全球基于自然的解决方案在农业研究中的演进脉络、驱动机制与中国路径

doi:10.3864/j.issn.0578-1752.2026.19.011

中国农业科学 ›› 2026, Vol. 59 ›› Issue (19): 4323-4334.doi: 10.3864/j.issn.0578-1752.2026.19.011

• 专题：基于自然的解决方案：绿色农业转型的研究范式与中国实践 • 上一篇下一篇

全球基于自然的解决方案在农业研究中的演进脉络、驱动机制与中国路径

梁晓贺¹(), 王琦¹, 雷洁¹, 周加加², 吴俣¹(), 周爱莲¹()

¹ 中国农业科学院农业信息研究所/农业农村部区块链农业应用重点实验室北京 100081
² 中国农业科学院生物技术研究所，北京 100081

收稿日期:2026-04-09 接受日期:2026-06-23 出版日期:2026-10-01 发布日期:2026-10-10
通信作者:
吴俣，E-mail：wuyu20@mails.ucas.ac.cn。
周爱莲，E-mail：zhouailian@caas.cn
联系方式: 梁晓贺，E-mail：lingxiaohe@caas.cn。
基金资助:
国家重点研发计划(2023YFE0105000); 中国农业科学院农业信息研究所公益性科研院所基本科研业务费专项资金(JBYW-AII-2024-34)

Evolutionary Trajectory, Driving Mechanisms, and China’s Pathway in Global Nature-Based Solutions for Agricultural Research

LIANG XiaoHe¹(), WANG Qi¹, LEI Jie¹, ZHOU JiaJia², WU Yu¹(), ZHOU AiLian¹()

¹ Agricultural Information Institute, Chinese Academy of Agricultural Sciences/Key Laboratory of Agricultural Blockchain Application, Ministry of Agriculture and Rural Affairs, Beijing 100081
² Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081

Received:2026-04-09 Accepted:2026-06-23 Published:2026-10-01 Online:2026-10-10

摘要/Abstract

摘要：

在全球气候变化加剧与粮食安全面临多重挑战的时代背景下，基于自然的解决方案（nature-based solutions，NbS）正成为引领农业绿色转型的关键范式。本文系统梳理国际与国内NbS农业研究的演进逻辑，识别高影响力成果的驱动要素，剖析我国在该领域面临的本土化困境与制度瓶颈，为构建具有中国特色的农业NbS理论体系与全球协同路径提供决策依据。基于Web of Science与CNKI数据库，本文采用文献计量与多元回归相结合的量化分析框架。运用科学知识图谱提炼国内外研究的核心议题与演变规律；同时构建多元回归模型，从合作网络、区域地缘、资源配置及学科交叉4个维度，定量测度影响全球NbS农业研究学术影响力的关键机制。国际NbS农业研究经历了理论奠基、应用拓展及机制深化与模型驱动3个递进阶段，聚合成农业生态系统协同增效机制、城市农业生态化转型路径、智能生态农业设施研发与NbS农业应用效益评估4大核心议题，呈现高度实证化与精细化特征。回归分析显示，资金投入、跨国协同与多学科交叉显著提升了研究的学术影响力。欧洲凭借制度化优势主导全球规则制定，中欧合作学术溢出效应显著，使中国成为连接西方理论与大规模落地验证的关键枢纽；欧美核心基金有效地将资源转化为学术话语权，我国国家级资助对前沿基础理论创新的驱动效应尚待加强。中文语境下的研究呈现宏观统筹与地方协同的双层驱动特征，研究重心逐步由宏观理念探讨向微观工程实践转移；但整体研究网络呈现离散性特征，学科分布高度集聚于环境科学与传统农林学科，尚未形成跨系统耦合的综合建模范式。因此，尽管我国NbS农业发文规模已居全球前列，但仍面临发文规模与国际影响力不匹配、研究偏重局部技术验证而缺乏系统整合、农业在NbS全局中战略地位相对弱化以及自主理论体系尚待完善等挑战。为此，未来应深化国际协作以共建标准化评估体系，引入社会生态技术系统分析框架以突破学科壁垒，强化顶层设计以提升农业NbS的科研战略权重；并致力于推动国际NbS框架与我国山水林田湖草沙生命共同体理念的深度融合，从而构建兼具中国特色与全球视野的NbS农业自主知识体系。

关键词: 基于自然的解决方案, 农业生态转型, 多元回归分析, 生态文明, 科学知识图谱, 农业绿色转型

Abstract:

Against the backdrop of intensifying global climate changes and multi-faceted challenges to food security, nature-based solutions (NbS) are emerging as a key paradigm driving the green transformation of agriculture. This paper systematically traced the evolutionary logic of international and domestic research on agricultural NbS, identified the driving factors of high-impact outputs, and analyzed the localization dilemmas and institutional bottlenecks faced by China. It aimed to provide a decision-making basis for constructing an agricultural NbS theoretical system with Chinese characteristics and exploring global collaborative pathways. Based on data from the Web of Science and CNKI databases, this study adopted a quantitative analytical framework combining bibliometrics and multiple regression analysis. Scientific knowledge mapping was utilized to extract the core topics and evolutionary patterns of domestic and international research. Meanwhile, a multiple regression model was constructed to quantitatively measure the key mechanisms influencing the academic impact of global agricultural NbS research from four dimensions: collaboration networks, regional geopolitics, resource allocation, and interdisciplinary integration. The findings indicated that international research on agricultural NbS has progressed through three successive stages: Theoretical foundation, application and expansion, and mechanism deepening and model-driven. These stages have coalesced into four core research clusters: synergistic enhancement mechanism of agro-ecosystems, pathways for the ecological transformation of urban agriculture, R&D of intelligent and eco-agricultural facilities, and assessment of benefits in agricultural NbS applications, exhibiting highly empirical and granular characteristics. Regression analysis revealed that funding inputs, transnational collaboration, and interdisciplinary integration significantly elevated academic impact. Europe dominated global rule-making by virtue of its institutional advantages, and the academic spillover effect of Sino-European collaboration was significant, establishing China as a critical hub connecting Western theories with large-scale practical verification. Core funding agencies in the US and Europe effectively translated resources into academic discourse power, whereas the driving effect of China's national-level funding on frontier basic theoretical innovation remains to be strengthened. Furthermore, research within the Chinese context presented a dual-driven feature of macro-level coordination and local-level collaboration, with the research focus gradually shifting from macro-concept discussions to micro-engineering practices. However, the overall research network exhibited fragmentation, and the disciplinary distribution was highly concentrated in environmental science and traditional agricultural and forestry disciplines, lacking a comprehensive modeling paradigm for cross-system coupling. Although China currently ranks among the global leaders in terms of publication volume in agricultural NbS, it still faces challenges, such as a mismatch between publication scale and international impact, an overemphasis on localized technical validation at the expense of systematic integration, a relatively marginalized strategic status of agriculture within the broader NbS agenda, and an incomplete autonomous theoretical system. Moving forward, future research should deepen international cooperation to co-build standardized evaluation metrics, introduce social-ecological-technical system (SETS) analytical frameworks to dissolve disciplinary barriers, and strengthen top-down design to elevate the strategic weight of agricultural NbS. Furthermore, efforts should be dedicated to promoting the deep integration of the international NbS framework with China’s philosophy of a “community of life for mountains, rivers, forests, farmlands, lakes, grasslands, and deserts” thereby constructing an autonomous knowledge system for agricultural NbS that encompasses both Chinese characteristics and a global vision.

Key words: nature-based solutions, agro-ecological transition, multiple regression analysis, ecological civilization, scientific knowledge mapping, agricultural green transformation

梁晓贺, 王琦, 雷洁, 周加加, 吴俣, 周爱莲. 全球基于自然的解决方案在农业研究中的演进脉络、驱动机制与中国路径[J]. 中国农业科学, 2026, 59(19): 4323-4334.

LIANG XiaoHe, WANG Qi, LEI Jie, ZHOU JiaJia, WU Yu, ZHOU AiLian. Evolutionary Trajectory, Driving Mechanisms, and China’s Pathway in Global Nature-Based Solutions for Agricultural Research[J]. Scientia Agricultura Sinica, 2026, 59(19): 4323-4334.

图/表 6

图1

图2

表1

表2

研究领域对NbS农业研究影响力的回归分析结果"

序号 Serial Number	变量 Variable	回归系数 Coefficient	标准误 Standard error	P值 P value
1	建筑工程技术Construction & building technology	0.3960	0.2510	0.1146
2	区域与城市规划Regional & urban planning	0.3300	0.1687	0.0505
3	生物保护 Biodiversity conservation	0.3252	0.1316	0.0135*
4	地球科学-跨学科 Geosciences-multidisciplinary	0.2844	0.1477	0.0541
5	气象学与大气科学Meteorology & atmospheric sciences	0.2699	0.1354	0.0462*
6	海洋与淡水生物学 Marine & freshwater biology	0.2605	0.2119	0.219
7	城市研究 Urban studies	0.2509	0.0653	0.0001***
8	环境工程 Engineering environmental	0.2137	0.1000	0.0326*
9	植物科学 Plant sciences	0.2020	0.0615	0.001**
10	地理学 Geography	0.1730	0.1877	0.3566
11	跨学科 Multidisciplinary	0.1589	0.0551	0.0039**
12	环境科学 Environmental sciences	0.1279	0.0523	0.0144*
13	生态学 Ecology	0.1260	0.0718	0.0793
14	渔业 Fisheries	0.1148	0.2470	0.6419
15	能源与燃料 Energy fuels	0.0959	0.3114	0.7581
16	土木工程 Engineering civil	0.0722	0.2027	0.7218
17	环境研究 Environmental studies	0.0679	0.0561	0.2256
18	公共、环境与职业健康Public, environmental & occupational health	0.0662	0.1917	0.7299
19	跨学科科学 Multidisciplinary sciences	-0.0015	0.2244	0.9946
20	自然地理学 Geography physical	-0.0097	0.2695	0.9714
21	林学 Forestry	-0.0285	0.0579	0.622
22	农业工程学 Agricultural engineering	-0.0909	0.2547	0.7211
23	水资源 Water resources	-0.0965	0.0799	0.2269
24	绿色可持续科学与技术 Green & sustainable science & technology	-0.1063	0.0846	0.2092
25	土壤科学 Soil science	-0.1189	0.1334	0.3729
26	遥感 Remote sensing	-0.1279	0.1673	0.4445
27	农学 Agronomy	-0.1630	0.1252	0.1929
28	生物技术与应用微生物学Biotechnology & applied microbiology	-0.1803	0.2440	0.46
29	经济学 Economics	-0.2363	0.2177	0.2777
30	农业-跨学科 Agriculture, multidisciplinary	-0.2430	0.1360	0.0740
31	海洋学 Oceanography	-0.4563	0.2215	0.0394*

表2

图3

图4

参考文献 40

[1]	国家统计局. 2024年全国农业及相关产业增加值占GDP比重为15.29%[EB/OL]. (2025-12-30) [2026-09-21]. https://www.stats.gov.cn/xxgk/sjfb/zxfb2020/202512/t20251230_1962181.html.
	National bureau of statistics of China. The added value of agriculture and related industries accounted for 15.29% of GDP in 2024[EB/OL]. (2025-12-30) [2026-09-21]. https://www.stats.gov.cn/xxgk/sjfb/zxfb2020/202512/t20251230_1962181.html. (in Chinese)
[2]	中华人民共和国中央人民政府. 国务院新闻办发布会介绍2023年农业农村经济运行情况[EB/OL]. (2024-01-23)[2025-05-06]. https://www.gov.cn/lianbo/fabu/202401/content_6927911.htm.
	The State Council Information Office of the People's Republic of China. Press conference on the performance of agriculture and rural economy in 2023[EB/OL]. (2024-01-23)[2025-05-06]. https://www.gov.cn/lianbo/fabu/202401/content_6927911.htm. (in Chinese)
[3]	郭晓鸣, 陆晓玲, 卢瑛琪. 建设农业强国的时代价值、实现进路与重点任务[J]. 农村经济, 2023(4): 10-18.
	Guo X M, Lu X L, Lu Y Q. The value of the times, the way to realize and the key tasks of building an agricultural power[J]. Rural Economy, 2023(4): 10-18. (in Chinese)
[4]	Pagano A, Pluchinotta I, Pengal P, Cokan B, Giordano R. Engaging stakeholders in the assessment of NBS effectiveness in flood risk reduction: A participatory System Dynamics Model for benefits and co-benefits evaluation[J]. Science of the Total Environment, 2019, 690: 543-555. doi: 10.1016/j.scitotenv.2019.07.059
[5]	Cohen-Shacham E, Walters G, Janzen C, Maginnis S. Nature-based Solutions to Address Global Societal Challenges[M]. IUCN International Union for Conservation of Nature, 2016: 97.
[6]	Song Y N, Kirkwood N, Maksimović Č, Zheng X D, O’Connor D, Jin Y L, Hou D Y. Nature based solutions for contaminated land remediation and brownfield redevelopment in cities: A review[J]. Science of the Total Environment, 2019, 663: 568-579. doi: 10.1016/j.scitotenv.2019.01.347
[7]	罗明. 依靠自然的力量着眼可持续发展: 透析“基于自然的解决方案”[N]. 中国自然资源报, 2019-11-07(3).
	Luo M. Relying on the power of nature to focus on sustainable development[N]. China Natural Resources News, 2019-11-07(3). (in Chinese)
[8]	贾梦旋, 王金满, 李禹凝, 张雅馥, 高亭玉, 吴大为. 基于自然解决方案的矿山生态修复研究进展[J]. 煤炭科学技术, 2024, 52(8): 209-221.
	Jia M X, Wang J M, Li Y N, Zhang Y F, Gao T Y, Wu D W. Ecological restoration of mines based on Nature-based Solution: A review[J]. Coal Science and Technology, 2024, 52(8): 209-221. (in Chinese)
[9]	IUCN. Global standard for nature-based solutions[R]. Gland, Switzerland: IUCN, 2020.
[10]	IUCN. Sustainable agriculture and nature-based solutions[R]. Gland, Switzerland: IUCN, 2024.
[11]	Förster A, Hohberg K, Rasche F, Emmerling C. Nematode community structure suggests perennial grain cropping cultivation as a nature- based solution for resilient agriculture[J]. Journal of Sustainable Agriculture and Environment, 2024, 3(3): e12112. doi: 10.1002/sae2.v3.3
[12]	van der Jagt A P N, Szaraz L R, Delshammar T, Cvejić R, Santos A, Goodness J, Buijs A. Cultivating nature-based solutions: The governance of communal urban gardens in the European Union[J]. Environmental Research, 2017, 159: 264-275. doi: S0013-9351(17)31574-8 pmid: 28823804
[13]	Nelson D R, Bledsoe B P, Ferreira S, Nibbelink N P. Challenges to realizing the potential of nature-based solutions[J]. Current Opinion in Environmental Sustainability, 2020, 45: 49-55. doi: 10.1016/j.cosust.2020.09.001
[14]	IUCN WCPA. The IUCN WCPA Bulletin (Issue 6): Area Based Conservation[R]. Gland: IUCN, 2023-12.
[15]	干彬, 李朝林, 张明遥. 面向智慧农业的多维决策支持模型与可视化系统设计[J]. 中国农业资源与区划, 2024, 45(7): 143.
	Gan B, Li C L, Zhang M Y. Design of a multidimensional decision support model and visualization system for smart agriculture[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2024, 45(7): 143. (in Chinese)
[16]	周娜, 袁媛, 陈雷, 郑亚松. 基于大模型规则增强与通道注意力的两阶段小麦知识图谱补全[J]. 农业工程学报, 2025, 41(22): 154-161.
	Zhou N, Yuan Y, Chen L, Zheng Y S. Two-stage wheat knowledge graph completion method based on large language models rule augmentation and channel attention[J]. Transactions of the Chinese Society of Agricultural Engineering, 2025, 41(22): 154-161. (in Chinese)
[17]	李杰, 陈超美. CiteSpace: 科技文本挖掘及可视化[M]. 北京: 首都经济贸易大学出版社, 2016: 29.
	Li J, Chen C M. CiteSpace: Text Mining and Visualization in Scientific Literature[M]. Beijing: Capital University of Economics & Business Press, 2016: 29. (in Chinese)
[18]	Anderson V, Gough W A. Nature-based cooling potential: A multi- type green infrastructure evaluation in Toronto, Ontario, Canada[J]. International Journal of Biometeorology, 2022, 66(2): 397-410. doi: 10.1007/s00484-021-02100-5
[19]	Kandpal A, Kumara T M K, Pal S. Does conservation agriculture promote sustainable intensification in the rice-wheat system of the indo-gangetic plains in India? empirical evidences from on-farm studies[J]. Current Science, 2023, 124(10): 1188. doi: 10.18520/cs/v124/i10/1188-1193
[20]	Alshehri K, Gao Z H, Harbottle M, Sapsford D, Cleall P. Life cycle assessment and cost-benefit analysis of nature-based solutions for contaminated land remediation: A mini-review[J]. Heliyon, 2023, 9(10): e20632. doi: 10.1016/j.heliyon.2023.e20632
[21]	Tang Y J, Qiao Y F, Ma Y Z, Huang W L, Komal K, Miao S J. Quantifying greenhouse gas emissions in agricultural systems: A comparative analysis of process models[J]. Ecological Modelling, 2024, 490: 110646. doi: 10.1016/j.ecolmodel.2024.110646
[22]	Netti A M, Abdelwahab O M M, Datola G, Ricci G F, Oppio A, Gentile F. Assessment of nature-based solutions for water resource management in agricultural environments: A stakeholders’ perspective in Southern Italy[J]. Scientific Reports, 2024, 14: 24668. doi: 10.1038/s41598-024-76346-5
[23]	Singh R, Trindade H, Sousa J R. Forest debris-based biochar application in composting process to reduce greenhouse gas emissions: A nature based sustainable solution[J]. Scientific Papers Series E Land Reclamation, Earth Observation & Surveying, Environmental Engineering, 2024, 13: 329-336.
[24]	Pereira P, Wang F, Inacio M, Kalinauskas M, Bogdzevič K, Bogunovic I, Zhao W W, Barcelo D. Nature-based solutions for carbon sequestration in urban environments[J]. Current Opinion in Environmental Science & Health, 2024, 37: 100536.
[25]	Smith A C, Tasnim T, Irfanullah H M, Turner B, Chausson A, Seddon N. Nature-based solutions in Bangladesh: Evidence of effectiveness for addressing climate change and other sustainable development goals[J]. Frontiers in Environmental Science, 2021, 9: 737659. doi: 10.3389/fenvs.2021.737659
[26]	Lebrun J D, Ayrault S, Drouet A, Bordier L, Fechner L C, Uher E, Chaumont C, Tournebize J. Ecodynamics and bioavailability of metal contaminants in a constructed wetland within an agricultural drained catchment[J]. Ecological Engineering, 2019, 136: 108-117. doi: 10.1016/j.ecoleng.2019.06.012
[27]	Quaranta E, Arkar C, Branquinho C, Cristiano E, de Carvalho R C, Dohnal M, Gnecco I, Gößner D, Jelinkova V, Maucieri C, Mohri M, Nektarios P A, Ntoulas N, Palermo S A, Palla A, Piro P, Serrano H C, Soulis K X, Turco M, Van Renterghem T, et al. A daily time-step hydrological-energy-biomass model to estimate green roof performances across Europe to support planning and policies[J]. Urban Forestry & Urban Greening, 2024, 93: 128211.
[28]	Zaręba A, Krzemińska A, Kozik R. Urban vertical farming as an example of nature-based solutions supporting a healthy society living in the urban environment[J]. Resources, 2021, 10(11): 109. doi: 10.3390/resources10110109
[29]	Herbert C, Haya B K, Stephens S L, Butsic V. Managing nature-based solutions in fire-prone ecosystems: competing management objectives in California forests evaluated at a landscape scale[J]. Frontiers in Forests and Global Change, 2022, 5: 957189. doi: 10.3389/ffgc.2022.957189
[30]	Garibaldi L A, Zermoglio P F, Jobbágy E G, Andreoni L, Ortiz de Urbina A, Grass I, Oddi F J. How to design multifunctional landscapes?[J]. Journal of Applied Ecology, 2023, 60(12): 2521-2527. doi: 10.1111/jpe.v60.12
[31]	Dong X Y, Ye Y M, Su D, Yi S G, Yang R J, Haase D, Lausch A. Adaptive ranking of specific tree species for targeted green infrastructure intervention in response to urban hazards[J]. Urban Forestry & Urban Greening, 2025, 107: 128776.
[32]	Matiza C, Mutanga O, Peerbhay K, Odindi J, Lottering R. Assessing above-ground biomass in reforested urban landscapes using machine learning and remotely sensed data[J]. Journal of Spatial Science, 2024, 69(3): 1047-1073. doi: 10.1080/14498596.2024.2343764
[33]	Jaiswal D, Siddique K M, Jayalekshmi T R, Sajitha A S, Kushwaha A, Surendran S. Land-based climate mitigation strategies for achieving net zero emissions in India[J]. Frontiers in Climate, 2025, 7: 1538816. doi: 10.3389/fclim.2025.1538816
[34]	Toxopeus H, Polzin F. Reviewing financing barriers and strategies for urban nature-based solutions[J]. Journal of Environmental Management, 2021, 289: 112371. doi: 10.1016/j.jenvman.2021.112371
[35]	Petrova S, Velcheva I, Nikolov B, Angelov N, Hristozova G, Zaprjanova P, Valcheva E, Golubinova I, Marinov-Serafimov P, Petrov P, Stefanova V, Varbanova E, Georgieva D, Stefanova V, Marhova M, Tsankova M, Iliev I. Nature-based solutions for the sustainable management of urban soils and quality of life improvements[J]. Land, 2022, 11(4): 569. doi: 10.3390/land11040569
[36]	韩明会, 李保国, 张丹, 李颖. 再生农业—基于土地保护性利用的可持续农业[J]. 中国农业科学, 2021, 54(5): 1003-1016. DOI: 10.3864/j.issn.0578-1752.2021.05.012.
	Han M H, Li B G, Zhang D, Li Y. Regenerative agriculture-sustainable agriculture based on the conservational land use[J]. Scientia Agricultura Sinica, 2021, 54(5): 1003-1016. DOI: 10.3864/j.issn.0578-1752.2021.05.012. (in Chinese)
[37]	Hale S, Tann Loretta Von Der, Rebelo A, Esler K, Lima Ana Paula Morais De, Rodrigues A, Latawiec A, Ramírezagudelo N, Bosch E, Suleiman L N, Singh N, Oen Amy M P. Evaluating nature-based solutions for water management in peri-urban areas[J]. Water, 2023, 15(5): 893. doi: 10.3390/w15050893
[38]	张克荣, 张小全, 李潜, 赵铭石, 王龙柱, 张全发. 退化生态系统近自然精准修复: 基于自然的解决方案[J]. 植物科学学报, 2023, 41(6): 751-758.
	Zhang K R, Zhang X Q, Li Q, Zhao M S, Wang L Z, Zhang Q F. Near-natural precise restoration of degraded ecosystems: Nature-based solutions[J]. Plant Science Journal, 2023, 41(6): 751-758. (in Chinese)
[39]	叶红, 程露, 何嘉琪, 党政, 曹江, 谭春鸿. “碳中和-新乡村” 视角下广东乡村分布式光伏构建模式探索[J]. 南方建筑, 2021(4): 74-81. doi: 10.3969/j.issn.1000-0232.2021.04.074
	Ye H, Cheng L, He J Q, Dang Z, Cao J, Tan C H. Exploration of Guangdong rural distributed photovoltaic construction model from the perspective of “innovative carbon-neutral rural area”[J]. South Architecture, 2021(4): 74-81. (in Chinese)
[40]	罗明, 周旭, 周妍. “基于自然的解决方案”在中国的本土化实践[J]. 中国土地, 2021(1): 12-15.
	Luo M, Zhou X, Zhou Y. Localization practice of “nature-based solution” in China[J]. China Land, 2021(1): 12-15. (in Chinese)

维度Dimension	变量Variable	回归系数Coefficient	标准误Standard error	P值P value
合作特征 Collaborative features	开展国际合作Engage in International Collaboration	0.3697	0.0523	<0.001***
	合作国家数量Count of Collaborating Nations	0.1498	0.0138	<0.001***
	中欧合作China-Europe Cooperation	0.6138	0.1329	<0.001***
	中美合作China-US Cooperation	0.3571	0.1699	0.0356*
区域特征 Regional feature	亚洲Asia	0.1666	0.0992	0.0931
	非洲Africa	-0.1478	0.1374	0.2820
	美洲Americas	-0.0527	0.0688	0.4438
	欧洲Europe	0.7281	0.2970	0.0142*
	大洋洲Oceania	0.1004	0.1407	0.4757
基金资助特征（全球TOP10资助机构） Funding Feature (Global TOP10 Funding Organizations)	获得基金资助Grant Funding	0.3022	0.0662	<0.001***
	资助机构数量Count of Funding Organizations	0.0673	0.0122	<0.001***
	巴西国家科学与技术发展委员会（CNPQ）	0.1602	0.1639	0.3284
	欧盟（EU）	0.3033	0.0967	0.0017**
	葡萄牙科学技术基金会（FCT）	0.1747	0.1442	0.2257
	地平线2020计划（Horizon 2020）	0.2824	0.1379	0.0406*
	中国国家重点研发计划（NKRDPC）	0.1759	0.2331	0.4505
	中国国家自然科学基金委员会（NSFC）	0.1129	0.0985	0.2517
	美国国家科学基金会（NSF）	0.4421	0.1693	0.009**
	英国自然环境研究理事会（NERC）	0.2466	0.1806	0.1722
	瑞典研究委员会（SRCF）	0.2399	0.1544	0.1203
	英国研究与创新署（UKRI）	0.2532	0.1548	0.1019

全球基于自然的解决方案在农业研究中的演进脉络、驱动机制与中国路径

Evolutionary Trajectory, Driving Mechanisms, and China’s Pathway in Global Nature-Based Solutions for Agricultural Research

RichHTML

PDF

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 6

参考文献 40

相关文章 6

Metrics

本文评价

推荐阅读 0

[1]	肖云泽, 张宇, 成功, 练子柔, 周厚熹. 基于自然解决方案视角下的农业文化遗产研究范式探析[J]. 中国农业科学, 2026, 59(19): 4374-4390.
[2]	宁明皓, 路馨丹, 高芳, 徐上, 贾相平. 基于自然的解决方案视角下强化国际食品法典标准体系：治理模型和实践路径[J]. 中国农业科学, 2026, 59(19): 4358-4373.
[3]	孔维丽, 王立杰, 郑靖康, 高芳, 李涛, 张珂珂, 张玉亭. 基于自然解决方案的秸秆综合利用关键技术和模式—粮菇定区轮作[J]. 中国农业科学, 2026, 59(19): 4349-4357.
[4]	罗宁, 李兆磊, 徐彩龙, 牛娜, 王璞, 孟庆锋. 基于自然解决方案的作物高产可持续转型[J]. 中国农业科学, 2026, 59(19): 4335-4348.
[5]	韩明会,李保国,张丹,李颖. 再生农业——基于土地保护性利用的可持续农业[J]. 中国农业科学, 2021, 54(5): 1003-1016.
[6]	金书秦，邢晓旭. 农业面源污染的趋势研判、政策评述和对策建议[J]. 中国农业科学, 2018, 51(3): 593-600.