scholarly journals Development of web-mapping system to evaluate ecosystem services by urban forests

2021 ◽  
Vol 47 (1) ◽  
pp. 149-152
Author(s):  
Satoshi HIRABAYASHI ◽  
Misako NAKATANI ◽  
Seiei WADA
Forests ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 14
Author(s):  
Han Zhi-Ying ◽  
Youn Yeo-Chang

This paper aims to investigate the Beijing resident’s preferences over various options of urban forest management strategies. The literature investigation and expert Delphi method were conducted to classify the ecosystem services of urban forests into six categories: (1) fresh water provision, (2) noise reduction, (3) moderation of extreme events, (4) air quality regulation, (5) species diversity and wildlife habitat, and (6) recreation and spiritual experience. To elicit the relative preferences to ecosystem service (hereafter referred to as ES) of Beijing residents, we employed the choice experiment method. The data were collected by interviews with questionnaires conducted in October 2017, and a total of 483 valid questionnaires were analyzed. The subjects of this experiment were residents older than 19 years old who have lived in Beijing for more than 1 year and have visited any one of the urban forests located in Beijing more than once during 2016. The results were as follows: Firstly, the air quality regulation ES was considered as the most important service for Beijing residents in terms of their choices of urban forest. In addition, Beijing residents regarded the fresh water provision ES as the second most important ES. Beijing residents were willing to pay up to 1.84% of the average monthly income of Chinese households annually to expand urban forest ecosystems in order to improve air quality. Secondly, apartment owners were willing to pay more municipality tax for forest ESs than residents who did not own an apartment. Thirdly, residents were more willing to pay for urban forest ESs as their income increases. The results indicated that Beijing residents were willing to pay more tax in support of urban forestry for air quality improvement. This research suggests that urban environmental policy makers in Beijing should pay more attention to the regulation function of forests (especially improving air quality) when designing and managing urban forests.


Forests ◽  
2016 ◽  
Vol 7 (12) ◽  
pp. 291 ◽  
Author(s):  
Stephen Livesley ◽  
Francisco Escobedo ◽  
Justin Morgenroth

2018 ◽  
Vol 32 ◽  
pp. 159-169 ◽  
Author(s):  
Helen J. Davies ◽  
Kieron J. Doick ◽  
Malcolm D. Hudson ◽  
Marije Schaafsma ◽  
Kate Schreckenberg ◽  
...  

2017 ◽  
Vol 156 ◽  
pp. 97-107 ◽  
Author(s):  
Helen J. Davies ◽  
Kieron J. Doick ◽  
Malcolm D. Hudson ◽  
Kate Schreckenberg

2015 ◽  
Vol 14 (4) ◽  
pp. 1040-1053 ◽  
Author(s):  
Francisco J. Escobedo ◽  
Nicola Clerici ◽  
Christina L. Staudhammer ◽  
Germán Tovar Corzo

2017 ◽  
Vol 20 (3) ◽  
pp. 683-699 ◽  
Author(s):  
Tekle Woldegerima ◽  
Kumelachew Yeshitela ◽  
Sarah Lindley

2015 ◽  
Vol 42 (9) ◽  
pp. 4443-4459 ◽  
Author(s):  
Iosif Viktoratos ◽  
Athanasios Tsadiras ◽  
Nick Bassiliades

EDIS ◽  
2011 ◽  
Vol 2011 (8) ◽  
Author(s):  
Francisco Escobedo ◽  
Joy Klein ◽  
Micah Pace ◽  
Henry Mayer ◽  
Sebastian Varela

The urban forest in Miami-Dade County reduces air pollution, controls stormwater, reduces crime, increases real estate values, and improves livability. This 14-page fact sheet can be used by urban foresters, residents, and planners to better understand and maximize the benefits of this important natural resource. Written by Francisco Escobedo, Joy Klein, Micah Pace, Henry Mayer, and Sebastian Varela, and published by the UF Department of School of Forest Resources and Conservation, July 2011. (UF/IFAS Photo by Eric Zamora) http://edis.ifas.ufl.edu/fr347   


2019 ◽  
Author(s):  
GISKA PARWA MANIKASARI

Green Open Spaces have a variety of ecosystem services of which can be utilized by society. This study aims are to identify green open space criteria value for determining ecosystem services, to study the conditions and distributions of ecosystem service potentials of Green Open Spaces in Urban Area of Yogyakarta, and optimize Green Open Spaces in the Urban Area of Yogyakarta in the perspective of ecosystem services. The research locations included Green Open Spaces of Urban Area of Yogyakarta consisting of urban forests type, city parks, river borders, and road greenbelts, comprising of twelve research locations. The identification of the criteria for Green Open Spaces was done using the expert judgment and pairwise comparison methods resulting in weight values. In each observation location, a plot was made for monitoring the conditions of each Green Open Space criterion using a score. The data from the field and the assessment by experts were analyzed by means of scoring analysis to find out the level of ecosystem services in each research location and they were further descriptively and deductively analyzed by taking account of the area allotment and the available regulations to attain the conditions of Green Open Spaces with optimal ecosystem services. The results of the study show that of the sixteen criteria under study, each plays a role in ecosystem services. The values of ecosystem services of Green Open Spaces in KPY show different values for each type of Green Open Spaces. In general, the types of urban forests, including Urban Forest of Arboretum of Faculty of Forestry, Gadjah Mada University, and Arboretum of Gembira Loka Zoo, have ecosystem services in the high category for the eleven ecosystem services, while the types of Green Open Spaces of city parks, including Denggung Park, Gajah Wong Educational Park, and Lalu Lintas Park, and riverbanks, including Code’s riverbank, Gajah Wong’s riverbank, and Winongo’s riverbank, on the average have ecosystem service va lues in the moderate category, and the types of Green Open Spaces of street greenbelts, including greenbelt of Jalan Magelang, greenbelt of Jalan Cik Di Tiro, and greenbelt of Jalan Malioboro, all have ecosystem service values in the low category. Based on the results, optimalize Green Open Spaces in KPY in the perspective of ecosystem services can be done by optimizing each criteria with the highest weight value adjusted to the allotment of each type of Green Open Spaces and the regulations related to Green Open Spaces.


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