For dynamic natural resource models a few fundamental questions are often omitted in practice such as (i) “Is it possible to calibrate the model?” and (ii) “Can we reconstruct all unknown dynamic state variables given a certain data record?” Other related questions are (iii) “Does the system allow the state variables to be controlled (or managed) to desired optimal values (e.g., in case of maximum sustainable yield)?” In this paper we highlight and discuss a software tool (the StrucID App) that allows a rapid evaluation of these fundamental and structural model properties that are important to study before a calibration and subsequent simulation of the model.
{"title":"Computing parameter identifiability and other structural properties for natural resource models","authors":"J. D. Stigter","doi":"10.1111/nrm.12382","DOIUrl":"https://doi.org/10.1111/nrm.12382","url":null,"abstract":"For dynamic natural resource models a few fundamental questions are often omitted in practice such as (i) “Is it possible to calibrate the model?” and (ii) “Can we reconstruct all unknown dynamic state variables given a certain data record?” Other related questions are (iii) “Does the system allow the state variables to be controlled (or managed) to desired optimal values (e.g., in case of maximum sustainable yield)?” In this paper we highlight and discuss a software tool (the StrucID App) that allows a rapid evaluation of these fundamental and structural model properties that are important to study before a calibration and subsequent simulation of the model.","PeriodicalId":49778,"journal":{"name":"Natural Resource Modeling","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44997612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maximum stand density index (SDIMAX) represents the carrying capacity of a forest stand based on the relationship between the number of trees and their size. Plot‐level inventory data provided through a collaborative network of federal, state, and private forest management groups were utilized to develop SDIMAX models for important Pacific Northwest conifers of western Washington and Oregon, USA. The influence of site‐specific climatic and environmental variables was explored within an ensemble learning model. Future climate projections based on global circulation models under different representative CO2 concentration pathways (RCP 4.5 and RCP 8.5) and timeframes (2050s and 2080s) were utilized in a space‐for‐time substitution to understand potential shifts in modeled SDIMAX. A majority of the region showed decreases in carrying capacity under future climate conditions. Modeled mean SDIMAX decreased 5.4% and 11.4% for Douglas‐fir (Pseudotsuga menziesii (Mirb.) Franco) dominated forests and decreased 6.6% and 8.9% for western hemlock (Tsuga heterophylla (Raf.) Sarg.) and Pacific silver fir (Abies amabilis), dominated forests under the RCP 4.5 in the 2050s and RCP 8.5 in the 2080s, respectively. Projected future conditions often fall outside the range of any contemporary climate profile, resulting in what may be referred to as extramural conditions. Within the study region, 45% and 46% of climate variables included in the final model were extramural for the Douglas‐fir and hemlock models, respectively, under RCP 8.5 in the 2080s. Although extrapolating beyond the range of input data is not appropriate and many unknowns remain regarding future climate projections, these results allow for general interpretations of the direction and magnitude of potential shifts in forest carrying capacity.
{"title":"Pacific Northwest conifer forest stand carrying capacity under future climate scenarios","authors":"R. Heiderman, Mark J. Kimsey","doi":"10.1111/nrm.12381","DOIUrl":"https://doi.org/10.1111/nrm.12381","url":null,"abstract":"Maximum stand density index (SDIMAX) represents the carrying capacity of a forest stand based on the relationship between the number of trees and their size. Plot‐level inventory data provided through a collaborative network of federal, state, and private forest management groups were utilized to develop SDIMAX models for important Pacific Northwest conifers of western Washington and Oregon, USA. The influence of site‐specific climatic and environmental variables was explored within an ensemble learning model. Future climate projections based on global circulation models under different representative CO2 concentration pathways (RCP 4.5 and RCP 8.5) and timeframes (2050s and 2080s) were utilized in a space‐for‐time substitution to understand potential shifts in modeled SDIMAX. A majority of the region showed decreases in carrying capacity under future climate conditions. Modeled mean SDIMAX decreased 5.4% and 11.4% for Douglas‐fir (Pseudotsuga menziesii (Mirb.) Franco) dominated forests and decreased 6.6% and 8.9% for western hemlock (Tsuga heterophylla (Raf.) Sarg.) and Pacific silver fir (Abies amabilis), dominated forests under the RCP 4.5 in the 2050s and RCP 8.5 in the 2080s, respectively. Projected future conditions often fall outside the range of any contemporary climate profile, resulting in what may be referred to as extramural conditions. Within the study region, 45% and 46% of climate variables included in the final model were extramural for the Douglas‐fir and hemlock models, respectively, under RCP 8.5 in the 2080s. Although extrapolating beyond the range of input data is not appropriate and many unknowns remain regarding future climate projections, these results allow for general interpretations of the direction and magnitude of potential shifts in forest carrying capacity.","PeriodicalId":49778,"journal":{"name":"Natural Resource Modeling","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47972333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Environmental planning facilitates decision‐making to achieve sustainable development goals and provides a crucial way to achieve integrated watershed management (IWM). However, such systematic planning has not been adequately conducted worldwide. Therefore, this study was conducted to develop an IWM framework using SWOT (i.e., strengths, weaknesses, opportunities, and threats) model for the Cheshmeh–Kileh Watershed, Mazandaran Province, Iran. The input components were comparatively weighted using different multicriteria decision‐making (MCDM) techniques, including Game Theory Algorithm (GTA), Best–Worst Method (BWM), VIekriterijumsko KOmpromisno Rangiranje (VIKOR), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and Simple Additive Weighting (SAW). Semistructured interviews with stakeholders, including watershed residents, executive experts, and policymakers, were used to identify the SWOT factors. The number of interviewees in subgroups of local users, policy‐making institutions and executive organization were 75, 13, and 6 respectively. Five different MCDM techniques were then used to calculate the overall weight of SWOT factors. According to the results, the groups of SWOT factors of abundant water resources, severe floods, promotion of environmental conservation culture, and increasing migration of young age groups with respective weights of 0.298, 0.298, 0.372, and 0.279 scored higher than other factors. Based on the overall weights, it can be said that positive factors scored more points than negative factors. Therefore, according to the opinions of the stakeholders, the Cheshmeh–Kileh Watershed was in a good condition based on strengths and opportunities compared to weaknesses and threats, and for this reason, GTA and SAW, which had included the watershed status in the growth and development strategy, were selected as the best method. BWM and TOPSIS provided relatively acceptable results, and the weakest result was associated with VIKOR, which showed the watershed status in the defensive strategy. The present study results can help managers in optimal decisions for planning and optimal management in the Cheshmeh–Kileh Watershed to create ecological balance and increase the welfare of watershed residents.
{"title":"Comparative applicability of MCDM‐SWOT based techniques for developing integrated watershed management framework","authors":"Ali Nasiri Khiavi, M. Vafakhah, S. Sadeghi","doi":"10.1111/nrm.12380","DOIUrl":"https://doi.org/10.1111/nrm.12380","url":null,"abstract":"Environmental planning facilitates decision‐making to achieve sustainable development goals and provides a crucial way to achieve integrated watershed management (IWM). However, such systematic planning has not been adequately conducted worldwide. Therefore, this study was conducted to develop an IWM framework using SWOT (i.e., strengths, weaknesses, opportunities, and threats) model for the Cheshmeh–Kileh Watershed, Mazandaran Province, Iran. The input components were comparatively weighted using different multicriteria decision‐making (MCDM) techniques, including Game Theory Algorithm (GTA), Best–Worst Method (BWM), VIekriterijumsko KOmpromisno Rangiranje (VIKOR), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and Simple Additive Weighting (SAW). Semistructured interviews with stakeholders, including watershed residents, executive experts, and policymakers, were used to identify the SWOT factors. The number of interviewees in subgroups of local users, policy‐making institutions and executive organization were 75, 13, and 6 respectively. Five different MCDM techniques were then used to calculate the overall weight of SWOT factors. According to the results, the groups of SWOT factors of abundant water resources, severe floods, promotion of environmental conservation culture, and increasing migration of young age groups with respective weights of 0.298, 0.298, 0.372, and 0.279 scored higher than other factors. Based on the overall weights, it can be said that positive factors scored more points than negative factors. Therefore, according to the opinions of the stakeholders, the Cheshmeh–Kileh Watershed was in a good condition based on strengths and opportunities compared to weaknesses and threats, and for this reason, GTA and SAW, which had included the watershed status in the growth and development strategy, were selected as the best method. BWM and TOPSIS provided relatively acceptable results, and the weakest result was associated with VIKOR, which showed the watershed status in the defensive strategy. The present study results can help managers in optimal decisions for planning and optimal management in the Cheshmeh–Kileh Watershed to create ecological balance and increase the welfare of watershed residents.","PeriodicalId":49778,"journal":{"name":"Natural Resource Modeling","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43334159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The global community recognizes land use and land cover change (LULC) as a primary cause of ecological modification that has a considerable impact on natural resources, particularly soil and water resources. The aim of this research was to investigate land use change's influences on soil erosion in the Matenchose watershed of Ethiopia in 1991, 2003, and 2020. The maximum likelihood classification (MLC) method was used in the study for supervised image analysis. Soil erosion was estimated using the geographic information system (GIS), remote sensing, and the Revised Universal Soil Loss Equation (RUSLE) model. According to the LULC data from 1991, the watershed was mostly covered by grassland (35%), while in 2003 and 2020, it was typically enclosed by cultivated land (36%) and (52%), respectively. The watershed's mean annual soil erosion rate grew significantly from 13 t/ha in 1991 to 18 t/ha in 2003 to 21 t/ha in 2020. Based on the current soil loss rate result, the Matenchose watershed was divided into five priority groups for soil management practices. In contrast, the watershed is made up of 2052 ha (21%) of areas with high to very high erosion risk, 3304 ha (33%) of areas with moderate erosion risk, and 2866 ha (29%) of areas with severe erosion risk. Based on the average annual rate of soil erosion, several vital subwatersheds were identified for potential future land management‐related actions. Over the 29 years, the area of grassland and forest decreased while agricultural and settlement areas expanded, and they contributed to the enhanced hazards of soil erosion. Particularly vulnerable to erosion are the watershed's hilly and steeper areas. The identified subwatersheds that are most at risk of erosion should be given priority for upcoming LULC initiatives, proper participatory watershed planning and management, and measures to conserve soil and water to preserve the Matenchose watershed's soil resources.
{"title":"Soil erosion variations along land use and land cover dynamics in Matenchose watershed, Rift Valley Basin, Southern Ethiopia","authors":"M. Mathewos, Misgena Tsegaye, N. Wondrade","doi":"10.1111/nrm.12379","DOIUrl":"https://doi.org/10.1111/nrm.12379","url":null,"abstract":"The global community recognizes land use and land cover change (LULC) as a primary cause of ecological modification that has a considerable impact on natural resources, particularly soil and water resources. The aim of this research was to investigate land use change's influences on soil erosion in the Matenchose watershed of Ethiopia in 1991, 2003, and 2020. The maximum likelihood classification (MLC) method was used in the study for supervised image analysis. Soil erosion was estimated using the geographic information system (GIS), remote sensing, and the Revised Universal Soil Loss Equation (RUSLE) model. According to the LULC data from 1991, the watershed was mostly covered by grassland (35%), while in 2003 and 2020, it was typically enclosed by cultivated land (36%) and (52%), respectively. The watershed's mean annual soil erosion rate grew significantly from 13 t/ha in 1991 to 18 t/ha in 2003 to 21 t/ha in 2020. Based on the current soil loss rate result, the Matenchose watershed was divided into five priority groups for soil management practices. In contrast, the watershed is made up of 2052 ha (21%) of areas with high to very high erosion risk, 3304 ha (33%) of areas with moderate erosion risk, and 2866 ha (29%) of areas with severe erosion risk. Based on the average annual rate of soil erosion, several vital subwatersheds were identified for potential future land management‐related actions. Over the 29 years, the area of grassland and forest decreased while agricultural and settlement areas expanded, and they contributed to the enhanced hazards of soil erosion. Particularly vulnerable to erosion are the watershed's hilly and steeper areas. The identified subwatersheds that are most at risk of erosion should be given priority for upcoming LULC initiatives, proper participatory watershed planning and management, and measures to conserve soil and water to preserve the Matenchose watershed's soil resources.","PeriodicalId":49778,"journal":{"name":"Natural Resource Modeling","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44057368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Iman Saeedi, Alireza Mikaeili Tabrizi, A. Bahremand, A. Salmanmahiny
Green Infrastructures as Best Management Practice (GI‐BMP) play important role in preserving cities from urban flood and excessive runoff. In the process of using GI‐BMP in cities for stormwater management, a number of steps are taken that normally include selection of suitable sites, formulating proper combination of infrastructures, and optimization of the place and design of GI‐BMPs to maximize their cost‐effectiveness. This paper presents a site‐scale GI‐BMP implementation in Tehran West Bus Terminal (TWBT), Iran. To achieve this goal, this study applies a three steps framework namely GI‐BMP suitability analysis, GI‐BMP combination planning, and GI‐BMP optimization. In the first step, using the BMP Siting Tool, the suitable places for allocating GI practices were identified. In the next step, suitable GI‐BMP practices, including permeable pavements, bioretention basin, infiltration trench, and rain barrel were planned and arranged for each subwatersheds of the study area. In the third step, with the use of System for Urban Stormwater Treatment and Analysis Integration (SUSTAIN) model and NSGA‐II algorithm, the sizes of the planned GI‐BMP types were optimized for each subwatershed. The results indicate that runoff problem caused by surface runoff in the study area was serious and needed to be controlled. The results also revealed that there were 104 near‐optimal solutions that help reduce runoff volume by up to 70%. According to the results, applying GI‐BMPs in TWBT will reduce 60% of flow volume in the site with the price of 353,568$. This research is of practical importance for stormwater management using nature‐based solutions in bus terminals.
{"title":"Planning and optimization of green infrastructures for stormwater management: The case of Tehran West Bus Terminal","authors":"Iman Saeedi, Alireza Mikaeili Tabrizi, A. Bahremand, A. Salmanmahiny","doi":"10.1111/nrm.12378","DOIUrl":"https://doi.org/10.1111/nrm.12378","url":null,"abstract":"Green Infrastructures as Best Management Practice (GI‐BMP) play important role in preserving cities from urban flood and excessive runoff. In the process of using GI‐BMP in cities for stormwater management, a number of steps are taken that normally include selection of suitable sites, formulating proper combination of infrastructures, and optimization of the place and design of GI‐BMPs to maximize their cost‐effectiveness. This paper presents a site‐scale GI‐BMP implementation in Tehran West Bus Terminal (TWBT), Iran. To achieve this goal, this study applies a three steps framework namely GI‐BMP suitability analysis, GI‐BMP combination planning, and GI‐BMP optimization. In the first step, using the BMP Siting Tool, the suitable places for allocating GI practices were identified. In the next step, suitable GI‐BMP practices, including permeable pavements, bioretention basin, infiltration trench, and rain barrel were planned and arranged for each subwatersheds of the study area. In the third step, with the use of System for Urban Stormwater Treatment and Analysis Integration (SUSTAIN) model and NSGA‐II algorithm, the sizes of the planned GI‐BMP types were optimized for each subwatershed. The results indicate that runoff problem caused by surface runoff in the study area was serious and needed to be controlled. The results also revealed that there were 104 near‐optimal solutions that help reduce runoff volume by up to 70%. According to the results, applying GI‐BMPs in TWBT will reduce 60% of flow volume in the site with the price of 353,568$. This research is of practical importance for stormwater management using nature‐based solutions in bus terminals.","PeriodicalId":49778,"journal":{"name":"Natural Resource Modeling","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46977739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The problem of optimal forest rotation in a nonstationary environment can, in general, not be solved analytically. Even qualitatively characterizing how the solution changes over time is only possible in some special cases. In this paper, we consider an approximation of the true solution to the nonstationary problem. We derive an approximate harvesting rule by solving a sequence of stationary problems that assume the growth conditions at that point in time will prevail indefinitely. Each such problem can be solved using the classic Faustmann rule. We numerically compare this approximate solution to the true solution, both in terms of the harvesting rule and the resulting expected profits, for a wide range of scenarios. We find that the harvesting rules are very similar (mostly <1 $lt 1$ % difference) and the profit losses associated with following the approximate rule are very small (less than 0.3%).
{"title":"Approximately optimal forest rotation in a nonstationary environment","authors":"J. Gars, Daniel Spiro","doi":"10.1111/nrm.12372","DOIUrl":"https://doi.org/10.1111/nrm.12372","url":null,"abstract":"The problem of optimal forest rotation in a nonstationary environment can, in general, not be solved analytically. Even qualitatively characterizing how the solution changes over time is only possible in some special cases. In this paper, we consider an approximation of the true solution to the nonstationary problem. We derive an approximate harvesting rule by solving a sequence of stationary problems that assume the growth conditions at that point in time will prevail indefinitely. Each such problem can be solved using the classic Faustmann rule. We numerically compare this approximate solution to the true solution, both in terms of the harvesting rule and the resulting expected profits, for a wide range of scenarios. We find that the harvesting rules are very similar (mostly <1 $lt 1$ % difference) and the profit losses associated with following the approximate rule are very small (less than 0.3%).","PeriodicalId":49778,"journal":{"name":"Natural Resource Modeling","volume":"1 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42025426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kishwar Ali, Jianguo Du, Derviş Kırıkkaleli, Z. Bács, J. Oláh
This research aimed to examine the relationship between financial inclusion (FNI), technological innovation (TIN), and natural resources (NRS) and their impact on environmental degradation in the 45‐belt and road initiative (BRI) region from 2001 to 2018. The study utilized advanced econometric techniques, including the generalized method of moments–panel vector autoregressive, as well as traditional methods such as ordinary least squares and dynamic ordinary least squares, to examine the relationship between these factors and environmental degradation, measured by carbon footprint (CFP) and ecological footprint (EFP). The long‐run estimate confirms that NRS and FNI appear to have led to higher regional CFPs and EFP pressure. Meanwhile, the relationship with TIN, economic governance institutions (government effectiveness and regularity quality), and human capital contribute to overcoming environmental degradation and increasing environmental sustainability. The findings of this study have important implications for policymakers and central authorities in the BRI region to address environmental degradation and promote sustainable development.
{"title":"Technological innovation, natural resources, financial inclusion, and environmental degradation in BRI economies","authors":"Kishwar Ali, Jianguo Du, Derviş Kırıkkaleli, Z. Bács, J. Oláh","doi":"10.1111/nrm.12373","DOIUrl":"https://doi.org/10.1111/nrm.12373","url":null,"abstract":"This research aimed to examine the relationship between financial inclusion (FNI), technological innovation (TIN), and natural resources (NRS) and their impact on environmental degradation in the 45‐belt and road initiative (BRI) region from 2001 to 2018. The study utilized advanced econometric techniques, including the generalized method of moments–panel vector autoregressive, as well as traditional methods such as ordinary least squares and dynamic ordinary least squares, to examine the relationship between these factors and environmental degradation, measured by carbon footprint (CFP) and ecological footprint (EFP). The long‐run estimate confirms that NRS and FNI appear to have led to higher regional CFPs and EFP pressure. Meanwhile, the relationship with TIN, economic governance institutions (government effectiveness and regularity quality), and human capital contribute to overcoming environmental degradation and increasing environmental sustainability. The findings of this study have important implications for policymakers and central authorities in the BRI region to address environmental degradation and promote sustainable development.","PeriodicalId":49778,"journal":{"name":"Natural Resource Modeling","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47744270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Sadeghi, Mostafa Zabihi Silabi, Hossein Sarvi Sadrabad, M. Riahi, Sedigheh Modarresi Tabatabaei
Assessing the health and security of natural ecosystems is unavoidable to regulate and manage deterioration and prioritize management and conservation activities. As a result, the current study was conducted to assess the health and ecological security of the Galazchai Watershed in Oshnavieh Township, West Azerbaijan Province, Iran, utilizing criteria linked to various hydrologic, anthropogenic, and climatic aspects. In the conceptual pressure–state–response (PSR) method, 26 criteria with acceptable variance inflation factor and Durbin–Watson statistics were chosen. The Galazchai Watershed's ecology's health and security status and spatial differences were also chosen and analyzed at 17 subwatersheds. The contributions of the pressure (P), status (S), and reaction (R) indices to the watershed health index were 38.3, 30.1, and 31.6%, respectively, according to the findings. The health index for the watershed ranged from 0.388 to 0.688. Almost 64% of the watershed's area was in relatively healthy conditions. Additionally, the maximum and the minimum values of the ecological security index were 0.608 and 0.236, allocating 58% of the area to moderate ecological security. The northern part of the watershed had healthier and moderately desirable ecological security than the southern part, with unhealthy and relatively undesirable conditions. In this sense, the main problems of the study area were primarily related to anthropogenic factors followed by hydrologic ones. The procedure used in the current study based on health and ecological security status can be applied as a practical guideline by local managers for efficient and adaptive watershed management.
{"title":"Watershed health and ecological security modeling using anthropogenic, hydrologic, and climatic factors","authors":"S. Sadeghi, Mostafa Zabihi Silabi, Hossein Sarvi Sadrabad, M. Riahi, Sedigheh Modarresi Tabatabaei","doi":"10.1111/nrm.12371","DOIUrl":"https://doi.org/10.1111/nrm.12371","url":null,"abstract":"Assessing the health and security of natural ecosystems is unavoidable to regulate and manage deterioration and prioritize management and conservation activities. As a result, the current study was conducted to assess the health and ecological security of the Galazchai Watershed in Oshnavieh Township, West Azerbaijan Province, Iran, utilizing criteria linked to various hydrologic, anthropogenic, and climatic aspects. In the conceptual pressure–state–response (PSR) method, 26 criteria with acceptable variance inflation factor and Durbin–Watson statistics were chosen. The Galazchai Watershed's ecology's health and security status and spatial differences were also chosen and analyzed at 17 subwatersheds. The contributions of the pressure (P), status (S), and reaction (R) indices to the watershed health index were 38.3, 30.1, and 31.6%, respectively, according to the findings. The health index for the watershed ranged from 0.388 to 0.688. Almost 64% of the watershed's area was in relatively healthy conditions. Additionally, the maximum and the minimum values of the ecological security index were 0.608 and 0.236, allocating 58% of the area to moderate ecological security. The northern part of the watershed had healthier and moderately desirable ecological security than the southern part, with unhealthy and relatively undesirable conditions. In this sense, the main problems of the study area were primarily related to anthropogenic factors followed by hydrologic ones. The procedure used in the current study based on health and ecological security status can be applied as a practical guideline by local managers for efficient and adaptive watershed management.","PeriodicalId":49778,"journal":{"name":"Natural Resource Modeling","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44561278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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