---
title: Wolves were brought back to Yellowstone in 1995 and changed where an… — The big biology quiz, part 3: dinosaurs, evoluti… · tree and pragmatics
description: Wolves were brought back to Yellowstone in 1995 and changed where and how elk grazed, and some trees grew back along rivers; scientists still argue about how big this ripple was, but a top predator can shape a whole food web. Who acts: elk, trees, scientists, ripple. A sentence of the lesson «The bi
---

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# The big biology quiz, part 3: dinosaurs, evolution, conservation and food, sentence 16

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Wolves were brought back to Yellowstone in 1995 and changed where and how elk grazed, and some trees grew back along rivers; scientists still argue about how big this ripple was, but a top predator can shape a whole food web.

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**Who acts:** elk, trees, scientists, ripple, top predator · **What happens:** bring back, change, graze, grow back, argue, be · **To what, where:** Wolves, 1995, rivers, whole food web

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This is a sentence of the lesson «The big biology quiz, part 3: dinosaurs, evolution, conservation and food» of the biology course of Mova's primary school. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (elk, trees, scientists, ripple), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:biology:300-the-big-biology-quiz-part-3-dinosaurs-evolution-conservation-and-food.lesson:16
# text = Wolves were brought back to Yellowstone in 1995 and changed where and how elk grazed, and some trees grew back along rivers; scientists still argue about how big this ripple was, but a top predator can shape a whole food web.
# source = school lesson (ours)
# course = biology
# lesson = 300-the-big-biology-quiz-part-3-dinosaurs-evolution-conservation-and-food.lesson
# annotation = Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R1-cc-next ×1, R3-conj-first ×1, R5-strong ×1
1	Wolves	wolf	NOUN	NNS	Number=Plur	3	nsubj:pass	_	_
2	were	be	AUX	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	3	aux:pass	_	_
3	brought	bring	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
4	back	back	ADV	RB	_	3	advmod	_	_
5	to	to	ADP	IN	_	6	case	_	_
6	Yellowstone	Yellowstone	PROPN	NNP	Number=Sing	4	obl	_	_
7	in	in	ADP	IN	_	8	case	_	_
8	1995	1995	NUM	CD	NumForm=Digit|NumType=Card	3	obl	_	_
9	and	and	CCONJ	CC	_	10	cc	_	_
10	changed	change	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	3	conj	_	_
11	where	where	ADV	WRB	PronType=Rel	15	advmod	_	_
12	and	and	CCONJ	CC	_	13	cc	_	Agree=R1-cc-next|Haiku=11:cc
13	how	how	ADV	WRB	PronType=Int	11	conj	_	_
14	elk	elk	NOUN	NNS	Number=Plur	15	nsubj	_	_
15	grazed	graze	VERB	VBD	Mood=Ind|Tense=Past|VerbForm=Fin	10	advcl	_	_
16	,	,	PUNCT	,	_	20	punct	_	_
17	and	and	CCONJ	CC	_	20	cc	_	_
18	some	some	DET	DT	PronType=Ind	19	det	_	_
19	trees	tree	NOUN	NNS	Number=Plur	20	nsubj	_	_
20	grew	grow	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	3	conj	_	Agree=R3-conj-first|Haiku=10:conj
21	back	back	ADV	RB	_	20	advmod	_	_
22	along	along	ADP	IN	_	23	case	_	_
23	rivers	river	NOUN	NNS	Number=Plur	20	obl	_	_
24	;	;	PUNCT	:	_	27	punct	_	_
25	scientists	scientist	NOUN	NNS	Number=Plur	27	nsubj	_	_
26	still	still	ADV	RB	_	27	advmod	_	_
27	argue	argue	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	10	parataxis	_	_
28	about	about	ADP	IN	_	30	case	_	_
29	how	how	ADV	WRB	PronType=Int	30	advmod	_	_
30	big	big	ADJ	JJ	Degree=Pos	27	obl	_	_
31	this	this	DET	DT	Number=Sing|PronType=Dem	32	det	_	_
32	ripple	ripple	NOUN	NN	Number=Sing	30	nsubj	_	_
33	was	be	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	30	cop	_	_
34	,	,	PUNCT	,	_	40	punct	_	_
35	but	but	CCONJ	CC	_	40	cc	_	_
36	a	a	DET	DT	Definite=Ind|PronType=Art	38	det	_	_
37	top	top	ADJ	JJ	Degree=Pos	38	amod	_	_
38	predator	predator	NOUN	NN	Number=Sing	40	nsubj	_	_
39	can	can	AUX	MD	VerbForm=Fin	40	aux	_	_
40	shape	shape	VERB	VB	VerbForm=Inf	27	conj	_	Agree=R5-strong|Haiku=10:conj
41	a	a	DET	DT	Definite=Ind|PronType=Art	44	det	_	_
42	whole	whole	ADJ	JJ	Degree=Pos	44	amod	_	_
43	food	food	NOUN	NN	Number=Sing	44	compound	_	_
44	web	web	NOUN	NN	Number=Sing	40	obj	_	_
45	.	.	PUNCT	.	_	3	punct	_	_
```

## Pragmatics {#pragmatics}

<!-- sa -->
- form: statement
- act: narrate
- voice: narrator
- polarity: none
- teacher: kept the draft

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **bring back** | past · passive |  | Wolves |  | 1995 |  |  | vn bring-11.3-1 «NP V NP together»: subject=Theme |
| 2 | **change** | past |  |  |  |  |  |  | vn dress-41.1.1-1-1 «NP V»: agent=Agent |
| 3 | **graze** | past | elk |  |  |  |  |  | vn dine-39.5 «NP V»: agent=Agent |
| 4 | **grow back** | past | some trees |  |  | rivers |  |  | vn appear-48.1.1 «NP V PP.location»: agent=Theme along river=Location |
| 5 | **argue** *speech: disagree* | present | scientists |  |  |  | still |  | vn correspond-36.1-1 «NP V»: agent=Agent |
| 6 | **is** | past | this ripple |  |  |  |  | big *property* | tree rules |
| 7 | **shape** | can | a top predator | a whole food web |  |  |  |  | vn build-26.1-1 «NP.asset V NP»: agent=Asset web=Product |

<!-- .note -->
One row per clause the reader finds. «not said here»: a role filled from the clause above. «roles by»: a VerbNet class and frame when one fits the verb, else the reader's rules on the tree.

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**Licence: [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)**, as the whole of Mova corpus 0.4, of which this treebank (the agreed school, `mova-school-agreed-en.conllu`) is part. The lessons were written for Mova's primary school. Sentence `school:biology:300-the-big-biology-quiz-part-3-dinosaurs-evolution-conservation-and-food.lesson:16`.

**The tree:** Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R1-cc-next ×1, R3-conj-first ×1, R5-strong ×1. **The frames** are read from the tree by Mova's frames reader (`prag`) when this page is built, the lesson read in order, so a pronoun may be resolved from an earlier sentence.

See the [release 0.4](https://md.mova.elamur.ai/free/en/releases/0.4/).

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