%0 Dataset
%T Dataset of Leaf Traits of Desert Plants under Drought Treatments in the Fukang Desert Region (2024–2025)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/d74f9f5e-7822-4329-898d-3862e64dd673
%W NCDC
%R 10.12072/ncdc.db7763.2026
%A Zhang Bo
%K Keywords desert plants;drought treatment;precipitation reduction;root shape;plant functional traits;drought adaptation
%X This dataset collects data on leaf functional characteristics of desert plants under drought treatment in the Fukang desert area of Xinjiang from 2024 to 2025, aiming to reveal the response characteristics of leaf morphological and physiological characteristics of desert plants under reduced precipitation conditions and their drought adaptation strategies. The test set up natural precipitation control (CK) and drought treatment (Dro) with a 50% reduction in precipitation. Field surveys and sample collection were carried out from April 15 to May 15 every year. A 1 m × 1 m sample square was set up in the test area to collect mature, complete and healthy plant leaves. The data set contains a total of 96 observation records. The main indicators include single leaf area, leaf thickness, stomatal size, stomatal density, cuticle thickness, leaf dry matter content, chlorophyll content and proline content, etc., and record the year, treatment, repeat block and sample site latitude and longitude information. This dataset can provide basic data support for clarifying the functional response of desert plants to precipitation reduction, drought adaptation mechanisms, and the response of arid area vegetation to climate change.This dataset contains data on leaf functional characteristics of desert plants under different precipitation treatments from 2024 to 2025, with a total of 96 observation records. The data was set up with two treatments: control (CK) and precipitation reduction (Dro), including year, quadrat, precipitation treatment, duplicate blocks, and plant leaf morphology and physiological characteristics. The main measurement indicators include single leaf area (LA), leaf thickness (LT), stomatal size (SL), stomatal density (SD), cuticle thickness (CT), leaf dry matter content (LDMC), chlorophyll content (Chl) and proline content (Pro), etc., and the latitude and longitude information of various sites were recorded. This data can be used to analyze the leaf morphologica