首页|陕西神木弃耕1-49年的苜蓿地土壤理化特性和植物物种多样性数据集

陕西神木弃耕1-49年的苜蓿地土壤理化特性和植物物种多样性数据集

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在半干旱地区,弃耕苜蓿地的面积在持续增加。明确长期弃耕苜蓿地的土壤含水量、土壤容重、土壤孔隙度、土壤饱和导水率、土壤pH值、土壤氨态氮、土壤硝态氮、土壤有效磷、土壤有机碳、土壤全氮、Margalef指数、Pielou指数、Simpson指数和Shannon-Wiener指数的变化,对半干旱地区植被恢复具有重要意义。本数据集收集于陕西神木侵蚀与环境国家野外科学观测研究站(简称"神木站"),分别于 2003年(1-30 年)、2014年(12-41年)和 2022年(20-49 年)对不同弃耕时间的紫花苜蓿地进行了调查,调查获得土壤理化特性和植物物种多样性数据。本数据集在野外调查、室内测定、数据计算、数据入库、质量控制方面均严格按照国际观测技术标准进行,所获取数据质量高,数据可为半干旱地区苜蓿地演替过程等方面研究提供数据基础。
A dataset of soil physicochemical characteristics and plant species diversity in abandoned alfalfa fields(1-49 years)in Shenmu,Shaanxi Province
The abandonment of alfalfa fields is on the rise in semi-arid regions.It is important to clarify the changes of soil water content,soil bulk density,soil porosity,soil saturated water conductivity,soil pH,soil NH4-N,NO3-N,soil available phosphorus,soil organic carbon,soil total nitrogen,Margalef index,Pielou index,Simpson index,and Shannon-Wiener index in abandoned alfalfa fields,which is essential for vegetation restoration efforts in semi-arid areas.This dataset is credited to the National Field Scientific Observation and Research Station of Shenmu Erosion and Environment in Shaanxi Province(also referred to as Shenmu Station).we conducted surveys on alfalfa fields in 2003,2014,and 2022 with varying abandonment periods(1-30 years,12-41 years,and 20-49 years,respectively)to obtain data on soil physicochemical characteristics and plant species diversity.This dataset was compiled in strict adherence to international observation technical standards,including field investigations,laboratory measurements,data calculations,data storage,and quality control procedures.The high-quality data can serve as solid foundation for the study of alfalfa succession process in semi-arid areas.

Shenmu Stationalfalfa fields of abandoned 1-49 yearssoil physical and chemical characteristicsplant species diversity

张倩、樊军、贾沐霖

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西北农林科技大学黄土高原土壤侵蚀与旱作农业国家重点实验室,陕西杨凌 712100

西北农林科技大学资源环境学院,陕西杨凌 712100

中国科学院水利部水土保持研究所,陕西杨凌 712100

神木站 1-49年弃耕苜蓿地 土壤理化特性 植物物种多样性

2024

中国科学数据(中英文网络版)

中国科学数据(中英文网络版)

CSTPCD
ISSN:2096-2223
年,卷(期):2024.9(1)
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