Spatiotemporal Characteristics Prediction and Driving Factors Analysis of NPP in Shanxi Province Covering the Period 2001–2020

初级生产 环境科学 赫斯特指数 支持向量机 气候变化 生产力 时间序列 自然地理学 气候学 生态系统 气象学 环境资源管理 计算机科学 统计 地理 数学 机器学习 生态学 地质学 宏观经济学 生物 经济
作者
Wanru Ba,Haitao Qiu,Yong-gang Cao,Adu Gong
出处
期刊:Sustainability [MDPI AG]
卷期号:15 (15): 12070-12070 被引量:2
标识
DOI:10.3390/su151512070
摘要

The advent of a range of high-precision NPP products, including MODIS NPP, MOD17 NPP, and GIMMS NPP, has sparked growing interest in the study of Earth’s ecosystems. In order to enhance comprehension of ecosystem health, in order to facilitate the development of rational resource management and environmental conservation policies, this investigation employs the MOD17A3 dataset to analyze historical variations in Net Primary Productivity (NPP) within Shanxi Province from 2001 to 2020, while also exploring future trends. The Theil–Sen median trend analysis and Mann–Kendall test are commonly used methods for analyzing time series data, employed to study the spatiotemporal trends and variations in NPP. The Grey Wolf Optimization–Support Vector Machine (GWO–SVM) model combines optimization algorithms and machine learning methods, enhancing the predictive capacity of the model for future NPP time series changes. Conversely, the Hurst exponent utilizes historical NPP trends to assess the persistence characteristics of NPP and predict future spatial variations in NPP. This study additionally investigates the natural driving factors of NPP using the Geographic Detector approach. The key findings of this study are as follows. (1) Overall, NPP in Shanxi Province exhibits a fluctuating upward trend from 2001 to 2020, with an average value of 206.278 gCm−2a−1. Spatially, NPP exhibits a northwest–low and southeast–high pattern, with significant spatial heterogeneity and considerable variability. (2) The average Hurst exponent is 0.86, indicating a characteristic of strong persistence in growth in future NPP. Regions with strong or higher persistent growth account for 95.54% of the total area. (3) According to the CMIP6 climate scenarios, NPP is projected to gradually increase from 2025 to 2030. (4) The interactive effects between natural factors contribute more to NPP variations than individual factors, with the rainfall–elevation interaction having the highest contribution percentage.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
2秒前
2秒前
Ashley发布了新的文献求助10
4秒前
4秒前
4秒前
ppp完成签到,获得积分10
6秒前
bkagyin应助不安的橘子采纳,获得10
7秒前
cyk发布了新的文献求助10
7秒前
思路三完成签到,获得积分10
7秒前
8秒前
cleverpeach发布了新的文献求助10
9秒前
等待世平完成签到,获得积分10
10秒前
kiwi完成签到 ,获得积分10
12秒前
天天快乐应助红红采纳,获得30
13秒前
田様应助科研通管家采纳,获得10
13秒前
今后应助科研通管家采纳,获得10
13秒前
13秒前
14秒前
荣一发布了新的文献求助10
14秒前
科研通AI2S应助菠萝炒饭采纳,获得10
14秒前
曲初雪发布了新的文献求助100
16秒前
锦上添花完成签到 ,获得积分10
16秒前
优秀的盼夏完成签到,获得积分10
17秒前
duyu发布了新的文献求助10
17秒前
坦率的亦绿完成签到,获得积分20
18秒前
FashionBoy应助漂亮念真采纳,获得10
18秒前
Jasper应助小天采纳,获得30
18秒前
somous发布了新的文献求助10
19秒前
俊逸人生完成签到 ,获得积分20
19秒前
20秒前
臧真完成签到 ,获得积分10
20秒前
21秒前
Joe完成签到,获得积分10
22秒前
dudu应助joo采纳,获得10
22秒前
慕青应助joo采纳,获得10
22秒前
俊逸人生关注了科研通微信公众号
23秒前
威威完成签到,获得积分10
23秒前
Marcus发布了新的文献求助10
23秒前
高分求助中
Evolution 10000
ISSN 2159-8274 EISSN 2159-8290 1000
Becoming: An Introduction to Jung's Concept of Individuation 600
Heteroatom-Doped Carbon Allotropes: Progress in Synthesis, Characterization, and Applications 500
A new species of Coccus (Homoptera: Coccoidea) from Malawi 500
A new species of Velataspis (Hemiptera Coccoidea Diaspididae) from tea in Assam 500
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3159874
求助须知:如何正确求助?哪些是违规求助? 2810842
关于积分的说明 7889629
捐赠科研通 2469910
什么是DOI,文献DOI怎么找? 1315243
科研通“疑难数据库(出版商)”最低求助积分说明 630742
版权声明 602012