Data from: Adapting environmental management to uncertain but inevitable change
Implementation of adaptation actions to protect biodiversity is limited by uncertainty about the future. One reason for this is the fear of making the wrong decisions caused by the myriad future scenarios presented to decision-makers. We propose an adaptive management (AM) method for optimally manag...
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Format: | Dataset |
Language: | English |
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Dryad
2015
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Online Access: | https://doi.org/10.5061/dryad.hr05m |
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fttriple:oai:gotriple.eu:50|dedup_wf_001::b1cbc29a591305d6bc994ae5cf97ece7 2023-05-15T15:48:28+02:00 Data from: Adapting environmental management to uncertain but inevitable change Nicol, Sam C. Fuller, Richard A. Iwamura, Takuya Chades, Iadine Fuller, R. A. Iwamura, T. Chades, I. Nicol, S. 2015-01-01 https://doi.org/10.5061/dryad.hr05m en eng Dryad http://dx.doi.org/10.5061/dryad.hr05m https://dx.doi.org/10.5061/dryad.hr05m lic_creative-commons 10.5061/dryad.hr05m oai:easy.dans.knaw.nl:easy-dataset:89169 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:89169 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 re3data_____::r3d100000044 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c Symbolic Perseus Tringa brevipes Adaptive Management Charadrius mongolus Migratory birds East Asian-Australasian Flyway Numenius madagascariensis Calidris canutus Calidris ferruginea Limosa limosa Markov decision process Calidris tenuirostris Xenus cinereus climate change adaptation Australia China Korea New Zealand Borneo Yellow Sea Alaska Japan Indonesia Life sciences medicine and health care envir manag Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2015 fttriple https://doi.org/10.5061/dryad.hr05m 2023-01-22T16:50:54Z Implementation of adaptation actions to protect biodiversity is limited by uncertainty about the future. One reason for this is the fear of making the wrong decisions caused by the myriad future scenarios presented to decision-makers. We propose an adaptive management (AM) method for optimally managing a population under uncertain and changing habitat conditions. Our approach incorporates multiple future scenarios and continually learns the best management strategy from observations, even as conditions change. We demonstrate the performance of our AM approach by applying it to the spatial management of migratory shorebird habitats on the East Asian–Australasian flyway, predicted to be severely impacted by future sea-level rise. By accounting for non-stationary dynamics, our solution protects 25 000 more birds per year than the current best stationary approach. Our approach can be applied to many ecological systems that require efficient adaptation strategies for an uncertain future. gompertz_model_parametersParameters used in the Gompertz population models for each species. See supporting information S2 for further details of the model.POMDP_input_files.tarSymbolic Perseus POMDP input files for each species. See readme file for additional information.sea_level_rise_by_modelEstimated extent of sea level rise for each region and scenario with and without compensatory loss. For further details, see Iwamura, T (2012) Spatial conservation prioritisation under global threats: University of Queensland.network_capacitiesNode capacity (number of birds) for each species network model. Dataset Calidris canutus Alaska Limosa limosa Unknown New Zealand |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
English |
topic |
Symbolic Perseus Tringa brevipes Adaptive Management Charadrius mongolus Migratory birds East Asian-Australasian Flyway Numenius madagascariensis Calidris canutus Calidris ferruginea Limosa limosa Markov decision process Calidris tenuirostris Xenus cinereus climate change adaptation Australia China Korea New Zealand Borneo Yellow Sea Alaska Japan Indonesia Life sciences medicine and health care envir manag |
spellingShingle |
Symbolic Perseus Tringa brevipes Adaptive Management Charadrius mongolus Migratory birds East Asian-Australasian Flyway Numenius madagascariensis Calidris canutus Calidris ferruginea Limosa limosa Markov decision process Calidris tenuirostris Xenus cinereus climate change adaptation Australia China Korea New Zealand Borneo Yellow Sea Alaska Japan Indonesia Life sciences medicine and health care envir manag Nicol, Sam C. Fuller, Richard A. Iwamura, Takuya Chades, Iadine Fuller, R. A. Iwamura, T. Chades, I. Nicol, S. Data from: Adapting environmental management to uncertain but inevitable change |
topic_facet |
Symbolic Perseus Tringa brevipes Adaptive Management Charadrius mongolus Migratory birds East Asian-Australasian Flyway Numenius madagascariensis Calidris canutus Calidris ferruginea Limosa limosa Markov decision process Calidris tenuirostris Xenus cinereus climate change adaptation Australia China Korea New Zealand Borneo Yellow Sea Alaska Japan Indonesia Life sciences medicine and health care envir manag |
description |
Implementation of adaptation actions to protect biodiversity is limited by uncertainty about the future. One reason for this is the fear of making the wrong decisions caused by the myriad future scenarios presented to decision-makers. We propose an adaptive management (AM) method for optimally managing a population under uncertain and changing habitat conditions. Our approach incorporates multiple future scenarios and continually learns the best management strategy from observations, even as conditions change. We demonstrate the performance of our AM approach by applying it to the spatial management of migratory shorebird habitats on the East Asian–Australasian flyway, predicted to be severely impacted by future sea-level rise. By accounting for non-stationary dynamics, our solution protects 25 000 more birds per year than the current best stationary approach. Our approach can be applied to many ecological systems that require efficient adaptation strategies for an uncertain future. gompertz_model_parametersParameters used in the Gompertz population models for each species. See supporting information S2 for further details of the model.POMDP_input_files.tarSymbolic Perseus POMDP input files for each species. See readme file for additional information.sea_level_rise_by_modelEstimated extent of sea level rise for each region and scenario with and without compensatory loss. For further details, see Iwamura, T (2012) Spatial conservation prioritisation under global threats: University of Queensland.network_capacitiesNode capacity (number of birds) for each species network model. |
format |
Dataset |
author |
Nicol, Sam C. Fuller, Richard A. Iwamura, Takuya Chades, Iadine Fuller, R. A. Iwamura, T. Chades, I. Nicol, S. |
author_facet |
Nicol, Sam C. Fuller, Richard A. Iwamura, Takuya Chades, Iadine Fuller, R. A. Iwamura, T. Chades, I. Nicol, S. |
author_sort |
Nicol, Sam C. |
title |
Data from: Adapting environmental management to uncertain but inevitable change |
title_short |
Data from: Adapting environmental management to uncertain but inevitable change |
title_full |
Data from: Adapting environmental management to uncertain but inevitable change |
title_fullStr |
Data from: Adapting environmental management to uncertain but inevitable change |
title_full_unstemmed |
Data from: Adapting environmental management to uncertain but inevitable change |
title_sort |
data from: adapting environmental management to uncertain but inevitable change |
publisher |
Dryad |
publishDate |
2015 |
url |
https://doi.org/10.5061/dryad.hr05m |
geographic |
New Zealand |
geographic_facet |
New Zealand |
genre |
Calidris canutus Alaska Limosa limosa |
genre_facet |
Calidris canutus Alaska Limosa limosa |
op_source |
10.5061/dryad.hr05m oai:easy.dans.knaw.nl:easy-dataset:89169 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:89169 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 re3data_____::r3d100000044 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c |
op_relation |
http://dx.doi.org/10.5061/dryad.hr05m https://dx.doi.org/10.5061/dryad.hr05m |
op_rights |
lic_creative-commons |
op_doi |
https://doi.org/10.5061/dryad.hr05m |
_version_ |
1766383439263563776 |