial tree cover). A sampling plot of 100 m2 was established on each site to measure species diversity, dominance, and evenness. To observe richness and abundance, the rarefaction and rank abundance curves were plotted. Results revealed that a total of 45 species representing 34 families were available in the study site. Medicinal plants were the most abundant (45%) followed by edible plants (26%). Tree canopy cover affected the overall growth of medicinal plants on the basis of abundance and richness. The site with partial canopy exhibited the highest diversity, dominance, and abundance compared to open spaces and closed canopy. These findings are instrumental in identifying the wealth of the medicinal floral diversity in the northeastern temperate forest of Balakot and the opportunity to sustain the livelihoods of local communities with the help of public/private partnership.

scholarly journals An Assessment of Global Forest Change Datasets for National Forest Monitoring and Reporting

2020 ◽  
Vol 12 (11) ◽  
pp. 1790 ◽  
Author(s):  
Nikolaos Galiatsatos ◽  
Daniel N.M. Donoghue ◽  
Pete Watt ◽  
Pradeepa Bholanath ◽  
Jeffrey Pickering ◽  
...  
Keyword(s):  
Reference Data ◽  
Canopy Cover ◽  
Tree Canopy ◽  
Tree Cover ◽  
Forest Loss ◽  
National Forest ◽  
Forest Change ◽  
Tree Canopy Cover ◽  
Definition Of ◽  
Year 2000

Global Forest Change datasets have the potential to assist countries with national forest measuring, reporting and verification (MRV) requirements. This paper assesses the accuracy of the Global Forest Change data against nationally derived forest change data by comparing the forest loss estimates from the global data with the equivalent data from Guyana for the period 2001–2017. To perform a meaningful comparison between these two datasets, the initial year 2000 forest state needs first to be matched to the definition of forest land cover appropriate to a local national setting. In Guyana, the default definition of 30% tree cover overestimates forest area is by 483,000 ha (18.15%). However, by using a tree canopy cover (i.e., density of tree canopy coverage metric) threshold of 94%, a close match between the Guyana-MRV non-forest area and the Global Forest Change dataset is achieved with a difference of only 24,210 ha (0.91%) between the two maps. A complimentary analysis using a two-stage stratified random sampling design showed the 94% tree canopy cover threshold gave a close correspondence (R2 = 0.98) with the Guyana-MRV data, while the Global Forest Change default setting of 30% tree canopy cover threshold gave a poorer fit (R2 = 0.91). Having aligned the definitions of forest for the Global Forest Change and the Guyana-MRV products for the year 2000, we show that over the period 2001–2017 the Global Forest Change data yielded a 99.34% overall Correspondence with the reference data and a 94.35% Producer’s Accuracy. The Guyana-MRV data yielded a 99.36% overall Correspondence with the reference data and a 95.94% Producer’s Accuracy. A year-by-year analysis of change from 2001–2017 shows that in some years, the Global Forest Change dataset underestimates change, and in other years, such as 2016 and 2017, change is detected that is not forest loss or gain, hence the apparent overestimation. The conclusion is that, when suitably calibrated for percentage tree cover, the Global Forest Change datasets give a good first approximation of forest loss (and, probably, gains). However, in countries with large areas of forest cover and low levels of deforestation, these data should not be relied upon to provide a precise annual loss/gain or rate of change estimate for audit purposes without using independent high-quality reference data.

scholarly journals Bird Diversity Unconsciously Increases People’s Satisfaction with Where They Live

Land ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 153
Author(s):  
Lauren Hepburn ◽  
Adam C. Smith ◽  
John Zelenski ◽  
Lenore Fahrig
Keyword(s):  
Urban Areas ◽  
Bird Species ◽  
Canopy Cover ◽  
Bird Community ◽  
Well Being ◽  
Tree Canopy ◽  
Tree Cover ◽  
Bird Diversity ◽  
Neighbourhood Satisfaction ◽  
Tree Canopy Cover

There is growing evidence that exposure to nature increases human well-being, including in urban areas. However, relatively few studies have linked subjective satisfaction to objective features of the environment. In this study we explore the links among objective environmental features (tree cover, water, and bird diversity) and subjective judgements of satisfaction. We surveyed residents of Ottawa, Canada (n = 1035) about their satisfaction with their local neighbourhoods. We then compared the survey responses to measures of nature near their homes, including bird diversity (number of bird species), tree canopy cover, and distance to water. After controlling for effects of income and subjective happiness, residents’ neighbourhood satisfaction was positively related to the number of bird species nearby, even before participants were prompted to consider nature. Residents’ appreciation of their local neigbourhood relative to others also increased with tree canopy cover and nearness to water. Unsolicited comments from participants following the survey indicated that while residents consciously appreciate trees and water, the relationship between bird diversity and neighbourhood satisfaction appears to be unconscious; very few of the participants mentioned birds. Based on these results, we speculate that a diverse local bird community may provoke feelings of satisfaction through their presence, activity, and songs. Our results create a compelling argument for city planners and individual residents to maintain bird-friendly spaces in urban areas.

scholarly journals TREE CANOPY COVER MAPPING USING LiDAR IN URBAN BARANGAYS OF CEBU CITY, CENTRAL PHILIPPINES

2016 ◽  
Vol XLI-B8 ◽  
pp. 611-615
Author(s):  
J. A. Ejares ◽  
R. R. Violanda ◽  
A. G. Diola ◽  
D. T. Dy ◽  
J. B. Otadoy ◽  
...  
Keyword(s):  
Canopy Cover ◽  
The Philippines ◽  
Tree Canopy ◽  
Tree Planting ◽  
Tree Cover ◽  
Kappa Index ◽  
Slope Length ◽  
Object Based ◽  
Tree Canopy Cover ◽  
Length Width

This paper investigates tree canopy cover mapping of urban barangays (smallest administrative division in the Philippines) in Cebu City using LiDAR (Light Detection and Ranging). Object-Based Image Analysis (OBIA) was used to extract tree canopy cover. Multi-resolution segmentation and a series of assign-class algorithm in eCognition software was also performed to extract different land features. Contextual features of tree canopies such as height, area, roundness, slope, length-width and elliptic fit were also evaluated. The results showed that at the time the LiDAR data was collected (June 24, 2014), the tree cover was around 25.11&thinsp;% (or 15,674,341.8 m<sup>2</sup>) of the city’s urban barangays (or 62,426,064.6 m<sup>2</sup>). Among all urban barangays in Cebu City, Barangay Busay had the highest cover (55.79&thinsp;%) while barangay Suba had the lowest (0.8&thinsp;%). The 16 barangays with less than 10&thinsp;% tree cover were generally located in the coastal area, presumably due to accelerated urbanization. Thirty-one barangays have tree cover ranging from 10.59&ndash;-27.3&thinsp;%. Only 3 barangays (i.e., Lahug, Talamban, and Busay) have tree cover greater than 30&thinsp;%. The overall accuracy of the analysis was 96.6&thinsp;% with the Kappa Index of Agreement or KIA of 0.9. From the study, a grouping can be made of the city’s urban barangays with regards to tree cover. The grouping will be useful to urban planners not only in allocating budget to the tree planting program of the city but also in planning and creation of urban parks and playgrounds.

scholarly journals Trade-off of Tree Conservation and Crop Production on Agroforestry Parklands in Burkina Faso

2019 ◽  
Vol 7 (1) ◽  
pp. 41
Author(s):  
Tiga Neya ◽  
Akwasi. A. Abunyewa ◽  
Oblé Neya ◽  
Daniel Callo-Concha
Keyword(s):  
Burkina Faso ◽  
Crop Production ◽  
Canopy Cover ◽  
Tree Canopy ◽  
Tree Cover ◽  
Trade Off ◽  
Tree Canopy Cover ◽  
Agroforestry Parkland ◽  
The Mean ◽  
Individual Trees

Rapid population growth coupled with food demand make land for agriculture scarcer obliging farmers to make use of any available piece of land at their disposal for crops production. This preferential use of land for crops production may appear to be competitive with tree keeping on farm. To elucidate that, the trade-off between crop production and tree conservation on farms was assessed in Bouroum-Bourmoum, Sapouy and Ouahigouya, three municipalities of Burkina Faso. More than 3 000 individual trees which spreading was 1 154 in Bouroum-Bourom, 884 in Ouahigouya and 1 054 in Sapouy were used. The mean tree canopy cover and tree cover in the farms were calculated. The three principal crops (millet, red sorghum and white sorghum) yield were used to estimate the trade-off using the mean tree canopy cover as the potential no cropping area. The results revealed a tree canopy cover of 66.25 m2 in Bouroum-Bourom, 59.92 m2 in Sapouy and 42.1 m2 in Ouahigouya. The average tree cover was 23.99% in Bouroum-Bouroum, 18.23% in Sapouy and 14.88% in Ouahigouya. This represents a loss in grain production of 109.5 kg/ha in Bouroum-Bouroum, 247.6 kg/ha in Sapouy and 252.8kg/ha in Ouahigouya. A higher tree cover implies a higher trade-off in the agroforestry parkland and suggests reduction in tree density. There is urgent need to work out the balance between smallholders’ farmer continuous requirement for increase food crop production and the need to maintain tree diversity in the farm for carbon credit payment promotion.

scholarly journals TREE CANOPY COVER MAPPING USING LiDAR IN URBAN BARANGAYS OF CEBU CITY, CENTRAL PHILIPPINES

2016 ◽  
Vol XLI-B8 ◽  
pp. 611-615 ◽  
Author(s):  
J. A. Ejares ◽  
R. R. Violanda ◽  
A. G. Diola ◽  
D. T. Dy ◽  
J. B. Otadoy ◽  
...  
Keyword(s):  
Canopy Cover ◽  
The Philippines ◽  
Tree Canopy ◽  
Tree Planting ◽  
Tree Cover ◽  
Kappa Index ◽  
Slope Length ◽  
Object Based ◽  
Tree Canopy Cover ◽  
Length Width

This paper investigates tree canopy cover mapping of urban barangays (smallest administrative division in the Philippines) in Cebu City using LiDAR (Light Detection and Ranging). Object-Based Image Analysis (OBIA) was used to extract tree canopy cover. Multi-resolution segmentation and a series of assign-class algorithm in eCognition software was also performed to extract different land features. Contextual features of tree canopies such as height, area, roundness, slope, length-width and elliptic fit were also evaluated. The results showed that at the time the LiDAR data was collected (June 24, 2014), the tree cover was around 25.11&thinsp;% (or 15,674,341.8 m&lt;sup&gt;2&lt;/sup&gt;) of the city’s urban barangays (or 62,426,064.6 m&lt;sup&gt;2&lt;/sup&gt;). Among all urban barangays in Cebu City, Barangay Busay had the highest cover (55.79&thinsp;%) while barangay Suba had the lowest (0.8&thinsp;%). The 16 barangays with less than 10&thinsp;% tree cover were generally located in the coastal area, presumably due to accelerated urbanization. Thirty-one barangays have tree cover ranging from 10.59&ndash;-27.3&thinsp;%. Only 3 barangays (i.e., Lahug, Talamban, and Busay) have tree cover greater than 30&thinsp;%. The overall accuracy of the analysis was 96.6&thinsp;% with the Kappa Index of Agreement or KIA of 0.9. From the study, a grouping can be made of the city’s urban barangays with regards to tree cover. The grouping will be useful to urban planners not only in allocating budget to the tree planting program of the city but also in planning and creation of urban parks and playgrounds.

scholarly journals Analisis Kemampuan Ruang Terbuka Hijau Dalam Menyerap Sisa Emisi Karbon (Studi Kasus: Hutan Kota Muhammad Sabki Kota Jambi)

2020 ◽  
Vol 3 (1) ◽  
pp. 9
Author(s):  
Muhammad Fajar ◽  
G M Saragih ◽  
Soni Pratomo
Keyword(s):  
Co2 Emissions ◽  
Open Space ◽  
Canopy Cover ◽  
Urban Forests ◽  
Tree Canopy ◽  
Tree Cover ◽  
Living Things ◽  
Tree Canopy Cover ◽  
Average Residual ◽  
The City

Muhammad Sabki City Forest is one of the urban forests that is used as Green Open Space in Jambi City, one of the functions of urban forests is absorbing CO2 gas emissions, the analysis carried out in the forest city of Muhammad Sabki in Jambi is to find out how much CO2 emissions remaining by determining tree canopy / cover points consisting of 3 measurement locations, measurements carried out in the morning, afternoon and evening where location I with tree canopy / cover is rarely obtained on average the remaining emis of CO2 produced for 1 week at in the morning at 420.762 ppm, during the day 403.057 ppm, and in the afternoon at 409.038 ppm, while at location II with density / medium tree cover, in the morning it was 420.610 ppm, during the day 401.762 ppm, and in the afternoon 409,210 ppm, then at the location of point III in the morning it was 420,429 ppm, during the day 402,981 ppm and in the afternoon 414,638 ppm. Where is the average residual CO2 emissions produced? an annual 0,150 (tons / year) this shows that it is still in accordance with the criteria for quality standards for air quality so that the city of Muhammad Sabki Jambi City still has good quality in absorbing residual CO2 emissions generated from activities or activities of humans and other living things.

Zoning, land use, and urban tree canopy cover: The importance of scale

2013 ◽  
Vol 12 (2) ◽  
pp. 191-199 ◽  
Author(s):  
Sarah K. Mincey ◽  
Mikaela Schmitt-Harsh ◽  
Richard Thurau
Keyword(s):  
Land Use ◽  
Canopy Cover ◽  
Tree Canopy ◽  
Urban Tree ◽  
Tree Canopy Cover ◽  
Urban Tree Canopy

scholarly journals Linking Urban Tree Cover Change and Local History in a Post-Industrial City

Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 403
Author(s):  
Lara A. Roman ◽  
Indigo J. Catton ◽  
Eric J. Greenfield ◽  
Hamil Pearsall ◽  
Theodore S. Eisenman ◽  
...  
Keyword(s):  
Land Cover ◽  
Low Income ◽  
Historical Context ◽  
Local History ◽  
Tree Canopy ◽  
Tree Cover ◽  
Open Spaces ◽  
Urban Tree ◽  
Suburban Areas ◽  
Post Industrial

Municipal leaders are pursuing ambitious goals to increase urban tree canopy (UTC), but there is little understanding of the pace and socioecological drivers of UTC change. We analyzed land cover change in Philadelphia, Pennsylvania (United States) from 1970–2010 to examine the impacts of post-industrial processes on UTC. We interpreted land cover classes using aerial imagery and assessed historical context using archival newspapers, agency reports, and local historical scholarship. There was a citywide UTC increase of +4.3 percentage points. Substantial UTC gains occurred in protected open spaces related to both purposeful planting and unintentional forest emergence due to lack of maintenance, with the latter phenomenon well-documented in other cities located in forested biomes. Compared to developed lands, UTC was more persistent in protected open spaces. Some neighborhoods experienced substantial UTC gains, including quasi-suburban areas and depopulated low-income communities; the latter also experienced decreasing building cover. We identified key processes that drove UTC increases, and which imposed legacies on current UTC patterns: urban renewal, urban greening initiatives, quasi-suburban developments, and (dis)investments in parks. Our study demonstrates the socioecological dynamism of intra-city land cover changes at multi-decadal time scales and the crucial role of local historical context in the interpretation of UTC change.

scholarly journals Estimating Forest Canopy Cover by Multiscale Remote Sensing in Northeast Jiangxi, China

Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 433
Author(s):  
Xiaolan Huang ◽  
Weicheng Wu ◽  
Tingting Shen ◽  
Lifeng Xie ◽  
Yaozu Qin ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Large Scale ◽  
Forest Canopy ◽  
Canopy Cover ◽  
Google Earth ◽  
Tree Canopy ◽  
Landsat Data ◽  
High Resolution Data ◽  
Modis Ndvi ◽  
Tree Canopy Cover

This research was focused on estimation of tree canopy cover (CC) by multiscale remote sensing in south China. The key aim is to establish the relationship between CC and woody NDVI (NDVIW) or to build a CC-NDVIW model taking northeast Jiangxi as an example. Based on field CC measurements, this research used Google Earth as a complementary source to measure CC. In total, 63 sample plots of CC were created, among which 45 were applied for modeling and the remaining 18 were employed for verification. In order to ascertain the ratio R of NDVIW to the satellite observed NDVI, a 20-year time-series MODIS NDVI dataset was utilized for decomposition to obtain the NDVIW component, and then the ratio R was calculated with the equation R = (NDVIW/NDVI) *100%, respectively, for forest (CC >60%), medium woodland (CC = 25–60%) and sparse woodland (CC 1–25%). Landsat TM and OLI images that had been orthorectified by the provider USGS were atmospherically corrected using the COST model and used to derive NDVIL. R was multiplied for the NDVIL image to extract the woody NDVI (NDVIWL) from Landsat data for each of these plots. The 45 plots of CC data were linearly fitted to the NDVIWL, and a model with CC = 103.843 NDVIW + 6.157 (R2 = 0.881) was obtained. This equation was applied to predict CC at the 18 verification plots and a good agreement was found (R2 = 0.897). This validated CC-NDVIW model was further applied to the woody NDVI of forest, medium woodland and sparse woodland derived from Landsat data for regional CC estimation. An independent group of 24 measured plots was utilized for validation of the results, and an accuracy of 83.0% was obtained. Thence, the developed model has high predictivity and is suitable for large-scale estimation of CC using high-resolution data.

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