Ecosystem Service-Based Deconstruction of Ancient Tree Values: Implications for Biodiversity Conservation and Socio-Ecological Management
Abstract
1. Introduction
- (1)
- to identify the knowledge structure and evolutionary stages through co-occurrence and mapping analysis;
- (2)
- to integrate regulating, supporting, and cultural services and construct a systematic conceptual model of ancient tree multifunctionality;
- (3)
- to identify research hotspots and methodological trends, clarify gaps, and provide a theoretical basis for comprehensive assessment and collaborative governance.
2. Materials and Methods
3. Research Results and Discussion
3.1. Bibliometric
- (1)
- Bibliometric Results
- (1)
- Bibliometric Trends and Functional Emphases
3.2. Overview of Research on the Ecosystem Services of Ancient Trees
3.2.1. Research Area
3.2.2. Types of Ecosystem Services
3.3. Literature Review
3.3.1. Research Methods for the Assessment of Ancient Tree Ecosystem Services
3.3.2. Supporting Ecosystem Services
3.3.3. Regulating Ecosystem Services
- (1)
- Carbon Sequestration by Ancient Trees
- (2)
- Microclimate Regulation and Thermal Environment Mitigation by Ancient Trees
- (3)
- Air Purification Function of Ancient Trees
3.3.4. Ecosystem Cultural Services
3.3.5. Trade-Offs and Synergies Among Ecosystem Services
3.4. Protection and Management of Ancient Trees
3.4.1. Concepts and Governance Frameworks for Ancient Tree Conservation
3.4.2. Ancient Tree Health Assessment and Management Technologies
- (1)
- Spatial planning integration: Ancient trees should be formally incorporated into territorial spatial planning systems as nature-based infrastructure and ecological assets with legally recognized ecosystem service values, rather than being treated solely as heritage objects.
- (2)
- Cross-sector governance coordination: Integrated governance mechanisms linking ecological protection, urban development, and cultural heritage conservation should be established, ensuring that ecosystem service evaluation becomes a mandatory component of planning approval and land-use decision-making.
- (3)
- Digital and intelligent conservation systems: The application of AI, IoT, and digital twin technologies should be promoted not only for monitoring but also for predictive management, early warning of risks, and scenario simulation to support adaptive decision-making.
- (4)
- Ecosystem service-based policy instruments: Standardized valuation and accounting systems should be developed for regulating cultural services of ancient trees to enable their inclusion in ecological compensation, urban green infrastructure investment, and carbon neutrality strategies.
4. Research Limitations and Future Prospects
- (1)
- There remains a lack of comprehensive integration between ecological and social mechanisms. Current studies predominantly emphasize either natural processes or cultural perceptions, without developing a holistic model that systematically elucidates the interrelations among ecosystem services, place attachment, and conservation behaviors.
- (2)
- There is an inadequate linkage between planning and governance frameworks. Ancient trees are frequently excluded from effective incorporation into territorial spatial planning and broader ecosystem service provision strategies. This gap underscores the urgent necessity to establish cross-scale, multisectoral collaborative management mechanisms.
- (3)
- The degree of digitalization and intelligent management applied to ancient tree conservation is still limited. Future efforts should focus on the enhanced integration of digital twin technologies, the Internet of Things, and artificial intelligence to facilitate dynamic assessments of ecosystem services, early risk detection, and informed decision-making. Such advancements would support the transition from traditional empirical management approaches toward more scientific and intelligent governance models.
5. Conclusions
- (1)
- Research Trends and Thematic Shift
- (2)
- Geographic Distribution and Research Imbalance
- (3)
- Ecosystem Service Contributions of Ancient Trees
- (4)
- Trade-offs and Synergies Among Ecosystem Services
- (5)
- Methodological Advances and Limitations
Supplementary Materials
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Study Area Type | Notes/Representative Cases | Number of Publications |
|---|---|---|
| Rural areas | Agricultural, Forestry, and Pastoral Systems; Dehesa Ecosystems; and Veteran Rural Trees | 45 |
| Urban areas | Urban Heritage Forests, Street Trees, and Historic Habitats: An Academic Perspective | 80 |
| Special areas | Tropical Rainforests, Old-Growth Forests, Research Reserves, and Experimental Areas | 60 |
| Cross-scale and General Studies | A Comprehensive Examination of Ancient Trees: Global Perspectives, Policy Evaluation, and International Case Analyses | 32 |
| Service Type | Common Indicators | Number of Publications |
|---|---|---|
| Supporting Services | Habitat structure and provision (n = 39), biodiversity (species richness, Red List species) (n = 41), soil microbial functions (n = 16), tree growth rate (n = 14) | 103 |
| Regulating Services | Canopy shading (n = 27), temperature regulation (n = 32), microclimate mitigation (n = 25), carbon storage (n = 34), light regulation (n = 16) | 79 |
| Cultura Services | Historical and cultural value (n = 20), local identity (n = 15), spiritual symbolism (n = 13), educational value (n = 10), traditional knowledge (n = 9) | 46 |
| Provisioning Services | Forest products (n = 2), edible plants (n = 1) | 3 |
| Service Type | Classification | Common Methods | Data Sources | Advantages | Disadvantages | Applicable Scales |
|---|---|---|---|---|---|---|
| Regulating Services | Carbon sequestration | Biomass method [45] | DBH, tree height, allometric equations | Low cost; focuses on biomass accumulation and carbon stock | Relatively low accuracy | An individual to stand on the scale |
| Photosynthesis method (LI-COR) [46] | Net photosynthetic rate (Pn), leaf area | Suitable for single-tree studies focusing on physiological processes and carbon assimilation | High cost | Leaf to individual scale | ||
| Gas chamber/flux measurement [47] | CO2 flux data | High precision; directly measures carbon exchange processes; suitable for mechanistic studies | Spatial Limited spatial representativeness; susceptible to disturbance; relatively high equipment cost | Individual to small-plot scale | ||
| Microclimate regulation and thermal environment mitigation | Direct measurement [48,49] | On-site weather sensor data, including temperature, humidity, wind speed, and radiation; simultaneous observations at control and sample plots | Clear and reliable data; directly reflects the cooling and humidifying effects of ancient trees; relatively simple to operate; suitable for single-tree or small-scale studies | Limited spatial representativeness; strongly affected by short-term weather conditions; difficult to capture long-term dynamics | The individual is to stand on the scale. | |
| Eddy covariance [50] | High-temporal-resolution CO2, water vapor, and energy flux data from flux towers | Directly measures carbon, water, and energy exchange at the ecosystem scale; high accuracy; regarded as the gold standard; suitable for long-term continuous observation. | Expensive equipment; high requirements for terrain and surface homogeneity; relatively coarse spatial resolution, making it difficult to capture characteristics of individual ancient trees | Ecosystem to landscape scale | ||
| Isotopic tracer [51] | Stable isotope data related to water or carbon cycling | Can identify water sources and carbon assimilation pathways; reveals physiological processes and environmental response mechanisms; suitable for mechanistic studies | High cost; complex experimental procedures; difficult to apply widely at large scales | An individual to stand on the scale | ||
| Model construction [52] | Remote sensing data (for example, NDVI and LST), meteorological data, tree structural parameters, and field calibration data | Enables multiscale simulation of ecosystem services from single trees to regions; supports scenario prediction and planning applications; integrates multiple data sources. | High uncertainty; requires calibration with field measurements | Individual to regional scale | ||
| Stem heat balance method [53] | Stem sap flow sensor data, such as heat flux and temperature gradient | Allows continuous monitoring of individual transpiration; suitable for large ancient trees; provides detailed information on water use and transpiration processes | Complex sensor installation; high equipment cost; complicated data processing | Individual scale | ||
| Air purification | Leaf surface/bark sampling [54,55,56] | Amount of particulate matter (PM2.5/PM10) deposited per unit leaf or bark area, measured by washing, filter membrane, or swab methods | Direct and low cost; suitable for ancient tree studies | Representativeness depends on sampling location; rainfall can affect results | Individual scale | |
| Dry deposition model [55,57] | Leaf area, tree species characteristics, pollutant concentrations | Can estimate annual removal of PM and NO2/O3 at the kg/tree/year scale; suitable for evaluating the ecological value of ancient trees | Based on multiple assumptions and sensitive to actual deposition rates | Individual to regional scale | ||
| Wind tunnel experiment [58,59] | PM capture efficiency of different leaf structures under controlled wind speed and particle size. | Allows analysis of microstructural effects | Does not reflect real-world conditions | Leaf to organ scale | ||
| Dense sensor array [55,60] | PM/NO2/O3 sensor data collected at different canopy heights | High scene realism; suitable for studies of ancient tree canopy layers | Strongly affected by wind fields and footprint effects; requires more complex statistical processing | An individual to stand on the scale | ||
| Supporting Services | Field investigation [61] | Tree species composition, species records, habitat structure (tree hollows, deadwood, etc.) | Accurate data with clear ecological significance; suitable for biodiversity assessment | Time-consuming; affected by human disturbance and sample representativeness | Plot on a regional scale | |
| Geostatistical analysis [62] | Spatial distribution data, species location data | Reveals spatial patterns and ecological processes; suitable for multiscale analysis | High data-quality requirements; model interpretation depends on assumptions | Plot to landscape scale | ||
| QSM/TLS scanning [63] | Three-dimensional structural data and spatial position data | Accurately captures tree structure and habitat complexity; suitable for structural characterization and multiscale analysis | High equipment and data-processing requirements; limited accessibility in some field settings | Plot to landscape scale | ||
| Provisioning Services | - | Literature review, traditional knowledge surveys | Literature sources and field survey data | Can assess the utilitarian value of timber and other biological resources | The geographical Strong geographic limitations; ecological impacts may be overlooked | Regional to social-system scale |
| Cultura Services | - | Literature review, semi-structured interviews, traditional knowledge documentation, policy analysis, sentiment analysis | Policy documents, historical records, and interview data | Can integrate ecological and cultural values; facilitates policy application | Strong qualitative orientation; lack of quantitative indicators; susceptible to subjectivity | Community to regional scale (social–spatial scale) |
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Han, Y.; Liu, Z.; Li, L.; Wei, Z.; Pan, Y.; Chen, M.; Peng, D. Ecosystem Service-Based Deconstruction of Ancient Tree Values: Implications for Biodiversity Conservation and Socio-Ecological Management. Plants 2026, 15, 2064. https://doi.org/10.3390/plants15132064
Han Y, Liu Z, Li L, Wei Z, Pan Y, Chen M, Peng D. Ecosystem Service-Based Deconstruction of Ancient Tree Values: Implications for Biodiversity Conservation and Socio-Ecological Management. Plants. 2026; 15(13):2064. https://doi.org/10.3390/plants15132064
Chicago/Turabian StyleHan, Yiwei, Zhenfan Liu, Lanbin Li, Zuxing Wei, Yue Pan, Ming Chen, and Donghui Peng. 2026. "Ecosystem Service-Based Deconstruction of Ancient Tree Values: Implications for Biodiversity Conservation and Socio-Ecological Management" Plants 15, no. 13: 2064. https://doi.org/10.3390/plants15132064
APA StyleHan, Y., Liu, Z., Li, L., Wei, Z., Pan, Y., Chen, M., & Peng, D. (2026). Ecosystem Service-Based Deconstruction of Ancient Tree Values: Implications for Biodiversity Conservation and Socio-Ecological Management. Plants, 15(13), 2064. https://doi.org/10.3390/plants15132064

