Abstract
This article summarizes the assessment of the urban forest structure and health in central areas of Shenyang, China. Urban forest cover analysis was conducted using aerial photographs, satellite imagery, and a field survey of 282 plots as major study methods. Based on the location, function, and management objectives, the urban forests were classified into five cover types: landscape forests, ecologic forests, road forests, park forests, and commercial forests. Total tree cover in the study area is 7.85%. Most trees and shrubs are in good to very good health and have relatively small diameter at breast height and height. The major tree species are different in urban and suburban areas, which was the result of the natural occurrence of the species and manmade disturbances. Major recommendations for the future management include increasing urban forest cover, especially in the city center, east side, and outskirts; and increasing species diversity and urban forest connectivity.
Over the past 10 to 15 years, urban expansion has been occurring more rapidly than at any time in China. Currently, approximately 41% of China’s people are living in cities, compared with 26% at the end of the 1980s, and the country is still rapidly urbanizing (Wu et al. 2008). Thus, city greening and urban forestry have become very important issues, because many Chinese cities have air pollution problems. Urban forest is one of the defining features of a city and a region. Proper urban forest structure and health are the cornerstones of urban forest sustainability, because they strongly influence the urban forest function and benefits. Urban forest structure and health assessment is highly important because it provides crucial characteristics of the green infrastructure (Smith et al. 2005). Many urban forest management questions could be quickly and effectively addressed using geospatial methods and tools (Ward and Johnson 2007). The geospatial tools can provide timely and extensive spatial data from which urban forest attributes can be derived such as land cover, forest structure, species composition and condition, heat island effects, and carbon storage. However, the ground survey methods must be used along with the geospatial methods to increase the accuracy of the study results.
To promote urban forestry and to obtain baseline information for better management decisions and practices, an urban forest assessment was conducted in central Shenyang, China. The assessment has many objectives and the objectives related to this article were to establish, for the first time in the history of Shenyang, permanent urban forest assessment plots for the first assessment and future assessments; to assess urban forest structure such as urban forest cover, cover types, species composition, size, location, and distribution; and to assess the overall urban forest health.
METHODOLOGY
Study Area
Shenyang is the largest city in northeast China. It is the capitol city and political, economic, and cultural center of Liaoning Province and is among the ten largest cities in China. It is also an important industrial base and a historical city with three UNESCO World Heritage Sites. As the host city of the 2006 International Horticultural Exposition and venue for the soccer matches of the 2008 Beijing Olympic Games, Shenyang has become the focus of worldwide attention. We selected the city of Shenyang for this study because it is representative of large-sized cities in China with a noticeable urban forest component.
Shenyang is located in northeast China at 41°47′44″, 123°26′53″E. It is in the temperate zone and is greatly influenced by monsoons year round with an annual average temperature of 7°C to 8°C (45°F to 46°F) and precipitation of 510 to 680 mm (20.4 to 27.2 in). The natural forest soil is brown eluvial with a thick humus layer and high phosphorus and relatively low nitrogen contents. The dominant forest species are Pinus tabuliformis and Quercus mongolia. Pinus tabuliformis is the city tree of Shenyang.
This study targeted the central area of Shenyang (Figure 1), which is comprised of 1,150 km2 (460 mi2) and is divided into two sectors, an urban area totaling 455.77 km2 (182.31 mi2) and a suburban area totaling 694.24 km2 (277.70 mi2). The central area and its two sectors are defined using the existing definition in China. The urban area is classified as the area within the third ring road, a circular loop on the outskirts of the city. The suburban area is classified as the area outside of the third ring road. The term suburban is defined somewhat differently than in the United States. The suburban area in the northeast of China is more rural in nature than suburban areas in the United States, because there are more agricultural lands and small farms than residential or bedroom communities with dense urban vegetation cover. Therefore, it is much like the city’s countryside fringe.
Urban Forest Classification
Various types of built-up areas have different effects on environmental conditions, urban forest structure, and management objectives. Thus, we should not treat urban areas as homogeneous areas by combining all anthropogenic factors into one aggregated variable. Instead, the urban matrix should be categorized in subsystems because it is multidimensional and highly variable across space (Godefroid and Koedam 2007).
Therefore, this assessment classified the urban forests in the study area into five types based on their function, location, land use type, distribution, benefits provided, and management objectives. The five types are:
Landscape forest (L): trees located near and around buildings for landscape purposes, including schoolyards, campuses, hospitals, commercial and business districts, industrial areas, and residential areas. The major functions are to beautify and improve people’s living and working environments.
Road forest (R): trees along railroads, highways, boulevards, roads, streets, and intersections and by bridges. The major functions are to protect the road, direct and regulate traffic, block traffic noise, and absorb traffic-related pollution.
Park forest (P): trees in public parks, forest parks, historic places, and scenic areas. The major functions are to provide recreation opportunities, sightseeing and vacation spots, locations for education and cultural activities, and to improve the environment.
Ecologic forest (E): trees and forests at the outskirts of the city planted as wind breaks, sand stabilizers, and pollution/noise reducers; by water bodies such as rivers, dams, and lakes to protect watersheds and improve water quality; between residential areas and industries to block pollution and noise; by levees to prevent flooding; and on slopes or adverse soils to prevent soil erosion.
Commercial forest (C): trees in nurseries, orchards, plantations, and woodlands for commercial purposes. The major functions are to provide seedlings and saplings for urban greening and reforestation, for fruit production, and for nontraditional forest products.
Urban Forest Cover Analysis
Study methods were derived from the urban forestry studies in the United States by Nowak (1992, 1994), McPherson et al. (1997), Miller (1997), Dwyer et al. (2000), and Nowak et al. (2002). Two major study methods were used, urban forest cover analysis and ground survey. Panchromatic aerial photographs (1:15,000 and 1:1,000) taken during the August 2001 flyover at a flying height of 1,500 m (4,950 ft) specifically made for this particular project were used for the urban forest cover analysis. Landsat TM5 satellite photographs from August 2001 were also used along with 1997 Landsat TM5 satellite photographs for comparison. The aerial photographs were scanned at 600 dpi and digitized manually at 1 m (3.3 ft) resolution to analyze the urban forest cover by using ArcGIS 8.1 (ESRI, New York, NY). The digitized map identified the five types/categories of urban forest cover.
Field Plot Establishment
The stratified random field sample plots were mapped and evenly distributed based on the urban forest location, cover type, and size. An eTrex GPS (Garmin, Olathe, KS) unit by Garmin was used in the field to locate the plot sites. The total of 282 plots of three different sizes was established to ensure proper representation and coverage of all urban forest types. A 20 m × 20 m (66 ft × 66 ft) plot size was used in the parks, forest parks, scenic areas, and suburban areas, because the forests in these areas were relatively dense, resembled the naturally occurring forests, and were distributed in relatively large patches. A 40 m × 40 m (132 ft × 132 ft) plot size was used in areas such as schoolyards, campuses, business districts, and residential areas, because trees were scattered, separated by buildings, and not distributed in large patches. A 20 m × 80 m (66 ft × 264 ft) plot size was used along railroads, highways, boulevards, and roads, because trees are distributed along the roads; therefore, the plots were rectangular.
Field Survey Data Collection
Field survey data were collected from each plot and every tree and shrub in the plot. Data collected included plot number, date, location, land use type, species name, number of trees per species, tree diameter at breast height (dbh), and tree and shrub height. Tree dbh measurements were categorized into six classes: 0 to 10 cm (0 to 4 in), 10 to 20 cm (4 to 8 in), 20 to 30 cm (8 to 12 in), 30 to 40 cm (12 to 16 in), 40 to 50 cm (16 to 20 in), and larger than 50 cm (20 in). Height measurements were classified into five classes: shorter than 3 m (9.9 ft), 3 to 5 m (9.9 to 16.5 ft), 5 to 10 m (16.5 to 33 ft), 10 to 15 m (33 to 49.5 ft), and taller than 15 m (49.5 ft).
Health Condition Assessment
Tree and shrub health condition data were collected during the field survey. Based on the tree condition assessment methods by the Council of Tree and Landscape Appraisers (2000), tree health was classified into five condition classes, which are 0, dead/dying; 1, poor/decline; 2, fair/average; 3, good/very good; and 4, excellent.
Data Analysis
Field data were entered into the computer according to the urban and suburban sectors and five major forest cover types. Diameter, height, and health condition distributions of urban and suburban trees and shrubs were obtained by assigning trees/shrubs into respective classes that are described in the previous two sections. Average diameter, height, and health condition index of trees/shrubs by urban forest types were obtained by averaging all trees/shrubs in all plots by urban forest types. Species composition was obtained by counting the numbers of species found in all plots. Species frequency was obtained by calculating the percentage of a particular species within the entire population.
RESULTS AND DISCUSSION
Urban Forest Cover and Distribution
The forest cover in the urban area is 8.32% and occupies roughly 37.92 km2 (15.17 mi2) with landscape forest and ecologic forest making up 63% of the total cover (Figure 2A). Study results showed that Shenyang shares a problem common in big cities in the world, which is the low tree canopy cover in the center of the city. Analysis of the landscape forest distribution indicated that some landscape forests are in a relatively small patch distribution pattern (Figure 3A). For example, there are 389 patches that exceed 5,000 m2 (54,000 ft2) and 821 patches that exceed 3,000 m2 (32,400 ft2). These results reflect the history of patch-style tree planting, which set a good example for future urban forest planting and management.
The ideal distribution of road forests is that trees should be distributed along all roads. However, the assessment results indicated that there are many “lonely roads” without trees along the sides (Figure 3B). There are many reasons for this problem. Trees planted along the road have a very low survival rate as a result of the adverse growing conditions caused by poor soil, pollution, and heavy traffic. Because the demand for personally owned vehicles and commercial traffic flow increased, the roads were often widened and the trees that once lined the roads were removed. Although some trees were replaced, the decreased planting space and the lack of manpower and proper care eventually resulted in tree mortality. Some trees that were not removed had the road paved over their roots and they had a difficult time developing properly and subsequently died years later.
Centering around the historical site called North Tomb or Beiling Park, a UNESCO World Heritage Site, where the Second Emperor of Qing Dynasty is buried in the northern part of the city, there are patch distributions of park forests and ecologic forests with some of the patches connected by forest corridors (Figure 3C–D). Along the Hun River and the city’s South Canal in the southern part of the city, large patches of park forests and ecologic forests are also distributed and connected by waterways functioning as corridors. The urban forests in the southeast part of the city and close to the outskirts of the city are distributed in smaller and more scattered patches and sometimes with no connecting corridors between the patches.
The distribution of the commercial forests is very low in the urban area (Figure 3E). There is a need to increase tree nurseries in the outskirts of the city to supply saplings and transplant stocks to meet the demand of increasing urban greening efforts.
The forest cover in the suburban area is 7.54% and occupies roughly 52.35 km2 (20.94 mi2). It is mainly distributed in the east and northeast region (Figure 2B) with large patches and a high density of trees and shrubs in the forest parks, scenic areas, and plantations. This distribution pattern resembled the natural forest distribution.
Tree Species Composition
There are a total of 1,234,132 trees of 87 species in the urban area with Populus spp., Ulmus pumila, and Salix spp. as the three most common species (Table 1). The suburban area has 4,601,630 trees of 33 species dominated by Pinus tabuliformis, Quercus Mongolia, and Cotoneaster pinnatifida. Compared with the urban area, the number of trees in the suburban area is 73% higher and the number of species is 62% lower. The three major tree species between urban and suburban areas are strikingly different. The common species in the urban area are the results of urban greening and tree planting. The occurrence and wide distribution of the three major species in the suburban area are the remnants of the natural forests and demonstrate the influence of the natural distribution and manmade disturbances. Pinus tabuliformis is a dominant and common naturally occurring species. As a result of population increases and the high demand for shelter and food, some pine forests were cut down and the forest lands were converted to suburban and agriculture lands. Quercus mongolia is a common natural pioneer species after the local climax community was destroyed and C. pinnatifida is a major companion species in nature in this area.
Tree Size
Most trees in the urban area are relatively small with an average dbh of 20.55 cm (8.22 in). More than 60% of the trees are less than 20 cm (8 in) in diameter (Figure 4A). Among different forest types, the road trees are more homogeneous in size than other types because of the selection of relatively large tree species when they were planted (Figure 5). The ecologic trees usually grow in a relatively natural setting with some natural regeneration, which resulted in the age difference and created a mix of large and small trees. The landscape trees are more diverse in size compared with other types as a result of the use of different landscape materials. Commercial trees have a relatively even dbh distribution and species composition. The reason that the park trees share the smallest dbh is that in recent years, China began to intensify its greening efforts, which led to many newly planted small trees.
Most trees in the urban area are relatively short, with 65% less than 10 m (33 ft) (Figure 6A). Data for dbh and height revealed that most of the urban trees are relatively young and in the stage of growth and development. Among all tree types, the ecologic trees are the tallest (Figure 7). Their leading position is the result of high forest density and the competition for light. The road trees are more evenly aged large trees with a relatively even height. The landscape trees and park trees are unevenly aged and some of them were planted very recently in the newly developed districts and greenspaces, which resulted in an uneven height distribution and a smaller average. The commercial trees often include trees in orchards that are pruned to be short for fruit production purposes. Others are in nurseries of young transplantable stock therefore yield the lowest average height.
Compared with the trees in the urban area, the trees in the suburbs are even smaller; more than 76% are less than 20 cm (8 in) in diameter (Figure 4B). Most trees are either ecologic trees or park trees (Figure 5). The greening efforts did not start in the suburbs as early as in the urban area. Most trees in the suburbs were planted in the 1950s and 1960s when there was a massive effort of tree planting by the Chinese government.
Compared with the urban area, the trees in the suburbs are shorter. Approximately 60% are below 10 m (33 ft) (Figure 6B). The average height for the ecologic trees is shorter than those in the urban area (Figure 7). The difference could be caused by the species composition difference between urban and suburban. In the suburbs, most ecologic trees are P. tabubliformis, but in the urban area, there are more Populus spp. and Salix spp. planted. Compared with the pines, these broadleaf species are fast-growing species and yield a higher average height. However, the average height for the park trees is similar to that in the urban area.
Tree Health Condition
Trees in the urban area are in relatively good health (Figure 8A). Analysis of the health condition by urban forest types showed that the healthiest are the park trees (Figure 9). Because public parks, forest parks, historic places, and scenic areas are the focal points of urban greening in China, there are relatively larger planting spaces and more refined government-funded management, which yielded the best tree health condition among the five urban forest types. The commercial trees are usually grown in good soil and well maintained by the companies and business owners; therefore, the health conditions are similar to those of the park trees. The landscape trees are not centrally managed because they belong to different entities with different ownerships and have a scattered distribution. Some entities/owners provided better care than others. Therefore, the average health index is slightly lower than that of the park trees and the commercial trees. As a result of construction-related stresses and severe environmental pollution caused by traffic, the road trees have a low average health index. The ecologic trees have the lowest average health index among all five types. Field surveys found that these trees grow in relatively high density with little or no management or maintenance. Competition and neglect have made these trees fall into a lower average.
The tree health condition in suburban areas is similar to that in the urban area (Figure 8B). Compared with the urban area, the park trees’ health condition index is slightly lower and the ecologic trees’ health index is slightly higher (Figure 9). This may be because the park trees in the urban area are better managed and maintained by the government agencies than in the suburbs, and the ecologic trees in the urban area may suffer from more manmade stresses than in the suburbs.
Shrub Species Composition, Size, and Health Condition
There are a total of 232,548 shrubs of 39 species in the urban area; most common shrub species are ranked by frequency in Table 1. Seventy-seven percent of the shrubs are less than 3 m (10 ft) tall (Figure 6C), and ninety-four percent are in good health condition (Figure 8C). Compared among urban forest types, the average health condition index (Figure 9) of the shrubs along roads is the lowest, and the shrubs in the commercial nurseries and orchards are the highest followed by shrubs in public parks, forest parks, scenic areas, and historical places. In the suburban area, shrubs are found in the park forests and ecologic forests. There are a total of 706,617 shrubs of 16 species in the suburban area. Compared with the urban area, the number of shrubs in the suburbs is 67% higher and the number of species is 59% lower. Compared with the urban area, the major shrub species are different, the size is smaller, and the health condition is similar (Table 1; Figures 6D, 8D, and 9).
CONCLUSIONS
We hope that this study demonstrates the feasibility and usefulness of urban forest assessment and monitoring in China. Results presented in this article only document baseline urban forest structure and health conditions. The refinement of the methods used in this study will result in a data collection protocol that can be used to assess and monitor urban trees and detect changes in their condition, status, and health.
Urban vegetation management in China places major emphasis on the absolute quantity of greenspace such as total area of urban vegetation, total canopy cover, and per capita vegetation cover and overlooks other structural attributes of urban vegetation as indicators of improvement in urban greening plans (Yang et al. 2008). To establish a better urban forest structure and maximize the ecologic benefits, Shenyang, through its urban planning and greening efforts, should increase its urban forest cover by enhancing the tree planting in the city center, southeast and outskirts of the city, in the newly developed residential areas, along roads, and in the parks. The city’s North Canal can be used as a corridor to connect the urban forest from the east to the west. The connectivity of the urban forest patches in the urban landscape may be critical for maintaining the species population and diversity (Zipperer et al. 2000).
Species diversity should be one of the priorities in future planting and greening efforts. Assessment showed that species such as Tilia mandshurica, Sophora japonica, Koelreuteria bipinnata, Pinus armandi, Acer truncatum, Tilia amurensis, Celtis bungeana, and Ginkgo biloba grow very well in Shenyang and can be used in future planting to increase diversity and for their high aesthetic values.
Size distribution of the trees in Shenyang is very similar to the results presented by Yang et al. (2005) of the urban forest structure study in Beijing. The lack of large trees presents a problem for proper carbon dioxide and pollution sequestration, carbon storage, and other ecologic benefits that larger trees can provide (Nowak and Crane 2002; Nowak et al. 2002). Most trees and shrubs are in good to very good health condition and have relatively small dbh and height.
There are more species in the urban areas than in the suburbs and the major tree species composition is very different. The species occurrence and distribution in both urban and suburban areas are strongly influenced by the species’ natural occurrences and manmade disturbances. Compared with the suburbs, the species in the urban area are more introduced than native. This trend affects the suburban species composition as well. More native species are being replaced by the introduced species. As Shenyang expands its urban area as a result of urban development, it is anticipated that the species composition will change drastically in the suburbs.
In the suburbs, massive tree planting efforts for the purpose of establishing forest plantations have both positive and negative outcomes. It is anticipated that these forest plantations will provide economic and ecologic benefits. However, the use of only a few species such as Pinus tabuliformis and Robinia pseudoacacia may result in an even aged and nearly single species plantation that is not ecologically sound.
Acknowledgments.
The results presented in this article are from a portion of a project entitled Urban Forest Ecology funded by the Chinese Academy of Sciences (CAS) with project number C99AD-BR010502 and project director Dr. Zhu H. Ning. The research is also supported by the Foundation of Knowledge Innovation Program of the Chinese Academy of Sciences with project number KZCX3-SW-43 and project director Dr. Zhu H. Ning. Special thanks go to the project team members at the CAS Institute for Applied Ecology, Shenyang, China, under the leadership of Director Dr. Xing Y. He. Special credits for the field study, data collection, and analysis for this article go to Dr. Chang F. Liu.
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