How Does Eco-Migration Influence Habitat Fragmentation in Resettlement Areas? Evidence from the Shule River Resettlement Project
Abstract
1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Data Sources
- (1)
- The land use data from 1996 to 2021 is sourced from the China Land Cover Dataset (CLCD) of Wuhan University (http://doi.org/10.5281/zenodo.4417809). This CLCD data is created by the team of Professor Huang Xin from Wuhan University based on 335,709 scenes of Landsat data on the Google Earth Engine. The team constructed spatio-temporal features, combined with a random forest classifier to obtain classification results, and proposed a post-processing method including spatio-temporal filtering and logical reasoning to further improve the spatio-temporal consistency of CLCD. Finally, based on 5463 visual interpretation samples, the overall accuracy rate of CLCD reached 80%. In addition, they compared CLCD with existing thematic products and found that CLCD showed good consistency with the global forest change, global surface water, and impervious water time series datasets. Compared with other global products, CLCD has a higher time resolution, but it only covers the Chinese region. The classification of this data is a new data classification system, mainly including nine categories: farmland, forest, shrub, grassland, water body, ice and snow, unused land, impervious surface, and wetland. Among them, impervious surface is reclassified as construction land. This paper defines the above-mentioned land types as different habitat types, among which farmland and construction land represent artificial habitats, while the rest of the land types represent natural habitats.
- (2)
- The data on eco-migration and investment from the SRRP.
- (3)
- Basic map including terrain and vector administrative boundaries were sourced from Gansu Provincial Surveying and Mapping Bureau (https://gansu.tianditu.gov.cn); DEM data sourced from geographic spatial data clouds (http://www.gscloud.cn/search) (accessed on 6 August 2020).
- (4)
- Social and economic statistical data mainly come from the “Yumen City Statistical Yearbook” and the “Guazhou County Statistical Yearbook”.
2.3. Research Methods
- (1)
- Habitat fragmentation
- (2)
- Land use transfer matrix (LTM)
3. Results
3.1. Natural Habitats Are Gradually Transforming into Artificial Habitats
3.2. Habitat Fragmentation
4. Discussion and Conclusions
4.1. Discussion
- (1)
- Why does eco-migration drive habitat fragmentation?
- (2)
- The impact of ecological migration on habitats is complex and multidirectional.
- (3)
- In ecologically fragile areas, eco-resettlement must give priority to ecological carrying capacity.
- (4)
- In ecologically fragile areas, eco-migrants must attach great importance to the rational development and utilization of water resources.
4.2. Conclusions
- (1)
- With the entry of large-scale migrants, the natural habitat in the resettlement areas has been continuously transformed into artificial habitats, and it has shown obvious phased change characteristics along with the migrant process. The suddenness is stronger in the initial stage of migration. From a spatial dimension perspective, the increasing dispersion of migrant resettlement areas corresponds to a more pronounced expansion of artificial habitats.
- (2)
- NP, ED, SHDI, and SHEI all continued to increase, while C and AI continued to decline, indicating that the habitat is developing towards fragmentation, diversification, and complexity. Compared with LMBs, both SMBs and SMSPs exhibit a higher degree of HF, which reflects how the scale of migration influences the extent of habitat fragmentation. While NHs are experiencing increasing fragmentation, AHs tend to show a decreasing trend in fragmentation. Eco-migration plays a dual role by contributing to the alteration and fragmentation of natural habitat patterns, while simultaneously promoting the formation and continuity of artificial habitat structures. This study offers valuable practical insights and cautionary lessons for the resettlement of ecological migrants.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Irrigation Area Name | Name of Township and Farm | Number of Households (Households) | Number of Migrants (People) |
---|---|---|---|
Changma Irrigation Area | Shuangta Township | 2762 | 12,988 |
Qidun Township | 1467 | 7103 | |
Qidaogou Branch Farm | 1568 | 8755 | |
Huanghua Farm | 770 | 3861 | |
Yinma Farm | 429 | 2667 | |
Zhahua Village | 459 | 2534 | |
Shuangta Irrigation Area | Lianghu Branch Farm | 1575 | 7769 |
Huancheng Township | 342 | 1650 | |
Huahai Irrigation Area | Bijiatan Township | 1390 | 6301 |
Dushanzi Branch Farm | 1823 | 8372 | |
total | 12,585 | 62,000 |
Index | Calculation Formula | Formula Explanation | Representational Meaning |
---|---|---|---|
Total Plaque Number (NP) | ni is the plaque index of Habitat Type i; n: The total number of all patches in the landscape. | Characterize the types and quantities of habitats; the larger the value, the higher the degree of fragmentation. | |
Plaque Density (PD) | PD = ni/Ai × 100,000 | ni is the number of plaque i Ai is the total number of plaques | Characterize the degree of fragmentation and the unevenness and complexity of the spatial distribution pattern. The larger the value, the higher the degree of fragmentation. |
Edge Density (ED) | N: The total number of patches A is the total area of the plaque | Reflect the boundary characteristics and edge effects of habitat types. A higher value indicates a greater degree of plaque heterogeneity and increased habitat fragmentation. | |
Contagion Index (C) | n is the number of plaque types; pij represents the probability that a plaque of type i is adjacent to a plaque of type j. | Reflect the extent of connectivity among different habitat types. A high index suggests that a specific type of patch forms effective connectivity. Conversely, it implies that the habitat at this location consists of multiple patches, exhibits complexity, and is highly fragmented. | |
Aggregation Index (AI) | gii is the common boundary length between patches of the same kind, AI ⊆ (0, 100] | The larger the value is, the more concentrated the plaques of the same habitat are and the lower the fragmentation degree is. High values indicate that the habitat is composed of large clusters, while low values indicate that the habitat is composed of many small blocks. | |
Diversity (SHDI) | pi represents the ratio of Class i habitats to the total habitat area, n represents the number of habitat types | SHDI = 0 indicates that the entire habitat consists of one type. The SHDI gradually increased, indicating that the patches of different types of habitats increased and tended to be balanced, reflecting the richness and complexity of habitat types. | |
Dominance Index (SHEI) | When SHEI = 0, there is no diversity; when SHEI = 1, it indicates that the areas of each habitat are evenly distributed and have the maximum diversity. | ||
Fractal Dimension (FRAC) | k is the regression coefficient between plaque area and perimeter, D stands for FRAC D ⊆ (1, 2) | The smaller the value is, the closer the boundary of the plaque is to a straight line. Conversely, it indicates that the boundary shape is more complex. |
Habitat Type | Resettlement Area | Initial Stage | Mid-Term | Late Stage | Post-Migration | 1996–2021 | |
---|---|---|---|---|---|---|---|
Artificial habitats | Cultivated land | LMB | 4.078 | 3.594 | 3.795 | 4.782 | 20.559 |
4SMB | 1.656 | 3.485 | 4.184 | 9.992 | 24.905 | ||
6SMSP | 17.612 | 14.316 | 14.405 | 2.463 | 62.028 | ||
subtotal | 23.346 | 21.395 | 22.384 | 17.237 | 107.492 | ||
Construction land | LMB | 0.618 | 0.010 | 0.001 | 0.016 | 0.027 | |
4SMB | 0.005 | 0.086 | 0.220 | 0.108 | 1.100 | ||
6SMSP | 2.176 | 0.082 | 0.051 | −0.378 | 0.000 | ||
subtotal | 2.797 | 0.178 | 0.272 | −0.254 | 1.127 | ||
Natural habitats | Grassland | LMB | 49.740 | −0.981 | −3.069 | −4.238 | −8.975 |
4SMB | 0.007 | 5.199 | 3.812 | −7.037 | 13.941 | ||
6SMSP | 0.023 | 10.102 | −5.638 | −55.519 | 0.000 | ||
subtotal | 49.77 | 14.32 | −4.895 | −66.794 | 4.966 | ||
Water area | LMB | −6.261 | −0.006 | 0.000 | 0.03 | 0.031 | |
4SMB | −10.537 | 0.025 | 0.000 | −0.043 | 0.008 | ||
6SMSP | −67.357 | 0.017 | 0.000 | −0.017 | 0.000 | ||
subtotal | −84.155 | 0.036 | 0 | −0.03 | 0.039 | ||
Unused land | LMB | 1.656 | −2.618 | −0.726 | −0.596 | −11.649 | |
4SMB | 17.612 | −8.795 | −8.217 | −169.878 | −206.81 | ||
6SMSP | 0.000 | −24.518 | −8.817 | 115.478 | 0.000 | ||
subtotal | 19.268 | −35.931 | −17.76 | −54.996 | −218.459 |
LPI | Type of Resettlement Area | 1996 | 2002 | 2003 | 2007 | 2010 | 2015 | 2021 |
---|---|---|---|---|---|---|---|---|
NP | LMB | 24 | 25 | 27 | 21 | 24 | 26 | 22 |
4SMB | 170 | 157 | 158 | 159 | 171 | 185 | 196 | |
6SMSP | 378 | 355 | 353 | 399 | 396 | 406 | 454 | |
ED | LMB | 5.78 | 5.37 | 5.59 | 5.48 | 5.96 | 5.91 | 6.22 |
4SMB | 1.36 | 1.32 | 1.32 | 1.38 | 1.45 | 1.64 | 1.64 | |
6SMSP | 2.37 | 2.47 | 2.49 | 2.59 | 2.61 | 2.53 | 2.62 | |
C | LMB | 46.35 | 43.13 | 42.66 | 41.41 | 40.16 | 40.67 | 41.37 |
4SMB | 85.04 | 86.60 | 86.51 | 85.80 | 85.46 | 84.37 | 84.36 | |
6SMSP | 81.46 | 80.16 | 80.01 | 78.87 | 78.73 | 78.23 | 78.72 | |
SHDI | LMB | 0.73 | 0.81 | 0.82 | 0.88 | 0.90 | 0.91 | 0.91 |
4SMB | 0.29 | 0.31 | 0.31 | 0.33 | 0.34 | 0.36 | 0.36 | |
6SMSP | 0.39 | 0.43 | 0.43 | 0.46 | 0.46 | 0.48 | 0.46 | |
SHEI | LMB | 0.66 | 0.74 | 0.74 | 0.80 | 0.82 | 0.83 | 0.83 |
4SMB | 0.21 | 0.19 | 0.19 | 0.20 | 0.21 | 0.22 | 0.22 | |
6SMSP | 0.24 | 0.26 | 0.27 | 0.28 | 0.29 | 0.30 | 0.28 | |
AI | LMB | 82.34 | 83.63 | 83.01 | 83.49 | 82.24 | 82.58 | 81.50 |
4SMB | 95.85 | 95.98 | 95.97 | 95.83 | 95.64 | 95.16 | 95.18 | |
6SMSP | 93.56 | 93.32 | 93.29 | 93.03 | 92.99 | 93.20 | 92.97 | |
FRAC | LMB | 1.027 | 1.028 | 1.026 | 1.028 | 1.030 | 1.028 | 1.035 |
4SMB | 1.024 | 1.022 | 1.024 | 1.027 | 1.028 | 1.030 | 1.029 | |
6SMSP | 1.024 | 1.025 | 1.026 | 1.023 | 1.022 | 1.023 | 1.023 |
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Wang, L.; Liao, T.; Gao, J. How Does Eco-Migration Influence Habitat Fragmentation in Resettlement Areas? Evidence from the Shule River Resettlement Project. Land 2025, 14, 1514. https://doi.org/10.3390/land14081514
Wang L, Liao T, Gao J. How Does Eco-Migration Influence Habitat Fragmentation in Resettlement Areas? Evidence from the Shule River Resettlement Project. Land. 2025; 14(8):1514. https://doi.org/10.3390/land14081514
Chicago/Turabian StyleWang, Lucang, Ting Liao, and Jing Gao. 2025. "How Does Eco-Migration Influence Habitat Fragmentation in Resettlement Areas? Evidence from the Shule River Resettlement Project" Land 14, no. 8: 1514. https://doi.org/10.3390/land14081514
APA StyleWang, L., Liao, T., & Gao, J. (2025). How Does Eco-Migration Influence Habitat Fragmentation in Resettlement Areas? Evidence from the Shule River Resettlement Project. Land, 14(8), 1514. https://doi.org/10.3390/land14081514