Wetland Resources Research Articles

Lacustrine Wetlands Landscape Simulation and Multi-Scenario Prediction Based on the Patch-Generating Land-Use Simulation Model: A Case Study on Shengjin Lake Reserve, China

Landscape simulation and prediction are crucial for understanding the dynamic evolution and future trends of wetlands. However, only a few existing studies have focused on the applicability and limitations of commonly used land-use/cover change (LUCC) simulation models in lake wetland landscapes. Taking Shengjin Lake Reserve in China as the study area, we firstly analyzed landscape variations during 2010–2020 using multisource remote sensing images. Then, the patch-generating land-use simulation (PLUS) model was employed to simulate wetland landscapes in 2020, the accuracy and limitation of which in simulating lacustrine wetlands were also explored. Lastly, the changing trends of wetland landscapes in 2030 under different development scenarios were predicted. The results show that the landscape of Shengjin Lake Reserve has changed significantly during 2010–2020, with increases in mudflats, reservoirs/ponds, woodlands, and built-up land, and there has been decreases in lakes, grass beaches, and croplands. The PLUS model demonstrated an ideal simulation accuracy for Shengjin Lake Reserve, with the overall accuracy exceeding 80%, kappa coefficient greater than 0.75, and figure of merit (FOM) coefficient of 0.35, indicating that the model can capture the dynamic changes in wetland landscapes accurately. The simulation accuracy can be effectively improved with the adjacent initial year, shorter time interval, and the primary driver factors. Under the natural development scenario, the number of patches in the Shengjin Lake Reserve increased sharply, and landscape fragmentation intensified. Under the urban development scenario, the expansion of built-up land increased, and the average patch area increased. In the ecological protection scenario, the Shannon diversity index and Shannon evenness index of the landscape improved significantly, and the natural wetlands such as grass beaches and lakes can be protected effectively. Our study confirms the applicability of the PLUS model in simulating and predicting lacustrine wetlands landscapes, and the conclusions provide a scientific basis for formulating reasonable development strategies to realize wetland resource conservation and management.

Establishing Natural Resources Monitoring Systems in China: Situation, Problem and Suggestion

Abstract. In order to fundamentally support work for achieve "climate action, life below water, and life on land" 3 Sustainable Development Goals of the United Nations, and to realize unified monitoring and refined management of natural resources, this paper collects, organizes, analyzes, and summarizes national policy, management department documents, relevant papers, and the latest industry development trends through the literature induction method. It systematically studies current monitoring networks from the perspectives of land resources monitoring, mineral resources monitoring, forest resources monitoring, grassland resources monitoring, water resources monitoring, wetland resources monitoring, marine resources monitoring. It indicates such problems as inconsistent classification standards and monitoring technical standards for natural resources, lack of smooth connection among monitoring networks, and insufficient high-tech applications. It proposes suggestions of building 1+N monitoring system, coordinating multi-level and multi-category monitoring mechanisms, improving monitoring intelligence level, strengthening the ability to obtain multi-source spatiotemporal data, and constructing an information sharing platform, to better build a unified natural resource monitoring system, and serve the refined management of natural resources.

Wetland Landscape Dynamics and Multi-Functional Assessment of Wuhan City, China

Under the dual pressures of rapid urbanization and intensifying global climate change, China has proposed governance policies aimed at promoting ecological urban construction. Wetland landscapes play a key role in sustaining human and social well-being. As a significant city in the middle reaches of the Yangtze River, Wuhan’s wetland resources play an irreplaceable role in maintaining the regional ecological balance and promoting sustainable economic and social development. However, urbanization poses a severe challenge to the ecological service functions of wetlands. Consequently, in this study, we analyzed the spatial–temporal evolution patterns of the sub-functional systems of carbon sequestration, biodiversity conservation, water yield, and water purification in five wetland types in Wuhan City from 2000 to 2020 by using the CASA model and InVEST model. Then, a wetland multi-functional assessment framework was constructed to quantify the comprehensive multi-function score. It is imperative to unravel the underlying mechanisms driving the changes in wetland functions and to explore the equilibrium point between wetland conservation and urban sustainable development. Our results show that the wetland area of Wuhan City decreased from 5077.33 km2 in 2000 to 4696.60 km2 in 2020, and the wetland multi-functions exhibited significant spatial heterogeneity from 2000 to 2020. Wetland carbon sequestration increased from 0.94 Tg in 2000 to 1.11 Tg in 2020. The wetland habitat quality declined from 0.13 in 2000 to 0.11 in 2020. The water production of the wetlands increased from 5.43 × 109 t in 2000 to 22.59 × 109 t in 2020. The wetland N loss decreased from 55,850.58 t in 2000 to 49,209.93 t in 2020. The highest multi-function score was in paddy fields, which increased from 0.41 ± 0.12 to 0.51 ± 0.12, followed by tidal flats, which increased from 0.39 ± 0.14 to 0.50 ± 0.16, and the lowest was rivers, which also increased from 0.33 ± 0.12 to 0.41 ± 0.14. The multi-function score was closely related to the wetland type and urban development direction over the past two decades, and it was negatively correlated with production and living density, providing new ideas for wetland ecological protection and construction in Wuhan City.

Simulation of the future evolution track of “production–living–ecological” space in coastal cities based on multimodel coupling and wetland protection scenarios

Coastal cities hold a special position in the fields of production, living, and ecological research because of their unique wetland resource advantages. However, with global urbanization and rapid economic development, conflicts among production, living and ecological land are prevalent in coastal cities in the process of maintaining sustainable wetland resources and further developing the social economy. By establishing an SD-PLUS-CCD coupling model, this paper analysed the evolution characteristics and driving mechanism of the production–living–ecological space (PLES) and the effects of wetland protection (WLP) on promoting or inhibiting the coordinated development of the PLES in Dongying city during 2005–2060. The results show that (1) from 2005 to 2020, the increase in urban population resulted in a significant transfer of arable land and a reduction of 914 km2 in production space (PS); (2) from 2020 to 2060, under the WLP scenario, the conversion of wetland ecological space will reduce the PS and living space (LS) by 193.92 km2 and 107.14 km2, respectively, and increase the ecological space (ES) by 327.52 km2; and (3) wetland protection has an inhibitory effect on the coordinated development of PLES in the study area, and the total proportion of noncoordinated areas of PE and living–ecological space will continue to increase during the simulation period. This paper provides a solid theoretical support for the sustainable management and protection of wetlands in coastal cities and possible PLES conflict patterns and provides a scientific basis for future territorial spatial planning and policy balance analysis.

WITHDRAWN: Restoration of the ecological network structure based on the spatiotemporal changes of the wintering Grus japonensis habitat in the Yancheng coastal area

As an Asian endemic species, Grus japonensis (G. japonensis) reproduction and survival rely on natural wetland resources. G. japonensis is adept at long-distance flight, thereby displaying distinct network structural characteristics in its utilization of habitat within its range. Therefore, scientific restoration and management of the ecological network (ENs) are urgently needed. On the basis of the data of G. japonensis and environmental data, this study used the MaxEnt model, stepping-stone theory, and circuit models to analyze the spatiotemporal changes in the ENs structure of G. japonensis habitat. The primary factors influencing the habitat suitability of G. japonensis was the distance to Phragmites australis (P. australis) community. The area of ecological source areas decreased from 56,528.59 hm2 in 1987 to 14,040.20 hm2 in 2021, with the distribution range contracting from Beihuan (BH), Nanhuan (NH), Hexin (HX) and Tiaozini (TZN) to Hexin (HX). Between 1987 and 2007, there were dense ecological corridors along the coastal areas. However, by 2021, only BH and HX had dense ecological corridors between them. The node centrality of HX decreased from 900.78 in 1987 to 264.64 in 2021, with the most significant decrease between 2007 and 2021. On this basis, the expanded habitat area, the stepping stone area in 2021 and the ecological source area of 2007 with low development intensity were taken as restoration areas. The restoration areas were classified into two types based on their distribution: landing nodes and expansion nodes. The addition of landing nodes enhanced the overall stability of the ENs, resulting in an increase in the centrality of nodes from 264.64 to 398.08. Finally, an optimization and restoration framework for the habitat network based on identifying priority restoration areas, land use type transformation, and enhancing ENs stability for habitat restoration was proposed.

Urban political ecology of wetland resources in Bamenda town, north west region, Cameroon

<p class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph; line-height: 120%; mso-pagination: none; mso-hyphenate: none; layout-grid-mode: char; mso-layout-grid-align: none; margin: 12.0pt 0cm 6.0pt 147.4pt;"><span lang="EN-US" style="font-size: 10.0pt; line-height: 120%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-fareast-language: EN-SG; layout-grid-mode: line;">Wetlands are unique ecosystems that </span><span lang="EN-US" style="font-size: 10.0pt; mso-bidi-font-size: 11.0pt; line-height: 120%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 宋体; color: black; mso-themecolor: text1; mso-fareast-language: EN-US;">play</span><span lang="EN-US" style="font-size: 10.0pt; line-height: 120%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-fareast-language: EN-SG; layout-grid-mode: line;"> a critical role in the preservation of biodiversity and the provision of ecological services. This work on the Urban Political Ecology (UPE) of wetland resources in Bamenda has as objective to examine stakeholder participation and power relations resulting from the exploitation and management of wetlands. It looks at the challenges of wetland conservation in context of rapid urbanization. Using a mixed methods approach and the specific case of Bamenda III municipality, data was collected from secondary and primary sources. A household questionnaire survey was conducted with 150 households while 12 in-depth interviews were carried out with key informants. Data was analyzed quantitatively and qualitative and results were critiqued using the lens of UPE. Results show that between 1988 and 2022, wetlands reduction was more than 6.78%. This reduction is caused by agriculture, land reclamation and expansion of urban infrastructure. As such, Conservation has become a huge challenge due to overlapping responsibilities and an ambiguous regulatory system that focuses on biodiversity conservation only. This has created conflictual power relations and a complexified management system. The UPE approach has revealed that the consideration of socio-economic and cultural ecosystem services in wetland management is key to sustainability.</span></p>

Losses and destabilization of soil organic carbon stocks in coastal wetlands converted into aquaculture ponds.

Coastal-wetlands play a crucial role as carbon (C) reservoirs on Earth due to their C pool composition and functional sink, making them significant for mitigating global climate change. However, due to the development and utilization of wetland resources, many wetlands have been transformed into other land-use types. The current study focuses on the alterations in soil organic-C (SOC) in coastal-wetlands following reclamation into aquaculture ponds. We conducted sampling at 11 different coastal-wetlands along the tropical to temperate regions of the China coast. Each site included two community types, one with solely native species (Suaeda salsa, Phragmites australis and Mangroves) and the other with an adjacent reclaimed aquaculture pond. Across these 11 locations we compared SOC stock, active OC fractions, and soil physicochemical properties between coastal wetlands and aquaculture ponds. We observed that different soil uses, sampling sites, and their interaction had significant effects on SOC and its stock (p < .05). Reclamation significantly declined SOC concentration at depths of 0-15 cm and 15-30 cm by 35.5% and 30.3%, respectively, and also decreased SOC stock at 0-15 cm and 15-30 cm depths by 29.1% and 37.9%, respectively. Similar trends were evident for SOC stock, labile organic-C, dissolved organic-C and microbial biomass organic-C concentrations (p < .05), indicating soil C-destabilization and losses from soil following conversion. Soils in aquaculture ponds exhibited higher bulk density (BD; 11.3%) and lower levels of salinity (61.0%), soil water content (SWC; 11.7%), total nitrogen (TN) concentration (23.8%) and available-nitrogen concentration (37.7%; p < .05) than coastal-wetlands. Redundancy-analysis revealed that pH, BD and TN concentration were the key variables most linked with temporal variations in SOC fractions and stock between two land use types. This study provides a theoretical basis for the rational utilization and management of wetland resources, the achievement of an environment-friendly society, and the preservation of multiple service functions within wetland ecosystems.

Quantifying the Cumulative Effects of Large-Scale Reclamation on Coastal Wetland Degradation

Considering the importance of coastal wetlands as key land resources and the ecological degradation caused by large-scale and multi-stage reclamation, as well as the significant synergistic and superimposed effects of reclamation on wetland degradation in temporal and spatial dimensions, it is vital to conduct in-depth research on the impact mechanisms and cumulative effects of reclamation on wetland degradation. However, the existing methods for evaluating these cumulative effects still have some shortcomings in characterizing the spatiotemporal scale. Consequently, it is urgent to introduce or develop a cumulative effect evaluation method based on remote sensing. Taking the Jiangsu coastal wetland as a typical case study area, the present study constructed a cumulative effect evaluation method based on calculus theory combined with landscape succession modeling and statistical analysis. This method was then used to quantitatively analyze the impacts and cumulative effects of reclamation on wetland degradation in the Jiangsu coastal region from 1980 to 2024. The results show that degradation of the Jiangsu coastal wetlands over the last 45 years covered 2931.54 km2, accounting for 46.92% of the area in 1980. This degradation primarily reflects a shift from natural wetland to constructed wetland. In addition, the reclaimed area of 2119.61 km2 is mainly used for aquaculture and agricultural cultivation. The reclamation rate of Jiangsu showed insignificant fluctuations and significant spatial differences. The reclamation rate of the north counties and cities presented a downward trend, while that of the south counties and cities presented an upward trend. Reclamation has a significant impact on wetland degradation, with a contribution rate of 50.62%. The cumulative effect in the study area reached its maximum value in 2015, except for Nantong City. This study provides a new perspective for quantitatively analyzing the impacts and cumulative effects of coastal wetland reclamation and provides guidance for the effective management and sustainable utilization of coastal wetland resources.

Fine-Resolution Wetland Mapping in the Yellow River Basin Using Sentinel-1/2 Data via Zoning-Based Random Forest with Remote Sensing Feature Preferences

Accurate wetland classification in the Yellow River Basin (YRB) is crucial for China’s ecological security, sustainable development, and wetland resource management. This calls for more sustained research on regional variations and studies on remote sensing features, especially with temporal considerations. To address this and the optimization of feature extraction as well as ranking, Sentinel-1 and Sentinel-2 images were used. Additionally, to achieve more precise wetland classification, the YRB was subdivided into four regions for random forest classification. The results show that different remote sensing indices effectively distinguish various wetland types and that key percentiles play a significant role in distinguishing wetland types. The 10 m refined wetland classification map for 2020, with an overall accuracy of 85%, demonstrates that this framework can meet the needs of conventional large-scale wetland analysis and management. The total area of wetlands in the YRB in 2020 was 33,554.67 km2, mainly distributed in the upper reaches of the YRB (71%), with seasonal marshes being predominant. The total water area reached 8538.64 km2, primarily distributed in the upper reaches of the YRB (57.40%). This high-resolution wetland map offers crucial insights and tools for monitoring, protecting wetland resources, and shaping policies, advancing regional sustainable development goals.

Studies on the conservation and sustainability challenges of the wetland resources of the Baro-Akobo River Basin in Gambella and Benishangul-Gumuz regions, Ethiopia

In this study, the water quality of the Baro-Akobo River Basin in Ethiopia was comprehensively assessed. Key parameters including temperature (°C), pH, dissolved oxygen (DO), electrical conductivity, total dissolved solids (TDS), and ion concentrations such as K+, Ca2+, Na+, NO3−, NO2−, PO43−, CO32−, HCO3−, and NH4+were measured using standard methods, alongside sampling of phytoplankton, zooplankton, macroinvertebrates, macrophytes, and fish. Phytoplankton and zooplankton were sampled using Hydrobios nets with mesh sizes of 30 μm and 55 μm, respectively, while macroinvertebrates were collected via the kicking method. Results indicated generally alkaline pH levels and elevated turbidity, but acceptable levels of dissolved oxygen and ion concentrations according to WHO and FAO guidelines. Moreover, the study suggests that the wetlands in Gambella and Benishangul-Gumz regions are currently in good condition, providing valuable insights for the conservation and sustainable management of Ethiopia's water resources, ensuring their conservation for both present and future generations. Local authorities can use the study's findings to implement remedial measures to protect water quality and biodiversity in the regions.

Characteristics of Changes in Typical Mountain Wetlands in the Middle and High Latitudes of China over the Past 30 Years

Analysis of the driving mechanisms of wetland change can help identify spatial differences in the mechanisms affecting various elements, enabling a more scientific approach to the conservation and utilization of wetlands. This study investigated the impacts of natural and anthropogenic factors on the spatiotemporal evolution of the Altay and Greater and Lesser Khingan Mountains areas using Landsat satellite image data from 1980 to 2018 and fieldwork data from 2019 to 2020. A transfer matrix, correlation analysis, and dynamic characteristics were applied to calculate and analyze the transformation types and areas of wetland resources across all consecutive periods. Finally, the dominant factors influencing the spatiotemporal evolution of the wetland were explored and revealed using the drought index (Standardized Precipitation Index, SPEI) and statistical almanacs. The results showed: (1) From 1980 to 2018, the wetlands area in the Altay Mountains exhibited a decreasing trend, whereas the wetlands area in the Greater and Lesser Khingan Mountains showed an increasing trend. The primary type of wetland transfer in the Altay Mountains was grassland, whereas in the Greater and Lesser Khingan Mountains regions, the primary types of wetland transfer were grassland and forestland. The wetlands area transferred out of the Altay Mountain region was larger than the area of wetland types transferred into during 2010–2018, whereas the wetland areas of the Greater and Lesser Khingan Mountain areas showed the opposite trend. (2) From 1980 to 2018, the wetland ecosystem types in the Altay Mountains exhibited the highest dynamic and conversion degrees of the channels. Similarly, the mountain areas of the Greater Khingan Mountains showed the highest dynamic and conversion degrees of marshes and channels among the wetland types. In addition, the mountainous areas of the Lesser Khingan Mountains showed the highest dynamic and conversion degrees for reservoirs and rivers. (3) Natural driving factor analysis revealed that the SPEI values in the Altay Mountains and the Greater and Lesser Khingan Mountains areas exhibited an increasing trend, indicating that the climate has been warm and humid over the past 30 years and that the expansion of cropland and human-made wetland areas has been significantly influenced by human activities. Therefore, the wetland areas of the Greater and Lesser Khingan Mountains in the northeast are strongly influenced by human activities, whereas the wetland in the Altay Mountains in the northwest is strongly influenced by the climate.

Wetland Distribution Prediction Based on CA–Markov Model under Current Land Use and Protection Policy in Sanjiang Plain

The conflict between grain production and wetland resource protection in plain wetland is prominent. Understanding the future impacts of current land use policies on wetlands is the key to rationally evaluating and adjusting these policies. Therefore, the objective of the research was to predict the potential distribution of Sanjiang plain wetland under the current land use and protection policy using remote sensing images and CA Markov models. Methodologically, Landsat TM remote sensing images of the Sanjiang Plain (2010–2020) were used to extract wetland distribution based on object-oriented methods, and the characteristics and patterns of wetland change caused by the land use and protection policies during this period were analyzed. A CA–Markov model was used to predict the potential distribution of Sanjiang Plain wetland in 2030, 2040, 2050, and 2060. Then, we summarized the advantages and disadvantages of current land use policies and put forward adjustment measures. The results indicate that during 2010 and 2020, the wetland area of Sanjiang Plain decreased by 22.34%. The conversion ratio of wetland to non-wetland type (mainly farmland) in the first half and the second half of the decade was 46.41% and 15.31%, respectively, and the decrease in wetland showed an obvious slowing trend. The spatial distribution prediction in future showed that the wetland area will continue to decline in 2030, and the decline will basically stop in 2040. Finally, the proportion of wetland area will remain at 8.68% of the total area of Sanjiang Plain, with that of some counties and cities less than 5%. It is concluded that, although the current land use policies in Sanjiang Plain can effectively slow down the wetland area shrinking and stabilize the spatial pattern, a very low proportion of wetland area in some areas will make it difficult for the wetland ecosystem to exert ecological functions and ensure regional ecological security. The wetland conservation managers should adjust the current land use policies according to relevant requirements of farmland protection policies and restore the areal proportion and spatial pattern of wetland in order to help with regional sustainable development.

Sustainable Management Practices of Sio-River Wetland, Nambale Sub-County, Busia County

Wetlands are vital resources on the earth's surface and their roles and functions cannot be underestimated. The unique nature of the wetlands is recognized both at global and local levels. The objective of this study is to examine the sustainable management of the Sio-River Wetland in Nambale Sub-County. There is scanty research done to examine and document the sustainable management of the wetlands for the residents of Nambale Sub-County hence the need for study. To underscore the objective, a mixed research approach coupled with cross-sectional research design was used. Questionnaires, observation, interview guides, Geographical Information System and Remote Sensing were used in data collection. Questionnaires were administered to 400 inhabitants through cluster, simple random and purposive sampling. Qualitative data was thematically analysed while quantitative data was analysed using the Statistical Package for Social Sciences (SPSS Ver.21). Results showed that human activities, more so, agriculture degrade the wetlands by 80%. It, therefore, concluded that there was no balance between human activities and sustainable management of Sio-River Wetland due to the irresponsibility of the local community, inadequate policies and laws and lack of integrated approach in management. In this aspect, this study recommends rehabilitation and restoration of fragile ecosystems, allocation of funds for research and development and adoption of an integrated approach in wetland management to enhance the sustainability of wetlands in Nambale Sub-County and other parts of the world. The study recommends participatory management of wetland resources and additional knowledge in the field of Sustainable Management of Rivers and Wetland Ecosystems

Habitat quality evaluation and pattern simulation of coastal salt marsh wetlands

Coastal salt marsh wetlands not only sequester a large amount of organic carbon, mitigating the effect of climate change, but also nurture rich wetland resources and diverse ecological environments. In this study, habitat pattern and quality of the Jiangsu Yancheng Wetland Rare Birds National Nature Reserve were studied. The evolution of habitat patterns was analyzed using the U-Net model and Sentinel-2 data. The habitat quality was evaluated using the InVEST model, while the future habitat pattern in 2027 under different scenarios were simulated using the PLUS model. Our results showed that, during 2017–2022, the Suaeda salsa habitat showed a net decrease in area of 2077.61 ha, while Spartina alterniflora and Phragmites australis habitats manifested a net increase in different degrees. The overall habitat pattern was characterized by fragmentation decline and regularization enhancement. The habitat quality decreased from 0.75 to 0.72, mainly due to the loss of the S. salsa habitat and the expansion of the P. australis habitat. The simulation results indicated that, the habitat quality is expected to further decline to 0.71 under the natural development scenario, and 390.27 ha of S. salsa habitat will convert to P. australis. While in government control scenario, the habitat quality is expected to improve to 0.78, which was 0.07 higher than that in natural development scenario, and S. salsa habitat can be restored well. This study provides a scientific basis for the protection of suitable habitats for waterfowl and is crucial for the ecological conservation and management planning of nature reserves and coastal salt marsh wetlands.

Improved Classification of Coastal Wetlands in Yellow River Delta of China Using ResNet Combined with Feature-Preferred Bands Based on Attention Mechanism

The Yellow River Delta wetlands in China belong to the coastal wetland ecosystem, which is one of the youngest and most characteristic wetlands in the world. The Yellow River Delta wetlands are constantly changed by inland sediment and the influence of waves and storm surges, so the accurate classification of the coastal wetlands in the Yellow River Delta is of great significance for the rational utilization, development and protection of wetland resources. In this study, the Yellow River Delta sentinel-2 multispectral data were processed by super-resolution synthesis, and the feature bands were optimized. The optimal feature-band combination scheme was screened using the OIF algorithm. A deep learning model attention mechanism ResNet based on feature optimization with attention mechanism integration into the ResNet network is proposed. Compared with the classical machine learning model, the AM_ResNet model can effectively improve the classification accuracy of the wetlands in the Yellow River Delta. The overall accuracy was 94.61% with a Kappa of 0.93, and they were improved by about 6.99% and 0.1, respectively, compared with the best-performing Random Forest Classification in machine learning. The results show that the method can effectively improve the classification accuracy of the wetlands in the Yellow River Delta.

Improving Wetlands Entrepreneurial Orientation With Problem-Based Learning (PBL) At The Purun Crafts Center in South Kalimantan, Indonesia

Objective: Purun Danau (Lepironia articulata Retz.) is a typical wetland plant that can be used as high-value craft materials. Efforts to increase wetland entrepreneurial competency in Micro, Small and Medium Enterprises (MSMEs) expressed in entrepreneurial orientation (EO) are a crucial step to achieve community welfare and play a role in environmental sustainability. This study aims to measure and analyze the effectiveness of training on EO using the Problem-Based Learning (PBL). Theoretical Framework: EO is characterized by innovativeness, proactive attitude and risk-taking that supports the growth and development of MSMEs. Method: This study uses a quantitative method with quasi-experimental pre-test-post-test. Statistical analysis was carried out using SPSS Statistics version 26. Results and Discussion: Results of the study show there is significant difference in the level of EO before and after the implementation of PBL. There has been an increase in the level of EO from pre-test scores ranging between 1,630 and 2,982 and post-test scores between 2,364 and 3,498. Research Implications: This study has strong implications in building wetland MSME entrepreneurs, creating added value to natural wetland resources, and encouraging the creation of eco-friendly products. Originality/Value: This study has originality which focuses on increasing the entrepreneurial orientation of MSMEs with learning and training interventions using Problem-Based Learning (PBL).

Identification of Important Wetlands and Optimization of Landscape Patterns Based on Human Pressure Index: The Case of the Linghekou Wetland in China

The Linghekou wetland is a rich repository of ecological resources and serves as an important habitat for numerous rare and protected animals. However, due to a confluence of natural and anthropogenic factors, the ecological environment of the Linghekou wetland is facing a multitude of threats, including the reduction in wetland area, the degradation of wetland resources, and the instability of ecological structure. This paper employs an anthropogenic focus, utilizing the human pressure index (HPI), spatial autocorrelation, and cold and hot spot methods to identify crucial wetlands. These identified wetlands are then utilized as ecological source sites to optimize the landscape pattern of the Linghekou wetland, employing the minimum cumulative resistance (MCR) model. The final results indicated the identification of 6 ecological sources, 8 ecological corridors, and 42 ecological nodes. These were primarily concentrated in the southern region of the study area and were distributed in a reasonable manner. The method of identifying ecological sources when optimizing the landscape pattern with the MCR model was enriched by this approach. Additionally, the paper offers recommendations for the optimization of the landscape pattern of the Linghekou wetland and establishes a foundation for the protection and restoration of other similar wetlands.

Wetland Changes and Ecosystem Services Valuation of Kapla Beel in Assam

Background: Wetlands are productive ecosystem with immense potentiality of providing various goods and services. But they are fast depleting due to various natural and anthropogenic causes. Kapla beel is a freshwater wetland located in Barpeta district in the lower Brahmaputra valley of Assam. Area of the Kapla beel has been decreasing over the years. This study shall make an attempt to analyse the causes of land use and land cover changes of Kapla beel of Assam and assess its ecosystem services value changes during the period 1990 to 2022. Methods: To assess the changes, two Landsat images for the year 1990 and 2022 of Kapla beel were taken from the United State Geological Survey (USGS) Earth Explorer. Land-use change analysis was assessed by comparing the areas occupied by each land use in each period using the ArcGIS software. The dynamicity index is used to calculate the rate of change in land cover. In order to assess the changes in the wetland ecosystem service value due to wetland changes, Benefit Transfer Method is used which involves transferring monetary values of ecosystem services from previous studies. Result: The valuation of ecosystem services underlines the fact that wetlands are highly productive and economically viable ecosystems. Accounting of ecosystem services provides information about the need for optimal decision -making towards judicious use of wetland resources for their sustenance.

ASSESSING THE WILLINGNESS TO PAY FOR CONSERVATION AND MANAGEMENT OF WETLANDS AT JAGDISPUR RESERVOIR IN KAPILVASTU DISTRICT OF NEPAL

Wetlands are one of the world's most productive ecosystems. They have significant ecological, economic, cultural, and recreational significance. However, wetlands are being misused and degraded; therefore, wise and sustainable use of wetlands, conservation and management of wetlands resources are critical at the local level. Community-based conservation is a method of managing wetlands near settlements sustainably. The objective of this study was to determine local people's willingness to pay (WTP) for community-based conservation and management activities, as well as the factors which influence it, at the Jagdispur Reservoir in Nepal's Kapilvastu district. A total of 62 households were surveyed. Household surveys and key informant interviews were conducted. Contingent valuation was used to elicit WTP, while regression analysis identified significant determinants. Thirteen provisioning, regulating, cultural and supporting services were identified, including irrigation, fisheries, tourism and biodiversity. Of 62 households, 67% expressed WTP averaging NRs 3,351 (US $ 25.38) annually. WTP was higher for proximal households, reflecting greater dependence. Cash payments dominated, but labor contributions were also substantial. Age, income, participation in conservation, and distance from wetlands positively and significantly influenced WTP. Whereas education, gender, ethnicity and number of family members did not. The findings indicate a high value placed on sustaining wetland services, justifying investment in conservation and wise use. Follow-up research on governance, benefit sharing and sustainable financing is recommended to translate WTP into effective action. Overall, the results provide important baseline data to guide policies and collective action for wetland stewardship.

Simulation of wetland carbon storage in coastal cities under the coupled framework of socio-economic and ecological sustainability: A case study of Dongying city

Wetlands are an important part of the global carbon cycle, and wetland protection is an important way to achieve carbon neutrality and synergistic benefits between humans and ecosystems in China. However, most of the previous studies lack the influencing factors and driving paths of wetland carbon storage (WCS) from the perspective of coupled systems. Based on the SD-PLUS-InVEST coupling model and the socio-economic and ecological sustainability (SEES) coupling framework, this paper reveals the driving-feedback mechanism of wetland areas (WAs) from 2005 to 2060, and realizes the dynamic monitoring of WAs and a detailed assessment of WCS in Dongying city. The results show the following: WAs have a positive feedback relationship with the water resources and ecosystem service (ES) subsystems but a negative feedback relationship with the population and economic subsystems. The business as usual (BAU) scenario led to a malignant transformation of natural wetlands (NWs)-artificial wetlands (AWs)-production land (PL), increasing WCS by expanding AWs. The coordinated sustainable development (CSD) scenario created a virtuous PL-AW-NW transformation, increasing 421,700 tons of WCS compared with BAU. This study holds great significance for the protection, restoration, and sustainable development of wetland resources in coastal cities.