木里矿区修复成效需要考虑流域生态系统的稳定性、恢复力和抵抗力。利用矿区流域植被净生产力数据（NPP，时空范围为木里矿区流域，时间分辨率为年，空间分辨率为500米），通过生态系统稳定性、恢复力和抵抗力计算公式逐个像元进行计算获得。", "ds_source": "
采用MODIS13A1 NPP数据产品（https://www.earthdata.nasa.gov/data/catalog/lpcloud-mod13a1-061）计算而成。\n数据时间范围为：恢复力选择2016-2022年；抵抗力2000-2022年；稳定性1期", "ds_process_way": "
在GEE和python环境中计算。\n稳定性为指标的平均值与其标准偏差的比值，公式为：Stability = Mean/s.d.\n
抵抗力指的是受到外部压力后生态系统的抵抗能力，公式为：Resistance(t) = 1 - 2|D|/（C0+|D0|）\n
恢复力指的是在某一时间点施加压力后生态系统的恢复情况，公式为：Resilience = 2|D|/(|D0|+|Dx|)-1", "ds_quality": "
经野外样地调查，精度在90%以上。", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2023-12-31 00:00:00", "ds_acq_place": "木里流域", "ds_acq_lon_east": 99.795, "ds_acq_lat_south": 37.81111111111111, "ds_acq_lon_west": 98.86666666666666, "ds_acq_lat_north": 38.32694444444445, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 1200637119, "ds_files_count": 0, "ds_format": "*.tif", "ds_space_res": "500", "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "934bc04c-762d-4a76-951c-c3793c3a3888.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "5b99d600-008a-4069-8fc3-7adb9c3f2f8b", "ds_serv_man": null, "ds_serv_phone": null, "ds_serv_mail": null, "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 0, "publish_time": "2026-06-11 15:51:47", "last_updated": "2026-06-11 15:51:47", "protected": false, "protected_to": "2027-10-01 00:00:00", "lang": "zh", "cstr": null, "i18n": { "en": { "title": "Data set on ecosystem stability, resistance and resilience in Muli River Basin, Qinghai Province (2000-2023)", "ds_format": "*.tif", "ds_source": "
The NPP productions were downloaded from https://www.earthdata.nasa.gov/data/catalog/LPOD-MOD13A1_061 and were used to calculate the ecosystem's stability, resistance, and resilience. The dataset covers the period from 2016 to 2022 for ecosystem resilience, and from 2000 to 2022 for ecosystem resistance.", "ds_quality": "
Accroding to field survey, the accuracy is above 90%.", "ds_ref_way": "", "ds_abstract": "
In order to assess the rehabilitation of the Muli mining area, it is necessary to consider its ecosystem stability, resistance and resilience comprehensively. Using net primary productivity (NPP) data covering the Muli mining area with a yearly resolution and a spatial resolution of 500 metres, we can calculate the stability, resistance and resilience of the ecosystem pixel by pixel based on the relevant equations.", "ds_time_res": "", "ds_acq_place": "Muli Basin", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
Ecosystem stability, resistance and resilience were calculated using Google Earth Engine and the Python computing environment. Ecosystem stability is defined as the ratio of the mean to the standard deviation of the indicators (ecosystem stability = mean/standard deviation). Ecosystem resistance is an indicator used to evaluate the ecosystem's resistance after ambient forcing (resistance = 1 - 2 |D| / (C₀ + |D₀|)). Ecosystem resilience is the rehabilitation of the ecosystem after ambient forcing (resilience = 2|D|/(|D0| + |Dx|) - 1).", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "belong_to_nieer": false, "ds_topic_tags": [ "木里流域", "生态系统稳定性", "生态系统恢复力", "生态系统抵抗力" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "青海省", "木里流域" ], "ds_time_tags": [ 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 ], "ds_contributors": [ { "true_name": "李森", "email": "lisen@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": " 彭飞", "email": "pengfei@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "李森", "email": "lisen@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": " 彭飞", "email": "pengfei@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_managers": [ { "true_name": " 彭飞", "email": "pengfei@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "生态" }