Shortname:
Dr.Forest_T5.2
Name:
Dr.Forest_Task 5-2: Quantification of human health benefits and risks in three urban forests
Description:
In the three Case Study areas, local stakeholder workshops will be held (Task 6-2), drawing on local expert knowledge in order to co-create realistic forest diversification scenarios and to understand which human health-related benefits and risks are most important in the respective area. After obtaining these scenarios, the BBNs from Task 5-1 will be used to calculate the change in human health risks and benefits, applying both the midpoint and endpoint (DALYs) indicators. In a final step, local stakeholders will discuss the impact of various forest diversification scenarios on the respective human health risks and benefits. The workshop further generates applicable knowledge that subsequently serves to inform and guide local management and national/international policy development rationales by linking to established platforms (see Parts IV B, C and VI).
Created at:
2020-03-23
Updated at:
2020-03-23
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Aletta
Bonn
Bonn
Roles:
Principle investigator
Principle investigator
Owner of:
4 Datasets
4 Datasets
Involved in:
1 Projects
E-Mail
Profile
1 Projects
Ulrich
Schraml
Schraml
Roles:
2nd Principle investigator
2nd Principle investigator
Owner of:
0 Datasets
0 Datasets
Involved in:
3 Projects
E-Mail
Profile
3 Projects
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Dr.Forest_Data T1_T2.1_Forest Bathing Study_questionnaires
Abstract:
The present dataset was collected as part of WP1 (forest biodiversity and mental health and well-being), as well as WP2 (forest biodiversity and subjective microclimate) in three peri-urban forests in vicinity of the cities of Leipzig (Germany), V...
Id:
569
Users:
7
Projects:
4
Datafiles:
1
Attachments:
0
Created at:
2022-06-20
Updated at:
2022-06-20
Dr.Forest T1.2 Mean Acoustic Indices _daytime_spring_including_BioacousticBirdrichness_complete dataset_forBBNs
Abstract:
This dataset belongs to Dr. Forest's task T1.2 "Sensory experience of biodiversity via soundscapes." and contains mean values for daytime (dawn till dusk) acoustic indices in spring 2021 and 2022. Its is derived from the dataset: "Dr.Forest T1.2 ...
Id:
587
Users:
2
Projects:
3
Datafiles:
1
Attachments:
0
Created at:
2023-08-18
Updated at:
2024-03-12
Dr.Forest_T1_T2.1_Forest Bathing Study_data_questionnaires
Abstract:
The present dataset was collected as part of WP1 (forest biodiversity and mental health and well-being), as well as WP2 (forest biodiversity and subjective microclimate) in three peri-urban forests in vicinity of the cities of Leipzig (Germany), V...
Id:
557
Users:
7
Projects:
4
Datafiles:
1
Attachments:
0
Created at:
2022-02-10
Updated at:
2022-02-16
No information available
No information available
No information available