碳(C)、氮(N)和磷(P)通常被认为是所有生物最重要的元素[1]，在调节植物初级生产力、能量流、物质循环和捕食方面起着至关重要的作用[2]。C、N和P含量及其比值的变化与光合作用、植物呼吸、N2固定和有机质矿化等过程密切相关[3]。因此，探索C、N和P化学计量可以帮助我们更好地理解森林生态系统中的营养模式及其在环境变化下对生态系统过程的潜在影响[4]。青藏高原东北部的祁连山地区生境多样，地理分布广泛[5]，为验证和探索土壤C:N:P化学计量学的新趋势提供了极好的机会。本数据涵括祁连山青海云杉0 -40 cm（0-10cm、10-20cm、20-30cm、30-40cm）表层土壤的C、N、P含量，数据结果有助于理解干旱区森林生态系统C:N:P宏观生态格局，为干旱区未来的森林栽培和经营提供基础数据。", "ds_source": "
实验数据。", "ds_process_way": "
土壤总氮、总磷数据由Smartchem200全自动化学分析仪测定；土壤有机碳采用重铬酸钾高温-外加热法测定。", "ds_quality": "
每个样方内按“S”型均匀布设 5个土壤采样点，相邻采样点直线间距5 m，采样点距离树干2 m。除去表层凋落物后，于各土壤采样点挖取深度为40 cm的土壤剖面，按 0-10 cm、10-20 cm 及 20-40 cm 3 个层次分别采集环刀土，用于土壤含水量和容重的测定；另在各采样点，用直径为5 cm的土钻分层(0-10 cm、10-20 cm和20-40 cm)采集土壤样品，将相同土层的样品混合装入自封袋低温保鲜运回实验室。采用Smartchem200全自动化学分析仪测定土壤总氮、总磷。仪器采用高精度数字检测器、分辨率高达0.0001Abs。使用重铬酸钾高温-外加热法测定土壤有机碳含量：一定浓度的重铬酸钾一硫酸溶液，在加热恒温的条件下(180℃沸腾5分钟)氧化有机质(碳)，剩余的重铬酸钾以邻非罗啉为指示剂，用硫酸亚铁标准溶液进行滴定，以氧化耗去重铬酸钾的量来计算出有机碳的含量。", "ds_acq_start_time": "2018-01-01 00:00:00", "ds_acq_end_time": "2020-12-31 00:00:00", "ds_acq_place": "祁连山国家森林公园", "ds_acq_lon_east": 103.83999999999999, "ds_acq_lat_south": 36.68611111111111, "ds_acq_lon_west": 97.88611111111112, "ds_acq_lat_north": 39.61277777777778, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 2270862, "ds_files_count": 3, "ds_format": "nc", "ds_space_res": "1度", "ds_time_res": "日", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "a791c88b-275c-4fc6-ae8f-f9f2bcf99e28.jpg", "ds_thumb_from": 2, "ds_ref_way": "勾晓华, 刘建国，祁连山森林土壤数据集（2018-2020年），国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2023，doi：10.12072/ncdc.nieer.db2748.2023", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "52109486-75ef-4764-a933-6380c6f42432", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "10.12072/ncdc.nieer.db2748.2023", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2023-02-28 16:03:23", "last_updated": "2023-03-01 10:52:00", "protected": false, "protected_to": "2025-01-01 00:00:00", "lang": "zh", "cstr": "11738.11.ncdc.nieer.db2748.2023", "i18n": { "en": { "title": "Qilian Mountain Forest Soil Data Set (2018-2020)", "ds_format": "", "ds_source": "
& emsp; Experimental data.", "ds_quality": "
& emsp; Five soil sampling points shall be uniformly arranged in each sample according to the \"S\" shape, with a linear spacing of 5 m between adjacent sampling points and a distance of 2 m from the tree trunk. After the surface litter is removed, the soil profile with a depth of 40 cm is dug at each soil sampling point, and the soil samples are collected in three layers of 0-10 cm, 10-20 cm and 20-40 cm respectively for the determination of soil water content and bulk density; In addition, at each sampling point, soil samples are collected by layers (0-10 cm, 10-20 cm and 20-40 cm) with a soil drill with a diameter of 5 cm, and the samples of the same soil layer are mixed into a self-sealing bag for low-temperature preservation and transported back to the laboratory. Smartchem 200 automatic chemical analyzer was used to determine total nitrogen and total phosphorus in soil. The instrument adopts high-precision digital detector with resolution up to 0.0001Abs. Use potassium dichromate high-temperature external heating method to determine the content of soil organic carbon: a certain concentration of potassium dichromate-sulfuric acid solution oxidizes organic matter (carbon) under the condition of heating constant temperature (180 ℃ boiling for 5 minutes), and the remaining potassium dichromate is titrated with ferrous sulfate standard solution using o-phenanthroline as indicator, and the content of organic carbon is calculated by the amount of potassium dichromate consumed by oxidation.", "ds_ref_way": "", "ds_abstract": "
\n& emsp; The Paleoclimate Simulation Comparison Program (PMIP) is an international program that uses climate models to understand past climate change and predict future climate change. Its third phase (PMIP3) further strengthens the connection with the Fifth International Coupled Model Comparison Program (CMIP5). This data uses the paleoclimate model of PMIP3/CMIP5 plan to obtain the basic meteorological element data of temperature, precipitation and evaporation of MH, PI, LIA and MWP. The metadata file has 6 layers in total. MH-PI temperature data; MCA-LIA temperature data; MH-PI precipitation data; MCA-LIA precipitation data; MH-PI evaporation data; MCA-LIA evaporation data.
", "ds_time_res": "日", "ds_acq_place": "Qilian Mountain National Forest Park", "ds_space_res": "1度", "ds_projection": "", "ds_process_way": "& emsp; The data of soil total nitrogen and total phosphorus were determined by Smartchem200 automatic chemical analyzer; Soil organic carbon was determined by potassium dichromate high-temperature external heating method.", "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": [ "祁连山", "土壤C、N、P含量", "森林生态系统" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "祁连山国家森林公园" ], "ds_time_tags": [ 2018, 2019, 2020 ], "ds_contributors": [ { "true_name": "刘建国", "email": "liujg@nwnu.edu.cn", "work_for": "兰州大学", "country": "中国" }, { "true_name": "勾晓华", "email": "xhgou@lzu.edu.cn", "work_for": "兰州大学西部环境教育部重点实验室", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "刘建国", "email": "liujg@nwnu.edu.cn", "work_for": "兰州大学", "country": "中国" } ], "ds_managers": [ { "true_name": "勾晓华", "email": "xhgou@lzu.edu.cn", "work_for": "兰州大学西部环境教育部重点实验室", "country": "中国" } ], "category": "其他" }