The other answer is very good. I just add some more examples, on the Lie algebra level because I'm more familiar with it. I leave it to you to write down the corresponding linear algebraic groups.
However, I think your root space decomposition for the non-split case is a little off. I would expect something like
$$\mathfrak{g} \simeq \mathfrak{z}(\mathfrak{a}) \oplus \bigoplus_{\lambda \in R(\mathfrak{a})} \mathfrak{g}_\lambda$$
where $\mathfrak a$ is a maximal split torus (I say "torus" for short instead of "toral subalgebra" even in the Lie algebra setting), and $\mathfrak{z}(\mathfrak{a})$ is its centraliser (= $0$-eigenspace), which probably is your $\mathfrak{m}$ (even though you should be aware that it's not the $0$-eigenspace of the entire maximal torus you call $T$). But then also the root system $R(\mathfrak a)$ is what is often called a "rational" root system, again not of the maximal torus $T$, but of the maximal split torus $\mathfrak{a}$. Such an $R(\mathfrak a)$ can be empty (in the anisotropic case) or non-reduced i.e. e.g. of type $BC_n$. And yes, the root spaces $\mathfrak{g}_\lambda$ can have dimension $> 1$.
Namely, let's look at the following three Lie algebras over $\mathbb R$:
$\mathfrak{g}_1 = \mathfrak{sl}_3(\mathbb R) = \lbrace \begin{pmatrix}
a & c & e\\
f & b & d\\
h & g & -a-b
\end{pmatrix} : a, ..., h \in \mathbb{R} \rbrace$;
$\mathfrak{g}_2 = \mathfrak{su}_{1,2} := \lbrace
\begin{pmatrix}
a+bi & c+di & ei\\
f+gi & -2bi & -c+di\\
hi & -f+gi & -a+bi
\end{pmatrix} : a, ..., h \in \mathbb{R} \rbrace$;
$\mathfrak{g}_3 = \mathfrak{su}_{3} := \lbrace
\begin{pmatrix}
ia & c+di & g+hi\\
-c+di & ib & e+fi\\
-g+hi & -e+fi & -ai-bi
\end{pmatrix} : a, ..., h \in \mathbb{R} \rbrace$.
They are all simple and $8$-dimensional -- indeed, they all have isomorphic complexification $(\mathfrak{g}_i)_\mathbb C = \mathbb C \otimes_\mathbb R \mathfrak{g}_i \simeq \mathfrak{sl}_3(\mathbb C)$, meaning that they are "real forms" of $\mathfrak{sl}_3$, or expressed with root systems, real forms of type $A_2$. (And over $\mathbb R$, they are the only such forms up to isomorphism.) Indeed, in each of them, the diagonal matrices would form a maximal torus (or rather, toral subalgebra in the Lie algebra setting), which is two-dimensional; and its roots in the complexification form a root system of type $A_2$; but only for the first one is this torus a split torus.
So $\mathfrak{g}_1$ is split. On the other extreme, $\mathfrak{g}_3$ is anisotropic, as it contains no split torus $\neq 0$ at all: The only maximal split torus is $\mathfrak a = 0$, and $R(0) = \emptyset$; hence, $\mathfrak{g}_3 = \mathfrak m = \mathfrak z(0)$.
These are the extreme cases.
Now $\mathfrak{g}_2$ lies between them, so it would be "isotropic" in your nomenclature. (Indeed, this one has a much more special property called quasi-split, vaguely meaning that it's closer to being split than to being anisotropic, but there are more complicated examples of something that is not quasi-split and not anisotropic either.) In this answer I mentioned the maximal split tori of it, which have dimension $1$; the most obvious one being
$$\mathfrak{a} = \begin{pmatrix}
a & 0 & 0\\
0 & 0 & 0\\
0 & 0 & -a
\end{pmatrix}.$$
Notice that its $0$-eigenspace = centraliser (what you seem to call $\mathfrak{m}$) is $\mathfrak{a} \oplus \mathfrak{t}_0$ where $\mathfrak{t}_0 = \begin{pmatrix}
bi & 0 & 0\\
0 & -2bi & 0\\
0 & 0 & bi
\end{pmatrix}$; in this case (this is a special feature of quasi-split Lie algebras though and not true for all "isotropic" cases), this sum happens to be exactly a maximal (but "only half split") torus and becomes the standard maximal split = split maximal torus in the complexification $(\mathfrak{g}_{2})_\mathbb{C} \simeq \mathfrak{sl}_3(\mathbb{C})$. (In general, this $\mathfrak m$ can be bigger, as shown in extreme in the anisotropic case.)
Now the rational root system $R(\mathfrak a)$ is indeed of the non-reduced type $BC_1$, as it consists of the four roots $\pm \lambda, \pm 2 \lambda$, where $\lambda ( \begin{pmatrix}
a & 0 & 0\\
0 & 0 & 0\\
0 & 0 & -a
\end{pmatrix})= a$. You'll see that e.g.
$$\mathfrak g_\lambda = \lbrace \begin{pmatrix}
0 & c+di & 0\\
0 & 0 & -c+di\\
0 & -0 & 0
\end{pmatrix}: c,d \in \mathbb R \rbrace$$ has dimension $2$, whereas
$$\mathfrak g_{2\lambda} = \lbrace \begin{pmatrix}
0 & 0 & ei\\
0 & 0 & 0\\
0 & 0 & 0
\end{pmatrix} : e \in \mathbb R \rbrace$$ has dimension $1$. This and more examples were discussed in greater generality in https://math.stackexchange.com/a/3133194/96384.