scholarly journals A new multifunctional coastal classification for eco-system-service assessments

2018 ◽  
Author(s):  
Kai Ahrendt ◽  
A. Scalise ◽  
H. Sterr ◽  
F. Müller ◽  
I. Ruljevic
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Future Development ◽  
World Wide ◽  
Vulnerability Index ◽  
Google Earth ◽  
Data Sets ◽  
System Service ◽  
Gis Data ◽  
Coastal Classification

Based on GIS data sets an add-on for a coastal classification system was developed which takes Ecosystem Services (ESS) into account. The coastal area is segmented and afterwards classified. The segmentation is based on Google Earth. Each segment can be characterized by 10 different features including ecosystem services perpendicular to the coastline. If one of the features is changing a new segment will be specified. Therefore, a world-wide application is possible. Tests show that the classification can be easily done. The included ESS can be used to develop a vulnerability index for future development, e.g. for the years 2050 and 2100, based on scenarios for climate and demographic land use change.

scholarly journals Qualifying Land Use and Land Cover Dynamics and Their Impacts on Ecosystem Service in Central Himalaya Transboundary Landscape Based on Google Earth Engine

Land ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 173
Author(s):  
Changjun Gu ◽  
Yili Zhang ◽  
Linshan Liu ◽  
Lanhui Li ◽  
Shicheng Li ◽  
...  
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Cover ◽  
Ecosystem Service ◽  
Forest Cover ◽  
Google Earth ◽  
Forest Cover Change ◽  
Sacred Landscape ◽  
Lulc Changes ◽  
Google Earth Engine

Land use and land cover (LULC) changes are regarded as one of the key drivers of ecosystem services degradation, especially in mountain regions where they may provide various ecosystem services to local livelihoods and surrounding areas. Additionally, ecosystems and habitats extend across political boundaries, causing more difficulties for ecosystem conservation. LULC in the Kailash Sacred Landscape (KSL) has undergone obvious changes over the past four decades; however, the spatiotemporal changes of the LULC across the whole of the KSL are still unclear, as well as the effects of LULC changes on ecosystem service values (ESVs). Thus, in this study we analyzed LULC changes across the whole of the KSL between 2000 and 2015 using Google Earth Engine (GEE) and quantified their impacts on ESVs. The greatest loss in LULC was found in forest cover, which decreased from 5443.20 km2 in 2000 to 5003.37 km2 in 2015 and which mainly occurred in KSL-Nepal. Meanwhile, the largest growth was observed in grassland (increased by 548.46 km2), followed by cropland (increased by 346.90 km2), both of which mainly occurred in KSL-Nepal. Further analysis showed that the expansions of cropland were the major drivers of the forest cover change in the KSL. Furthermore, the conversion of cropland to shrub land indicated that farmland abandonment existed in the KSL during the study period. The observed forest degradation directly influenced the ESV changes in the KSL. The total ESVs in the KSL decreased from 36.53 × 108 USD y−1 in 2000 to 35.35 × 108 USD y−1 in 2015. Meanwhile, the ESVs of the forestry areas decreased by 1.34 × 108 USD y−1. This shows that the decrease of ESVs in forestry was the primary cause to the loss of total ESVs and also of the high elasticity. Our findings show that even small changes to the LULC, especially in forestry areas, are noteworthy as they could induce a strong ESV response.

Variation in Ecosystem Services Value in a Typical Mountain Town, Liaohe Watershed, China

2011 ◽  
Vol 356-360 ◽  
pp. 808-812
Author(s):  
Xiao Fan Zhao ◽  
Chao Zhang ◽  
Li Min Dai ◽  
Dong Ben Lian ◽  
Ning Wang ◽  
...  
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Use Change ◽  
Water Body ◽  
Landsat Tm ◽  
Data Sets ◽  
Ecosystem Services Value ◽  
Local Ecosystem ◽  
Land Use Plan ◽  
Use Categories

This study investigated variation in ecosystem services value in response to land use change in Nanfen District of Benxi City, a typical mountain town in Liaohe watershed, China. We used two Landsat TM data sets (1995, 2006) to estimate changes in the size of seven land use categories, and we used the most recently published value equivalent to estimate changes in the values of ecosystem services. The total value of ecosystem services in Nanfen District was 1294.1 million Yuan in 1995 and 1293.49 million Yuan in 2006, with a decrease of 568.3 thousand Yuan mainly due to the declining areas of cropland, water body and wetland. We concluded that future local land use plan should give priority to the conservation of these ecosystems, in order to promote and maintain the balance of local ecosystem.

scholarly journals Land Use Change and Urban Ecosystem Services: A Case Study of Urban Wetlands in a Rapidly Sprawling City in the Highlands of Chiapas, Mexico

2019 ◽  
Vol 9 (1) ◽  
pp. 67
Author(s):  
Vera Camacho-Valdez ◽  
Eva M. Tello-Alcaide ◽  
Allen Wootton ◽  
Emmanuel Valencia-Barrera
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Cover ◽  
Ecosystem Service ◽  
Google Earth ◽  
Land Use Land Cover ◽  
Urban Wetlands ◽  
Rapid Urbanization ◽  
Wide Range ◽  
The Impact

Urban wetlands provide a wide range of ecosystem services that are important for human-well-being. Despite their social and environmental importance, the degradation of urban wetlands continues mainly due to land use changes induced by rapid urbanization. Estimating the impact of these changes on ecosystem services is crucial to support the decision-making process of city planners at different levels. In this study, the spatial extents of the urban wetlands of San Cristobal de Las Casas, Chiapas, Mexico were determined for the years 2001 and 2018 in order to relate the spatial changes between these years with the provision and economic value of ecosystem services. Google Earth and SPOT imagery were used to evaluate land use/land cover changes while international coefficients were used to assess the value of the ecosystem services by category. Findings reveal a 7.3% decrease in the urban wetland area and a 12.5% increase of urban areas during the study period. The ecosystem service valuation shows that the total value flow decreased around $5 million (2007 USD) during the 17-year period, mainly due to decreases in the potential for regulating and cultural services. The use of freely available land use/land cover data together with global ecosystem service estimates reduce the cost of ground data collection and provides quick and reliable information that could help decision makers with land use planning in the context of data-scarce regions.

scholarly journals BULC-U: Sharpening Resolution and Improving Accuracy of Land-Use/Land-Cover Classifications in Google Earth Engine

2018 ◽  
Vol 10 (9) ◽  
pp. 1455 ◽  
Author(s):  
Jacky Lee ◽  
Jeffrey Cardille ◽  
Michael Coe
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Google Earth ◽  
Data Sets ◽  
Land Use Land Cover ◽  
Data Set ◽  
Mato Grosso ◽  
Order Of Magnitude ◽  
Advanced Analysis ◽  
Google Earth Engine

Remote sensing is undergoing a fundamental paradigm shift, in which approaches interpreting one or two images are giving way to a wide array of data-rich applications. These include assessing global forest loss, tracking water resources across Earth’s surface, determining disturbance frequency across decades, and many more. These advances have been greatly facilitated by Google Earth Engine, which provides both image access and a platform for advanced analysis techniques. Within the realm of land-use/land-cover (LULC) classifications, Earth Engine provides the ability to create new classifications and to access major existing data sets that have already been created, particularly at global extents. By overlaying global LULC classifications—the 300-m GlobCover 2009 LULC data set for example—with sharper images like those from Landsat, one can see the promise and limits of these global data sets and platforms to fuse them. Despite the promise in a global classification covering all of the terrestrial surface, GlobCover 2009 may be too coarse for some applications. We asked whether the LULC labeling provided by GlobCover 2009 could be combined with the spatial granularity of the Landsat platform to produce a hybrid classification having the best features of both resources with high accuracy. Here we apply an improvement of the Bayesian Updating of Land Cover (BULC) algorithm that fused unsupervised Landsat classifications to GlobCover 2009, sharpening the result from a 300-m to a 30-m classification. Working with four clear categories in Mato Grosso, Brazil, we refined the resolution of the LULC classification by an order of magnitude while improving the overall accuracy from 69.1 to 97.5%. This “BULC-U” mode, because it uses unsupervised classifications as inputs, demands less region-specific knowledge from analysts and may be significantly easier for non-specialists to use. This technique can provide new information to land managers and others interested in highly accurate classifications at finer scales.

scholarly journals Letter-to-the-Editor: Modelling the multi-functionality of African savanna landscapes under global change

2021 ◽  
Author(s):  
Reimund Rötter ◽  
Simon Scheiter ◽  
Munir Hoffmann ◽  
Mirjam Pfeiffer ◽  
William Nelson ◽  
...  
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Global Change ◽  
Southern Africa ◽  
Data Availability ◽  
Research Network ◽  
Data Sets ◽  
African Savanna ◽  
Integrated Framework ◽  
Policy Interventions

Quantifying how multiple ecosystem services and functions are affected by different drivers of Global Change is challenging. Particularly in African savanna regions, highly integrated land-use activities created a landscape mosaic with flows of multiple resources between land use types. A framework is needed that quantifies the effects of climate change, management and policy interventions on ecosystem services that are most relevant for rural communities, such as provision of food, feed, carbon sequestration, nutrient cycling and natural pest control. In spite of progress made in ecosystem modelling, data availability and stakeholder interactions, these elements have neither been brought together in an integrated framework, nor evaluated in the context of real-world problems. Here, we propose and outline such framework as developed by a multi-disciplinary research network, the Southern African Limpopo Landscapes network (SALLnet). Components of the framework such as the crop model APSIM and the vegetation model aDGVM2 had already been parameterized and evaluated using data sets from savanna regions of eastern, western and southern Africa, and were fine-tuned using novel data sets from Limpopo. A prototype of an agent-based farm household model was developed using comprehensive farm survey information from the Limpopo Province of South Africa. A first test of the functionality of the integrated framework has been performed for alternative policy interventions on smallholder crop-livestock systems. We discuss the versatile applicability of the framework, with a focus on smallholder landscapes in the savanna regions of southern Africa that are considered hotspots of global change impacts.

Mapping the Supply of Local Forest Ecosystem Services: Based on Delphi and Land Use Scoring Method

2020 ◽  
Vol 9 (2) ◽  
pp. 295-312
Author(s):  
Jang-Hwan Jo ◽  
Moon-Ki Choi ◽  
Oh Seok Kim ◽  
Kyeong-hak Lee ◽  
Chang-Bae Lee
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Forest Ecosystem ◽  
Scoring Method ◽  
Forest Ecosystem Services

scholarly journals Agroforestry-Based Ecosystem Services

Land ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 770
Author(s):  
Meine van Noordwijk
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Trees On Farms ◽  
Scientific Analysis

Agroforestry, land use at the agriculture-forestry interface that implies the presence of trees on farms and/or farmers in forests, has a history that may be as old as agriculture, but as an overarching label and topic of formal scientific analysis, it is in its fifth decade [...]

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