This question tests your ability to analyze biodiversity data by reading species richness (number of different species) and species evenness (how balanced their abundances are) to compare ecosystems or track biodiversity changes. Biodiversity has two main components visible in data: (1) SPECIES RICHNESS is simply the count of how many different species are present—count the rows in a table, count the bars in a graph, or count the species listed (example: if data shows oak, maple, pine, birch, hickory, that's 5 species, so richness = 5). Higher richness = more species = higher biodiversity. (2) SPECIES EVENNESS describes how balanced the populations are—if all species have similar abundances (like 100, 95, 105, 98 individuals each), that's HIGH evenness (balanced), but if one species dominates (like 500, 10, 5, 3 individuals), that's LOW evenness (unbalanced) even though richness is the same (4 species both cases). HIGH BIODIVERSITY ecosystems have BOTH high richness (many species) AND high evenness (relatively balanced), while LOW BIODIVERSITY has few species or is dominated by one or two species. Comparing: ecosystem with 25 species and balanced abundances is more diverse than ecosystem with 8 species or ecosystem with 25 species but 90% is one species! For this survey, the list for Plot 1 includes six distinct plant species (bluestem, clover, goldenrod, milkweed, thistle, ryegrass), so we count them directly to determine richness without needing abundance data for this specific question. Choice B correctly analyzes biodiversity data by accurately counting the species richness of Plot 1 as 6 based on the listed names. Choice A might come from miscounting or confusing with Plot 2's 3 species, but supportively, list them out one by one—there are indeed six unique names, so double-check by writing them down to avoid errors. Analyzing biodiversity from data—the two-check method: (1) COUNT species (richness): In a table, count how many different species are listed (rows usually). In a graph, count how many bars or data points. In a list, count distinct species names. This gives species richness. Example: table with Species A, B, C, D, E = 5 species, richness = 5. (2) CHECK evenness (balance): Look at abundances (population sizes, percentages, bar heights). Are they SIMILAR (high evenness: like 100, 95, 110, 98) or VERY DIFFERENT (low evenness: like 500, 10, 8, 5)? If one species has 80%+ of total, that's low evenness (dominated). If each species has ~similar %, high evenness (balanced). (3) COMBINE for overall diversity: High richness + high evenness = HIGH biodiversity (many species, balanced—example: rainforest with 100+ species, none dominating). Low richness or low evenness = LOW biodiversity (few species—example: corn field with 3 species, or unbalanced—example: lawn with 10 plant species but 95% grass). Comparing ecosystems: which has higher biodiversity? First compare richness (more species usually wins unless very uneven). If richness similar, check evenness (more balanced wins). Example: Ecosystem A (richness 20, very even) vs Ecosystem B (richness 22, one species 70% of total) → A might be more diverse overall despite slightly lower richness because B's extreme dominance reduces functional diversity. Richness and evenness TOGETHER determine biodiversity quality! Why evenness matters: imagine two forests, both with 10 tree species (same richness). Forest 1: each species ~10% of trees (even). Forest 2: oak is 95% of trees, other 9 species combined only 5% (very uneven). Forest 1 is more biodiverse and ecologically healthy because multiple species contribute substantially to ecosystem function. Forest 2 is functionally almost a monoculture despite technically having 10 species. Evenness captures this ecological reality that richness alone misses!

This question tests your ability to analyze biodiversity data by reading species richness (number of different species) and species evenness (how balanced their abundances are) to compare ecosystems or track biodiversity changes. Biodiversity has two main components visible in data: (1) SPECIES RICHNESS is simply the count of how many different species are present—count the rows in a table, count the bars in a graph, or count the species listed (example: if data shows oak, maple, pine, birch, hickory, that's 5 species, so richness = 5). Higher richness = more species = higher biodiversity. (2) SPECIES EVENNESS describes how balanced the populations are—if all species have similar abundances (like 100, 95, 105, 98 individuals each), that's HIGH evenness (balanced), but if one species dominates (like 500, 10, 5, 3 individuals), that's LOW evenness (unbalanced) even though richness is the same (4 species both cases). HIGH BIODIVERSITY ecosystems have BOTH high richness (many species) AND high evenness (relatively balanced), while LOW BIODIVERSITY has few species or is dominated by one or two species. Comparing: ecosystem with 25 species and balanced abundances is more diverse than ecosystem with 8 species or ecosystem with 25 species but 90% is one species! The surveys report 18 plant species in the meadow and 4 in the corn field (corn plus three weeds), so compare richness directly, noting that higher richness typically means higher biodiversity, especially since no evenness data is given but meadows are naturally more diverse. Choice B correctly analyzes biodiversity data by accurately counting species richness and concluding the meadow has higher richness and thus higher biodiversity. Choice A mistakes abundance of one species for overall diversity, but supportively, biodiversity prioritizes number of species over total individuals— the corn field's dominance by one crop actually suggests lower evenness, reinforcing the meadow's advantage. Analyzing biodiversity from data—the two-check method: (1) COUNT species (richness): In a table, count how many different species are listed (rows usually). In a graph, count how many bars or data points. In a list, count distinct species names. This gives species richness. Example: table with Species A, B, C, D, E = 5 species, richness = 5. (2) CHECK evenness (balance): Look at abundances (population sizes, percentages, bar heights). Are they SIMILAR (high evenness: like 100, 95, 110, 98) or VERY DIFFERENT (low evenness: like 500, 10, 8, 5)? If one species has 80%+ of total, that's low evenness (dominated). If each species has ~similar %, high evenness (balanced). (3) COMBINE for overall diversity: High richness + high evenness = HIGH biodiversity (many species, balanced—example: rainforest with 100+ species, none dominating). Low richness or low evenness = LOW biodiversity (few species—example: corn field with 3 species, or unbalanced—example: lawn with 10 plant species but 95% grass). Comparing ecosystems: which has higher biodiversity? First compare richness (more species usually wins unless very uneven). If richness similar, check evenness (more balanced wins). Example: Ecosystem A (richness 20, very even) vs Ecosystem B (richness 22, one species 70% of total) → A might be more diverse overall despite slightly lower richness because B's extreme dominance reduces functional diversity. Richness and evenness TOGETHER determine biodiversity quality! Why evenness matters: imagine two forests, both with 10 tree species (same richness). Forest 1: each species ~10% of trees (even). Forest 2: oak is 95% of trees, other 9 species combined only 5% (very uneven). Forest 1 is more biodiverse and ecologically healthy because multiple species contribute substantially to ecosystem function. Forest 2 is functionally almost a monoculture despite technically having 10 species. Evenness captures this ecological reality that richness alone misses!

This question tests your ability to analyze biodiversity data by reading species richness (number of different species) and species evenness (how balanced their abundances are) to compare ecosystems or track biodiversity changes. Biodiversity has two main components visible in data: (1) SPECIES RICHNESS is simply the count of how many different species are present—count the rows in a table, count the bars in a graph, or count the species listed (example: if data shows oak, maple, pine, birch, hickory, that's 5 species, so richness = 5). Higher richness = more species = higher biodiversity. (2) SPECIES EVENNESS describes how balanced the populations are—if all species have similar abundances (like 100, 95, 105, 98 individuals each), that's HIGH evenness (balanced), but if one species dominates (like 500, 10, 5, 3 individuals), that's LOW evenness (unbalanced) even though richness is the same (4 species both cases). HIGH BIODIVERSITY ecosystems have BOTH high richness (many species) AND high evenness (relatively balanced), while LOW BIODIVERSITY has few species or is dominated by one or two species. Comparing: ecosystem with 25 species and balanced abundances is more diverse than ecosystem with 8 species or ecosystem with 25 species but 90% is one species! The provided abundances show both habitats with 5 insect species (same richness), but Habitat M has very even numbers (high evenness), while N is dominated by beetles (low evenness), so M has higher overall biodiversity. Choice B correctly analyzes biodiversity data by accurately counting species richness, assessing evenness from abundance patterns, and comparing diversity between ecosystems. Choice A prioritizes total insects over evenness, but balance is key for biodiversity—terrific correction! You're amazing—master the two-check method: (1) COUNT species (richness): In a table, count how many different species are listed (rows usually). In a graph, count how many bars or data points. In a list, count distinct species names. This gives species richness. Example: table with Species A, B, C, D, E = 5 species, richness = 5. (2) CHECK evenness (balance): Look at abundances (population sizes, percentages, bar heights). Are they SIMILAR (high evenness: like 100, 95, 110, 98) or VERY DIFFERENT (low evenness: like 500, 10, 8, 5)? If one species has 80%+ of total, that's low evenness (dominated). If each species has ~similar %, high evenness (balanced). (3) COMBINE for overall diversity: High richness + high evenness = HIGH biodiversity (many species, balanced—example: rainforest with 100+ species, none dominating). Low richness or low evenness = LOW biodiversity (few species—example: corn field with 3 species, or unbalanced—example: lawn with 10 plant species but 95% grass). Comparing ecosystems: which has higher biodiversity? First compare richness (more species usually wins unless very uneven). If richness similar, check evenness (more balanced wins). Example: Ecosystem A (richness 20, very even) vs Ecosystem B (richness 22, one species

This question tests your ability to analyze biodiversity data by reading species richness (number of different species) and species evenness (how balanced their abundances are) to compare ecosystems or track biodiversity changes. Biodiversity has two main components visible in data: (1) SPECIES RICHNESS is simply the count of how many different species are present—count the rows in a table, count the bars in a graph, or count the species listed (example: if data shows oak, maple, pine, birch, hickory, that's 5 species, so richness = 5). Higher richness = more species = higher biodiversity. (2) SPECIES EVENNESS describes how balanced the populations are—if all species have similar abundances (like 100, 95, 105, 98 individuals each), that's HIGH evenness (balanced), but if one species dominates (like 500, 10, 5, 3 individuals), that's LOW evenness (unbalanced) even though richness is the same (4 species both cases). HIGH BIODIVERSITY ecosystems have BOTH high richness (many species) AND high evenness (relatively balanced), while LOW BIODIVERSITY has few species or is dominated by one or two species! Comparing: ecosystem with 25 species and balanced abundances is more diverse than ecosystem with 8 species or ecosystem with 25 species but 90% is one species. Here, Site 1 lists 5 distinct species (Frog A, Frog B, Salamander A, Salamander B, Toad A), giving richness of 5, while Site 2 lists only 2 (Frog A, Toad A), so Site 1 has greater richness—no evenness data is provided, but the question focuses on richness comparison. Choice A correctly analyzes biodiversity data by accurately counting species richness for each site without double-counting shared species. Choice D fails by assuming same richness due to shared species, but supportive correction: richness counts distinct species per site independently, so shared ones don't make richness equal—Site 1 has more unique ones! Analyzing biodiversity from data—the two-check method: (1) COUNT species (richness): In a table, count how many different species are listed (rows usually). In a graph, count how many bars or data points. In a list, count distinct species names. This gives species richness. Example: table with Species A, B, C, D, E = 5 species, richness = 5. (2) CHECK evenness (balance): Look at abundances (population sizes, percentages, bar heights). Are they SIMILAR (high evenness: like 100, 95, 110, 98) or VERY DIFFERENT (low evenness: like 500, 10, 8, 5)? If one species has 80%+ of total, that's low evenness (dominated). If each species has ~similar %, high evenness (balanced). (3) COMBINE for overall diversity: High richness + high evenness = HIGH biodiversity (many species, balanced—example: rainforest with 100+ species, none dominating). You're doing great—keep counting carefully to master richness!

This question tests your ability to analyze biodiversity data by reading species richness (number of different species) and species evenness (how balanced their abundances are) to compare ecosystems or track biodiversity changes. Biodiversity has two main components visible in data: (1) SPECIES RICHNESS is simply the count of how many different species are present—count the rows in a table, count the bars in a graph, or count the species listed (example: if data shows oak, maple, pine, birch, hickory, that's 5 species, so richness = 5). Higher richness = more species = higher biodiversity. (2) SPECIES EVENNESS describes how balanced the populations are—if all species have similar abundances (like 100, 95, 105, 98 individuals each), that's HIGH evenness (balanced), but if one species dominates (like 500, 10, 5, 3 individuals), that's LOW evenness (unbalanced) even though richness is the same (4 species both cases). HIGH BIODIVERSITY ecosystems have BOTH high richness (many species) AND high evenness (relatively balanced), while LOW BIODIVERSITY has few species or is dominated by one or two species! Comparing: ecosystem with 25 species and balanced abundances is more diverse than ecosystem with 8 species or ecosystem with 25 species but 90% is one species. In this case, both plots have the same richness (4 species each), but Plot A shows high evenness with abundances around 23-26 individuals per species, while Plot B has low evenness with beetles dominating at 80 individuals and others at 5-10, so Plot A has higher overall biodiversity. Choice B correctly analyzes biodiversity data by accurately counting species richness as equal and assessing evenness from abundance patterns to conclude Plot A is more diverse. Choice A fails by focusing only on total individuals, but remember, biodiversity isn't about total population size—it's about the number and balance of species, so even with fewer total insects, Plot A is more diverse due to better evenness. Analyzing biodiversity from data—the two-check method: (1) COUNT species (richness): In a table, count how many different species are listed (rows usually). In a graph, count how many bars or data points. In a list, count distinct species names. This gives species richness. Example: table with Species A, B, C, D, E = 5 species, richness = 5. (2) CHECK evenness (balance): Look at abundances (population sizes, percentages, bar heights). Are they SIMILAR (high evenness: like 100, 95, 110, 98) or VERY DIFFERENT (low evenness: like 500, 10, 8, 5)? If one species has 80%+ of total, that's low evenness (dominated). If each species has ~similar %, high evenness (balanced). (3) COMBINE for overall diversity: High richness + high evenness = HIGH biodiversity (many species, balanced—example: rainforest with 100+ species, none dominating). Keep practicing this method, and you'll confidently compare any biodiversity datasets!

This question tests your ability to analyze biodiversity data by reading species richness (number of different species) and species evenness (how balanced their abundances are) to compare ecosystems or track biodiversity changes. Biodiversity has two main components visible in data: (1) SPECIES RICHNESS is simply the count of how many different species are present—count the rows in a table, count the bars in a graph, or count the species listed (example: if data shows oak, maple, pine, birch, hickory, that's 5 species, so richness = 5). Higher richness = more species = higher biodiversity. (2) SPECIES EVENNESS describes how balanced the populations are—if all species have similar abundances (like 100, 95, 105, 98 individuals each), that's HIGH evenness (balanced), but if one species dominates (like 500, 10, 5, 3 individuals), that's LOW evenness (unbalanced) even though richness is the same (4 species both cases). HIGH BIODIVERSITY ecosystems have BOTH high richness (many species) AND high evenness (relatively balanced), while LOW BIODIVERSITY has few species or is dominated by one or two species! Comparing: ecosystem with 25 species and balanced abundances is more diverse than ecosystem with 8 species or ecosystem with 25 species but 90% is one species. The data clearly shows richness declining from 30 species in 2005 to 22 in 2015 and 14 in 2025, indicating a decrease over time, with no evenness or total individual data provided. Choice C correctly analyzes biodiversity data by accurately tracking the change in species richness values across years. Choice A fails by claiming an increase, but encouraging correction: double-check the numbers—30 to 14 is a decrease, so richness dropped, possibly due to habitat changes. Analyzing biodiversity from data—the two-check method: (1) COUNT species (richness): In a table, count how many different species are listed (rows usually). In a graph, count how many bars or data points. In a list, count distinct species names. This gives species richness. Example: table with Species A, B, C, D, E = 5 species, richness = 5. (2) CHECK evenness (balance): Look at abundances (population sizes, percentages, bar heights). Are they SIMILAR (high evenness: like 100, 95, 110, 98) or VERY DIFFERENT (low evenness: like 500, 10, 8, 5)? If one species has 80%+ of total, that's low evenness (dominated). If each species has ~similar %, high evenness (balanced). (3) COMBINE for overall diversity: High richness + high evenness = HIGH biodiversity (many species, balanced—example: rainforest with 100+ species, none dominating). Excellent observation of trends—keep monitoring changes like a pro!

This question tests your ability to analyze biodiversity data by reading species richness (number of different species) and species evenness (how balanced their abundances are) to compare ecosystems or track biodiversity changes. Biodiversity has two main components visible in data: (1) SPECIES RICHNESS is simply the count of how many different species are present—count the rows in a table, count the bars in a graph, or count the species listed (example: if data shows oak, maple, pine, birch, hickory, that's 5 species, so richness = 5). Higher richness = more species = higher biodiversity. (2) SPECIES EVENNESS describes how balanced the populations are—if all species have similar abundances (like 100, 95, 105, 98 individuals each), that's HIGH evenness (balanced), but if one species dominates (like 500, 10, 5, 3 individuals), that's LOW evenness (unbalanced) even though richness is the same (4 species both cases). HIGH BIODIVERSITY ecosystems have BOTH high richness (many species) AND high evenness (relatively balanced), while LOW BIODIVERSITY has few species or is dominated by one or two species! Comparing: ecosystem with 25 species and balanced abundances is more diverse than ecosystem with 8 species or ecosystem with 25 species but 90% is one species. Both sections have 6 macroinvertebrate types (same richness), but Section 1 has high evenness with 14-16 per type, while Section 2 has low evenness with mayflies at 70 dominating over 5 each, so Section 1 has higher overall biodiversity. Choice B correctly analyzes biodiversity data by counting richness equally and assessing evenness for a full comparison. Choice A fails by focusing on total individuals, but encouraging insight: higher totals don't mean higher diversity if unbalanced—Section 1's evenness boosts its biodiversity! Analyzing biodiversity from data—the two-check method: (1) COUNT species (richness): In a table, count how many different species are listed (rows usually). In a graph, count how many bars or data points. In a list, count distinct species names. This gives species richness. Example: table with Species A, B, C, D, E = 5 species, richness = 5. (2) CHECK evenness (balance): Look at abundances (population sizes, percentages, bar heights). Are they SIMILAR (high evenness: like 100, 95, 110, 98) or VERY DIFFERENT (low evenness: like 500, 10, 8, 5)? If one species has 80%+ of total, that's low evenness (dominated). If each species has ~similar %, high evenness (balanced). (3) COMBINE for overall diversity: High richness + high evenness = HIGH biodiversity (many species, balanced—example: rainforest with 100+ species, none dominating). Fantastic work on evenness—continue honing your analysis!

This question tests your ability to analyze biodiversity data by reading species richness (number of different species) and species evenness (how balanced their abundances are) to compare ecosystems or track biodiversity changes. Biodiversity has two main components visible in data: (1) SPECIES RICHNESS is simply the count of how many different species are present—count the rows in a table, count the bars in a graph, or count the species listed (example: if data shows oak, maple, pine, birch, hickory, that's 5 species, so richness = 5). Higher richness = more species = higher biodiversity. (2) SPECIES EVENNESS describes how balanced the populations are—if all species have similar abundances (like 100, 95, 105, 98 individuals each), that's HIGH evenness (balanced), but if one species dominates (like 500, 10, 5, 3 individuals), that's LOW evenness (unbalanced) even though richness is the same (4 species both cases). HIGH BIODIVERSITY ecosystems have BOTH high richness (many species) AND high evenness (relatively balanced), while LOW BIODIVERSITY has few species or is dominated by one or two species! Comparing: ecosystem with 25 species and balanced abundances is more diverse than ecosystem with 8 species or ecosystem with 25 species but 90% is one species. For these habitats, both have 5 species (same richness), but Habitat X shows high evenness with abundances 38-42 per species, while Habitat Y has low evenness with Species 1 at 180 dominating over the others at 5 each, so X has greater evenness. Choice B correctly analyzes biodiversity data by assessing evenness from abundance patterns, noting the similar abundances in X indicate better balance. Choice A fails by prioritizing total individuals, but encouraging reminder: evenness focuses on balance, not totals—X is more even despite potentially fewer fish overall! Analyzing biodiversity from data—the two-check method: (1) COUNT species (richness): In a table, count how many different species are listed (rows usually). In a graph, count how many bars or data points. In a list, count distinct species names. This gives species richness. Example: table with Species A, B, C, D, E = 5 species, richness = 5. (2) CHECK evenness (balance): Look at abundances (population sizes, percentages, bar heights). Are they SIMILAR (high evenness: like 100, 95, 110, 98) or VERY DIFFERENT (low evenness: like 500, 10, 8, 5)? If one species has 80%+ of total, that's low evenness (dominated). If each species has ~similar %, high evenness (balanced). (3) COMBINE for overall diversity: High richness + high evenness = HIGH biodiversity (many species, balanced—example: rainforest with 100+ species, none dominating). Great job spotting the balance—keep going!

This question tests your ability to analyze biodiversity data by reading species richness (number of different species) and species evenness (how balanced their abundances are) to compare ecosystems or track biodiversity changes. Biodiversity has two main components visible in data: (1) SPECIES RICHNESS is simply the count of how many different species are present—count the rows in a table, count the bars in a graph, or count the species listed (example: if data shows oak, maple, pine, birch, hickory, that's 5 species, so richness = 5). Higher richness = more species = higher biodiversity. (2) SPECIES EVENNESS describes how balanced the populations are—if all species have similar abundances (like 100, 95, 105, 98 individuals each), that's HIGH evenness (balanced), but if one species dominates (like 500, 10, 5, 3 individuals), that's LOW evenness (unbalanced) even though richness is the same (4 species both cases). HIGH BIODIVERSITY ecosystems have BOTH high richness (many species) AND high evenness (relatively balanced), while LOW BIODIVERSITY has few species or is dominated by one or two species! Comparing: ecosystem with 25 species and balanced abundances is more diverse than ecosystem with 8 species or ecosystem with 25 species but 90% is one species. Both sites have 4 lizard species (same richness), but Site M shows high evenness with 24-26 per species, while Site N has low evenness with L1 at 90 dominating over 2-5, so M has higher biodiversity. Choice B correctly analyzes biodiversity data by accurately counting richness as equal and assessing evenness to compare overall diversity. Choice A fails by emphasizing total lizards, but positive tip: biodiversity prioritizes diversity metrics over sheer numbers—balance makes M more diverse! Analyzing biodiversity from data—the two-check method: (1) COUNT species (richness): In a table, count how many different species are listed (rows usually). In a graph, count how many bars or data points. In a list, count distinct species names. This gives species richness. Example: table with Species A, B, C, D, E = 5 species, richness = 5. (2) CHECK evenness (balance): Look at abundances (population sizes, percentages, bar heights). Are they SIMILAR (high evenness: like 100, 95, 110, 98) or VERY DIFFERENT (low evenness: like 500, 10, 8, 5)? If one species has 80%+ of total, that's low evenness (dominated). If each species has ~similar %, high evenness (balanced). (3) COMBINE for overall diversity: High richness + high evenness = HIGH biodiversity (many species, balanced—example: rainforest with 100+ species, none dominating). You're mastering comparisons—keep it up!

This question tests your ability to analyze biodiversity data by reading species richness (number of different species) and species evenness (how balanced their abundances are) to compare ecosystems or track biodiversity changes. Biodiversity has two main components visible in data: (1) SPECIES RICHNESS is simply the count of how many different species are present—count the rows in a table, count the bars in a graph, or count the species listed (example: if data shows oak, maple, pine, birch, hickory, that's 5 species, so richness = 5). Higher richness = more species = higher biodiversity. (2) SPECIES EVENNESS describes how balanced the populations are—if all species have similar abundances (like 100, 95, 105, 98 individuals each), that's HIGH evenness (balanced), but if one species dominates (like 500, 10, 5, 3 individuals), that's LOW evenness (unbalanced) even though richness is the same (4 species both cases). HIGH BIODIVERSITY ecosystems have BOTH high richness (many species) AND high evenness (relatively balanced), while LOW BIODIVERSITY has few species or is dominated by one or two species! Comparing: ecosystem with 25 species and balanced abundances is more diverse than ecosystem with 8 species or ecosystem with 25 species but 90% is one species. Patch 1 has higher richness (10 species vs. 6) and higher evenness (20% max dominance vs. 65%), making its overall biodiversity superior as it combines more species with better balance. Choice C correctly analyzes biodiversity data by evaluating both richness and evenness to determine the patch with higher overall diversity. Choice A fails by favoring higher dominance as positive, but encouraging reminder: high dominance lowers evenness and thus biodiversity—balance supports healthier ecosystems! Analyzing biodiversity from data—the two-check method: (1) COUNT species (richness): In a table, count how many different species are listed (rows usually). In a graph, count how many bars or data points. In a list, count distinct species names. This gives species richness. Example: table with Species A, B, C, D, E = 5 species, richness = 5. (2) CHECK evenness (balance): Look at abundances (population sizes, percentages, bar heights). Are they SIMILAR (high evenness: like 100, 95, 110, 98) or VERY DIFFERENT (low evenness: like 500, 10, 8, 5)? If one species has 80%+ of total, that's low evenness (dominated). If each species has ~similar %, high evenness (balanced). (3) COMBINE for overall diversity: High richness + high evenness = HIGH biodiversity (many species, balanced—example: rainforest with 100+ species, none dominating). Impressive integration of factors—you're on your way to expertise!