Ecosystem Health Assessment of World Natural Heritage Sites Based on Remote Sensing and Field Sampling Verification: Bayanbulak as Case Study
Monitoring the ecosystem health for world natural heritage sites is essential for protecting them and benefits the formulation of more targeted protection policies. This study used Bayanbulak world natural heritage site as a case, established a framework for assessing the ecosystem health through re...
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-03-01
|
Series: | Sustainability |
Subjects: | |
Online Access: | https://www.mdpi.com/2071-1050/12/7/2610 |
id |
doaj-3b9c9ef7ff774a5384e8be3bc86bf84c |
---|---|
record_format |
Article |
spelling |
doaj-3b9c9ef7ff774a5384e8be3bc86bf84c2020-11-25T01:44:36ZengMDPI AGSustainability2071-10502020-03-01127261010.3390/su12072610su12072610Ecosystem Health Assessment of World Natural Heritage Sites Based on Remote Sensing and Field Sampling Verification: Bayanbulak as Case StudyZhi Wang0Zhaoping Yang1Hui Shi2Fang Han3Qin Liu4Jianwei Qi5Yayan Lu6State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences, Urumqi 830011, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences, Urumqi 830011, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences, Urumqi 830011, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences, Urumqi 830011, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences, Urumqi 830011, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences, Urumqi 830011, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences, Urumqi 830011, ChinaMonitoring the ecosystem health for world natural heritage sites is essential for protecting them and benefits the formulation of more targeted protection policies. This study used Bayanbulak world natural heritage site as a case, established a framework for assessing the ecosystem health through remote sensing based on the parameters of ecosystem vigour, organization, resilience, and services. Then, we verified the obtained results through field sampling. The results show that the ecosystem health in the overall study area had declined over time, however, the health within the property zone remained at high levels and stable. The area proportion of low health was low and primarily distributed in the buffer zone. Thus, in general, the ecosystem in the study area was healthy. Besides, the ecosystem health exhibited distinct spatial agglomeration characteristics, and the degree of agglomeration enhanced over time. In addition, the field vegetation samplings were consistent with the changes in the ecosystem health levels, therefore, the result of RS monitoring of ecosystem health were credible. Thus, this study provides a scientific basis for heritage managers to formulate suitable ecological protection policies and should aid further research on the ecological monitoring of heritage sites.https://www.mdpi.com/2071-1050/12/7/2610world natural heritage conservationheritage monitoringspatial autocorrelationfield vegetation verificationvors model |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zhi Wang Zhaoping Yang Hui Shi Fang Han Qin Liu Jianwei Qi Yayan Lu |
spellingShingle |
Zhi Wang Zhaoping Yang Hui Shi Fang Han Qin Liu Jianwei Qi Yayan Lu Ecosystem Health Assessment of World Natural Heritage Sites Based on Remote Sensing and Field Sampling Verification: Bayanbulak as Case Study Sustainability world natural heritage conservation heritage monitoring spatial autocorrelation field vegetation verification vors model |
author_facet |
Zhi Wang Zhaoping Yang Hui Shi Fang Han Qin Liu Jianwei Qi Yayan Lu |
author_sort |
Zhi Wang |
title |
Ecosystem Health Assessment of World Natural Heritage Sites Based on Remote Sensing and Field Sampling Verification: Bayanbulak as Case Study |
title_short |
Ecosystem Health Assessment of World Natural Heritage Sites Based on Remote Sensing and Field Sampling Verification: Bayanbulak as Case Study |
title_full |
Ecosystem Health Assessment of World Natural Heritage Sites Based on Remote Sensing and Field Sampling Verification: Bayanbulak as Case Study |
title_fullStr |
Ecosystem Health Assessment of World Natural Heritage Sites Based on Remote Sensing and Field Sampling Verification: Bayanbulak as Case Study |
title_full_unstemmed |
Ecosystem Health Assessment of World Natural Heritage Sites Based on Remote Sensing and Field Sampling Verification: Bayanbulak as Case Study |
title_sort |
ecosystem health assessment of world natural heritage sites based on remote sensing and field sampling verification: bayanbulak as case study |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2020-03-01 |
description |
Monitoring the ecosystem health for world natural heritage sites is essential for protecting them and benefits the formulation of more targeted protection policies. This study used Bayanbulak world natural heritage site as a case, established a framework for assessing the ecosystem health through remote sensing based on the parameters of ecosystem vigour, organization, resilience, and services. Then, we verified the obtained results through field sampling. The results show that the ecosystem health in the overall study area had declined over time, however, the health within the property zone remained at high levels and stable. The area proportion of low health was low and primarily distributed in the buffer zone. Thus, in general, the ecosystem in the study area was healthy. Besides, the ecosystem health exhibited distinct spatial agglomeration characteristics, and the degree of agglomeration enhanced over time. In addition, the field vegetation samplings were consistent with the changes in the ecosystem health levels, therefore, the result of RS monitoring of ecosystem health were credible. Thus, this study provides a scientific basis for heritage managers to formulate suitable ecological protection policies and should aid further research on the ecological monitoring of heritage sites. |
topic |
world natural heritage conservation heritage monitoring spatial autocorrelation field vegetation verification vors model |
url |
https://www.mdpi.com/2071-1050/12/7/2610 |
work_keys_str_mv |
AT zhiwang ecosystemhealthassessmentofworldnaturalheritagesitesbasedonremotesensingandfieldsamplingverificationbayanbulakascasestudy AT zhaopingyang ecosystemhealthassessmentofworldnaturalheritagesitesbasedonremotesensingandfieldsamplingverificationbayanbulakascasestudy AT huishi ecosystemhealthassessmentofworldnaturalheritagesitesbasedonremotesensingandfieldsamplingverificationbayanbulakascasestudy AT fanghan ecosystemhealthassessmentofworldnaturalheritagesitesbasedonremotesensingandfieldsamplingverificationbayanbulakascasestudy AT qinliu ecosystemhealthassessmentofworldnaturalheritagesitesbasedonremotesensingandfieldsamplingverificationbayanbulakascasestudy AT jianweiqi ecosystemhealthassessmentofworldnaturalheritagesitesbasedonremotesensingandfieldsamplingverificationbayanbulakascasestudy AT yayanlu ecosystemhealthassessmentofworldnaturalheritagesitesbasedonremotesensingandfieldsamplingverificationbayanbulakascasestudy |
_version_ |
1725027699621101568 |