Khorloo Batpurev - Academia.edu (original) (raw)
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Papers by Khorloo Batpurev
Wildlife Research, Jul 26, 2022
Ocean & Coastal Management, Apr 1, 2022
Ecological Economics, Mar 1, 2021
There is widespread concern that the condition of rangelands in the Gobi Desert is declining. Opi... more There is widespread concern that the condition of rangelands in the Gobi Desert is declining. Opinions differ about how to translate these concerns into a defensible assessment of condition. Finding common ground is essential because condition measurements influence land-use decisions on large scales. We created 'condition metrics' for three Gobi Desert ecosystems. We do not use the word 'condition' to mean simply 'the measurable conditions' (attributes, observable state) of a site. Rather, we use it to describe the evaluated or judged 'condition' (health, desirability, goodness). The metrics explicitly represent the consensus view of a large (n = 92) and diverse stakeholder group, including nomadic pastoralists, botanists, wildlife ecologists and policymakers. The metrics were created by training models (regression trees) to predict stakeholder evaluation scores from site variables. These models can be used as metrics to produce a score for any site, on a scale of 0-100. We demonstrate using field tests that the metrics are practical to implement, sensitive to changes caused by management intervention, and produce scores which approximate the consensus view among stakeholders. There is a high level of redundancy among site variables, suggesting the metrics could be simplified for remotesensing applications, where only some attributes are detectable. We conclude that the metrics are useful for evaluating rangeland condition in the Gobi Desert, and that the metrics represent the consensus opinion of a range of stakeholders. Our methods are applicable to ecosystem evaluation worldwide.
Australasian plant conservation : journal of the Australian network for plant conservation, Aug 1, 2019
Ocean & Coastal Management, 2022
Ecological Management & Restoration, 2021
Conservation Science and Practice, 2021
Ecological Economics, 2021
Abstract There is widespread concern that the condition of rangelands in the Gobi Desert is decli... more Abstract There is widespread concern that the condition of rangelands in the Gobi Desert is declining. Opinions differ about how to translate these concerns into a defensible assessment of condition. Finding common ground is essential because condition measurements influence land-use decisions on large scales. We created ‘condition metrics’ for three Gobi Desert ecosystems. We do not use the word ‘condition’ to mean simply ‘the measurable conditions’ (attributes, observable state) of a site. Rather, we use it to describe the evaluated or judged ‘condition’ (health, desirability, goodness). The metrics explicitly represent the consensus view of a large (n = 92) and diverse stakeholder group, including nomadic pastoralists, botanists, wildlife ecologists and policymakers. The metrics were created by training models (regression trees) to predict stakeholder evaluation scores from site variables. These models can be used as metrics to produce a score for any site, on a scale of 0–100. We demonstrate using field tests that the metrics are practical to implement, sensitive to changes caused by management intervention, and produce scores which approximate the consensus view among stakeholders. There is a high level of redundancy among site variables, suggesting the metrics could be simplified for remote-sensing applications, where only some attributes are detectable. We conclude that the metrics are useful for evaluating rangeland condition in the Gobi Desert, and that the metrics represent the consensus opinion of a range of stakeholders. Our methods are applicable to ecosystem evaluation worldwide.
Wildlife Research, Jul 26, 2022
Ocean & Coastal Management, Apr 1, 2022
Ecological Economics, Mar 1, 2021
There is widespread concern that the condition of rangelands in the Gobi Desert is declining. Opi... more There is widespread concern that the condition of rangelands in the Gobi Desert is declining. Opinions differ about how to translate these concerns into a defensible assessment of condition. Finding common ground is essential because condition measurements influence land-use decisions on large scales. We created 'condition metrics' for three Gobi Desert ecosystems. We do not use the word 'condition' to mean simply 'the measurable conditions' (attributes, observable state) of a site. Rather, we use it to describe the evaluated or judged 'condition' (health, desirability, goodness). The metrics explicitly represent the consensus view of a large (n = 92) and diverse stakeholder group, including nomadic pastoralists, botanists, wildlife ecologists and policymakers. The metrics were created by training models (regression trees) to predict stakeholder evaluation scores from site variables. These models can be used as metrics to produce a score for any site, on a scale of 0-100. We demonstrate using field tests that the metrics are practical to implement, sensitive to changes caused by management intervention, and produce scores which approximate the consensus view among stakeholders. There is a high level of redundancy among site variables, suggesting the metrics could be simplified for remotesensing applications, where only some attributes are detectable. We conclude that the metrics are useful for evaluating rangeland condition in the Gobi Desert, and that the metrics represent the consensus opinion of a range of stakeholders. Our methods are applicable to ecosystem evaluation worldwide.
Australasian plant conservation : journal of the Australian network for plant conservation, Aug 1, 2019
Ocean & Coastal Management, 2022
Ecological Management & Restoration, 2021
Conservation Science and Practice, 2021
Ecological Economics, 2021
Abstract There is widespread concern that the condition of rangelands in the Gobi Desert is decli... more Abstract There is widespread concern that the condition of rangelands in the Gobi Desert is declining. Opinions differ about how to translate these concerns into a defensible assessment of condition. Finding common ground is essential because condition measurements influence land-use decisions on large scales. We created ‘condition metrics’ for three Gobi Desert ecosystems. We do not use the word ‘condition’ to mean simply ‘the measurable conditions’ (attributes, observable state) of a site. Rather, we use it to describe the evaluated or judged ‘condition’ (health, desirability, goodness). The metrics explicitly represent the consensus view of a large (n = 92) and diverse stakeholder group, including nomadic pastoralists, botanists, wildlife ecologists and policymakers. The metrics were created by training models (regression trees) to predict stakeholder evaluation scores from site variables. These models can be used as metrics to produce a score for any site, on a scale of 0–100. We demonstrate using field tests that the metrics are practical to implement, sensitive to changes caused by management intervention, and produce scores which approximate the consensus view among stakeholders. There is a high level of redundancy among site variables, suggesting the metrics could be simplified for remote-sensing applications, where only some attributes are detectable. We conclude that the metrics are useful for evaluating rangeland condition in the Gobi Desert, and that the metrics represent the consensus opinion of a range of stakeholders. Our methods are applicable to ecosystem evaluation worldwide.