scholarly journals Ecosystem services at risk: integrating spatiotemporal dynamics of supply and demand to promote long-term provision

One Earth ◽  
2020 ◽  
Vol 3 (6) ◽  
pp. 704-713
Author(s):  
Andrea Larissa Boesing ◽  
Paula Ribeiro Prist ◽  
Julia Barreto ◽  
Camila Hohlenwerger ◽  
Martine Maron ◽  
...  
Author(s):  
B. Li ◽  
F. Huang ◽  
S. Chang ◽  
H. Qi ◽  
H. Zhai

Indentifying the spatio-temporal patterns of ecosystem services supply and demand and the driving forces is of great significance to the regional ecological security and sustainable socio-economic development. Due to long term and high-intensity development, the ecological environment in central and southern Liaoning urban agglomerations has been greatly destroyed thereafter has restricted sustainable development in this region. Based on Landsat ETM and OLI images, land use of this urban agglomeration in 2005, 2010 and 2015 was extracted. The integrative index of multiple-ecosystem services (IMES) was used to quantify the supply (IMESs), demand (IMESd) and balance (IMESb) of multiple-ecosystem services, The spatial patterns of ecosystem services and its dynamics for the period of 2005–2015 were revealed. The multiple regression and stepwise regression analysis were used to explore relationships between ecosystem services and socioeconomic factors. The results showed that the IMESs of the region increased by 2.93 %, whereas IMESd dropped 38 %. The undersupplied area was reduced to 2. The IMESs and IMESb were mainly negatively correlated with gross domestic product (GDP), population density, foreign investment and industrial output, while GDP per capita and the number of teachers had significant positive impacts on ecosystem services supply. The positive correlation between IMESd and GDP, population density and foreign investment were found. The ecosystem services models were established. Supply and balance of multiple-ecosystem services were positively correlated with population density, but the demand was the opposite. The results can provide some reference value for the coordinately economic and ecological development in the study area.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 249-249
Author(s):  
Edward Miller ◽  
Molly Wylie ◽  
Lisa Beauregard ◽  
Pamela Nadash ◽  
Michael Gusmano ◽  
...  

Abstract COVID-19 has presented challenges for nursing homes (NHs) and other congregate living settings which serve older adults at high risk for morbidity and death from the virus. This study identified factors associated with states’ adopting a mandate for regular staff testing for COVID-19 in NHs. Potential correlates included state government ideology and capacity, NH supply and demand, prevailing economic conditions, existing state policies, and NH characteristics. Findings indicate that percent for profit NHs is most strongly associated with adoption of a state staff testing mandate. Governing capacity (average legislative salary), percent population at risk for COVID-19, and existing public policy (percent Medicaid spending devoted to long-term services and supports (LTSS) were also associated with the probability of adoption. Based on these results, states with more proprietary facilities and greater capacities for government action, investment in Medicaid LTSS, and at-risk populations were more likely to mandate regular staff testing in NHs.


2004 ◽  
Author(s):  
K. S. W. H. Hendriks ◽  
F. J. M. Grosfeld ◽  
A. A. M. Wilde ◽  
J. van den Bout ◽  
I. M. van Langen ◽  
...  

Author(s):  
Hunter M. Holzhauer

This chapter begins with a breakdown of recent growth trends for the overall commodities market. However, the long-term future of the market will heavily depend on three pressing issues: excess supply, increased regulations, and algorithmic trading. The section on excess supply explores how traders are changing strategies to adjust to the current imbalance between supply and demand, especially in the steel industry, and how that imbalance might change in the future based on global population trends and climate change concerns. The next section examines several regulatory trends, including the dramatic exodus of some investment banks from certain segments of the commodities market followed by a section focusing on how algorithmic trading is influencing how commodities are traded. A discussion of potential scenarios for the commodities market follows. The chapter concludes by examining a few ways in which the market and commodity traders may both survive and even thrive in the future.


2019 ◽  
Vol 12 (1) ◽  
pp. 295 ◽  
Author(s):  
Bin Fu ◽  
Pei Xu ◽  
Yukuan Wang ◽  
Yingman Guo

Ecological management based on the ecosystem approach promotes ecological protection and the sustainable use of natural resources. We developed a quantitative approach to identify the ecological function zones at the country-scale, through integrating supply and demand of ecosystem services. We selected the biologically diverse hotspot of Baoxing County, which forms a part of the Sichuan Giant Panda World Heritage Site, to explore the integration of ecosystem services supply and demand for ecosystem management. Specifically, we assessed the various support, provision, regulating, and cultural services as classified by the Millennium Ecosystem Assessment. We applied the InVEST (Integrated Valuation of Ecosystem Services and Trade-offs) model to spatially map habitat quality, water retention, and carbon sinks, and used statistical data to evaluate food products, animal husbandry, and product supply services. We then quantified the demands for these services in terms of population, protected species, hydropower, water, and land use. The relationship between areas of supply and areas of demand was discussed for each township, and the spatial variability in the supply–demand relationship was also considered. As a result, we spatially divided the county into six ecological functional areas, and the linkages between each region were comprehensively discussed. This study thus provides a detailed methodology for the successful implementation of an ecosystem management framework on a county-scale based on the spatial partitioning of supply and demand.


Author(s):  
Chiaki Ura ◽  
Tsuyoshi Okamura ◽  
Akinori Takase ◽  
Masaya Shimmei ◽  
Yukan Ogawa

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