Average Habitat Quality Research Articles

Dynamic Evolution and Trade-Off/Synergistic Effects of Ecosystem Services in the Northeast Tiger and Leopard National Park from 2000 to 2022

To explore the dynamic evolution of ecosystem services in the last 22 years, and to measure the trade-off and synergy between ecosystem services, it is of great significance to realize the ecological protection and sustainable development of the Northeast Tiger and Leopard National Park (NTLNP). Therefore, based on land use changes, soil and meteorological data, this research analyzed the changes of land use in NTLNP from 2000 to 2022. The habitat quality (HQ), carbon storage (CS), water conservation (WC) and soil conservation (SC) in the NTLNP were evaluated by the InVEST model, and the synergy/trade-off among different ecosystem services were analyzed quantitatively. The results are as follows: (1) Land use in NTLNP changed from broad-leaved forest to mixed and coniferous forest from 2000 to 2022. (2) Average HQ increased over time, while CS increased in coniferous and mixed forest areas, but decreased in cropland and grassland areas. WC decreased in the central and southern regions. SC decreased in coniferous forests in the southern part of the study area. (3) HQ showed a trade-off relationship with CS, WC, and SC of 50%, mainly distributed in the southwest of NTLNP at higher elevations. CS showed synergistic correlations with WC and SC, mainly distributed in grassland and broad-leaved forest areas in the southwest; areas showing trade-off relationships are mainly distributed in cropland and broad-leaved forest areas. WC and SC showed a synergistic correlation in 90.2% of the areas. In the past 22 years, ecosystem service capacity of NTLNP is increasing; in the future, we should pay more attention to the optimization of NTLNP function zoning, and gradually explore and improve the national park management system, to balance the relationship between the protection of ecological resources and the development of human society and economy.

Evolution and Predictive Analysis of Spatiotemporal Patterns of Habitat Quality in the Turpan–Hami Basin

The expansion of urban areas and unsustainable land use associated with human activities have brought about a decline in habitat quality (HQ), especially in arid regions with fragile ecosystems. A precise prediction of land use and habitat quality changes across different scenarios is crucial for the sustainable maintenance of ecological diversity. In this article, the InVEST model was employed to assess both the quality and degradation levels of habitats in the Turpan–Hami Basin (THB) spanning 1990~2020. Additionally, the InVEST-PLUS coupling model was employed to forecast habitat conditions under three different scenarios in 2050. Specifically, it involved the comparison of land use changes and spatial distribution of HQ across natural development (ND) scenarios, town development (UD) scenarios, and ecological protection (EP) scenarios, along with the analysis of hot spots of HQ spanning 1990~2050. The outcomes revealed the following: (1) The primary land use in the THB was categorized as unused land, alongside notable expansions in cultivated land, grassland, and built-up land. Conversely, there was a considerable decline observed in forests, water bodies, and unused land spanning 1990~2020. (2) The HQ within the THB exhibited evident spatial clustering characteristics. Between 1990 and 2020, areas with low HQ accounted for over 85%, areas with unchanged HQ constituted 88.19%, areas experiencing deteriorated HQ comprised approximately 5.02%, and areas displaying improved HQ encompassed around 6.79%. (3) Through the comparison of HQ for the ND, UD, and EP scenarios in 2050, it was observed that the average HQ under the EP scenario ranked highest, exhibiting the lowest degree of degradation on average. This indicates that the EP scenario is most advantageous for preserving HQ. Conclusively, this research provides valuable viewpoints for making decisions aimed at enhancing HQ in ecologically fragile arid regions.

Global Urbanization and Habitat Quality: Interactive Coercive Relationships

Urbanization is inevitably accompanied by drastic changes in regional land use and therefore presents an evident influence on ecosystems. Habitat quality (HQ) reflects the ability of a habitat to provide suitable conditions for the survival of an individual or population, and clarifying the interrelationships between urbanization level (UL) and HQ provides insights into sustainable urbanzation and ecosystems conservation. Much attention has focused on how urbanization related to HQ at multi-scales, but few studies have analyzed the interactive coercive relationships between UL and HQ on the global county level. To address this gap, we adopted the bivariate spatial autocorrelation and coupling coordination degree (CCD) model to determine their interactive coercive relationships at the county level globally. Results showed that the global average UL was 0.0807, 0.0838, and 0.0857 in 2000, 2010, and 2020, respectively, with a continuously increasing trend. The global average HQ was 0.6186, 0.6133, and 0.6111 for 2000, 2010, and 2020, reflecting opposite declining trends. The Moran’s I of population urbanization and HQ in 2000, 2010, and 2020 globally remained negative but showed an increasing trend, with values of −0.189, −0.228, and −0.254, respectively, while those of economic urbanization and HQ and land urbanization and HQ also remained negative and exhibited a similar increasing trend. The spatial autocorrelations for UL and HQ in different dimensions indicated that deserts and plateaus functioned as catchment areas with low UL and HQ. The CCD between UL and HQ in each county globally ranged from 0 to 0.70, while CCD between land urbanization and HQ was the most optimal at 0–0.90. The CCD between population urbanization and HQ was similar to that of economic urbanization in terms of spatial distribution. Nevertheless, the CCD of land urbanization in HQ exhibited the greatest degree of coordination among the three urbanization dimensions during the study period. These findings provided important support for sustainable urbanization and ecosystem protection globally.

Assessment of habitat quality changes and driving factors in Jilin Province based on InVEST model and geodetector

Jilin Province is an important ecological security barrier in Northeast China as it is located at the junction of the Northeast forest belts and the northern sand prevention belts. In recent years, Jilin Province has actively carried out ecological protection and restoration projects, resulting in a continuous improvement trend for the overall ecological environment. However, the evolution patterns and mechanisms of habitat quality are largely unkown. We applied the InVEST model and geographic detector method to analyze the changes in habitat quality and evaluate the main driving factors from 2000 to 2020. The results showed that the average habitat quality in Jilin Province showed a slight downward trend, and that the spatial heterogeneity characteristics of habitat quality in east and west gradually increased. The degree of habitat degradation presented a single nuclear radiation pattern centered on Changchun City. Vegetation factors and terrain factors were the first and secondary causes of spatial heterogeneity of habitat quality, respectively. The average habitat quality within the eco-redline of Jilin Province was showing an increasing trend year by year, which was consistent with the overall distribution of regions with extremely high habitat quality levels. There was a local spatial dislocation (the phenomenon of extremely high habitat quality levels not within the eco-redline) in the eastern part of Jilin Province. Our results could provide reference basis for ecosystem protection and the spatial pattern optimization.

Spatial distribution and topographic gradient effects of habitat quality in the Chang-Zhu-Tan Urban Agglomeration, China

This study aimed to analyze spatio-temporal changes in habitat quality in Chang-Zhu-Tan Urban Agglomeration during the 2000–2020 period and explore its topographic gradient effects. Using land use data from this period, the InVEST model was employed to assess the spatio-temporal variations in habitat quality. The bivariate spatial autocorrelation model was used to analyze the spatial correlation characteristics between habitat quality and various topographical factors. Additionally, terrain factor analysis was utilized to study the terrain gradient effects on habitat quality in the study area. The results reveal that: (1) The primary land use changes in the study area from 2000 to 2020 predominantly involve substantial arable land and forest conversions into urban development. (2) The average habitat quality indices for 2000, 2010, and 2020 in the Chang-Zhu-Tan Urban Agglomeration stand at 0.651, 0.622, and 0.606, respectively, indicating a consistent declining trend in habitat quality. The distribution of habitat quality grades demonstrates a spatial pattern of “lower in the central surroundings, higher in the surroundings.” (3) The Chang-Zhu-Tan Urban Agglomeration shows significant positive correlations between habitat quality and topographical gradients. Spatial aggregation tendencies between habitat quality and topographical gradients primarily exhibit “high-high” and “low-low” clustering. (4) The habitat quality of the Chang-Zhu-Tan urban agglomeration exhibits a significant topographic gradient effect, primarily characterized by an increase in habitat quality with the rise of the topographic gradient. The study outcomes contribute to unveiling the spatiotemporal variations in habitat quality within the Chang-Zhu-Tan Urban Agglomeration. Moreover, leveraging different habitat types’ distinctive terrain distribution characteristics, it proposes targeted habitat conservation measures, thereby offering theoretical support for biodiversity conservation and territorial spatial planning in the study area.

Study of spatiotemporal variation and driving factors of habitat quality in the northern foothills of the Qinling Mountains: a case study of Xi’an, China

As earth surface human activities become more frequent, global ecosystem service functions and especially biodiversity maintenance functions are challenged. This study aimed to analyze spatiotemporal changes in Xi‘an section of the northern foothills of the Qinling Mountains from 1990 to 2020. Temporal and spatial changes in habitat quality in the study area were visualized using InVEST model and land use data, and factors affecting habitat quality were analyzed using Geodetector. The results showed that during the study period, the cultivated land, grassland, and water decreased by 16.40%, 74.37%, and 35.39%, respectively, while the area of forest land and construction land increased, among which the construction land increased by 117.70%, the largest increase, and the forest land increased by 8.47%. The main changes in land use are the conversion of cultivated land into forest land and construction land, and the conversion of grassland into forest land and cultivated land. During the period 1990–2020, the average habitat quality index in the study area changed from 0.8617 to 0.8585, showing a slow decreasing trend. The spatial distribution of habitat quality showed a trend of “high in the south, moderate in the north, and low in the northwest”. The high habitat quality was mainly concentrated in the southern forest land, the middle habitat quality was mainly distributed in the northern cultivated land, and the low habitat quality was mainly distributed in the northwest construction land. The land use type has a great influence on habitat quality, and the interaction between any two factors is stronger than that of a single factor. The temporal and spatial variation of habitat quality is influenced by both natural and human factors. This study provides a theoretical basis for ecological protection and nature reserve planning in the Qinling Mountains region.

Habitat quality assessment and multi-scenario prediction of the Gansu-Qinghai section of the Yellow River Basin based on the FLUS-InVEST model

Research on the impact of land use change on regional habitat quality, in various future scenarios, can effectively aid planning and decision-making for sustainable development at a regional level. The study conducted its research in the Gansu-Qinghai Yellow River section and used ArcGIS and a land use transfer matrix to analyze the spatiotemporal pattern of land use and land cover changes. The study assessed the changes in habitat quality in the Gansu-Qinghai Yellow River region between 1990 and 2020, using the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model, by evaluating the gains and losses. Simultaneously, 15 elements of the natural economy were chosen and examined for their temporal and spatial impact on habitat quality using the random forest model and spatially weighted regression model. To forecast land use changes in the Gansu-Qinghai Yellow River section for 2030, the Future Land Use Simulation Model (FLUS) model was utilized and a series of four scenarios (cultivated land protection scenario, ecological protection scenario, natural development scenario, and rapid development scenario) were employed. The research results indicate that over 70% of the Gansu-Qinghai Yellow River is occupied by grasslands, and only a small portion of the area, about 0.22%, is developed for construction purposes. The quality of the habitat in the Gansu-Qinghai Yellow River had a minor drop between 1990 and 2020, followed by an improvement. Habitat quality changes are primarily attributed to improvements, with variations across different areas, i.e., enhanced in the east and reduced in the central and western parts. The habitat quality of the Gansu-Qinghai Yellow River has improved in all four scenarios compared to 2020, as evidenced by the decrease in low-value habitats and increase in high-value areas. The ecological protection scenario has the highest average habitat quality value. These research results can be used to support policy development and ecological restoration initiatives in the Gansu-Qinghai Yellow River.

Conserving habitat and ecosystem in protected areas amid increasing intensive human modification: A case study of China’s Pan-Pearl River Delta

To address crises like habitat loss and environmental pollution caused by human modifications, protected areas have been established as a fundamental strategy, providing on-site protection for species and their habitats. Systematic evaluation of PAs is crucial for guiding decision-making, planning, and public perception. Besides assessing their effectiveness in safeguarding habitats and ecosystem services, considering the impacts of human activities is essential. A comprehensive assessment, encompassing ecological and social factors, enhances our understanding of the complex interactions between conservation efforts and human needs. Using the Propensity Score Matching (PSM) method, we evaluated the conservation effectiveness of PAs in the Six Provinces in China’s Pan-Pearl River Delta Region, focusing on reducing human modification, sustaining ecosystem services, and improving habitat quality. The results indicated that PAs at higher elevations generally exhibit a lower degree of human modification than those at lower elevations. While the human modification score outside PAs in the SP-PPRD increased by 82.67%, the scores within PAs increased by only 64.51%. Among the 188 PAs, 32 showed a decrease in ecosystem services, with 71.87% located in Hainan Province. The average Habitat quality of PAs in the SP-PPRD declined during the study period, although the number categorized as “Very High” increased from 135 to 140. After PSM matching and relative effectiveness evaluation, 27 PAs (14.36%) were categorized as “High Effective”, 50.00% as “Medium Effective”, and 8.86% as “Ineffective”. Furthermore, the study suggests that PAs were often located in areas unlikely to face land conversion pressure even without the protection. However, many PAs in regions with high levels of human modification have seen an improvement in ecosystem services and habitat quality. Based on our research findings, we advocate the adoption of more resilient conservation strategies that carefully balance the preservation of nature with the promotion of sustainable social development.

Land use and habitat quality change in the Yellow River Basin: A perspective with different CMIP6-based scenarios and multiple scales

Studying the spatial distribution of land use/land cover (LULC) and habitat quality (HQ), influenced by both climate change and socio-economic factors, holds immense importance for fostering ecological sustainability. The previous scale setting was based on changes in granularity and division of spatial ranges, without considering the differences in land quantity structure and spatial expansion under different spatial ranges. Therefore, this study is based on climate and economic data at different spatial scales to determine the various land demands of provinces (YRB-P) and integration of provinces (YRB-I) in the Yellow River Basin, and to limit the expansion of LULC in corresponding regions. At the same time, we have also established three future scenarios representing different development speeds based on the latest path of shared socio-economic development in CMIP6. We found exhibit significant characteristics in ecological responses under combinations of different scales and scenarios. Shandong and Henan Provinces are the main gathering (38.7–41.7%, 24.1–26.5%) and expansion (68.54–85.99 × 102km2, 18.89–34.12 × 102km2) provinces of built-up land under the YRB-P scale, and their HQ (0.260–0.397) are significantly lower than the average HQ (0.619–0.654). Forest land, grassland, and high value regions of HQ show “45°” distribution at two scales, with high and low values clearly clustered (Moran's I is 0.5440–0.580). The HQ evolution region is larger and more dispersed at the YRB-P scale, but accumulates in local areas at the YRB-I scale. In addition, the highest and lowest HQ mean values appear under the low speed development scenario at the YRB-P scale (0.721) and the rapid development scenario at the YRB-I scale (0.689), respectively. This study helps decision-makers control different scales and development scenarios to improve the ecological level of the study area.

Spatio-temporal evolution and driving forces of habitat quality in Guizhou Province

This study aimed to analyze spatio-temporal changes in habitat quality in Guizhou Province during the 1990–2018 period and identify factors influencing habitat quality. Land-use data for the period were used to evaluate spatio-temporal variations in habitat quality using the InVEST model, and factors influencing habitat quality were analyzed using GeoDetector. According to the results, cultivated land and forestland decreased by 0.48% and 0.88%, respectively, during the study period. Grassland, water, and construction land areas increased, with construction land increasing the most (0.92%) followed by water area (0.37%). The main land-use changes included conversion of cultivated land to forestland, grassland, and construction land. The average habitat quality index for Guizhou Province changed from 0.633 to 0.627 over the 1990–2018 period, showing an overall downward trend. The distribution pattern of habitat quality was spatially "high in the north, south, and, east, and low in the west". The most significant improvement of habitat quality was in the western region, whereas the most significant decline of habitat quality was in the central region. Land-use was the major factor influencing the spatio-temporal variations in habitat quality, and the interactive effect between any two factors was stronger than that of a single factor. Natural factors and human factors co-dominated the temporal-spatial changes in habitat quality.

Spatial–Temporal Evolution and Prediction of Habitat Quality in Beijing–Tianjin–Hebei Region Based on Land Use Change

In order to solve the problem of habitat fragmentation in the Beijing–Tianjin–Hebei region and realize the sustainable use of land, based on remote sensing data from 2010 to 2020, this paper uses GIS and the CA–Markov model to predict the land use structure in 2030, and uses the InVEST model to quantitatively analyze the changes in habitat quality in the Beijing–Tianjin–Hebei region from 2010 to 2030. The results indicate that (1) from 2010 to 2020, the area of construction land increased significantly, mainly from cultivated land, woodland and grassland; the proportion of cultivated land decreased by 7.2%. It was predicted that by 2030, the area of construction land will continue to expand, accounting for 19.6%. According to the results of land use dynamic degree, the conversion speed between land types in 2010–2015 was higher than that in 2015–2020. (2) The average habitat quality indexes of the study area in 2010, 2015, 2020 and 2030 were 0.57, 0.56, 0.55 and 0.52, respectively, and the habitat quality level was moderate and continued to decline. The habitat center of gravity moved in the north, from Fengning Manchu Autonomous County to the junction of Fengning Manchu Autonomous County and Longhua County, and then moved to the Mentougou District of Beijing. Therefore, in order to amendthe continuous decline in habitat quality, scientific measures should be taken according to local conditions to promote the improvement of habitat quality and the rational use of land.

Spatio-Temporal Changes in Land Use and Habitat Quality of Hobq Desert along the Yellow River Section.

As a key area in the Yellow River basin for sand control and management, the land change process in the Hobq Desert plays a crucial role in keeping the river and desert ecosystems and promoting the construction of ecological civilization in human systems. Based on multi-temporal remote sensing from 1991 to 2019 in the Hobq Desert along the Yellow River section, this study selected spatial statistical methods (land-use monitoring and landscape metrics) to examine land-use change dynamics. Then, we evaluated habitat quality using the InVEST model and quantitatively analyzed the factors causing spatial changes in habitat quality using geographic detectors. Finally, this paper predicted the pattern of land use and habitat quality in 2030 using the PLUS model. The results reveal that (1) from 1991 to 2019, the total area of forest grassland increased by 3572.5 km2, providing the most vegetation cover, and the sandy land and water area decreased continuously, while the cultivated land and construction land increased. There were 38.01% conversions of land types, with the land-use dynamic decreasing the greatest in sandy land (-12.66%) and increasing the greatest in construction land (9.26%); the comprehensive land-use dynamics were the highest in 2010-2019 (1.68%), which was the most active stage during our study period. (2) Both of the landscape indices NP and PD showed "N" type fluctuations during 1991-2019, and CONTAG and LSI rose from 69.19% to 70.29% and 36.01% to 38.89%, respectively, indicating that the land-use degree of landscape fragmentation increased, landscape connectivity turned better, and landscape dominance was enhanced, balanced, and developed evenly in overall landscape type. (3) From the overall region analysis, the average habitat quality in 1991, 2000, 2010, and 2019 was 0.3565, 0.5108, 0.5879, and 0.6482, respectively, with the overall habitat value showing a gradually increasing trend. Spatially, the habitat quality along the Yellow River section of the Hobq Desert has a certain regularity, and the overall pattern there is high in the south and low in the north, high in the east and west, and low in the middle. (4) The change in land use between 2019 and 2030 is similar to the previous period, but the change rate is generally lower. The habitat quality improved significantly, with the growth of high and medium habitat quality.

Habitat quality evolution characteristics and multi-scenario prediction in Shenzhen based on PLUS and InVEST models

Based on the PLUS model, research proposed a method to adjust the probability of land use transition to reduce the calculation error of the number of pixels. The refined algorithm is applied to simulate Shenzhen land use situation in 2030 under a progressive scenario using three periods of Shenzhen land use data in 2000, 2010 and 2020. Then, InVEST model was employed to evaluate the distribution situation and future trends of habitat quality in Shenzhen during the study period. Following are the conclusions: 1) The construction land in Shenzhen expanded rapidly and the ecological land gradually shrank during the research period. The proportion of artificial surface area increased by about 45.4% (304.98 km2) within 20 years. 2) By simulating the land use situation of Shenzhen in 2030, the results revealed that the land use change of Shenzhen in the future is mainly concentrated in the central and western regions. 3) The overall average habitat quality of Shenzhen was at a medium level, but the habitat quality showed a continuous degradation trend in each year throughout the study period. Spatially, the habitat quality degradation are mainly concentrated in Shenzhen’s central and western region. 4) Under the natural development scenario, Shenzhen’s habitat quality would experience a sharp decline by 2030. The habitat quality of the conservation area is guaranteed to a certain degree, but the artificial surface expansion outside the area will still affect the habitat quality in the boundary constraint scenario; Only in scenario of ecological priority, the habitat quality of Shenzhen has been restored and improved to a large extent. 5) In order to slow down the degradation trend and improve the regional ecological environment. It is necessary not only to strictly implement various protection boundaries delineated in the context of Territorial Spatial Planning, but also to implement the policy of “Clear waters and green mountains are as good as mountains of gold and silver” in the process of urban development. Government should reasonably control the scale of cities, optimize the ecological compensation mechanism, and implement ecological restoration policies such as returning farmland to forests and returning farmland to grassland.

西辽河上游生境质量时空演变特征与影响机制

PDF HTML阅读 XML下载 导出引用 引用提醒 西辽河上游生境质量时空演变特征与影响机制 DOI: 10.5846/stxb202112243648 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 国家重点研发计划（2016YFC0503603） Characteristics of spatio-temporal evolution and influence mechanism of habitat quality in the upper reaches of the West Liaohe River Author: Affiliation: Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:西辽河上游是我国辽河流域的重要水源地，其生境质量的好坏关系到下游流域生态安全和人类福祉。然而针对西辽河上游生境质量及其影响机制的研究还有待深入。基于ArcGIS软件、InVEST模型，定量分析了西辽河上游1980-2018年土地利用和生境质量的时空演变特征；并进一步探究了西辽河上游生境质量变化的主要驱动因子。结果表明：（1）1980-2018年，西辽河上游草地面积较1980年下降了21.93%，其中大部分转化为林地（7719.09 km2）、耕地（6014.90 km2）和裸地等（3025.71 km2）等，各斑块的空间分布异质性增加；尽管研究期内，林地面积较基期大幅度提升了48.67%，但全区域平均生境质量指数由0.74下降到0.72。（2）该地区无论在区域本底环境和区域社会经济发展水平上，均对于西辽河上游的生境质量改善产生了积极作用，年均气温（0.218）、降水（0.229）、地区生产总值（0.850）和受教育程度（0.132）与生境质量指数呈现较为明显的正相关关系；然而，本地区城镇化速率（-1.137）、景观分离度指数（-0.532）和道路的扩张（-0.394）与生境质量指数呈现较为明显的负相关，可见快速的城镇化所引起的人类活动加剧是导致区域生境质量的下降的重要诱因。本研究旨在为平衡区域发展和生态保护，为以半干旱农牧交错带地区为代表的生态脆弱区可持续发展提供科技支撑。 Abstract:The upper reaches of the West Liaohe River is one of the most important water sources of the Liaohe River Basin in China, and the quality of its habitat is directly related to the ecological security and human well-being of the downstream basin. However, the relevant studies on the habitat quality about the upper reaches of the West Liaohe River is still relatively scarce, and further studies on its influencing mechanism also needs to be conducted. Based on the models of ArcGIS and InVEST, our study quantitatively analyze the spatial and temporal evolution characteristics of land use and habitat quality on the upper reaches of the West Liaohe River from 1980 to 2018, what is more, we also further explored the main driving factors which caused the habitat quality changes during the 38 years. Several results have showed that:(1) From 1980 to 2018, the grassland patches area in the upper reaches of the West Liaohe River decreased by 21.93% compared with that in 1980, most of which has been converted into forest (about 7719.09 km2), farmland (about 6014.90 km2) and bareland (about 3025.71 km2). Meanwhile, the spatial heterogeneity of the land use patches in the study area has increased. Although the area of forest land patches increased by 48.67% compared with the that in 1980, the average habitat quality index of the whole area has dropped from 0.74 to 0.72. (2) Over the past 38 years, both the regional background environment and the level of regional social and economic development had played a positive role on the improvement of habitat quality in the upper reaches of the West Liaohe River. The factors, such as the annual average temperature, the precipitation, and the level of education, have shown significantly positively correlated with the habitat quality index, which regression coefficients were described as 0.218, 0.229, 0.850, 0.132 respectively. However, the factors, such as the urbanization rate, the splitting index, and the expansion of urban roads, have showed a negative relationship with the habitat quality index, which regression coefficients were expressed as -1.137, -0.532, and -0.394 respectively. It could be seen that the intensification of human activities caused by the rapid urbanization is an important inducement leading to the deterioration of the regional habitat quality. The study aimed to balance regional development and ecological protection about the upper reaches of the West Liaohe River. Moreover, it aimed to provide scientific and technological support for the sustainable development of ecologically fragile areas represented by semi-arid agro-pastoral ecotone. 参考文献 相似文献 引证文献

Habitat Quality Assessment in the Yellow River Delta Based on Remote Sensing and Scenario Analysis for Land Use/Land Cover

Land Use/Land Cover (LULC) change is one of the core features of global change. Habitat quality is an essential representation of ecosystem service functioning and ecosystem health. It is of great significance to assess the habitat quality spatiotemporal heterogeneity caused by land-use change in the regional ecological environment for security and sustainable regional management. Based on the interpreted LULC data of the Yellow River Delta (YRD) in 2000, 2010, and 2020, the PLUS model was used to forecast different LULC 2030 scenarios. Specifically, this study aimed to analyze the LULC change in the YRD and use the InVEST model to evaluate the overall habitat quality in the historical period of the region and future scenarios. From 2000 to 2020, the most critical land-use changes within a 20 km radius from the coastline in the study area are mainly the sharp increase in construction land, mariculture and salt pan, and the sharp decline of coastal wetlands, which is mainly due to the high intensity of human development activities and the process of erosion and deposition in coastal zones and estuarine deltas. During the period, the average habitat quality in the YRD decreased yearly, with the overall regional habitat quality classified as intermediate. The habitat quality was the most significant in the 0–20 km range from the coastline because of the high intensity of human development activities in this area. The habitat quality in the YRD varied under different scenarios in 2030. In the baseline scenario (BS) and socio-economic development (SD) scenario, the habitat quality decreased continuously, but the habitat quality increased under the ecological protection (EP) scenario. This research can provide relevant scientific references for optimizing landscape patterns and improving habitat quality in the YRD region.

Direct and Spillover Effects of Urban Land Expansion on Habitat Quality in Chengdu-Chongqing Urban Agglomeration

Urban land expansion has dramatically changed the spatial distribution patterns and functional structure of habitats. Previous studies on the spatial externality effect of urban land expansion on the habitat quality of urban agglomerations are still insufficient. With the use of remote sensing and statistical data from 2000 to 2018, this study explored the evolutionary relationship between urban land expansion and habitat quality in the Chengdu-Chongqing urban agglomeration (CUA) using the bivariate local autocorrelation method and spatial Durbin model. Partial differential equation decomposition of the local and spatial spillover effects was implemented to investigate the marginal effects of the influencing factors. The highlights of the results are as follows: CUA’s urban land increased by 2890.42 km2 from 2000 to 2018, mainly caused by urban encroachment over farmland and grassland. New urban lands were situated primarily in the main urban districts of Chengdu and Chongqing; urban expansion intensity slowed to 7.64% in 2010–2018, declining by 53.95% from 2000 to 2010. The average habitat quality decreased to 0.905, and two “ring-shaped decline areas” were formed around the main urban areas of Chengdu and Chongqing. “Low-High” and “Low-Low” clusters were the main associations between urban land expansion and habitat quality changes. The impact of urban land expansion on local habitat quality changed from insignificant to negative, while its spatial spillover effects over adjacent areas have increased the negative environmental externalities to habitat quality in adjacent areas through spatial spillovers. Our findings provide evidence for urban agglomerations such as CUA that are still being cultivated to carry out cross-city joint protection strategies of habitat quality, also proving that habitat quality protection should be an integration of urban expansion regulation, natural adaptation and socioeconomic adjustment.

Optimization of the Ecological Network Structure Based on Scenario Simulation and Trade-Offs/Synergies among Ecosystem Services in Nanping

The optimization of the ecological network structure in Nanping can provide a scientific reference for guaranteeing ecological safety in Southeast China. This study estimated ecosystem services in Nanping with the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model based on land-use data from 2020 to 2025 simulated with the CLUE-S model under the natural development scenario and ecological protection scenario and then explored their trade-offs and synergies. The ecological network structure was, thereafter, optimized in terms of the eco-matrix, eco-corridors and nodes based on simulated land use and ecosystem services. The results suggested that the average habitat quality and total soil retention increased, while the average degradation index and total water yield decreased under the ecological protection scenario, indicating that the ecological environment quality tended to be improved. In addition, soil retention had significant synergies with habitat quality and water yield, and habitat quality had significant trade-offs with ecological degradation and water yield on the regional scale under two scenarios, while ecological degradation also showed significant trade-offs with soil retention and water yield. In addition, the results suggested that 11 additional ecological sources could be added, and the number of eco-corridors increased from 15 to 136; a total of 1019 ecological break points were restored, and 1481 stepping stone patches were deployed, which jointly made network circuitry, edge/node ratio and network connectivity reach 0.45, 1.86 and 0.64, respectively, indicating that optimization could effectively improve the structure and connectivity of the ecological network. These findings can provide a theoretical basis for improving the ecological network structure and ecological service functions in Nanping and other regions.

Monitoring the Spatiotemporal Dynamics of Habitat Quality and Its Driving Factors Based on the Coupled NDVI-InVEST Model: A Case Study from the Tianshan Mountains in Xinjiang, China

Globally, mountains have suffered enormous biodiversity loss and habitat degradation due to climate change and human activities. As an agent of biodiversity, evaluating habitat quality (HQ) change is an indispensable key step for regional ecological security and human well-being enhancement, especially for fragile mountain ecosystems in arid areas. In this study, we aimed to propose an integrated framework coupled with the Normalized Difference Vegetation Index (NDVI) and Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST)-HQ module to improve the effectiveness and accuracy of HQ estimation. We highlighted the Tianshan Mountains in Xinjiang as an example to validate the model, as it is a typical representative of mountain ecosystems in the temperate arid zone. Specifically, we aimed to assess the spatiotemporal dynamics of HQ over the past two decades and investigate its influencing factors using a geographical detector model. The results show that, first, grassland and unused land were the main land-use types in the study area. The land-use transitions were mainly concentrated in grassland, woodland, water body, and unused land. Second, the total area of very important habitats and general habitats accounted for over 70% of the Tianshan Mountains. The average HQ decreased from 0.5044 to 0.4802 during 1995–2015. Third, the HQ exhibited significant spatial differentiation, and the Ili River Valley and Kaidu River Basin were the hot spots, while the south and east of the Tianshan Mountains were the cold spots. Habitat quality was strongly related to the terrain gradient, with an inverted “U” type. Protected areas of different categories played a vital role in biodiversity conservation. Finally, soil type, land-use change, precipitation, temperature, and grazing intensity were the dominant factors in response to HQ change for both the total Tianshan Mountains and sub-regions, followed by elevation, the relief degree of the land surface, gross domestic product, population density, and distance to tourism attractions. The interaction effects of the influencing factors were improved compared to the effects of the individual factors in each zone. Furthermore, these results provide decision-making criteria for formulating a scientific and systematic protection of ecology and restoration planning systems to enhance the capacity to address climate change.

Spatial–temporal evolution characteristics of land use and habitat quality in Shandong Province, China

To explore the sustainable mechanism of land use and habitat quality, the present study examined the land cover data of Shandong Province from 1980 to 2020 to understand the spatial–temporal evolution characteristics of land use. The “Integrated Valuation of Environmental Services and Trade-off” (InVEST-HQ) model and spatial auto-correlation model were further employed to evaluate the habitat quality and analyze the relationship between its spatial distribution pattern and land use type. Our results suggested that cultivated land was the dominant land use type in Shandong Province from 1980 to 2020. During this period, the area of water and URL (urban and rural industrial and mining residential land) were gradually increased, while other land types decreased progressively. Political and socio-economic factors were the dominant factors for the evolution of land use types, which exhibited significant stage variation characteristics, and the most drastic change was observed from 2010 to 2020. We further found that habitat quality in Shandong Province was dominated by moderate degradation, whose degree of degradation was positively correlated with the degree of land use development. Moreover, the average habitat quality decreased obviously over the past 40 years, and the fastest decreased period was similar to the phase change characteristics of land use types. In addition, habitat quality was significantly clustered in spatial distribution. Hot spots (high-value areas) were mainly natural ecosystems, while cold spots (low-value areas) were mainly ecosystems that were significantly affected by human activities, such as cultivated land and URL. Our findings suggest that administrators should formulate differentiation policies, solve the development dilemma of low-level habitat quality areas and build land space security pattern to promote the ecological quality.

Multi-Scenario Simulation Analysis of Land Use Impacts on Habitat Quality in Tianjin Based on the PLUS Model Coupled with the InVEST Model

Land use change is an important cause of habitat quality change. In order to reveal the impact of urban land use change on habitat quality, and to explore sustainable development planning, this paper uses the city of Tianjin, China, as a case study. Based on land use data from 2000, 2010, and 2020, the PLUS model was first used to predict land use in 2030 under three scenarios, and the InVEST model was then used to assess habitat quality from 2000 to 2030. This study showed that habitat quality was highly correlated with land use change. The rapid expansion of construction land was the main reason for the year-by-year decline in habitat quality. From 2000 to 2030, habitat quality in Tianjin declined year-by-year according to the average habitat quality values for 2030 for the three scenarios: the Ecological Protection Scenario (EPS) > Natural Development Scenario (NPS) > Economic Construction Scenario (ECS). In the EPS, habitat quality will deteriorate and improve. It would be ecologically beneficial to continue to work on the revegetation of the Jizhou area. In the ECS, habitat quality will decline sharply. In Tianjin, urbanization will continue to accelerate. This is a threat to the sustainable development of the city.