2002-2017年新疆天山云杉区域生物量时空分布数据集

doi:10.19788/j.issn.2096-6369.100008

摘要/Abstract

摘要：

森林是陆地生态系统的核心部分，其生物量约占陆地生态系统总生物量90%，承担着65%以上的年碳固定量，在维持全球碳平衡、减缓温室气体增加等方面具有重要作用。天山云杉是新疆地区重要的林木资源，其种植覆盖面积为75 8600 hm²，占新疆维吾尔自治区天山区域总面积的42.33%，蓄积量为0.17 km³，占总蓄积量的50.66%，构建其生物量时空数据集，可为新疆维吾尔自治区天山区域碳固存潜力评估和天山云杉林保护与可持续经营实践提供科学依据。数据集以2002年、2007年、2012年和2017年天山云杉密集区野外样地调查和相关多源遥感影像资料为基础，利用时空地理加权回归(GTWR)模型拟合生成各时期生物量分布图。该数据集有助于探索天山云杉生长趋势和生物量变化，同时在新疆天山地区生态保护和气候变化研究领域具有科学价值，对区域生态系统管理具有实践意义。

数据摘要：

项目	描述
数据库（集）名称	2002-2017年新疆天山云杉区域生物量时空分布数据集
所属学科	生态学
研究主题	新疆天山云杉生物量
数据时间范围	2002-2017年
时间分辨率	年
数据地理空间覆盖	新疆维吾尔自治区天山区域，地理范围为41°48′-44°45′N，80°39′-87°44′E
空间分辨率	30m
数据类型与技术格式	XLSX格式，png格式
数据库（集）组成	数据集包括文本数据和图像数据，其中Excel文本数据汇集 2002年、2007年、2012年、2017年每期样地情况的新疆天山云杉密集区域结构数据；栅格图像数据包括地形数据如海拔，遥感数据如归一化植被指数，气象数据如年平均降水量、年平均径流深度、年平均向东风速和云杉密集区域生物量分布图。
数据量	21.5 MB
主要数据指标	生物量，数字高程，植被指数，降水量，径流深，风速
数据可用性 Data accessibility	DOI：10.57760/sciencedb.agriculture.00089 CSTR：17058.11.sciencedb.agriculture.00089 数据服务系统网址： https://agri.scidb.cn/preview?dataSetId=89ae131046bd42369f0930abc21a1e31&version=V1
经费支持	国家自然科学基金项目（32271880）；国家自然科学基金项目（31860180）

关键词: 天山云杉, 生物量, 时空地理加权, 时空分布

Abstract:

Forests constitute the central part of terrestrial ecosystems, encompassing approximately 90% of the total biomass. They are responsible for over 65% of the annual carbon sequestration, playing a crucial role in maintaining global carbon balance and mitigating the increase of greenhouse gases. Tianshan Spruce, a vital forest resource in the Xinjiang region, covers an area of 758,600 hectares, accounting for 42.33% of the total area, with a volume of 0.17 cubic kilometers, representing 50.66% of the total volume. Constructing a spatiotemporal biomass dataset of Tianshan Spruce provides a scientific basis for assessing the carbon sequestration potential and for the protection and sustainable management of these forests in the region. In recent years, biomass estimation models integrating multisource data like remote sensing, meteorological, topographic, and soil data have been widely adopted. The geographically weighted regression (GWR) method is particularly effective in addressing spatial heterogeneity issues in forestry and ecological applications. This study's dataset is grounded on field survey data from dense Tianshan Spruce areas collected in 2002, 2007, 2012, and 2017 by the project team, adhering to the forest survey technical procedures of the National Forestry and Grassland Administration, and on multisource remote sensing images from the Google Earth Engine. The geographically and temporally weighted regression (GTWR) model was employed to generate biomass distribution maps for each period. This dataset is instrumental in exploring the growth trends and biomass variations of Tianshan Spruce, holding scientific value for ecological protection and climate change research in the Tianshan area of Xinjiang. It has practical significance for regional ecosystem management. Additionally, it offers data support for identifying and protecting key ecological areas, assessing the impact of climate change on ecosystems, monitoring and simulating the carbon cycle processes in ecosystems, and contributing to global carbon budget research. Furthermore, it provides valuable data resources for researchers in ecosystem management and related fields.

Data Summary:

Item	Description
Dataset name	Spatial and Temporal Distribution of Biomass in Dense Regions of Tianshan Spruce in Xinjiang, 2002-2017
Specific subject area	Ecology
Research Topic	Xinjiang Tianshan spruce biomass
Time range	2002-2017
Temporal resolution	Year
Geographical scope	Tianshan region, Xinjiang Uygur Autonomous Region, with a geographic range of 41°48′-44°45′N，80°39′-87°44′E
Spatial resolution	30 m
Data types and technical formats	.XLSX, png
Dataset structure	The dataset includes text data and image data, of which the Excel text data are a compilation of structural data of dense areas of spruce in the Tianshan Mountains of Xinjiang for each period of the sample plots in 2002, 2007, 2012, and 2017; the raster image data include topographic data such as elevation, remotely sensed data such as the normalized vegetation index (NDVI), and meteorological data such as the average annual precipitation, average annual runoff depth, average annual eastward wind speed, and the map of the spruce biomass distribution.
Volume of dataset	21.5 MB
Key index in dataset	biomass, elevation, vegetation index, precipitation, runoff, wind speed
Data accessibility	DOI：10.57760/sciencedb.agriculture.00089 CSTR：17058.11.sciencedb.agriculture.00089 https://agri.scidb.cn/preview?dataSetId=89ae131046bd42369f0930abc21a1e31&version=V1
Financial support	National Natural Science Foundation of China(32271880)；National Natural Science Foundation of China(31860180)

Key words: Tianshan spruce, biomass, spatial and temporal geographic weighting, spatial and temporal distribution

胡啸琦, 胡林, 曹姗姗, 孙伟. 2002-2017年新疆天山云杉区域生物量时空分布数据集[J]. 农业大数据学报, 2024, 6(1): 24-32.

HU XiaoQi, HU Lin, CAO ShanShan, SUN Wei. Spatial and Temporal Distribution of Biomass in Dense Regions of Tianshan Spruce in Xinjiang, 2002-2017[J]. Journal of Agricultural Big Data, 2024, 6(1): 24-32.

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参考文献 21

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年份	类别	样本量	最小值(Mg/hm²)	最大值(Mg/hm²)	标准差(Mg/hm²)	平均值(Mg/hm²)
2002	生物量	297	15.85	372.65	76.46	132.67
2007	生物量	297	13.94	387.96	77.31	137.20
2012	生物量	297	12.45	403.39	80.24	146.60
2017	生物量	297	15.85	427.52	80.68	151.41

序号	结构数据	2002年	2007年	2012年	2017年	单位
1	海拔	1557-3058	1557-3058	1557-3058	1557-3058	m
2	归一化植被指数	0.35-0.90	-0.32-0.91	-0.36-0.92	0.34-0.91	—
3	绿色植被密度指数	0.20-0.86	-0.22-0.87	-0.20-0.87	0.19-0.77	—
4	降水总量	65.85-486.11	58.07-447.32	79.58-466.87	83.58-450.63	mm
5	最大降水	10.64-69.97	11.25-49.28	13.22-79.99	15.71-57.79	mm
6	最小降水	0-2.08	0-1.29	0-1.34	0-1.95	mm
7	径流深度	2.76-370.48	1.46-299.37	1.28-340.96	1.69-426.09	mm
8	最大径流	0.31-44.07	0.15-31.40	0.25-66.18	0.37-43.03	mm
9	最小径流	0.01-5.66	0-3.71	0-4.11	0-5.25	mm
10	向北风速	-0.27-1.19	-0.20-1.29	-0.33-1.24	-0.21-1.33	m/s
11	向东风速	-0.63-1.69	-0.66-1.47	-0.62-1.35	-0.59-1.36	m/s