A Global System for Monitoring Ecosystem Service Change

Tallis, Heather; Mooney, Harold A.; Andelman, Sandy; Balvanera, Patricia; Crämer, Wolfgang; Karp, Daniel S.; Polasky, Stephen; Reyers, Belinda; Ricketts, Taylor; Running, S. W.; Thonicke, Kirsten; Tietjen, Britta; Walz, Ariane

doi:10.1525/bio.2012.62.11.7

Cited by 155 publications

(144 citation statements)

References 24 publications

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“…Havlík et al, 2011), which are used to determine important quantities such as the amount of land available for agricultural expansion, afforestation projects and biofuel production or whether reducing emissions from deforestation and forest degradation (REDD) are the most cost-effective solutions. A critical gap in accurate land cover and land use, which is needed to monitor ecosystem services and change over time, has also been highlighted recently by Tallis et al (2012).…”

Section: Introductionmentioning

confidence: 99%

Building a hybrid land cover map with crowdsourcing and geographically weighted regression

See

Schepaschenko

Lesiv

et al. 2015

ISPRS Journal of Photogrammetry and Remote Sensing

128

103

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Land cover is of fundamental importance to many environmental applications and serves as critical baseline information for many large scale models e.g. in developing future scenarios of land use and climate change. Although there is an ongoing movement towards the development of higher resolution global land cover maps, medium resolution land cover products (e.g. GLC2000 and MODIS) are still very useful for modelling and assessment purposes. However, the current land cover products are not accurate enough for many applications so we need to develop approaches that can take existing land covers maps and produce a better overall product in a hybrid approach. This paper uses geographically weighted regression (GWR) and crowdsourced validation data from Geo-Wiki to create two hybrid global land cover maps that use medium resolution land cover products as an input.Two different methods were used: a) the GWR was used to determine the best land cover product at each location; b) the GWR was only used to determine the best land cover at those locations where all three land cover maps disagree, using the agreement of the land cover maps to determine land cover at the other cells. The results show that the hybrid land cover map developed using the first method resulted in a lower overall disagreement than the individual global land cover maps. The hybrid map produced by the second method was also better when compared to the GLC2000 and GlobCover but worse or similar in performance to the MODIS land cover product depending upon the metrics considered. The reason for this may be due to the use of the GLC2000 in the development of GlobCover, which may have resulted in areas where both maps agree with one another but not with MODIS, and where MODIS may in fact better represent land cover in those situations. These results serve to demonstrate that spatial analysis methods can be used to improve medium resolution global land cover information with existing products.

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Section: Introductionmentioning

confidence: 99%

Building a hybrid land cover map with crowdsourcing and geographically weighted regression

See

Schepaschenko

Lesiv

et al. 2015

ISPRS Journal of Photogrammetry and Remote Sensing

128

103

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“…An EBV such as species abundance provides data for indicators such as the Living Planet, Wild Bird, and Red List indices (LPI, WBI, and RLI) (see the table). Assessing ecosystem services (ES) requires knowledge of changes in benefi cial species, functional groups, or ecosystem processes; additional physical, social, and economic data (fi g. S1) can be obtained from valuation studies, surveys, and national statistics ( 19). Complementary spatial information on responses implementation (e.g., coverage of protected areas) can inform indicators of the effectiveness of policy and management (fi g. S1).…”

Section: Essential Biodiversity Variables In Practicementioning

confidence: 99%

Group on Earth Observations

Ryan¹

2017

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“…However, we currently lack indicators and monitoring approaches for ecosystem services and their change that can be compared worldwide numerical simulation models [13]. For example, the question 'How can remote sensing-derived products be used to value and monitor changes in ecosystem services?'…”

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confidence: 99%

“…These models generally use a categorical representations of LULC combined with a paint-by-numbers approach to assign the same biophysical value to all pixels in the same class, thereby overlooking the sometimes dramatic impacts of differences in ecosystem quality or condition that affect the provision of ecosystem services [46]. While novel LULC products are constantly being improved (e.g., regarding spatial resolution, thematic detail) and hold promise for advancing ecosystem service modeling beyond these first-generation approaches, they still suffer from inconsistent classification methods, include spatial generalization errors, do not incorporate functional trait variation within vegetation types [30], and are produced infrequently [13]. 2) that illustrate provisioning (non-timber forest products, NTFPs), regulating (water purification), and cultural (outdoor recreation) ecosystem services.…”

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confidence: 99%

Priorities to Advance Monitoring of Ecosystem Services Using Earth Observation

Cord

Brauman

Chaplin‐Kramer

et al. 2017

Trends in Ecology & Evolution

114

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Abstract:Managing ecosystem services in the context of global sustainability policies requires reliable monitoring mechanisms. While satellite Earth observation offers great promise to support this need, significant challenges remain in quantifying connections between ecosystem functions, ecosystem services and human well-being benefits. Here, we provide a framework showing how 30Earth observation together with socio-economic information and model-based analysis can support assessments of ecosystem service supply, demand and benefit, and illustrate this for three services. We argue that the full potential of Earth observation is not yet realized in ecosystem service studies. To provide guidance for priority setting and to spur research in this area, we propose five priorities to advance the capabilities of Earth observation-based monitoring of 35 ecosystem services in the future. Main TextThe importance of monitoring ecosystem services Human population growth, changing lifestyles and growing demands for natural resources (e.g., 40food, clean water, fertile soils and timber) put the world's ecosystems under increasing pressure[1], often with unfavorable impacts on their capacity to provide ecosystem services -the benefits people obtain from nature (see Glossary). By emphasizing this critical role of nature in securing human well-being [2], the ecosystem service framework integrates the various components of socio-ecological systems and can be used to develop sustainable strategies [3]. However, 45operationalizing and predicting the relationships between biodiversity, ecosystem functions, ecosystem services and human well-being (e.g., [4,5]) to aid in decision-making is difficult and 3 requires detailed understanding of specific ecosystems as well as generalizations born of comparisons among similar systems [6].Monitoring the global status and trends of ecosystem services is crucial for policy and 50 management. Such reporting is mandated by a suite of recent multilateral political agreements and (inter)national assessments that have adopted the ecosystem service framework, e.g., the Intergovernmental Platform on Biodiversity & Ecosystem Services -IPBES [2], the Aichi Biodiversity Targets [7], the EU Biodiversity Strategy [8], and the recent US memorandum directing federal agencies to factor ecosystem services into planning and decision-making [9]. 55Monitoring trends will also be critical to evaluate the extent to which ecosystem services can help countries meet the new standards set by the recently adopted United Nations Sustainable Development Goals (SDGs; [10]) -which more fully integrate the three pillars of sustainable development (social, economic, and environmental). However, we currently lack indicators and monitoring approaches for ecosystem services and their change that can be compared worldwide numerical simulation models [13]. For example, the question 'How can remote sensing-derived products be used to value and monitor changes in ecosystem services?' was included in a list of the 10 major ways that...

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A Global System for Monitoring Ecosystem Service Change

Cited by 155 publications

References 24 publications

Building a hybrid land cover map with crowdsourcing and geographically weighted regression

Building a hybrid land cover map with crowdsourcing and geographically weighted regression

Group on Earth Observations

Priorities to Advance Monitoring of Ecosystem Services Using Earth Observation

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