Impact of land cover change on urban tree cover and potential regulating ecosystem services: the case of Aydın/Turkey

2021 ◽  
Vol 193 (11) ◽  
Author(s):  
Ebru Ersoy Tonyaloğlu ◽  
Birsen Kesgin Atak
Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 403
Author(s):  
Lara A. Roman ◽  
Indigo J. Catton ◽  
Eric J. Greenfield ◽  
Hamil Pearsall ◽  
Theodore S. Eisenman ◽  
...  

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.


Land ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1217
Author(s):  
Manan Bhan ◽  
Simone Gingrich ◽  
Sarah Matej ◽  
Steffen Fritz ◽  
Karl-Heinz Erb

Tree cover (TC) and biomass carbon stocks (CS) are key parameters for characterizing vegetation and are indispensable for assessing the role of terrestrial ecosystems in the global climate system. Land use, through land cover change and land management, affects both parameters. In this study, we quantify the empirical relationship between TC and CS and demonstrate the impacts of land use by combining spatially explicit estimates of TC and CS in actual and potential vegetation (i.e., in the hypothetical absence of land use) across the global tropics (~23.4° N to 23.4° S). We find that land use strongly alters both TC and CS, with stronger effects on CS than on TC across tropical biomes, especially in tropical moist forests. In comparison to the TC-CS correlation observed in the potential vegetation (biome-level R based on tropical ecozones = 0.56–0.90), land use strongly increases this correlation (biome-level R based on tropical ecozones = 0.87–0.94) in the actual vegetation. Increased correlations are not only the effects of land cover change. We additionally identify land management impacts in closed forests, which cause CS reductions. Our large-scale assessment of the TC-CS relationship can inform upcoming remote sensing efforts to map ecosystem structure in high spatio-temporal detail and highlights the need for an explicit focus on land management impacts in the tropics.


2021 ◽  
Vol 3 ◽  
Author(s):  
Francis K. Dwomoh ◽  
Jesslyn F. Brown ◽  
Heather J. Tollerud ◽  
Roger F. Auch

California has, in recent years, become a hotspot of interannual climatic variability, recording devastating climate-related disturbances with severe effects on tree resources. Understanding the patterns of tree cover change associated with these events is vital for developing strategies to sustain critical habitats of endemic and threatened vegetation communities. We assessed patterns of tree cover change, especially the effects of the 2012–2016 drought within the distribution range of blue oak (Quercus douglasii), an endemic tree species to California with a narrow geographic extent. We utilized multiple, annual land-cover and land-surface change products from the U.S. Geological Survey (USGS) Land Change Monitoring, Assessment and Projection (LCMAP) project along with climate and wildfire datasets to monitor changes in tree cover state and condition and examine their relationships with interannual climate variability between 1985 and 2016. Here, we refer to a change in tree cover class without a land-cover change to another class as “conditional change.” The unusual drought of 2012–2016, accompanied by anomalously high temperatures and vapor pressure deficit, was associated with exceptional spikes in the amount of both fire and non-fire induced tree cover loss and tree cover conditional change, especially in 2015 and 2016. Approximately 1,266 km2 of tree cover loss and 617 km2 of tree cover conditional change were recorded during that drought. Tree cover loss through medium to high severity fires was especially large in exceptionally dry and hot years. Our study demonstrates the usefulness of the LCMAP products for monitoring the effects of climatic extremes and disturbance events on both thematic and conditional land-cover change over a multi-decadal period. Our results signify that blue oak woodlands may be vulnerable to extreme climate events and changing wildfire regimes. Here, we present early evidence that frequent droughts associated with climate warming may continue to affect tree cover in this region, while drought interaction with wildfires and the resulting feedbacks may have substantial influence as well. Consequently, efforts to conserve the blue oak woodlands, and potentially other vegetation communities in the Western United States, may benefit from consideration of climate risks as well as the potential for climate-fire and vegetation feedbacks.


2021 ◽  
Vol 9 (1) ◽  
pp. 63-78
Author(s):  
Medria Shekar Rani

Peri-urban provides complementary urban ecosystem services when green areas in cities are decreasing due to densification. However, land cover change in the area from natural landscapes to agriculture and settlements affects the ecosystem's capacity to provide services. This study aims to identify landscape transformation using a model and analyze its effects on cultural ecosystem services at Kawah Putih (White Crater) nature-based tourism destination area in the peri-urban in South Bandung, Indonesia. This study also analyzes how cultural ecosystem services and the increasing demand for new settlements in the area have influenced tourist visitation. Landscape change in the area (1989-2019) was identified from mapsdeveloped from Landsat imagery, using the Land Change Modeler (LCM) module in Terrset. A spatial assessment of offered cultural ecosystem services was then conducted using three indicators based on the land cover change near Kawah Putih. It is found that the composition of developed areas in the district has increased from 6.09% to 10.79% in 30 years. The quality of cultural ecosystem service has decreased, which is arguably influenced by the landscape alteration in the area. However, there was an increasing trend in the number of tourists (2016-2019) despite the deterioration of landscape quality. It is argued that the result is influenced by the visitors' perception of the landscape in the case study area. The rapid land cover change in the area was affected by the nearby city's growth, in which the tourism industry is one of the elements of such transformation.


Author(s):  
Rahul Tripathi ◽  
K. C. Moharana ◽  
A. D. Nayak ◽  
B. Dhal ◽  
Md Shahid ◽  
...  

Resources ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 37 ◽  
Author(s):  
Sekela Twisa ◽  
Mohamed Mwabumba ◽  
Mathew Kurian ◽  
Manfred F. Buchroithner

Land-use/land-cover changes are considered the dominant form of anthropogenic pressure on the environment, causing changes in ecosystem service patterns and affecting water supply services. Using the spatial econometric technique, we analysed the impact of land-use/land-cover change on water ecosystem services for domestic use upstream and downstream of the Wami River Basin. The results in terms of land-use/land-cover classes during the study period (2011–2016) indicate that cultivated land showed maximum positive changes in both sub-catchments, while bushland and woodland showed maximum negative changes upstream and downstream. The results showed that bushland, woodland, cultivated land, and grassland were significantly correlated with water point characteristics in both sub-catchments. For functionality characteristics, a significant effect was observed in bushland and grassland upstream and downstream, respectively, while sufficient water was found in woodland upstream and grassland downstream. Moreover, bushland was observed to have a significant number of water points with poor quality of water upstream, and a substantial number of water points with good quality of water were found in grassland downstream. We found that all measured land-use/land-cover changes and water point characteristic correlations were statistically significant; therefore, we concluded that land-use/land-cover change affects the water ecosystem in the basin. These results could facilitate decision-making and development of related policies and might support finding sustainable strategies for water ecosystem services for domestic use.


2012 ◽  
Vol 49 (3) ◽  
pp. 428-449 ◽  
Author(s):  
Zoltan Szantoi ◽  
Francisco Escobedo ◽  
John Wagner ◽  
Joysee M. Rodriguez ◽  
Scot Smith

Land ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 382
Author(s):  
Carson Baughman ◽  
Rachel Loehman ◽  
Dawn Magness ◽  
Lisa Saperstein ◽  
Rosemary Sherriff

Across Alaska’s Kenai Peninsula, disturbance events have removed large areas of forest over the last half century. Simultaneously, succession and landscape evolution have facilitated forest regrowth and expansion. Detecting forest loss within known pulse disturbance events is often straightforward given that reduction in tree cover is a readily detectable and measurable land-cover change. Land-cover change is more difficult to quantify when disturbance events are unknown, remote, or environmental response is slow in relation to human observation. While disturbance events and related land-cover change are relatively instant, assessing patterns of post-disturbance succession requires long term monitoring. Here, we describe a method for classifying land cover and quantifying land-cover change over time, using Landsat legacy imagery for three historical eras on the western Kenai Peninsula: 1973–2002, 2002–2017, and 1973–2017. Scenes from numerous Landsat sensors, including summer and winter seasons, were acquired between 1973 and 2017 and used to classify vegetation cover using a random forest classifier. Land-cover type was summarized by era and combined to produce a dataset capturing spatially explicit land-cover change at a moderate 30-m resolution. Our results document large-scale forest loss across the study area that can be attributed to known disturbance events including beetle kill and wildfire. Despite numerous and extensive disturbances resulting in forest loss, we estimate that the study area has experienced net forest gain over the duration of our study period due to reforestation within large fire events that predate this study. Transition between forest and graminoid non-forest land cover including wetlands and herbaceous uplands is the most common land-cover change—representing recruitment of a graminoid dominated understory following forest loss and the return of forest canopy given sufficient time post-disturbance.


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