A Global Vision for Monitoring Ecosystem Services with Satellite Sensors

2013 ◽  
pp. 23-36
Keyword(s):  
Ecosystem Services ◽  
Global Vision ◽  
Satellite Sensors

scholarly journals Machine Learning Regression Model for Predicting Honey Harvests

Agriculture ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 118
Author(s):  
Tristan Campbell ◽  
Kingsley W. Dixon ◽  
Kenneth Dods ◽  
Peter Fearns ◽  
Rebecca Handcock
Keyword(s):  
Machine Learning ◽  
Ecosystem Services ◽  
Machine Learning Algorithms ◽  
Average Error ◽  
Honey Production ◽  
Nectar Source ◽  
Satellite Sensors ◽  
Harvest Data ◽  
Weather Stations ◽  
Using Data

Honey yield from apiary sites varies significantly between years. This affects the beekeeper’s ability to manage hive health, as well as honey production. This also has implications for ecosystem services, such as forage availability for nectarivores or seed sets. This study investigates whether machine learning methods can develop predictive harvest models of a key nectar source for honeybees, Corymbia calophylla (marri) trees from South West Australia, using data from weather stations and remotely sensed datasets. Honey harvest data, weather and vegetation-related datasets from satellite sensors were input features for machine learning algorithms. Regression trees were able to predict the marri honey harvested per hive to a Mean Average Error (MAE) of 10.3 kg. Reducing input features based on their relative model importance achieved a MAE of 11.7 kg using the November temperature as the sole input feature, two months before marri trees typically start to produce nectar. Combining weather and satellite data and machine learning has delivered a model that quantitatively predicts harvest potential per hive. This can be used by beekeepers to adaptively manage their apiary. This approach may be readily applied to other regions or forage species, or used for the assessment of some ecosystem services.

The Methow Beaver Project: the Challenges of an Ecosystem Services Experiment

2019 ◽  
Vol 3 (1) ◽  
pp. 1-14
Author(s):  
Philip Brick ◽  
Kent Woodruff
Keyword(s):  
Ecosystem Services ◽  
Climate Adaptation ◽  
Castor Canadensis ◽  
Water Storage ◽  
Climate Projections ◽  
High Mountain ◽  
Natural Resource Policy ◽  
Watershed Scale ◽  
Positive Role ◽  
Climate Conditions

This case explores the Methow Beaver Project (MBP), an ambitious experiment to restore beaver (Castor canadensis) to a high mountain watershed in Washington State, USA. The Pacific Northwest is already experiencing weather regimes consistent with longer term climate projections, which predict longer and drier summers and stronger and wetter winter storms. Ironically, this combination makes imperative more water storage in one of the most heavily dammed regions in the nation. Although the positive role that beaver can play in watershed enhancement has been well known for decades, no project has previously attempted to re-introduce beaver on a watershed scale with a rigorous monitoring protocol designed to document improved water storage and temperature conditions needed for human uses and aquatic species. While the MBP has demonstrated that beaver can be re-introduced on a watershed scale, it has been much more difficult to scientifically demonstrate positive changes in water retention and stream temperature, given hydrologic complexity, unprecedented fire and floods, and the fact that beaver are highly mobile. This case study can help environmental studies students and natural resource policy professionals think about the broader challenges of diffuse, ecosystem services approaches to climate adaptation. Beaver-produced watershed improvements will remain difficult to quantify and verify, and thus will likely remain less attractive to water planners than conventional storage dams. But as climate conditions put additional pressure on such infrastructure, it is worth considering how beaver might be employed to augment watershed storage capacity, even if this capacity is likely to remain at least in part inscrutable.

The issue of radioactive contamination in context of ecosystem services development

2016 ◽  
Vol 3 (3) ◽  
pp. 48-53 ◽  
Author(s):  
G. Chobotko ◽  
L. Raychuk ◽  
I. McDonald
Keyword(s):  
Ecosystem Services ◽  
The State ◽  
Natural Ecosystems ◽  
Type Region ◽  
State Register ◽  
Agrarian Policy ◽  
Literary Sources ◽  
Radiation Contamination ◽  
Logical Research

The aim of the article was to defi ne the role of the radioactive environment contamination in the formation of ecosystem services strategy. Methods. Monographic, systemic and structural, factor analysis, abstract and logical research methods have been used. The data from the State Statistics Service of Ukraine, the Ministry of Agrarian Policy and Food of Ukraine, the Ministry of Ecology and Natural Resources of Ukraine, materials of scientifi c researches, international materials and reports and other literary sources on the issues investigated have been used as an information base. Results. Retrospective analysis of sources and state of radioactive eco- systems contamination was conducted and the priority steps in developing the concept of ecosystem services in conditions of radiation contamination were found. Conclusions. The current socio-ecological paradigm of the transition from environmental use to environmental management should be refl ected in the relevant envi- ronmental management mechanisms. Currently, when assessing the state of ecosystem services in Ukraine and worldwide one must take into account the changes in food demand of residents of radioactively contaminated areas, the exploitation of radioactively safe ecosystems growth, their overload and degradation. All of this re- quires an inventory of ecosystem services by type, region, consumers, etc. and the formation of a state register of ecosystem services with a clear assignment of area of responsibility for appropriate natural ecosystems. This will help to make the economic evaluation of different ecosystem services and mechanisms of charges for ecosystem services.

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